system

Abstract

Provide a system. A local server located on a city, ward, town, or village basis; A plurality of terminals connected within a local network; a terminal including an application for sending data to the local server and receiving data from the local server; means for providing information via the local network even in a situation where an Internet connection is not possible; a chatbot means using generative AI installed in the local server to reduce user anxiety; means for communicating messages between users via the local server; A means for automatically generating content and providing it to users; A system including:

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] When the Internet is down due to a disaster or other reason, many people feel anxious about obtaining information and communicating with others. In such situations, there is a need for a means to provide information quickly and reliably and maintain communication between users. Furthermore, psychological stress increases during disasters, so support is needed to alleviate this stress. Current systems have difficulty meeting all of these needs at once, so new solutions are needed to provide a sense of security in times of emergency. [Means for solving the problem]

[0005] The present invention provides a system that combines a local server located on a municipal level with multiple terminals connected within a local network. This makes it possible to quickly provide information and maintain communication between users even in situations where Internet connection is unavailable. Furthermore, a chatbot means using generative AI installed in the local server reduces user anxiety. Furthermore, an automatic content generation means is used to generate relaxing content and provide it to users, thereby alleviating psychological stress. Thus, the present invention is a system that provides a comprehensive sense of security and information provision in emergencies.

[0006] A "local server" is a server that is located on a city, ward, town, or village basis and can communicate with terminals within the local network.

[0007] A "local network" is a communication network that allows local servers and terminals to connect to each other even when an Internet connection is not possible.

[0008] A "terminal" is a device that is connected to a local server via a local network and is used to obtain information and perform communication.

[0009] An "application" is software that is installed on a terminal and is used to send and receive data to and from a local server.

[0010] "Generative AI" is artificial intelligence that analyzes input from users and generates appropriate answers and content.

[0011] A "chatbot" is a program that uses generative AI to respond to user questions in an interactive format.

[0012] "Message communication" is a means of communication for exchanging text messages between users, and is carried out via a local server.

[0013] "Automatic content generation means" is a function that uses generative AI to automatically create relaxing content such as music and reading material. [Brief explanation of the drawings]

[0014] [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

[0015] 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.

[0016] First, the terms used in the following description will be explained.

[0017] 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).

[0018] 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.

[0019] 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.

[0020] 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.

[0021] 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."

[0022] [First embodiment]

[0023] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0024] 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.

[0025] 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).

[0026] 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.

[0027] 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.

[0028] 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.

[0029] 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.

[0030] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0031] 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.

[0032] 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.

[0033] 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.

[0034] 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."

[0035] This invention is a system that connects local servers located in each city, ward, town, or village with multiple terminals via a local network, enabling information provision and communication between users even when the Internet is down. Furthermore, it provides functions to reduce user anxiety using generative AI and to alleviate psychological stress with automatically generated content.

[0036] Overall operation overview

[0037] 1. Server configuration:

[0038] The servers are located in each city, town, or village and function as Wi-Fi access points, providing information to devices connected via the local network even when the internet is down.

[0039] The server broadcasts Wi-Fi with the appropriate SSID and password, allowing devices within range to connect.

[0040] 2. User connection:

[0041] The device (user's smartphone or PC) launches a dedicated application and connects to the server's local network, allowing it to obtain disaster information and communicate with other users.

[0042] 3. Provision of Information:

[0043] The server will provide cached disaster information and news, such as Yahoo! News and official information from local municipalities, to devices even if the internet is down.

[0044] 4. User-to-User Communications:

[0045] Users can send messages to other users using a dedicated application. The message is first sent to the server and then forwarded to the destination user's device, ensuring real-time communication within the local network.

[0046] 5. Generative AI Support:

[0047] Users can use the chatbot function within the dedicated application to ask questions or ask for advice from the generative AI. The server uses the generative AI to generate appropriate answers to the user's questions. This function helps reduce anxiety during disasters.

[0048] 6. Providing Auto-Generated Content:

[0049] The server automatically generates relaxing content such as music and reading material and provides it to the device, allowing users to use this content to relieve psychological stress.

[0050] Specific scenarios

[0051] Scenario 1: Building and connecting a local network

[0052] The server broadcasts Wi-Fi with the SSID "disaster_network".

[0053] The device connects to the "disaster_network" in the Wi-Fi settings and launches the dedicated application.

[0054] The application gets the server's IP address and attempts to connect.

[0055] Scenario 2: Obtaining Information

[0056] The server provides the latest disaster information that has been cached in advance to connected devices.

[0057] Users can view the latest news and disaster information through a dedicated application.

[0058] Scenario 3: User-to-User Communication

[0059] User A uses the chat function of a dedicated app to send a message to User B saying, "I'm heading to an evacuation site."

[0060] The server receives this message and forwards it to User B.

[0061] User B receives the message and can reply.

[0062] Scenario 4: Generative AI support

[0063] The user launches the chatbot function and types a question: "What should I do next?"

[0064] The generative AI on the server analyzes the question, generates an appropriate answer, and responds to the user, for example, "Please go to an evacuation shelter and ensure your safety."

[0065] Scenario 5: Serving Auto-Generated Content

[0066] The server automatically generates relaxing music using generative AI.

[0067] The content is sent to the terminal, and the user plays relaxing music to relieve stress.

[0068] In this way, the present invention realizes a comprehensive system for ensuring communication and information provision in the event of a disaster, and for reducing users' anxiety and stress.

[0069] The processing flow will be explained below.

[0070] Step 1:

[0071] The server is enabled to function as a Wi-Fi access point and broadcasts Wi-Fi with a specific SSID and password.

[0072] What happens: The server starts the Wi-Fi module, sets up an SSID called "disaster_network", and allows the connection.

[0073] Step 2:

[0074] On the device, select "disaster_network" on the Wi-Fi settings screen and enter the specified password to connect.

[0075] How it works: Select "disaster_network" from your device's Wi-Fi list, enter the password and establish a connection.

[0076] Step 3:

[0077] The terminal starts a dedicated application and sends a connection request to the server.

[0078] How it works: The dedicated app obtains the server's IP address (e.g., 192.168.1.1) and sends a connection request using the connection protocol (e.g., HTTP / HTTPS).

[0079] Step 4:

[0080] The server receives the connection request and begins the authentication process.

[0081] Operation: The server verifies the user data, and if authentication is successful, it returns a response according to the request from the dedicated app.

[0082] Step 5:

[0083] The server provides the latest disaster information and news data that it has cached in advance to connected devices.

[0084] How it works: The server loads official information from Yahoo! News and local municipalities from its cache and sends it to the device.

[0085] Step 6:

[0086] Users can send messages to other users using the chat function within the dedicated application.

[0087] Operation: User A enters a chat message and presses the "Send" button, and the message data is sent to the server.

[0088] Step 7:

[0089] The server receives a message from user A, identifies the destination user B, and forwards the message data.

[0090] Operation: The server obtains the IP address of the destination user B and sends the message to user B.

[0091] Step 8:

[0092] User B receives the message using a dedicated application and replies.

[0093] Action: User B reads the chat message, types a reply message if necessary, and sends it.

[0094] Step 9:

[0095] Users activate the chatbot function within the dedicated app and input their questions or inquiries into the generative AI.

[0096] What happens: The user types "What should I do next?" and presses the "Submit" button.

[0097] Step 10:

[0098] The server activates the generative AI, analyzes the user's question, generates an appropriate answer, and sends the response to the device.

[0099] How it works: The generative AI analyzes the question and generates an appropriate answer, such as "Go to an evacuation shelter and stay safe," which it returns to the user.

[0100] Step 11:

[0101] The server uses generative AI to automatically generate relaxing content such as music and reading material and provide it to the device.

[0102] How it works: Generative AI generates content in the background and sends the data to the user's device.

[0103] Step 12:

[0104] The terminal receives the provided content, and the user plays or views the content.

[0105] Operation: Provides the received content data to the user through an app for playback and display.

[0106] Example 1

[0107] 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."

[0108] There is a need for a system that allows residents to obtain necessary information and communicate with each other even in situations where internet connection is not possible due to disasters, network failures, etc. There is also a need for a means to reduce anxiety and relieve psychological stress during disasters.

[0109] 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.

[0110] In this invention, the server includes a local server located on a municipality basis, a plurality of terminals connected within a local network, a terminal including an application for sending data to the local server and receiving data from the local server, a means for providing information via the local network even when an Internet connection is unavailable, a chatbot means installed in the local server and using generative AI to reduce user anxiety, a means for communicating messages between users via the local server, a means for automatically generating content and providing it to users, a means for the local server to forward messages received from user terminals to destination terminals, and a means for the local server to automatically generate content such as relaxing music and reading material and provide it to users. This enables the provision of necessary information and communication between users even when an Internet connection is unavailable, and further reduces user anxiety and psychological stress.

[0111] A "local server" is a server that is installed at the municipal level and functions within a local network.

[0112] A "terminal" is a device used by a user, such as a smartphone or PC, that is connected to a server via a local network.

[0113] An "application" is software that is installed on a terminal and is used to send and receive data to and from a local server.

[0114] A "local network" is a network that is interconnected within a certain range and allows for the provision of information and communication even in situations where an Internet connection is not possible.

[0115] "Generative AI" is a type of artificial intelligence, a system that generates appropriate responses to users' questions and inquiries.

[0116] A "chatbot tool" is interactive software that uses generative AI to reduce user anxiety.

[0117] "Message communication" refers to the act of exchanging text messages between users, and is carried out via a local server.

[0118] "Auto-generated content" refers to content such as music or reading material that is automatically created using generative AI.

[0119] "Disaster information" refers to emergency information and news data provided in the event of a disaster, and is information necessary to ensure the safety of users.

[0120] "Cache" is a means of temporarily storing data, and is a mechanism that allows information to be provided quickly even when an Internet connection is not possible.

[0121] This invention is a system that connects local servers located in each city, ward, town, or village with multiple terminals via a local network, enabling information provision and communication between users even when the Internet is down. Furthermore, it provides functions to reduce user anxiety using generative AI and to alleviate psychological stress with automatically generated content.

[0122] First, servers are installed at the municipal level, and the main hardware used is a general-purpose server or Wi-Fi access point device. Specifically, an Apache (registered trademark) web server is configured to listen on port 80, and a MySQL (registered trademark) database server is used for data management. A commercially available Wi-Fi router is used as the Wi-Fi access point, and the SSID "disaster_network" is set.

[0123] A dedicated application (e.g., the DisasterConnect app) is installed on the device (user's smartphone or PC), and by launching the application, the device connects to the local network. The device obtains the server's local IP address (e.g., 192.168.0.1) via DHCP, and accesses the server's management interface through the application.

[0124] The server caches disaster information and news in advance when the internet is available. Information is obtained from the Yahoo! News API and official city and town APIs and stored in a MySQL database in JSON format. Even if the internet is down, the server will provide the cached information to user devices.

[0125] As a concrete example, the server accesses the Yahoo! News API to retrieve the latest disaster information every hour. This information is stored in the "cache_data" table in the MySQL database and provided to the device as needed. For example, when a user clicks the "Get the latest disaster information" button in the DisasterConnect app, the server retrieves the latest information from the "cache_data" table and returns it to the device in JSON format.

[0126] Message communication between users can also take place within the local network. When user A types a message such as "I'm heading to an evacuation site" and presses the send button, the server receives this message and identifies the terminal address of the destination user (user B). The server then forwards the message to user B, who can receive and reply.

[0127] In addition, a chatbot function using generative AI is also provided. When a user inputs a question into the chatbot, such as "What should I do next?", the server-side generative AI (e.g., OpenAI (registered trademark) GPT-4 (registered trademark)) analyzes the question and generates an appropriate answer. For example, a response such as "Please go to an evacuation shelter and ensure your safety" is generated and sent to the user.

[0128] Finally, automatically generated content such as relaxing music and reading material is provided. The server generates relaxing music using generative AI (e.g., Jukedeck or Amper Music) and saves it as "relax_music.mp3." When a user requests this music file through the DisasterConnect app, the server sends the music file, allowing the user to play relaxing music and relieve psychological stress.

[0129] As an example of a specific prompt sentence, if a user asks the chatbot, "Please tell me where to evacuate," the server will generate a specific answer such as "The nearest evacuation site is XX Park" and provide it to the device.

[0130] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0131] Step 1: Starting and Configuring the Server

[0132] The server starts, with the Apache web server listening on port 80. Next, a MySQL database server is started for data management. The server then broadcasts a Wi-Fi access point called "disaster_network," with an SSID and password configured to allow devices within a certain range to connect.

[0133] Input: Power on the server

[0134] Output: Creating a local network and broadcasting an access point

[0135] Data processing: Reading the server configuration file and applying the network settings

[0136] Step 2: Connect your device

[0137] The device (user's smartphone or PC) connects to the "disaster_network" in its Wi-Fi settings and obtains a local IP address (e.g., 192.168.0.x) using DHCP. The device then launches the DisasterConnect app and attempts to communicate with the server's API (e.g., http: / / 192.168.0.1 / api).

[0138] Input: The user sets up a Wi-Fi connection on the device.

[0139] Output: The device gets a local IP address and connects to the server

[0140] Data processing: IP address assignment by DHCP server

[0141] Step 3: Caching disaster information

[0142] The server periodically (e.g., every hour) accesses the Yahoo! News API and the official APIs of local governments to obtain the latest disaster information. The obtained information is stored in JSON format in the "cache_data" table of the MySQL database.

[0143] Input: Server accesses API

[0144] Output: Latest disaster information is saved in the database

[0145] Data Calculation: Retrieving data from API and parsing JSON

[0146] Step 4: Provide information

[0147] When a device requests disaster information, the server retrieves the latest information from the "cache_data" table in the MySQL database and responds to the device in JSON format.

[0148] Input: Request disaster information from the device

[0149] Output: Latest disaster information provided to the device

[0150] Data processing: Retrieving information from the database and generating JSON

[0151] Step 5: User-to-user communication

[0152] When user A enters and sends a message using the chat function, the server receives the message, identifies the IP address of the intended user, and forwards the message to that user. User B can then receive the message and reply.

[0153] Input: User A sends a message

[0154] Output: User B receives the message

[0155] Data processing: message storage and destination determination

[0156] Step 6: Generative AI support

[0157] When a user inputs a question into the chatbot (e.g., "What should I do next?"), the server's generative AI (e.g., OpenAI GPT-4) analyzes the question and generates an appropriate answer, which is then returned to the user.

[0158] Input: User question

[0159] Output: Generative AI answer

[0160] Data Computing: Natural Language Processing and Answer Generation

[0161] Step 7: Serve auto-generated content

[0162] The server generates relaxing music using generative AI (e.g., Jukedeck or Amper Music) and saves it as "relax_music.mp3." When a user requests this music, the server sends the music to the device, and the user can play the relaxing music.

[0163] Input: Request for music generation by generative AI

[0164] Output: Generate and deliver relaxing music files

[0165] Data processing: Music file generation and streaming

[0166] (Application example 1)

[0167] 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."

[0168] During a disaster, the lack of communication methods, the rapid provision of information, and the reduction of users' psychological stress are issues. Internet connections are likely to be cut off during a disaster, so even in such cases, it is necessary to provide appropriate information and ensure communication between users. In addition, because users often feel anxiety and stress, support to reduce these feelings is also important.

[0169] 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.

[0170] In this invention, the server includes a means for sending and receiving data to multiple terminals connected within a local network, a chatbot using generative AI, a means for providing information, and a means for providing disaster information. This enables prompt and appropriate information provision even in situations where the Internet connection is interrupted, ensuring communication between users. Furthermore, support using generative AI can reduce user anxiety and alleviate psychological stress.

[0171] A "local server" is a device that is located on a municipal level and enables data transmission and reception within a local network even when an Internet connection is not possible.

[0172] A "local network" is a network that connects multiple terminals within a limited area and enables data communication.

[0173] A "terminal" is a device used by a user, such as a smartphone or computer, that includes an application for sending and receiving data from a local server.

[0174] "Generative AI" is an artificial intelligence technology that analyzes questions and instructions from users and generates appropriate responses and content.

[0175] A "chatbot" is a program that uses generative AI to interact with users and provide them with appropriate information.

[0176] "User-to-user message communication" is a function that allows users to send messages to each other via a local network.

[0177] "Means for automatically generating content" refers to a method that uses generative AI to automatically create relaxing content such as music and reading material in order to relieve users' psychological stress.

[0178] "Disaster information" refers to information such as the latest disaster-related news and warnings provided by municipalities.

[0179] The present invention provides a system for dealing with a lack of communication means in the event of a disaster, for providing information quickly, and for reducing the psychological stress of users. Specific embodiments of the system will be described below.

[0180] Hardware and software used

[0181] 1. Local servers: These are deployed in each city, town, or village and function as Wi-Fi access points. These servers are small Raspberry Pis with built-in Wi-Fi modules and storage.

[0182] 2. Device (user's smart device): iOS or ANDROID (registered trademark) device

[0183] 3. Software used:

[0184] Server side: Linux (registered trademark)-based server OS (e.g., Raspbian), Apache web server, MySQL database, AI module built with Python scripts (e.g., TENSORFLOW (registered trademark))

[0185] App side: Multi-platform mobile application development framework (e.g., Flutter (registered trademark), React Native)

[0186] Processing flow and functions

[0187] 1. Server configuration and user connections:

[0188] The server broadcasts Wi-Fi with the SSID "disaster_support." The user's smart device connects to this SSID and launches a dedicated application. The application obtains the server's IP address and attempts to connect.

[0189] 2. Acquisition of information:

[0190] The server stores pre-cached disaster information (e.g., news reports and official information from municipalities) and provides it to the device. Users can view this information through the application.

[0191] 3. User-to-User Communications:

[0192] User A sends a message to User B using the chat function of a dedicated app. The message is first sent to the server and then forwarded from the server to User B. Message communication between users is now possible.

[0193] 4. Generative AI support:

[0194] The user activates the chatbot function and inputs a question. For example, "Where is the evacuation shelter?" The generative AI on the server analyzes the question, generates an appropriate answer, and responds to the user. For example, the answer may be, "The nearest evacuation shelter is City Hall."

[0195] 5. Providing Auto-Generated Content:

[0196] The server uses generative AI to automatically generate relaxing content such as music, which is then sent to the user's device, allowing the user to use it to relieve psychological stress.

[0197] Specific examples

[0198] When a user views disaster information, a notification such as "Earthquake has occurred! Please check the emergency information" will be displayed within the application.

[0199] For generative AI support, an example prompt might look like this: "User asks: Where are the evacuation shelters?\nAppropriate response:"

[0200] In this way, the system of the present invention functions to ensure communication and information provision during disasters and to reduce anxiety and stress among users.

[0201] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0202] Step 1:

[0203] The server broadcasts Wi-Fi with the SSID "disaster_support". The user's device connects to this SSID and launches a dedicated application. The application obtains the server's IP address and attempts to connect. The input is the SSID broadcast and the device's connection request, and the output is the device connected to the local network.

[0204] Step 2:

[0205] When a device connects to the server, it starts acquiring disaster information. The server then provides the latest disaster information that it has cached in advance to the connected device. The input is the cached disaster information data, and the output is the disaster information displayed on the device.

[0206] Step 3:

[0207] A user sends a message to another user using the chat function of a dedicated app. The input is the message text entered by the user, and the output is the message sent via the server. The server receives this message and forwards it to the destination user.

[0208] Step 4:

[0209] A user activates the chatbot function using generative AI and inputs a question. The input is the user's question text, and the output is an appropriate response text generated by the generative AI. For example, if a user asks, "Where is the evacuation shelter?", the AI ​​will respond, "The nearest evacuation shelter is city hall."

[0210] Step 5:

[0211] The server uses generative AI to automatically generate relaxing content such as music. The input is the conditions for the generated content set on the server, and the output is the generated content (music, reading material, etc.). This content is sent to the device, and the user can listen to it to relieve stress.

[0212] 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.

[0213] This invention is a system that connects local servers located in each city, town, or village with multiple terminals via a local network, enabling information provision and communication between users even in situations where the Internet is down. Furthermore, it combines functions to reduce user anxiety using generative AI, functions to alleviate psychological stress with automatically generated content, and an emotion engine that recognizes user emotions.

[0214] Overall operation overview

[0215] 1. Server configuration:

[0216] The servers are located in each city, town, or village and function as Wi-Fi access points, providing information to devices connected via the local network even when the internet is down.

[0217] The server broadcasts Wi-Fi with the appropriate SSID and password, allowing devices within range to connect.

[0218] 2. User connection:

[0219] The device (user's smartphone or PC) launches a dedicated application and connects to the server's local network, allowing it to obtain disaster information and communicate with other users.

[0220] 3. Provision of Information:

[0221] The server will provide cached disaster information and news to devices even if the internet is down, even if the internet is unavailable. This information includes news and official information from local governments.

[0222] 4. User-to-User Communications:

[0223] Users can send messages to other users using a dedicated application. The message is first sent to the server and then forwarded to the destination user's device, ensuring real-time communication within the local network.

[0224] 5. Generative AI Support:

[0225] Users can use the chatbot function within the dedicated application to ask questions or ask for advice from the generative AI. The server uses the generative AI to generate appropriate answers to the user's questions. This function helps reduce anxiety during disasters.

