System

Abstract

A system is provided.SOLUTION: A system comprising: means for receiving a question inputted by a user; means for analyzing the received question and collecting profile data of the user and real-time data from an infrastructure of a city; means for generating optimal information for the user using an AI generated based on the collected data; and means for providing the generated information to the user.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] Urban residents and visitors must gather a great deal of information to make their daily lives more efficient, but they often feel stressed by information overload and inaccuracy. Elderly people, in particular, face the complexity of technology and have difficulty accessing and using information. Furthermore, time management is difficult in their busy daily lives, and they often waste time optimizing their commute routes and gathering event information. To address these challenges, a system is needed that provides users with personalized, real-time information and supports their daily lives. [Means for solving the problem]

[0005] The present invention provides a system that includes a means for receiving a question entered by a user, analyzing the received question, and collecting the user's profile data and real-time data from a city's infrastructure. The system also includes a means for generating optimal information for the user using a generation AI based on the collected data, and a means for providing the generated information to the user. The system further includes a generation AI means for receiving the user's location information and destination information, collecting real-time traffic information, and calculating the optimal route, and a means for providing the calculated route to the user. This allows users to efficiently obtain a wide variety of information, reducing stress in their daily lives and optimizing their time.

[0006] "Users" refer to city residents and visitors who use the system.

[0007] "Terminal" refers to an electronic device through which a user can input information and receive information from the system.

[0008] "Server" refers to a central control device that collects data, analyzes it, generates information using AI, and communicates with terminals.

[0009] "Generative AI" refers to artificial intelligence technology that generates optimal information based on input data.

[0010] "Profile Data" refers to data about a user's personal information, preferences, and interests.

[0011] "Urban infrastructure" refers to the systems that support the basic functions of a city, such as public transportation, roads, and public facilities.

[0012] "Real-time data" refers to information currently available as an event occurs, with almost no time lag.

[0013] "Optimal information" refers to the information that best suits the user's needs, suggested by the generative AI based on collected data and the user's profile.

[0014] A "commuting route" refers to the route taken from a user's current location to a destination (usually the workplace).

[0015] "Event information" refers to information about events or activities related to a user's interests or schedule. [Brief explanation of the drawings]

[0016] [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

[0017] 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.

[0018] First, the terms used in the following description will be explained.

[0019] 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).

[0020] 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.

[0021] 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.

[0022] 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.

[0023] 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."

[0024] [First embodiment]

[0025] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0026] 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.

[0027] 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).

[0028] 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.

[0029] 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.

[0030] 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.

[0031] 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.

[0032] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0033] 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.

[0034] 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.

[0035] 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.

[0036] 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."

[0037] The system of this invention utilizes artificial intelligence (AI) to support the daily lives of city residents and visitors. The system consists of a terminal used by the user and a server that collects and analyzes data.

[0038] System Overview

[0039] First, the user accesses the system using a terminal. The terminal can be a smartphone, tablet, PC, or other device that is easy for the user to use. The user enters their information, questions, destination, etc. into the terminal and sends it to the server. The server uses generative AI to generate information that is optimal for the user based on the collected data and the user's profile data, and sends it back to the terminal.

[0040] Program processing (overview)

[0041] 1. User Registration:

[0042] Users use the terminal to enter information such as their name, age, interests, and daily routine.

[0043] The terminal sends this information to the server, which stores it in a database.

[0044] 2. Real-time data collection:

[0045] The server collects real-time data from the city's infrastructure, public services, and commercial facilities.

[0046] The terminal receives the information required by the user from the server in real time and displays it to the user.

[0047] 3. Personalized information provision:

[0048] The server uses generative AI based on the user's profile data to generate optimal information.

[0049] The terminal displays the generated personalized information to the user.

[0050] 4. Question-answering systems:

[0051] The user enters a question into the terminal and sends it to the server.

[0052] The server uses generative AI to generate answers in natural language and send them back to the device.

[0053] The terminal displays this response to the user.

[0054] 5. Commuting optimization:

[0055] The user inputs their current location and destination into the terminal and sends them to the server.

[0056] The server analyzes real-time traffic information and generates the optimal commuting route.

[0057] The terminal displays the generated route to the user.

[0058] 6. Automatic event notification:

[0059] The server generates optimal event information based on the user's interests and schedule.

[0060] The terminal will automatically send event notifications to the user for immediate reference.

[0061] Specific examples

[0062] Example 1: Meal suggestions

[0063] The user inputs a question into the terminal, such as "What restaurant would you recommend for lunch today?"

[0064] The terminal sends this question to the server.

[0065] The server collects the user's profile data, current location, and information about nearby restaurants, and uses generative AI to select the most suitable restaurant.

[0066] The terminal will display "The restaurant recommended for you is XX Cafe."

[0067] Example 2: Commute optimization

[0068] The user types into the terminal, "What is the best route to work?"

[0069] The device sends its current location and company address information to the server.

[0070] The server collects real-time traffic information and uses generative AI to calculate the optimal route.

[0071] The terminal displays the optimal route to the user and provides route guidance.

[0072] As described above, the system of the present invention provides optimal information and suggestions in real time in response to user questions and requests, allowing users to efficiently solve various problems they face in their daily lives.

[0073] The processing flow will be explained below.

[0074] Example 1: Meal suggestions

[0075] Step 1:

[0076] The user inputs a question into the terminal, such as "What restaurant would you recommend for lunch today?"

[0077] Step 2:

[0078] The terminal receives the input question and transmits the question data to the server.

[0079] Step 3:

[0080] The server receives the question and retrieves the user's profile data (past dietary history, lifestyle, etc.) from a database.

[0081] Step 4:

[0082] The server collects real-time information about restaurants near the user's current location from the city's infrastructure.

[0083] Step 5:

[0084] The server uses generative AI to generate optimal lunch suggestions based on the user's profile data and collected restaurant information.

[0085] Step 6:

[0086] The server sends the generated proposal to the terminal.

[0087] Step 7:

[0088] The device converts the received suggestion into a display format and presents it to the user as "The restaurant we recommend for you is XX Cafe."

[0089] Example 2: Commute optimization

[0090] Step 1:

[0091] The user types into the terminal, "What is the best route to work?"

[0092] Step 2:

[0093] The device acquires the user's current location and destination (company address) information and sends it to the server.

[0094] Step 3:

[0095] The server collects real-time traffic information based on the current location and destination information obtained.

[0096] Step 4:

[0097] The server uses a generative AI to calculate the optimal commuting route based on the collected traffic information.

[0098] Step 5:

[0099] The server sends the calculated commute route guidance to the terminal.

[0100] Step 6:

[0101] The terminal converts the received commute route guidance into a display format and presents it to the user.

[0102] Step 7:

[0103] The user checks the presented commute route and starts commuting accordingly.

[0104] Step 8:

[0105] The server monitors real-time traffic information during the commute and sends route changes to the device as needed.

[0106] Step 9:

[0107] If there is a change in the route, the device will immediately notify the user and display the new route.

[0108] Step 10:

[0109] The user continues their commute following the updated route.

[0110] Example 3: Automatic event notification

[0111] Step 1:

[0112] The server retrieves the user's profile data (interests, past event participation history, schedule, etc.) from a database.

[0113] Step 2:

[0114] The server collects event information in real time from the city's infrastructure and commercial facilities.

[0115] Step 3:

[0116] The server uses generative AI to select the most suitable event for the user based on the user's profile data and collected event information.

[0117] Step 4:

[0118] The server sends the selected event information to the terminal and automatically notifies the user.

[0119] Step 5:

[0120] The device converts the received event notification into a display format and presents it to the user as "The event recommended for you is XX Festival."

[0121] Step 6:

[0122] The user checks the presented event information and decides whether or not to participate.

[0123] Example 1

[0124] 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."

[0125] In modern urban life, residents and visitors need to efficiently obtain a wide range of information to smoothly lead their daily lives. However, many currently available information systems are unable to provide information that fully takes into account the individual needs and circumstances of users, resulting in situations where users are unable to fully utilize the information. Furthermore, there is a lack of systems that efficiently provide real-time traffic and event information, making it difficult to quickly resolve the issues users face.

[0126] 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.

[0127] In this invention, the server includes a means for receiving a question entered by a user, a means for analyzing the received question and collecting user profile data and real-time data from the city's infrastructure, and a means for generating optimal information for the user using a generation AI based on the collected data, thereby enabling the provision of optimal information according to the user's individual needs and situation.

[0128] "User" refers to an individual or corporation that uses this system, and is the entity that inputs and receives information through a terminal.

[0129] "Terminal" refers to a device used by a user, such as a smartphone, tablet, or PC, which allows the user to access the system and input and receive information.

[0130] "Server" refers to the computer system that receives and processes data sent by users. It analyzes the data using a generative AI model, generates the necessary information, and returns it to the device.

[0131] "Generative AI" refers to algorithms and models that use artificial intelligence technology to generate optimal information based on user profile data and real-time data. Examples include GPT-3 and BERT.

[0132] "Profile Data" refers to personal information that a user enters into the system, such as name, age, interests, and daily routines.

[0133] "Real-time data" refers to the latest data collected from city infrastructure, public services, and commercial facilities. This data is used by the server to provide users with the most appropriate information.

[0134] A "question" refers to a question or request that a user inputs to the system via a terminal.

[0135] "Location information" refers to data relating to a user's current location or a specific location.

[0136] "Destination information" refers to data relating to a location to which a user wishes to travel.

[0137] "Traffic information" refers to data on road conditions, traffic volume, public transportation operation status, etc. that is updated in real time.

[0138] "Event information" refers to data about events and occasions that a user can participate in, generated by the server based on the user's interests and schedule.

[0139] The system of this invention is an information provision system that utilizes artificial intelligence (AI) to support the daily lives of city residents and visitors. This system consists of a terminal used by the user and a server that collects and analyzes data.

[0140] First, the user accesses the system using a terminal. The terminal can be a smartphone, tablet, PC, or any other device that the user finds easy to use. The user enters their information, questions, current location, and destination into the terminal, and then sends it to the server.

[0141] The server uses the following hardware and software:

[0142] Hardware: High-performance servers, storage systems, network equipment

[0143] Software: Database management systems (e.g., MySQL, PostgreSQL), generative AI models (e.g., GPT-3, BERT), real-time data collection APIs (e.g., traffic information APIs, weather data APIs)

[0144] The specific system processes are as follows:

[0145] User Registration

[0146] Users use the terminal to enter information such as their name, age, interests, and daily routine.

[0147] The terminal sends this information to the server, which stores it in a database.

[0148] Real-time data collection

[0149] The server collects real-time data from city infrastructure, public services, and commercial facilities, specifically through traffic information APIs and weather data APIs.

[0150] The terminal receives the information required by the user in real time and displays it to the user.

[0151] Personalized information provision

[0152] The server uses a generative AI model based on the user's profile data to generate information that is optimal for the user.

[0153] The terminal displays the generated personalized information to the user.

[0154] Question-answering system

[0155] The user types a question into the terminal and sends it to the server, for example, "What's the weather like today?"

[0156] The server uses generative AI to generate answers in natural language and send them back to the device.

[0157] The device displays this answer to the user, for example, "Today's weather is sunny."

[0158] Commuting optimization

[0159] The user inputs their current location and destination into the terminal and sends them to the server.

[0160] The server analyzes real-time traffic information and generates the optimal commute route, for example, by using the Google Maps API to check traffic conditions.

[0161] The terminal displays the generated route to the user and provides route guidance.

[0162] Automatic event notification

[0163] The server generates optimal event information based on the user's interests and schedule.

[0164] The device will automatically send event notifications to users for quick reference, such as "The following events are recommended for you: XX Festival."

[0165] As a concrete example, if a user asks, "What restaurant do you recommend for lunch today?", the following prompt sentence is input to the generative AI model:

[0166] "Can you recommend a place for me to have lunch? I like Japanese food."

