System

Abstract

A system is provided.SOLUTION: A system comprising: means for inputting, transmitting, and storing user profile information in a server; means for recording, transmitting, and storing user daily activities in a server; means for estimating applicable subsidies and support systems using generated AI based on information stored by the server; means for identifying, by the server, unapplied subsidies and support systems from estimation results and notifying the user terminals; and means for receiving notification and confirming details by the users.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] In modern society, many people eligible for government support find it difficult to fully understand the information and apply for it. As a result, many people are unable to receive the support they deserve, and government support systems are not being fully utilized. This problem is particularly due to complicated procedures and scattered information. Furthermore, it is difficult to provide optimal support information tailored to each user's individual situation and needs, resulting in many support systems being overlooked. The purpose of this invention is to solve these problems, prevent government support from being overlooked, and provide a system that is equally and easily accessible. [Means for solving the problem]

[0005] The present invention solves the above problems by the following means.

[0006] The system provides a means for users to input and submit profile information, which is then stored by a server. It also includes a means for recording and transmitting the user's daily activities and storing that information on a server. The server then uses generative AI to automatically estimate applicable subsidies and support programs based on the stored information, and identifies unapplied subsidies and support programs from the estimated results. The system also provides a means for the server to notify the user of the identified information on their device, allowing the user to receive the notification and check detailed information. This system eliminates the need for users to search for information themselves and allows them to easily find subsidies and support programs they may have overlooked, thereby increasing the utilization rate of government support.

[0007] "User profile information" refers to personal information entered by a user, including family composition, area of ​​residence, occupation, hobbies, living situation, etc.

[0008] "Daily activities" are records of events and plans related to the user's daily life and work, including diaries, memos, schedules, etc.

[0009] "Generative AI" is a system that uses artificial intelligence technology to analyze a user's profile information and daily activities, automatically predicting applicable subsidies and support programs.

[0010] "Applicable subsidies and support programs" refers to subsidies and support programs that may be available to the user as part of government support designed to address the user's specific circumstances and needs.

[0011] "Unapplied subsidies and support programs" refers to subsidies and support programs that are applicable to the user but that the user has not yet applied for.

[0012] "Server" refers to a computer system that stores information sent by users, runs the generative AI, and provides analysis results.

[0013] "Device" means a device used by a User that provides the means for entering and transmitting profile information and daily activities.

[0014] "Notification information" is information about unapplied subsidies and support programs identified by the server, and is sent to the user's terminal. [Brief explanation of the drawings]

[0015] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0016] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0017] First, the terms used in the following description will be explained.

[0018] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0019] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0020] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0021] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0022] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0023] [First embodiment]

[0024] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0025] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0026] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0027] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0028] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0029] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0030] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0031] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0032] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0033] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0034] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0035] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0036] This invention is a system that uses a generative AI to estimate applicable subsidies and support programs based on a user's profile information and daily activities, and notifies the user of unapplied subsidies and support programs. Specific embodiments of this system are described below.

[0037] Registering profile information

[0038] First, the user installs the application, then enters profile information such as family composition, area of ​​residence, occupation, hobbies, and living situation. The entered information is sent by the device to the server, which then stores it in a database.

[0039] Record your daily activities

[0040] Next, the user enters their daily activities, such as daily diary entries, notes, schedules, etc. into the application, and these records are also sent by the device to the server, which stores them in a database.

[0041] Analysis and estimation by generative AI

[0042] The server extracts the stored profile information and daily activity data for analysis, then runs a generative AI to estimate applicable subsidies and support programs, using advanced analysis to identify the subsidies and support programs that best suit the user's specific circumstances and needs.

[0043] Identifying and notifying unapplied subsidies and support programs

[0044] Once the analysis is complete, the server filters out unapplied subsidies and support programs from the estimated results. It then generates notification information and sends it to the device. The device receives the notification and informs the user that there are unapplied subsidies and support programs.

[0045] Check and apply for subsidies and support programs

[0046] The user checks the notification on their device and views detailed information within the application. They then carefully review the details of the subsidy or support program, prepare the necessary documents, and begin the application process.

[0047] Specific examples

[0048] Example 1: A housewife raising children

[0049] The user installs the application and enters information such as "Family composition: 2 children," "Area of ​​residence: Tokyo," and "Occupation: Housewife." The device sends this to the server, which saves it. The user records information such as "My child's nursery school has been decided" and "Making meals every day is hard" in the diary, which the device also sends to the server and saves. The server uses generation AI to estimate "childcare support subsidies" and "work-saving support systems," and identifies unapplied "childcare cost subsidies." A notification is sent to Person A via the device, who checks the details within the app and applies for the subsidy.

[0050] Example 2: Entrepreneur B starting a new business

[0051] The user installs the application and enters information such as "Business size: small," "Area of ​​residence: Osaka Prefecture," and "Industry: IT services." The device sends this to the server, which saves it. Notes include information such as "Starting a new project" and "Fundraising is an issue," which the device also sends to the server and saves. The server uses generation AI to estimate "New business support subsidies" and "Startup support programs," and identifies unapplied "Entrepreneur support subsidies." A notification is sent to Person B via the device, who checks the details within the app and applies for the subsidy.

[0052] In this way, a system that automatically proposes and notifies users of the most appropriate subsidies and support programs based on their individual circumstances can increase the utilization rate of government support.

[0053] The processing flow will be explained below.

[0054] Step 1:

[0055] The user installs the application and enters profile information such as family composition, area of ​​residence, occupation, hobbies, and living situation.

[0056] Step 2:

[0057] The device transmits the entered profile information to the server.

[0058] Step 3:

[0059] The server stores the received profile information in a database.

[0060] Step 4:

[0061] A user enters daily activities such as diary entries, notes, and schedules into an application.

[0062] Step 5:

[0063] The device sends these daily records to a server.

[0064] Step 6:

[0065] The server stores the received daily records in a database.

[0066] Step 7:

[0067] The server extracts data to be analyzed based on the user's profile information and daily records.

[0068] Step 8:

[0069] The server inputs the data to be analyzed into the generation AI, which then runs the generation AI to estimate applicable subsidies and support systems.

[0070] Step 9:

[0071] The generation AI outputs the analysis results to a server and identifies the most appropriate subsidies and support systems.

[0072] Step 10:

[0073] The server filters out unapplied subsidies and support programs from the analysis results of the generated AI.

[0074] Step 11:

[0075] The server generates information about subsidies and support systems to be notified to users, and formats the notification information.

[0076] Step 12:

[0077] The server transmits the generated notification information to the terminal.

[0078] Step 13:

[0079] The notification information received by the terminal is displayed to the user.

[0080] Step 14:

[0081] The user confirms the notification and views details about the grant or assistance program within the application.

[0082] Step 15:

[0083] The user carefully reviews the details of the subsidy or support system that has been notified to them, prepares the necessary documents, etc., and completes the application process.

[0084] These are the specific processing steps of this system. This system allows users to easily find subsidies and support programs that they may have overlooked, eliminating the need to search for information themselves.

[0085] Example 1

[0086] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0087] In modern society, the inability of many users to properly utilize subsidies and support systems is a problem. In particular, it is difficult to gather the necessary information and make appropriate applications in the midst of busy daily lives. As a result, many people are unable to receive the support that is available to them. This invention aims to automatically suggest the most appropriate subsidies and support systems based on the user's situation and promote their use.

[0088] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0089] In this invention, the server includes means for inputting and transmitting a user's profile information and storing it on the server, means for recording and transmitting the user's daily activities and storing them on the server, means for the server to estimate applicable subsidies and support programs using a generative AI model based on the stored information, means for the server to generate prompt text and input it into the generative AI model to identify the most appropriate subsidy or support program, means for the server to identify unapplied subsidies and support programs from the estimation results and notify the user's device, and means for the user to receive the notification and check the details. This enables users to know the most appropriate subsidies and support programs according to their situation in a timely manner, allowing them to smoothly proceed with the application process.

[0090] "User" refers to any individual or legal entity that uses the System.

[0091] "Profile information" refers to basic information about a user, such as the user's family composition, area of ​​residence, occupation, hobbies, and living situation.

[0092] "Daily activities" refers to actions and records taken in daily life, such as a user's diary, notes, schedule, etc.

[0093] "Server" refers to a computer system that stores and analyzes information sent by users.

[0094] "Generative AI model" refers to an artificial intelligence model used to estimate optimal subsidies and support programs based on user information.

[0095] A "prompt sentence" is a sentence input to a generative AI model, and refers to an instruction sentence that estimates subsidies and support systems based on the user's situation and needs.

[0096] "Subsidies and support systems" refer to financial support and services provided by governments, local governments, companies, etc., and various programs available to users.

[0097] A "notification" is a message sent from the server to a user's device that contains information about unapplied subsidies or support programs.

[0098] This invention is a system that uses a generative AI model to estimate applicable subsidies and support programs based on a user's profile information and daily activities, and notifies the user of unapplied subsidies and support programs. Specific embodiments of this system are described below.

[0099] First, the user installs the application. The application must be downloaded and installed on a device such as a smartphone or PC. When the application is launched, the user is prompted to enter profile information such as family composition, area of ​​residence, occupation, hobbies, and living situation. The device then sends this information to the server, where it is stored in a database.

[0100] Next, the user enters their daily activities, such as their diary, notes, and schedule, into the application. This data is also sent by the device to the server and stored in a database on the server. Furthermore, the application also includes a function to automatically collect daily activity data by linking with daily emails, social media posts, calendar apps, etc.

[0101] The server extracts the saved profile information and daily activity data as the analysis target and runs a generative AI model. The server then generates prompt sentences and inputs them into the generative AI model to identify the most appropriate subsidies and support programs. The generative AI model uses advanced natural language processing technologies such as GPT-4 and BERT.

[0102] Below is an example of a prompt sentence.

[0103] Example prompt sentence:

[0104] User Information:

[0105] Family: 2 children

[0106] Living area: Tokyo

[0107] Occupation: Housewife

[0108] Diary entry:

[0109] The child's nursery school has been decided

[0110] Cooking meals every day is hard

[0111] Please suggest the subsidies and support systems that best suit your users.

[0112] The server uses the generative AI model to analyze and estimate applicable subsidies and support programs. It then filters out unapplied subsidies and support programs from the estimated results and generates notification information. The generated notification information is sent to the device, and the user receives the notification.

[0113] Users can check notifications on their devices and view detailed information within the application. After carefully examining the details of the subsidy or support program notified to them and preparing the necessary documents, they can actually apply. For example, this could involve downloading an application form online, entering the necessary information, and then submitting it or sending it by mail.

[0114] This system allows users to instantly understand the most suitable subsidies and support programs for their own circumstances, allowing them to smoothly proceed with the application process. It also increases the utilization rate of government support.

[0115] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0116] Step 1: Register your profile information

[0117] First, the user installs the application. Once the installation is complete, the user launches the application and enters profile information such as family composition, area of ​​residence, occupation, hobbies, and living situation. This information is temporarily stored on the device. The device then encrypts this data and sends it to the server via a secure communication protocol (e.g., HTTPS). The server then stores the received data in a database.

[0118] Input: Profile information entered by the user

[0119] Output: Encrypted profile information is sent to the server and stored in a database

[0120] Step 2: Record your daily activities

[0121] Users enter their daily diary entries, memos, schedules, etc. into the application. It is also possible to automatically collect daily activity data by linking with email, social media, and calendar apps. The device collects and organizes this data, re-encrypts it, and sends it to the server, which then stores it in a database.

[0122] Input: Daily activity data entered by the user and automatically collected data

[0123] Output: Encrypted daily activity data is sent to a server and stored in a database.

[0124] Step 3: Analyze the data

[0125] The server periodically extracts profile information and daily activity data from the database. It generates prompts based on the extracted data for a generative AI model (e.g., GPT-4). The generated prompts are then input into the generative AI model to analyze and predict applicable subsidies and support programs.

[0126] Input: Saved profile information and daily activity data

[0127] Output: Applicable subsidies and support programs estimated by the generative AI model

[0128] Step 4: Identify unapplied subsidies and support programs from the estimation results

[0129] The server uses the inference results from the generative AI model to perform a filtering process to identify subsidies and support programs that the user has not yet applied for, excluding subsidies and support programs that have already been applied for.

[0130] Input: Estimated results of subsidies and support programs generated by a generative AI model

[0131] Output: Filtered unclaimed grants and support programs

[0132] Step 5: Generate and send notifications

[0133] The server generates notification information based on the filtered list of unapplied subsidies and support programs. This notification information is then encrypted again and sent to the device. The device analyzes the received notification and displays the notification message as a pop-up or in-app notification.

[0134] Input: Filtered unclaimed grants and assistance programs

[0135] Output: A notification message to the user

[0136] Step 6: Check and apply for subsidies and support programs

[0137] The user checks the notification on their device and views detailed information within the application. Based on the notification, they can prepare the necessary documents, download the application form online, enter the necessary information, and then submit it or send it by mail.

[0138] Input: Notification message displayed on the terminal

[0139] Output: Completion of grant and support application process

[0140] In this way, users can learn about the most appropriate subsidies and support systems for their own circumstances and smoothly proceed with the necessary procedures.

[0141] (Application example 1)

[0142] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0143] Currently, many owners and users of autonomous vehicles must search for information on applicable subsidies and support programs themselves, which is time-consuming and laborious, resulting in a problem of reduced efficiency in utilizing government support. Furthermore, information on subsidies and support programs is scattered, making it difficult for users to obtain the necessary information in a timely manner. Therefore, the present invention aims to solve these problems by providing a system that automatically suggests optimal subsidies and support programs to owners and users of autonomous vehicles and supports their applications.

[0144] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0145] In this invention, the server includes means for inputting and transmitting user profile information and storing it on the server, means for recording and transmitting the user's daily activities and storing them on the server, means for the server to estimate applicable subsidies and support programs using a generation AI based on the stored information, means for the server to identify unapplied subsidies and support programs from the estimation results and notify the user's terminal, means for the user to receive the notification and check the details, means for inputting and transmitting profile information of the vehicle owner or user via a smartphone and storing it on the server, means for recording and transmitting daily operation data of the autonomous vehicle and storing it on the server, and means for receiving notifications using a smartphone and checking and applying for autonomous vehicle subsidies and support programs. This enables owners and users of autonomous vehicles to be aware of applicable subsidies and support programs in a timely manner and to quickly apply for them.

[0146] "User" means any individual or entity that uses the System.

[0147] "Profile information" refers to basic information about a user, such as family composition, area of ​​residence, and occupation.

[0148] "Daily activities" refers to the actions and content of the user's daily activities, including, for example, diaries, notes, schedules, etc.

[0149] "Server" refers to a computer system that receives, stores, and analyzes data sent by users.

[0150] "Generative AI" refers to artificial intelligence algorithms that use machine learning to analyze data and predict applicable subsidies and support programs.

[0151] "Subsidies and assistance programs" means financial assistance or technical support provided by governments or public institutions to individuals or entities that meet certain conditions.

[0152] "Notification" refers to information that the server sends to the user's device based on the estimated results, and serves to inform the user of unapplied subsidies and support programs.

[0153] "Device" refers to an electronic device (smartphone, tablet, etc.) used by a user that has the function of receiving and displaying notifications from the server.

[0154] An "autonomous vehicle" refers to a vehicle that can drive autonomously using artificial intelligence and related technologies.

[0155] "Operation data" refers to information such as mileage, route, fuel consumption, and usage time accumulated daily by autonomous vehicles.

[0156] This invention is a system for helping owners or users of autonomous vehicles easily understand and quickly apply for applicable subsidies and support programs. This system includes the following elements, which work in conjunction with each other:

[0157] Program processing overview

[0158] 1. Server:

[0159] Storing profile information: Receives and stores in a database profile information about the owner or user of an autonomous vehicle (e.g., vehicle model, purchase date, purpose of use, area of ​​residence, etc.) entered by the user using their smartphone.

[0160] Storage of operation data: Daily operation data of the autonomous vehicle (e.g., mileage, route, fuel consumption, usage time, etc.) is received from the smartphone and stored in a database.

[0161] Analysis and prediction using generative AI: Generative AI is run based on stored profile information and driving data to predict applicable subsidies and support programs.

[0162] Generate and send notifications: Identify unapplied subsidies and support programs from the estimation results, generate corresponding notification information, and send it to the user's device.

[0163] 2. Device (smartphone):

[0164] Entering and sending profile information: The profile information entered by the user on their smartphone is sent to the server.

[0165] Collection and transmission of operation data: Daily operation data is collected from the autonomous vehicle and transmitted to the server.

[0166] Receive and display notifications: Receive notifications sent from the server and display them to the user.

[0167] View details and apply: Users can review notifications, view details about the grants and support programs they need, and apply.

[0168] 3. Specific hardware and software:

[0169] Hardware:

[0170] Smartphone (Android or iOS)

[0171] Autonomous vehicle on-board systems

[0172] software:

[0173] Smartphone application

[0174] Server system (database, generative AI engine)

[0175] Cloud services (AWS, Google Cloud)

[0176] Specific examples

[0177] For example, a user installs a smartphone application called "Smart Car Assistance Assistant" and enters their profile information as the owner of an autonomous vehicle (e.g., model: "sedan," purchase date: "January 2022," purpose of use: "commuting," and area of ​​residence: "Tokyo"). Daily driving data (e.g., mileage: 50 km, fuel economy: 12 km / L, usage time: 1 hour, route: "point A to point B") is then sent from the autonomous vehicle to the smartphone. The generation AI then analyzes the data on the server and predicts which subsidies the user is eligible for (e.g., Green Slow Vance subsidies, smart city support programs). Based on the prediction results, any unapplied subsidies are identified, which the user can check on their smartphone and proceed with the application process.

[0178] Example prompts for generative AI models

[0179] The file format is text and looks like this:

[0180] The user's profile information is as follows:

[0181] Car type: Sedan

[0182] Purchase date: 2022-01-01

[0183] Purpose of use: Commuting

[0184] Living area: Tokyo

[0185] Additionally, the daily operating data is as follows:

[0186] Mileage: 50 km

[0187] Fuel economy: 12 km / L

[0188] Usage time: 1 hour

[0189] Route: Point A to Point B

[0190] Based on the above information, estimate which subsidies and support programs are applicable to you.

[0191] In this way, the entire system works together, making it easier for owners and users of autonomous vehicles to find and quickly apply for appropriate subsidies and support programs.

[0192] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0193] Step 1:

[0194] The user uses their smartphone to enter profile information (e.g., car model, purchase date, purpose of use, area of ​​residence, etc.) and sends that information to the server, which receives the entered information and stores it in a database.

[0195] Input: User profile information

[0196] Output: Profile information stored on the server

[0197] Operation: Data entered into the smartphone application is sent to the server as an HTTP request, and then saved in a database on the server.

[0198] Step 2:

[0199] The terminal acquires the daily driving data of the autonomous vehicle (e.g., mileage, driving route, fuel consumption, usage time, etc.) from the in-vehicle system and transmits the data to a server, where it is stored in a database.

[0200] Input: Autonomous vehicle operation data

[0201] Output: Operation data stored on the server

[0202] How it works: Data is transferred from the in-car system to a smartphone via Bluetooth or Wi-Fi, and then sent from the smartphone to a server as an HTTP request.

[0203] Step 3:

[0204] The server extracts the saved profile information and driving data and analyzes it using the AI ​​generation system. As a result of the analysis, applicable subsidies and support systems are estimated.

[0205] Input: Profile information, operation data

[0206] Output: List of estimated subsidies and support programs

[0207] How it works: Profile information and trip data are retrieved from a database and fed into a generative AI model, which analyzes the data based on prompts and predicts applicable subsidies and assistance programs.

[0208] Step 4:

[0209] The server identifies unapplied subsidies and support programs from the estimation results, generates notification information, and sends it to the user's device.

[0210] Input: List of estimated grants and support programs

[0211] Output: Notification information sent to the user's terminal

[0212] How it works: Compares the prediction results, filters and identifies unapplied subsidies and support programs, then generates notification content and sends a push notification or email to the user's device.

[0213] Step 5:

[0214] The device receives the notification sent from the server and displays it to the user. The user checks the notification and views detailed information about the subsidies and support programs they need.

[0215] Input: Notification information to the user device

[0216] Output: Display a notification to the user

[0217] How it works: The smartphone application receives a notification from the server and displays it to the user within the app. The user can then check the details and take the necessary steps within the app.

[0218] Step 6:

[0219] The user reviews the details of the subsidy or support system that has been notified to them, prepares the necessary documents, and completes the application process.

[0220] Input: Details of the grant or support program notified

[0221] Output: Grant and support application

[0222] How it works: Based on the details of grants and support programs that users view within the app, they can prepare the necessary documents and complete the application process online or offline.

[0223] In this way, each step works in tandem, enabling owners and users of autonomous vehicles to easily find and quickly apply for appropriate subsidies and support programs.