[0226] 6. Emotion Recognition with Emotion Engine:

[0227] The device is equipped with an emotion engine that analyzes emotions from user input and voice data, and the analyzed emotion data is sent to the generative AI.

[0228] The server's generative AI responds appropriately to the user based on the emotional data obtained from the emotion engine. For example, if emotion analysis determines that the user is feeling strong anxiety, it generates a support message that corresponds to that emotion.

[0229] 7. Providing Auto-Generated Content:

[0230] The server automatically generates relaxing content such as music and reading material and provides it to the device, allowing users to use this content to relieve psychological stress.

[0231] Specific scenarios

[0232] Scenario 1: Building and connecting a local network

[0233] The server broadcasts Wi-Fi with the SSID "disaster_network".

[0234] The device connects to the "disaster_network" in the Wi-Fi settings and launches the dedicated application.

[0235] The application gets the server's IP address and attempts to connect.

[0236] Scenario 2: Obtaining Information

[0237] The server provides the latest disaster information that has been cached in advance to connected devices.

[0238] Users can view the latest news and disaster information through a dedicated application.

[0239] Scenario 3: User-to-User Communication

[0240] User A uses the chat function of a dedicated app to send a message to User B saying, "I'm heading to an evacuation site."

[0241] The server receives this message and forwards it to User B.

[0242] User B receives the message and replies.

[0243] Scenario 4: Generative AI support

[0244] The user launches the chatbot function and types a question: "What should I do next?"

[0245] The generative AI on the server analyzes the question, generates an appropriate answer, and responds to the user, for example, "Please go to an evacuation shelter and ensure your safety."

[0246] Scenario 5: Emotion recognition and response with an emotion engine

[0247] Users enter text or voice messages expressing their feelings within the app.

[0248] The device's built-in emotion engine analyzes the user's emotions from the input data and determines the level of anxiety and stress.

[0249] The server's generative AI generates a support message based on the user's emotional data and responds to them accordingly. For example, if the user is feeling very anxious, it generates a message such as "Try taking a deep breath in a relaxing place."

[0250] Scenario 6: Serving Auto-Generated Content

[0251] The server automatically generates relaxing music using generative AI.

[0252] The content is sent to the terminal, and the user plays relaxing music to relieve stress.

[0253] In this way, the present invention realizes a system that ensures communication and information provision during disasters, and furthermore, recognizes the user's emotions using an emotion engine and responds appropriately accordingly, thereby comprehensively reducing the user's anxiety and stress.

[0254] The processing flow will be explained below.

[0255] Step 1:

[0256] The server is enabled to function as a Wi-Fi access point and broadcasts Wi-Fi with a specific SSID and password.

[0257] What happens: The server starts the Wi-Fi module, sets up an SSID called "disaster_network", sets a password and allows the connection.

[0258] Step 2:

[0259] On the device, select "disaster_network" on the Wi-Fi settings screen and enter the specified password to connect.

[0260] How it works: Select "disaster_network" from your device's Wi-Fi list, enter the password and establish a connection.

[0261] Step 3:

[0262] The terminal starts a dedicated application and sends a connection request to the server.

[0263] How it works: The dedicated app obtains the server's IP address (e.g., 192.168.1.1) and sends a connection request using the connection protocol (e.g., HTTP / HTTPS).

[0264] Step 4:

[0265] The server receives the connection request and begins the authentication process.

[0266] Operation: The server verifies the user data, and if authentication is successful, it returns a response according to the request from the dedicated app.

[0267] Step 5:

[0268] The server provides the latest disaster information and news data that it has cached in advance to connected devices.

[0269] How it works: The server loads news and official information from the city or town from its cache and sends it to the device.

[0270] Step 6:

[0271] Users can send messages to other users using the chat function within the dedicated application.

[0272] Operation: User A enters a chat message and presses the "Send" button, and the message data is sent to the server.

[0273] Step 7:

[0274] The server receives a message from user A, identifies the destination user B, and forwards the message data.

[0275] Operation: The server obtains the IP address of the destination user B and sends the message to user B.

[0276] Step 8:

[0277] User B receives the message using a dedicated application and replies.

[0278] Action: User B reads the chat message, types a reply message if necessary, and sends it.

[0279] Step 9:

[0280] Users activate the chatbot function within the dedicated app and input their questions or inquiries into the generative AI.

[0281] What happens: The user types "What should I do next?" and presses the "Submit" button.

[0282] Step 10:

[0283] The server activates the generative AI, analyzes the user's question, generates an appropriate answer, and sends the response to the device.

[0284] How it works: The generative AI analyzes the question and generates an appropriate answer, such as "Go to an evacuation shelter and stay safe," which it returns to the user.

[0285] Step 11:

[0286] Users enter text or voice messages expressing their feelings within the app.

[0287] How it works: Emotion data is collected through the device's microphone or text input, and the emotion engine analyzes the data.

[0288] Step 12:

[0289] The device's built-in emotion engine analyzes the user's emotions from the input data and determines the level of anxiety and stress.

[0290] How it works: The emotion engine analyzes text and audio data and generates emotion tags such as "anxiety," "fear," and "relief."

[0291] Step 13:

[0292] The server's generative AI generates a response appropriate to the user's condition based on the emotional data sent from the emotion engine and sends it to the device.

[0293] How it works: Generative AI analyzes emotional data, generates support messages based on the emotion (e.g., "Try taking a deep breath in a relaxing place"), and responds to the user.

[0294] Step 14:

[0295] The server uses generative AI to automatically generate relaxing content such as music and reading material and provide it to the device.

[0296] How it works: Generative AI generates relaxing content in the background and sends it to your device as data.

[0297] Step 15:

[0298] The terminal receives the provided content, and the user plays or views the content.

[0299] Operation: Provides the received content data to the user through an app for playback and display.

[0300] Example 2

[0301] 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."

[0302] In recent years, there has been an increase in situations where Internet connections are unavailable due to natural disasters and emergency situations. Even in such situations, accurate and prompt information provision and communication between users are necessary. However, with current systems, sufficient information transmission and communication become difficult when Internet connections are cut off. Furthermore, technology to reduce user anxiety and stress during disasters is insufficient. A system that can solve these issues is needed.

[0303] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0304] In this invention, the server includes a local server located on a municipal level, multiple terminals connected within the local network, a terminal including an application for sending data to the local server and receiving data from the local server, a means for providing information via the local network even when an internet connection is unavailable, a chatbot means installed in the local server and using a generative AI model to reduce user anxiety, a means for communicating messages between users via the local server, a means for installing an emotion engine that recognizes user emotions and for the generative AI model to take appropriate action based on the data, a means for providing cached disaster information and news when the internet is available, and a means for automatically generating and providing users with content such as relaxing music and reading material. This enables accurate information to be provided and communication between users to take place even during disasters, regardless of whether the internet is down, thereby further reducing user anxiety and stress.

[0305] A "local server deployed at the municipal level" is hardware that is installed within a specific municipal area and is used to build a local network.

[0306] "Multiple terminals connected within a local network" refers to multiple user devices that are connected to the same local network and are capable of transmitting and receiving data to and from each other.

[0307] The "application for transmitting data to the local server and receiving data from the local server" is software that is installed on a user terminal and that communicates with the local server.

[0308] "Means for providing information via the local network even in situations where an Internet connection is not possible" refers to a function for delivering information to users via the local network even when the Internet is down.

[0309] "Chatbot means installed on the local server and using a generative AI model to reduce user anxiety" refers to an automatic response function built into the local server that uses a generative AI model to respond to user questions and inquiries.

[0310] The "means for communicating messages between users via the local server" refers to a mechanism for users to communicate via a local server in order to send and receive messages to each other.

[0311] "Equipped with an emotion engine that recognizes the user's emotions, and a means for the generative AI model to respond appropriately based on that data" refers to an engine for analyzing the user's emotions and a function that allows the generative AI model to generate an appropriate response based on the results of that analysis.

[0312] "Means for providing cached disaster information and news when the Internet is available" is a function that stores disaster information and news obtained when an Internet connection is available and provides it to users when the Internet is unavailable.

[0313] "Means for automatically generating content such as relaxing music and reading material and providing it to users" refers to a function that uses a generative AI model to automatically generate content such as relaxing music and reading material and delivers it to user devices.

[0314] This invention is a system that connects local servers located in each city, ward, town, or village with multiple terminals via a local network, enabling information provision and communication between users even in situations where the Internet is down. Furthermore, it combines functions to reduce user anxiety using a generative AI model, functions to alleviate psychological stress with automatically generated content, and an emotion engine that recognizes user emotions.

[0315] Hardware and Software Configuration

[0316] The servers are located in each city, town, or village. To provide a local network, they act as Wi-Fi access points (e.g., TP-Link Archer C7) and use local servers such as Synology NAS.

[0317] The terminal refers to the user's smartphone or PC, which functions as the interface between the user and the system.

[0318] The software includes dedicated applications (e.g., Custom Disaster App), emotion engines (e.g., Affectiva SDK), and generative AI engines (e.g., OpenAI GPT-3®).

[0319] Server Configuration

[0320] The server broadcasts Wi-Fi with the appropriate SSID (e.g., disaster_network) and password, allowing devices within range to connect.

[0321] User Connections

[0322] The user's device (smartphone or PC) connects to the disaster_network via Wi-Fi and launches a dedicated application, which obtains the server's IP address and attempts to connect.

[0323] Providing information

[0324] The server provides the latest cached disaster information when the Internet is available. For example, the server reads information from a news database stored in local storage and sends it to the device. Users can then view the latest news and disaster information through a dedicated application.

[0325] User-to-User Communication

[0326] Users send messages to other users using a dedicated application. The server receives the messages and forwards them to the destination users, realizing real-time communication. For example, if user A sends a message saying "I'm heading to an evacuation site," the message will be forwarded to user B via the server.

[0327] Generative AI support

[0328] Users can ask questions or ask for advice using the chatbot function within the dedicated application. The server's generative AI model analyzes the question and generates an appropriate answer. For example, in response to the question, "What should I do next?", the response would be, "Go to an evacuation shelter and ensure your safety."

[0329] Emotion recognition by emotion engine

[0330] The device is equipped with an emotion engine that analyzes emotions from the user's input data and voice data. This analyzed data is sent to the generative AI, which responds appropriately to the user based on the emotional data. For example, if the user is feeling anxious, it generates a support message such as, "Try taking a deep breath in a relaxing place."

[0331] Providing auto-generated content

[0332] The server uses a generative AI model to automatically generate relaxing music and reading material, which are then provided to the device, allowing users to play relaxing music to relieve stress.

[0333] Prompt Sentence Examples

[0334] "Please tell me what to do in the event of a disaster."

[0335] "Please let me know what preparations I need to make in this situation."

[0336] "Please tell me how to feel safe at the evacuation shelter."

[0337] The system of this invention provides accurate information and ensures communication between users during disasters through a local network, and also provides psychological support using an emotion engine and generative AI model, thereby realizing a mechanism to comprehensively reduce users' anxiety and stress.

[0338] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0339] Step 1:

[0340] Server-based Wi-Fi access point configuration

[0341] Input: SSID and password information contained in the local server's initial configuration file

[0342] What happens: The server loads the initial configuration file, sets the SSID to "disaster_network" and the password, then enables Wi-Fi broadcasting.

[0343] Output: The configured Wi-Fi access point "disaster_network" will be broadcast and devices within range will be able to connect.

[0344] Step 2:

[0345] Wi-Fi connection of user device

[0346] Input: Select the SSID and enter the password in the Wi-Fi settings of the user device

[0347] Specific operation: The device selects "disaster_network" from the Wi-Fi network list and connects by entering the set password.

[0348] Output: The device is connected to the local network.

[0349] Step 3:

[0350] Launching the dedicated application and attempting to connect to the server

[0351] Input: IP address information of the dedicated application installed on the device and the server

[0352] Specific operation: The user of the device launches a dedicated application, which obtains the server's IP address and attempts to connect.

[0353] Output: Communication between the device and the server is established.

[0354] Step 4:

[0355] Providing cached information from the server

[0356] Input: Pre-cached disaster information and news data

[0357] Specific operation: The server reads information from disaster information and news databases stored in local storage and sends it to the terminal via a dedicated application.

[0358] Output: Users can view the latest disaster information and news through a dedicated application on their device.

[0359] Step 5:

[0360] Sending and receiving messages between users

[0361] Input: Message data entered by the user into the dedicated application

[0362] Specific operation: When User A enters the message "Heading to an evacuation site" and presses the send button, the message data is sent to the server. The server receives the message data and forwards it to the intended User B.

[0363] Output: The message is displayed on User B's device and User B can reply to it.

[0364] Step 6:

[0365] Question analysis and answer generation using generative AI

[0366] Input: A question entered by a user into a chatbot within a dedicated application (e.g., "What should I do next?")

[0367] How it works: A user's question is sent to the server, the generative AI model analyzes the prompt and generates an appropriate answer, and the server returns the generated answer to the device.

[0368] Output: The user views the generated answer (e.g., "Go to a shelter and stay safe") in a dedicated app on their device.

[0369] Step 7:

[0370] Emotion analysis and response using an emotion engine

[0371] Input: User input or speech data (e.g., "I'm incredibly anxious").

[0372] How it works: The device's built-in emotion engine analyzes the user's emotions from text and voice data and sends the results to the server. The server's generative AI then generates an appropriate support message (e.g., "Try taking a deep breath in a relaxing place") based on the emotion data and sends it back to the device.

[0373] Output: The user receives a support message generated in a dedicated application on the device.

[0374] Step 8:

[0375] Providing auto-generated content

[0376] Input: User request data, generative AI model

[0377] How it works: Using a generative AI model on the server, it automatically generates relaxing content such as music and reading material, and sends the generated content to the device.

[0378] Output: The user relieves stress by using automatically generated relaxing music and reading material in a dedicated application on the device.

[0379] (Application example 2)

[0380] 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."

[0381] In situations where internet access is unavailable, the challenge is to provide a means for customers to communicate smoothly with each other and with store staff in physical stores, while also reducing customer anxiety and stress. It is also necessary to provide appropriate information in response to rapidly changing situations, providing customers with a sense of security.

[0382] 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.

[0383] In this invention, the server includes a local server located on a municipality basis, a plurality of terminals connected within a local network, a terminal including an application for sending data to the local server and receiving data from the local server, a means for providing information via the local network even when an internet connection is unavailable, a chatbot means installed in the local server and using a generative AI model to reduce user anxiety, a means for communicating messages between users via the local server, a means for automatically generating content and providing it to users, an emotion engine for analyzing user emotions and determining the level of anxiety, a means for generating answers using the generative AI model based on questions entered by users, and a means for providing the generated answers and support messages to the terminals. This enables information provision and communication within a physical store even when an internet connection is unavailable, thereby comprehensively reducing customer anxiety and stress.

[0384] A "local server" is a server that is located on a city, ward, town, or village basis and is connected to multiple terminals within a local network.

[0385] A "local network" is a network that allows terminals connected within a specific area to communicate with each other.

[0386] A "terminal" is a device that can send and receive data from the local server.

[0387] An "application" is software that is installed on the terminal and exchanges data with a local server.

[0388] A "generative AI model" is a model that uses artificial intelligence technology to generate appropriate answers to user questions or input.

[0389] A "chatbot" is software that uses generative AI models to assist users in interacting with the system.

[0390] "Messaging" refers to the act of sending and receiving text and voice information between users via a local server.

[0391] "Content generation" refers to the process of using generative AI models to automatically create information and entertainment for users.

[0392] An "emotion engine" is software that analyzes a user's emotions and determines the level of anxiety or stress.

[0393] A "prompt sentence" is the input text that a generative AI model uses to answer a question from a user.

[0394] The system for implementing the present invention comprises a local server located at each municipality, multiple terminals connected to the local network, and terminals that include an application for sending and receiving data to the local server. This system provides information through the local network even in situations where an Internet connection is not possible, and supports communication between users.

[0395] Hardware and software used

[0396] Hardware: Local servers (in-store Wi-Fi routers and server machines), smartphones, PCs

[0397] Software: Python program, socket module, threading module, emotion engine, generative AI model (e.g., Hugging Face's Transformers library)

[0398] Details of data processing and calculation

[0399] Local Server Configuration

[0400] The local server broadcasts Wi-Fi by setting an appropriate SSID and password for each city, town, or village, allowing devices within range to connect to the server. The local server manages the sending and receiving of data between multiple connected devices and supports messaging between users.

[0401] User Connections

[0402] Users connect to the local network through the Wi-Fi settings on their smartphones or PCs and launch a dedicated application, through which they can receive the latest news and disaster information from the server and exchange messages with other users.

[0403] Supported by generative AI models

[0404] Users can use the chatbot function within the application to ask questions or consult with the generative AI model. The local server sends the user's question to the generative AI model, which then generates an appropriate answer and provides it to the user. This function helps reduce anxiety during disasters.

[0405] Emotion recognition by emotion engine

[0406] The text and voice data entered by the user is analyzed by the device's built-in emotion engine. The emotion engine analyzes the user's emotions and determines the level of anxiety and stress. The analysis results are sent to a generative AI model, which then responds appropriately based on the user's emotional state.

[0407] Providing auto-generated content

[0408] The local server uses a generative AI model to automatically generate relaxing content such as music and reading material, which is then delivered to the device and used by the user to relieve psychological stress.

[0409] Specific scenarios

[0410] Scenario 1: Building and connecting a local network

[0411] The server broadcasts Wi-Fi with the SSID "disaster_network." Devices connect to the server by connecting to "disaster_network" in their Wi-Fi settings and launching a dedicated application.

[0412] Scenario 2: Obtaining Information

[0413] The server provides the latest cached disaster information to the device when the internet is available, and users can view the latest news and disaster information through a dedicated application.

[0414] Scenario 3: User-to-User Communication

[0415] User A uses the chat function to send a message to User B saying, "I'm heading to an evacuation site." The server receives this message and forwards it to User B. Communication is established when User B receives the message and replies.

[0416] Scenario 4: Supported by generative AI models

[0417] The user activates the chatbot function and inputs a question such as, "What should I do next?" The server's generative AI model analyzes this question and generates an appropriate response, such as, "Go to an evacuation shelter and ensure your safety," which is provided to the user.

[0418] Scenario 5: Emotion recognition and response with an emotion engine

[0419] When a user inputs a text or voice message, it is analyzed by the emotion engine to determine the level of anxiety or stress. Based on this, the generative AI model generates an appropriate support message and provides it to the user. For example, it generates a message such as, "Try taking a deep breath in a relaxing place."

[0420] Scenario 6: Serving Auto-Generated Content

[0421] The local server automatically generates relaxing music using a generative AI model and transmits the content to the device, where the user can play the relaxing music to relieve psychological stress.

[0422] Prompt Sentence Examples

[0423] "What should I do next?"

[0424] "What are the current evacuation orders?"

[0425] "I'm so stressed I don't know what to do, please give me some advice."

[0426] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0427] Step 1:

[0428] The server broadcasts Wi-Fi by city, town, or district with the appropriate SSID and password, allowing devices within range to connect to the server. The input is the server's initial configuration data, and the output is the broadcast of the Wi-Fi network. This step configures and starts the Wi-Fi router.

[0429] Step 2:

[0430] The user connects to a local network from the Wi-Fi settings of their smartphone or PC and launches a dedicated application. The input includes the user's Wi-Fi connection settings and application launch operation, and the output is the smartphone or PC connected to the local network. In this step, the device connects to Wi-Fi and the application is initialized.

[0431] Step 3:

[0432] The terminal starts communication with the server via the local network. The server assigns a unique ID to each connected terminal. The input is the connection request and authentication information from the terminal, and the output is the unique ID assigned to the terminal and a message confirming the connection establishment. This step involves network authentication and connection management.

[0433] Step 4:

[0434] The user requests the latest news or disaster information through a dedicated application. The server provides the latest cached disaster information when the Internet is available. The input is the user's information request and the server's cached data, and the output is the latest news or disaster information. In this step, information is searched from the database and the data is sent to the user.

[0435] Step 5:

[0436] The user uses the chatbot function within the application to ask questions or ask the generative AI model for advice. The server sends the question data to the generative AI model and obtains a response. The input is the question text and prompt sentence from the user, and the output is the generated response text. In this step, natural language processing and response generation by the generative AI model take place.

[0437] Step 6:

[0438] The generated response text is sent to the user's device and displayed. The input is the response text from the generative AI model, and the output is the response text displayed on the user's screen. In this step, the text message is sent and displayed.

[0439] Step 7:

[0440] The user inputs a text or voice message, which is then analyzed by the device's built-in emotion engine. The input is emotion data (text or voice) from the user, and the output is the analyzed emotion data. In this step, the emotion data is analyzed and evaluated.

[0441] Step 8:

[0442] The analysis results obtained from the emotion engine are sent to the generative AI model, which generates an appropriate response message according to the user's emotional state. The input is the analyzed emotion data, and the output is the response message generated by the generative AI model. In this step, a response is generated based on the emotion data.

[0443] Step 9:

[0444] The server uses a generative AI model to automatically generate relaxing content such as music or reading material and deliver it to the device. The input is the user's request or prompt, and the output is music files or text content. In this step, content generation and delivery take place.