[0167] Or, in the case of commute optimization, the user types, "What is the best route to work?":

[0168] "What is the best route to commute from my current location to work?"

[0169] In this way, the present invention can provide optimal information and suggestions in real time in response to a wide range of user needs, thereby improving the quality of life of users.

[0170] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0171] Step 1: User Registration

[0172] Input: The user uses the device to enter information such as name, age, interests, and daily routine.

[0173] Specific operation: The information entered by the user is entered into the form fields of the terminal, and the terminal collects this information as a data object.

[0174] Data processing: The terminal converts the input information into JSON format and sends it to the server.

[0175] Output: The server receives the JSON data and stores it in a database using a database management system such as MySQL or PostgreSQL.

[0176] Step 2: Real-time data collection

[0177] Input: The server collects real-time data from the city's infrastructure, public services, and commercial facilities.

[0178] Specific operation: The server calls dedicated APIs (e.g., traffic information API, weather data API) to collect data.

[0179] Data processing: The collected data is analyzed on the server and converted into the required format (e.g., JSON or XML).

[0180] Output: The analyzed real-time data is stored in a database.

[0181] Step 3: Personalized communication

[0182] Input: User profile data and real-time data.

[0183] How it works: The server inputs the user's profile data and a prompt into a generative AI model (e.g., GPT-3, BERT). For example, "Please suggest restaurants this user would enjoy."

[0184] Data processing: The generative AI model generates information based on the input prompt and data, using natural language processing (NLP) algorithms.

[0185] Output: The generated information is sent to a terminal, which displays it visually to the user.

[0186] Step 4: Question-Answering System

[0187] Input: The user types a question into the terminal. Example: "What's the weather like today?"

[0188] Specific operation: The terminal sends the question to the server as text data.

[0189] Data processing: The server inputs the question into a generative AI model to generate an appropriate answer.

[0190] Output: The server sends the generated answer back to the device, which displays it to the user. Example: "The weather is sunny today."

[0191] Step 5: Commute optimization

[0192] Input: The user inputs their current location and destination information into the device. Example: "Current location: XX, Destination: Company."

[0193] Specific operation: The terminal sends this information to the server.

[0194] Data processing: The server retrieves real-time traffic information from the API and calculates the optimal commuting route using a generative AI model.

[0195] Output: The optimal route information is sent to the device, which displays it to the user. Example: "Optimal route: via XX street."

[0196] Step 6: Automatic event notification

[0197] Input: User interests and schedule information.

[0198] What it does: The server uses a generative AI model to select relevant events based on the user's interests and schedule. Example: "This week's events list suitable for this user."

[0199] Data processing: The generative AI model generates event information and customizes it for each user.

[0200] Output: Event information is sent to the device and a notification is automatically displayed. Example: "The following events are recommended for you: XX Festival."

[0201] (Application example 1)

[0202] 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."

[0203] Conventional systems have focused on question-answering and navigation to support users' daily lives, but have been limited in providing information on urban security. In particular, there is a demand for systems that provide safe route guidance and emergency response based on real-time security-related data, such as crime occurrence information. The problem that this invention aims to solve is to improve security within cities and provide an environment in which users can act safely.

[0204] 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.

[0205] In this invention, the server includes a means for updating the user's current location information, a means for collecting security-related data, and a means for evaluating the user's safety based on the collected data and providing advice, thereby enabling the user to obtain accurate security information in real time and take safe actions.

[0206] "User" means an individual or organization that uses this system.

[0207] "Current location information" is real-time location data acquired by a terminal such as a user's smartphone.

[0208] "Profile Data" is data provided by a user that includes personal data such as basic information, interests, daily routines, and schedules.

[0209] "Real-time data" refers to data that includes the latest information collected from city infrastructure, public services, and commercial facilities.

[0210] "Generative AI" is an artificial intelligence technology that generates optimal information based on collected data and user profile data.

[0211] "Security-related data" refers to data related to safety, such as crime occurrence information and emergency information.

[0212] "Advice" is a safety suggestion or recommendation that the generative AI provides to the user based on collected data.

[0213] "Traffic information" refers to real-time data such as current traffic conditions, congestion, and accident information.

[0214] The "optimal route" is the most efficient and safest travel route for the user calculated by the generation AI.

[0215] "Emergency Contact" is a function that allows users to contact the police or other safety agencies in an emergency.

[0216] MODE FOR CARRYING OUT THE INVENTION

[0217] The system of the present invention improves security within cities and provides an environment in which users can act safely. This system consists of a user's terminal and a server that collects and analyzes data.

[0218] System Overview

[0219] User terminal

[0220] Users access this system using devices such as smartphones and tablets. They register their own profile data and input their current location and destination information into the device.

[0221] server

[0222] The server includes the following means:

[0223] 1. A way to update the user's location

[0224] The current location information sent from the user terminal is updated in real time to the server and stored in a database.

[0225] 2. How we collect security-related data

[0226] The server collects security-related data, such as crime and emergency information, from city infrastructure, public services, commercial facilities, etc.

[0227] 3. Using generative AI to provide advice

[0228] The server uses a generative AI based on the collected data and the user's profile data to generate optimal security advice for the user, which is then sent to the user's device.

[0229] 4. A way to calculate the optimal route

[0230] Based on the destination information entered by the user and real-time traffic information, the AI ​​generates the safest route, which is also sent to the user's device.

[0231] 5. Emergency Contact Methods

[0232] It provides a function for users to contact the police or other safety agencies in case of an emergency. This function allows users to instantly contact the nearest police station with a single button on the device.

[0233] Program processing overview

[0234] Hardware and Software Configuration

[0235] 1. User Device

[0236] Hardware: Smartphones, tablets

[0237] Software: Mobile applications, GPS systems

[0238] 2. Server

[0239] Hardware: Data collection server, database server

[0240] Software: Crime information API (e.g., https: / / example.com / crime_data), generative AI models, and data analysis tools

[0241] Data processing and calculation

[0242] The server evaluates the user's current location information based on the crime information API and generates optimal security advice using a generative AI model. It also collects real-time traffic information and uses generative AI to calculate safe routes. This information is sent to the user's device and displayed on the screen.

[0243] Specific examples

[0244] Example 1: Providing security advice

[0245] When a user types "Is my current location safe?", the server retrieves real-time data from a crime information API based on the user's current location and evaluates safety using a generative AI model. As a result, it generates advice such as "This area is currently dangerous. Caution is advised" and displays it on the user's device.

[0246] Prompt Sentence Examples

[0247] My location is {user_location}. Is this area safe?

[0248] Example 2: Safe Route Guidance

[0249] When a user types "Tell me the best route to home," the server retrieves real-time traffic and crime information, calculates a safe and efficient route using a generative AI model, and sends it to the user's device.

[0250] Prompt Sentence Examples

[0251] Guide me to my home safely from {current_location} considering current traffic and crime data.

[0252] Through such an embodiment, the system of the present invention can provide users with real-time security information and support safe daily life.

[0253] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0254] Step 1:

[0255] The user inputs his / her current location information using the terminal, which then transmits the information to the server.

[0256] Input: User's current location information

[0257] Output: Location information sent to the server

[0258] Specific operation: The user opens the application on their smartphone, enables the GPS function, and registers their current location in the application. The device then sends that information to the server in real time.

[0259] Step 2:

[0260] The server stores the received location information in a database and collects crime occurrence information related to that location.

[0261] Input: Current location information

[0262] Output: Current location information stored in the database and crime occurrence information obtained

[0263] Specific operation: The server stores the current location information in a database and calls an external crime information API to obtain the latest crime occurrence data for that location.

[0264] Step 3:

[0265] The server uses generative AI to analyze the collected crime occurrence information and evaluate the safety of the location.

[0266] Input: Crime occurrence information

[0267] Output: Generated security advice

[0268] How it works: The server inputs crime occurrence information into the generative AI model and evaluates the safety of the area, resulting in a security advice such as "safe" or "dangerous."

[0269] Step 4:

[0270] The server transmits the generated security advice to the user terminal.

[0271] Input: Security Advice

[0272] Output: Security advice sent to the user's device

[0273] Specific operation: The server converts the security advice generated by the generation AI into text format and sends it to the user's smartphone.

[0274] Step 5:

[0275] The user checks the received security advice on the terminal.

[0276] Input: Security Advice

[0277] Output: Security advice confirmed

[0278] Specific actions: The user checks the notification on their smartphone, opens the application and views the security advice.

[0279] Step 6:

[0280] The user inputs a destination and sends it from the terminal to the server.

[0281] Input: Destination information

[0282] Output: Destination information sent to the server

[0283] Specific operation: A user uses an application to input a destination and sends that information to a server.

[0284] Step 7:

[0285] The server collects real-time traffic and crime information based on current location and destination information.

[0286] Input: current location information, destination information

[0287] Output: Collected real-time traffic and crime information

[0288] Specific operation: The server calls the external traffic information API and previously obtained crime information API to obtain the latest traffic information and crime information between the current location and the destination.

[0289] Step 8:

[0290] The server uses a generative AI to calculate the safest route and sends that information to the user's device.

[0291] Input: current location, destination, real-time traffic information, crime information

[0292] Output: Calculated safe route

[0293] How it works: The server inputs all collected data into a generative AI model to calculate the optimal and safest route for the user, and then sends the results in text format to the user's smartphone.

[0294] Step 9:

[0295] The user checks the optimal route received on the terminal and moves according to the instructions.

[0296] Input: Optimal route information

[0297] Output: Optimal route confirmed

[0298] Specific operation: The user checks the received optimal route on the application and follows the route. The device provides real-time navigation through the route guidance function.

[0299] 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.

[0300] The system of this invention utilizes artificial intelligence (AI) and an emotion engine to support the daily lives of city residents and visitors. The system consists of a terminal used by the user and a server that collects and analyzes data.

[0301] System Overview

[0302] Users access the system using a terminal. A variety of devices can be used as terminals, including smartphones, tablets, and PCs. Users enter their personal information, questions, destinations, etc. into the terminal and send it to the server. The server uses generative AI and an emotion engine to generate optimal information for the user based on the collected data and the user's profile and emotion data, and sends it back to the terminal.

[0303] Program processing (overview)

[0304] 1. User Registration:

[0305] Users use the terminal to enter information such as their name, age, interests, and daily routine.

[0306] The terminal sends this information to the server, which stores it in a database.

[0307] 2. Real-time data collection:

[0308] The server collects real-time data from the city's infrastructure, public services, and commercial facilities.

[0309] The terminal receives the information required by the user from the server in real time and displays it to the user.

[0310] 3. Personalized information provision:

[0311] The server uses generation AI based on the user's profile data and emotion data obtained from the emotion engine to generate optimal information.

[0312] The terminal displays the generated personalized information to the user.

[0313] 4. Question-answering systems:

[0314] The user enters a question into the terminal and sends it to the server.

[0315] The server uses generative AI to generate natural language responses and adjusts the tone of the response based on feedback from the emotion engine.

[0316] The terminal displays this response to the user.

[0317] 5. Commuting optimization:

[0318] The user inputs their current location and destination into the terminal and sends them to the server.

[0319] The server analyzes real-time traffic information and generates the optimal commuting route.

[0320] The terminal displays the generated route to the user.

[0321] 6. Automatic event notification:

[0322] The server generates optimal event information based on the user's interests and emotional data.

[0323] The terminal will automatically send event notifications to the user for immediate reference.

[0324] Specific examples

[0325] Example 1: Meal suggestions

[0326] The user inputs a question into the terminal, such as "What restaurant would you recommend for lunch today?"

[0327] The terminal sends this question to the server.

[0328] The server collects the user's profile data and current location, as well as the emotional state obtained from the emotion engine and information on nearby restaurants, and uses generative AI to select the most suitable restaurant.