[0224] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0225] This invention is a system that uses a generative AI and an emotion engine to estimate applicable subsidies and support programs based on a user's profile information and daily activities, and notifies the user of unapplied subsidies and support programs. Specific embodiments of this system are described below.

[0226] Registering profile information

[0227] First, the user installs the application, then enters profile information such as family composition, area of ​​residence, occupation, hobbies, and living situation. The entered information is sent by the device to the server, which then stores it in a database.

[0228] Record your daily activities

[0229] Next, the user enters their daily activities, such as daily diary entries, notes, schedules, etc. into the application, and these records are also sent by the device to the server, which stores them in a database.

[0230] Analysis by emotion engine

[0231] The server recognizes the user's emotions from daily records using an emotion engine, which analyzes the contents of diary entries and memos to extract positive and negative emotions.

[0232] Analysis and estimation by generative AI

[0233] The server extracts data to be analyzed based on the stored profile information and the emotional data recognized by the emotion engine. It then runs a generative AI to predict applicable subsidies and support programs. The generative AI takes into account the user's specific situation and needs as well as the emotional data to identify the most suitable subsidies and support programs.

[0234] Identifying and notifying unapplied subsidies and support programs

[0235] Once the analysis is complete, the server filters out unapplied subsidies and support programs from the estimated results. It then generates notification information and sends it to the device. The device receives the notification and informs the user that there are unapplied subsidies and support programs.

[0236] Check and apply for subsidies and support programs

[0237] The user checks the notification on their device and views detailed information within the application. They then carefully review the details of the subsidy or support program, prepare the necessary documents, and begin the application process.

[0238] Specific examples

[0239] Example 1: A housewife raising children

[0240] The user installs the application and enters information such as "Family composition: 2 children," "Area of ​​residence: Tokyo," and "Occupation: Housewife." The device sends this to the server, which saves it. The user records entries in the diary such as "My child's nursery school has been decided" and "Making meals every day is hard," which the device also sends to the server and saves. The server uses an emotion engine to analyze the diary content and extract emotional data. The generation AI performs analysis based on this data and estimates "childcare support subsidies" and "work-saving support systems." From this, it identifies unapplied "childcare cost subsidies" and sends a notification to Person A via the device. Person A checks the details within the app and applies for the subsidy.

[0241] Example 2: Entrepreneur B starting a new business

[0242] The user installs the application and enters information such as "business scale: small," "area of ​​residence: Osaka Prefecture," and "industry: IT services." The device sends this to the server, which saves it. Notes include content such as "starting a new project" and "fundraising is an issue," which the device also sends to the server and saves. The server uses an emotion engine to analyze the content of the notes and extracts emotional data. The generation AI performs analysis based on this data and estimates "new business support subsidies" and "startup support programs," among other things. From these, it identifies an "entrepreneur support subsidy" that has not yet been applied for, and sends a notification to Person B via the device. Person B checks the details within the app and applies for the subsidy.

[0243] In this way, by combining an emotion engine that also analyzes the user's emotions, it is possible to propose more accurate and applicable subsidies and support programs. Users can receive support information tailored to their individual circumstances and emotions, further increasing the utilization rate of government support.

[0244] The processing flow will be explained below.

[0245] Step 1:

[0246] The user installs the application and enters profile information such as family composition, area of ​​residence, occupation, hobbies, and living situation.

[0247] Step 2:

[0248] The device transmits the entered profile information to the server.

[0249] Step 3:

[0250] The server stores the received profile information in a database.

[0251] Step 4:

[0252] A user enters daily activities such as diary entries, notes, and schedules into an application.

[0253] Step 5:

[0254] The device sends these daily records to a server.

[0255] Step 6:

[0256] The server stores the received daily records in a database.

[0257] Step 7:

[0258] The server uses an emotion engine to recognize the user's emotions from daily records. The emotion engine analyzes the contents of the diary and memos to extract positive and negative emotions.

[0259] Step 8:

[0260] The server extracts data to be analyzed based on the stored profile information and emotion data recognized by the emotion engine.

[0261] Step 9:

[0262] The server inputs the data to be analyzed into the AI ​​generator, which then runs the AI ​​to estimate applicable subsidies and support programs. The AI ​​then takes into account profile information and emotion data to identify the most suitable subsidies and support programs.

[0263] Step 10:

[0264] The generation AI outputs the analysis results to the server, which then filters out unapplied subsidies and support programs from the estimated results.

[0265] Step 11:

[0266] The server generates information about subsidies and support systems to be notified to users, and formats the notification information.

[0267] Step 12:

[0268] The server transmits the generated notification information to the terminal.

[0269] Step 13:

[0270] The notification information received by the terminal is displayed to the user.

[0271] Step 14:

[0272] The user confirms the notification and views details about the grant or assistance program within the application.

[0273] Step 15:

[0274] The user carefully reviews the details of the subsidy or support system that has been notified to them, prepares the necessary documents, etc., and completes the application process.

[0275] Specific examples

[0276] Example 1: A housewife raising children

[0277] Step 1: The user (Ms. A) installs the application and enters information such as "Family composition: 2 children," "Area of ​​residence: Tokyo," and "Occupation: Housewife."

[0278] Step 2: The device sends the profile information to the server, which stores it.

[0279] Steps 4-6: Person A records in his / her diary, "My child's nursery school has been decided" and "Making meals every day is hard," and the device sends this to the server and stores it.

[0280] Step 7: The server uses an emotion engine to analyze the diary content and extract emotion data (e.g., "Positive: 50%, Negative: 50%).

[0281] Steps 8-10: The server uses the AI ​​to analyze the profile and emotional data, and estimates "childcare support subsidies" and "work-shortening support systems."

[0282] Steps 10-12: The server identifies any unapplied "childcare expense subsidies" from the estimation results, generates notification information, and sends it to the terminal.

[0283] Step 13: The device displays a notification to Person A, who then checks the details.

[0284] Steps 14-15: Person A applies for a subsidy.

[0285] Example 2: Entrepreneur B starting a new business

[0286] Step 1: The user (Mr. B) installs the application and enters information such as "Business size: small," "Area of ​​residence: Osaka Prefecture," and "Industry: IT services."

[0287] Step 2: The device sends the profile information to the server, which stores it.

[0288] Steps 4-6: Person B records in his / her notes "Starting a new project" and "Funding is an issue," and the device sends this to the server and saves it.

[0289] Step 7: The server uses the emotion engine to analyze the content of the note and extract emotion data (e.g., "Positive: 70%, Negative: 30%).

[0290] Steps 8-10: The server uses the generative AI to analyze the profile and emotion data and estimates "new business support subsidies" and "startup support programs," etc.

[0291] Steps 10-12: The server identifies unapplied "Entrepreneur Support Subsidies" from the estimation results, generates notification information, and sends it to the terminal.

[0292] Step 13: The device displays a notification to Person B, who checks the details.

[0293] Steps 14-15: Person B applies for the subsidy.

[0294] By combining this system with an emotion engine that also analyzes the user's emotions, it is possible to provide support information optimized for the user's situation and emotions, thereby increasing the utilization rate of government support.

[0295] Example 2

[0296] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0297] In modern society, it is extremely difficult for users to find and appropriately apply for support programs and subsidies that may apply to them. In particular, there is a need for a method to efficiently identify and notify optimal subsidies and support programs based on diverse profile information and daily activity records. Conventional systems recommend support programs without considering the user's emotional state, making it difficult to suggest appropriate support programs, which results in a low utilization rate of support programs.

[0298] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for inputting and transmitting the user's profile information and saving it on the server, means for recording and transmitting the user's daily activities and saving it on the server, emotion analysis means for the server to analyze the transmitted information on daily activities, means for the server to estimate applicable support systems using a generation AI based on the stored profile information and emotion data, means for the server to identify unapplied support systems from the estimation results and notify the user's terminal, and means for the user to receive the notification and check the details. This makes it possible to efficiently identify and notify an appropriate support system according to the user's emotional state.

[0299] 1. "User" refers to a person who uses the system and who enters their personal profile information and daily activities.

[0300] 2. "Profile information" refers to personal information such as the user's family composition, area of ​​residence, occupation, hobbies, and living situation.

[0301] 3. "Daily Activities" refers to the user's diary, notes, schedules, and other records of daily activities and events.

[0302] 4. "Device" refers to the electronic device used by a User to enter and transmit profile information and daily activities to the Server.

[0303] 5. "Server" refers to the computer system that receives, stores, and analyzes profile information and daily activity data.

[0304] 6. "Emotion analysis means" refers to the means by which the server analyzes information on daily activities and extracts user emotion data.

[0305] 7. “Generative AI” refers to an artificial intelligence system that predicts applicable assistance programs based on a user’s profile information and emotional data.

[0306] 8. “Estimation Method” refers to a method for using Generative AI to estimate the support system applicable to a user.

[0307] 9. "Notification means" refers to the means by which the server identifies unapplied support programs from the estimation results and notifies the user's device.

[0308] 10. "Means for checking details" refers to the means by which a user receives notifications on their device and checks detailed information about the support program.

[0309] 11. "Support Systems" refers to subsidies, grants, support programs, etc. available to Users.

[0310] This invention is a system that uses generative AI and an emotion engine to estimate applicable support systems based on a user's profile information and daily activities, and notifies the user of support systems for which they have not yet applied.

[0311] Registering profile information

[0312] The user first installs the application. Then, they enter profile information such as family composition, area of ​​residence, occupation, hobbies, and living situation. The entered information is sent by the device to the server, which then stores it in a database. The device used for this could be a smartphone, tablet, or PC.

[0313] Record your daily activities

[0314] Users input their daily activities such as daily diary entries, notes, schedules, etc. into the application, and these records are also sent by the device to the server, which stores them in a database.

[0315] Analysis by emotion engine

[0316] The server inputs daily records into an emotion engine to recognize the user's emotions. The emotion engine uses NLP (natural language processing) technology to analyze the contents of the diary and memos and extract positive and negative emotions.

[0317] For example, from a note such as "I was very tired today, but it was fun playing with my kids," the emotion engine extracts the emotional data of "tired" and "fun."

[0318] Analysis and estimation by generative AI

[0319] The server extracts data to be analyzed based on the stored profile information and emotion data, then runs a generative AI to predict applicable subsidies and support programs. The generative AI uses models such as GPT-3 to identify the most suitable support program, taking into account the user's specific situation, needs, and emotion data.

[0320] As a concrete example, the following prompt sentence is input to the generation AI:

[0321] The user enters information such as "Family composition: 3 people," "Area of ​​residence: Kanagawa Prefecture," "Occupation: Company employee," "Diary content: 'My daily commute is difficult,'" and "Hobby: Cycling," and the service suggests support systems such as "Childcare support subsidies" and "Family travel support systems."

[0322] Identifying and notifying unapplied subsidies and support programs

[0323] Once the analysis is complete, the server filters out unapplied subsidies and support programs from the estimated results, identifies those that have not been applied for, and generates notification information to send to the device.

[0324] As a specific operation, for example, a notification stating "You have unapplied childcare subsidies" is generated and sent to the user's device.

[0325] Check and apply for subsidies and support programs

[0326] The user checks the notification on their device and views detailed information within the application. They then carefully review the details of the subsidy or support program, prepare the necessary documents, and begin the application process.

[0327] Specifically, the user clicks on "Childcare Expense Subsidy" in the app to view detailed information, checks the list of required application documents, prepares them, and fills out the actual application form.

[0328] This system allows users to efficiently obtain information on subsidies and support programs that suit their own circumstances and feelings, which is expected to increase the utilization rate of applicable support programs and enrich users' daily lives.

[0329] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0330] Step 1: Register your profile information

[0331] Users install the application and enter profile information such as family composition, area of ​​residence, occupation, hobbies, and living situation. The entered information is sent to the server by the device. The server receives the profile information and stores it in a database. Accurate storage of this data makes it possible to estimate support systems that are appropriate for the user's situation.

[0332] Input: User profile information

[0333] Output: Profile information stored in a database

[0334] Step 2: Record your daily activities

[0335] Users enter their daily activities, such as daily diaries, notes, and schedules, into the application. These records are also sent to the server by the device. The server receives the sent information on daily activities and stores it in a database. This allows detailed data on the user's daily life to be collected.

[0336] Input: User's daily activity information

[0337] Output: Daily activity information stored in a database

[0338] Step 3: Analysis by Emotion Engine

[0339] The server inputs information about daily activities into the emotion engine to recognize the user's emotions. The emotion engine uses NLP (natural language processing) technology to analyze the contents of the diary and memos and extract positive and negative emotions. For example, it can extract "negative emotions" from a memo such as "I'm very tired today."

[0340] Input: Daily activity information

[0341] Output: Extracted emotion data

[0342] Step 4: Analysis and inference by generative AI

[0343] The server extracts data to be analyzed based on the stored profile information and emotional data. It then uses a generative AI to predict applicable subsidies and support programs. Specifically, the AI ​​inputs prompts and identifies the most appropriate support program based on the user's specific situation, needs, and emotional data.

[0344] For example, you could input the following prompt into the generator AI:

[0345] The user enters information such as "Family composition: 3 people," "Area of ​​residence: Kanagawa Prefecture," "Occupation: Company employee," "Diary content: 'My daily commute is difficult,'" and "Hobby: Cycling," and the service suggests support systems such as "Childcare support subsidies" and "Family travel support systems."

[0346] Input: Profile information and emotional data

[0347] Output: List of estimated support systems

[0348] Step 5: Identify and notify unclaimed grants and support programs

[0349] Once the analysis is complete, the server filters out unapplied subsidies and support programs from the estimated results. It identifies those that have not been applied for, generates notification information, and sends it to the device. Specifically, it generates a notification saying, "You have unapplied childcare subsidies," and sends it to the user's device.

[0350] Input: List of estimated support systems

[0351] Output: Notification information

[0352] Step 6: Check and apply for subsidies and support programs

[0353] The user checks the notification on their device and views detailed information within the application. The user then carefully reviews the details of the subsidy or support system notified to them, prepares the necessary documents, and actually applies. For example, the user clicks on "Childcare Expense Subsidy" in the app, views detailed information, and checks and prepares the list of necessary application documents.

[0354] Input: Notification information

[0355] Output: Application procedure completed

[0356] In this way, each processing step works in tandem, allowing users to efficiently find and apply for subsidies and support programs that suit their own situation and feelings. This system is expected to increase the utilization rate of applicable support programs and enrich users' daily lives.

[0357] (Application example 2)

[0358] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0359] Conventional systems for providing information on subsidies and support programs have had the problem of being unable to provide appropriate support information because they are unable to fully consider the individual circumstances and needs of users. Furthermore, the information on subsidies and support programs provided was static and did not reflect the user's daily activities or emotions, making it difficult to provide sufficient convenience. Furthermore, product recommendations on online shopping sites lacked personalized suggestions based on individual users' emotions and profile information.

[0360] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0361] In this invention, the server includes means for inputting and transmitting a user's profile information and storing it on the server, means for recording and transmitting the user's daily activities and storing them on the server, means for the server to extract the user's emotional data using an emotion engine based on the stored information, means for the server to estimate applicable subsidies and support programs and optimal products and coupons using generative AI based on the emotional data and profile information, means for the server to identify unapplied subsidies and support programs and unused coupons from the estimation results and notify the user's device, and means for the user to receive the notification and check the details. This makes it possible to provide personalized support information and product recommendations according to the user's individual situation and emotions.

[0362] "User profile information" refers to personal data of a user, including information such as location, hobbies, occupation, family structure, and membership status.

[0363] "Daily activities" refers to a record of a user's daily actions and events, including purchase history, reviews, comments, etc.

[0364] A "server" is a computer system that stores, processes, and analyzes data.

[0365] An "emotion engine" is a software system that analyzes text data entered by users, such as diaries, comments, reviews, and notes, and extracts positive or negative emotions.

[0366] "Generative AI" is an artificial intelligence system that predicts applicable subsidies, support programs, products, and coupons based on collected data.

[0367] "Using generative AI to estimate applicable subsidies and support programs, as well as optimal products and coupons" means using collected data and artificial intelligence technology to identify the subsidies, support programs, products, and coupons that are most suitable for users.

[0368] "Unapplied subsidies and support programs, and unused coupons" refers to subsidies and support programs for which the user has not yet applied, and coupons that have not yet been used.

[0369] A "notification" is a message or alert that is displayed on a device to inform the user of information.

[0370] A "terminal" is a device that is directly operated by a user, such as a smartphone, tablet, or PC.

[0371] "Based on profile information and emotional data" refers to making inferences using basic information about each user and extracted emotional data.

[0372] The present invention is a system for allowing a user to receive personalized product and coupon information from an online shopping site. Specific embodiments of the system will be described below.

[0373] First, the user installs an application on their smartphone, through which they enter their profile information, such as their region, hobbies, occupation, family composition, and membership status. The entered information is sent by the smartphone to a server, which then stores it in a database.

[0374] Next, users enter their daily activities into the application, such as their daily purchase history, reviews, comments, etc. These records are also sent by the device to the server, which stores them in a database.

[0375] The server extracts user emotion data using an emotion engine (e.g., IBM Watson Natural Language Understanding) based on the saved daily activity data. The emotion engine analyzes the content of reviews and comments to extract positive and negative emotions.

[0376] Next, the server uses generative AI (e.g., OpenAI GPT-3) to predict the best products, coupons, subsidies, and support programs for the user based on the emotional data and profile information. The generative AI considers the user's specific situation and needs as well as the emotional data to identify the most suitable products, coupons, subsidies, and support programs.

[0377] Once the analysis is complete, the server filters out unused coupons and unclaimed subsidies and support programs from the estimated results. It then generates notification information and sends it to the device. The device receives the notification and informs the user of the existence of unused coupons and unclaimed subsidies and support programs.

[0378] Users can check the notification on their device and view detailed information within the app. They can then review the details of the coupons, subsidies, and support programs they have been notified about, purchase the products they need, or apply for subsidies.

[0379] Specific examples

[0380] Example 1: For students living in urban areas

[0381] For example, a student living in an urban area starts using the app and enters information such as "Area of ​​Residence: Urban," "Occupation: Student," and "Hobbies: Outdoors." This student often purchases outdoor equipment and enters comments such as "I enjoy camping outdoors" and "I need gear for the change of seasons" as part of his daily activity log. The emotion engine analyzes these comments, and generative AI predicts seasonal discount coupons and local outdoor support programs. A notification is sent, and the student checks the coupons in the app and purchases the products.

[0382] Prompt Sentence Examples

[0383] If a student who frequently purchases outdoor equipment leaves a positive comment as a result of the sentiment engine, we estimate applicable discount coupons and outdoor support programs.

[0384] In this way, a system that combines analysis using an emotion engine with generative AI allows users to receive support information and optimal products and coupons tailored to their individual situation and emotions, improving the user's shopping experience and the utilization rate of government support.

[0385] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0386] Step 1:

[0387] User enters and submits profile information

[0388] Users use their smartphones to enter profile information such as their region, hobbies, occupation, family structure, and membership status into the application. The entered information is sent to the server by the device. The entered data is the user's basic personal information, and after being sent to the server, it is stored in a database.

[0389] Step 2:

[0390] Users record and submit their daily activities

[0391] Users input their daily activities, such as their purchase history, reviews, and comments, into the application. These records are also sent by the device to the server, which then stores them in a database. The input data is the user's behavioral history and opinions, and is saved for future analysis.

[0392] Step 3:

[0393] The server extracts emotion data using an emotion engine.

[0394] The server extracts user emotion data using an emotion engine (e.g., IBM Watson Natural Language Understanding) based on the stored daily activity data. The emotion engine analyzes the content of reviews and comments to extract positive and negative emotions. The input data is daily activity data, and the extracted emotion data is generated by the emotion engine.

[0395] Step 4:

[0396] The server uses generated AI to estimate optimal products, coupons, subsidies, and support programs.

[0397] The server uses generative AI (e.g., OpenAI GPT-3) to estimate the best products, coupons, subsidies, and support programs for the user based on the emotional data and profile information. The generative AI considers the emotional data as well as the user's specific situation and needs to identify the most suitable products, coupons, subsidies, and support programs. The input data is the emotional data and profile information, and the output data is a list of estimated products, coupons, subsidies, and support programs.

[0398] Step 5:

[0399] The server identifies unused coupons, unapplied subsidies, and support programs from the estimation results.

[0400] The server uses the estimation results to filter out unused coupons, unapplied subsidies, and support programs. The goal is to extract only information that the user has not yet used. The input data is the estimation results, and the output data is a list of unused coupons, unapplied subsidies, and support programs.

[0401] Step 6:

[0402] The server generates notification information and sends it to the device.

[0403] The server generates notification information based on a list of unused coupons, unclaimed subsidies, and support programs, and sends it to the terminal. The notification contains information about new coupons, subsidies, and support programs available to the user. The input data is information about unused coupons and unclaimed support programs, and the output data is the notification information.

[0404] Step 7:

[0405] The device receives the notification and displays it to the user.