[0445] Step 10:

[0446] The user plays relaxation content on the device to relieve psychological stress. The input is the relaxation content delivered from the server, and the output is the user's relaxation experience. In this step, the content is played and used.

[0447] 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.

[0448] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (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.

[0449] 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.

[0450] [Second embodiment]

[0451] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0452] 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.

[0453] 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).

[0454] 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.

[0455] 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.

[0456] 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).

[0457] 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.

[0458] 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.

[0459] 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.

[0460] 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.

[0461] 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.

[0462] 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."

[0463] This invention is a system that connects local servers located in each city, ward, town, or village with multiple terminals via a local network, enabling information provision and communication between users even when the Internet is down. Furthermore, it provides functions to reduce user anxiety using generative AI and to alleviate psychological stress with automatically generated content.

[0464] Overall operation overview

[0465] 1. Server configuration:

[0466] The servers are located in each city, town, or village and function as Wi-Fi access points, providing information to devices connected via the local network even when the internet is down.

[0467] The server broadcasts Wi-Fi with the appropriate SSID and password, allowing devices within range to connect.

[0468] 2. User connection:

[0469] The device (user's smartphone or PC) launches a dedicated application and connects to the server's local network, allowing it to obtain disaster information and communicate with other users.

[0470] 3. Provision of Information:

[0471] The server will provide cached disaster information and news, such as Yahoo! News and official information from local municipalities, to devices even if the internet is down.

[0472] 4. User-to-User Communications:

[0473] Users can send messages to other users using a dedicated application. The message is first sent to the server and then forwarded to the destination user's device, ensuring real-time communication within the local network.

[0474] 5. Generative AI Support:

[0475] Users can use the chatbot function within the dedicated application to ask questions or ask for advice from the generative AI. The server uses the generative AI to generate appropriate answers to the user's questions. This function helps reduce anxiety during disasters.

[0476] 6. Providing Auto-Generated Content:

[0477] The server automatically generates relaxing content such as music and reading material and provides it to the device, allowing users to use this content to relieve psychological stress.

[0478] Specific scenarios

[0479] Scenario 1: Building and connecting a local network

[0480] The server broadcasts Wi-Fi with the SSID "disaster_network".

[0481] The device connects to the "disaster_network" in the Wi-Fi settings and launches the dedicated application.

[0482] The application gets the server's IP address and attempts to connect.

[0483] Scenario 2: Obtaining Information

[0484] The server provides the latest disaster information that has been cached in advance to connected devices.

[0485] Users can view the latest news and disaster information through a dedicated application.

[0486] Scenario 3: User-to-User Communication

[0487] User A uses the chat function of a dedicated app to send a message to User B saying, "I'm heading to an evacuation site."

[0488] The server receives this message and forwards it to User B.

[0489] User B receives the message and can reply.

[0490] Scenario 4: Generative AI support

[0491] The user launches the chatbot function and types a question: "What should I do next?"

[0492] The generative AI on the server analyzes the question, generates an appropriate answer, and responds to the user, for example, "Please go to an evacuation shelter and ensure your safety."

[0493] Scenario 5: Serving Auto-Generated Content

[0494] The server automatically generates relaxing music using generative AI.

[0495] The content is sent to the terminal, and the user plays relaxing music to relieve stress.

[0496] In this way, the present invention realizes a comprehensive system for ensuring communication and information provision in the event of a disaster, and for reducing users' anxiety and stress.

[0497] The processing flow will be explained below.

[0498] Step 1:

[0499] The server is enabled to function as a Wi-Fi access point and broadcasts Wi-Fi with a specific SSID and password.

[0500] What happens: The server starts the Wi-Fi module, sets up an SSID called "disaster_network", and allows the connection.

[0501] Step 2:

[0502] On the device, select "disaster_network" on the Wi-Fi settings screen and enter the specified password to connect.

[0503] How it works: Select "disaster_network" from your device's Wi-Fi list, enter the password and establish a connection.

[0504] Step 3:

[0505] The terminal starts a dedicated application and sends a connection request to the server.

[0506] How it works: The dedicated app obtains the server's IP address (e.g., 192.168.1.1) and sends a connection request using the connection protocol (e.g., HTTP / HTTPS).

[0507] Step 4:

[0508] The server receives the connection request and begins the authentication process.

[0509] Operation: The server verifies the user data, and if authentication is successful, it returns a response according to the request from the dedicated app.

[0510] Step 5:

[0511] The server provides the latest disaster information and news data that it has cached in advance to connected devices.

[0512] How it works: The server loads official information from Yahoo! News and local municipalities from its cache and sends it to the device.

[0513] Step 6:

[0514] Users can send messages to other users using the chat function within the dedicated application.

[0515] Operation: User A enters a chat message and presses the "Send" button, and the message data is sent to the server.

[0516] Step 7:

[0517] The server receives a message from user A, identifies the destination user B, and forwards the message data.

[0518] Operation: The server obtains the IP address of the destination user B and sends the message to user B.

[0519] Step 8:

[0520] User B receives the message using a dedicated application and replies.

[0521] Action: User B reads the chat message, types a reply message if necessary, and sends it.

[0522] Step 9:

[0523] Users activate the chatbot function within the dedicated app and input their questions or inquiries into the generative AI.

[0524] What happens: The user types "What should I do next?" and presses the "Submit" button.

[0525] Step 10:

[0526] The server activates the generative AI, analyzes the user's question, generates an appropriate answer, and sends the response to the device.

[0527] How it works: The generative AI analyzes the question and generates an appropriate answer, such as "Go to an evacuation shelter and stay safe," which it returns to the user.

[0528] Step 11:

[0529] The server uses generative AI to automatically generate relaxing content such as music and reading material and provide it to the device.

[0530] How it works: Generative AI generates content in the background and sends the data to the user's device.

[0531] Step 12:

[0532] The terminal receives the provided content, and the user plays or views the content.

[0533] Operation: Provides the received content data to the user through an app for playback and display.

[0534] Example 1

[0535] 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."

[0536] There is a need for a system that allows residents to obtain necessary information and communicate with each other even in situations where internet connection is not possible due to disasters, network failures, etc. There is also a need for a means to reduce anxiety and relieve psychological stress during disasters.

[0537] 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.

[0538] In this invention, the server includes a local server located on a municipality basis, a plurality of terminals connected within a local network, a terminal including an application for sending data to the local server and receiving data from the local server, a means for providing information via the local network even when an Internet connection is unavailable, a chatbot means installed in the local server and using generative AI to reduce user anxiety, a means for communicating messages between users via the local server, a means for automatically generating content and providing it to users, a means for the local server to forward messages received from user terminals to destination terminals, and a means for the local server to automatically generate content such as relaxing music and reading material and provide it to users. This enables the provision of necessary information and communication between users even when an Internet connection is unavailable, and further reduces user anxiety and psychological stress.

[0539] A "local server" is a server that is installed at the municipal level and functions within a local network.

[0540] A "terminal" is a device used by a user, such as a smartphone or PC, that is connected to a server via a local network.

[0541] An "application" is software that is installed on a terminal and is used to send and receive data to and from a local server.

[0542] A "local network" is a network that is interconnected within a certain range and allows for the provision of information and communication even in situations where an Internet connection is not possible.

[0543] "Generative AI" is a type of artificial intelligence, a system that generates appropriate responses to users' questions and inquiries.

[0544] A "chatbot tool" is interactive software that uses generative AI to reduce user anxiety.

[0545] "Message communication" refers to the act of exchanging text messages between users, and is carried out via a local server.

[0546] "Auto-generated content" refers to content such as music or reading material that is automatically created using generative AI.

[0547] "Disaster information" refers to emergency information and news data provided in the event of a disaster, and is information necessary to ensure the safety of users.

[0548] "Cache" is a means of temporarily storing data, and is a mechanism that allows information to be provided quickly even when an Internet connection is not possible.

[0549] This invention is a system that connects local servers located in each city, ward, town, or village with multiple terminals via a local network, enabling information provision and communication between users even when the Internet is down. Furthermore, it provides functions to reduce user anxiety using generative AI and to alleviate psychological stress with automatically generated content.

[0550] First, servers are installed at the municipal level, and the main hardware used is a standard server device and a Wi-Fi access point device. Specifically, an Apache web server is configured to listen on port 80, and a MySQL database server is used for data management. A commercially available Wi-Fi router is used as the Wi-Fi access point, and the SSID "disaster_network" is set.

[0551] A dedicated application (e.g., the DisasterConnect app) is installed on the device (user's smartphone or PC), and by launching the application, the device connects to the local network. The device obtains the server's local IP address (e.g., 192.168.0.1) via DHCP, and accesses the server's management interface through the application.

[0552] The server caches disaster information and news in advance when the internet is available. Information is obtained from the Yahoo! News API and official city and town APIs and stored in a MySQL database in JSON format. Even if the internet is down, the server will provide the cached information to user devices.

[0553] As a concrete example, the server accesses the Yahoo! News API to retrieve the latest disaster information every hour. This information is stored in the "cache_data" table in the MySQL database and provided to the device as needed. For example, when a user clicks the "Get the latest disaster information" button in the DisasterConnect app, the server retrieves the latest information from the "cache_data" table and returns it to the device in JSON format.

[0554] Message communication between users can also take place within the local network. When user A types a message such as "I'm heading to an evacuation site" and presses the send button, the server receives this message and identifies the terminal address of the destination user (user B). The server then forwards the message to user B, who can receive and reply.

[0555] In addition, a chatbot function using generative AI is also provided. When a user inputs a question into the chatbot, such as "What should I do next?", the server-side generative AI (e.g., OpenAI GPT-4) analyzes the question and generates an appropriate answer. For example, a response such as "Please go to an evacuation shelter and ensure your safety" is generated and sent to the user.

[0556] Finally, automatically generated content such as relaxing music and reading material is provided. The server generates relaxing music using generative AI (e.g., Jukedeck or Amper Music) and saves it as "relax_music.mp3." When a user requests this music file through the DisasterConnect app, the server sends the music file, allowing the user to play relaxing music and relieve psychological stress.

[0557] As an example of a specific prompt sentence, if a user asks the chatbot, "Please tell me where to evacuate," the server will generate a specific answer such as "The nearest evacuation site is XX Park" and provide it to the device.

[0558] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0559] Step 1: Starting and Configuring the Server

[0560] The server starts, with the Apache web server listening on port 80. Next, a MySQL database server is started for data management. The server then broadcasts a Wi-Fi access point called "disaster_network," with an SSID and password configured to allow devices within a certain range to connect.

[0561] Input: Power on the server

[0562] Output: Creating a local network and broadcasting an access point

[0563] Data processing: Reading the server configuration file and applying the network settings

[0564] Step 2: Connect your device

[0565] The device (user's smartphone or PC) connects to the "disaster_network" in its Wi-Fi settings and obtains a local IP address (e.g., 192.168.0.x) using DHCP. The device then launches the DisasterConnect app and attempts to communicate with the server's API (e.g., http: / / 192.168.0.1 / api).

[0566] Input: The user sets up a Wi-Fi connection on the device.

[0567] Output: The device gets a local IP address and connects to the server

[0568] Data processing: IP address assignment by DHCP server

[0569] Step 3: Caching disaster information

[0570] The server periodically (e.g., every hour) accesses the Yahoo! News API and the official APIs of local governments to obtain the latest disaster information. The obtained information is stored in JSON format in the "cache_data" table of the MySQL database.

[0571] Input: Server accesses API

[0572] Output: Latest disaster information is saved in the database

[0573] Data Calculation: Retrieving data from API and parsing JSON

[0574] Step 4: Provide information

[0575] When a device requests disaster information, the server retrieves the latest information from the "cache_data" table in the MySQL database and responds to the device in JSON format.

[0576] Input: Request disaster information from the device

[0577] Output: Latest disaster information provided to the device

[0578] Data processing: Retrieving information from the database and generating JSON

[0579] Step 5: User-to-user communication

[0580] When user A enters and sends a message using the chat function, the server receives the message, identifies the IP address of the intended user, and forwards the message to that user. User B can then receive the message and reply.

[0581] Input: User A sends a message

[0582] Output: User B receives the message

[0583] Data processing: message storage and destination determination

[0584] Step 6: Generative AI support

[0585] When a user inputs a question into the chatbot (e.g., "What should I do next?"), the server's generative AI (e.g., OpenAI GPT-4) analyzes the question and generates an appropriate answer, which is then returned to the user.

[0586] Input: User question

[0587] Output: Generative AI answer

[0588] Data Computing: Natural Language Processing and Answer Generation

[0589] Step 7: Serve auto-generated content

[0590] The server generates relaxing music using generative AI (e.g., Jukedeck or Amper Music) and saves it as "relax_music.mp3." When a user requests this music, the server sends the music to the device, and the user can play the relaxing music.

[0591] Input: Request for music generation by generative AI

[0592] Output: Generate and deliver relaxing music files

[0593] Data processing: Music file generation and streaming

[0594] (Application example 1)

[0595] 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."

[0596] During a disaster, the lack of communication methods, the rapid provision of information, and the reduction of users' psychological stress are issues. Internet connections are likely to be cut off during a disaster, so even in such cases, it is necessary to provide appropriate information and ensure communication between users. In addition, because users often feel anxiety and stress, support to reduce these feelings is also important.

[0597] 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.

[0598] In this invention, the server includes a means for sending and receiving data to multiple terminals connected within a local network, a chatbot using generative AI, a means for providing information, and a means for providing disaster information. This enables prompt and appropriate information provision even in situations where the Internet connection is interrupted, ensuring communication between users. Furthermore, support using generative AI can reduce user anxiety and alleviate psychological stress.

[0599] A "local server" is a device that is located on a municipal level and enables data transmission and reception within a local network even when an Internet connection is not possible.

[0600] A "local network" is a network that connects multiple terminals within a limited area and enables data communication.

[0601] A "terminal" is a device used by a user, such as a smartphone or computer, that includes an application for sending and receiving data from a local server.

[0602] "Generative AI" is an artificial intelligence technology that analyzes questions and instructions from users and generates appropriate responses and content.

[0603] A "chatbot" is a program that uses generative AI to interact with users and provide them with appropriate information.

[0604] "User-to-user message communication" is a function that allows users to send messages to each other via a local network.

[0605] "Means for automatically generating content" refers to a method that uses generative AI to automatically create relaxing content such as music and reading material in order to relieve users' psychological stress.

[0606] "Disaster information" refers to information such as the latest disaster-related news and warnings provided by municipalities.

[0607] The present invention provides a system for dealing with a lack of communication means in the event of a disaster, for providing information quickly, and for reducing the psychological stress of users. Specific embodiments of the system will be described below.

[0608] Hardware and software used

[0609] 1. Local servers: These are deployed in each city, town, or village and function as Wi-Fi access points. These servers are small Raspberry Pis with built-in Wi-Fi modules and storage.

[0610] 2. Device (user's smart device): iOS or Android device

[0611] 3. Software used:

[0612] Server side: Linux-based server OS (e.g., Raspbian), Apache web server, MySQL database, AI modules built with Python scripts (e.g., TensorFlow)

[0613] App side: Multi-platform mobile application development framework (e.g., Flutter, React Native)

[0614] Processing flow and functions

[0615] 1. Server configuration and user connections:

[0616] The server broadcasts Wi-Fi with the SSID "disaster_support." The user's smart device connects to this SSID and launches a dedicated application. The application obtains the server's IP address and attempts to connect.

[0617] 2. Acquisition of information:

[0618] The server stores pre-cached disaster information (e.g., news reports and official information from municipalities) and provides it to the device. Users can view this information through the application.

[0619] 3. User-to-User Communications:

[0620] User A sends a message to User B using the chat function of a dedicated app. The message is first sent to the server and then forwarded from the server to User B. Message communication between users is now possible.

[0621] 4. Generative AI support:

[0622] The user activates the chatbot function and inputs a question. For example, "Where is the evacuation shelter?" The generative AI on the server analyzes the question, generates an appropriate answer, and responds to the user. For example, the answer may be, "The nearest evacuation shelter is City Hall."

[0623] 5. Providing Auto-Generated Content:

[0624] The server uses generative AI to automatically generate relaxing content such as music, which is then sent to the user's device, allowing the user to use it to relieve psychological stress.

[0625] Specific examples

[0626] When a user views disaster information, a notification such as "Earthquake has occurred! Please check the emergency information" will be displayed within the application.

[0627] For generative AI support, an example prompt might look like this: "User asks: Where are the evacuation shelters?\nAppropriate response:"

[0628] In this way, the system of the present invention functions to ensure communication and information provision during disasters and to reduce anxiety and stress among users.

[0629] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0630] Step 1:

[0631] The server broadcasts Wi-Fi with the SSID "disaster_support". The user's device connects to this SSID and launches a dedicated application. The application obtains the server's IP address and attempts to connect. The input is the SSID broadcast and the device's connection request, and the output is the device connected to the local network.

[0632] Step 2:

[0633] When a device connects to the server, it starts acquiring disaster information. The server then provides the latest disaster information that it has cached in advance to the connected device. The input is the cached disaster information data, and the output is the disaster information displayed on the device.

[0634] Step 3:

[0635] A user sends a message to another user using the chat function of a dedicated app. The input is the message text entered by the user, and the output is the message sent via the server. The server receives this message and forwards it to the destination user.

[0636] Step 4:

[0637] A user activates the chatbot function using generative AI and inputs a question. The input is the user's question text, and the output is an appropriate response text generated by the generative AI. For example, if a user asks, "Where is the evacuation shelter?", the AI ​​will respond, "The nearest evacuation shelter is city hall."

[0638] Step 5:

[0639] The server uses generative AI to automatically generate relaxing content such as music. The input is the conditions for the generated content set on the server, and the output is the generated content (music, reading material, etc.). This content is sent to the device, and the user can listen to it to relieve stress.

[0640] 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.

[0641] This invention is a system that connects local servers located in each city, town, or village with multiple terminals via a local network, enabling information provision and communication between users even in situations where the Internet is down. Furthermore, it combines functions to reduce user anxiety using generative AI, functions to alleviate psychological stress with automatically generated content, and an emotion engine that recognizes user emotions.

[0642] Overall operation overview

[0643] 1. Server configuration:

[0644] The servers are located in each city, town, or village and function as Wi-Fi access points, providing information to devices connected via the local network even when the internet is down.

[0645] The server broadcasts Wi-Fi with the appropriate SSID and password, allowing devices within range to connect.

[0646] 2. User connection:

[0647] The device (user's smartphone or PC) launches a dedicated application and connects to the server's local network, allowing it to obtain disaster information and communicate with other users.

[0648] 3. Provision of Information:

[0649] The server will provide cached disaster information and news to devices even if the internet is down, even if the internet is unavailable. This information includes news and official information from local governments.

[0650] 4. User-to-User Communications:

[0651] Users can send messages to other users using a dedicated application. The message is first sent to the server and then forwarded to the destination user's device, ensuring real-time communication within the local network.

[0652] 5. Generative AI Support:

[0653] Users can use the chatbot function within the dedicated application to ask questions or ask for advice from the generative AI. The server uses the generative AI to generate appropriate answers to the user's questions. This function helps reduce anxiety during disasters.

[0654] 6. Emotion Recognition with Emotion Engine:

[0655] The device is equipped with an emotion engine that analyzes emotions from user input and voice data, and the analyzed emotion data is sent to the generative AI.

[0656] The server's generative AI responds appropriately to the user based on the emotional data obtained from the emotion engine. For example, if emotion analysis determines that the user is feeling strong anxiety, it generates a support message that corresponds to that emotion.

[0657] 7. Providing Auto-Generated Content:

[0658] The server automatically generates relaxing content such as music and reading material and provides it to the device, allowing users to use this content to relieve psychological stress.

[0659] Specific scenarios

[0660] Scenario 1: Building and connecting a local network

[0661] The server broadcasts Wi-Fi with the SSID "disaster_network".

[0662] The device connects to the "disaster_network" in the Wi-Fi settings and launches the dedicated application.

[0663] The application gets the server's IP address and attempts to connect.

[0664] Scenario 2: Obtaining Information

[0665] The server provides the latest disaster information that has been cached in advance to connected devices.

[0666] Users can view the latest news and disaster information through a dedicated application.

[0667] Scenario 3: User-to-User Communication

[0668] User A uses the chat function of a dedicated app to send a message to User B saying, "I'm heading to an evacuation site."

[0669] The server receives this message and forwards it to User B.

[0670] User B receives the message and replies.

[0671] Scenario 4: Generative AI support

[0672] The user launches the chatbot function and types a question: "What should I do next?"

[0673] The generative AI on the server analyzes the question, generates an appropriate answer, and responds to the user, for example, "Please go to an evacuation shelter and ensure your safety."

[0674] Scenario 5: Emotion recognition and response with an emotion engine

[0675] Users enter text or voice messages expressing their feelings within the app.

[0676] The device's built-in emotion engine analyzes the user's emotions from the input data and determines the level of anxiety and stress.

[0677] The server's generative AI generates a support message based on the user's emotional data and responds to them accordingly. For example, if the user is feeling very anxious, it generates a message such as "Try taking a deep breath in a relaxing place."

[0678] Scenario 6: Serving Auto-Generated Content

[0679] The server automatically generates relaxing music using generative AI.

[0680] The content is sent to the terminal, and the user plays relaxing music to relieve stress.