[0329] The device will display, "The restaurant recommended for you is XX Cafe. Wouldn't you like a place to relax a bit today?"

[0330] Example 2: Commute optimization

[0331] The user types into the terminal, "What is the best route to work?"

[0332] The device sends its current location and company address information to the server.

[0333] The server collects real-time traffic information based on the current location and destination information obtained, as well as the stress level obtained from the emotion engine.

[0334] The server uses a generative AI to calculate the optimal commuting route that avoids congestion.

[0335] The device will display a message to the user saying, "We recommend combining trains and buses to avoid the current congestion."

[0336] summary

[0337] The system of the present invention provides optimal information and suggestions in real time in response to user questions and requests. Furthermore, by combining it with an emotion engine, it becomes possible to provide personalized services that correspond to the user's emotional state. This allows users to efficiently solve various problems they face in their daily lives and obtain a more satisfying experience.

[0338] The processing flow will be explained below.

[0339] Example 1: Meal suggestions

[0340] Step 1:

[0341] The user inputs a question into the terminal, such as "What restaurant would you recommend for lunch today?"

[0342] Step 2:

[0343] The terminal receives the input question and transmits the question data to the server.

[0344] Step 3:

[0345] The server receives the question and retrieves the user's profile data (past dietary history, lifestyle, etc.) from a database.

[0346] Step 4:

[0347] The server collects real-time information about restaurants near the user's current location from the city's infrastructure.

[0348] Step 5:

[0349] The server uses an emotion engine to analyze the user's current emotional state.

[0350] Step 6:

[0351] The server uses generative AI to generate optimal lunch suggestions based on the user's profile data, emotional state, and collected restaurant information.

[0352] Step 7:

[0353] The server sends the generated proposal to the terminal.

[0354] Step 8:

[0355] The device converts the received suggestions into a display format and presents them to the user, saying, "The restaurant we recommend for you is XX Cafe. Wouldn't you like a place where you can relax a bit today?"

[0356] Example 2: Commute optimization

[0357] Step 1:

[0358] The user types into the terminal, "What is the best route to work?"

[0359] Step 2:

[0360] The device acquires the user's current location and destination (company address) information and sends it to the server.

[0361] Step 3:

[0362] The server collects real-time traffic information based on the current location and destination information obtained.

[0363] Step 4:

[0364] The server uses an emotion engine to analyze the user's current emotional state (eg, stress level).

[0365] Step 5:

[0366] The server uses generative AI to calculate the optimal commuting route based on emotional state and traffic information.

[0367] Step 6:

[0368] The server sends the calculated commute route guidance to the terminal.

[0369] Step 7:

[0370] The device converts the received commute route information into a display format and presents it to the user, saying, "To avoid the current congestion, we recommend taking a combination of trains and buses."

[0371] Step 8:

[0372] The user checks the presented commute route and starts commuting accordingly.

[0373] Step 9:

[0374] The server continues to monitor real-time traffic information during the commute.

[0375] Step 10:

[0376] The server sends route changes to the terminal as needed.

[0377] Step 11:

[0378] If there is a change in the route, the device will immediately notify the user and display the new route.

[0379] Step 12:

[0380] The user continues their commute following the updated route.

[0381] Example 3: Automatic event notification

[0382] Step 1:

[0383] The server retrieves the user's profile data (interests, past event participation history, schedule, etc.) from a database.

[0384] Step 2:

[0385] The server collects event information in real time from the city's infrastructure and commercial facilities.

[0386] Step 3:

[0387] The server uses an emotion engine to analyze the user's current emotional state.

[0388] Step 4:

[0389] The server uses generative AI to generate optimal event information based on the user's profile data, emotional state, and collected event information.

[0390] Step 5:

[0391] The server sends the selected event information to the terminal and automatically notifies the user.

[0392] Step 6:

[0393] The device converts the received event notification into a display format and presents it to the user, saying, "The event we recommend for you is XX Festival. You'll have a great time."

[0394] Step 7:

[0395] The user checks the presented event information and decides whether or not to participate.

[0396] Example 2

[0397] 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."

[0398] In modern urban life, a great deal of information is provided in real time, but there is a lack of systems that provide only the most appropriate information for the user. There is also a demand for personalized information provision that responds to the user's situation and emotions. In particular, question-answering systems must be able to respond in a natural tone, and traffic information must be able to present optimal routes in real time, as well as automatically notify users of event information.

[0399] 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.

[0400] In this invention, the server includes means for receiving a question entered by a user, means for analyzing the received question and collecting user profile data and real-time data from city infrastructure, means for generating optimal information for the user using a generation AI based on the collected data, means for utilizing an emotion engine for adjusting the tone of the generated information, and means for transmitting the optimal information to the terminal and providing it to the user, thereby enabling a personalized response to the user's question in a natural tone.

[0401] The server further includes a means for receiving the user's location information and destination information, a means for collecting real-time traffic information, a generating AI means for calculating an optimal route based on the collected traffic data and the user's emotion data, and a means for transmitting the calculated route to the terminal and providing it to the user, thereby enabling the user to obtain an optimal commuting route based on real-time traffic conditions.

[0402] Furthermore, the server includes a generating AI means for generating event information based on the user's schedule, interests, and emotion data, and a means for automatically transmitting the generated event information to the terminal and notifying the user, thereby enabling the user to receive optimal event information based on their interests and emotions in real time.

[0403] "User" refers to an individual or organization that uses the system.

[0404] "Terminal" refers to the device used by the user (smartphone, tablet, PC, etc.).

[0405] "Server" refers to a central computer system that collects, analyzes, stores, and generates information.

[0406] "Profile Data" refers to basic information about a user (such as name, age, interests, daily routine, etc.).

[0407] "Real-time data" refers to data obtained instantly from city infrastructure, public services, commercial facilities, etc.

[0408] "Generative AI" refers to artificial intelligence algorithms that generate information or answers from given data.

[0409] An "emotion engine" refers to a system that analyzes a user's emotions and adjusts the tone and content of information based on those emotions.

[0410] "Tone" refers to the expression and nuance of the information and answers produced.

[0411] "Traffic information" refers to road traffic conditions and public transportation operation information.

[0412] "Optimal route" refers to the most efficient route calculated based on real-time conditions.

[0413] "Event Information" refers to system-generated information about events based on specific interests or schedules.

[0414] "Automatic notification" refers to the function by which the system automatically notifies users of event information in real time.

[0415] This invention is a system that utilizes artificial intelligence (AI) and an emotion engine to support the daily lives of city residents and visitors. The system consists of a device used by the user and a server that collects and analyzes data. Specifically, devices such as smartphones, tablets, and PCs can be used, and the server is responsible for collecting, analyzing, and storing data, as well as generating information.

[0416] System configuration

[0417] Terminal: A user accesses the system through a terminal. The terminal receives user input and sends it to the server. It also displays information received from the server to the user.

[0418] Server: The server collects, analyzes, and stores data. Using a generative AI model and emotion engine, the server generates optimal information for the user based on the collected data, user profile data, and emotion data.

[0419] Data collection and analysis

[0420] The server collects real-time data from city infrastructure, public services, commercial facilities, etc. Specifically, APIs and sensor data are used.

[0421] The server uses data aggregation software (e.g., Apache Kafka) to manage real-time data.

[0422] The terminal receives data in real time from the server in response to a user request and displays it to the user.

[0423] Information generation

[0424] The server generates optimal information using a generative AI model (e.g., OpenAI GPT-4) based on the user's profile data and emotion data obtained from the emotion engine.

[0425] The server adjusts the tone of the generated information using an emotion engine powered by IBM Watson or Azure Cognitive Services.

[0426] The terminal displays the personalized information sent from the server to the user.

[0427] Specific examples

[0428] Example 1: Meal suggestions

[0429] The user inputs a question into the terminal, such as "What restaurant would you recommend for lunch today?"

[0430] The terminal sends this question to the server.

[0431] The server collects the user's profile data and current location, as well as the emotional state obtained from the emotion engine and information on nearby restaurants, and uses generative AI to select the most suitable restaurant.

[0432] The device will display, "The restaurant recommended for you is XX Cafe. Wouldn't you like a place to relax a bit today?"

[0433] Example 2: Commute optimization

[0434] The user types into the terminal, "What is the best route to work?"

[0435] The device sends its current location and company address information to the server.

[0436] The server collects real-time traffic information (e.g., Google Maps API or Here API) based on the current location and destination information obtained, as well as the stress level obtained from the emotion engine.

[0437] The server uses a generative AI to calculate the optimal commuting route that avoids congestion.

[0438] The device will display a message to the user saying, "We recommend combining trains and buses to avoid the current congestion."

[0439] The system of the present invention provides optimal information and suggestions in real time in response to user questions and requests, allowing users to efficiently solve various problems they face in their daily lives and enjoy a more satisfying experience.

[0440] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0441] Step 1:

[0442] The user uses the terminal to enter registration information (such as name, age, interests, and daily routine), which then inputs the user's basic information into the terminal.

[0443] The device sends these input data to the server. The input data (e.g., user's name, age, interests, etc.) is sent to the server.

[0444] The server stores the received information in a database and manages it as profile data. Specifically, it stores the information in a database (e.g., MySQL or PostgreSQL) as "User registration: name, age, interests, daily routine."

[0445] Step 2:

[0446] The server collects real-time data from city infrastructure, public services, and commercial facilities via API requests and sensor data acquisition.

[0447] Specifically, real-time data is collected through APIs (e.g., traffic conditions API, weather API) and managed using data aggregation software (e.g., Apache Kafka).

[0448] Based on the user's information request, the terminal receives the necessary real-time data from the server, which processes the data and sends it to the terminal.

[0449] Step 3:

[0450] The server generates optimal information using a generative AI model (e.g., OpenAI GPT-4) based on the user's profile data and emotion data obtained from the emotion engine.

[0451] Specifically, the profile data and emotion data are combined to generate a prompt sentence, which is then input into the generative AI model. For example, the prompt sentence might be, "What movie would you recommend to relax?"

[0452] The server uses an emotion engine to adjust the tone of the information obtained from the generative AI model and outputs it in the most optimal form for the user.

[0453] The device receives this information and displays it to the user. Specifically, it displays the message, "The movie recommended for you is 'Healing Forest.'"

[0454] Step 4:

[0455] The user types a question into the terminal and sends it to the server, for example, "What restaurant do you recommend for lunch today?"

[0456] The server analyzes the question and inputs it as a prompt to the generative AI, which uses an emotion engine to adjust the tone of the response.

[0457] The server generates a tailored response and sends it to the terminal, for example, tone-adjusted information such as "The restaurant we recommend for you is XX Cafe."

[0458] The terminal displays this response to the user.

[0459] Step 5:

[0460] The user inputs their current location and destination into the device and sends them to the server. For example, they input "current location: home, destination: office."

[0461] The server collects real-time traffic information (e.g., Google Maps API or Here API) and obtains current traffic situation data.

[0462] The server uses generative AI to calculate the optimal commute route based on the current location and destination information acquired, as well as the stress level acquired from the emotion engine, such as a "combination of trains and buses to avoid overcrowding."

[0463] The device will display the optimal commute route to the user, specifically, information such as "We recommend combining trains and buses."

[0464] Step 6:

[0465] The server generates event information based on the user's interests and emotional data, and uses the generation AI to input "events suitable for the user" as a prompt.

[0466] The server transmits the generated event information to the terminal.

[0467] The device will automatically display this notification to the user so that the user can see it immediately, such as "How about checking out the film festival this weekend?"

[0468] (Application example 2)

[0469] 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."