[0406] The device receives the notification information sent from the server and displays the notification to the user. The user checks the notification and views detailed information within the application. The input data is the notification information, and the output data is the notification message displayed on the device.

[0407] Step 8:

[0408] The user confirms the details and takes the necessary steps

[0409] The user checks the notification on their device and views detailed information within the application. They then carefully examine the details of the coupons, subsidies, and support programs they have been notified of, and purchase the products they need or apply for subsidies. The input data is detailed information, and the output data is the user's purchase history and application information.

[0410] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0411] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0412] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0413] [Second embodiment]

[0414] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0415] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0416] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0417] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0418] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0419] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0420] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0421] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0422] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0423] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0424] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0425] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0426] This invention is a system that uses a generative AI to estimate applicable subsidies and support programs based on a user's profile information and daily activities, and notifies the user of unapplied subsidies and support programs. Specific embodiments of this system are described below.

[0427] Registering profile information

[0428] First, the user installs the application, then enters profile information such as family composition, area of ​​residence, occupation, hobbies, and living situation. The entered information is sent by the device to the server, which then stores it in a database.

[0429] Record your daily activities

[0430] Next, the user enters their daily activities, such as daily diary entries, notes, schedules, etc. into the application, and these records are also sent by the device to the server, which stores them in a database.

[0431] Analysis and estimation by generative AI

[0432] The server extracts the stored profile information and daily activity data for analysis, then runs a generative AI to estimate applicable subsidies and support programs, using advanced analysis to identify the subsidies and support programs that best suit the user's specific circumstances and needs.

[0433] Identifying and notifying unapplied subsidies and support programs

[0434] Once the analysis is complete, the server filters out unapplied subsidies and support programs from the estimated results. It then generates notification information and sends it to the device. The device receives the notification and informs the user that there are unapplied subsidies and support programs.

[0435] Check and apply for subsidies and support programs

[0436] The user checks the notification on their device and views detailed information within the application. They then carefully review the details of the subsidy or support program, prepare the necessary documents, and begin the application process.

[0437] Specific examples

[0438] Example 1: A housewife raising children

[0439] The user installs the application and enters information such as "Family composition: 2 children," "Area of ​​residence: Tokyo," and "Occupation: Housewife." The device sends this to the server, which saves it. The user records information such as "My child's nursery school has been decided" and "Making meals every day is hard" in the diary, which the device also sends to the server and saves. The server uses generation AI to estimate "childcare support subsidies" and "work-saving support systems," and identifies unapplied "childcare cost subsidies." A notification is sent to Person A via the device, who checks the details within the app and applies for the subsidy.

[0440] Example 2: Entrepreneur B starting a new business

[0441] The user installs the application and enters information such as "Business size: small," "Area of ​​residence: Osaka Prefecture," and "Industry: IT services." The device sends this to the server, which saves it. Notes include information such as "Starting a new project" and "Fundraising is an issue," which the device also sends to the server and saves. The server uses generation AI to estimate "New business support subsidies" and "Startup support programs," and identifies unapplied "Entrepreneur support subsidies." A notification is sent to Person B via the device, who checks the details within the app and applies for the subsidy.

[0442] In this way, a system that automatically proposes and notifies users of the most appropriate subsidies and support programs based on their individual circumstances can increase the utilization rate of government support.

[0443] The processing flow will be explained below.

[0444] Step 1:

[0445] The user installs the application and enters profile information such as family composition, area of ​​residence, occupation, hobbies, and living situation.

[0446] Step 2:

[0447] The device transmits the entered profile information to the server.

[0448] Step 3:

[0449] The server stores the received profile information in a database.

[0450] Step 4:

[0451] A user enters daily activities such as diary entries, notes, and schedules into an application.

[0452] Step 5:

[0453] The device sends these daily records to a server.

[0454] Step 6:

[0455] The server stores the received daily records in a database.

[0456] Step 7:

[0457] The server extracts data to be analyzed based on the user's profile information and daily records.

[0458] Step 8:

[0459] The server inputs the data to be analyzed into the generation AI, which then runs the generation AI to estimate applicable subsidies and support systems.

[0460] Step 9:

[0461] The generation AI outputs the analysis results to a server and identifies the most appropriate subsidies and support systems.

[0462] Step 10:

[0463] The server filters out unapplied subsidies and support programs from the analysis results of the generated AI.

[0464] Step 11:

[0465] The server generates information about subsidies and support systems to be notified to users, and formats the notification information.

[0466] Step 12:

[0467] The server transmits the generated notification information to the terminal.

[0468] Step 13:

[0469] The notification information received by the terminal is displayed to the user.

[0470] Step 14:

[0471] The user confirms the notification and views details about the grant or assistance program within the application.

[0472] Step 15:

[0473] The user carefully reviews the details of the subsidy or support system that has been notified to them, prepares the necessary documents, etc., and completes the application process.

[0474] These are the specific processing steps of this system. This system allows users to easily find subsidies and support programs that they may have overlooked, eliminating the need to search for information themselves.

[0475] Example 1

[0476] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0477] In modern society, the inability of many users to properly utilize subsidies and support systems is a problem. In particular, it is difficult to gather the necessary information and make appropriate applications in the midst of busy daily lives. As a result, many people are unable to receive the support that is available to them. This invention aims to automatically suggest the most appropriate subsidies and support systems based on the user's situation and promote their use.

[0478] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0479] In this invention, the server includes means for inputting and transmitting a user's profile information and storing it on the server, means for recording and transmitting the user's daily activities and storing them on the server, means for the server to estimate applicable subsidies and support programs using a generative AI model based on the stored information, means for the server to generate prompt text and input it into the generative AI model to identify the most appropriate subsidy or support program, means for the server to identify unapplied subsidies and support programs from the estimation results and notify the user's device, and means for the user to receive the notification and check the details. This enables users to know the most appropriate subsidies and support programs according to their situation in a timely manner, allowing them to smoothly proceed with the application process.

[0480] "User" refers to any individual or legal entity that uses the System.

[0481] "Profile information" refers to basic information about a user, such as the user's family composition, area of ​​residence, occupation, hobbies, and living situation.

[0482] "Daily activities" refers to actions and records taken in daily life, such as a user's diary, notes, schedule, etc.

[0483] "Server" refers to a computer system that stores and analyzes information sent by users.

[0484] "Generative AI model" refers to an artificial intelligence model used to estimate optimal subsidies and support programs based on user information.

[0485] A "prompt sentence" is a sentence input to a generative AI model, and refers to an instruction sentence that estimates subsidies and support systems based on the user's situation and needs.

[0486] "Subsidies and support systems" refer to financial support and services provided by governments, local governments, companies, etc., and various programs available to users.

[0487] A "notification" is a message sent from the server to a user's device that contains information about unapplied subsidies or support programs.

[0488] This invention is a system that uses a generative AI model to estimate applicable subsidies and support programs based on a user's profile information and daily activities, and notifies the user of unapplied subsidies and support programs. Specific embodiments of this system are described below.

[0489] First, the user installs the application. The application must be downloaded and installed on a device such as a smartphone or PC. When the application is launched, the user is prompted to enter profile information such as family composition, area of ​​residence, occupation, hobbies, and living situation. The device then sends this information to the server, where it is stored in a database.

[0490] Next, the user enters their daily activities, such as their diary, notes, and schedule, into the application. This data is also sent by the device to the server and stored in a database on the server. Furthermore, the application also includes a function to automatically collect daily activity data by linking with daily emails, social media posts, calendar apps, etc.

[0491] The server extracts the saved profile information and daily activity data as the analysis target and runs a generative AI model. The server then generates prompt sentences and inputs them into the generative AI model to identify the most appropriate subsidies and support programs. The generative AI model uses advanced natural language processing technologies such as GPT-4 and BERT.

[0492] Below is an example of a prompt sentence.

[0493] Example prompt sentence:

[0494] User Information:

[0495] Family: 2 children

[0496] Living area: Tokyo

[0497] Occupation: Housewife

[0498] Diary entry:

[0499] The child's nursery school has been decided

[0500] Cooking meals every day is hard

[0501] Please suggest the subsidies and support systems that best suit your users.

[0502] The server uses the generative AI model to analyze and estimate applicable subsidies and support programs. It then filters out unapplied subsidies and support programs from the estimated results and generates notification information. The generated notification information is sent to the device, and the user receives the notification.

[0503] Users can check notifications on their devices and view detailed information within the application. After carefully examining the details of the subsidy or support program notified to them and preparing the necessary documents, they can actually apply. For example, this could involve downloading an application form online, entering the necessary information, and then submitting it or sending it by mail.

[0504] This system allows users to instantly understand the most suitable subsidies and support programs for their own circumstances, allowing them to smoothly proceed with the application process. It also increases the utilization rate of government support.

[0505] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0506] Step 1: Register your profile information

[0507] First, the user installs the application. Once the installation is complete, the user launches the application and enters profile information such as family composition, area of ​​residence, occupation, hobbies, and living situation. This information is temporarily stored on the device. The device then encrypts this data and sends it to the server via a secure communication protocol (e.g., HTTPS). The server then stores the received data in a database.

[0508] Input: Profile information entered by the user

[0509] Output: Encrypted profile information is sent to the server and stored in a database

[0510] Step 2: Record your daily activities

[0511] Users enter their daily diary entries, memos, schedules, etc. into the application. It is also possible to automatically collect daily activity data by linking with email, social media, and calendar apps. The device collects and organizes this data, re-encrypts it, and sends it to the server, which then stores it in a database.

[0512] Input: Daily activity data entered by the user and automatically collected data

[0513] Output: Encrypted daily activity data is sent to a server and stored in a database.

[0514] Step 3: Analyze the data

[0515] The server periodically extracts profile information and daily activity data from the database. It generates prompts based on the extracted data for a generative AI model (e.g., GPT-4). The generated prompts are then input into the generative AI model to analyze and predict applicable subsidies and support programs.

[0516] Input: Saved profile information and daily activity data

[0517] Output: Applicable subsidies and support programs estimated by the generative AI model

[0518] Step 4: Identify unapplied subsidies and support programs from the estimation results

[0519] The server uses the inference results from the generative AI model to perform a filtering process to identify subsidies and support programs that the user has not yet applied for, excluding subsidies and support programs that have already been applied for.

[0520] Input: Estimated results of subsidies and support programs generated by a generative AI model

[0521] Output: Filtered unclaimed grants and support programs

[0522] Step 5: Generate and send notifications

[0523] The server generates notification information based on the filtered list of unapplied subsidies and support programs. This notification information is then encrypted again and sent to the device. The device analyzes the received notification and displays the notification message as a pop-up or in-app notification.

[0524] Input: Filtered unclaimed grants and assistance programs

[0525] Output: A notification message to the user

[0526] Step 6: Check and apply for subsidies and support programs

[0527] The user checks the notification on their device and views detailed information within the application. Based on the notification, they can prepare the necessary documents, download the application form online, enter the necessary information, and then submit it or send it by mail.

[0528] Input: Notification message displayed on the terminal

[0529] Output: Completion of grant and support application process

[0530] In this way, users can learn about the most appropriate subsidies and support systems for their own circumstances and smoothly proceed with the necessary procedures.

[0531] (Application example 1)

[0532] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0533] Currently, many owners and users of autonomous vehicles must search for information on applicable subsidies and support programs themselves, which is time-consuming and laborious, resulting in a problem of reduced efficiency in utilizing government support. Furthermore, information on subsidies and support programs is scattered, making it difficult for users to obtain the necessary information in a timely manner. Therefore, the present invention aims to solve these problems by providing a system that automatically suggests optimal subsidies and support programs to owners and users of autonomous vehicles and supports their applications.

[0534] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0535] In this invention, the server includes means for inputting and transmitting user profile information and storing it on the server, means for recording and transmitting the user's daily activities and storing them on the server, means for the server to estimate applicable subsidies and support programs using a generation AI based on the stored information, means for the server to identify unapplied subsidies and support programs from the estimation results and notify the user's terminal, means for the user to receive the notification and check the details, means for inputting and transmitting profile information of the vehicle owner or user via a smartphone and storing it on the server, means for recording and transmitting daily operation data of the autonomous vehicle and storing it on the server, and means for receiving notifications using a smartphone and checking and applying for autonomous vehicle subsidies and support programs. This enables owners and users of autonomous vehicles to be aware of applicable subsidies and support programs in a timely manner and to quickly apply for them.

[0536] "User" means any individual or entity that uses the System.

[0537] "Profile information" refers to basic information about a user, such as family composition, area of ​​residence, and occupation.

[0538] "Daily activities" refers to the actions and content of the user's daily activities, including, for example, diaries, notes, schedules, etc.

[0539] "Server" refers to a computer system that receives, stores, and analyzes data sent by users.

[0540] "Generative AI" refers to artificial intelligence algorithms that use machine learning to analyze data and predict applicable subsidies and support programs.

[0541] "Subsidies and assistance programs" means financial assistance or technical support provided by governments or public institutions to individuals or entities that meet certain conditions.

[0542] "Notification" refers to information that the server sends to the user's device based on the estimated results, and serves to inform the user of unapplied subsidies and support programs.

[0543] "Device" refers to an electronic device (smartphone, tablet, etc.) used by a user that has the function of receiving and displaying notifications from the server.

[0544] An "autonomous vehicle" refers to a vehicle that can drive autonomously using artificial intelligence and related technologies.

[0545] "Operation data" refers to information such as mileage, route, fuel consumption, and usage time accumulated daily by autonomous vehicles.

[0546] This invention is a system for helping owners or users of autonomous vehicles easily understand and quickly apply for applicable subsidies and support programs. This system includes the following elements, which work in conjunction with each other:

[0547] Program processing overview

[0548] 1. Server:

[0549] Storing profile information: Receives and stores in a database profile information about the owner or user of an autonomous vehicle (e.g., vehicle model, purchase date, purpose of use, area of ​​residence, etc.) entered by the user using their smartphone.

[0550] Storage of operation data: Daily operation data of the autonomous vehicle (e.g., mileage, route, fuel consumption, usage time, etc.) is received from the smartphone and stored in a database.

[0551] Analysis and prediction using generative AI: Generative AI is run based on stored profile information and driving data to predict applicable subsidies and support programs.

[0552] Generate and send notifications: Identify unapplied subsidies and support programs from the estimation results, generate corresponding notification information, and send it to the user's device.

[0553] 2. Device (smartphone):

[0554] Entering and sending profile information: The profile information entered by the user on their smartphone is sent to the server.

[0555] Collection and transmission of operation data: Daily operation data is collected from the autonomous vehicle and transmitted to the server.

[0556] Receive and display notifications: Receive notifications sent from the server and display them to the user.

[0557] View details and apply: Users can review notifications, view details about the grants and support programs they need, and apply.

[0558] 3. Specific hardware and software:

[0559] Hardware:

[0560] Smartphone (Android or iOS)

[0561] Autonomous vehicle on-board systems

[0562] software:

[0563] Smartphone application

[0564] Server system (database, generative AI engine)

[0565] Cloud services (AWS, Google Cloud)

[0566] Specific examples

[0567] For example, a user installs a smartphone application called "Smart Car Assistance Assistant" and enters their profile information as the owner of an autonomous vehicle (e.g., model: "sedan," purchase date: "January 2022," purpose of use: "commuting," and area of ​​residence: "Tokyo"). Daily driving data (e.g., mileage: 50 km, fuel economy: 12 km / L, usage time: 1 hour, route: "point A to point B") is then sent from the autonomous vehicle to the smartphone. The generation AI then analyzes the data on the server and predicts which subsidies the user is eligible for (e.g., Green Slow Vance subsidies, smart city support programs). Based on the prediction results, any unapplied subsidies are identified, which the user can check on their smartphone and proceed with the application process.

[0568] Example prompts for generative AI models

[0569] The file format is text and looks like this:

[0570] The user's profile information is as follows:

[0571] Car type: Sedan

[0572] Purchase date: 2022-01-01

[0573] Purpose of use: Commuting

[0574] Living area: Tokyo

[0575] Additionally, the daily operating data is as follows:

[0576] Mileage: 50 km

[0577] Fuel economy: 12 km / L

[0578] Usage time: 1 hour

[0579] Route: Point A to Point B

[0580] Based on the above information, estimate which subsidies and support programs are applicable to you.

[0581] In this way, the entire system works together, making it easier for owners and users of autonomous vehicles to find and quickly apply for appropriate subsidies and support programs.

[0582] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0583] Step 1:

[0584] The user uses their smartphone to enter profile information (e.g., car model, purchase date, purpose of use, area of ​​residence, etc.) and sends that information to the server, which receives the entered information and stores it in a database.

[0585] Input: User profile information

[0586] Output: Profile information stored on the server

[0587] Operation: Data entered into the smartphone application is sent to the server as an HTTP request, and then saved in a database on the server.

[0588] Step 2:

[0589] The terminal acquires the daily driving data of the autonomous vehicle (e.g., mileage, driving route, fuel consumption, usage time, etc.) from the in-vehicle system and transmits the data to a server, where it is stored in a database.

[0590] Input: Autonomous vehicle operation data

[0591] Output: Operation data stored on the server

[0592] How it works: Data is transferred from the in-car system to a smartphone via Bluetooth or Wi-Fi, and then sent from the smartphone to a server as an HTTP request.

[0593] Step 3:

[0594] The server extracts the saved profile information and driving data and analyzes it using the AI ​​generation system. As a result of the analysis, applicable subsidies and support systems are estimated.

[0595] Input: Profile information, operation data

[0596] Output: List of estimated subsidies and support programs

[0597] How it works: Profile information and trip data are retrieved from a database and fed into a generative AI model, which analyzes the data based on prompts and predicts applicable subsidies and assistance programs.

[0598] Step 4:

[0599] The server identifies unapplied subsidies and support programs from the estimation results, generates notification information, and sends it to the user's device.

[0600] Input: List of estimated grants and support programs

[0601] Output: Notification information sent to the user's terminal

[0602] How it works: Compares the prediction results, filters and identifies unapplied subsidies and support programs, then generates notification content and sends a push notification or email to the user's device.

[0603] Step 5:

[0604] The device receives the notification sent from the server and displays it to the user. The user checks the notification and views detailed information about the subsidies and support programs they need.

[0605] Input: Notification information to the user device

[0606] Output: Display a notification to the user

[0607] How it works: The smartphone application receives a notification from the server and displays it to the user within the app. The user can then check the details and take the necessary steps within the app.

[0608] Step 6:

[0609] The user reviews the details of the subsidy or support system that has been notified to them, prepares the necessary documents, and completes the application process.

[0610] Input: Details of the grant or support program notified

[0611] Output: Grant and support application

[0612] How it works: Based on the details of grants and support programs that users view within the app, they can prepare the necessary documents and complete the application process online or offline.

[0613] In this way, each step works in tandem, enabling owners and users of autonomous vehicles to easily find and quickly apply for appropriate subsidies and support programs.

[0614] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0615] This invention is a system that uses a generative AI and an emotion engine to estimate applicable subsidies and support programs based on a user's profile information and daily activities, and notifies the user of unapplied subsidies and support programs. Specific embodiments of this system are described below.

[0616] Registering profile information

[0617] First, the user installs the application, then enters profile information such as family composition, area of ​​residence, occupation, hobbies, and living situation. The entered information is sent by the device to the server, which then stores it in a database.

[0618] Record your daily activities

[0619] Next, the user enters their daily activities, such as daily diary entries, notes, schedules, etc. into the application, and these records are also sent by the device to the server, which stores them in a database.

[0620] Analysis by emotion engine

[0621] The server recognizes the user's emotions from daily records using an emotion engine, which analyzes the contents of diary entries and memos to extract positive and negative emotions.

[0622] Analysis and estimation by generative AI

[0623] The server extracts data to be analyzed based on the stored profile information and the emotional data recognized by the emotion engine. It then runs a generative AI to predict applicable subsidies and support programs. The generative AI takes into account the user's specific situation and needs as well as the emotional data to identify the most suitable subsidies and support programs.

[0624] Identifying and notifying unapplied subsidies and support programs

[0625] Once the analysis is complete, the server filters out unapplied subsidies and support programs from the estimated results. It then generates notification information and sends it to the device. The device receives the notification and informs the user that there are unapplied subsidies and support programs.

[0626] Check and apply for subsidies and support programs

[0627] The user checks the notification on their device and views detailed information within the application. They then carefully review the details of the subsidy or support program, prepare the necessary documents, and begin the application process.

[0628] Specific examples

[0629] Example 1: A housewife raising children

[0630] The user installs the application and enters information such as "Family composition: 2 children," "Area of ​​residence: Tokyo," and "Occupation: Housewife." The device sends this to the server, which saves it. The user records entries in the diary such as "My child's nursery school has been decided" and "Making meals every day is hard," which the device also sends to the server and saves. The server uses an emotion engine to analyze the diary content and extract emotional data. The generation AI performs analysis based on this data and estimates "childcare support subsidies" and "work-saving support systems." From this, it identifies unapplied "childcare cost subsidies" and sends a notification to Person A via the device. Person A checks the details within the app and applies for the subsidy.