[0681] In this way, the present invention realizes a system that ensures communication and information provision during disasters, and furthermore, recognizes the user's emotions using an emotion engine and responds appropriately accordingly, thereby comprehensively reducing the user's anxiety and stress.

[0682] The processing flow will be explained below.

[0683] Step 1:

[0684] The server is enabled to function as a Wi-Fi access point and broadcasts Wi-Fi with a specific SSID and password.

[0685] What happens: The server starts the Wi-Fi module, sets up an SSID called "disaster_network", sets a password and allows the connection.

[0686] Step 2:

[0687] On the device, select "disaster_network" on the Wi-Fi settings screen and enter the specified password to connect.

[0688] How it works: Select "disaster_network" from your device's Wi-Fi list, enter the password and establish a connection.

[0689] Step 3:

[0690] The terminal starts a dedicated application and sends a connection request to the server.

[0691] How it works: The dedicated app obtains the server's IP address (e.g., 192.168.1.1) and sends a connection request using the connection protocol (e.g., HTTP / HTTPS).

[0692] Step 4:

[0693] The server receives the connection request and begins the authentication process.

[0694] Operation: The server verifies the user data, and if authentication is successful, it returns a response according to the request from the dedicated app.

[0695] Step 5:

[0696] The server provides the latest disaster information and news data that it has cached in advance to connected devices.

[0697] How it works: The server loads news and official information from the city or town from its cache and sends it to the device.

[0698] Step 6:

[0699] Users can send messages to other users using the chat function within the dedicated application.

[0700] Operation: User A enters a chat message and presses the "Send" button, and the message data is sent to the server.

[0701] Step 7:

[0702] The server receives a message from user A, identifies the destination user B, and forwards the message data.

[0703] Operation: The server obtains the IP address of the destination user B and sends the message to user B.

[0704] Step 8:

[0705] User B receives the message using a dedicated application and replies.

[0706] Action: User B reads the chat message, types a reply message if necessary, and sends it.

[0707] Step 9:

[0708] Users activate the chatbot function within the dedicated app and input their questions or inquiries into the generative AI.

[0709] What happens: The user types "What should I do next?" and presses the "Submit" button.

[0710] Step 10:

[0711] The server activates the generative AI, analyzes the user's question, generates an appropriate answer, and sends the response to the device.

[0712] How it works: The generative AI analyzes the question and generates an appropriate answer, such as "Go to an evacuation shelter and stay safe," which it returns to the user.

[0713] Step 11:

[0714] Users enter text or voice messages expressing their feelings within the app.

[0715] How it works: Emotion data is collected through the device's microphone or text input, and the emotion engine analyzes the data.

[0716] Step 12:

[0717] The device's built-in emotion engine analyzes the user's emotions from the input data and determines the level of anxiety and stress.

[0718] How it works: The emotion engine analyzes text and audio data and generates emotion tags such as "anxiety," "fear," and "relief."

[0719] Step 13:

[0720] The server's generative AI generates a response appropriate to the user's condition based on the emotional data sent from the emotion engine and sends it to the device.

[0721] How it works: Generative AI analyzes emotional data, generates support messages based on the emotion (e.g., "Try taking a deep breath in a relaxing place"), and responds to the user.

[0722] Step 14:

[0723] The server uses generative AI to automatically generate relaxing content such as music and reading material and provide it to the device.

[0724] How it works: Generative AI generates relaxing content in the background and sends it to your device as data.

[0725] Step 15:

[0726] The terminal receives the provided content, and the user plays or views the content.

[0727] Operation: Provides the received content data to the user through an app for playback and display.

[0728] Example 2

[0729] 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."

[0730] In recent years, there has been an increase in situations where Internet connections are unavailable due to natural disasters and emergency situations. Even in such situations, accurate and prompt information provision and communication between users are necessary. However, with current systems, sufficient information transmission and communication become difficult when Internet connections are cut off. Furthermore, technology to reduce user anxiety and stress during disasters is insufficient. A system that can solve these issues is needed.

[0731] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0732] In this invention, the server includes a local server located on a municipal level, multiple terminals connected within the local network, a terminal including an application for sending data to the local server and receiving data from the local server, a means for providing information via the local network even when an internet connection is unavailable, a chatbot means installed in the local server and using a generative AI model to reduce user anxiety, a means for communicating messages between users via the local server, a means for installing an emotion engine that recognizes user emotions and for the generative AI model to take appropriate action based on the data, a means for providing cached disaster information and news when the internet is available, and a means for automatically generating and providing users with content such as relaxing music and reading material. This enables accurate information to be provided and communication between users to take place even during disasters, regardless of whether the internet is down, thereby further reducing user anxiety and stress.

[0733] A "local server deployed at the municipal level" is hardware that is installed within a specific municipal area and is used to build a local network.

[0734] "Multiple terminals connected within a local network" refers to multiple user devices that are connected to the same local network and are capable of transmitting and receiving data to and from each other.

[0735] The "application for transmitting data to the local server and receiving data from the local server" is software that is installed on a user terminal and that communicates with the local server.

[0736] "Means for providing information via the local network even in situations where an Internet connection is not possible" refers to a function for delivering information to users via the local network even when the Internet is down.

[0737] "Chatbot means installed on the local server and using a generative AI model to reduce user anxiety" refers to an automatic response function built into the local server that uses a generative AI model to respond to user questions and inquiries.

[0738] The "means for communicating messages between users via the local server" refers to a mechanism for users to communicate via a local server in order to send and receive messages to each other.

[0739] "Equipped with an emotion engine that recognizes the user's emotions, and a means for the generative AI model to respond appropriately based on that data" refers to an engine for analyzing the user's emotions and a function that allows the generative AI model to generate an appropriate response based on the results of that analysis.

[0740] "Means for providing cached disaster information and news when the Internet is available" is a function that stores disaster information and news obtained when an Internet connection is available and provides it to users when the Internet is unavailable.

[0741] "Means for automatically generating content such as relaxing music and reading material and providing it to users" refers to a function that uses a generative AI model to automatically generate content such as relaxing music and reading material and delivers it to user devices.

[0742] This invention is a system that connects local servers located in each city, ward, town, or village with multiple terminals via a local network, enabling information provision and communication between users even in situations where the Internet is down. Furthermore, it combines functions to reduce user anxiety using a generative AI model, functions to alleviate psychological stress with automatically generated content, and an emotion engine that recognizes user emotions.

[0743] Hardware and Software Configuration

[0744] The servers are located in each city, town, or village. To provide a local network, they act as Wi-Fi access points (e.g., TP-Link Archer C7) and use local servers such as Synology NAS.

[0745] The terminal refers to the user's smartphone or PC, which functions as the interface between the user and the system.

[0746] The software includes dedicated applications (e.g., Custom Disaster App), emotion engines (e.g., Affectiva SDK), and generative AI engines (e.g., OpenAI GPT-3).

[0747] Server Configuration

[0748] The server broadcasts Wi-Fi with the appropriate SSID (e.g., disaster_network) and password, allowing devices within range to connect.

[0749] User Connections

[0750] The user's device (smartphone or PC) connects to the disaster_network via Wi-Fi and launches a dedicated application, which obtains the server's IP address and attempts to connect.

[0751] Providing information

[0752] The server provides the latest cached disaster information when the Internet is available. For example, the server reads information from a news database stored in local storage and sends it to the device. Users can then view the latest news and disaster information through a dedicated application.

[0753] User-to-User Communication

[0754] Users send messages to other users using a dedicated application. The server receives the messages and forwards them to the destination users, realizing real-time communication. For example, if user A sends a message saying "I'm heading to an evacuation site," the message will be forwarded to user B via the server.

[0755] Generative AI support

[0756] Users can ask questions or ask for advice using the chatbot function within the dedicated application. The server's generative AI model analyzes the question and generates an appropriate answer. For example, in response to the question, "What should I do next?", the response would be, "Go to an evacuation shelter and ensure your safety."

[0757] Emotion recognition by emotion engine

[0758] The device is equipped with an emotion engine that analyzes emotions from the user's input data and voice data. This analyzed data is sent to the generative AI, which responds appropriately to the user based on the emotional data. For example, if the user is feeling anxious, it generates a support message such as, "Try taking a deep breath in a relaxing place."

[0759] Providing auto-generated content

[0760] The server uses a generative AI model to automatically generate relaxing music and reading material, which are then provided to the device, allowing users to play relaxing music to relieve stress.

[0761] Prompt Sentence Examples

[0762] "Please tell me what to do in the event of a disaster."

[0763] "Please let me know what preparations I need to make in this situation."

[0764] "Please tell me how to feel safe at the evacuation shelter."

[0765] The system of this invention provides accurate information and ensures communication between users during disasters through a local network, and also provides psychological support using an emotion engine and generative AI model, thereby realizing a mechanism to comprehensively reduce users' anxiety and stress.

[0766] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0767] Step 1:

[0768] Server-based Wi-Fi access point configuration

[0769] Input: SSID and password information contained in the local server's initial configuration file

[0770] What happens: The server loads the initial configuration file, sets the SSID to "disaster_network" and the password, then enables Wi-Fi broadcasting.

[0771] Output: The configured Wi-Fi access point "disaster_network" will be broadcast and devices within range will be able to connect.

[0772] Step 2:

[0773] Wi-Fi connection of user device

[0774] Input: Select the SSID and enter the password in the Wi-Fi settings of the user device

[0775] Specific operation: The device selects "disaster_network" from the Wi-Fi network list and connects by entering the set password.

[0776] Output: The device is connected to the local network.

[0777] Step 3:

[0778] Launching the dedicated application and attempting to connect to the server

[0779] Input: IP address information of the dedicated application installed on the device and the server

[0780] Specific operation: The user of the device launches a dedicated application, which obtains the server's IP address and attempts to connect.

[0781] Output: Communication between the device and the server is established.

[0782] Step 4:

[0783] Providing cached information from the server

[0784] Input: Pre-cached disaster information and news data

[0785] Specific operation: The server reads information from disaster information and news databases stored in local storage and sends it to the terminal via a dedicated application.

[0786] Output: Users can view the latest disaster information and news through a dedicated application on their device.

[0787] Step 5:

[0788] Sending and receiving messages between users

[0789] Input: Message data entered by the user into the dedicated application

[0790] Specific operation: When User A enters the message "Heading to an evacuation site" and presses the send button, the message data is sent to the server. The server receives the message data and forwards it to the intended User B.

[0791] Output: The message is displayed on User B's device and User B can reply to it.

[0792] Step 6:

[0793] Question analysis and answer generation using generative AI

[0794] Input: A question entered by a user into a chatbot within a dedicated application (e.g., "What should I do next?")

[0795] How it works: A user's question is sent to the server, the generative AI model analyzes the prompt and generates an appropriate answer, and the server returns the generated answer to the device.

[0796] Output: The user views the generated answer (e.g., "Go to a shelter and stay safe") in a dedicated app on their device.

[0797] Step 7:

[0798] Emotion analysis and response using an emotion engine

[0799] Input: User input or speech data (e.g., "I'm incredibly anxious").

[0800] How it works: The device's built-in emotion engine analyzes the user's emotions from text and voice data and sends the results to the server. The server's generative AI then generates an appropriate support message (e.g., "Try taking a deep breath in a relaxing place") based on the emotion data and sends it back to the device.

[0801] Output: The user receives a support message generated in a dedicated application on the device.

[0802] Step 8:

[0803] Providing auto-generated content

[0804] Input: User request data, generative AI model

[0805] How it works: Using a generative AI model on the server, it automatically generates relaxing content such as music and reading material, and sends the generated content to the device.

[0806] Output: The user relieves stress by using automatically generated relaxing music and reading material in a dedicated application on the device.

[0807] (Application example 2)

[0808] 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."

[0809] In situations where internet access is unavailable, the challenge is to provide a means for customers to communicate smoothly with each other and with store staff in physical stores, while also reducing customer anxiety and stress. It is also necessary to provide appropriate information in response to rapidly changing situations, providing customers with a sense of security.

[0810] 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.

[0811] In this invention, the server includes a local server located on a municipality basis, a plurality of terminals connected within a local network, a terminal including an application for sending data to the local server and receiving data from the local server, a means for providing information via the local network even when an internet connection is unavailable, a chatbot means installed in the local server and using a generative AI model to reduce user anxiety, a means for communicating messages between users via the local server, a means for automatically generating content and providing it to users, an emotion engine for analyzing user emotions and determining the level of anxiety, a means for generating answers using the generative AI model based on questions entered by users, and a means for providing the generated answers and support messages to the terminals. This enables information provision and communication within a physical store even when an internet connection is unavailable, thereby comprehensively reducing customer anxiety and stress.

[0812] A "local server" is a server that is located on a city, ward, town, or village basis and is connected to multiple terminals within a local network.

[0813] A "local network" is a network that allows terminals connected within a specific area to communicate with each other.

[0814] A "terminal" is a device that can send and receive data from the local server.

[0815] An "application" is software that is installed on the terminal and exchanges data with a local server.

[0816] A "generative AI model" is a model that uses artificial intelligence technology to generate appropriate answers to user questions or input.

[0817] A "chatbot" is software that uses generative AI models to assist users in interacting with the system.

[0818] "Messaging" refers to the act of sending and receiving text and voice information between users via a local server.

[0819] "Content generation" refers to the process of using generative AI models to automatically create information and entertainment for users.

[0820] An "emotion engine" is software that analyzes a user's emotions and determines the level of anxiety or stress.

[0821] A "prompt sentence" is the input text that a generative AI model uses to answer a question from a user.

[0822] The system for implementing the present invention comprises a local server located at each municipality, multiple terminals connected to the local network, and terminals that include an application for sending and receiving data to the local server. This system provides information through the local network even in situations where an Internet connection is not possible, and supports communication between users.

[0823] Hardware and software used

[0824] Hardware: Local servers (in-store Wi-Fi routers and server machines), smartphones, PCs

[0825] Software: Python program, socket module, threading module, emotion engine, generative AI model (e.g., Hugging Face's Transformers library)

[0826] Details of data processing and calculation

[0827] Local Server Configuration

[0828] The local server broadcasts Wi-Fi by setting an appropriate SSID and password for each city, town, or village, allowing devices within range to connect to the server. The local server manages the sending and receiving of data between multiple connected devices and supports messaging between users.

[0829] User Connections

[0830] Users connect to the local network through the Wi-Fi settings on their smartphones or PCs and launch a dedicated application, through which they can receive the latest news and disaster information from the server and exchange messages with other users.

[0831] Supported by generative AI models

[0832] Users can use the chatbot function within the application to ask questions or consult with the generative AI model. The local server sends the user's question to the generative AI model, which then generates an appropriate answer and provides it to the user. This function helps reduce anxiety during disasters.

[0833] Emotion recognition by emotion engine

[0834] The text and voice data entered by the user is analyzed by the device's built-in emotion engine. The emotion engine analyzes the user's emotions and determines the level of anxiety and stress. The analysis results are sent to a generative AI model, which then responds appropriately based on the user's emotional state.

[0835] Providing auto-generated content

[0836] The local server uses a generative AI model to automatically generate relaxing content such as music and reading material, which is then delivered to the device and used by the user to relieve psychological stress.

[0837] Specific scenarios

[0838] Scenario 1: Building and connecting a local network

[0839] The server broadcasts Wi-Fi with the SSID "disaster_network." Devices connect to the server by connecting to "disaster_network" in their Wi-Fi settings and launching a dedicated application.

[0840] Scenario 2: Obtaining Information

[0841] The server provides the latest cached disaster information to the device when the internet is available, and users can view the latest news and disaster information through a dedicated application.

[0842] Scenario 3: User-to-User Communication

[0843] User A uses the chat function to send a message to User B saying, "I'm heading to an evacuation site." The server receives this message and forwards it to User B. Communication is established when User B receives the message and replies.

[0844] Scenario 4: Supported by generative AI models

[0845] The user activates the chatbot function and inputs a question such as, "What should I do next?" The server's generative AI model analyzes this question and generates an appropriate response, such as, "Go to an evacuation shelter and ensure your safety," which is provided to the user.

[0846] Scenario 5: Emotion recognition and response with an emotion engine

[0847] When a user inputs a text or voice message, it is analyzed by the emotion engine to determine the level of anxiety or stress. Based on this, the generative AI model generates an appropriate support message and provides it to the user. For example, it generates a message such as, "Try taking a deep breath in a relaxing place."

[0848] Scenario 6: Serving Auto-Generated Content

[0849] The local server automatically generates relaxing music using a generative AI model and transmits the content to the device, where the user can play the relaxing music to relieve psychological stress.

[0850] Prompt Sentence Examples

[0851] "What should I do next?"

[0852] "What are the current evacuation orders?"

[0853] "I'm so stressed I don't know what to do, please give me some advice."

[0854] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0855] Step 1:

[0856] The server broadcasts Wi-Fi by city, town, or district with the appropriate SSID and password, allowing devices within range to connect to the server. The input is the server's initial configuration data, and the output is the broadcast of the Wi-Fi network. This step configures and starts the Wi-Fi router.

[0857] Step 2:

[0858] The user connects to a local network from the Wi-Fi settings of their smartphone or PC and launches a dedicated application. The input includes the user's Wi-Fi connection settings and application launch operation, and the output is the smartphone or PC connected to the local network. In this step, the device connects to Wi-Fi and the application is initialized.

[0859] Step 3:

[0860] The terminal starts communication with the server via the local network. The server assigns a unique ID to each connected terminal. The input is the connection request and authentication information from the terminal, and the output is the unique ID assigned to the terminal and a message confirming the connection establishment. This step involves network authentication and connection management.

[0861] Step 4:

[0862] The user requests the latest news or disaster information through a dedicated application. The server provides the latest cached disaster information when the Internet is available. The input is the user's information request and the server's cached data, and the output is the latest news or disaster information. In this step, information is searched from the database and the data is sent to the user.

[0863] Step 5:

[0864] The user uses the chatbot function within the application to ask questions or ask the generative AI model for advice. The server sends the question data to the generative AI model and obtains a response. The input is the question text and prompt sentence from the user, and the output is the generated response text. In this step, natural language processing and response generation by the generative AI model take place.

[0865] Step 6:

[0866] The generated response text is sent to the user's device and displayed. The input is the response text from the generative AI model, and the output is the response text displayed on the user's screen. In this step, the text message is sent and displayed.

[0867] Step 7:

[0868] The user inputs a text or voice message, which is then analyzed by the device's built-in emotion engine. The input is emotion data (text or voice) from the user, and the output is the analyzed emotion data. In this step, the emotion data is analyzed and evaluated.

[0869] Step 8:

[0870] The analysis results obtained from the emotion engine are sent to the generative AI model, which generates an appropriate response message according to the user's emotional state. The input is the analyzed emotion data, and the output is the response message generated by the generative AI model. In this step, a response is generated based on the emotion data.

[0871] Step 9:

[0872] The server uses a generative AI model to automatically generate relaxing content such as music or reading material and deliver it to the device. The input is the user's request or prompt, and the output is music files or text content. In this step, content generation and delivery take place.

[0873] Step 10:

[0874] The user plays relaxation content on the device to relieve psychological stress. The input is the relaxation content delivered from the server, and the output is the user's relaxation experience. In this step, the content is played and used.

[0875] 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.

[0876] 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.

[0877] 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.

[0878] [Third embodiment]

[0879] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0880] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0881] 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).

[0882] 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.

[0883] 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.

[0884] 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).

[0885] 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.

[0886] 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.

[0887] 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.

[0888] 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.

[0889] 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.

[0890] 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."

[0891] This invention is a system that connects local servers located in each city, ward, town, or village with multiple terminals via a local network, enabling information provision and communication between users even when the Internet is down. Furthermore, it provides functions to reduce user anxiety using generative AI and to alleviate psychological stress with automatically generated content.

[0892] Overall operation overview

[0893] 1. Server configuration:

[0894] The servers are located in each city, town, or village and function as Wi-Fi access points, providing information to devices connected via the local network even when the internet is down.

[0895] The server broadcasts Wi-Fi with the appropriate SSID and password, allowing devices within range to connect.

[0896] 2. User connection:

[0897] The device (user's smartphone or PC) launches a dedicated application and connects to the server's local network, allowing it to obtain disaster information and communicate with other users.

[0898] 3. Provision of Information:

[0899] The server will provide cached disaster information and news, such as Yahoo! News and official information from local municipalities, to devices even if the internet is down.

[0900] 4. User-to-User Communications:

[0901] Users can send messages to other users using a dedicated application. The message is first sent to the server and then forwarded to the destination user's device, ensuring real-time communication within the local network.

[0902] 5. Generative AI Support:

[0903] Users can use the chatbot function within the dedicated application to ask questions or ask for advice from the generative AI. The server uses the generative AI to generate appropriate answers to the user's questions. This function helps reduce anxiety during disasters.

[0904] 6. Providing Auto-Generated Content:

[0905] The server automatically generates relaxing content such as music and reading material and provides it to the device, allowing users to use this content to relieve psychological stress.

[0906] Specific scenarios

[0907] Scenario 1: Building and connecting a local network

[0908] The server broadcasts Wi-Fi with the SSID "disaster_network".

[0909] The device connects to the "disaster_network" in the Wi-Fi settings and launches the dedicated application.