[0470] In today's urban lifestyles, users are exposed to a wealth of information in their daily lives. However, it is difficult to obtain the necessary information in real time and utilize it appropriately in specific situations. Furthermore, systems that enable users to receive appropriate support tailored to their circumstances and interests in activities such as shopping, traveling, and participating in events are still rare. In particular, there are limited means of receiving personalized suggestions based on a user's profile and emotions when shopping in physical stores. Therefore, a solution is needed to improve users' shopping experience and enhance their physical store experience.

[0471] The identification processing by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for receiving a question entered by a user, means for analyzing the received question and collecting real-time data from the user's profile data and city infrastructure, means for generating optimal information for the user using a generation AI based on the collected data, means for providing the generated information to the user, means for collecting and analyzing user emotion data, means for generating personalized in-store product proposals using a generation AI based on the user's emotion data and profile data, means for providing the generated product proposals to the user, and means for generating in-store navigation information and providing it to the user. This enables the user to receive product proposals and navigation in real time that match their interests and emotions.

[0472] "User profile data" refers to data that indicates attributes and information about a user, including, for example, name, age, interests, daily routines, and the like.

[0473] "Urban infrastructure" refers to the infrastructure systems within an urban environment, such as transportation networks, public facilities, power supplies, and water supplies.

[0474] "Real-time data" means data that is collected immediately, without any particular time delay, and is used to provide up-to-date information.

[0475] "Generative AI" is a type of artificial intelligence, a model and system that uses large amounts of data to make predictions and recommendations.

[0476] "Emotional data" refers to data for identifying and analyzing the user's emotional state, including the user's current mood and stress level.

[0477] "Personalized product suggestions" refers to recommending products and services optimized for a specific user based on the user's profile data and emotional data.

[0478] "In-store navigation information" is information that provides guidance to specific locations or products within a physical store.

[0479] "Traffic information" includes information related to travel, such as road congestion and the operation status of public transportation.

[0480] "Event information" is information about events and activities selected based on the user's interests and schedule.

[0481] "Means for generating navigation information" refers to a system or algorithm that calculates and provides guidance on a route to a destination based on the user's current location and map information within the store.

[0482] The present invention is a support system for enabling users to comfortably carry out activities in urban areas. This system provides personalized product recommendations and navigation information based on the user's profile data and emotional data when the user visits a physical store. The components and processing of this system are outlined in detail below.

[0483] Hardware and Software Configuration

[0484] Hardware

[0485] User terminal: A device that can be carried by the user, such as a smartphone or smart glasses.

[0486] Server: A back-end system for collecting and analyzing data and generating information using generative AI. A high-performance server is recommended.

[0487] software

[0488] User terminal application: Developed using React Native and Unity, it provides the user interface, data input, and display functions.

[0489] Server application: Built in Python (Flask), collects data, and runs the generative AI model. MongoDB is used as the database.

[0490] Generative AI and Emotion Engine: Uses OpenAI GPT-3 and Emotion API (Microsoft Azure) for natural language processing and sentiment analysis.

[0491] Data processing and calculation

[0492] Data collection and analysis

[0493] When a user inputs a question or their current mood through the application, the device sends the information to the server, which then collects the user's profile data and real-time data (such as product information in the store and traffic information), and simultaneously analyzes the user's emotional data using an emotion engine.

[0494] Generate personalized suggestions

[0495] The server uses a generative AI to generate information optimized for the user based on the collected data. The generative AI receives the user's profile data and emotional data as input and generates product suggestions and navigation information. At this time, the generative AI model is input with a prompt sentence such as the following:

[0496] Specific examples

[0497] For example, if a user is shopping because they want to relax, the app will suggest items such as "relaxing aroma products" or "comfortable loungewear."

[0498] Prompt Sentence Examples

[0499] Below is an example of a prompt sentence to input to the generative AI model.

[0500] The user's current mood is "Relaxation." The user's interests are "Fashion" and "Electronics." Generate the best product list for the user based on the product data below.

[0501] Product data:

[0502] 1. Aroma Diffuser - Price: 3000 yen - Section: Health

[0503] 2. Bluetooth Earphones - Price: 15,000 yen - Section: Electronics

[0504] 3. Sweatpants - Price: 5,000 yen - Category: Fashion

[0505] In this way, the server combines the user's emotions and profile data to make personalized suggestions to improve the shopping experience in the physical store. The generated information is sent to the user's terminal in real time and provided for the user to use effectively.

[0506] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0507] Step 1:

[0508] Collecting user-entered questions and sentiment information

[0509] The user uses the device to input questions and their current mood into the application. Specifically, they input questions and opinions such as "What products do you recommend today?" or "Please tell me about items that help me relax" through an input form on the device. This input information is then sent by the device to the server.

[0510] Input: Questions and emotional information entered by the user

[0511] Output: Data sent by the device to the server

[0512] Step 2:

[0513] User profile and real-time data collection

[0514] The server retrieves user profile data (such as name, age, interests, and daily routines) from a database, and simultaneously collects real-time data from city infrastructure and physical stores (such as product inventory and promotion information).

[0515] Input: User profile data request, City infrastructure data request

[0516] Output: Profile data, city infrastructure data

[0517] Step 3:

[0518] Emotional Data Analysis

[0519] The server uses the Emotion API to analyze the emotional information entered by the user and determine the user's current emotional state. Specifically, it analyzes the entered text data and classifies it into emotional categories such as "relaxed," "excited," and "sad."

[0520] Input: User's emotional information

[0521] Output: Emotion data (e.g., Relaxed)

[0522] Step 4:

[0523] Generate personalized product recommendations

[0524] The server uses a generative AI model (GPT-3) based on the collected profile data, emotion data, and real-time data to generate optimal product suggestions for the user. At this time, the server inputs the following prompt sentence into the generative AI model to generate product suggestions.

[0525] Input: Profile data, emotion data, real-time data, prompts

[0526] Output: Personalized product recommendations

[0527] Example prompt sentence:

[0528] The user's current mood is "Relaxation." The user's interests are "Fashion" and "Electronics." Generate the best product list for the user based on the product data below.

[0529] Product data:

[0530] 1. Aroma Diffuser - Price: 3000 yen - Section: Health

[0531] 2. Bluetooth Earphones - Price: 15,000 yen - Section: Electronics

[0532] 3. Sweatpants - Price: 5,000 yen - Category: Fashion

[0533] Step 5:

[0534] Sending and displaying generated information

[0535] The server generates personalized product suggestions and sends them to the user's device in real time. The device receives this information and displays it in a user-friendly format. Specifically, the device displays a list of product suggestions on the application's user interface.

[0536] Input: Personalized product suggestions

[0537] Output: Suggestion information displayed in the user interface

[0538] Step 6:

[0539] Generate and provide in-store navigation information

[0540] When a user selects a specific product, the server uses the store's map data to generate navigation information to the desired product, which is also sent in real time to the user's device, which then displays the navigation information to the user.

[0541] Input: Selected product information, store map data

[0542] Output: In-store navigation information

[0543] This allows users to receive product suggestions and navigation in real time that are tailored to their interests and emotions.

[0544] 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.

[0545] 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.

[0546] 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.

[0547] [Second embodiment]

[0548] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0549] 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.

[0550] 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).

[0551] 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.

[0552] 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.

[0553] 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).

[0554] 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.

[0555] 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.

[0556] 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.

[0557] 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.

[0558] 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.

[0559] 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."

[0560] The system of this invention utilizes artificial intelligence (AI) to support the daily lives of city residents and visitors. The system consists of a terminal used by the user and a server that collects and analyzes data.

[0561] System Overview

[0562] First, the user accesses the system using a terminal. The terminal can be a smartphone, tablet, PC, or other device that is easy for the user to use. The user enters their information, questions, destination, etc. into the terminal and sends it to the server. The server uses generative AI to generate information that is optimal for the user based on the collected data and the user's profile data, and sends it back to the terminal.

[0563] Program processing (overview)

[0564] 1. User Registration:

[0565] Users use the terminal to enter information such as their name, age, interests, and daily routine.

[0566] The terminal sends this information to the server, which stores it in a database.

[0567] 2. Real-time data collection:

[0568] The server collects real-time data from the city's infrastructure, public services, and commercial facilities.

[0569] The terminal receives the information required by the user from the server in real time and displays it to the user.

[0570] 3. Personalized information provision:

[0571] The server uses generative AI based on the user's profile data to generate optimal information.

[0572] The terminal displays the generated personalized information to the user.

[0573] 4. Question-answering systems:

[0574] The user enters a question into the terminal and sends it to the server.

[0575] The server uses generative AI to generate answers in natural language and send them back to the device.

[0576] The terminal displays this response to the user.

[0577] 5. Commuting optimization:

[0578] The user inputs their current location and destination into the terminal and sends them to the server.

[0579] The server analyzes real-time traffic information and generates the optimal commuting route.

[0580] The terminal displays the generated route to the user.

[0581] 6. Automatic event notification:

[0582] The server generates optimal event information based on the user's interests and schedule.

[0583] The terminal will automatically send event notifications to the user for immediate reference.

[0584] Specific examples

[0585] Example 1: Meal suggestions

[0586] The user inputs a question into the terminal, such as "What restaurant would you recommend for lunch today?"

[0587] The terminal sends this question to the server.

[0588] The server collects the user's profile data, current location, and information about nearby restaurants, and uses generative AI to select the most suitable restaurant.

[0589] The terminal will display "The restaurant recommended for you is XX Cafe."

[0590] Example 2: Commute optimization

[0591] The user types into the terminal, "What is the best route to work?"

[0592] The device sends its current location and company address information to the server.

[0593] The server collects real-time traffic information and uses generative AI to calculate the optimal route.

[0594] The terminal displays the optimal route to the user and provides route guidance.

[0595] As described above, the system of the present invention provides optimal information and suggestions in real time in response to user questions and requests, allowing users to efficiently solve various problems they face in their daily lives.

[0596] The processing flow will be explained below.

[0597] Example 1: Meal suggestions

[0598] Step 1:

[0599] The user inputs a question into the terminal, such as "What restaurant would you recommend for lunch today?"

[0600] Step 2:

[0601] The terminal receives the input question and transmits the question data to the server.

[0602] Step 3:

[0603] The server receives the question and retrieves the user's profile data (past dietary history, lifestyle, etc.) from a database.

[0604] Step 4:

[0605] The server collects real-time information about restaurants near the user's current location from the city's infrastructure.

[0606] Step 5:

[0607] The server uses generative AI to generate optimal lunch suggestions based on the user's profile data and collected restaurant information.

[0608] Step 6:

[0609] The server sends the generated proposal to the terminal.

[0610] Step 7:

[0611] The device converts the received suggestion into a display format and presents it to the user as "The restaurant we recommend for you is XX Cafe."

[0612] Example 2: Commute optimization

[0613] Step 1:

[0614] The user types into the terminal, "What is the best route to work?"

[0615] Step 2:

[0616] The device acquires the user's current location and destination (company address) information and sends it to the server.

[0617] Step 3:

[0618] The server collects real-time traffic information based on the current location and destination information obtained.

[0619] Step 4:

[0620] The server uses a generative AI to calculate the optimal commuting route based on the collected traffic information.

[0621] Step 5:

[0622] The server sends the calculated commute route guidance to the terminal.

[0623] Step 6:

[0624] The terminal converts the received commute route guidance into a display format and presents it to the user.

[0625] Step 7:

[0626] The user checks the presented commute route and starts commuting accordingly.

[0627] Step 8:

[0628] The server monitors real-time traffic information during the commute and sends route changes to the device as needed.

[0629] Step 9:

[0630] If there is a change in the route, the device will immediately notify the user and display the new route.

[0631] Step 10:

[0632] The user continues their commute following the updated route.

[0633] Example 3: Automatic event notification

[0634] Step 1:

[0635] The server retrieves the user's profile data (interests, past event participation history, schedule, etc.) from a database.