[0631] Example 2: Entrepreneur B starting a new business

[0632] The user installs the application and enters information such as "business scale: small," "area of ​​residence: Osaka Prefecture," and "industry: IT services." The device sends this to the server, which saves it. Notes include content such as "starting a new project" and "fundraising is an issue," which the device also sends to the server and saves. The server uses an emotion engine to analyze the content of the notes and extracts emotional data. The generation AI performs analysis based on this data and estimates "new business support subsidies" and "startup support programs," among other things. From these, it identifies an "entrepreneur support subsidy" that has not yet been applied for, and sends a notification to Person B via the device. Person B checks the details within the app and applies for the subsidy.

[0633] In this way, by combining an emotion engine that also analyzes the user's emotions, it is possible to propose more accurate and applicable subsidies and support programs. Users can receive support information tailored to their individual circumstances and emotions, further increasing the utilization rate of government support.

[0634] The processing flow will be explained below.

[0635] Step 1:

[0636] The user installs the application and enters profile information such as family composition, area of ​​residence, occupation, hobbies, and living situation.

[0637] Step 2:

[0638] The device transmits the entered profile information to the server.

[0639] Step 3:

[0640] The server stores the received profile information in a database.

[0641] Step 4:

[0642] A user enters daily activities such as diary entries, notes, and schedules into an application.

[0643] Step 5:

[0644] The device sends these daily records to a server.

[0645] Step 6:

[0646] The server stores the received daily records in a database.

[0647] Step 7:

[0648] The server uses an emotion engine to recognize the user's emotions from daily records. The emotion engine analyzes the contents of the diary and memos to extract positive and negative emotions.

[0649] Step 8:

[0650] The server extracts data to be analyzed based on the stored profile information and emotion data recognized by the emotion engine.

[0651] Step 9:

[0652] The server inputs the data to be analyzed into the AI ​​generator, which then runs the AI ​​to estimate applicable subsidies and support programs. The AI ​​then takes into account profile information and emotion data to identify the most suitable subsidies and support programs.

[0653] Step 10:

[0654] The generation AI outputs the analysis results to the server, which then filters out unapplied subsidies and support programs from the estimated results.

[0655] Step 11:

[0656] The server generates information about subsidies and support systems to be notified to users, and formats the notification information.

[0657] Step 12:

[0658] The server transmits the generated notification information to the terminal.

[0659] Step 13:

[0660] The notification information received by the terminal is displayed to the user.

[0661] Step 14:

[0662] The user confirms the notification and views details about the grant or assistance program within the application.

[0663] Step 15:

[0664] The user carefully reviews the details of the subsidy or support system that has been notified to them, prepares the necessary documents, etc., and completes the application process.

[0665] Specific examples

[0666] Example 1: A housewife raising children

[0667] Step 1: The user (Ms. A) installs the application and enters information such as "Family composition: 2 children," "Area of ​​residence: Tokyo," and "Occupation: Housewife."

[0668] Step 2: The device sends the profile information to the server, which stores it.

[0669] Steps 4-6: Person A records in his / her diary, "My child's nursery school has been decided" and "Making meals every day is hard," and the device sends this to the server and stores it.

[0670] Step 7: The server uses an emotion engine to analyze the diary content and extract emotion data (e.g., "Positive: 50%, Negative: 50%).

[0671] Steps 8-10: The server uses the AI ​​to analyze the profile and emotional data, and estimates "childcare support subsidies" and "work-shortening support systems."

[0672] Steps 10-12: The server identifies any unapplied "childcare expense subsidies" from the estimation results, generates notification information, and sends it to the terminal.

[0673] Step 13: The device displays a notification to Person A, who then checks the details.

[0674] Steps 14-15: Person A applies for a subsidy.

[0675] Example 2: Entrepreneur B starting a new business

[0676] Step 1: The user (Mr. B) installs the application and enters information such as "Business size: small," "Area of ​​residence: Osaka Prefecture," and "Industry: IT services."

[0677] Step 2: The device sends the profile information to the server, which stores it.

[0678] Steps 4-6: Person B records in his / her notes "Starting a new project" and "Funding is an issue," and the device sends this to the server and saves it.

[0679] Step 7: The server uses the emotion engine to analyze the content of the note and extract emotion data (e.g., "Positive: 70%, Negative: 30%).

[0680] Steps 8-10: The server uses the generative AI to analyze the profile and emotion data and estimates "new business support subsidies" and "startup support programs," etc.

[0681] Steps 10-12: The server identifies unapplied "Entrepreneur Support Subsidies" from the estimation results, generates notification information, and sends it to the terminal.

[0682] Step 13: The device displays a notification to Person B, who checks the details.

[0683] Steps 14-15: Person B applies for the subsidy.

[0684] By combining this system with an emotion engine that also analyzes the user's emotions, it is possible to provide support information optimized for the user's situation and emotions, thereby increasing the utilization rate of government support.

[0685] Example 2

[0686] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0687] In modern society, it is extremely difficult for users to find and appropriately apply for support programs and subsidies that may apply to them. In particular, there is a need for a method to efficiently identify and notify optimal subsidies and support programs based on diverse profile information and daily activity records. Conventional systems recommend support programs without considering the user's emotional state, making it difficult to suggest appropriate support programs, which results in a low utilization rate of support programs.

[0688] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for inputting and transmitting the user's profile information and saving it on the server, means for recording and transmitting the user's daily activities and saving it on the server, emotion analysis means for the server to analyze the transmitted information on daily activities, means for the server to estimate applicable support systems using a generation AI based on the stored profile information and emotion data, means for the server to identify unapplied support systems from the estimation results and notify the user's terminal, and means for the user to receive the notification and check the details. This makes it possible to efficiently identify and notify an appropriate support system according to the user's emotional state.

[0689] 1. "User" refers to a person who uses the system and who enters their personal profile information and daily activities.

[0690] 2. "Profile information" refers to personal information such as the user's family composition, area of ​​residence, occupation, hobbies, and living situation.

[0691] 3. "Daily Activities" refers to the user's diary, notes, schedules, and other records of daily activities and events.

[0692] 4. "Device" refers to the electronic device used by a User to enter and transmit profile information and daily activities to the Server.

[0693] 5. "Server" refers to the computer system that receives, stores, and analyzes profile information and daily activity data.

[0694] 6. "Emotion analysis means" refers to the means by which the server analyzes information on daily activities and extracts user emotion data.

[0695] 7. “Generative AI” refers to an artificial intelligence system that predicts applicable assistance programs based on a user’s profile information and emotional data.

[0696] 8. “Estimation Method” refers to a method for using Generative AI to estimate the support system applicable to a user.

[0697] 9. "Notification means" refers to the means by which the server identifies unapplied support programs from the estimation results and notifies the user's device.

[0698] 10. "Means for checking details" refers to the means by which a user receives notifications on their device and checks detailed information about the support program.

[0699] 11. "Support Systems" refers to subsidies, grants, support programs, etc. available to Users.

[0700] This invention is a system that uses generative AI and an emotion engine to estimate applicable support systems based on a user's profile information and daily activities, and notifies the user of support systems for which they have not yet applied.

[0701] Registering profile information

[0702] The user first installs the application. Then, they enter profile information such as family composition, area of ​​residence, occupation, hobbies, and living situation. The entered information is sent by the device to the server, which then stores it in a database. The device used for this could be a smartphone, tablet, or PC.

[0703] Record your daily activities

[0704] Users input their daily activities such as daily diary entries, notes, schedules, etc. into the application, and these records are also sent by the device to the server, which stores them in a database.

[0705] Analysis by emotion engine

[0706] The server inputs daily records into an emotion engine to recognize the user's emotions. The emotion engine uses NLP (natural language processing) technology to analyze the contents of the diary and memos and extract positive and negative emotions.

[0707] For example, from a note such as "I was very tired today, but it was fun playing with my kids," the emotion engine extracts the emotional data of "tired" and "fun."

[0708] Analysis and estimation by generative AI

[0709] The server extracts data to be analyzed based on the stored profile information and emotion data, then runs a generative AI to predict applicable subsidies and support programs. The generative AI uses models such as GPT-3 to identify the most suitable support program, taking into account the user's specific situation, needs, and emotion data.

[0710] As a concrete example, the following prompt sentence is input to the generation AI:

[0711] The user enters information such as "Family composition: 3 people," "Area of ​​residence: Kanagawa Prefecture," "Occupation: Company employee," "Diary content: 'My daily commute is difficult,'" and "Hobby: Cycling," and the service suggests support systems such as "Childcare support subsidies" and "Family travel support systems."

[0712] Identifying and notifying unapplied subsidies and support programs

[0713] Once the analysis is complete, the server filters out unapplied subsidies and support programs from the estimated results, identifies those that have not been applied for, and generates notification information to send to the device.

[0714] As a specific operation, for example, a notification stating "You have unapplied childcare subsidies" is generated and sent to the user's device.

[0715] Check and apply for subsidies and support programs

[0716] The user checks the notification on their device and views detailed information within the application. They then carefully review the details of the subsidy or support program, prepare the necessary documents, and begin the application process.

[0717] Specifically, the user clicks on "Childcare Expense Subsidy" in the app to view detailed information, checks the list of required application documents, prepares them, and fills out the actual application form.

[0718] This system allows users to efficiently obtain information on subsidies and support programs that suit their own circumstances and feelings, which is expected to increase the utilization rate of applicable support programs and enrich users' daily lives.

[0719] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0720] Step 1: Register your profile information

[0721] Users install the application and enter profile information such as family composition, area of ​​residence, occupation, hobbies, and living situation. The entered information is sent to the server by the device. The server receives the profile information and stores it in a database. Accurate storage of this data makes it possible to estimate support systems that are appropriate for the user's situation.

[0722] Input: User profile information

[0723] Output: Profile information stored in a database

[0724] Step 2: Record your daily activities

[0725] Users enter their daily activities, such as daily diaries, notes, and schedules, into the application. These records are also sent to the server by the device. The server receives the sent information on daily activities and stores it in a database. This allows detailed data on the user's daily life to be collected.

[0726] Input: User's daily activity information

[0727] Output: Daily activity information stored in a database

[0728] Step 3: Analysis by Emotion Engine

[0729] The server inputs information about daily activities into the emotion engine to recognize the user's emotions. The emotion engine uses NLP (natural language processing) technology to analyze the contents of the diary and memos and extract positive and negative emotions. For example, it can extract "negative emotions" from a memo such as "I'm very tired today."

[0730] Input: Daily activity information

[0731] Output: Extracted emotion data

[0732] Step 4: Analysis and inference by generative AI

[0733] The server extracts data to be analyzed based on the stored profile information and emotional data. It then uses a generative AI to predict applicable subsidies and support programs. Specifically, the AI ​​inputs prompts and identifies the most appropriate support program based on the user's specific situation, needs, and emotional data.

[0734] For example, you could input the following prompt into the generator AI:

[0735] The user enters information such as "Family composition: 3 people," "Area of ​​residence: Kanagawa Prefecture," "Occupation: Company employee," "Diary content: 'My daily commute is difficult,'" and "Hobby: Cycling," and the service suggests support systems such as "Childcare support subsidies" and "Family travel support systems."

[0736] Input: Profile information and emotional data

[0737] Output: List of estimated support systems

[0738] Step 5: Identify and notify unclaimed grants and support programs

[0739] Once the analysis is complete, the server filters out unapplied subsidies and support programs from the estimated results. It identifies those that have not been applied for, generates notification information, and sends it to the device. Specifically, it generates a notification saying, "You have unapplied childcare subsidies," and sends it to the user's device.

[0740] Input: List of estimated support systems

[0741] Output: Notification information

[0742] Step 6: Check and apply for subsidies and support programs

[0743] The user checks the notification on their device and views detailed information within the application. The user then carefully reviews the details of the subsidy or support system notified to them, prepares the necessary documents, and actually applies. For example, the user clicks on "Childcare Expense Subsidy" in the app, views detailed information, and checks and prepares the list of necessary application documents.

[0744] Input: Notification information

[0745] Output: Application procedure completed

[0746] In this way, each processing step works in tandem, allowing users to efficiently find and apply for subsidies and support programs that suit their own situation and feelings. This system is expected to increase the utilization rate of applicable support programs and enrich users' daily lives.

[0747] (Application example 2)

[0748] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0749] Conventional systems for providing information on subsidies and support programs have had the problem of being unable to provide appropriate support information because they are unable to fully consider the individual circumstances and needs of users. Furthermore, the information on subsidies and support programs provided was static and did not reflect the user's daily activities or emotions, making it difficult to provide sufficient convenience. Furthermore, product recommendations on online shopping sites lacked personalized suggestions based on individual users' emotions and profile information.

[0750] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0751] In this invention, the server includes means for inputting and transmitting a user's profile information and storing it on the server, means for recording and transmitting the user's daily activities and storing them on the server, means for the server to extract the user's emotional data using an emotion engine based on the stored information, means for the server to estimate applicable subsidies and support programs and optimal products and coupons using generative AI based on the emotional data and profile information, means for the server to identify unapplied subsidies and support programs and unused coupons from the estimation results and notify the user's device, and means for the user to receive the notification and check the details. This makes it possible to provide personalized support information and product recommendations according to the user's individual situation and emotions.

[0752] "User profile information" refers to personal data of a user, including information such as location, hobbies, occupation, family structure, and membership status.

[0753] "Daily activities" refers to a record of a user's daily actions and events, including purchase history, reviews, comments, etc.

[0754] A "server" is a computer system that stores, processes, and analyzes data.

[0755] An "emotion engine" is a software system that analyzes text data entered by users, such as diaries, comments, reviews, and notes, and extracts positive or negative emotions.

[0756] "Generative AI" is an artificial intelligence system that predicts applicable subsidies, support programs, products, and coupons based on collected data.

[0757] "Using generative AI to estimate applicable subsidies and support programs, as well as optimal products and coupons" means using collected data and artificial intelligence technology to identify the subsidies, support programs, products, and coupons that are most suitable for users.

[0758] "Unapplied subsidies and support programs, and unused coupons" refers to subsidies and support programs for which the user has not yet applied, and coupons that have not yet been used.

[0759] A "notification" is a message or alert that is displayed on a device to inform the user of information.

[0760] A "terminal" is a device that is directly operated by a user, such as a smartphone, tablet, or PC.

[0761] "Based on profile information and emotional data" refers to making inferences using basic information about each user and extracted emotional data.

[0762] The present invention is a system for allowing a user to receive personalized product and coupon information from an online shopping site. Specific embodiments of the system will be described below.

[0763] First, the user installs an application on their smartphone, through which they enter their profile information, such as their region, hobbies, occupation, family composition, and membership status. The entered information is sent by the smartphone to a server, which then stores it in a database.

[0764] Next, users enter their daily activities into the application, such as their daily purchase history, reviews, comments, etc. These records are also sent by the device to the server, which stores them in a database.

[0765] The server extracts user emotion data using an emotion engine (e.g., IBM Watson Natural Language Understanding) based on the saved daily activity data. The emotion engine analyzes the content of reviews and comments to extract positive and negative emotions.

[0766] Next, the server uses generative AI (e.g., OpenAI GPT-3) to predict the best products, coupons, subsidies, and support programs for the user based on the emotional data and profile information. The generative AI considers the user's specific situation and needs as well as the emotional data to identify the most suitable products, coupons, subsidies, and support programs.

[0767] Once the analysis is complete, the server filters out unused coupons and unclaimed subsidies and support programs from the estimated results. It then generates notification information and sends it to the device. The device receives the notification and informs the user of the existence of unused coupons and unclaimed subsidies and support programs.

[0768] Users can check the notification on their device and view detailed information within the app. They can then review the details of the coupons, subsidies, and support programs they have been notified about, purchase the products they need, or apply for subsidies.

[0769] Specific examples

[0770] Example 1: For students living in urban areas

[0771] For example, a student living in an urban area starts using the app and enters information such as "Area of ​​Residence: Urban," "Occupation: Student," and "Hobbies: Outdoors." This student often purchases outdoor equipment and enters comments such as "I enjoy camping outdoors" and "I need gear for the change of seasons" as part of his daily activity log. The emotion engine analyzes these comments, and generative AI predicts seasonal discount coupons and local outdoor support programs. A notification is sent, and the student checks the coupons in the app and purchases the products.

[0772] Prompt Sentence Examples

[0773] If a student who frequently purchases outdoor equipment leaves a positive comment as a result of the sentiment engine, we estimate applicable discount coupons and outdoor support programs.

[0774] In this way, a system that combines analysis using an emotion engine with generative AI allows users to receive support information and optimal products and coupons tailored to their individual situation and emotions, improving the user's shopping experience and the utilization rate of government support.

[0775] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0776] Step 1:

[0777] User enters and submits profile information

[0778] Users use their smartphones to enter profile information such as their region, hobbies, occupation, family structure, and membership status into the application. The entered information is sent to the server by the device. The entered data is the user's basic personal information, and after being sent to the server, it is stored in a database.

[0779] Step 2:

[0780] Users record and submit their daily activities

[0781] Users input their daily activities, such as their purchase history, reviews, and comments, into the application. These records are also sent by the device to the server, which then stores them in a database. The input data is the user's behavioral history and opinions, and is saved for future analysis.

[0782] Step 3:

[0783] The server extracts emotion data using an emotion engine.

[0784] The server extracts user emotion data using an emotion engine (e.g., IBM Watson Natural Language Understanding) based on the stored daily activity data. The emotion engine analyzes the content of reviews and comments to extract positive and negative emotions. The input data is daily activity data, and the extracted emotion data is generated by the emotion engine.

[0785] Step 4:

[0786] The server uses generated AI to estimate optimal products, coupons, subsidies, and support programs.

[0787] The server uses generative AI (e.g., OpenAI GPT-3) to estimate the best products, coupons, subsidies, and support programs for the user based on the emotional data and profile information. The generative AI considers the emotional data as well as the user's specific situation and needs to identify the most suitable products, coupons, subsidies, and support programs. The input data is the emotional data and profile information, and the output data is a list of estimated products, coupons, subsidies, and support programs.

[0788] Step 5:

[0789] The server identifies unused coupons, unapplied subsidies, and support programs from the estimation results.

[0790] The server uses the estimation results to filter out unused coupons, unapplied subsidies, and support programs. The goal is to extract only information that the user has not yet used. The input data is the estimation results, and the output data is a list of unused coupons, unapplied subsidies, and support programs.

[0791] Step 6:

[0792] The server generates notification information and sends it to the device.

[0793] The server generates notification information based on a list of unused coupons, unclaimed subsidies, and support programs, and sends it to the terminal. The notification contains information about new coupons, subsidies, and support programs available to the user. The input data is information about unused coupons and unclaimed support programs, and the output data is the notification information.

[0794] Step 7:

[0795] The device receives the notification and displays it to the user.

[0796] The device receives the notification information sent from the server and displays the notification to the user. The user checks the notification and views detailed information within the application. The input data is the notification information, and the output data is the notification message displayed on the device.

[0797] Step 8:

[0798] The user confirms the details and takes the necessary steps

[0799] The user checks the notification on their device and views detailed information within the application. They then carefully examine the details of the coupons, subsidies, and support programs they have been notified of, and purchase the products they need or apply for subsidies. The input data is detailed information, and the output data is the user's purchase history and application information.

[0800] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0801] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0802] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0803] [Third embodiment]

[0804] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0805] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0806] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0807] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0808] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0809] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0810] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0811] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0812] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0813] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0814] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0815] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0816] This invention is a system that uses a generative AI to estimate applicable subsidies and support programs based on a user's profile information and daily activities, and notifies the user of unapplied subsidies and support programs. Specific embodiments of this system are described below.

[0817] Registering profile information

[0818] First, the user installs the application, then enters profile information such as family composition, area of ​​residence, occupation, hobbies, and living situation. The entered information is sent by the device to the server, which then stores it in a database.

[0819] Record your daily activities

[0820] Next, the user enters their daily activities, such as daily diary entries, notes, schedules, etc. into the application, and these records are also sent by the device to the server, which stores them in a database.

[0821] Analysis and estimation by generative AI

[0822] The server extracts the stored profile information and daily activity data for analysis, then runs a generative AI to estimate applicable subsidies and support programs, using advanced analysis to identify the subsidies and support programs that best suit the user's specific circumstances and needs.

[0823] Identifying and notifying unapplied subsidies and support programs

[0824] Once the analysis is complete, the server filters out unapplied subsidies and support programs from the estimated results. It then generates notification information and sends it to the device. The device receives the notification and informs the user that there are unapplied subsidies and support programs.

[0825] Check and apply for subsidies and support programs

[0826] The user checks the notification on their device and views detailed information within the application. They then carefully review the details of the subsidy or support program, prepare the necessary documents, and begin the application process.