[0910] The application gets the server's IP address and attempts to connect.

[0911] Scenario 2: Obtaining Information

[0912] The server provides the latest disaster information that has been cached in advance to connected devices.

[0913] Users can view the latest news and disaster information through a dedicated application.

[0914] Scenario 3: User-to-User Communication

[0915] User A uses the chat function of a dedicated app to send a message to User B saying, "I'm heading to an evacuation site."

[0916] The server receives this message and forwards it to User B.

[0917] User B receives the message and can reply.

[0918] Scenario 4: Generative AI support

[0919] The user launches the chatbot function and types a question: "What should I do next?"

[0920] The generative AI on the server analyzes the question, generates an appropriate answer, and responds to the user, for example, "Please go to an evacuation shelter and ensure your safety."

[0921] Scenario 5: Serving Auto-Generated Content

[0922] The server automatically generates relaxing music using generative AI.

[0923] The content is sent to the terminal, and the user plays relaxing music to relieve stress.

[0924] In this way, the present invention realizes a comprehensive system for ensuring communication and information provision in the event of a disaster, and for reducing users' anxiety and stress.

[0925] The processing flow will be explained below.

[0926] Step 1:

[0927] The server is enabled to function as a Wi-Fi access point and broadcasts Wi-Fi with a specific SSID and password.

[0928] What happens: The server starts the Wi-Fi module, sets up an SSID called "disaster_network", and allows the connection.

[0929] Step 2:

[0930] On the device, select "disaster_network" on the Wi-Fi settings screen and enter the specified password to connect.

[0931] How it works: Select "disaster_network" from your device's Wi-Fi list, enter the password and establish a connection.

[0932] Step 3:

[0933] The terminal starts a dedicated application and sends a connection request to the server.

[0934] How it works: The dedicated app obtains the server's IP address (e.g., 192.168.1.1) and sends a connection request using the connection protocol (e.g., HTTP / HTTPS).

[0935] Step 4:

[0936] The server receives the connection request and begins the authentication process.

[0937] Operation: The server verifies the user data, and if authentication is successful, it returns a response according to the request from the dedicated app.

[0938] Step 5:

[0939] The server provides the latest disaster information and news data that it has cached in advance to connected devices.

[0940] How it works: The server loads official information from Yahoo! News and local municipalities from its cache and sends it to the device.

[0941] Step 6:

[0942] Users can send messages to other users using the chat function within the dedicated application.

[0943] Operation: User A enters a chat message and presses the "Send" button, and the message data is sent to the server.

[0944] Step 7:

[0945] The server receives a message from user A, identifies the destination user B, and forwards the message data.

[0946] Operation: The server obtains the IP address of the destination user B and sends the message to user B.

[0947] Step 8:

[0948] User B receives the message using a dedicated application and replies.

[0949] Action: User B reads the chat message, types a reply message if necessary, and sends it.

[0950] Step 9:

[0951] Users activate the chatbot function within the dedicated app and input their questions or inquiries into the generative AI.

[0952] What happens: The user types "What should I do next?" and presses the "Submit" button.

[0953] Step 10:

[0954] The server activates the generative AI, analyzes the user's question, generates an appropriate answer, and sends the response to the device.

[0955] How it works: The generative AI analyzes the question and generates an appropriate answer, such as "Go to an evacuation shelter and stay safe," which it returns to the user.

[0956] Step 11:

[0957] The server uses generative AI to automatically generate relaxing content such as music and reading material and provide it to the device.

[0958] How it works: Generative AI generates content in the background and sends the data to the user's device.

[0959] Step 12:

[0960] The terminal receives the provided content, and the user plays or views the content.

[0961] Operation: Provides the received content data to the user through an app for playback and display.

[0962] Example 1

[0963] 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."

[0964] There is a need for a system that allows residents to obtain necessary information and communicate with each other even in situations where internet connection is not possible due to disasters, network failures, etc. There is also a need for a means to reduce anxiety and relieve psychological stress during disasters.

[0965] 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.

[0966] In this invention, the server includes a local server located on a municipality basis, a plurality of terminals connected within a local network, a terminal including an application for sending data to the local server and receiving data from the local server, a means for providing information via the local network even when an Internet connection is unavailable, a chatbot means installed in the local server and using generative AI to reduce user anxiety, a means for communicating messages between users via the local server, a means for automatically generating content and providing it to users, a means for the local server to forward messages received from user terminals to destination terminals, and a means for the local server to automatically generate content such as relaxing music and reading material and provide it to users. This enables the provision of necessary information and communication between users even when an Internet connection is unavailable, and further reduces user anxiety and psychological stress.

[0967] A "local server" is a server that is installed at the municipal level and functions within a local network.

[0968] A "terminal" is a device used by a user, such as a smartphone or PC, that is connected to a server via a local network.

[0969] An "application" is software that is installed on a terminal and is used to send and receive data to and from a local server.

[0970] A "local network" is a network that is interconnected within a certain range and allows for the provision of information and communication even in situations where an Internet connection is not possible.

[0971] "Generative AI" is a type of artificial intelligence, a system that generates appropriate responses to users' questions and inquiries.

[0972] A "chatbot tool" is interactive software that uses generative AI to reduce user anxiety.

[0973] "Message communication" refers to the act of exchanging text messages between users, and is carried out via a local server.

[0974] "Auto-generated content" refers to content such as music or reading material that is automatically created using generative AI.

[0975] "Disaster information" refers to emergency information and news data provided in the event of a disaster, and is information necessary to ensure the safety of users.

[0976] "Cache" is a means of temporarily storing data, and is a mechanism that allows information to be provided quickly even when an Internet connection is not possible.

[0977] This invention is a system that connects local servers located in each city, ward, town, or village with multiple terminals via a local network, enabling information provision and communication between users even when the Internet is down. Furthermore, it provides functions to reduce user anxiety using generative AI and to alleviate psychological stress with automatically generated content.

[0978] First, servers are installed at the municipal level, and the main hardware used is a standard server device and a Wi-Fi access point device. Specifically, an Apache web server is configured to listen on port 80, and a MySQL database server is used for data management. A commercially available Wi-Fi router is used as the Wi-Fi access point, and the SSID "disaster_network" is set.

[0979] A dedicated application (e.g., the DisasterConnect app) is installed on the device (user's smartphone or PC), and by launching the application, the device connects to the local network. The device obtains the server's local IP address (e.g., 192.168.0.1) via DHCP, and accesses the server's management interface through the application.

[0980] The server caches disaster information and news in advance when the internet is available. Information is obtained from the Yahoo! News API and official city and town APIs and stored in a MySQL database in JSON format. Even if the internet is down, the server will provide the cached information to user devices.

[0981] As a concrete example, the server accesses the Yahoo! News API to retrieve the latest disaster information every hour. This information is stored in the "cache_data" table in the MySQL database and provided to the device as needed. For example, when a user clicks the "Get the latest disaster information" button in the DisasterConnect app, the server retrieves the latest information from the "cache_data" table and returns it to the device in JSON format.

[0982] Message communication between users can also take place within the local network. When user A types a message such as "I'm heading to an evacuation site" and presses the send button, the server receives this message and identifies the terminal address of the destination user (user B). The server then forwards the message to user B, who can receive and reply.

[0983] In addition, a chatbot function using generative AI is also provided. When a user inputs a question into the chatbot, such as "What should I do next?", the server-side generative AI (e.g., OpenAI GPT-4) analyzes the question and generates an appropriate answer. For example, a response such as "Please go to an evacuation shelter and ensure your safety" is generated and sent to the user.

[0984] Finally, automatically generated content such as relaxing music and reading material is provided. The server generates relaxing music using generative AI (e.g., Jukedeck or Amper Music) and saves it as "relax_music.mp3." When a user requests this music file through the DisasterConnect app, the server sends the music file, allowing the user to play relaxing music and relieve psychological stress.

[0985] As an example of a specific prompt sentence, if a user asks the chatbot, "Please tell me where to evacuate," the server will generate a specific answer such as "The nearest evacuation site is XX Park" and provide it to the device.

[0986] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0987] Step 1: Starting and Configuring the Server

[0988] The server starts, with the Apache web server listening on port 80. Next, a MySQL database server is started for data management. The server then broadcasts a Wi-Fi access point called "disaster_network," with an SSID and password configured to allow devices within a certain range to connect.

[0989] Input: Power on the server

[0990] Output: Creating a local network and broadcasting an access point

[0991] Data processing: Reading the server configuration file and applying the network settings

[0992] Step 2: Connect your device

[0993] The device (user's smartphone or PC) connects to the "disaster_network" in its Wi-Fi settings and obtains a local IP address (e.g., 192.168.0.x) using DHCP. The device then launches the DisasterConnect app and attempts to communicate with the server's API (e.g., http: / / 192.168.0.1 / api).

[0994] Input: The user sets up a Wi-Fi connection on the device.

[0995] Output: The device gets a local IP address and connects to the server

[0996] Data processing: IP address assignment by DHCP server

[0997] Step 3: Caching disaster information

[0998] The server periodically (e.g., every hour) accesses the Yahoo! News API and the official APIs of local governments to obtain the latest disaster information. The obtained information is stored in JSON format in the "cache_data" table of the MySQL database.

[0999] Input: Server accesses API

[1000] Output: Latest disaster information is saved in the database

[1001] Data Calculation: Retrieving data from API and parsing JSON

[1002] Step 4: Provide information

[1003] When a device requests disaster information, the server retrieves the latest information from the "cache_data" table in the MySQL database and responds to the device in JSON format.

[1004] Input: Request disaster information from the device

[1005] Output: Latest disaster information provided to the device

[1006] Data processing: Retrieving information from the database and generating JSON

[1007] Step 5: User-to-user communication

[1008] When user A enters and sends a message using the chat function, the server receives the message, identifies the IP address of the intended user, and forwards the message to that user. User B can then receive the message and reply.

[1009] Input: User A sends a message

[1010] Output: User B receives the message

[1011] Data processing: message storage and destination determination

[1012] Step 6: Generative AI support

[1013] When a user inputs a question into the chatbot (e.g., "What should I do next?"), the server's generative AI (e.g., OpenAI GPT-4) analyzes the question and generates an appropriate answer, which is then returned to the user.

[1014] Input: User question

[1015] Output: Generative AI answer

[1016] Data Computing: Natural Language Processing and Answer Generation

[1017] Step 7: Serve auto-generated content

[1018] The server generates relaxing music using generative AI (e.g., Jukedeck or Amper Music) and saves it as "relax_music.mp3." When a user requests this music, the server sends the music to the device, and the user can play the relaxing music.

[1019] Input: Request for music generation by generative AI

[1020] Output: Generate and deliver relaxing music files

[1021] Data processing: Music file generation and streaming

[1022] (Application example 1)

[1023] 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."

[1024] During a disaster, the lack of communication methods, the rapid provision of information, and the reduction of users' psychological stress are issues. Internet connections are likely to be cut off during a disaster, so even in such cases, it is necessary to provide appropriate information and ensure communication between users. In addition, because users often feel anxiety and stress, support to reduce these feelings is also important.

[1025] 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.

[1026] In this invention, the server includes a means for sending and receiving data to multiple terminals connected within a local network, a chatbot using generative AI, a means for providing information, and a means for providing disaster information. This enables prompt and appropriate information provision even in situations where the Internet connection is interrupted, ensuring communication between users. Furthermore, support using generative AI can reduce user anxiety and alleviate psychological stress.

[1027] A "local server" is a device that is located on a municipal level and enables data transmission and reception within a local network even when an Internet connection is not possible.

[1028] A "local network" is a network that connects multiple terminals within a limited area and enables data communication.

[1029] A "terminal" is a device used by a user, such as a smartphone or computer, that includes an application for sending and receiving data from a local server.

[1030] "Generative AI" is an artificial intelligence technology that analyzes questions and instructions from users and generates appropriate responses and content.

[1031] A "chatbot" is a program that uses generative AI to interact with users and provide them with appropriate information.

[1032] "User-to-user message communication" is a function that allows users to send messages to each other via a local network.

[1033] "Means for automatically generating content" refers to a method that uses generative AI to automatically create relaxing content such as music and reading material in order to relieve users' psychological stress.

[1034] "Disaster information" refers to information such as the latest disaster-related news and warnings provided by municipalities.

[1035] The present invention provides a system for dealing with a lack of communication means in the event of a disaster, for providing information quickly, and for reducing the psychological stress of users. Specific embodiments of the system will be described below.

[1036] Hardware and software used

[1037] 1. Local servers: These are deployed in each city, town, or village and function as Wi-Fi access points. These servers are small Raspberry Pis with built-in Wi-Fi modules and storage.

[1038] 2. Device (user's smart device): iOS or Android device

[1039] 3. Software used:

[1040] Server side: Linux-based server OS (e.g., Raspbian), Apache web server, MySQL database, AI modules built with Python scripts (e.g., TensorFlow)

[1041] App side: Multi-platform mobile application development framework (e.g., Flutter, React Native)

[1042] Processing flow and functions

[1043] 1. Server configuration and user connections:

[1044] The server broadcasts Wi-Fi with the SSID "disaster_support." The user's smart device connects to this SSID and launches a dedicated application. The application obtains the server's IP address and attempts to connect.

[1045] 2. Acquisition of information:

[1046] The server stores pre-cached disaster information (e.g., news reports and official information from municipalities) and provides it to the device. Users can view this information through the application.

[1047] 3. User-to-User Communications:

[1048] User A sends a message to User B using the chat function of a dedicated app. The message is first sent to the server and then forwarded from the server to User B. Message communication between users is now possible.

[1049] 4. Generative AI support:

[1050] The user activates the chatbot function and inputs a question. For example, "Where is the evacuation shelter?" The generative AI on the server analyzes the question, generates an appropriate answer, and responds to the user. For example, the answer may be, "The nearest evacuation shelter is City Hall."

[1051] 5. Providing Auto-Generated Content:

[1052] The server uses generative AI to automatically generate relaxing content such as music, which is then sent to the user's device, allowing the user to use it to relieve psychological stress.

[1053] Specific examples

[1054] When a user views disaster information, a notification such as "Earthquake has occurred! Please check the emergency information" will be displayed within the application.

[1055] For generative AI support, an example prompt might look like this: "User asks: Where are the evacuation shelters?\nAppropriate response:"

[1056] In this way, the system of the present invention functions to ensure communication and information provision during disasters and to reduce anxiety and stress among users.

[1057] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1058] Step 1:

[1059] The server broadcasts Wi-Fi with the SSID "disaster_support". The user's device connects to this SSID and launches a dedicated application. The application obtains the server's IP address and attempts to connect. The input is the SSID broadcast and the device's connection request, and the output is the device connected to the local network.

[1060] Step 2:

[1061] When a device connects to the server, it starts acquiring disaster information. The server then provides the latest disaster information that it has cached in advance to the connected device. The input is the cached disaster information data, and the output is the disaster information displayed on the device.

[1062] Step 3:

[1063] A user sends a message to another user using the chat function of a dedicated app. The input is the message text entered by the user, and the output is the message sent via the server. The server receives this message and forwards it to the destination user.

[1064] Step 4:

[1065] A user activates the chatbot function using generative AI and inputs a question. The input is the user's question text, and the output is an appropriate response text generated by the generative AI. For example, if a user asks, "Where is the evacuation shelter?", the AI ​​will respond, "The nearest evacuation shelter is city hall."

[1066] Step 5:

[1067] The server uses generative AI to automatically generate relaxing content such as music. The input is the conditions for the generated content set on the server, and the output is the generated content (music, reading material, etc.). This content is sent to the device, and the user can listen to it to relieve stress.

[1068] 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.

[1069] This invention is a system that connects local servers located in each city, town, or village with multiple terminals via a local network, enabling information provision and communication between users even in situations where the Internet is down. Furthermore, it combines functions to reduce user anxiety using generative AI, functions to alleviate psychological stress with automatically generated content, and an emotion engine that recognizes user emotions.

[1070] Overall operation overview

[1071] 1. Server configuration:

[1072] The servers are located in each city, town, or village and function as Wi-Fi access points, providing information to devices connected via the local network even when the internet is down.

[1073] The server broadcasts Wi-Fi with the appropriate SSID and password, allowing devices within range to connect.

[1074] 2. User connection:

[1075] The device (user's smartphone or PC) launches a dedicated application and connects to the server's local network, allowing it to obtain disaster information and communicate with other users.

[1076] 3. Provision of Information:

[1077] The server will provide cached disaster information and news to devices even if the internet is down, even if the internet is unavailable. This information includes news and official information from local governments.

[1078] 4. User-to-User Communications:

[1079] Users can send messages to other users using a dedicated application. The message is first sent to the server and then forwarded to the destination user's device, ensuring real-time communication within the local network.

[1080] 5. Generative AI Support:

[1081] Users can use the chatbot function within the dedicated application to ask questions or ask for advice from the generative AI. The server uses the generative AI to generate appropriate answers to the user's questions. This function helps reduce anxiety during disasters.

[1082] 6. Emotion Recognition with Emotion Engine:

[1083] The device is equipped with an emotion engine that analyzes emotions from user input and voice data, and the analyzed emotion data is sent to the generative AI.

[1084] The server's generative AI responds appropriately to the user based on the emotional data obtained from the emotion engine. For example, if emotion analysis determines that the user is feeling strong anxiety, it generates a support message that corresponds to that emotion.

[1085] 7. Providing Auto-Generated Content:

[1086] The server automatically generates relaxing content such as music and reading material and provides it to the device, allowing users to use this content to relieve psychological stress.

[1087] Specific scenarios

[1088] Scenario 1: Building and connecting a local network

[1089] The server broadcasts Wi-Fi with the SSID "disaster_network".

[1090] The device connects to the "disaster_network" in the Wi-Fi settings and launches the dedicated application.

[1091] The application gets the server's IP address and attempts to connect.

[1092] Scenario 2: Obtaining Information

[1093] The server provides the latest disaster information that has been cached in advance to connected devices.

[1094] Users can view the latest news and disaster information through a dedicated application.

[1095] Scenario 3: User-to-User Communication

[1096] User A uses the chat function of a dedicated app to send a message to User B saying, "I'm heading to an evacuation site."

[1097] The server receives this message and forwards it to User B.

[1098] User B receives the message and replies.

[1099] Scenario 4: Generative AI support

[1100] The user launches the chatbot function and types a question: "What should I do next?"

[1101] The generative AI on the server analyzes the question, generates an appropriate answer, and responds to the user, for example, "Please go to an evacuation shelter and ensure your safety."

[1102] Scenario 5: Emotion recognition and response with an emotion engine

[1103] Users enter text or voice messages expressing their feelings within the app.

[1104] The device's built-in emotion engine analyzes the user's emotions from the input data and determines the level of anxiety and stress.

[1105] The server's generative AI generates a support message based on the user's emotional data and responds to them accordingly. For example, if the user is feeling very anxious, it generates a message such as "Try taking a deep breath in a relaxing place."

[1106] Scenario 6: Serving Auto-Generated Content

[1107] The server automatically generates relaxing music using generative AI.

[1108] The content is sent to the terminal, and the user plays relaxing music to relieve stress.

[1109] In this way, the present invention realizes a system that ensures communication and information provision during disasters, and furthermore, recognizes the user's emotions using an emotion engine and responds appropriately accordingly, thereby comprehensively reducing the user's anxiety and stress.

[1110] The processing flow will be explained below.

[1111] Step 1:

[1112] The server is enabled to function as a Wi-Fi access point and broadcasts Wi-Fi with a specific SSID and password.

[1113] What happens: The server starts the Wi-Fi module, sets up an SSID called "disaster_network", sets a password and allows the connection.

[1114] Step 2:

[1115] On the device, select "disaster_network" on the Wi-Fi settings screen and enter the specified password to connect.

[1116] How it works: Select "disaster_network" from your device's Wi-Fi list, enter the password and establish a connection.

[1117] Step 3:

[1118] The terminal starts a dedicated application and sends a connection request to the server.

[1119] How it works: The dedicated app obtains the server's IP address (e.g., 192.168.1.1) and sends a connection request using the connection protocol (e.g., HTTP / HTTPS).

[1120] Step 4:

[1121] The server receives the connection request and begins the authentication process.

[1122] Operation: The server verifies the user data, and if authentication is successful, it returns a response according to the request from the dedicated app.

[1123] Step 5:

[1124] The server provides the latest disaster information and news data that it has cached in advance to connected devices.

[1125] How it works: The server loads news and official information from the city or town from its cache and sends it to the device.

[1126] Step 6:

[1127] Users can send messages to other users using the chat function within the dedicated application.

[1128] Operation: User A enters a chat message and presses the "Send" button, and the message data is sent to the server.

[1129] Step 7:

[1130] The server receives a message from user A, identifies the destination user B, and forwards the message data.

[1131] Operation: The server obtains the IP address of the destination user B and sends the message to user B.

[1132] Step 8:

[1133] User B receives the message using a dedicated application and replies.

[1134] Action: User B reads the chat message, types a reply message if necessary, and sends it.

[1135] Step 9:

[1136] Users activate the chatbot function within the dedicated app and input their questions or inquiries into the generative AI.

[1137] What happens: The user types "What should I do next?" and presses the "Submit" button.