[0636] Step 2:

[0637] The server collects event information in real time from the city's infrastructure and commercial facilities.

[0638] Step 3:

[0639] The server uses generative AI to select the most suitable event for the user based on the user's profile data and collected event information.

[0640] Step 4:

[0641] The server sends the selected event information to the terminal and automatically notifies the user.

[0642] Step 5:

[0643] The device converts the received event notification into a display format and presents it to the user as "The event recommended for you is XX Festival."

[0644] Step 6:

[0645] The user checks the presented event information and decides whether or not to participate.

[0646] Example 1

[0647] 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."

[0648] In modern urban life, residents and visitors need to efficiently obtain a wide range of information to smoothly lead their daily lives. However, many currently available information systems are unable to provide information that fully takes into account the individual needs and circumstances of users, resulting in situations where users are unable to fully utilize the information. Furthermore, there is a lack of systems that efficiently provide real-time traffic and event information, making it difficult to quickly resolve the issues users face.

[0649] 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.

[0650] In this invention, the server includes a means for receiving a question entered by a user, a means for analyzing the received question and collecting user profile data and real-time data from the city's infrastructure, and a means for generating optimal information for the user using a generation AI based on the collected data, thereby enabling the provision of optimal information according to the user's individual needs and situation.

[0651] "User" refers to an individual or corporation that uses this system and is the entity that inputs and receives information through a terminal.

[0652] "Terminal" refers to a device used by a user, such as a smartphone, tablet, or PC, which allows the user to access the system and input and receive information.

[0653] "Server" refers to the computer system that receives and processes data sent by users. It analyzes the data using a generative AI model, generates the necessary information, and returns it to the device.

[0654] "Generative AI" refers to algorithms and models that use artificial intelligence technology to generate optimal information based on user profile data and real-time data. Examples include GPT-3 and BERT.

[0655] "Profile Data" refers to personal information that a user enters into the system, such as name, age, interests, and daily routines.

[0656] "Real-time data" refers to the latest data collected from city infrastructure, public services, and commercial facilities. This data is used by the server to provide users with the most appropriate information.

[0657] A "question" refers to a question or request that a user inputs to the system via a terminal.

[0658] "Location information" refers to data relating to a user's current location or a specific location.

[0659] "Destination information" refers to data relating to a location to which a user wishes to travel.

[0660] "Traffic information" refers to data on road conditions, traffic volume, public transportation operation status, etc. that is updated in real time.

[0661] "Event information" refers to data about events and occasions that a user can participate in, generated by the server based on the user's interests and schedule.

[0662] The system of this invention is an information provision system that utilizes artificial intelligence (AI) to support the daily lives of city residents and visitors. This system consists of a terminal used by the user and a server that collects and analyzes data.

[0663] First, the user accesses the system using a terminal. The terminal can be a smartphone, tablet, PC, or any other device that the user finds easy to use. The user enters their information, questions, current location, and destination into the terminal, and then sends it to the server.

[0664] The server uses the following hardware and software:

[0665] Hardware: High-performance servers, storage systems, network equipment

[0666] Software: Database management systems (e.g., MySQL, PostgreSQL), generative AI models (e.g., GPT-3, BERT), real-time data collection APIs (e.g., traffic information APIs, weather data APIs)

[0667] The specific system processes are as follows:

[0668] User Registration

[0669] Users use the terminal to enter information such as their name, age, interests, and daily routine.

[0670] The terminal sends this information to the server, which stores it in a database.

[0671] Real-time data collection

[0672] The server collects real-time data from city infrastructure, public services, and commercial facilities, specifically through traffic information APIs and weather data APIs.

[0673] The terminal receives the information required by the user in real time and displays it to the user.

[0674] Personalized information provision

[0675] The server uses a generative AI model based on the user's profile data to generate information that is optimal for the user.

[0676] The terminal displays the generated personalized information to the user.

[0677] Question-answering system

[0678] The user types a question into the terminal and sends it to the server, for example, "What's the weather like today?"

[0679] The server uses generative AI to generate answers in natural language and send them back to the device.

[0680] The device displays this answer to the user, for example, "Today's weather is sunny."

[0681] Commuting optimization

[0682] The user inputs their current location and destination into the terminal and sends them to the server.

[0683] The server analyzes real-time traffic information and generates the optimal commute route, for example, by using the Google Maps API to check traffic conditions.

[0684] The terminal displays the generated route to the user and provides route guidance.

[0685] Automatic event notification

[0686] The server generates optimal event information based on the user's interests and schedule.

[0687] The device will automatically send event notifications to users for quick reference, such as "The following events are recommended for you: XX Festival."

[0688] As a concrete example, if a user asks, "What restaurant do you recommend for lunch today?", the following prompt sentence is input to the generative AI model:

[0689] "Can you recommend a place for me to have lunch? I like Japanese food."

[0690] Or, in the case of commute optimization, the user types, "What is the best route to work?":

[0691] "What is the best route to commute from my current location to work?"

[0692] In this way, the present invention can provide optimal information and suggestions in real time in response to a wide range of user needs, thereby improving the quality of life of users.

[0693] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0694] Step 1: User Registration

[0695] Input: The user uses the device to enter information such as name, age, interests, and daily routine.

[0696] Specific operation: The information entered by the user is entered into the form fields of the terminal, and the terminal collects this information as a data object.

[0697] Data processing: The terminal converts the input information into JSON format and sends it to the server.

[0698] Output: The server receives the JSON data and stores it in a database using a database management system such as MySQL or PostgreSQL.

[0699] Step 2: Real-time data collection

[0700] Input: The server collects real-time data from the city's infrastructure, public services, and commercial facilities.

[0701] Specific operation: The server calls dedicated APIs (e.g., traffic information API, weather data API) to collect data.

[0702] Data processing: The collected data is analyzed on the server and converted into the required format (e.g., JSON or XML).

[0703] Output: The analyzed real-time data is stored in a database.

[0704] Step 3: Personalized communication

[0705] Input: User profile data and real-time data.

[0706] How it works: The server inputs the user's profile data and a prompt into a generative AI model (e.g., GPT-3, BERT). For example, "Please suggest restaurants this user would enjoy."

[0707] Data processing: The generative AI model generates information based on the input prompt and data, using natural language processing (NLP) algorithms.

[0708] Output: The generated information is sent to a terminal, which displays it visually to the user.

[0709] Step 4: Question-Answering System

[0710] Input: The user types a question into the terminal. Example: "What's the weather like today?"

[0711] Specific operation: The terminal sends the question to the server as text data.

[0712] Data processing: The server inputs the question into a generative AI model to generate an appropriate answer.

[0713] Output: The server sends the generated answer back to the device, which displays it to the user. Example: "The weather is sunny today."

[0714] Step 5: Commute optimization

[0715] Input: The user inputs their current location and destination information into the device. Example: "Current location: XX, Destination: Company."

[0716] Specific operation: The terminal sends this information to the server.

[0717] Data processing: The server retrieves real-time traffic information from the API and calculates the optimal commuting route using a generative AI model.

[0718] Output: The optimal route information is sent to the device, which displays it to the user. Example: "Optimal route: via XX street."

[0719] Step 6: Automatic event notification

[0720] Input: User interests and schedule information.

[0721] What it does: The server uses a generative AI model to select relevant events based on the user's interests and schedule. Example: "This week's events list suitable for this user."

[0722] Data processing: The generative AI model generates event information and customizes it for each user.

[0723] Output: Event information is sent to the device and a notification is automatically displayed. Example: "The following events are recommended for you: XX Festival."

[0724] (Application example 1)

[0725] 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."

[0726] Conventional systems have focused on question-answering and navigation to support users' daily lives, but have been limited in providing information on urban security. In particular, there is a demand for systems that provide safe route guidance and emergency response based on real-time security-related data, such as crime occurrence information. The problem that this invention aims to solve is to improve security within cities and provide an environment in which users can act safely.

[0727] 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.

[0728] In this invention, the server includes a means for updating the user's current location information, a means for collecting security-related data, and a means for evaluating the user's safety based on the collected data and providing advice, thereby enabling the user to obtain accurate security information in real time and take safe actions.

[0729] "User" means an individual or organization that uses this system.

[0730] "Current location information" is real-time location data acquired by a terminal such as a user's smartphone.

[0731] "Profile Data" is data provided by a user that includes personal data such as basic information, interests, daily routines, and schedules.

[0732] "Real-time data" refers to data that includes the latest information collected from city infrastructure, public services, and commercial facilities.

[0733] "Generative AI" is an artificial intelligence technology that generates optimal information based on collected data and user profile data.

[0734] "Security-related data" refers to data related to safety, such as crime occurrence information and emergency information.

[0735] "Advice" is a safety suggestion or recommendation that the generative AI provides to the user based on collected data.

[0736] "Traffic information" refers to real-time data such as current traffic conditions, congestion, and accident information.

[0737] The "optimal route" is the most efficient and safest travel route for the user calculated by the generation AI.

[0738] "Emergency Contact" is a function that allows users to contact the police or other safety agencies in an emergency.

[0739] MODE FOR CARRYING OUT THE INVENTION

[0740] The system of the present invention improves security within cities and provides an environment in which users can act safely. This system consists of a user's terminal and a server that collects and analyzes data.

[0741] System Overview

[0742] User terminal

[0743] Users access this system using devices such as smartphones and tablets. They register their own profile data and input their current location and destination information into the device.

[0744] server

[0745] The server includes the following means:

[0746] 1. A way to update the user's location

[0747] The current location information sent from the user terminal is updated in real time to the server and stored in a database.

[0748] 2. How we collect security-related data

[0749] The server collects security-related data, such as crime and emergency information, from city infrastructure, public services, commercial facilities, etc.

[0750] 3. Using generative AI to provide advice

[0751] The server uses a generative AI based on the collected data and the user's profile data to generate optimal security advice for the user, which is then sent to the user's device.

[0752] 4. A way to calculate the optimal route

[0753] Based on the destination information entered by the user and real-time traffic information, the AI ​​generates the safest route, which is also sent to the user's device.

[0754] 5. Emergency Contact Methods

[0755] It provides a function for users to contact the police or other safety agencies in case of an emergency. This function allows users to instantly contact the nearest police station with a single button on the device.

[0756] Program processing overview

[0757] Hardware and Software Configuration

[0758] 1. User Device

[0759] Hardware: Smartphones, tablets

[0760] Software: Mobile applications, GPS systems

[0761] 2. Server

[0762] Hardware: Data collection server, database server

[0763] Software: Crime information API (e.g., https: / / example.com / crime_data), generative AI models, and data analysis tools

[0764] Data processing and calculation

[0765] The server evaluates the user's current location information based on the crime information API and generates optimal security advice using a generative AI model. It also collects real-time traffic information and uses generative AI to calculate safe routes. This information is sent to the user's device and displayed on the screen.

[0766] Specific examples

[0767] Example 1: Providing security advice

[0768] When a user types "Is my current location safe?", the server retrieves real-time data from a crime information API based on the user's current location and evaluates safety using a generative AI model. As a result, it generates advice such as "This area is currently dangerous. Caution is advised" and displays it on the user's device.

[0769] Prompt Sentence Examples

[0770] My location is {user_location}. Is this area safe?

[0771] Example 2: Safe Route Guidance

[0772] When a user types "Tell me the best route to home," the server retrieves real-time traffic and crime information, calculates a safe and efficient route using a generative AI model, and sends it to the user's device.

[0773] Prompt Sentence Examples

[0774] Guide me to my home safely from {current_location} considering current traffic and crime data.

[0775] Through such an embodiment, the system of the present invention can provide users with real-time security information and support safe daily life.

[0776] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0777] Step 1:

[0778] The user inputs his / her current location information using the terminal, which then transmits the information to the server.