[0827] Specific examples

[0828] Example 1: A housewife raising children

[0829] The user installs the application and enters information such as "Family composition: 2 children," "Area of ​​residence: Tokyo," and "Occupation: Housewife." The device sends this to the server, which saves it. The user records information such as "My child's nursery school has been decided" and "Making meals every day is hard" in the diary, which the device also sends to the server and saves. The server uses generation AI to estimate "childcare support subsidies" and "work-saving support systems," and identifies unapplied "childcare cost subsidies." A notification is sent to Person A via the device, who checks the details within the app and applies for the subsidy.

[0830] Example 2: Entrepreneur B starting a new business

[0831] The user installs the application and enters information such as "Business size: small," "Area of ​​residence: Osaka Prefecture," and "Industry: IT services." The device sends this to the server, which saves it. Notes include information such as "Starting a new project" and "Fundraising is an issue," which the device also sends to the server and saves. The server uses generation AI to estimate "New business support subsidies" and "Startup support programs," and identifies unapplied "Entrepreneur support subsidies." A notification is sent to Person B via the device, who checks the details within the app and applies for the subsidy.

[0832] In this way, a system that automatically proposes and notifies users of the most appropriate subsidies and support programs based on their individual circumstances can increase the utilization rate of government support.

[0833] The processing flow will be explained below.

[0834] Step 1:

[0835] The user installs the application and enters profile information such as family composition, area of ​​residence, occupation, hobbies, and living situation.

[0836] Step 2:

[0837] The device transmits the entered profile information to the server.

[0838] Step 3:

[0839] The server stores the received profile information in a database.

[0840] Step 4:

[0841] A user enters daily activities such as diary entries, notes, and schedules into an application.

[0842] Step 5:

[0843] The device sends these daily records to a server.

[0844] Step 6:

[0845] The server stores the received daily records in a database.

[0846] Step 7:

[0847] The server extracts data to be analyzed based on the user's profile information and daily records.

[0848] Step 8:

[0849] The server inputs the data to be analyzed into the generation AI, which then runs the generation AI to estimate applicable subsidies and support systems.

[0850] Step 9:

[0851] The generation AI outputs the analysis results to a server and identifies the most appropriate subsidies and support systems.

[0852] Step 10:

[0853] The server filters out unapplied subsidies and support programs from the analysis results of the generated AI.

[0854] Step 11:

[0855] The server generates information about subsidies and support systems to be notified to users, and formats the notification information.

[0856] Step 12:

[0857] The server transmits the generated notification information to the terminal.

[0858] Step 13:

[0859] The notification information received by the terminal is displayed to the user.

[0860] Step 14:

[0861] The user confirms the notification and views details about the grant or assistance program within the application.

[0862] Step 15:

[0863] The user carefully reviews the details of the subsidy or support system that has been notified to them, prepares the necessary documents, etc., and completes the application process.

[0864] These are the specific processing steps of this system. This system allows users to easily find subsidies and support programs that they may have overlooked, eliminating the need to search for information themselves.

[0865] Example 1

[0866] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0867] In modern society, the inability of many users to properly utilize subsidies and support systems is a problem. In particular, it is difficult to gather the necessary information and make appropriate applications in the midst of busy daily lives. As a result, many people are unable to receive the support that is available to them. This invention aims to automatically suggest the most appropriate subsidies and support systems based on the user's situation and promote their use.

[0868] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0869] In this invention, the server includes means for inputting and transmitting a user's profile information and storing it on the server, means for recording and transmitting the user's daily activities and storing them on the server, means for the server to estimate applicable subsidies and support programs using a generative AI model based on the stored information, means for the server to generate prompt text and input it into the generative AI model to identify the most appropriate subsidy or support program, means for the server to identify unapplied subsidies and support programs from the estimation results and notify the user's device, and means for the user to receive the notification and check the details. This enables users to know the most appropriate subsidies and support programs according to their situation in a timely manner, allowing them to smoothly proceed with the application process.

[0870] "User" refers to any individual or legal entity that uses the System.

[0871] "Profile information" refers to basic information about a user, such as the user's family composition, area of ​​residence, occupation, hobbies, and living situation.

[0872] "Daily activities" refers to actions and records taken in daily life, such as a user's diary, notes, schedule, etc.

[0873] "Server" refers to a computer system that stores and analyzes information sent by users.

[0874] "Generative AI model" refers to an artificial intelligence model used to estimate optimal subsidies and support programs based on user information.

[0875] A "prompt sentence" is a sentence input to a generative AI model, and refers to an instruction sentence that estimates subsidies and support systems based on the user's situation and needs.

[0876] "Subsidies and support systems" refer to financial support and services provided by governments, local governments, companies, etc., and various programs available to users.

[0877] A "notification" is a message sent from the server to a user's device that contains information about unapplied subsidies or support programs.

[0878] This invention is a system that uses a generative AI model to estimate applicable subsidies and support programs based on a user's profile information and daily activities, and notifies the user of unapplied subsidies and support programs. Specific embodiments of this system are described below.

[0879] First, the user installs the application. The application must be downloaded and installed on a device such as a smartphone or PC. When the application is launched, the user is prompted to enter profile information such as family composition, area of ​​residence, occupation, hobbies, and living situation. The device then sends this information to the server, where it is stored in a database.

[0880] Next, the user enters their daily activities, such as their diary, notes, and schedule, into the application. This data is also sent by the device to the server and stored in a database on the server. Furthermore, the application also includes a function to automatically collect daily activity data by linking with daily emails, social media posts, calendar apps, etc.

[0881] The server extracts the saved profile information and daily activity data as the analysis target and runs a generative AI model. The server then generates prompt sentences and inputs them into the generative AI model to identify the most appropriate subsidies and support programs. The generative AI model uses advanced natural language processing technologies such as GPT-4 and BERT.

[0882] Below is an example of a prompt sentence.

[0883] Example prompt sentence:

[0884] User Information:

[0885] Family: 2 children

[0886] Living area: Tokyo

[0887] Occupation: Housewife

[0888] Diary entry:

[0889] The child's nursery school has been decided

[0890] Cooking meals every day is hard

[0891] Please suggest the subsidies and support systems that best suit your users.

[0892] The server uses the generative AI model to analyze and estimate applicable subsidies and support programs. It then filters out unapplied subsidies and support programs from the estimated results and generates notification information. The generated notification information is sent to the device, and the user receives the notification.

[0893] Users can check notifications on their devices and view detailed information within the application. After carefully examining the details of the subsidy or support program notified to them and preparing the necessary documents, they can actually apply. For example, this could involve downloading an application form online, entering the necessary information, and then submitting it or sending it by mail.

[0894] This system allows users to instantly understand the most suitable subsidies and support programs for their own circumstances, allowing them to smoothly proceed with the application process. It also increases the utilization rate of government support.

[0895] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0896] Step 1: Register your profile information

[0897] First, the user installs the application. Once the installation is complete, the user launches the application and enters profile information such as family composition, area of ​​residence, occupation, hobbies, and living situation. This information is temporarily stored on the device. The device then encrypts this data and sends it to the server via a secure communication protocol (e.g., HTTPS). The server then stores the received data in a database.

[0898] Input: Profile information entered by the user

[0899] Output: Encrypted profile information is sent to the server and stored in a database

[0900] Step 2: Record your daily activities

[0901] Users enter their daily diary entries, memos, schedules, etc. into the application. It is also possible to automatically collect daily activity data by linking with email, social media, and calendar apps. The device collects and organizes this data, re-encrypts it, and sends it to the server, which then stores it in a database.

[0902] Input: Daily activity data entered by the user and automatically collected data

[0903] Output: Encrypted daily activity data is sent to a server and stored in a database.

[0904] Step 3: Analyze the data

[0905] The server periodically extracts profile information and daily activity data from the database. It generates prompts based on the extracted data for a generative AI model (e.g., GPT-4). The generated prompts are then input into the generative AI model to analyze and predict applicable subsidies and support programs.

[0906] Input: Saved profile information and daily activity data

[0907] Output: Applicable subsidies and support programs estimated by the generative AI model

[0908] Step 4: Identify unapplied subsidies and support programs from the estimation results

[0909] The server uses the inference results from the generative AI model to perform a filtering process to identify subsidies and support programs that the user has not yet applied for, excluding subsidies and support programs that have already been applied for.

[0910] Input: Estimated results of subsidies and support programs generated by a generative AI model

[0911] Output: Filtered unclaimed grants and support programs

[0912] Step 5: Generate and send notifications

[0913] The server generates notification information based on the filtered list of unapplied subsidies and support programs. This notification information is then encrypted again and sent to the device. The device analyzes the received notification and displays the notification message as a pop-up or in-app notification.

[0914] Input: Filtered unclaimed grants and assistance programs

[0915] Output: A notification message to the user

[0916] Step 6: Check and apply for subsidies and support programs

[0917] The user checks the notification on their device and views detailed information within the application. Based on the notification, they can prepare the necessary documents, download the application form online, enter the necessary information, and then submit it or send it by mail.

[0918] Input: Notification message displayed on the terminal

[0919] Output: Completion of grant and support application process

[0920] In this way, users can learn about the most appropriate subsidies and support systems for their own circumstances and smoothly proceed with the necessary procedures.

[0921] (Application example 1)

[0922] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0923] Currently, many owners and users of autonomous vehicles must search for information on applicable subsidies and support programs themselves, which is time-consuming and laborious, resulting in a problem of reduced efficiency in utilizing government support. Furthermore, information on subsidies and support programs is scattered, making it difficult for users to obtain the necessary information in a timely manner. Therefore, the present invention aims to solve these problems by providing a system that automatically suggests optimal subsidies and support programs to owners and users of autonomous vehicles and supports their applications.

[0924] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0925] In this invention, the server includes means for inputting and transmitting user profile information and storing it on the server, means for recording and transmitting the user's daily activities and storing them on the server, means for the server to estimate applicable subsidies and support programs using a generation AI based on the stored information, means for the server to identify unapplied subsidies and support programs from the estimation results and notify the user's terminal, means for the user to receive the notification and check the details, means for inputting and transmitting profile information of the vehicle owner or user via a smartphone and storing it on the server, means for recording and transmitting daily operation data of the autonomous vehicle and storing it on the server, and means for receiving notifications using a smartphone and checking and applying for autonomous vehicle subsidies and support programs. This enables owners and users of autonomous vehicles to be aware of applicable subsidies and support programs in a timely manner and to quickly apply for them.

[0926] "User" means any individual or entity that uses the System.

[0927] "Profile information" refers to basic information about a user, such as family composition, area of ​​residence, and occupation.

[0928] "Daily activities" refers to the actions and content of the user's daily activities, including, for example, diaries, notes, schedules, etc.

[0929] "Server" refers to a computer system that receives, stores, and analyzes data sent by users.

[0930] "Generative AI" refers to artificial intelligence algorithms that use machine learning to analyze data and predict applicable subsidies and support programs.

[0931] "Subsidies and assistance programs" means financial assistance or technical support provided by governments or public institutions to individuals or entities that meet certain conditions.

[0932] "Notification" refers to information that the server sends to the user's device based on the estimated results, and serves to inform the user of unapplied subsidies and support programs.

[0933] "Device" refers to an electronic device (smartphone, tablet, etc.) used by a user that has the function of receiving and displaying notifications from the server.

[0934] An "autonomous vehicle" refers to a vehicle that can drive autonomously using artificial intelligence and related technologies.

[0935] "Operation data" refers to information such as mileage, route, fuel consumption, and usage time accumulated daily by autonomous vehicles.

[0936] This invention is a system for helping owners or users of autonomous vehicles easily understand and quickly apply for applicable subsidies and support programs. This system includes the following elements, which work in conjunction with each other:

[0937] Program processing overview

[0938] 1. Server:

[0939] Storing profile information: Receives and stores in a database profile information about the owner or user of an autonomous vehicle (e.g., vehicle model, purchase date, purpose of use, area of ​​residence, etc.) entered by the user using their smartphone.

[0940] Storage of operation data: Daily operation data of the autonomous vehicle (e.g., mileage, route, fuel consumption, usage time, etc.) is received from the smartphone and stored in a database.

[0941] Analysis and prediction using generative AI: Generative AI is run based on stored profile information and driving data to predict applicable subsidies and support programs.

[0942] Generate and send notifications: Identify unapplied subsidies and support programs from the estimation results, generate corresponding notification information, and send it to the user's device.

[0943] 2. Device (smartphone):

[0944] Entering and sending profile information: The profile information entered by the user on their smartphone is sent to the server.

[0945] Collection and transmission of operation data: Daily operation data is collected from the autonomous vehicle and transmitted to the server.

[0946] Receive and display notifications: Receive notifications sent from the server and display them to the user.

[0947] View details and apply: Users can review notifications, view details about the grants and support programs they need, and apply.

[0948] 3. Specific hardware and software:

[0949] Hardware:

[0950] Smartphone (Android or iOS)

[0951] Autonomous vehicle on-board systems

[0952] software:

[0953] Smartphone application

[0954] Server system (database, generative AI engine)

[0955] Cloud services (AWS, Google Cloud)

[0956] Specific examples

[0957] For example, a user installs a smartphone application called "Smart Car Assistance Assistant" and enters their profile information as the owner of an autonomous vehicle (e.g., model: "sedan," purchase date: "January 2022," purpose of use: "commuting," and area of ​​residence: "Tokyo"). Daily driving data (e.g., mileage: 50 km, fuel economy: 12 km / L, usage time: 1 hour, route: "point A to point B") is then sent from the autonomous vehicle to the smartphone. The generation AI then analyzes the data on the server and predicts which subsidies the user is eligible for (e.g., Green Slow Vance subsidies, smart city support programs). Based on the prediction results, any unapplied subsidies are identified, which the user can check on their smartphone and proceed with the application process.

[0958] Example prompts for generative AI models

[0959] The file format is text and looks like this:

[0960] The user's profile information is as follows:

[0961] Car type: Sedan

[0962] Purchase date: 2022-01-01

[0963] Purpose of use: Commuting

[0964] Living area: Tokyo

[0965] Additionally, the daily operating data is as follows:

[0966] Mileage: 50 km

[0967] Fuel economy: 12 km / L

[0968] Usage time: 1 hour

[0969] Route: Point A to Point B

[0970] Based on the above information, estimate which subsidies and support programs are applicable to you.

[0971] In this way, the entire system works together, making it easier for owners and users of autonomous vehicles to find and quickly apply for appropriate subsidies and support programs.

[0972] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0973] Step 1:

[0974] The user uses their smartphone to enter profile information (e.g., car model, purchase date, purpose of use, area of ​​residence, etc.) and sends that information to the server, which receives the entered information and stores it in a database.

[0975] Input: User profile information

[0976] Output: Profile information stored on the server

[0977] Operation: Data entered into the smartphone application is sent to the server as an HTTP request, and then saved in a database on the server.

[0978] Step 2:

[0979] The terminal acquires the daily driving data of the autonomous vehicle (e.g., mileage, driving route, fuel consumption, usage time, etc.) from the in-vehicle system and transmits the data to a server, where it is stored in a database.

[0980] Input: Autonomous vehicle operation data

[0981] Output: Operation data stored on the server

[0982] How it works: Data is transferred from the in-car system to a smartphone via Bluetooth or Wi-Fi, and then sent from the smartphone to a server as an HTTP request.

[0983] Step 3:

[0984] The server extracts the saved profile information and driving data and analyzes it using the AI ​​generation system. As a result of the analysis, applicable subsidies and support systems are estimated.

[0985] Input: Profile information, operation data

[0986] Output: List of estimated subsidies and support programs

[0987] How it works: Profile information and trip data are retrieved from a database and fed into a generative AI model, which analyzes the data based on prompts and predicts applicable subsidies and assistance programs.

[0988] Step 4:

[0989] The server identifies unapplied subsidies and support programs from the estimation results, generates notification information, and sends it to the user's device.

[0990] Input: List of estimated grants and support programs

[0991] Output: Notification information sent to the user's terminal

[0992] How it works: Compares the prediction results, filters and identifies unapplied subsidies and support programs, then generates notification content and sends a push notification or email to the user's device.

[0993] Step 5:

[0994] The device receives the notification sent from the server and displays it to the user. The user checks the notification and views detailed information about the subsidies and support programs they need.

[0995] Input: Notification information to the user device

[0996] Output: Display a notification to the user

[0997] How it works: The smartphone application receives a notification from the server and displays it to the user within the app. The user can then check the details and take the necessary steps within the app.

[0998] Step 6:

[0999] The user reviews the details of the subsidy or support system that has been notified to them, prepares the necessary documents, and completes the application process.

[1000] Input: Details of the grant or support program notified

[1001] Output: Grant and support application

[1002] How it works: Based on the details of grants and support programs that users view within the app, they can prepare the necessary documents and complete the application process online or offline.

[1003] In this way, each step works in tandem, enabling owners and users of autonomous vehicles to easily find and quickly apply for appropriate subsidies and support programs.

[1004] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1005] This invention is a system that uses a generative AI and an emotion engine to estimate applicable subsidies and support programs based on a user's profile information and daily activities, and notifies the user of unapplied subsidies and support programs. Specific embodiments of this system are described below.

[1006] Registering profile information

[1007] First, the user installs the application, then enters profile information such as family composition, area of ​​residence, occupation, hobbies, and living situation. The entered information is sent by the device to the server, which then stores it in a database.

[1008] Record your daily activities

[1009] Next, the user enters their daily activities, such as daily diary entries, notes, schedules, etc. into the application, and these records are also sent by the device to the server, which stores them in a database.

[1010] Analysis by emotion engine

[1011] The server recognizes the user's emotions from daily records using an emotion engine, which analyzes the contents of diary entries and memos to extract positive and negative emotions.

[1012] Analysis and estimation by generative AI

[1013] The server extracts data to be analyzed based on the stored profile information and the emotional data recognized by the emotion engine. It then runs a generative AI to predict applicable subsidies and support programs. The generative AI takes into account the user's specific situation and needs as well as the emotional data to identify the most suitable subsidies and support programs.

[1014] Identifying and notifying unapplied subsidies and support programs

[1015] Once the analysis is complete, the server filters out unapplied subsidies and support programs from the estimated results. It then generates notification information and sends it to the device. The device receives the notification and informs the user that there are unapplied subsidies and support programs.

[1016] Check and apply for subsidies and support programs

[1017] The user checks the notification on their device and views detailed information within the application. They then carefully review the details of the subsidy or support program, prepare the necessary documents, and begin the application process.

[1018] Specific examples

[1019] Example 1: A housewife raising children

[1020] The user installs the application and enters information such as "Family composition: 2 children," "Area of ​​residence: Tokyo," and "Occupation: Housewife." The device sends this to the server, which saves it. The user records entries in the diary such as "My child's nursery school has been decided" and "Making meals every day is hard," which the device also sends to the server and saves. The server uses an emotion engine to analyze the diary content and extract emotional data. The generation AI performs analysis based on this data and estimates "childcare support subsidies" and "work-saving support systems." From this, it identifies unapplied "childcare cost subsidies" and sends a notification to Person A via the device. Person A checks the details within the app and applies for the subsidy.

[1021] Example 2: Entrepreneur B starting a new business

[1022] The user installs the application and enters information such as "business scale: small," "area of ​​residence: Osaka Prefecture," and "industry: IT services." The device sends this to the server, which saves it. Notes include content such as "starting a new project" and "fundraising is an issue," which the device also sends to the server and saves. The server uses an emotion engine to analyze the content of the notes and extracts emotional data. The generation AI performs analysis based on this data and estimates "new business support subsidies" and "startup support programs," among other things. From these, it identifies an "entrepreneur support subsidy" that has not yet been applied for, and sends a notification to Person B via the device. Person B checks the details within the app and applies for the subsidy.

[1023] In this way, by combining an emotion engine that also analyzes the user's emotions, it is possible to propose more accurate and applicable subsidies and support programs. Users can receive support information tailored to their individual circumstances and emotions, further increasing the utilization rate of government support.

[1024] The processing flow will be explained below.

[1025] Step 1:

[1026] The user installs the application and enters profile information such as family composition, area of ​​residence, occupation, hobbies, and living situation.

[1027] Step 2:

[1028] The device transmits the entered profile information to the server.

[1029] Step 3:

[1030] The server stores the received profile information in a database.

[1031] Step 4:

[1032] A user enters daily activities such as diary entries, notes, and schedules into an application.

[1033] Step 5:

[1034] The device sends these daily records to a server.

[1035] Step 6:

[1036] The server stores the received daily records in a database.

[1037] Step 7:

[1038] The server uses an emotion engine to recognize the user's emotions from daily records. The emotion engine analyzes the contents of the diary and memos to extract positive and negative emotions.

[1039] Step 8:

[1040] The server extracts data to be analyzed based on the stored profile information and emotion data recognized by the emotion engine.