[1138] Step 10:

[1139] The server activates the generative AI, analyzes the user's question, generates an appropriate answer, and sends the response to the device.

[1140] How it works: The generative AI analyzes the question and generates an appropriate answer, such as "Go to an evacuation shelter and stay safe," which it returns to the user.

[1141] Step 11:

[1142] Users enter text or voice messages expressing their feelings within the app.

[1143] How it works: Emotion data is collected through the device's microphone or text input, and the emotion engine analyzes the data.

[1144] Step 12:

[1145] The device's built-in emotion engine analyzes the user's emotions from the input data and determines the level of anxiety and stress.

[1146] How it works: The emotion engine analyzes text and audio data and generates emotion tags such as "anxiety," "fear," and "relief."

[1147] Step 13:

[1148] The server's generative AI generates a response appropriate to the user's condition based on the emotional data sent from the emotion engine and sends it to the device.

[1149] How it works: Generative AI analyzes emotional data, generates support messages based on the emotion (e.g., "Try taking a deep breath in a relaxing place"), and responds to the user.

[1150] Step 14:

[1151] The server uses generative AI to automatically generate relaxing content such as music and reading material and provide it to the device.

[1152] How it works: Generative AI generates relaxing content in the background and sends it to your device as data.

[1153] Step 15:

[1154] The terminal receives the provided content, and the user plays or views the content.

[1155] Operation: Provides the received content data to the user through an app for playback and display.

[1156] Example 2

[1157] 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."

[1158] In recent years, there has been an increase in situations where Internet connections are unavailable due to natural disasters and emergency situations. Even in such situations, accurate and prompt information provision and communication between users are necessary. However, with current systems, sufficient information transmission and communication become difficult when Internet connections are cut off. Furthermore, technology to reduce user anxiety and stress during disasters is insufficient. A system that can solve these issues is needed.

[1159] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1160] In this invention, the server includes a local server located on a municipal level, multiple terminals connected within the local network, a terminal including an application for sending data to the local server and receiving data from the local server, a means for providing information via the local network even when an internet connection is unavailable, a chatbot means installed in the local server and using a generative AI model to reduce user anxiety, a means for communicating messages between users via the local server, a means for installing an emotion engine that recognizes user emotions and for the generative AI model to take appropriate action based on the data, a means for providing cached disaster information and news when the internet is available, and a means for automatically generating and providing users with content such as relaxing music and reading material. This enables accurate information to be provided and communication between users to take place even during disasters, regardless of whether the internet is down, thereby further reducing user anxiety and stress.

[1161] A "local server deployed at the municipal level" is hardware that is installed within a specific municipal area and is used to build a local network.

[1162] "Multiple terminals connected within a local network" refers to multiple user devices that are connected to the same local network and are capable of transmitting and receiving data to and from each other.

[1163] The "application for transmitting data to the local server and receiving data from the local server" is software that is installed on a user terminal and that communicates with the local server.

[1164] "Means for providing information via the local network even in situations where an Internet connection is not possible" refers to a function for delivering information to users via the local network even when the Internet is down.

[1165] "Chatbot means installed on the local server and using a generative AI model to reduce user anxiety" refers to an automatic response function built into the local server that uses a generative AI model to respond to user questions and inquiries.

[1166] The "means for communicating messages between users via the local server" refers to a mechanism for users to communicate via a local server in order to send and receive messages to each other.

[1167] "Equipped with an emotion engine that recognizes the user's emotions, and a means for the generative AI model to respond appropriately based on that data" refers to an engine for analyzing the user's emotions and a function that allows the generative AI model to generate an appropriate response based on the results of that analysis.

[1168] "Means for providing cached disaster information and news when the Internet is available" is a function that stores disaster information and news obtained when an Internet connection is available and provides it to users when the Internet is unavailable.

[1169] "Means for automatically generating content such as relaxing music and reading material and providing it to users" refers to a function that uses a generative AI model to automatically generate content such as relaxing music and reading material and delivers it to user devices.

[1170] This invention is a system that connects local servers located in each city, ward, town, or village with multiple terminals via a local network, enabling information provision and communication between users even in situations where the Internet is down. Furthermore, it combines functions to reduce user anxiety using a generative AI model, functions to alleviate psychological stress with automatically generated content, and an emotion engine that recognizes user emotions.

[1171] Hardware and Software Configuration

[1172] The servers are located in each city, town, or village. To provide a local network, they act as Wi-Fi access points (e.g., TP-Link Archer C7) and use local servers such as Synology NAS.

[1173] The terminal refers to the user's smartphone or PC, which functions as the interface between the user and the system.

[1174] The software includes dedicated applications (e.g., Custom Disaster App), emotion engines (e.g., Affectiva SDK), and generative AI engines (e.g., OpenAI GPT-3).

[1175] Server Configuration

[1176] The server broadcasts Wi-Fi with the appropriate SSID (e.g., disaster_network) and password, allowing devices within range to connect.

[1177] User Connections

[1178] The user's device (smartphone or PC) connects to the disaster_network via Wi-Fi and launches a dedicated application, which obtains the server's IP address and attempts to connect.

[1179] Providing information

[1180] The server provides the latest cached disaster information when the Internet is available. For example, the server reads information from a news database stored in local storage and sends it to the device. Users can then view the latest news and disaster information through a dedicated application.

[1181] User-to-User Communication

[1182] Users send messages to other users using a dedicated application. The server receives the messages and forwards them to the destination users, realizing real-time communication. For example, if user A sends a message saying "I'm heading to an evacuation site," the message will be forwarded to user B via the server.

[1183] Generative AI support

[1184] Users can ask questions or ask for advice using the chatbot function within the dedicated application. The server's generative AI model analyzes the question and generates an appropriate answer. For example, in response to the question, "What should I do next?", the response would be, "Go to an evacuation shelter and ensure your safety."

[1185] Emotion recognition by emotion engine

[1186] The device is equipped with an emotion engine that analyzes emotions from the user's input data and voice data. This analyzed data is sent to the generative AI, which responds appropriately to the user based on the emotional data. For example, if the user is feeling anxious, it generates a support message such as, "Try taking a deep breath in a relaxing place."

[1187] Providing auto-generated content

[1188] The server uses a generative AI model to automatically generate relaxing music and reading material, which are then provided to the device, allowing users to play relaxing music to relieve stress.

[1189] Prompt Sentence Examples

[1190] "Please tell me what to do in the event of a disaster."

[1191] "Please let me know what preparations I need to make in this situation."

[1192] "Please tell me how to feel safe at the evacuation shelter."

[1193] The system of this invention provides accurate information and ensures communication between users during disasters through a local network, and also provides psychological support using an emotion engine and generative AI model, thereby realizing a mechanism to comprehensively reduce users' anxiety and stress.

[1194] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1195] Step 1:

[1196] Server-based Wi-Fi access point configuration

[1197] Input: SSID and password information contained in the local server's initial configuration file

[1198] What happens: The server loads the initial configuration file, sets the SSID to "disaster_network" and the password, then enables Wi-Fi broadcasting.

[1199] Output: The configured Wi-Fi access point "disaster_network" will be broadcast and devices within range will be able to connect.

[1200] Step 2:

[1201] Wi-Fi connection of user device

[1202] Input: Select the SSID and enter the password in the Wi-Fi settings of the user device

[1203] Specific operation: The device selects "disaster_network" from the Wi-Fi network list and connects by entering the set password.

[1204] Output: The device is connected to the local network.

[1205] Step 3:

[1206] Launching the dedicated application and attempting to connect to the server

[1207] Input: IP address information of the dedicated application installed on the device and the server

[1208] Specific operation: The user of the device launches a dedicated application, which obtains the server's IP address and attempts to connect.

[1209] Output: Communication between the device and the server is established.

[1210] Step 4:

[1211] Providing cached information from the server

[1212] Input: Pre-cached disaster information and news data

[1213] Specific operation: The server reads information from disaster information and news databases stored in local storage and sends it to the terminal via a dedicated application.

[1214] Output: Users can view the latest disaster information and news through a dedicated application on their device.

[1215] Step 5:

[1216] Sending and receiving messages between users

[1217] Input: Message data entered by the user into the dedicated application

[1218] Specific operation: When User A enters the message "Heading to an evacuation site" and presses the send button, the message data is sent to the server. The server receives the message data and forwards it to the intended User B.

[1219] Output: The message is displayed on User B's device and User B can reply to it.

[1220] Step 6:

[1221] Question analysis and answer generation using generative AI

[1222] Input: A question entered by a user into a chatbot within a dedicated application (e.g., "What should I do next?")

[1223] How it works: A user's question is sent to the server, the generative AI model analyzes the prompt and generates an appropriate answer, and the server returns the generated answer to the device.

[1224] Output: The user views the generated answer (e.g., "Go to a shelter and stay safe") in a dedicated app on their device.

[1225] Step 7:

[1226] Emotion analysis and response using an emotion engine

[1227] Input: User input or speech data (e.g., "I'm incredibly anxious").

[1228] How it works: The device's built-in emotion engine analyzes the user's emotions from text and voice data and sends the results to the server. The server's generative AI then generates an appropriate support message (e.g., "Try taking a deep breath in a relaxing place") based on the emotion data and sends it back to the device.

[1229] Output: The user receives a support message generated in a dedicated application on the device.

[1230] Step 8:

[1231] Providing auto-generated content

[1232] Input: User request data, generative AI model

[1233] How it works: Using a generative AI model on the server, it automatically generates relaxing content such as music and reading material, and sends the generated content to the device.

[1234] Output: The user relieves stress by using automatically generated relaxing music and reading material in a dedicated application on the device.

[1235] (Application example 2)

[1236] 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."

[1237] In situations where internet access is unavailable, the challenge is to provide a means for customers to communicate smoothly with each other and with store staff in physical stores, while also reducing customer anxiety and stress. It is also necessary to provide appropriate information in response to rapidly changing situations, providing customers with a sense of security.

[1238] 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.

[1239] In this invention, the server includes a local server located on a municipality basis, a plurality of terminals connected within a local network, a terminal including an application for sending data to the local server and receiving data from the local server, a means for providing information via the local network even when an internet connection is unavailable, a chatbot means installed in the local server and using a generative AI model to reduce user anxiety, a means for communicating messages between users via the local server, a means for automatically generating content and providing it to users, an emotion engine for analyzing user emotions and determining the level of anxiety, a means for generating answers using the generative AI model based on questions entered by users, and a means for providing the generated answers and support messages to the terminals. This enables information provision and communication within a physical store even when an internet connection is unavailable, thereby comprehensively reducing customer anxiety and stress.

[1240] A "local server" is a server that is located on a city, ward, town, or village basis and is connected to multiple terminals within a local network.

[1241] A "local network" is a network that allows terminals connected within a specific area to communicate with each other.

[1242] A "terminal" is a device that can send and receive data from the local server.

[1243] An "application" is software that is installed on the terminal and exchanges data with a local server.

[1244] A "generative AI model" is a model that uses artificial intelligence technology to generate appropriate answers to user questions or input.

[1245] A "chatbot" is software that uses generative AI models to assist users in interacting with the system.

[1246] "Messaging" refers to the act of sending and receiving text and voice information between users via a local server.

[1247] "Content generation" refers to the process of using generative AI models to automatically create information and entertainment for users.

[1248] An "emotion engine" is software that analyzes a user's emotions and determines the level of anxiety or stress.

[1249] A "prompt sentence" is the input text that a generative AI model uses to answer a question from a user.

[1250] The system for implementing the present invention comprises a local server located at each municipality, multiple terminals connected to the local network, and terminals that include an application for sending and receiving data to the local server. This system provides information through the local network even in situations where an Internet connection is not possible, and supports communication between users.

[1251] Hardware and software used

[1252] Hardware: Local servers (in-store Wi-Fi routers and server machines), smartphones, PCs

[1253] Software: Python program, socket module, threading module, emotion engine, generative AI model (e.g., Hugging Face's Transformers library)

[1254] Details of data processing and calculation

[1255] Local Server Configuration

[1256] The local server broadcasts Wi-Fi by setting an appropriate SSID and password for each city, town, or village, allowing devices within range to connect to the server. The local server manages the sending and receiving of data between multiple connected devices and supports messaging between users.

[1257] User Connections

[1258] Users connect to the local network through the Wi-Fi settings on their smartphones or PCs and launch a dedicated application, through which they can receive the latest news and disaster information from the server and exchange messages with other users.

[1259] Supported by generative AI models

[1260] Users can use the chatbot function within the application to ask questions or consult with the generative AI model. The local server sends the user's question to the generative AI model, which then generates an appropriate answer and provides it to the user. This function helps reduce anxiety during disasters.

[1261] Emotion recognition by emotion engine

[1262] The text and voice data entered by the user is analyzed by the device's built-in emotion engine. The emotion engine analyzes the user's emotions and determines the level of anxiety and stress. The analysis results are sent to a generative AI model, which then responds appropriately based on the user's emotional state.

[1263] Providing auto-generated content

[1264] The local server uses a generative AI model to automatically generate relaxing content such as music and reading material, which is then delivered to the device and used by the user to relieve psychological stress.

[1265] Specific scenarios

[1266] Scenario 1: Building and connecting a local network

[1267] The server broadcasts Wi-Fi with the SSID "disaster_network." Devices connect to the server by connecting to "disaster_network" in their Wi-Fi settings and launching a dedicated application.

[1268] Scenario 2: Obtaining Information

[1269] The server provides the latest cached disaster information to the device when the internet is available, and users can view the latest news and disaster information through a dedicated application.

[1270] Scenario 3: User-to-User Communication

[1271] User A uses the chat function to send a message to User B saying, "I'm heading to an evacuation site." The server receives this message and forwards it to User B. Communication is established when User B receives the message and replies.

[1272] Scenario 4: Supported by generative AI models

[1273] The user activates the chatbot function and inputs a question such as, "What should I do next?" The server's generative AI model analyzes this question and generates an appropriate response, such as, "Go to an evacuation shelter and ensure your safety," which is provided to the user.

[1274] Scenario 5: Emotion recognition and response with an emotion engine

[1275] When a user inputs a text or voice message, it is analyzed by the emotion engine to determine the level of anxiety or stress. Based on this, the generative AI model generates an appropriate support message and provides it to the user. For example, it generates a message such as, "Try taking a deep breath in a relaxing place."

[1276] Scenario 6: Serving Auto-Generated Content

[1277] The local server automatically generates relaxing music using a generative AI model and transmits the content to the device, where the user can play the relaxing music to relieve psychological stress.

[1278] Prompt Sentence Examples

[1279] "What should I do next?"

[1280] "What are the current evacuation orders?"

[1281] "I'm so stressed I don't know what to do, please give me some advice."

[1282] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1283] Step 1:

[1284] The server broadcasts Wi-Fi by city, town, or district with the appropriate SSID and password, allowing devices within range to connect to the server. The input is the server's initial configuration data, and the output is the broadcast of the Wi-Fi network. This step configures and starts the Wi-Fi router.

[1285] Step 2:

[1286] The user connects to a local network from the Wi-Fi settings of their smartphone or PC and launches a dedicated application. The input includes the user's Wi-Fi connection settings and application launch operation, and the output is the smartphone or PC connected to the local network. In this step, the device connects to Wi-Fi and the application is initialized.

[1287] Step 3:

[1288] The terminal starts communication with the server via the local network. The server assigns a unique ID to each connected terminal. The input is the connection request and authentication information from the terminal, and the output is the unique ID assigned to the terminal and a message confirming the connection establishment. This step involves network authentication and connection management.

[1289] Step 4:

[1290] The user requests the latest news or disaster information through a dedicated application. The server provides the latest cached disaster information when the Internet is available. The input is the user's information request and the server's cached data, and the output is the latest news or disaster information. In this step, information is searched from the database and the data is sent to the user.

[1291] Step 5:

[1292] The user uses the chatbot function within the application to ask questions or ask the generative AI model for advice. The server sends the question data to the generative AI model and obtains a response. The input is the question text and prompt sentence from the user, and the output is the generated response text. In this step, natural language processing and response generation by the generative AI model take place.

[1293] Step 6:

[1294] The generated response text is sent to the user's device and displayed. The input is the response text from the generative AI model, and the output is the response text displayed on the user's screen. In this step, the text message is sent and displayed.

[1295] Step 7:

[1296] The user inputs a text or voice message, which is then analyzed by the device's built-in emotion engine. The input is emotion data (text or voice) from the user, and the output is the analyzed emotion data. In this step, the emotion data is analyzed and evaluated.

[1297] Step 8:

[1298] The analysis results obtained from the emotion engine are sent to the generative AI model, which generates an appropriate response message according to the user's emotional state. The input is the analyzed emotion data, and the output is the response message generated by the generative AI model. In this step, a response is generated based on the emotion data.

[1299] Step 9:

[1300] The server uses a generative AI model to automatically generate relaxing content such as music or reading material and deliver it to the device. The input is the user's request or prompt, and the output is music files or text content. In this step, content generation and delivery take place.

[1301] Step 10:

[1302] The user plays relaxation content on the device to relieve psychological stress. The input is the relaxation content delivered from the server, and the output is the user's relaxation experience. In this step, the content is played and used.

[1303] 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.

[1304] 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.

[1305] 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.

[1306] [Fourth embodiment]

[1307] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1308] 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.

[1309] 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).

[1310] 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.

[1311] 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.

[1312] 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).

[1313] 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.

[1314] 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.

[1315] 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.

[1316] 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.

[1317] 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.

[1318] 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.

[1319] 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."

[1320] This invention is a system that connects local servers located in each city, ward, town, or village with multiple terminals via a local network, enabling information provision and communication between users even when the Internet is down. Furthermore, it provides functions to reduce user anxiety using generative AI and to alleviate psychological stress with automatically generated content.

[1321] Overall operation overview

[1322] 1. Server configuration:

[1323] The servers are located in each city, town, or village and function as Wi-Fi access points, providing information to devices connected via the local network even when the internet is down.

[1324] The server broadcasts Wi-Fi with the appropriate SSID and password, allowing devices within range to connect.

[1325] 2. User connection:

[1326] The device (user's smartphone or PC) launches a dedicated application and connects to the server's local network, allowing it to obtain disaster information and communicate with other users.

[1327] 3. Provision of Information:

[1328] The server will provide cached disaster information and news, such as Yahoo! News and official information from local municipalities, to devices even if the internet is down.

[1329] 4. User-to-User Communications:

[1330] Users can send messages to other users using a dedicated application. The message is first sent to the server and then forwarded to the destination user's device, ensuring real-time communication within the local network.

[1331] 5. Generative AI Support:

[1332] Users can use the chatbot function within the dedicated application to ask questions or ask for advice from the generative AI. The server uses the generative AI to generate appropriate answers to the user's questions. This function helps reduce anxiety during disasters.

[1333] 6. Providing Auto-Generated Content:

[1334] The server automatically generates relaxing content such as music and reading material and provides it to the device, allowing users to use this content to relieve psychological stress.

[1335] Specific scenarios

[1336] Scenario 1: Building and connecting a local network

[1337] The server broadcasts Wi-Fi with the SSID "disaster_network".

[1338] The device connects to the "disaster_network" in the Wi-Fi settings and launches the dedicated application.

[1339] The application gets the server's IP address and attempts to connect.

[1340] Scenario 2: Obtaining Information

[1341] The server provides the latest disaster information that has been cached in advance to connected devices.

[1342] Users can view the latest news and disaster information through a dedicated application.

[1343] Scenario 3: User-to-User Communication

[1344] User A uses the chat function of a dedicated app to send a message to User B saying, "I'm heading to an evacuation site."

[1345] The server receives this message and forwards it to User B.

[1346] User B receives the message and can reply.

[1347] Scenario 4: Generative AI support

[1348] The user launches the chatbot function and types a question: "What should I do next?"

[1349] The generative AI on the server analyzes the question, generates an appropriate answer, and responds to the user, for example, "Please go to an evacuation shelter and ensure your safety."

[1350] Scenario 5: Serving Auto-Generated Content

[1351] The server automatically generates relaxing music using generative AI.

[1352] The content is sent to the terminal, and the user plays relaxing music to relieve stress.

[1353] In this way, the present invention realizes a comprehensive system for ensuring communication and information provision in the event of a disaster, and for reducing users' anxiety and stress.

[1354] The processing flow will be explained below.

[1355] Step 1:

[1356] The server is enabled to function as a Wi-Fi access point and broadcasts Wi-Fi with a specific SSID and password.

[1357] What happens: The server starts the Wi-Fi module, sets up an SSID called "disaster_network", and allows the connection.

[1358] Step 2:

[1359] On the device, select "disaster_network" on the Wi-Fi settings screen and enter the specified password to connect.

[1360] How it works: Select "disaster_network" from your device's Wi-Fi list, enter the password and establish a connection.

[1361] Step 3:

[1362] The terminal starts a dedicated application and sends a connection request to the server.

[1363] How it works: The dedicated app obtains the server's IP address (e.g., 192.168.1.1) and sends a connection request using the connection protocol (e.g., HTTP / HTTPS).

[1364] Step 4:

[1365] The server receives the connection request and begins the authentication process.

[1366] Operation: The server verifies the user data, and if authentication is successful, it returns a response according to the request from the dedicated app.

[1367] Step 5:

[1368] The server provides the latest disaster information and news data that it has cached in advance to connected devices.