[0779] Input: User's current location information

[0780] Output: Current location information sent to the server

[0781] Specific operation: The user opens the application on their smartphone, enables the GPS function, and registers their current location in the application. The device then sends that information to the server in real time.

[0782] Step 2:

[0783] The server stores the received location information in a database and collects crime occurrence information related to that location.

[0784] Input: Current location information

[0785] Output: Current location information stored in the database and crime occurrence information obtained

[0786] Specific operation: The server stores the current location information in a database and calls an external crime information API to obtain the latest crime occurrence data for that location.

[0787] Step 3:

[0788] The server uses generative AI to analyze the collected crime occurrence information and evaluate the safety of the location.

[0789] Input: Crime occurrence information

[0790] Output: Generated security advice

[0791] How it works: The server inputs crime occurrence information into the generative AI model and evaluates the safety of the area, resulting in a security advice such as "safe" or "dangerous."

[0792] Step 4:

[0793] The server transmits the generated security advice to the user terminal.

[0794] Input: Security Advice

[0795] Output: Security advice sent to the user's device

[0796] Specific operation: The server converts the security advice generated by the generation AI into text format and sends it to the user's smartphone.

[0797] Step 5:

[0798] The user checks the received security advice on the terminal.

[0799] Input: Security Advice

[0800] Output: Security advice confirmed

[0801] Specific actions: The user checks the notification on their smartphone, opens the application and views the security advice.

[0802] Step 6:

[0803] The user inputs a destination and sends it from the terminal to the server.

[0804] Input: Destination information

[0805] Output: Destination information sent to the server

[0806] Specific operation: A user uses an application to input a destination and sends that information to a server.

[0807] Step 7:

[0808] The server collects real-time traffic and crime information based on current location and destination information.

[0809] Input: current location information, destination information

[0810] Output: Collected real-time traffic and crime information

[0811] Specific operation: The server calls the external traffic information API and previously obtained crime information API to obtain the latest traffic information and crime information between the current location and the destination.

[0812] Step 8:

[0813] The server uses a generative AI to calculate the safest route and sends that information to the user's device.

[0814] Input: current location, destination, real-time traffic information, crime information

[0815] Output: Calculated safe route

[0816] How it works: The server inputs all collected data into a generative AI model to calculate the optimal and safest route for the user, and then sends the results in text format to the user's smartphone.

[0817] Step 9:

[0818] The user checks the optimal route received on the terminal and moves according to the instructions.

[0819] Input: Optimal route information

[0820] Output: Optimal route confirmed

[0821] Specific operation: The user checks the received optimal route on the application and follows the route. The device provides real-time navigation through the route guidance function.

[0822] 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.

[0823] The system of this invention utilizes artificial intelligence (AI) and an emotion engine to support the daily lives of city residents and visitors. The system consists of a terminal used by the user and a server that collects and analyzes data.

[0824] System Overview

[0825] Users access the system using a terminal. A variety of devices can be used as terminals, including smartphones, tablets, and PCs. Users enter their personal information, questions, destinations, etc. into the terminal and send it to the server. The server uses generative AI and an emotion engine to generate optimal information for the user based on the collected data and the user's profile and emotion data, and sends it back to the terminal.

[0826] Program processing (overview)

[0827] 1. User Registration:

[0828] Users use the terminal to enter information such as their name, age, interests, and daily routine.

[0829] The terminal sends this information to the server, which stores it in a database.

[0830] 2. Real-time data collection:

[0831] The server collects real-time data from the city's infrastructure, public services, and commercial facilities.

[0832] The terminal receives the information required by the user from the server in real time and displays it to the user.

[0833] 3. Personalized information provision:

[0834] The server uses generation AI based on the user's profile data and emotion data obtained from the emotion engine to generate optimal information.

[0835] The terminal displays the generated personalized information to the user.

[0836] 4. Question-answering systems:

[0837] The user enters a question into the terminal and sends it to the server.

[0838] The server uses generative AI to generate natural language responses and adjusts the tone of the response based on feedback from the emotion engine.

[0839] The terminal displays this response to the user.

[0840] 5. Commuting optimization:

[0841] The user inputs their current location and destination into the terminal and sends them to the server.

[0842] The server analyzes real-time traffic information and generates the optimal commuting route.

[0843] The terminal displays the generated route to the user.

[0844] 6. Automatic event notification:

[0845] The server generates optimal event information based on the user's interests and emotional data.

[0846] The terminal will automatically send event notifications to the user for immediate reference.

[0847] Specific examples

[0848] Example 1: Meal suggestions

[0849] The user inputs a question into the terminal, such as "What restaurant would you recommend for lunch today?"

[0850] The terminal sends this question to the server.

[0851] The server collects the user's profile data and current location, as well as the emotional state obtained from the emotion engine and information on nearby restaurants, and uses generative AI to select the most suitable restaurant.

[0852] The device will display, "The restaurant recommended for you is XX Cafe. Wouldn't you like a place to relax a bit today?"

[0853] Example 2: Commute optimization

[0854] The user types into the terminal, "What is the best route to work?"

[0855] The device sends its current location and company address information to the server.

[0856] The server collects real-time traffic information based on the current location and destination information obtained, as well as the stress level obtained from the emotion engine.

[0857] The server uses a generative AI to calculate the optimal commuting route that avoids congestion.

[0858] The device will display a message to the user saying, "We recommend combining trains and buses to avoid the current congestion."

[0859] summary

[0860] The system of the present invention provides optimal information and suggestions in real time in response to user questions and requests. Furthermore, by combining it with an emotion engine, it becomes possible to provide personalized services that correspond to the user's emotional state. This allows users to efficiently solve various problems they face in their daily lives and obtain a more satisfying experience.

[0861] The processing flow will be explained below.

[0862] Example 1: Meal suggestions

[0863] Step 1:

[0864] The user inputs a question into the terminal, such as "What restaurant would you recommend for lunch today?"

[0865] Step 2:

[0866] The terminal receives the input question and transmits the question data to the server.

[0867] Step 3:

[0868] The server receives the question and retrieves the user's profile data (past dietary history, lifestyle, etc.) from a database.

[0869] Step 4:

[0870] The server collects real-time information about restaurants near the user's current location from the city's infrastructure.

[0871] Step 5:

[0872] The server uses an emotion engine to analyze the user's current emotional state.

[0873] Step 6:

[0874] The server uses generative AI to generate optimal lunch suggestions based on the user's profile data, emotional state, and collected restaurant information.

[0875] Step 7:

[0876] The server sends the generated proposal to the terminal.

[0877] Step 8:

[0878] The device converts the received suggestions into a display format and presents them to the user, saying, "The restaurant we recommend for you is XX Cafe. Wouldn't you like a place where you can relax a bit today?"

[0879] Example 2: Commute optimization

[0880] Step 1:

[0881] The user types into the terminal, "What is the best route to work?"

[0882] Step 2:

[0883] The device acquires the user's current location and destination (company address) information and sends it to the server.

[0884] Step 3:

[0885] The server collects real-time traffic information based on the current location and destination information obtained.

[0886] Step 4:

[0887] The server uses an emotion engine to analyze the user's current emotional state (eg, stress level).

[0888] Step 5:

[0889] The server uses generative AI to calculate the optimal commuting route based on emotional state and traffic information.

[0890] Step 6:

[0891] The server sends the calculated commute route guidance to the terminal.

[0892] Step 7:

[0893] The device converts the received commute route information into a display format and presents it to the user, saying, "To avoid the current congestion, we recommend taking a combination of trains and buses."

[0894] Step 8:

[0895] The user checks the presented commute route and starts commuting accordingly.

[0896] Step 9:

[0897] The server continues to monitor real-time traffic information during the commute.

[0898] Step 10:

[0899] The server sends route changes to the terminal as needed.

[0900] Step 11:

[0901] If there is a change in the route, the device will immediately notify the user and display the new route.

[0902] Step 12:

[0903] The user continues their commute following the updated route.

[0904] Example 3: Automatic event notification

[0905] Step 1:

[0906] The server retrieves the user's profile data (interests, past event participation history, schedule, etc.) from a database.

[0907] Step 2:

[0908] The server collects event information in real time from the city's infrastructure and commercial facilities.

[0909] Step 3:

[0910] The server uses an emotion engine to analyze the user's current emotional state.

[0911] Step 4:

[0912] The server uses generative AI to generate optimal event information based on the user's profile data, emotional state, and collected event information.

[0913] Step 5:

[0914] The server sends the selected event information to the terminal and automatically notifies the user.

[0915] Step 6:

[0916] The device converts the received event notification into a display format and presents it to the user, saying, "The event we recommend for you is XX Festival. You'll have a great time."

[0917] Step 7:

[0918] The user checks the presented event information and decides whether or not to participate.

[0919] Example 2

[0920] 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."

[0921] In modern urban life, a great deal of information is provided in real time, but there is a lack of systems that provide only the most appropriate information for the user. There is also a demand for personalized information provision that responds to the user's situation and emotions. In particular, question-answering systems must be able to respond in a natural tone, and traffic information must be able to present optimal routes in real time, as well as automatically notify users of event information.

[0922] 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.

[0923] In this invention, the server includes means for receiving a question entered by a user, means for analyzing the received question and collecting user profile data and real-time data from city infrastructure, means for generating optimal information for the user using a generation AI based on the collected data, means for utilizing an emotion engine for adjusting the tone of the generated information, and means for transmitting the optimal information to the terminal and providing it to the user, thereby enabling a personalized response to the user's question in a natural tone.

[0924] The server further includes a means for receiving the user's location information and destination information, a means for collecting real-time traffic information, a generating AI means for calculating an optimal route based on the collected traffic data and the user's emotion data, and a means for transmitting the calculated route to the terminal and providing it to the user, thereby enabling the user to obtain an optimal commuting route based on real-time traffic conditions.

[0925] Furthermore, the server includes a generating AI means for generating event information based on the user's schedule, interests, and emotion data, and a means for automatically transmitting the generated event information to the terminal and notifying the user, thereby enabling the user to receive optimal event information based on their interests and emotions in real time.

[0926] "User" refers to an individual or organization that uses the system.

[0927] "Terminal" refers to the device used by the user (smartphone, tablet, PC, etc.).

[0928] "Server" refers to a central computer system that collects, analyzes, stores, and generates information.

[0929] "Profile Data" refers to basic information about a user (such as name, age, interests, daily routine, etc.).

[0930] "Real-time data" refers to data obtained instantly from city infrastructure, public services, commercial facilities, etc.

[0931] "Generative AI" refers to artificial intelligence algorithms that generate information or answers from given data.

[0932] An "emotion engine" refers to a system that analyzes a user's emotions and adjusts the tone and content of information based on those emotions.

[0933] "Tone" refers to the expression and nuance of the information and answers produced.

[0934] "Traffic information" refers to road traffic conditions and public transportation operation information.

[0935] "Optimal route" refers to the most efficient route calculated based on real-time conditions.

[0936] "Event Information" refers to system-generated information about events based on specific interests or schedules.

[0937] "Automatic notification" refers to the function by which the system automatically notifies users of event information in real time.

[0938] This invention is a system that utilizes artificial intelligence (AI) and an emotion engine to support the daily lives of city residents and visitors. The system consists of a device used by the user and a server that collects and analyzes data. Specifically, devices such as smartphones, tablets, and PCs can be used, and the server is responsible for collecting, analyzing, and storing data, as well as generating information.

[0939] System configuration

[0940] Terminal: A user accesses the system through a terminal. The terminal receives user input and sends it to the server. It also displays information received from the server to the user.

[0941] Server: The server collects, analyzes, and stores data. Using a generative AI model and emotion engine, the server generates optimal information for the user based on the collected data, user profile data, and emotion data.

[0942] Data collection and analysis

[0943] The server collects real-time data from city infrastructure, public services, commercial facilities, etc. Specifically, APIs and sensor data are used.