[1041] Step 9:

[1042] The server inputs the data to be analyzed into the AI ​​generator, which then runs the AI ​​to estimate applicable subsidies and support programs. The AI ​​then takes into account profile information and emotion data to identify the most suitable subsidies and support programs.

[1043] Step 10:

[1044] The generation AI outputs the analysis results to the server, which then filters out unapplied subsidies and support programs from the estimated results.

[1045] Step 11:

[1046] The server generates information about subsidies and support systems to be notified to users, and formats the notification information.

[1047] Step 12:

[1048] The server transmits the generated notification information to the terminal.

[1049] Step 13:

[1050] The notification information received by the terminal is displayed to the user.

[1051] Step 14:

[1052] The user confirms the notification and views details about the grant or assistance program within the application.

[1053] Step 15:

[1054] The user carefully reviews the details of the subsidy or support system that has been notified to them, prepares the necessary documents, etc., and completes the application process.

[1055] Specific examples

[1056] Example 1: A housewife raising children

[1057] Step 1: The user (Ms. A) installs the application and enters information such as "Family composition: 2 children," "Area of ​​residence: Tokyo," and "Occupation: Housewife."

[1058] Step 2: The device sends the profile information to the server, which stores it.

[1059] Steps 4-6: Person A records in his / her diary, "My child's nursery school has been decided" and "Making meals every day is hard," and the device sends this to the server and stores it.

[1060] Step 7: The server uses an emotion engine to analyze the diary content and extract emotion data (e.g., "Positive: 50%, Negative: 50%).

[1061] Steps 8-10: The server uses the AI ​​to analyze the profile and emotional data, and estimates "childcare support subsidies" and "work-shortening support systems."

[1062] Steps 10-12: The server identifies any unapplied "childcare expense subsidies" from the estimation results, generates notification information, and sends it to the terminal.

[1063] Step 13: The device displays a notification to Person A, who then checks the details.

[1064] Steps 14-15: Person A applies for a subsidy.

[1065] Example 2: Entrepreneur B starting a new business

[1066] Step 1: The user (Mr. B) installs the application and enters information such as "Business size: small," "Area of ​​residence: Osaka Prefecture," and "Industry: IT services."

[1067] Step 2: The device sends the profile information to the server, which stores it.

[1068] Steps 4-6: Person B records in his / her notes "Starting a new project" and "Funding is an issue," and the device sends this to the server and saves it.

[1069] Step 7: The server uses the emotion engine to analyze the content of the note and extract emotion data (e.g., "Positive: 70%, Negative: 30%).

[1070] Steps 8-10: The server uses the generative AI to analyze the profile and emotion data and estimates "new business support subsidies" and "startup support programs," etc.

[1071] Steps 10-12: The server identifies unapplied "Entrepreneur Support Subsidies" from the estimation results, generates notification information, and sends it to the terminal.

[1072] Step 13: The device displays a notification to Person B, who checks the details.

[1073] Steps 14-15: Person B applies for the subsidy.

[1074] By combining this system with an emotion engine that also analyzes the user's emotions, it is possible to provide support information optimized for the user's situation and emotions, thereby increasing the utilization rate of government support.

[1075] Example 2

[1076] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1077] In modern society, it is extremely difficult for users to find and appropriately apply for support programs and subsidies that may apply to them. In particular, there is a need for a method to efficiently identify and notify optimal subsidies and support programs based on diverse profile information and daily activity records. Conventional systems recommend support programs without considering the user's emotional state, making it difficult to suggest appropriate support programs, which results in a low utilization rate of support programs.

[1078] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for inputting and transmitting the user's profile information and saving it on the server, means for recording and transmitting the user's daily activities and saving it on the server, emotion analysis means for the server to analyze the transmitted information on daily activities, means for the server to estimate applicable support systems using a generation AI based on the stored profile information and emotion data, means for the server to identify unapplied support systems from the estimation results and notify the user's terminal, and means for the user to receive the notification and check the details. This makes it possible to efficiently identify and notify an appropriate support system according to the user's emotional state.

[1079] 1. "User" refers to a person who uses the system and who enters their personal profile information and daily activities.

[1080] 2. "Profile information" refers to personal information such as the user's family composition, area of ​​residence, occupation, hobbies, and living situation.

[1081] 3. "Daily Activities" refers to the user's diary, notes, schedules, and other records of daily activities and events.

[1082] 4. "Device" refers to the electronic device used by a User to enter and transmit profile information and daily activities to the Server.

[1083] 5. "Server" refers to the computer system that receives, stores, and analyzes profile information and daily activity data.

[1084] 6. "Emotion analysis means" refers to the means by which the server analyzes information on daily activities and extracts user emotion data.

[1085] 7. “Generative AI” refers to an artificial intelligence system that predicts applicable assistance programs based on a user’s profile information and emotional data.

[1086] 8. “Estimation Method” refers to a method for using Generative AI to estimate the support system applicable to a user.

[1087] 9. "Notification means" refers to the means by which the server identifies unapplied support programs from the estimation results and notifies the user's device.

[1088] 10. "Means for checking details" refers to the means by which a user receives notifications on their device and checks detailed information about the support program.

[1089] 11. "Support Systems" refers to subsidies, grants, support programs, etc. available to Users.

[1090] This invention is a system that uses generative AI and an emotion engine to estimate applicable support systems based on a user's profile information and daily activities, and notifies the user of support systems for which they have not yet applied.

[1091] Registering profile information

[1092] The user first installs the application. Then, they enter profile information such as family composition, area of ​​residence, occupation, hobbies, and living situation. The entered information is sent by the device to the server, which then stores it in a database. The device used for this could be a smartphone, tablet, or PC.

[1093] Record your daily activities

[1094] Users input their daily activities such as daily diary entries, notes, schedules, etc. into the application, and these records are also sent by the device to the server, which stores them in a database.

[1095] Analysis by emotion engine

[1096] The server inputs daily records into an emotion engine to recognize the user's emotions. The emotion engine uses NLP (natural language processing) technology to analyze the contents of the diary and memos and extract positive and negative emotions.

[1097] For example, from a note such as "I was very tired today, but it was fun playing with my kids," the emotion engine extracts the emotional data of "tired" and "fun."

[1098] Analysis and estimation by generative AI

[1099] The server extracts data to be analyzed based on the stored profile information and emotion data, then runs a generative AI to predict applicable subsidies and support programs. The generative AI uses models such as GPT-3 to identify the most suitable support program, taking into account the user's specific situation, needs, and emotion data.

[1100] As a concrete example, the following prompt sentence is input to the generation AI:

[1101] The user enters information such as "Family composition: 3 people," "Area of ​​residence: Kanagawa Prefecture," "Occupation: Company employee," "Diary content: 'My daily commute is difficult,'" and "Hobby: Cycling," and the service suggests support systems such as "Childcare support subsidies" and "Family travel support systems."

[1102] Identifying and notifying unapplied subsidies and support programs

[1103] Once the analysis is complete, the server filters out unapplied subsidies and support programs from the estimated results, identifies those that have not been applied for, and generates notification information to send to the device.

[1104] As a specific operation, for example, a notification stating "You have unapplied childcare subsidies" is generated and sent to the user's device.

[1105] Check and apply for subsidies and support programs

[1106] The user checks the notification on their device and views detailed information within the application. They then carefully review the details of the subsidy or support program, prepare the necessary documents, and begin the application process.

[1107] Specifically, the user clicks on "Childcare Expense Subsidy" in the app to view detailed information, checks the list of required application documents, prepares them, and fills out the actual application form.

[1108] This system allows users to efficiently obtain information on subsidies and support programs that suit their own circumstances and feelings, which is expected to increase the utilization rate of applicable support programs and enrich users' daily lives.

[1109] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1110] Step 1: Register your profile information

[1111] Users install the application and enter profile information such as family composition, area of ​​residence, occupation, hobbies, and living situation. The entered information is sent to the server by the device. The server receives the profile information and stores it in a database. Accurate storage of this data makes it possible to estimate support systems that are appropriate for the user's situation.

[1112] Input: User profile information

[1113] Output: Profile information stored in a database

[1114] Step 2: Record your daily activities

[1115] Users enter their daily activities, such as daily diaries, notes, and schedules, into the application. These records are also sent to the server by the device. The server receives the sent information on daily activities and stores it in a database. This allows detailed data on the user's daily life to be collected.

[1116] Input: User's daily activity information

[1117] Output: Daily activity information stored in a database

[1118] Step 3: Analysis by Emotion Engine

[1119] The server inputs information about daily activities into the emotion engine to recognize the user's emotions. The emotion engine uses NLP (natural language processing) technology to analyze the contents of the diary and memos and extract positive and negative emotions. For example, it can extract "negative emotions" from a memo such as "I'm very tired today."

[1120] Input: Daily activity information

[1121] Output: Extracted emotion data

[1122] Step 4: Analysis and inference by generative AI

[1123] The server extracts data to be analyzed based on the stored profile information and emotional data. It then uses a generative AI to predict applicable subsidies and support programs. Specifically, the AI ​​inputs prompts and identifies the most appropriate support program based on the user's specific situation, needs, and emotional data.

[1124] For example, you could input the following prompt into the generator AI:

[1125] The user enters information such as "Family composition: 3 people," "Area of ​​residence: Kanagawa Prefecture," "Occupation: Company employee," "Diary content: 'My daily commute is difficult,'" and "Hobby: Cycling," and the service suggests support systems such as "Childcare support subsidies" and "Family travel support systems."

[1126] Input: Profile information and emotional data

[1127] Output: List of estimated support systems

[1128] Step 5: Identify and notify unclaimed grants and support programs

[1129] Once the analysis is complete, the server filters out unapplied subsidies and support programs from the estimated results. It identifies those that have not been applied for, generates notification information, and sends it to the device. Specifically, it generates a notification saying, "You have unapplied childcare subsidies," and sends it to the user's device.

[1130] Input: List of estimated support systems

[1131] Output: Notification information

[1132] Step 6: Check and apply for subsidies and support programs

[1133] The user checks the notification on their device and views detailed information within the application. The user then carefully reviews the details of the subsidy or support system notified to them, prepares the necessary documents, and actually applies. For example, the user clicks on "Childcare Expense Subsidy" in the app, views detailed information, and checks and prepares the list of necessary application documents.

[1134] Input: Notification information

[1135] Output: Application procedure completed

[1136] In this way, each processing step works in tandem, allowing users to efficiently find and apply for subsidies and support programs that suit their own situation and feelings. This system is expected to increase the utilization rate of applicable support programs and enrich users' daily lives.

[1137] (Application example 2)

[1138] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1139] Conventional systems for providing information on subsidies and support programs have had the problem of being unable to provide appropriate support information because they are unable to fully consider the individual circumstances and needs of users. Furthermore, the information on subsidies and support programs provided was static and did not reflect the user's daily activities or emotions, making it difficult to provide sufficient convenience. Furthermore, product recommendations on online shopping sites lacked personalized suggestions based on individual users' emotions and profile information.

[1140] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1141] In this invention, the server includes means for inputting and transmitting a user's profile information and storing it on the server, means for recording and transmitting the user's daily activities and storing them on the server, means for the server to extract the user's emotional data using an emotion engine based on the stored information, means for the server to estimate applicable subsidies and support programs and optimal products and coupons using generative AI based on the emotional data and profile information, means for the server to identify unapplied subsidies and support programs and unused coupons from the estimation results and notify the user's device, and means for the user to receive the notification and check the details. This makes it possible to provide personalized support information and product recommendations according to the user's individual situation and emotions.

[1142] "User profile information" refers to personal data of a user, including information such as location, hobbies, occupation, family structure, and membership status.

[1143] "Daily activities" refers to a record of a user's daily actions and events, including purchase history, reviews, comments, etc.

[1144] A "server" is a computer system that stores, processes, and analyzes data.

[1145] An "emotion engine" is a software system that analyzes text data entered by users, such as diaries, comments, reviews, and notes, and extracts positive or negative emotions.

[1146] "Generative AI" is an artificial intelligence system that predicts applicable subsidies, support programs, products, and coupons based on collected data.

[1147] "Using generative AI to estimate applicable subsidies and support programs, as well as optimal products and coupons" means using collected data and artificial intelligence technology to identify the subsidies, support programs, products, and coupons that are most suitable for users.

[1148] "Unapplied subsidies and support programs, and unused coupons" refers to subsidies and support programs for which the user has not yet applied, and coupons that have not yet been used.

[1149] A "notification" is a message or alert that is displayed on a device to inform the user of information.

[1150] A "terminal" is a device that is directly operated by a user, such as a smartphone, tablet, or PC.

[1151] "Based on profile information and emotional data" refers to making inferences using basic information about each user and extracted emotional data.

[1152] The present invention is a system for allowing a user to receive personalized product and coupon information from an online shopping site. Specific embodiments of the system will be described below.

[1153] First, the user installs an application on their smartphone, through which they enter their profile information, such as their region, hobbies, occupation, family composition, and membership status. The entered information is sent by the smartphone to a server, which then stores it in a database.

[1154] Next, users enter their daily activities into the application, such as their daily purchase history, reviews, comments, etc. These records are also sent by the device to the server, which stores them in a database.

[1155] The server extracts user emotion data using an emotion engine (e.g., IBM Watson Natural Language Understanding) based on the saved daily activity data. The emotion engine analyzes the content of reviews and comments to extract positive and negative emotions.

[1156] Next, the server uses generative AI (e.g., OpenAI GPT-3) to predict the best products, coupons, subsidies, and support programs for the user based on the emotional data and profile information. The generative AI considers the user's specific situation and needs as well as the emotional data to identify the most suitable products, coupons, subsidies, and support programs.

[1157] Once the analysis is complete, the server filters out unused coupons and unclaimed subsidies and support programs from the estimated results. It then generates notification information and sends it to the device. The device receives the notification and informs the user of the existence of unused coupons and unclaimed subsidies and support programs.

[1158] Users can check the notification on their device and view detailed information within the app. They can then review the details of the coupons, subsidies, and support programs they have been notified about, purchase the products they need, or apply for subsidies.

[1159] Specific examples

[1160] Example 1: For students living in urban areas

[1161] For example, a student living in an urban area starts using the app and enters information such as "Area of ​​Residence: Urban," "Occupation: Student," and "Hobbies: Outdoors." This student often purchases outdoor equipment and enters comments such as "I enjoy camping outdoors" and "I need gear for the change of seasons" as part of his daily activity log. The emotion engine analyzes these comments, and generative AI predicts seasonal discount coupons and local outdoor support programs. A notification is sent, and the student checks the coupons in the app and purchases the products.

[1162] Prompt Sentence Examples

[1163] If a student who frequently purchases outdoor equipment leaves a positive comment as a result of the sentiment engine, we estimate applicable discount coupons and outdoor support programs.

[1164] In this way, a system that combines analysis using an emotion engine with generative AI allows users to receive support information and optimal products and coupons tailored to their individual situation and emotions, improving the user's shopping experience and the utilization rate of government support.

[1165] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1166] Step 1:

[1167] User enters and submits profile information

[1168] Users use their smartphones to enter profile information such as their region, hobbies, occupation, family structure, and membership status into the application. The entered information is sent to the server by the device. The entered data is the user's basic personal information, and after being sent to the server, it is stored in a database.

[1169] Step 2:

[1170] Users record and submit their daily activities

[1171] Users input their daily activities, such as their purchase history, reviews, and comments, into the application. These records are also sent by the device to the server, which then stores them in a database. The input data is the user's behavioral history and opinions, and is saved for future analysis.

[1172] Step 3:

[1173] The server extracts emotion data using an emotion engine.

[1174] The server extracts user emotion data using an emotion engine (e.g., IBM Watson Natural Language Understanding) based on the stored daily activity data. The emotion engine analyzes the content of reviews and comments to extract positive and negative emotions. The input data is daily activity data, and the extracted emotion data is generated by the emotion engine.

[1175] Step 4:

[1176] The server uses generated AI to estimate optimal products, coupons, subsidies, and support programs.

[1177] The server uses generative AI (e.g., OpenAI GPT-3) to estimate the best products, coupons, subsidies, and support programs for the user based on the emotional data and profile information. The generative AI considers the emotional data as well as the user's specific situation and needs to identify the most suitable products, coupons, subsidies, and support programs. The input data is the emotional data and profile information, and the output data is a list of estimated products, coupons, subsidies, and support programs.

[1178] Step 5:

[1179] The server identifies unused coupons, unapplied subsidies, and support programs from the estimation results.

[1180] The server uses the estimation results to filter out unused coupons, unapplied subsidies, and support programs. The goal is to extract only information that the user has not yet used. The input data is the estimation results, and the output data is a list of unused coupons, unapplied subsidies, and support programs.

[1181] Step 6:

[1182] The server generates notification information and sends it to the device.

[1183] The server generates notification information based on a list of unused coupons, unclaimed subsidies, and support programs, and sends it to the terminal. The notification contains information about new coupons, subsidies, and support programs available to the user. The input data is information about unused coupons and unclaimed support programs, and the output data is the notification information.

[1184] Step 7:

[1185] The device receives the notification and displays it to the user.

[1186] The device receives the notification information sent from the server and displays the notification to the user. The user checks the notification and views detailed information within the application. The input data is the notification information, and the output data is the notification message displayed on the device.

[1187] Step 8:

[1188] The user confirms the details and takes the necessary steps

[1189] The user checks the notification on their device and views detailed information within the application. They then carefully examine the details of the coupons, subsidies, and support programs they have been notified of, and purchase the products they need or apply for subsidies. The input data is detailed information, and the output data is the user's purchase history and application information.

[1190] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1191] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1192] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1193] [Fourth embodiment]

[1194] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1195] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1196] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1197] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1198] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1199] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1200] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1201] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1202] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1203] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1204] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1205] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1206] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1207] This invention is a system that uses a generative AI to estimate applicable subsidies and support programs based on a user's profile information and daily activities, and notifies the user of unapplied subsidies and support programs. Specific embodiments of this system are described below.

[1208] Registering profile information

[1209] First, the user installs the application, then enters profile information such as family composition, area of ​​residence, occupation, hobbies, and living situation. The entered information is sent by the device to the server, which then stores it in a database.

[1210] Record your daily activities

[1211] Next, the user enters their daily activities, such as daily diary entries, notes, schedules, etc. into the application, and these records are also sent by the device to the server, which stores them in a database.

[1212] Analysis and estimation by generative AI

[1213] The server extracts the stored profile information and daily activity data for analysis, then runs a generative AI to estimate applicable subsidies and support programs, using advanced analysis to identify the subsidies and support programs that best suit the user's specific circumstances and needs.

[1214] Identifying and notifying unapplied subsidies and support programs

[1215] Once the analysis is complete, the server filters out unapplied subsidies and support programs from the estimated results. It then generates notification information and sends it to the device. The device receives the notification and informs the user that there are unapplied subsidies and support programs.

[1216] Check and apply for subsidies and support programs

[1217] The user checks the notification on their device and views detailed information within the application. They then carefully review the details of the subsidy or support program, prepare the necessary documents, and begin the application process.

[1218] Specific examples

[1219] Example 1: A housewife raising children

[1220] The user installs the application and enters information such as "Family composition: 2 children," "Area of ​​residence: Tokyo," and "Occupation: Housewife." The device sends this to the server, which saves it. The user records information such as "My child's nursery school has been decided" and "Making meals every day is hard" in the diary, which the device also sends to the server and saves. The server uses generation AI to estimate "childcare support subsidies" and "work-saving support systems," and identifies unapplied "childcare cost subsidies." A notification is sent to Person A via the device, who checks the details within the app and applies for the subsidy.

[1221] Example 2: Entrepreneur B starting a new business

[1222] The user installs the application and enters information such as "Business size: small," "Area of ​​residence: Osaka Prefecture," and "Industry: IT services." The device sends this to the server, which saves it. Notes include information such as "Starting a new project" and "Fundraising is an issue," which the device also sends to the server and saves. The server uses generation AI to estimate "New business support subsidies" and "Startup support programs," and identifies unapplied "Entrepreneur support subsidies." A notification is sent to Person B via the device, who checks the details within the app and applies for the subsidy.

[1223] In this way, a system that automatically proposes and notifies users of the most appropriate subsidies and support programs based on their individual circumstances can increase the utilization rate of government support.

[1224] The processing flow will be explained below.

[1225] Step 1:

[1226] The user installs the application and enters profile information such as family composition, area of ​​residence, occupation, hobbies, and living situation.

[1227] Step 2:

[1228] The device transmits the entered profile information to the server.

[1229] Step 3:

[1230] The server stores the received profile information in a database.

[1231] Step 4:

[1232] A user enters daily activities such as diary entries, notes, and schedules into an application.

[1233] Step 5:

[1234] The device sends these daily records to a server.

[1235] Step 6:

[1236] The server stores the received daily records in a database.

[1237] Step 7:

[1238] The server extracts data to be analyzed based on the user's profile information and daily records.