[1369] How it works: The server loads official information from Yahoo! News and local municipalities from its cache and sends it to the device.

[1370] Step 6:

[1371] Users can send messages to other users using the chat function within the dedicated application.

[1372] Operation: User A enters a chat message and presses the "Send" button, and the message data is sent to the server.

[1373] Step 7:

[1374] The server receives a message from user A, identifies the destination user B, and forwards the message data.

[1375] Operation: The server obtains the IP address of the destination user B and sends the message to user B.

[1376] Step 8:

[1377] User B receives the message using a dedicated application and replies.

[1378] Action: User B reads the chat message, types a reply message if necessary, and sends it.

[1379] Step 9:

[1380] Users activate the chatbot function within the dedicated app and input their questions or inquiries into the generative AI.

[1381] What happens: The user types "What should I do next?" and presses the "Submit" button.

[1382] Step 10:

[1383] The server activates the generative AI, analyzes the user's question, generates an appropriate answer, and sends the response to the device.

[1384] How it works: The generative AI analyzes the question and generates an appropriate answer, such as "Go to an evacuation shelter and stay safe," which it returns to the user.

[1385] Step 11:

[1386] The server uses generative AI to automatically generate relaxing content such as music and reading material and provide it to the device.

[1387] How it works: Generative AI generates content in the background and sends the data to the user's device.

[1388] Step 12:

[1389] The terminal receives the provided content, and the user plays or views the content.

[1390] Operation: Provides the received content data to the user through an app for playback and display.

[1391] Example 1

[1392] 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."

[1393] There is a need for a system that allows residents to obtain necessary information and communicate with each other even in situations where internet connection is not possible due to disasters, network failures, etc. There is also a need for a means to reduce anxiety and relieve psychological stress during disasters.

[1394] 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.

[1395] In this invention, the server includes a local server located on a municipality basis, a plurality of terminals connected within a local network, a terminal including an application for sending data to the local server and receiving data from the local server, a means for providing information via the local network even when an Internet connection is unavailable, a chatbot means installed in the local server and using generative AI to reduce user anxiety, a means for communicating messages between users via the local server, a means for automatically generating content and providing it to users, a means for the local server to forward messages received from user terminals to destination terminals, and a means for the local server to automatically generate content such as relaxing music and reading material and provide it to users. This enables the provision of necessary information and communication between users even when an Internet connection is unavailable, and further reduces user anxiety and psychological stress.

[1396] A "local server" is a server that is installed at the municipal level and functions within a local network.

[1397] A "terminal" is a device used by a user, such as a smartphone or PC, that is connected to a server via a local network.

[1398] An "application" is software that is installed on a terminal and is used to send and receive data to and from a local server.

[1399] A "local network" is a network that is interconnected within a certain range and allows for the provision of information and communication even in situations where an Internet connection is not possible.

[1400] "Generative AI" is a type of artificial intelligence, a system that generates appropriate responses to users' questions and inquiries.

[1401] A "chatbot tool" is interactive software that uses generative AI to reduce user anxiety.

[1402] "Message communication" refers to the act of exchanging text messages between users, and is carried out via a local server.

[1403] "Auto-generated content" refers to content such as music or reading material that is automatically created using generative AI.

[1404] "Disaster information" refers to emergency information and news data provided in the event of a disaster, and is information necessary to ensure the safety of users.

[1405] "Cache" is a means of temporarily storing data, and is a mechanism that allows information to be provided quickly even when an Internet connection is not possible.

[1406] This invention is a system that connects local servers located in each city, ward, town, or village with multiple terminals via a local network, enabling information provision and communication between users even when the Internet is down. Furthermore, it provides functions to reduce user anxiety using generative AI and to alleviate psychological stress with automatically generated content.

[1407] First, servers are installed at the municipal level, and the main hardware used is a standard server device and a Wi-Fi access point device. Specifically, an Apache web server is configured to listen on port 80, and a MySQL database server is used for data management. A commercially available Wi-Fi router is used as the Wi-Fi access point, and the SSID "disaster_network" is set.

[1408] A dedicated application (e.g., the DisasterConnect app) is installed on the device (user's smartphone or PC), and by launching the application, the device connects to the local network. The device obtains the server's local IP address (e.g., 192.168.0.1) via DHCP, and accesses the server's management interface through the application.

[1409] The server caches disaster information and news in advance when the internet is available. Information is obtained from the Yahoo! News API and official city and town APIs and stored in a MySQL database in JSON format. Even if the internet is down, the server will provide the cached information to user devices.

[1410] As a concrete example, the server accesses the Yahoo! News API to retrieve the latest disaster information every hour. This information is stored in the "cache_data" table in the MySQL database and provided to the device as needed. For example, when a user clicks the "Get the latest disaster information" button in the DisasterConnect app, the server retrieves the latest information from the "cache_data" table and returns it to the device in JSON format.

[1411] Message communication between users can also take place within the local network. When user A types a message such as "I'm heading to an evacuation site" and presses the send button, the server receives this message and identifies the terminal address of the destination user (user B). The server then forwards the message to user B, who can receive and reply.

[1412] In addition, a chatbot function using generative AI is also provided. When a user inputs a question into the chatbot, such as "What should I do next?", the server-side generative AI (e.g., OpenAI GPT-4) analyzes the question and generates an appropriate answer. For example, a response such as "Please go to an evacuation shelter and ensure your safety" is generated and sent to the user.

[1413] Finally, automatically generated content such as relaxing music and reading material is provided. The server generates relaxing music using generative AI (e.g., Jukedeck or Amper Music) and saves it as "relax_music.mp3." When a user requests this music file through the DisasterConnect app, the server sends the music file, allowing the user to play relaxing music and relieve psychological stress.

[1414] As an example of a specific prompt sentence, if a user asks the chatbot, "Please tell me where to evacuate," the server will generate a specific answer such as "The nearest evacuation site is XX Park" and provide it to the device.

[1415] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1416] Step 1: Starting and Configuring the Server

[1417] The server starts, with the Apache web server listening on port 80. Next, a MySQL database server is started for data management. The server then broadcasts a Wi-Fi access point called "disaster_network," with an SSID and password configured to allow devices within a certain range to connect.

[1418] Input: Power on the server

[1419] Output: Creating a local network and broadcasting an access point

[1420] Data processing: Reading the server configuration file and applying the network settings

[1421] Step 2: Connect your device

[1422] The device (user's smartphone or PC) connects to the "disaster_network" in its Wi-Fi settings and obtains a local IP address (e.g., 192.168.0.x) using DHCP. The device then launches the DisasterConnect app and attempts to communicate with the server's API (e.g., http: / / 192.168.0.1 / api).

[1423] Input: The user sets up a Wi-Fi connection on the device.

[1424] Output: The device gets a local IP address and connects to the server

[1425] Data processing: IP address assignment by DHCP server

[1426] Step 3: Caching disaster information

[1427] The server periodically (e.g., every hour) accesses the Yahoo! News API and the official APIs of local governments to obtain the latest disaster information. The obtained information is stored in JSON format in the "cache_data" table of the MySQL database.

[1428] Input: Server accesses API

[1429] Output: Latest disaster information is saved in the database

[1430] Data Calculation: Retrieving data from API and parsing JSON

[1431] Step 4: Provide information

[1432] When a device requests disaster information, the server retrieves the latest information from the "cache_data" table in the MySQL database and responds to the device in JSON format.

[1433] Input: Request disaster information from the device

[1434] Output: Latest disaster information provided to the device

[1435] Data processing: Retrieving information from the database and generating JSON

[1436] Step 5: User-to-user communication

[1437] When user A enters and sends a message using the chat function, the server receives the message, identifies the IP address of the intended user, and forwards the message to that user. User B can then receive the message and reply.

[1438] Input: User A sends a message

[1439] Output: User B receives the message

[1440] Data processing: message storage and destination determination

[1441] Step 6: Generative AI support

[1442] When a user inputs a question into the chatbot (e.g., "What should I do next?"), the server's generative AI (e.g., OpenAI GPT-4) analyzes the question and generates an appropriate answer, which is then returned to the user.

[1443] Input: User question

[1444] Output: Generative AI answer

[1445] Data Computing: Natural Language Processing and Answer Generation

[1446] Step 7: Serve auto-generated content

[1447] The server generates relaxing music using generative AI (e.g., Jukedeck or Amper Music) and saves it as "relax_music.mp3." When a user requests this music, the server sends the music to the device, and the user can play the relaxing music.

[1448] Input: Request for music generation by generative AI

[1449] Output: Generate and deliver relaxing music files

[1450] Data processing: Music file generation and streaming

[1451] (Application example 1)

[1452] 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."

[1453] During a disaster, the lack of communication methods, the rapid provision of information, and the reduction of users' psychological stress are issues. Internet connections are likely to be cut off during a disaster, so even in such cases, it is necessary to provide appropriate information and ensure communication between users. In addition, because users often feel anxiety and stress, support to reduce these feelings is also important.

[1454] 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.

[1455] In this invention, the server includes a means for sending and receiving data to multiple terminals connected within a local network, a chatbot using generative AI, a means for providing information, and a means for providing disaster information. This enables prompt and appropriate information provision even in situations where the Internet connection is interrupted, ensuring communication between users. Furthermore, support using generative AI can reduce user anxiety and alleviate psychological stress.

[1456] A "local server" is a device that is located on a municipal level and enables data transmission and reception within a local network even when an Internet connection is not possible.

[1457] A "local network" is a network that connects multiple terminals within a limited area and enables data communication.

[1458] A "terminal" is a device used by a user, such as a smartphone or computer, that includes an application for sending and receiving data from a local server.

[1459] "Generative AI" is an artificial intelligence technology that analyzes questions and instructions from users and generates appropriate responses and content.

[1460] A "chatbot" is a program that uses generative AI to interact with users and provide them with appropriate information.

[1461] "User-to-user message communication" is a function that allows users to send messages to each other via a local network.

[1462] "Means for automatically generating content" refers to a method that uses generative AI to automatically create relaxing content such as music and reading material in order to relieve users' psychological stress.

[1463] "Disaster information" refers to information such as the latest disaster-related news and warnings provided by municipalities.

[1464] The present invention provides a system for dealing with a lack of communication means in the event of a disaster, for providing information quickly, and for reducing the psychological stress of users. Specific embodiments of the system will be described below.

[1465] Hardware and software used

[1466] 1. Local servers: These are deployed in each city, town, or village and function as Wi-Fi access points. These servers are small Raspberry Pis with built-in Wi-Fi modules and storage.

[1467] 2. Device (user's smart device): iOS or Android device

[1468] 3. Software used:

[1469] Server side: Linux-based server OS (e.g., Raspbian), Apache web server, MySQL database, AI modules built with Python scripts (e.g., TensorFlow)

[1470] App side: Multi-platform mobile application development framework (e.g., Flutter, React Native)

[1471] Processing flow and functions

[1472] 1. Server configuration and user connections:

[1473] The server broadcasts Wi-Fi with the SSID "disaster_support." The user's smart device connects to this SSID and launches a dedicated application. The application obtains the server's IP address and attempts to connect.

[1474] 2. Acquisition of information:

[1475] The server stores pre-cached disaster information (e.g., news reports and official information from municipalities) and provides it to the device. Users can view this information through the application.

[1476] 3. User-to-User Communications:

[1477] User A sends a message to User B using the chat function of a dedicated app. The message is first sent to the server and then forwarded from the server to User B. Message communication between users is now possible.

[1478] 4. Generative AI support:

[1479] The user activates the chatbot function and inputs a question. For example, "Where is the evacuation shelter?" The generative AI on the server analyzes the question, generates an appropriate answer, and responds to the user. For example, the answer may be, "The nearest evacuation shelter is City Hall."

[1480] 5. Providing Auto-Generated Content:

[1481] The server uses generative AI to automatically generate relaxing content such as music, which is then sent to the user's device, allowing the user to use it to relieve psychological stress.

[1482] Specific examples

[1483] When a user views disaster information, a notification such as "Earthquake has occurred! Please check the emergency information" will be displayed within the application.

[1484] For generative AI support, an example prompt might look like this: "User asks: Where are the evacuation shelters?\nAppropriate response:"

[1485] In this way, the system of the present invention functions to ensure communication and information provision during disasters and to reduce anxiety and stress among users.

[1486] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1487] Step 1:

[1488] The server broadcasts Wi-Fi with the SSID "disaster_support". The user's device connects to this SSID and launches a dedicated application. The application obtains the server's IP address and attempts to connect. The input is the SSID broadcast and the device's connection request, and the output is the device connected to the local network.

[1489] Step 2:

[1490] When a device connects to the server, it starts acquiring disaster information. The server then provides the latest disaster information that it has cached in advance to the connected device. The input is the cached disaster information data, and the output is the disaster information displayed on the device.

[1491] Step 3:

[1492] A user sends a message to another user using the chat function of a dedicated app. The input is the message text entered by the user, and the output is the message sent via the server. The server receives this message and forwards it to the destination user.

[1493] Step 4:

[1494] A user activates the chatbot function using generative AI and inputs a question. The input is the user's question text, and the output is an appropriate response text generated by the generative AI. For example, if a user asks, "Where is the evacuation shelter?", the AI ​​will respond, "The nearest evacuation shelter is city hall."

[1495] Step 5:

[1496] The server uses generative AI to automatically generate relaxing content such as music. The input is the conditions for the generated content set on the server, and the output is the generated content (music, reading material, etc.). This content is sent to the device, and the user can listen to it to relieve stress.

[1497] 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.

[1498] This invention is a system that connects local servers located in each city, town, or village with multiple terminals via a local network, enabling information provision and communication between users even in situations where the Internet is down. Furthermore, it combines functions to reduce user anxiety using generative AI, functions to alleviate psychological stress with automatically generated content, and an emotion engine that recognizes user emotions.

[1499] Overall operation overview

[1500] 1. Server configuration:

[1501] The servers are located in each city, town, or village and function as Wi-Fi access points, providing information to devices connected via the local network even when the internet is down.

[1502] The server broadcasts Wi-Fi with the appropriate SSID and password, allowing devices within range to connect.

[1503] 2. User connection:

[1504] The device (user's smartphone or PC) launches a dedicated application and connects to the server's local network, allowing it to obtain disaster information and communicate with other users.

[1505] 3. Provision of Information:

[1506] The server will provide cached disaster information and news to devices even if the internet is down, even if the internet is unavailable. This information includes news and official information from local governments.

[1507] 4. User-to-User Communications:

[1508] Users can send messages to other users using a dedicated application. The message is first sent to the server and then forwarded to the destination user's device, ensuring real-time communication within the local network.

[1509] 5. Generative AI Support:

[1510] Users can use the chatbot function within the dedicated application to ask questions or ask for advice from the generative AI. The server uses the generative AI to generate appropriate answers to the user's questions. This function helps reduce anxiety during disasters.

[1511] 6. Emotion Recognition with Emotion Engine:

[1512] The device is equipped with an emotion engine that analyzes emotions from user input and voice data, and the analyzed emotion data is sent to the generative AI.

[1513] The server's generative AI responds appropriately to the user based on the emotional data obtained from the emotion engine. For example, if emotion analysis determines that the user is feeling strong anxiety, it generates a support message that corresponds to that emotion.

[1514] 7. Providing Auto-Generated Content:

[1515] The server automatically generates relaxing content such as music and reading material and provides it to the device, allowing users to use this content to relieve psychological stress.

[1516] Specific scenarios

[1517] Scenario 1: Building and connecting a local network

[1518] The server broadcasts Wi-Fi with the SSID "disaster_network".

[1519] The device connects to the "disaster_network" in the Wi-Fi settings and launches the dedicated application.

[1520] The application gets the server's IP address and attempts to connect.

[1521] Scenario 2: Obtaining Information

[1522] The server provides the latest disaster information that has been cached in advance to connected devices.

[1523] Users can view the latest news and disaster information through a dedicated application.

[1524] Scenario 3: User-to-User Communication

[1525] User A uses the chat function of a dedicated app to send a message to User B saying, "I'm heading to an evacuation site."

[1526] The server receives this message and forwards it to User B.

[1527] User B receives the message and replies.

[1528] Scenario 4: Generative AI support

[1529] The user launches the chatbot function and types a question: "What should I do next?"

[1530] The generative AI on the server analyzes the question, generates an appropriate answer, and responds to the user, for example, "Please go to an evacuation shelter and ensure your safety."

[1531] Scenario 5: Emotion recognition and response with an emotion engine

[1532] Users enter text or voice messages expressing their feelings within the app.

[1533] The device's built-in emotion engine analyzes the user's emotions from the input data and determines the level of anxiety and stress.

[1534] The server's generative AI generates a support message based on the user's emotional data and responds to them accordingly. For example, if the user is feeling very anxious, it generates a message such as "Try taking a deep breath in a relaxing place."

[1535] Scenario 6: Serving Auto-Generated Content

[1536] The server automatically generates relaxing music using generative AI.

[1537] The content is sent to the terminal, and the user plays relaxing music to relieve stress.

[1538] In this way, the present invention realizes a system that ensures communication and information provision during disasters, and furthermore, recognizes the user's emotions using an emotion engine and responds appropriately accordingly, thereby comprehensively reducing the user's anxiety and stress.

[1539] The processing flow will be explained below.

[1540] Step 1:

[1541] The server is enabled to function as a Wi-Fi access point and broadcasts Wi-Fi with a specific SSID and password.

[1542] What happens: The server starts the Wi-Fi module, sets up an SSID called "disaster_network", sets a password and allows the connection.

[1543] Step 2:

[1544] On the device, select "disaster_network" on the Wi-Fi settings screen and enter the specified password to connect.

[1545] How it works: Select "disaster_network" from your device's Wi-Fi list, enter the password and establish a connection.

[1546] Step 3:

[1547] The terminal starts a dedicated application and sends a connection request to the server.

[1548] How it works: The dedicated app obtains the server's IP address (e.g., 192.168.1.1) and sends a connection request using the connection protocol (e.g., HTTP / HTTPS).

[1549] Step 4:

[1550] The server receives the connection request and begins the authentication process.

[1551] Operation: The server verifies the user data, and if authentication is successful, it returns a response according to the request from the dedicated app.

[1552] Step 5:

[1553] The server provides the latest disaster information and news data that it has cached in advance to connected devices.

[1554] How it works: The server loads news and official information from the city or town from its cache and sends it to the device.

[1555] Step 6:

[1556] Users can send messages to other users using the chat function within the dedicated application.

[1557] Operation: User A enters a chat message and presses the "Send" button, and the message data is sent to the server.

[1558] Step 7:

[1559] The server receives a message from user A, identifies the destination user B, and forwards the message data.

[1560] Operation: The server obtains the IP address of the destination user B and sends the message to user B.

[1561] Step 8:

[1562] User B receives the message using a dedicated application and replies.

[1563] Action: User B reads the chat message, types a reply message if necessary, and sends it.

[1564] Step 9:

[1565] Users activate the chatbot function within the dedicated app and input their questions or inquiries into the generative AI.

[1566] What happens: The user types "What should I do next?" and presses the "Submit" button.

[1567] Step 10:

[1568] The server activates the generative AI, analyzes the user's question, generates an appropriate answer, and sends the response to the device.

[1569] How it works: The generative AI analyzes the question and generates an appropriate answer, such as "Go to an evacuation shelter and stay safe," which it returns to the user.

[1570] Step 11:

[1571] Users enter text or voice messages expressing their feelings within the app.

[1572] How it works: Emotion data is collected through the device's microphone or text input, and the emotion engine analyzes the data.

[1573] Step 12:

[1574] The device's built-in emotion engine analyzes the user's emotions from the input data and determines the level of anxiety and stress.

[1575] How it works: The emotion engine analyzes text and audio data and generates emotion tags such as "anxiety," "fear," and "relief."

[1576] Step 13:

[1577] The server's generative AI generates a response appropriate to the user's condition based on the emotional data sent from the emotion engine and sends it to the device.

[1578] How it works: Generative AI analyzes emotional data, generates support messages based on the emotion (e.g., "Try taking a deep breath in a relaxing place"), and responds to the user.

[1579] Step 14:

[1580] The server uses generative AI to automatically generate relaxing content such as music and reading material and provide it to the device.

[1581] How it works: Generative AI generates relaxing content in the background and sends it to your device as data.

[1582] Step 15:

[1583] The terminal receives the provided content, and the user plays or views the content.

[1584] Operation: Provides the received content data to the user through an app for playback and display.

[1585] Example 2

[1586] 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."

[1587] In recent years, there has been an increase in situations where Internet connections are unavailable due to natural disasters and emergency situations. Even in such situations, accurate and prompt information provision and communication between users are necessary. However, with current systems, sufficient information transmission and communication become difficult when Internet connections are cut off. Furthermore, technology to reduce user anxiety and stress during disasters is insufficient. A system that can solve these issues is needed.

[1588] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1589] In this invention, the server includes a local server located on a municipal level, multiple terminals connected within the local network, a terminal including an application for sending data to the local server and receiving data from the local server, a means for providing information via the local network even when an internet connection is unavailable, a chatbot means installed in the local server and using a generative AI model to reduce user anxiety, a means for communicating messages between users via the local server, a means for installing an emotion engine that recognizes user emotions and for the generative AI model to take appropriate action based on the data, a means for providing cached disaster information and news when the internet is available, and a means for automatically generating and providing users with content such as relaxing music and reading material. This enables accurate information to be provided and communication between users to take place even during disasters, regardless of whether the internet is down, thereby further reducing user anxiety and stress.