[0944] The server uses data aggregation software (e.g., Apache Kafka) to manage real-time data.

[0945] The terminal receives data in real time from the server in response to a user request and displays it to the user.

[0946] Information generation

[0947] The server generates optimal information using a generative AI model (e.g., OpenAI GPT-4) based on the user's profile data and emotion data obtained from the emotion engine.

[0948] The server adjusts the tone of the generated information using an emotion engine powered by IBM Watson or Azure Cognitive Services.

[0949] The terminal displays the personalized information sent from the server to the user.

[0950] Specific examples

[0951] Example 1: Meal suggestions

[0952] The user inputs a question into the terminal, such as "What restaurant would you recommend for lunch today?"

[0953] The terminal sends this question to the server.

[0954] The server collects the user's profile data and current location, as well as the emotional state obtained from the emotion engine and information on nearby restaurants, and uses generative AI to select the most suitable restaurant.

[0955] The device will display, "The restaurant recommended for you is XX Cafe. Wouldn't you like a place to relax a bit today?"

[0956] Example 2: Commute optimization

[0957] The user types into the terminal, "What is the best route to work?"

[0958] The device sends its current location and company address information to the server.

[0959] The server collects real-time traffic information (e.g., Google Maps API or Here API) based on the current location and destination information obtained, as well as the stress level obtained from the emotion engine.

[0960] The server uses a generative AI to calculate the optimal commuting route that avoids congestion.

[0961] The device will display a message to the user saying, "We recommend combining trains and buses to avoid the current congestion."

[0962] The system of the present invention provides optimal information and suggestions in real time in response to user questions and requests, allowing users to efficiently solve various problems they face in their daily lives and enjoy a more satisfying experience.

[0963] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0964] Step 1:

[0965] The user uses the terminal to enter registration information (such as name, age, interests, and daily routine), which then inputs the user's basic information into the terminal.

[0966] The device sends these input data to the server. The input data (e.g., user's name, age, interests, etc.) is sent to the server.

[0967] The server stores the received information in a database and manages it as profile data. Specifically, it stores the information in a database (e.g., MySQL or PostgreSQL) as "User registration: name, age, interests, daily routine."

[0968] Step 2:

[0969] The server collects real-time data from city infrastructure, public services, and commercial facilities via API requests and sensor data acquisition.

[0970] Specifically, real-time data is collected through APIs (e.g., traffic conditions API, weather API) and managed using data aggregation software (e.g., Apache Kafka).

[0971] Based on the user's information request, the terminal receives the necessary real-time data from the server, which processes the data and sends it to the terminal.

[0972] Step 3:

[0973] The server generates optimal information using a generative AI model (e.g., OpenAI GPT-4) based on the user's profile data and emotion data obtained from the emotion engine.

[0974] Specifically, the profile data and emotion data are combined to generate a prompt sentence, which is then input into the generative AI model. For example, the prompt sentence might be, "What movie would you recommend to relax?"

[0975] The server uses an emotion engine to adjust the tone of the information obtained from the generative AI model and outputs it in the most optimal form for the user.

[0976] The device receives this information and displays it to the user. Specifically, it displays the message, "The movie recommended for you is 'Healing Forest.'"

[0977] Step 4:

[0978] The user types a question into the terminal and sends it to the server, for example, "What restaurant do you recommend for lunch today?"

[0979] The server analyzes the question and inputs it as a prompt to the generative AI, which uses an emotion engine to adjust the tone of the response.

[0980] The server generates a tailored response and sends it to the terminal, for example, tone-adjusted information such as "The restaurant we recommend for you is XX Cafe."

[0981] The terminal displays this response to the user.

[0982] Step 5:

[0983] The user inputs their current location and destination into the device and sends them to the server. For example, they input "current location: home, destination: office."

[0984] The server collects real-time traffic information (e.g., Google Maps API or Here API) and obtains current traffic situation data.

[0985] The server uses generative AI to calculate the optimal commute route based on the current location and destination information acquired, as well as the stress level acquired from the emotion engine, such as a "combination of trains and buses to avoid overcrowding."

[0986] The device will display the optimal commute route to the user, specifically, information such as "We recommend combining trains and buses."

[0987] Step 6:

[0988] The server generates event information based on the user's interests and emotional data, and uses the generation AI to input "events suitable for the user" as a prompt.

[0989] The server transmits the generated event information to the terminal.

[0990] The device will automatically display this notification to the user so that the user can see it immediately, such as "How about checking out the film festival this weekend?"

[0991] (Application example 2)

[0992] 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."

[0993] In today's urban lifestyles, users are exposed to a wealth of information in their daily lives. However, it is difficult to obtain the necessary information in real time and utilize it appropriately in specific situations. Furthermore, systems that enable users to receive appropriate support tailored to their circumstances and interests in activities such as shopping, traveling, and participating in events are still rare. In particular, there are limited means of receiving personalized suggestions based on a user's profile and emotions when shopping in physical stores. Therefore, a solution is needed to improve users' shopping experience and enhance their physical store experience.

[0994] The identification processing by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for receiving a question entered by a user, means for analyzing the received question and collecting real-time data from the user's profile data and city infrastructure, means for generating optimal information for the user using a generation AI based on the collected data, means for providing the generated information to the user, means for collecting and analyzing user emotion data, means for generating personalized in-store product proposals using a generation AI based on the user's emotion data and profile data, means for providing the generated product proposals to the user, and means for generating in-store navigation information and providing it to the user. This enables the user to receive product proposals and navigation in real time that match their interests and emotions.

[0995] "User profile data" refers to data that indicates attributes and information about a user, including, for example, name, age, interests, daily routines, and the like.

[0996] "Urban infrastructure" refers to the infrastructure systems within an urban environment, such as transportation networks, public facilities, power supplies, and water supplies.

[0997] "Real-time data" means data that is collected immediately, without any particular time delay, and is used to provide up-to-date information.

[0998] "Generative AI" is a type of artificial intelligence, a model and system that uses large amounts of data to make predictions and recommendations.

[0999] "Emotional data" refers to data for identifying and analyzing the user's emotional state, including the user's current mood and stress level.

[1000] "Personalized product suggestions" refers to recommending products and services optimized for a specific user based on the user's profile data and emotional data.

[1001] "In-store navigation information" is information that provides guidance to specific locations or products within a physical store.

[1002] "Traffic information" includes information related to travel, such as road congestion and the operation status of public transportation.

[1003] "Event information" is information about events and activities selected based on the user's interests and schedule.

[1004] "Means for generating navigation information" refers to a system or algorithm that calculates and provides guidance on a route to a destination based on the user's current location and map information within the store.

[1005] The present invention is a support system for enabling users to comfortably carry out activities in urban areas. This system provides personalized product recommendations and navigation information based on the user's profile data and emotional data when the user visits a physical store. The components and processing of this system are outlined in detail below.

[1006] Hardware and Software Configuration

[1007] Hardware

[1008] User terminal: A device that can be carried by the user, such as a smartphone or smart glasses.

[1009] Server: A back-end system for collecting and analyzing data and generating information using generative AI. A high-performance server is recommended.

[1010] software

[1011] User terminal application: Developed using React Native and Unity, it provides the user interface, data input, and display functions.

[1012] Server application: Built in Python (Flask), collects data, and runs the generative AI model. MongoDB is used as the database.

[1013] Generative AI and Emotion Engine: Uses OpenAI GPT-3 and Emotion API (Microsoft Azure) for natural language processing and sentiment analysis.

[1014] Data processing and calculation

[1015] Data collection and analysis

[1016] When a user inputs a question or their current mood through the application, the device sends the information to the server, which then collects the user's profile data and real-time data (such as product information in the store and traffic information), and simultaneously analyzes the user's emotional data using an emotion engine.

[1017] Generate personalized suggestions

[1018] Based on the collected data, the server uses a generative AI to generate information optimized for the user. The generative AI receives the user's profile data and emotional data as input and generates product suggestions and navigation information. At this time, the generative AI model is input with a prompt sentence such as the following:

[1019] Specific examples

[1020] For example, if a user is shopping because they want to relax, the app will suggest items such as "relaxing aroma products" or "comfortable loungewear."

[1021] Prompt Sentence Examples

[1022] Below is an example of a prompt sentence to input to the generative AI model.

[1023] The user's current mood is "Relaxation." The user's interests are "Fashion" and "Electronics." Generate the best product list for the user based on the following product data:

[1024] Product data:

[1025] 1. Aroma Diffuser - Price: 3000 yen - Section: Health

[1026] 2. Bluetooth Earphones - Price: 15,000 yen - Section: Electronics

[1027] 3. Sweatpants - Price: 5,000 yen - Category: Fashion

[1028] In this way, the server combines the user's emotions and profile data to make personalized suggestions to improve the shopping experience in the physical store. The generated information is sent to the user's terminal in real time and provided for the user to use effectively.

[1029] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1030] Step 1:

[1031] Collecting user-entered questions and sentiment information

[1032] The user uses the device to input questions and their current mood into the application. Specifically, they input questions and opinions such as "What products do you recommend today?" or "Please tell me about items that help me relax" through an input form on the device. This input information is then sent by the device to the server.

[1033] Input: Questions and emotional information entered by the user

[1034] Output: Data sent by the device to the server

[1035] Step 2:

[1036] User profile and real-time data collection

[1037] The server retrieves user profile data (such as name, age, interests, and daily routines) from a database, and simultaneously collects real-time data from city infrastructure and physical stores (such as product inventory and promotion information).

[1038] Input: User profile data request, City infrastructure data request

[1039] Output: Profile data, city infrastructure data

[1040] Step 3:

[1041] Emotional Data Analysis

[1042] The server uses the Emotion API to analyze the emotional information entered by the user and determine the user's current emotional state. Specifically, it analyzes the entered text data and classifies it into emotional categories such as "relaxed," "excited," and "sad."

[1043] Input: User's emotional information

[1044] Output: Emotion data (e.g., Relaxed)

[1045] Step 4:

[1046] Generate personalized product recommendations

[1047] The server uses a generative AI model (GPT-3) based on the collected profile data, emotion data, and real-time data to generate optimal product suggestions for the user. At this time, the server inputs the following prompt sentence into the generative AI model to generate product suggestions.

[1048] Input: Profile data, emotion data, real-time data, prompts

[1049] Output: Personalized product recommendations

[1050] Example prompt sentence:

[1051] The user's current mood is "Relaxation." The user's interests are "Fashion" and "Electronics." Generate the best product list for the user based on the product data below.

[1052] Product data:

[1053] 1. Aroma Diffuser - Price: 3000 yen - Section: Health

[1054] 2. Bluetooth Earphones - Price: 15,000 yen - Section: Electronics

[1055] 3. Sweatpants - Price: 5,000 yen - Category: Fashion

[1056] Step 5:

[1057] Sending and displaying generated information

[1058] The server generates personalized product suggestions and sends them to the user's device in real time. The device receives this information and displays it in a user-friendly format. Specifically, the device displays a list of product suggestions on the application's user interface.

[1059] Input: Personalized product suggestions

[1060] Output: Suggestion information displayed in the user interface

[1061] Step 6:

[1062] Generate and provide in-store navigation information

[1063] When a user selects a specific product, the server uses the store's map data to generate navigation information to the desired product, which is also sent in real time to the user's device, which then displays the navigation information to the user.

[1064] Input: Selected product information, store map data

[1065] Output: In-store navigation information

[1066] This allows users to receive product suggestions and navigation in real time that are tailored to their interests and emotions.

[1067] 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.

[1068] 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.

[1069] 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.

[1070] [Third embodiment]

[1071] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[1072] 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.

[1073] 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).

[1074] 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.

[1075] 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.

[1076] 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).

[1077] 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.

[1078] 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.

[1079] 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.

[1080] 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.