[1239] Step 8:

[1240] The server inputs the data to be analyzed into the generation AI, which then runs the generation AI to estimate applicable subsidies and support systems.

[1241] Step 9:

[1242] The generation AI outputs the analysis results to a server and identifies the most appropriate subsidies and support systems.

[1243] Step 10:

[1244] The server filters out unapplied subsidies and support programs from the analysis results of the generated AI.

[1245] Step 11:

[1246] The server generates information about subsidies and support systems to be notified to users, and formats the notification information.

[1247] Step 12:

[1248] The server transmits the generated notification information to the terminal.

[1249] Step 13:

[1250] The notification information received by the terminal is displayed to the user.

[1251] Step 14:

[1252] The user confirms the notification and views details about the grant or assistance program within the application.

[1253] Step 15:

[1254] The user carefully reviews the details of the subsidy or support system that has been notified to them, prepares the necessary documents, etc., and completes the application process.

[1255] These are the specific processing steps of this system. This system allows users to easily find subsidies and support programs that they may have overlooked, eliminating the need to search for information themselves.

[1256] Example 1

[1257] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1258] In modern society, the inability of many users to properly utilize subsidies and support systems is a problem. In particular, it is difficult to gather the necessary information and make appropriate applications in the midst of busy daily lives. As a result, many people are unable to receive the support that is available to them. This invention aims to automatically suggest the most appropriate subsidies and support systems based on the user's situation and promote their use.

[1259] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1260] In this invention, the server includes means for inputting and transmitting a user's profile information and storing it on the server, means for recording and transmitting the user's daily activities and storing them on the server, means for the server to estimate applicable subsidies and support programs using a generative AI model based on the stored information, means for the server to generate prompt text and input it into the generative AI model to identify the most appropriate subsidy or support program, means for the server to identify unapplied subsidies and support programs from the estimation results and notify the user's device, and means for the user to receive the notification and check the details. This enables users to know the most appropriate subsidies and support programs according to their situation in a timely manner, allowing them to smoothly proceed with the application process.

[1261] "User" refers to any individual or legal entity that uses the System.

[1262] "Profile information" refers to basic information about a user, such as the user's family composition, area of ​​residence, occupation, hobbies, and living situation.

[1263] "Daily activities" refers to actions and records taken in daily life, such as a user's diary, notes, schedule, etc.

[1264] "Server" refers to a computer system that stores and analyzes information sent by users.

[1265] "Generative AI model" refers to an artificial intelligence model used to estimate optimal subsidies and support programs based on user information.

[1266] A "prompt sentence" is a sentence input to a generative AI model, and refers to an instruction sentence that estimates subsidies and support systems based on the user's situation and needs.

[1267] "Subsidies and support systems" refer to financial support and services provided by governments, local governments, companies, etc., and various programs available to users.

[1268] A "notification" is a message sent from the server to a user's device that contains information about unapplied subsidies or support programs.

[1269] This invention is a system that uses a generative AI model to estimate applicable subsidies and support programs based on a user's profile information and daily activities, and notifies the user of unapplied subsidies and support programs. Specific embodiments of this system are described below.

[1270] First, the user installs the application. The application must be downloaded and installed on a device such as a smartphone or PC. When the application is launched, the user is prompted to enter profile information such as family composition, area of ​​residence, occupation, hobbies, and living situation. The device then sends this information to the server, where it is stored in a database.

[1271] Next, the user enters their daily activities, such as their diary, notes, and schedule, into the application. This data is also sent by the device to the server and stored in a database on the server. Furthermore, the application also includes a function to automatically collect daily activity data by linking with daily emails, social media posts, calendar apps, etc.

[1272] The server extracts the saved profile information and daily activity data as the analysis target and runs a generative AI model. The server then generates prompt sentences and inputs them into the generative AI model to identify the most appropriate subsidies and support programs. The generative AI model uses advanced natural language processing technologies such as GPT-4 and BERT.

[1273] Below is an example of a prompt sentence.

[1274] Example prompt sentence:

[1275] User Information:

[1276] Family: 2 children

[1277] Living area: Tokyo

[1278] Occupation: Housewife

[1279] Diary entry:

[1280] The child's nursery school has been decided

[1281] Cooking meals every day is hard

[1282] Please suggest the subsidies and support systems that best suit your users.

[1283] The server uses the generative AI model to analyze and estimate applicable subsidies and support programs. It then filters out unapplied subsidies and support programs from the estimated results and generates notification information. The generated notification information is sent to the device, and the user receives the notification.

[1284] Users can check notifications on their devices and view detailed information within the application. After carefully examining the details of the subsidy or support program notified to them and preparing the necessary documents, they can actually apply. For example, this could involve downloading an application form online, entering the necessary information, and then submitting it or sending it by mail.

[1285] This system allows users to instantly understand the most suitable subsidies and support programs for their own circumstances, allowing them to smoothly proceed with the application process. It also increases the utilization rate of government support.

[1286] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1287] Step 1: Register your profile information

[1288] First, the user installs the application. Once the installation is complete, the user launches the application and enters profile information such as family composition, area of ​​residence, occupation, hobbies, and living situation. This information is temporarily stored on the device. The device then encrypts this data and sends it to the server via a secure communication protocol (e.g., HTTPS). The server then stores the received data in a database.

[1289] Input: Profile information entered by the user

[1290] Output: Encrypted profile information is sent to the server and stored in a database

[1291] Step 2: Record your daily activities

[1292] Users enter their daily diary entries, memos, schedules, etc. into the application. It is also possible to automatically collect daily activity data by linking with email, social media, and calendar apps. The device collects and organizes this data, re-encrypts it, and sends it to the server, which then stores it in a database.

[1293] Input: Daily activity data entered by the user and automatically collected data

[1294] Output: Encrypted daily activity data is sent to a server and stored in a database.

[1295] Step 3: Analyze the data

[1296] The server periodically extracts profile information and daily activity data from the database. It generates prompts based on the extracted data for a generative AI model (e.g., GPT-4). The generated prompts are then input into the generative AI model to analyze and predict applicable subsidies and support programs.

[1297] Input: Saved profile information and daily activity data

[1298] Output: Applicable subsidies and support programs estimated by the generative AI model

[1299] Step 4: Identify unapplied subsidies and support programs from the estimation results

[1300] The server uses the inference results from the generative AI model to perform a filtering process to identify subsidies and support programs that the user has not yet applied for, excluding subsidies and support programs that have already been applied for.

[1301] Input: Estimated results of subsidies and support programs generated by a generative AI model

[1302] Output: Filtered unclaimed grants and support programs

[1303] Step 5: Generate and send notifications

[1304] The server generates notification information based on the filtered list of unapplied subsidies and support programs. This notification information is then encrypted again and sent to the device. The device analyzes the received notification and displays the notification message as a pop-up or in-app notification.

[1305] Input: Filtered unclaimed grants and assistance programs

[1306] Output: A notification message to the user

[1307] Step 6: Check and apply for subsidies and support programs

[1308] The user checks the notification on their device and views detailed information within the application. Based on the notification, they can prepare the necessary documents, download the application form online, enter the necessary information, and then submit it or send it by mail.

[1309] Input: Notification message displayed on the terminal

[1310] Output: Completion of grant and support application process

[1311] In this way, users can learn about the most appropriate subsidies and support systems for their own circumstances and smoothly proceed with the necessary procedures.

[1312] (Application example 1)

[1313] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1314] Currently, many owners and users of autonomous vehicles must search for information on applicable subsidies and support programs themselves, which is time-consuming and laborious, resulting in a problem of reduced efficiency in utilizing government support. Furthermore, information on subsidies and support programs is scattered, making it difficult for users to obtain the necessary information in a timely manner. Therefore, the present invention aims to solve these problems by providing a system that automatically suggests optimal subsidies and support programs to owners and users of autonomous vehicles and supports their applications.

[1315] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1316] In this invention, the server includes means for inputting and transmitting user profile information and storing it on the server, means for recording and transmitting the user's daily activities and storing them on the server, means for the server to estimate applicable subsidies and support programs using a generation AI based on the stored information, means for the server to identify unapplied subsidies and support programs from the estimation results and notify the user's terminal, means for the user to receive the notification and check the details, means for inputting and transmitting profile information of the vehicle owner or user via a smartphone and storing it on the server, means for recording and transmitting daily operation data of the autonomous vehicle and storing it on the server, and means for receiving notifications using a smartphone and checking and applying for autonomous vehicle subsidies and support programs. This enables owners and users of autonomous vehicles to be aware of applicable subsidies and support programs in a timely manner and to quickly apply for them.

[1317] "User" means any individual or entity that uses the System.

[1318] "Profile information" refers to basic information about a user, such as family composition, area of ​​residence, and occupation.

[1319] "Daily activities" refers to the actions and content of the user's daily activities, including, for example, diaries, notes, schedules, etc.

[1320] "Server" refers to a computer system that receives, stores, and analyzes data sent by users.

[1321] "Generative AI" refers to artificial intelligence algorithms that use machine learning to analyze data and predict applicable subsidies and support programs.

[1322] "Subsidies and assistance programs" means financial assistance or technical support provided by governments or public institutions to individuals or entities that meet certain conditions.

[1323] "Notification" refers to information that the server sends to the user's device based on the estimated results, and serves to inform the user of unapplied subsidies and support programs.

[1324] "Device" refers to an electronic device (smartphone, tablet, etc.) used by a user that has the function of receiving and displaying notifications from the server.

[1325] An "autonomous vehicle" refers to a vehicle that can drive autonomously using artificial intelligence and related technologies.

[1326] "Operation data" refers to information such as mileage, route, fuel consumption, and usage time accumulated daily by autonomous vehicles.

[1327] This invention is a system for helping owners or users of autonomous vehicles easily understand and quickly apply for applicable subsidies and support programs. This system includes the following elements, which work in conjunction with each other:

[1328] Program processing overview

[1329] 1. Server:

[1330] Storing profile information: Receives and stores in a database profile information about the owner or user of an autonomous vehicle (e.g., vehicle model, purchase date, purpose of use, area of ​​residence, etc.) entered by the user using their smartphone.

[1331] Storage of operation data: Daily operation data of the autonomous vehicle (e.g., mileage, route, fuel consumption, usage time, etc.) is received from the smartphone and stored in a database.

[1332] Analysis and prediction using generative AI: Generative AI is run based on stored profile information and driving data to predict applicable subsidies and support programs.

[1333] Generate and send notifications: Identify unapplied subsidies and support programs from the estimation results, generate corresponding notification information, and send it to the user's device.

[1334] 2. Device (smartphone):

[1335] Entering and sending profile information: The profile information entered by the user on their smartphone is sent to the server.

[1336] Collection and transmission of operation data: Daily operation data is collected from the autonomous vehicle and transmitted to the server.

[1337] Receive and display notifications: Receive notifications sent from the server and display them to the user.

[1338] View details and apply: Users can review notifications, view details about the grants and support programs they need, and apply.

[1339] 3. Specific hardware and software:

[1340] Hardware:

[1341] Smartphone (Android or iOS)

[1342] Autonomous vehicle on-board systems

[1343] software:

[1344] Smartphone application

[1345] Server system (database, generative AI engine)

[1346] Cloud services (AWS, Google Cloud)

[1347] Specific examples

[1348] For example, a user installs a smartphone application called "Smart Car Assistance Assistant" and enters their profile information as the owner of an autonomous vehicle (e.g., model: "sedan," purchase date: "January 2022," purpose of use: "commuting," and area of ​​residence: "Tokyo"). Daily driving data (e.g., mileage: 50 km, fuel economy: 12 km / L, usage time: 1 hour, route: "point A to point B") is then sent from the autonomous vehicle to the smartphone. The generation AI then analyzes the data on the server and predicts which subsidies the user is eligible for (e.g., Green Slow Vance subsidies, smart city support programs). Based on the prediction results, any unapplied subsidies are identified, which the user can check on their smartphone and proceed with the application process.

[1349] Example prompts for generative AI models

[1350] The file format is text and looks like this:

[1351] The user's profile information is as follows:

[1352] Car type: Sedan

[1353] Purchase date: 2022-01-01

[1354] Purpose of use: Commuting

[1355] Living area: Tokyo

[1356] Additionally, the daily operating data is as follows:

[1357] Mileage: 50 km

[1358] Fuel economy: 12 km / L

[1359] Usage time: 1 hour

[1360] Route: Point A to Point B

[1361] Based on the above information, estimate which subsidies and support programs are applicable to you.

[1362] In this way, the entire system works together, making it easier for owners and users of autonomous vehicles to find and quickly apply for appropriate subsidies and support programs.

[1363] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1364] Step 1:

[1365] The user uses their smartphone to enter profile information (e.g., car model, purchase date, purpose of use, area of ​​residence, etc.) and sends that information to the server, which receives the entered information and stores it in a database.

[1366] Input: User profile information

[1367] Output: Profile information stored on the server

[1368] Operation: Data entered into the smartphone application is sent to the server as an HTTP request, and then saved in a database on the server.

[1369] Step 2:

[1370] The terminal acquires the daily driving data of the autonomous vehicle (e.g., mileage, driving route, fuel consumption, usage time, etc.) from the in-vehicle system and transmits the data to a server, where it is stored in a database.

[1371] Input: Autonomous vehicle operation data

[1372] Output: Operation data stored on the server

[1373] How it works: Data is transferred from the in-car system to a smartphone via Bluetooth or Wi-Fi, and then sent from the smartphone to a server as an HTTP request.

[1374] Step 3:

[1375] The server extracts the saved profile information and driving data and analyzes it using the AI ​​generation system. As a result of the analysis, applicable subsidies and support systems are estimated.

[1376] Input: Profile information, operation data

[1377] Output: List of estimated subsidies and support programs

[1378] How it works: Profile information and trip data are retrieved from a database and fed into a generative AI model, which analyzes the data based on prompts and predicts applicable subsidies and assistance programs.

[1379] Step 4:

[1380] The server identifies unapplied subsidies and support programs from the estimation results, generates notification information, and sends it to the user's device.

[1381] Input: List of estimated grants and support programs

[1382] Output: Notification information sent to the user's terminal

[1383] How it works: Compares the prediction results, filters and identifies unapplied subsidies and support programs, then generates notification content and sends a push notification or email to the user's device.

[1384] Step 5:

[1385] The device receives the notification sent from the server and displays it to the user. The user checks the notification and views detailed information about the subsidies and support programs they need.

[1386] Input: Notification information to the user device

[1387] Output: Display a notification to the user

[1388] How it works: The smartphone application receives a notification from the server and displays it to the user within the app. The user can then check the details and take the necessary steps within the app.

[1389] Step 6:

[1390] The user reviews the details of the subsidy or support system that has been notified to them, prepares the necessary documents, and completes the application process.

[1391] Input: Details of the grant or support program notified

[1392] Output: Grant and support application

[1393] How it works: Based on the details of grants and support programs that users view within the app, they can prepare the necessary documents and complete the application process online or offline.

[1394] In this way, each step works in tandem, enabling owners and users of autonomous vehicles to easily find and quickly apply for appropriate subsidies and support programs.

[1395] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1396] This invention is a system that uses a generative AI and an emotion engine to estimate applicable subsidies and support programs based on a user's profile information and daily activities, and notifies the user of unapplied subsidies and support programs. Specific embodiments of this system are described below.

[1397] Registering profile information

[1398] First, the user installs the application, then enters profile information such as family composition, area of ​​residence, occupation, hobbies, and living situation. The entered information is sent by the device to the server, which then stores it in a database.

[1399] Record your daily activities

[1400] Next, the user enters their daily activities, such as daily diary entries, notes, schedules, etc. into the application, and these records are also sent by the device to the server, which stores them in a database.

[1401] Analysis by emotion engine

[1402] The server recognizes the user's emotions from daily records using an emotion engine, which analyzes the contents of diary entries and memos to extract positive and negative emotions.

[1403] Analysis and estimation by generative AI

[1404] The server extracts data to be analyzed based on the stored profile information and the emotional data recognized by the emotion engine. It then runs a generative AI to predict applicable subsidies and support programs. The generative AI takes into account the user's specific situation and needs as well as the emotional data to identify the most suitable subsidies and support programs.

[1405] Identifying and notifying unapplied subsidies and support programs

[1406] Once the analysis is complete, the server filters out unapplied subsidies and support programs from the estimated results. It then generates notification information and sends it to the device. The device receives the notification and informs the user that there are unapplied subsidies and support programs.

[1407] Check and apply for subsidies and support programs

[1408] The user checks the notification on their device and views detailed information within the application. They then carefully review the details of the subsidy or support program, prepare the necessary documents, and begin the application process.

[1409] Specific examples

[1410] Example 1: A housewife raising children

[1411] The user installs the application and enters information such as "Family composition: 2 children," "Area of ​​residence: Tokyo," and "Occupation: Housewife." The device sends this to the server, which saves it. The user records entries in the diary such as "My child's nursery school has been decided" and "Making meals every day is hard," which the device also sends to the server and saves. The server uses an emotion engine to analyze the diary content and extract emotional data. The generation AI performs analysis based on this data and estimates "childcare support subsidies" and "work-saving support systems." From this, it identifies unapplied "childcare cost subsidies" and sends a notification to Person A via the device. Person A checks the details within the app and applies for the subsidy.

[1412] Example 2: Entrepreneur B starting a new business

[1413] The user installs the application and enters information such as "business scale: small," "area of ​​residence: Osaka Prefecture," and "industry: IT services." The device sends this to the server, which saves it. Notes include content such as "starting a new project" and "fundraising is an issue," which the device also sends to the server and saves. The server uses an emotion engine to analyze the content of the notes and extracts emotional data. The generation AI performs analysis based on this data and estimates "new business support subsidies" and "startup support programs," among other things. From these, it identifies an "entrepreneur support subsidy" that has not yet been applied for, and sends a notification to Person B via the device. Person B checks the details within the app and applies for the subsidy.

[1414] In this way, by combining an emotion engine that also analyzes the user's emotions, it is possible to propose more accurate and applicable subsidies and support programs. Users can receive support information tailored to their individual circumstances and emotions, further increasing the utilization rate of government support.

[1415] The processing flow will be explained below.

[1416] Step 1:

[1417] The user installs the application and enters profile information such as family composition, area of ​​residence, occupation, hobbies, and living situation.

[1418] Step 2:

[1419] The device transmits the entered profile information to the server.

[1420] Step 3:

[1421] The server stores the received profile information in a database.

[1422] Step 4:

[1423] A user enters daily activities such as diary entries, notes, and schedules into an application.

[1424] Step 5:

[1425] The device sends these daily records to a server.

[1426] Step 6:

[1427] The server stores the received daily records in a database.

[1428] Step 7:

[1429] The server uses an emotion engine to recognize the user's emotions from daily records. The emotion engine analyzes the contents of the diary and memos to extract positive and negative emotions.

[1430] Step 8:

[1431] The server extracts data to be analyzed based on the stored profile information and emotion data recognized by the emotion engine.

[1432] Step 9:

[1433] The server inputs the data to be analyzed into the AI ​​generator, which then runs the AI ​​to estimate applicable subsidies and support programs. The AI ​​then takes into account profile information and emotion data to identify the most suitable subsidies and support programs.

[1434] Step 10:

[1435] The generation AI outputs the analysis results to the server, which then filters out unapplied subsidies and support programs from the estimated results.

[1436] Step 11:

[1437] The server generates information about subsidies and support systems to be notified to users, and formats the notification information.

[1438] Step 12:

[1439] The server transmits the generated notification information to the terminal.

[1440] Step 13:

[1441] The notification information received by the terminal is displayed to the user.

[1442] Step 14:

[1443] The user confirms the notification and views details about the grant or assistance program within the application.

[1444] Step 15:

[1445] The user carefully reviews the details of the subsidy or support system that has been notified to them, prepares the necessary documents, etc., and completes the application process.

[1446] Specific examples

[1447] Example 1: A housewife raising children

[1448] Step 1: The user (Ms. A) installs the application and enters information such as "Family composition: 2 children," "Area of ​​residence: Tokyo," and "Occupation: Housewife."

[1449] Step 2: The device sends the profile information to the server, which stores it.

[1450] Steps 4-6: Person A records in his / her diary, "My child's nursery school has been decided" and "Making meals every day is hard," and the device sends this to the server and stores it.

[1451] Step 7: The server uses an emotion engine to analyze the diary content and extract emotion data (e.g., "Positive: 50%, Negative: 50%).

[1452] Steps 8-10: The server uses the AI ​​to analyze the profile and emotional data, and estimates "childcare support subsidies" and "work-shortening support systems."

[1453] Steps 10-12: The server identifies any unapplied "childcare expense subsidies" from the estimation results, generates notification information, and sends it to the terminal.

[1454] Step 13: The device displays a notification to Person A, who then checks the details.

[1455] Steps 14-15: Person A applies for a subsidy.

[1456] Example 2: Entrepreneur B starting a new business

[1457] Step 1: The user (Mr. B) installs the application and enters information such as "Business size: small," "Area of ​​residence: Osaka Prefecture," and "Industry: IT services."