[1590] A "local server deployed at the municipal level" is hardware that is installed within a specific municipal area and is used to build a local network.

[1591] "Multiple terminals connected within a local network" refers to multiple user devices that are connected to the same local network and are capable of transmitting and receiving data to and from each other.

[1592] The "application for transmitting data to the local server and receiving data from the local server" is software that is installed on a user terminal and that communicates with the local server.

[1593] "Means for providing information via the local network even in situations where an Internet connection is not possible" refers to a function for delivering information to users via the local network even when the Internet is down.

[1594] "Chatbot means installed on the local server and using a generative AI model to reduce user anxiety" refers to an automatic response function built into the local server that uses a generative AI model to respond to user questions and inquiries.

[1595] The "means for communicating messages between users via the local server" refers to a mechanism for users to communicate via a local server in order to send and receive messages to each other.

[1596] "Equipped with an emotion engine that recognizes the user's emotions, and a means for the generative AI model to respond appropriately based on that data" refers to an engine for analyzing the user's emotions and a function that allows the generative AI model to generate an appropriate response based on the results of that analysis.

[1597] "Means for providing cached disaster information and news when the Internet is available" is a function that stores disaster information and news obtained when an Internet connection is available and provides it to users when the Internet is unavailable.

[1598] "Means for automatically generating content such as relaxing music and reading material and providing it to users" refers to a function that uses a generative AI model to automatically generate content such as relaxing music and reading material and delivers it to user devices.

[1599] This invention is a system that connects local servers located in each city, ward, town, or village with multiple terminals via a local network, enabling information provision and communication between users even in situations where the Internet is down. Furthermore, it combines functions to reduce user anxiety using a generative AI model, functions to alleviate psychological stress with automatically generated content, and an emotion engine that recognizes user emotions.

[1600] Hardware and Software Configuration

[1601] The servers are located in each city, town, or village. To provide a local network, they act as Wi-Fi access points (e.g., TP-Link Archer C7) and use local servers such as Synology NAS.

[1602] The terminal refers to the user's smartphone or PC, which functions as the interface between the user and the system.

[1603] The software includes dedicated applications (e.g., Custom Disaster App), emotion engines (e.g., Affectiva SDK), and generative AI engines (e.g., OpenAI GPT-3).

[1604] Server Configuration

[1605] The server broadcasts Wi-Fi with the appropriate SSID (e.g., disaster_network) and password, allowing devices within range to connect.

[1606] User Connections

[1607] The user's device (smartphone or PC) connects to the disaster_network via Wi-Fi and launches a dedicated application, which obtains the server's IP address and attempts to connect.

[1608] Providing information

[1609] The server provides the latest cached disaster information when the Internet is available. For example, the server reads information from a news database stored in local storage and sends it to the device. Users can then view the latest news and disaster information through a dedicated application.

[1610] User-to-User Communication

[1611] Users send messages to other users using a dedicated application. The server receives the messages and forwards them to the destination users, realizing real-time communication. For example, if user A sends a message saying "I'm heading to an evacuation site," the message will be forwarded to user B via the server.

[1612] Generative AI support

[1613] Users can ask questions or ask for advice using the chatbot function within the dedicated application. The server's generative AI model analyzes the question and generates an appropriate answer. For example, in response to the question, "What should I do next?", the response would be, "Go to an evacuation shelter and ensure your safety."

[1614] Emotion recognition by emotion engine

[1615] The device is equipped with an emotion engine that analyzes emotions from the user's input data and voice data. This analyzed data is sent to the generative AI, which responds appropriately to the user based on the emotional data. For example, if the user is feeling anxious, it generates a support message such as, "Try taking a deep breath in a relaxing place."

[1616] Providing auto-generated content

[1617] The server uses a generative AI model to automatically generate relaxing music and reading material, which are then provided to the device, allowing users to play relaxing music to relieve stress.

[1618] Prompt Sentence Examples

[1619] "Please tell me what to do in the event of a disaster."

[1620] "Please let me know what preparations I need to make in this situation."

[1621] "Please tell me how to feel safe at the evacuation shelter."

[1622] The system of this invention provides accurate information and ensures communication between users during disasters through a local network, and also provides psychological support using an emotion engine and generative AI model, thereby realizing a mechanism to comprehensively reduce users' anxiety and stress.

[1623] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1624] Step 1:

[1625] Server-based Wi-Fi access point configuration

[1626] Input: SSID and password information contained in the local server's initial configuration file

[1627] What happens: The server loads the initial configuration file, sets the SSID to "disaster_network" and the password, then enables Wi-Fi broadcasting.

[1628] Output: The configured Wi-Fi access point "disaster_network" will be broadcast and devices within range will be able to connect.

[1629] Step 2:

[1630] Wi-Fi connection of user device

[1631] Input: Select the SSID and enter the password in the Wi-Fi settings of the user device

[1632] Specific operation: The device selects "disaster_network" from the Wi-Fi network list and connects by entering the set password.

[1633] Output: The device is connected to the local network.

[1634] Step 3:

[1635] Launching the dedicated application and attempting to connect to the server

[1636] Input: IP address information of the dedicated application installed on the device and the server

[1637] Specific operation: The user of the device launches a dedicated application, which obtains the server's IP address and attempts to connect.

[1638] Output: Communication between the device and the server is established.

[1639] Step 4:

[1640] Providing cached information from the server

[1641] Input: Pre-cached disaster information and news data

[1642] Specific operation: The server reads information from disaster information and news databases stored in local storage and sends it to the terminal via a dedicated application.

[1643] Output: Users can view the latest disaster information and news through a dedicated application on their device.

[1644] Step 5:

[1645] Sending and receiving messages between users

[1646] Input: Message data entered by the user into the dedicated application

[1647] Specific operation: When User A enters the message "Heading to an evacuation site" and presses the send button, the message data is sent to the server. The server receives the message data and forwards it to the intended User B.

[1648] Output: The message is displayed on User B's device and User B can reply to it.

[1649] Step 6:

[1650] Question analysis and answer generation using generative AI

[1651] Input: A question entered by a user into a chatbot within a dedicated application (e.g., "What should I do next?")

[1652] How it works: A user's question is sent to the server, the generative AI model analyzes the prompt and generates an appropriate answer, and the server returns the generated answer to the device.

[1653] Output: The user views the generated answer (e.g., "Go to a shelter and stay safe") in a dedicated app on their device.

[1654] Step 7:

[1655] Emotion analysis and response using an emotion engine

[1656] Input: User input or speech data (e.g., "I'm incredibly anxious").

[1657] How it works: The device's built-in emotion engine analyzes the user's emotions from text and voice data and sends the results to the server. The server's generative AI then generates an appropriate support message (e.g., "Try taking a deep breath in a relaxing place") based on the emotion data and sends it back to the device.

[1658] Output: The user receives a support message generated in a dedicated application on the device.

[1659] Step 8:

[1660] Providing auto-generated content

[1661] Input: User request data, generative AI model

[1662] How it works: Using a generative AI model on the server, it automatically generates relaxing content such as music and reading material, and sends the generated content to the device.

[1663] Output: The user relieves stress by using automatically generated relaxing music and reading material in a dedicated application on the device.

[1664] (Application example 2)

[1665] 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."

[1666] In situations where internet access is unavailable, the challenge is to provide a means for customers to communicate smoothly with each other and with store staff in physical stores, while also reducing customer anxiety and stress. It is also necessary to provide appropriate information in response to rapidly changing situations, providing customers with a sense of security.

[1667] 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.

[1668] In this invention, the server includes a local server located on a municipality basis, a plurality of terminals connected within a local network, a terminal including an application for sending data to the local server and receiving data from the local server, a means for providing information via the local network even when an internet connection is unavailable, a chatbot means installed in the local server and using a generative AI model to reduce user anxiety, a means for communicating messages between users via the local server, a means for automatically generating content and providing it to users, an emotion engine for analyzing user emotions and determining the level of anxiety, a means for generating answers using the generative AI model based on questions entered by users, and a means for providing the generated answers and support messages to the terminals. This enables information provision and communication within a physical store even when an internet connection is unavailable, thereby comprehensively reducing customer anxiety and stress.

[1669] A "local server" is a server that is located on a city, ward, town, or village basis and is connected to multiple terminals within a local network.

[1670] A "local network" is a network that allows terminals connected within a specific area to communicate with each other.

[1671] A "terminal" is a device that can send and receive data from the local server.

[1672] An "application" is software that is installed on the terminal and exchanges data with a local server.

[1673] A "generative AI model" is a model that uses artificial intelligence technology to generate appropriate answers to user questions or input.

[1674] A "chatbot" is software that uses generative AI models to assist users in interacting with the system.

[1675] "Messaging" refers to the act of sending and receiving text and voice information between users via a local server.

[1676] "Content generation" refers to the process of using generative AI models to automatically create information and entertainment for users.

[1677] An "emotion engine" is software that analyzes a user's emotions and determines the level of anxiety or stress.

[1678] A "prompt sentence" is the input text that a generative AI model uses to answer a question from a user.

[1679] The system for implementing the present invention comprises a local server located at each municipality, multiple terminals connected to the local network, and terminals that include an application for sending and receiving data to the local server. This system provides information through the local network even in situations where an Internet connection is not possible, and supports communication between users.

[1680] Hardware and software used

[1681] Hardware: Local servers (in-store Wi-Fi routers and server machines), smartphones, PCs

[1682] Software: Python program, socket module, threading module, emotion engine, generative AI model (e.g., Hugging Face's Transformers library)

[1683] Details of data processing and calculation

[1684] Local Server Configuration

[1685] The local server broadcasts Wi-Fi by setting an appropriate SSID and password for each city, town, or village, allowing devices within range to connect to the server. The local server manages the sending and receiving of data between multiple connected devices and supports messaging between users.

[1686] User Connections

[1687] Users connect to the local network through the Wi-Fi settings on their smartphones or PCs and launch a dedicated application, through which they can receive the latest news and disaster information from the server and exchange messages with other users.

[1688] Supported by generative AI models

[1689] Users can use the chatbot function within the application to ask questions or consult with the generative AI model. The local server sends the user's question to the generative AI model, which then generates an appropriate answer and provides it to the user. This function helps reduce anxiety during disasters.

[1690] Emotion recognition by emotion engine

[1691] The text and voice data entered by the user is analyzed by the device's built-in emotion engine. The emotion engine analyzes the user's emotions and determines the level of anxiety and stress. The analysis results are sent to a generative AI model, which then responds appropriately based on the user's emotional state.

[1692] Providing auto-generated content

[1693] The local server uses a generative AI model to automatically generate relaxing content such as music and reading material, which is then delivered to the device and used by the user to relieve psychological stress.

[1694] Specific scenarios

[1695] Scenario 1: Building and connecting a local network

[1696] The server broadcasts Wi-Fi with the SSID "disaster_network." Devices connect to the server by connecting to "disaster_network" in their Wi-Fi settings and launching a dedicated application.

[1697] Scenario 2: Obtaining Information

[1698] The server provides the latest cached disaster information to the device when the internet is available, and users can view the latest news and disaster information through a dedicated application.

[1699] Scenario 3: User-to-User Communication

[1700] User A uses the chat function to send a message to User B saying, "I'm heading to an evacuation site." The server receives this message and forwards it to User B. Communication is established when User B receives the message and replies.

[1701] Scenario 4: Supported by generative AI models

[1702] The user activates the chatbot function and inputs a question such as, "What should I do next?" The server's generative AI model analyzes this question and generates an appropriate response, such as, "Go to an evacuation shelter and ensure your safety," which is provided to the user.

[1703] Scenario 5: Emotion recognition and response with an emotion engine

[1704] When a user inputs a text or voice message, it is analyzed by the emotion engine to determine the level of anxiety or stress. Based on this, the generative AI model generates an appropriate support message and provides it to the user. For example, it generates a message such as, "Try taking a deep breath in a relaxing place."

[1705] Scenario 6: Serving Auto-Generated Content

[1706] The local server automatically generates relaxing music using a generative AI model and transmits the content to the device, where the user can play the relaxing music to relieve psychological stress.

[1707] Prompt Sentence Examples

[1708] "What should I do next?"

[1709] "What are the current evacuation orders?"

[1710] "I'm so stressed I don't know what to do, please give me some advice."

[1711] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1712] Step 1:

[1713] The server broadcasts Wi-Fi by city, town, or district with the appropriate SSID and password, allowing devices within range to connect to the server. The input is the server's initial configuration data, and the output is the broadcast of the Wi-Fi network. This step configures and starts the Wi-Fi router.

[1714] Step 2:

[1715] The user connects to a local network from the Wi-Fi settings of their smartphone or PC and launches a dedicated application. The input includes the user's Wi-Fi connection settings and application launch operation, and the output is the smartphone or PC connected to the local network. In this step, the device connects to Wi-Fi and the application is initialized.

[1716] Step 3:

[1717] The terminal starts communication with the server via the local network. The server assigns a unique ID to each connected terminal. The input is the connection request and authentication information from the terminal, and the output is the unique ID assigned to the terminal and a message confirming the connection establishment. This step involves network authentication and connection management.

[1718] Step 4:

[1719] The user requests the latest news or disaster information through a dedicated application. The server provides the latest cached disaster information when the Internet is available. The input is the user's information request and the server's cached data, and the output is the latest news or disaster information. In this step, information is searched from the database and the data is sent to the user.

[1720] Step 5:

[1721] The user uses the chatbot function within the application to ask questions or ask the generative AI model for advice. The server sends the question data to the generative AI model and obtains a response. The input is the question text and prompt sentence from the user, and the output is the generated response text. In this step, natural language processing and response generation by the generative AI model take place.

[1722] Step 6:

[1723] The generated response text is sent to the user's device and displayed. The input is the response text from the generative AI model, and the output is the response text displayed on the user's screen. In this step, the text message is sent and displayed.

[1724] Step 7:

[1725] The user inputs a text or voice message, which is then analyzed by the device's built-in emotion engine. The input is emotion data (text or voice) from the user, and the output is the analyzed emotion data. In this step, the emotion data is analyzed and evaluated.

[1726] Step 8:

[1727] The analysis results obtained from the emotion engine are sent to the generative AI model, which generates an appropriate response message according to the user's emotional state. The input is the analyzed emotion data, and the output is the response message generated by the generative AI model. In this step, a response is generated based on the emotion data.

[1728] Step 9:

[1729] The server uses a generative AI model to automatically generate relaxing content such as music or reading material and deliver it to the device. The input is the user's request or prompt, and the output is music files or text content. In this step, content generation and delivery take place.

[1730] Step 10:

[1731] The user plays relaxation content on the device to relieve psychological stress. The input is the relaxation content delivered from the server, and the output is the user's relaxation experience. In this step, the content is played and used.

[1732] 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.

[1733] 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.

[1734] 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 robot 414.

[1735] 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.

[1736] FIG. 9 illustrates 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 behaviors 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.

[1737] 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.

[1738] 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).

[1739] 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.

[1740] 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."

[1741] 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.

[1742] 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).

[1743] 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.

[1744] 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.

[1745] 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.

[1746] 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.

[1747] The hardware resource for executing a specific process can be any of the following types of processors: A processor, for example, 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 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.

[1748] 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.

[1749] 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.

[1750] 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.

[1751] 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.

[1752] 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.

[1753] The following is further disclosed regarding the above embodiment.

[1754] (Claim 1)

[1755] Local servers located on a city, ward, town, or village basis;

[1756] A plurality of terminals connected within a local network;

[1757] a terminal including an application for sending data to the local server and receiving data from the local server;

[1758] means for providing information via the local network even in a situation where an Internet connection is not possible;

[1759] a chatbot means using generative AI installed in the local server to reduce user anxiety;

[1760] means for communicating messages between users via the local server;

[1761] A means for automatically generating content and providing it to users;

[1762] A system including:

[1763] (Claim 2)

[1764] 2. The system according to claim 1, wherein the local server further comprises means for caching the latest disaster information and news data from municipalities and providing the same to the terminal.

[1765] (Claim 3)

[1766] 2. The system according to claim 1, wherein the generative AI includes means for analyzing a question from a user, generating an appropriate answer, and transmitting the response to the terminal.

[1767] "Example 1"

[1768] (Claim 1)

[1769] Local servers located on a city, ward, town, or village basis;

[1770] A plurality of terminals connected within a local network;

[1771] a terminal including an application for sending data to the local server and receiving data from the local server;

[1772] means for providing information via the local network even in a situation where an Internet connection is not possible;

[1773] a chatbot means using generative AI installed in the local server to reduce user anxiety;

[1774] means for communicating messages between users via the local server;

[1775] A means for automatically generating content and providing it to users;

[1776] means for the local server to forward messages received from the user terminal to a destination terminal;

[1777] a means for the local server to automatically generate and provide relaxing content such as music and reading material to the user;

[1778] A system including:

[1779] (Claim 2)

[1780] 2. The system according to claim 1, wherein the local server further comprises means for caching the latest disaster information and news data from municipalities and providing the same to the terminal.

[1781] (Claim 3)

[1782] 2. The system according to claim 1, wherein the generative AI includes means for analyzing a question from a user, generating an appropriate answer, and transmitting the response to the terminal.

[1783] "Application Example 1"

[1784] (Claim 1)

[1785] Local servers located on a city, ward, town, or village basis;

[1786] A plurality of terminals connected within a local network;

[1787] a terminal including an application for sending data to the local server and receiving data from the local server;

[1788] means for providing information via the local network even in a situation where an Internet connection is not possible;

[1789] a chatbot means using generative AI installed in the local server to reduce user anxiety;

[1790] means for communicating messages between users via the local server;

[1791] A means for automatically generating content and providing it to users;

[1792] A means for generating and providing a response to a user question using generative AI;

[1793] A means for providing disaster information to a user's smart device;

[1794] A system including:

[1795] (Claim 2)

[1796] 2. The system according to claim 1, wherein the local server further comprises means for caching the latest disaster information and news data from municipalities and providing the same to the terminal.

[1797] (Claim 3)

[1798] 2. The system according to claim 1, wherein the generative AI includes means for analyzing a question from a user, generating an appropriate answer, and transmitting the response to the terminal.

[1799] "Example 2: Combining Emotion Engines"

[1800] (Claim 1)

[1801] Local servers located on a city, ward, town, or village basis;

[1802] A plurality of terminals connected within a local network;

[1803] a terminal including an application for sending data to the local server and receiving data from the local server;

[1804] means for providing information via the local network even in a situation where an Internet connection is not possible;

[1805] A chatbot means installed on the local server and using a generative AI model to reduce user anxiety;

[1806] means for communicating messages between users via the local server;

[1807] It is equipped with an emotion engine that recognizes the user's emotions, and the generative AI model responds appropriately based on that data.

[1808] A means of providing cached disaster information and news when the internet is available;

[1809] A means to automatically generate and provide users with relaxing content such as music and reading material;

[1810] A system including:

[1811] (Claim 2)

[1812] 2. The system according to claim 1, wherein the local server further comprises means for caching the latest disaster information and news data from municipalities and providing the same to the terminal.

[1813] (Claim 3)

[1814] The system according to claim 1, wherein the generative AI model includes means for analyzing a prompt sentence in response to a question from a user, generating an appropriate answer, and transmitting the response to the terminal.

[1815] "Application example 2 when combining emotion engines"

[1816] (Claim 1)

[1817] Local servers located on a city, ward, town, or village basis;

[1818] A plurality of terminals connected within a local network;

[1819] a terminal including an application for sending data to the local server and receiving data from the local server;

[1820] means for providing information via the local network even in a situation where an Internet connection is not possible;

[1821] A chatbot means installed on the local server and using a generative AI model to reduce user anxiety;

[1822] means for communicating messages between users via the local server;

[1823] A means for automatically generating content and providing it to users;

[1824] an emotion engine that analyzes the user's emotions and determines the level of anxiety;

[1825] A means for generating an answer using a generative AI model based on a question input by a user;

[1826] means for providing the generated answer or assistance message to said terminal;

[1827] A system including:

[1828] (Claim 2)

[1829] 2. The system according to claim 1, wherein the local server further comprises means for caching the latest disaster information and news data from municipalities and providing the same to the terminal.

[1830] (Claim 3)

[1831] The system according to claim 1, wherein the generative AI model includes means for analyzing a question from a user, generating an appropriate answer, and transmitting the response to the terminal. [Explanation of symbols]

[1832] 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. Local servers located on a city, ward, town, or village basis; A plurality of terminals connected within a local network; a terminal including an application for sending data to the local server and receiving data from the local server; means for providing information via the local network even in a situation where an Internet connection is not possible; a chatbot means using generative AI installed in the local server to reduce user anxiety; means for communicating messages between users via the local server; A means for automatically generating content and providing it to users; A system including:

2. 2. The system according to claim 1, further comprising means for caching the latest disaster information and news data from municipalities and providing the same to said terminal.

3. The system according to claim 1, wherein the generative AI includes means for analyzing a question from a user, generating an appropriate answer, and transmitting the response to the terminal.

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