[1458] Step 2: The device sends the profile information to the server, which stores it.

[1459] Steps 4-6: Person B records in his / her notes "Starting a new project" and "Funding is an issue," and the device sends this to the server and saves it.

[1460] Step 7: The server uses the emotion engine to analyze the content of the note and extract emotion data (e.g., "Positive: 70%, Negative: 30%).

[1461] Steps 8-10: The server uses the generative AI to analyze the profile and emotion data and estimates "new business support subsidies" and "startup support programs," etc.

[1462] Steps 10-12: The server identifies unapplied "Entrepreneur Support Subsidies" from the estimation results, generates notification information, and sends it to the terminal.

[1463] Step 13: The device displays a notification to Person B, who checks the details.

[1464] Steps 14-15: Person B applies for the subsidy.

[1465] By combining this system with an emotion engine that also analyzes the user's emotions, it is possible to provide support information optimized for the user's situation and emotions, thereby increasing the utilization rate of government support.

[1466] Example 2

[1467] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1468] In modern society, it is extremely difficult for users to find and appropriately apply for support programs and subsidies that may apply to them. In particular, there is a need for a method to efficiently identify and notify optimal subsidies and support programs based on diverse profile information and daily activity records. Conventional systems recommend support programs without considering the user's emotional state, making it difficult to suggest appropriate support programs, which results in a low utilization rate of support programs.

[1469] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for inputting and transmitting the user's profile information and saving it on the server, means for recording and transmitting the user's daily activities and saving it on the server, emotion analysis means for the server to analyze the transmitted information on daily activities, means for the server to estimate applicable support systems using a generation AI based on the stored profile information and emotion data, means for the server to identify unapplied support systems from the estimation results and notify the user's terminal, and means for the user to receive the notification and check the details. This makes it possible to efficiently identify and notify an appropriate support system according to the user's emotional state.

[1470] 1. "User" refers to a person who uses the system and who enters their personal profile information and daily activities.

[1471] 2. "Profile information" refers to personal information such as the user's family composition, area of ​​residence, occupation, hobbies, and living situation.

[1472] 3. "Daily Activities" refers to the user's diary, notes, schedules, and other records of daily activities and events.

[1473] 4. "Device" refers to the electronic device used by a User to enter and transmit profile information and daily activities to the Server.

[1474] 5. "Server" refers to the computer system that receives, stores, and analyzes profile information and daily activity data.

[1475] 6. "Emotion analysis means" refers to the means by which the server analyzes information on daily activities and extracts user emotion data.

[1476] 7. “Generative AI” refers to an artificial intelligence system that predicts applicable assistance programs based on a user’s profile information and emotional data.

[1477] 8. “Estimation Method” refers to a method for using Generative AI to estimate the support system applicable to a user.

[1478] 9. "Notification means" refers to the means by which the server identifies unapplied support programs from the estimation results and notifies the user's device.

[1479] 10. "Means for checking details" refers to the means by which a user receives notifications on their device and checks detailed information about the support program.

[1480] 11. "Support Systems" refers to subsidies, grants, support programs, etc. available to Users.

[1481] This invention is a system that uses generative AI and an emotion engine to estimate applicable support systems based on a user's profile information and daily activities, and notifies the user of support systems for which they have not yet applied.

[1482] Registering profile information

[1483] The user first installs the application. Then, they enter profile information such as family composition, area of ​​residence, occupation, hobbies, and living situation. The entered information is sent by the device to the server, which then stores it in a database. The device used for this could be a smartphone, tablet, or PC.

[1484] Record your daily activities

[1485] Users input their daily activities such as daily diary entries, notes, schedules, etc. into the application, and these records are also sent by the device to the server, which stores them in a database.

[1486] Analysis by emotion engine

[1487] The server inputs daily records into an emotion engine to recognize the user's emotions. The emotion engine uses NLP (natural language processing) technology to analyze the contents of the diary and memos and extract positive and negative emotions.

[1488] For example, from a note such as "I was very tired today, but it was fun playing with my kids," the emotion engine extracts the emotional data of "tired" and "fun."

[1489] Analysis and estimation by generative AI

[1490] The server extracts data to be analyzed based on the stored profile information and emotion data, then runs a generative AI to predict applicable subsidies and support programs. The generative AI uses models such as GPT-3 to identify the most suitable support program, taking into account the user's specific situation, needs, and emotion data.

[1491] As a concrete example, the following prompt sentence is input to the generation AI:

[1492] The user enters information such as "Family composition: 3 people," "Area of ​​residence: Kanagawa Prefecture," "Occupation: Company employee," "Diary content: 'My daily commute is difficult,'" and "Hobby: Cycling," and the service suggests support systems such as "Childcare support subsidies" and "Family travel support systems."

[1493] Identifying and notifying unapplied subsidies and support programs

[1494] Once the analysis is complete, the server filters out unapplied subsidies and support programs from the estimated results, identifies those that have not been applied for, and generates notification information to send to the device.

[1495] As a specific operation, for example, a notification stating "You have unapplied childcare subsidies" is generated and sent to the user's device.

[1496] Check and apply for subsidies and support programs

[1497] The user checks the notification on their device and views detailed information within the application. They then carefully review the details of the subsidy or support program, prepare the necessary documents, and begin the application process.

[1498] Specifically, the user clicks on "Childcare Expense Subsidy" in the app to view detailed information, checks the list of required application documents, prepares them, and fills out the actual application form.

[1499] This system allows users to efficiently obtain information on subsidies and support programs that suit their own circumstances and feelings, which is expected to increase the utilization rate of applicable support programs and enrich users' daily lives.

[1500] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1501] Step 1: Register your profile information

[1502] Users install the application and enter profile information such as family composition, area of ​​residence, occupation, hobbies, and living situation. The entered information is sent to the server by the device. The server receives the profile information and stores it in a database. Accurate storage of this data makes it possible to estimate support systems that are appropriate for the user's situation.

[1503] Input: User profile information

[1504] Output: Profile information stored in a database

[1505] Step 2: Record your daily activities

[1506] Users enter their daily activities, such as daily diaries, notes, and schedules, into the application. These records are also sent to the server by the device. The server receives the sent information on daily activities and stores it in a database. This allows detailed data on the user's daily life to be collected.

[1507] Input: User's daily activity information

[1508] Output: Daily activity information stored in a database

[1509] Step 3: Analysis by Emotion Engine

[1510] The server inputs information about daily activities into the emotion engine to recognize the user's emotions. The emotion engine uses NLP (natural language processing) technology to analyze the contents of the diary and memos and extract positive and negative emotions. For example, it can extract "negative emotions" from a memo such as "I'm very tired today."

[1511] Input: Daily activity information

[1512] Output: Extracted emotion data

[1513] Step 4: Analysis and inference by generative AI

[1514] The server extracts data to be analyzed based on the stored profile information and emotional data. It then uses a generative AI to predict applicable subsidies and support programs. Specifically, the AI ​​inputs prompts and identifies the most appropriate support program based on the user's specific situation, needs, and emotional data.

[1515] For example, you could input the following prompt into the generator AI:

[1516] The user enters information such as "Family composition: 3 people," "Area of ​​residence: Kanagawa Prefecture," "Occupation: Company employee," "Diary content: 'My daily commute is difficult,'" and "Hobby: Cycling," and the service suggests support systems such as "Childcare support subsidies" and "Family travel support systems."

[1517] Input: Profile information and emotional data

[1518] Output: List of estimated support systems

[1519] Step 5: Identify and notify unclaimed grants and support programs

[1520] Once the analysis is complete, the server filters out unapplied subsidies and support programs from the estimated results. It identifies those that have not been applied for, generates notification information, and sends it to the device. Specifically, it generates a notification saying, "You have unapplied childcare subsidies," and sends it to the user's device.

[1521] Input: List of estimated support systems

[1522] Output: Notification information

[1523] Step 6: Check and apply for subsidies and support programs

[1524] The user checks the notification on their device and views detailed information within the application. The user then carefully reviews the details of the subsidy or support system notified to them, prepares the necessary documents, and actually applies. For example, the user clicks on "Childcare Expense Subsidy" in the app, views detailed information, and checks and prepares the list of necessary application documents.

[1525] Input: Notification information

[1526] Output: Application procedure completed

[1527] In this way, each processing step works in tandem, allowing users to efficiently find and apply for subsidies and support programs that suit their own situation and feelings. This system is expected to increase the utilization rate of applicable support programs and enrich users' daily lives.

[1528] (Application example 2)

[1529] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1530] Conventional systems for providing information on subsidies and support programs have had the problem of being unable to provide appropriate support information because they are unable to fully consider the individual circumstances and needs of users. Furthermore, the information on subsidies and support programs provided was static and did not reflect the user's daily activities or emotions, making it difficult to provide sufficient convenience. Furthermore, product recommendations on online shopping sites lacked personalized suggestions based on individual users' emotions and profile information.

[1531] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1532] In this invention, the server includes means for inputting and transmitting a user's profile information and storing it on the server, means for recording and transmitting the user's daily activities and storing them on the server, means for the server to extract the user's emotional data using an emotion engine based on the stored information, means for the server to estimate applicable subsidies and support programs and optimal products and coupons using generative AI based on the emotional data and profile information, means for the server to identify unapplied subsidies and support programs and unused coupons from the estimation results and notify the user's device, and means for the user to receive the notification and check the details. This makes it possible to provide personalized support information and product recommendations according to the user's individual situation and emotions.

[1533] "User profile information" refers to personal data of a user, including information such as location, hobbies, occupation, family structure, and membership status.

[1534] "Daily activities" refers to a record of a user's daily actions and events, including purchase history, reviews, comments, etc.

[1535] A "server" is a computer system that stores, processes, and analyzes data.

[1536] An "emotion engine" is a software system that analyzes text data entered by users, such as diaries, comments, reviews, and notes, and extracts positive or negative emotions.

[1537] "Generative AI" is an artificial intelligence system that predicts applicable subsidies, support programs, products, and coupons based on collected data.

[1538] "Using generative AI to estimate applicable subsidies and support programs, as well as optimal products and coupons" means using collected data and artificial intelligence technology to identify the subsidies, support programs, products, and coupons that are most suitable for users.

[1539] "Unapplied subsidies and support programs, and unused coupons" refers to subsidies and support programs for which the user has not yet applied, and coupons that have not yet been used.

[1540] A "notification" is a message or alert that is displayed on a device to inform the user of information.

[1541] A "terminal" is a device that is directly operated by a user, such as a smartphone, tablet, or PC.

[1542] "Based on profile information and emotional data" refers to making inferences using basic information about each user and extracted emotional data.

[1543] The present invention is a system for allowing a user to receive personalized product and coupon information from an online shopping site. Specific embodiments of the system will be described below.

[1544] First, the user installs an application on their smartphone, through which they enter their profile information, such as their region, hobbies, occupation, family composition, and membership status. The entered information is sent by the smartphone to a server, which then stores it in a database.

[1545] Next, users enter their daily activities into the application, such as their daily purchase history, reviews, comments, etc. These records are also sent by the device to the server, which stores them in a database.

[1546] The server extracts user emotion data using an emotion engine (e.g., IBM Watson Natural Language Understanding) based on the saved daily activity data. The emotion engine analyzes the content of reviews and comments to extract positive and negative emotions.

[1547] Next, the server uses generative AI (e.g., OpenAI GPT-3) to predict the best products, coupons, subsidies, and support programs for the user based on the emotional data and profile information. The generative AI considers the user's specific situation and needs as well as the emotional data to identify the most suitable products, coupons, subsidies, and support programs.

[1548] Once the analysis is complete, the server filters out unused coupons and unclaimed subsidies and support programs from the estimated results. It then generates notification information and sends it to the device. The device receives the notification and informs the user of the existence of unused coupons and unclaimed subsidies and support programs.

[1549] Users can check the notification on their device and view detailed information within the app. They can then review the details of the coupons, subsidies, and support programs they have been notified about, purchase the products they need, or apply for subsidies.

[1550] Specific examples

[1551] Example 1: For students living in urban areas

[1552] For example, a student living in an urban area starts using the app and enters information such as "Area of ​​Residence: Urban," "Occupation: Student," and "Hobbies: Outdoors." This student often purchases outdoor equipment and enters comments such as "I enjoy camping outdoors" and "I need gear for the change of seasons" as part of his daily activity log. The emotion engine analyzes these comments, and generative AI predicts seasonal discount coupons and local outdoor support programs. A notification is sent, and the student checks the coupons in the app and purchases the products.

[1553] Prompt Sentence Examples

[1554] If a student who frequently purchases outdoor equipment leaves a positive comment as a result of the sentiment engine, we estimate applicable discount coupons and outdoor support programs.

[1555] In this way, a system that combines analysis using an emotion engine with generative AI allows users to receive support information and optimal products and coupons tailored to their individual situation and emotions, improving the user's shopping experience and the utilization rate of government support.

[1556] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1557] Step 1:

[1558] User enters and submits profile information

[1559] Users use their smartphones to enter profile information such as their region, hobbies, occupation, family structure, and membership status into the application. The entered information is sent to the server by the device. The entered data is the user's basic personal information, and after being sent to the server, it is stored in a database.

[1560] Step 2:

[1561] Users record and submit their daily activities

[1562] Users input their daily activities, such as their purchase history, reviews, and comments, into the application. These records are also sent by the device to the server, which then stores them in a database. The input data is the user's behavioral history and opinions, and is saved for future analysis.

[1563] Step 3:

[1564] The server extracts emotion data using an emotion engine.

[1565] The server extracts user emotion data using an emotion engine (e.g., IBM Watson Natural Language Understanding) based on the stored daily activity data. The emotion engine analyzes the content of reviews and comments to extract positive and negative emotions. The input data is daily activity data, and the extracted emotion data is generated by the emotion engine.

[1566] Step 4:

[1567] The server uses generated AI to estimate optimal products, coupons, subsidies, and support programs.

[1568] The server uses generative AI (e.g., OpenAI GPT-3) to estimate the best products, coupons, subsidies, and support programs for the user based on the emotional data and profile information. The generative AI considers the emotional data as well as the user's specific situation and needs to identify the most suitable products, coupons, subsidies, and support programs. The input data is the emotional data and profile information, and the output data is a list of estimated products, coupons, subsidies, and support programs.

[1569] Step 5:

[1570] The server identifies unused coupons, unapplied subsidies, and support programs from the estimation results.

[1571] The server uses the estimation results to filter out unused coupons, unapplied subsidies, and support programs. The goal is to extract only information that the user has not yet used. The input data is the estimation results, and the output data is a list of unused coupons, unapplied subsidies, and support programs.

[1572] Step 6:

[1573] The server generates notification information and sends it to the device.

[1574] The server generates notification information based on a list of unused coupons, unclaimed subsidies, and support programs, and sends it to the terminal. The notification contains information about new coupons, subsidies, and support programs available to the user. The input data is information about unused coupons and unclaimed support programs, and the output data is the notification information.

[1575] Step 7:

[1576] The device receives the notification and displays it to the user.

[1577] The device receives the notification information sent from the server and displays the notification to the user. The user checks the notification and views detailed information within the application. The input data is the notification information, and the output data is the notification message displayed on the device.

[1578] Step 8:

[1579] The user confirms the details and takes the necessary steps

[1580] The user checks the notification on their device and views detailed information within the application. They then carefully examine the details of the coupons, subsidies, and support programs they have been notified of, and purchase the products they need or apply for subsidies. The input data is detailed information, and the output data is the user's purchase history and application information.

[1581] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1582] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1583] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1584] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1585] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1586] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1587] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1588] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1589] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1590] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1591] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1592] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1593] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1594] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[1595] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1596] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1597] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1598] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1599] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1600] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1601] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1602] The following is further disclosed regarding the above embodiment.

[1603] (Claim 1)

[1604] A means for entering and submitting user profile information and storing it on the server;

[1605] A means of recording and transmitting the user's daily activities and storing them on a server;

[1606] A means for the server to use generative AI to estimate applicable subsidies and support systems based on the information stored on the server;

[1607] The server identifies unapplied subsidies and support programs from the estimation results and notifies the user's device.

[1608] A way for users to receive notifications and find out more information;

[1609] A system including:

[1610] (Claim 2)

[1611] The system of claim 1, wherein the generating AI analyzes the user's profile information and daily records to identify optimal subsidies and support programs.

[1612] (Claim 3)

[1613] 10. The system of claim 1, wherein the server sends the generated notification information to the user's terminal, and the terminal displays the notification to the user.

[1614] "Example 1"

[1615] (Claim 1)

[1616] A means for entering and submitting user profile information and storing it on the server;

[1617] A means of recording and transmitting the user's daily activities and storing them on a server;

[1618] A means for the server to estimate applicable subsidies and support systems using a generative AI model based on the information stored on the server;

[1619] The server generates prompt sentences and inputs them into the generative AI model to identify optimal subsidies and support programs.

[1620] The server identifies unapplied subsidies and support programs from the estimation results and notifies the user's device.

[1621] A way for users to receive notifications and find out more information;

[1622] A system including:

[1623] (Claim 2)

[1624] The system of claim 1, wherein the generative AI model analyzes a user's profile information and daily records to identify optimal subsidies and support programs.

[1625] (Claim 3)

[1626] 10. The system of claim 1, wherein the server sends the generated notification information to the user's terminal, and the terminal displays the notification to the user.

[1627] "Application Example 1"

[1628] (Claim 1)

[1629] A means for entering and submitting user profile information and storing it on the server;

[1630] A means of recording and transmitting the user's daily activities and storing them on a server;

[1631] A means for the server to use generative AI to estimate applicable subsidies and support systems based on the information stored on the server;

[1632] The server identifies unapplied subsidies and support programs from the estimation results and notifies the user's device.

[1633] A way for users to receive notifications and find out more information;

[1634] A means for inputting and transmitting profile information of a vehicle owner or user via a smartphone and storing it on a server;

[1635] A means for recording and transmitting daily operation data of the autonomous vehicle and storing it on a server;

[1636] A means to receive notifications using a smartphone and check and apply for subsidies and support programs for autonomous vehicles,

[1637] A system including:

[1638] (Claim 2)

[1639] The system of claim 1, wherein the generating AI analyzes the user's profile information and daily records to identify optimal subsidies and support programs.

[1640] (Claim 3)

[1641] 10. The system of claim 1, wherein the server sends the generated notification information to the user's terminal, and the terminal displays the notification to the user.

[1642] "Example 2: Combining Emotion Engines"

[1643] (Claim 1)

[1644] A means for entering and submitting user profile information and storing it on the server;

[1645] A means of recording and transmitting the user's daily activities and storing them on a server;

[1646] An emotion analysis means for the server to analyze the transmitted daily activity information;

[1647] A means for the server to estimate applicable support systems using a generative AI based on the profile information and emotion data stored;

[1648] The server identifies unapplied support programs from the estimation results and notifies the user's device;

[1649] A way for users to receive notifications and find out more information;

[1650] A system including:

[1651] (Claim 2)

[1652] The system of claim 1, wherein the generating AI analyzes the user's profile information and daily record and emotional data to identify the optimal support system.

[1653] (Claim 3)

[1654] 10. The system of claim 1, wherein the server sends the generated notification information to the user's terminal, and the terminal displays the notification to the user.

[1655] "Application example 2 when combining emotion engines"

[1656] (Claim 1)

[1657] A means for entering and submitting user profile information and storing it on the server;

[1658] A means of recording and transmitting the user's daily activities and storing them on a server;

[1659] A means for extracting user emotion data using an emotion engine based on the stored information by the server;

[1660] A means for the server to use generative AI to estimate applicable subsidies and support programs, as well as optimal products and coupons, based on the emotion data and profile information;

[1661] A means for the server to identify unapplied subsidies, support programs, and unused coupons from the estimation results and notify the user's terminal;

[1662] A way for users to receive notifications and find out more information;

[1663] A system including:

[1664] (Claim 2)

[1665] The system of claim 1, wherein the generating AI analyzes the user's profile information, daily records, and emotional data to identify optimal subsidies and support programs, as well as optimal products and coupons.

[1666] (Claim 3)

[1667] 10. The system of claim 1, wherein the server sends the generated notification information to the user's terminal, and the terminal displays the notification to the user. [Explanation of symbols]

[1668] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. A means for inputting and transmitting user profile information and storing it on a server; A means for recording and transmitting the user's daily activities and storing them on a server; A means for the server to use generative AI to estimate applicable subsidies and support systems based on the information stored on the server; The server identifies unapplied subsidies and support programs from the estimation results and notifies the user's device. A way for users to receive notifications and find out more information; A system including:

2. The system of claim 1, wherein the generating AI analyzes the user's profile information and daily records to identify optimal subsidies and support programs.

3. The system of claim 1 , wherein the server transmits the generated notification information to the user's terminal, and the terminal displays the notification to the user.

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