[1081] 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.

[1082] 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."

[1083] The system of this invention utilizes artificial intelligence (AI) to support the daily lives of city residents and visitors. The system consists of a terminal used by the user and a server that collects and analyzes data.

[1084] System Overview

[1085] First, the user accesses the system using a terminal. The terminal can be a smartphone, tablet, PC, or other device that is easy for the user to use. The user enters their information, questions, destination, etc. into the terminal and sends it to the server. The server uses generative AI to generate information that is optimal for the user based on the collected data and the user's profile data, and sends it back to the terminal.

[1086] Program processing (overview)

[1087] 1. User Registration:

[1088] Users use the terminal to enter information such as their name, age, interests, and daily routine.

[1089] The terminal sends this information to the server, which stores it in a database.

[1090] 2. Real-time data collection:

[1091] The server collects real-time data from the city's infrastructure, public services, and commercial facilities.

[1092] The terminal receives the information required by the user from the server in real time and displays it to the user.

[1093] 3. Personalized information provision:

[1094] The server uses generative AI based on the user's profile data to generate optimal information.

[1095] The terminal displays the generated personalized information to the user.

[1096] 4. Question-answering systems:

[1097] The user enters a question into the terminal and sends it to the server.

[1098] The server uses generative AI to generate answers in natural language and send them back to the device.

[1099] The terminal displays this response to the user.

[1100] 5. Commuting optimization:

[1101] The user inputs their current location and destination into the terminal and sends them to the server.

[1102] The server analyzes real-time traffic information and generates the optimal commuting route.

[1103] The terminal displays the generated route to the user.

[1104] 6. Automatic event notification:

[1105] The server generates optimal event information based on the user's interests and schedule.

[1106] The terminal will automatically send event notifications to the user for immediate reference.

[1107] Specific examples

[1108] Example 1: Meal suggestions

[1109] The user inputs a question into the terminal, such as "What restaurant would you recommend for lunch today?"

[1110] The terminal sends this question to the server.

[1111] The server collects the user's profile data, current location, and information about nearby restaurants, and uses generative AI to select the most suitable restaurant.

[1112] The terminal will display "The restaurant recommended for you is XX Cafe."

[1113] Example 2: Commute optimization

[1114] The user types into the terminal, "What is the best route to work?"

[1115] The device sends its current location and company address information to the server.

[1116] The server collects real-time traffic information and uses generative AI to calculate the optimal route.

[1117] The terminal displays the optimal route to the user and provides route guidance.

[1118] As described above, the system of the present invention provides optimal information and suggestions in real time in response to user questions and requests, allowing users to efficiently solve various problems they face in their daily lives.

[1119] The processing flow will be explained below.

[1120] Example 1: Meal suggestions

[1121] Step 1:

[1122] The user inputs a question into the terminal, such as "What restaurant would you recommend for lunch today?"

[1123] Step 2:

[1124] The terminal receives the input question and transmits the question data to the server.

[1125] Step 3:

[1126] The server receives the question and retrieves the user's profile data (past dietary history, lifestyle, etc.) from a database.

[1127] Step 4:

[1128] The server collects real-time information about restaurants near the user's current location from the city's infrastructure.

[1129] Step 5:

[1130] The server uses generative AI to generate optimal lunch suggestions based on the user's profile data and collected restaurant information.

[1131] Step 6:

[1132] The server sends the generated proposal to the terminal.

[1133] Step 7:

[1134] The device converts the received suggestion into a display format and presents it to the user as "The restaurant we recommend for you is XX Cafe."

[1135] Example 2: Commute optimization

[1136] Step 1:

[1137] The user types into the terminal, "What is the best route to work?"

[1138] Step 2:

[1139] The device acquires the user's current location and destination (company address) information and sends it to the server.

[1140] Step 3:

[1141] The server collects real-time traffic information based on the current location and destination information obtained.

[1142] Step 4:

[1143] The server uses a generative AI to calculate the optimal commuting route based on the collected traffic information.

[1144] Step 5:

[1145] The server sends the calculated commute route guidance to the terminal.

[1146] Step 6:

[1147] The terminal converts the received commute route guidance into a display format and presents it to the user.

[1148] Step 7:

[1149] The user checks the presented commute route and starts commuting accordingly.

[1150] Step 8:

[1151] The server monitors real-time traffic information during the commute and sends route changes to the device as needed.

[1152] Step 9:

[1153] If there is a change in the route, the device will immediately notify the user and display the new route.

[1154] Step 10:

[1155] The user continues their commute following the updated route.

[1156] Example 3: Automatic event notification

[1157] Step 1:

[1158] The server retrieves the user's profile data (interests, past event participation history, schedule, etc.) from a database.

[1159] Step 2:

[1160] The server collects event information in real time from the city's infrastructure and commercial facilities.

[1161] Step 3:

[1162] The server uses generative AI to select the most suitable event for the user based on the user's profile data and collected event information.

[1163] Step 4:

[1164] The server sends the selected event information to the terminal and automatically notifies the user.

[1165] Step 5:

[1166] The device converts the received event notification into a display format and presents it to the user as "The event recommended for you is XX Festival."

[1167] Step 6:

[1168] The user checks the presented event information and decides whether or not to participate.

[1169] Example 1

[1170] 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."

[1171] In modern urban life, residents and visitors need to efficiently obtain a wide range of information to smoothly lead their daily lives. However, many currently available information systems are unable to provide information that fully takes into account the individual needs and circumstances of users, resulting in situations where users are unable to fully utilize the information. Furthermore, there is a lack of systems that efficiently provide real-time traffic and event information, making it difficult to quickly resolve the issues users face.

[1172] 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.

[1173] In this invention, the server includes a means for receiving a question entered by a user, a means for analyzing the received question and collecting user profile data and real-time data from the city's infrastructure, and a means for generating optimal information for the user using a generation AI based on the collected data, thereby enabling the provision of optimal information according to the user's individual needs and situation.

[1174] "User" refers to an individual or corporation that uses this system and is the entity that inputs and receives information through a terminal.

[1175] "Terminal" refers to a device used by a user, such as a smartphone, tablet, or PC, which allows the user to access the system and input and receive information.

[1176] "Server" refers to the computer system that receives and processes data sent by users. It analyzes the data using a generative AI model, generates the necessary information, and returns it to the device.

[1177] "Generative AI" refers to algorithms and models that use artificial intelligence technology to generate optimal information based on user profile data and real-time data. Examples include GPT-3 and BERT.

[1178] "Profile Data" refers to personal information that a user enters into the system, such as name, age, interests, and daily routines.

[1179] "Real-time data" refers to the latest data collected from city infrastructure, public services, and commercial facilities. This data is used by the server to provide users with the most appropriate information.

[1180] A "question" refers to a question or request that a user inputs to the system via a terminal.

[1181] "Location information" refers to data relating to a user's current location or a specific location.

[1182] "Destination information" refers to data relating to a location to which a user wishes to travel.

[1183] "Traffic information" refers to data on road conditions, traffic volume, public transportation operation status, etc. that is updated in real time.

[1184] "Event information" refers to data about events and occasions that a user can participate in, generated by the server based on the user's interests and schedule.

[1185] The system of this invention is an information provision system that utilizes artificial intelligence (AI) to support the daily lives of city residents and visitors. This system consists of a terminal used by the user and a server that collects and analyzes data.

[1186] First, the user accesses the system using a terminal. The terminal can be a smartphone, tablet, PC, or any other device that the user finds easy to use. The user enters their information, questions, current location, and destination into the terminal, and then sends it to the server.

[1187] The server uses the following hardware and software:

[1188] Hardware: High-performance servers, storage systems, network equipment

[1189] Software: Database management systems (e.g., MySQL, PostgreSQL), generative AI models (e.g., GPT-3, BERT), real-time data collection APIs (e.g., traffic information APIs, weather data APIs)

[1190] The specific system processes are as follows:

[1191] User Registration

[1192] Users use the terminal to enter information such as their name, age, interests, and daily routine.

[1193] The terminal sends this information to the server, which stores it in a database.

[1194] Real-time data collection

[1195] The server collects real-time data from city infrastructure, public services, and commercial facilities, specifically through traffic information APIs and weather data APIs.

[1196] The terminal receives the information required by the user in real time and displays it to the user.

[1197] Personalized information provision

[1198] The server uses a generative AI model based on the user's profile data to generate information that is optimal for the user.

[1199] The terminal displays the generated personalized information to the user.

[1200] Question-answering system

[1201] The user types a question into the terminal and sends it to the server, for example, "What's the weather like today?"

[1202] The server uses generative AI to generate answers in natural language and send them back to the device.

[1203] The device displays this answer to the user, for example, "Today's weather is sunny."

[1204] Commuting optimization

[1205] The user inputs their current location and destination into the terminal and sends them to the server.

[1206] The server analyzes real-time traffic information and generates the optimal commute route, for example, by using the Google Maps API to check traffic conditions.

[1207] The terminal displays the generated route to the user and provides route guidance.

[1208] Automatic event notification

[1209] The server generates optimal event information based on the user's interests and schedule.

[1210] The device will automatically send event notifications to users for quick reference, such as "The following events are recommended for you: XX Festival."

[1211] As a concrete example, if a user asks, "What restaurant do you recommend for lunch today?", the following prompt sentence is input to the generative AI model:

[1212] "Can you recommend a place for me to have lunch? I like Japanese food."

[1213] Or, in the case of commute optimization, the user types, "What is the best route to work?":

[1214] "What is the best route to commute from my current location to work?"

[1215] In this way, the present invention can provide optimal information and suggestions in real time in response to a wide range of user needs, thereby improving the quality of life of users.

[1216] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1217] Step 1: User Registration

[1218] Input: The user uses the device to enter information such as name, age, interests, and daily routine.

[1219] Specific operation: The information entered by the user is entered into the form fields of the terminal, and the terminal collects this information as a data object.

[1220] Data processing: The terminal converts the input information into JSON format and sends it to the server.

[1221] Output: The server receives the JSON data and stores it in a database using a database management system such as MySQL or PostgreSQL.

[1222] Step 2: Real-time data collection

[1223] Input: The server collects real-time data from the city's infrastructure, public services, and commercial facilities.

[1224] Specific operation: The server calls dedicated APIs (e.g., traffic information API, weather data API) to collect data.

[1225] Data processing: The collected data is analyzed on the server and converted into the required format (e.g., JSON or XML).

[1226] Output: The analyzed real-time data is stored in a database.

[1227] Step 3: Personalized communication

[1228] Input: User profile data and real-time data.

[1229] How it works: The server inputs the user's profile data and a prompt into a generative AI model (e.g., GPT-3, BERT). For example, "Please suggest restaurants this user would enjoy."

[1230] Data processing: The generative AI model generates information based on the input prompt and data, using natural language processing (NLP) algorithms.

[1231] Output: The generated information is sent to a terminal, which displays it visually to the user.

[1232] Step 4: Question-Answering System

[1233] Input: The user types a question into the terminal. Example: "What's the weather like today?"

[1234] Specific operation: The terminal sends the question to the server as text data.

[1235] Data processing: The server inputs the question into a generative AI model to generate an appropriate answer.

[1236] Output: The server sends the generated answer back to the device, which displays it to the user. Example: "The weather is sunny today."

[1237] Step 5: Commute optimization

[1238] Input: The user inputs their current location and destination information into the device. Example: "Current location: XX, Destination: Company."

[1239] Specific operation: The terminal sends this information to the server.

[1240] Data processing: The server retrieves real-time traffic information from the API and calculates the optimal commuting route using a generative AI model.

[1241] Output: The optimal route information is sent to the device, which displays it to the user. Example: "Optimal route: via XX street."

[1242] Step 6: Automatic event notification

[1243] Input: User interests and schedule information.

[1244] What it does: The server uses a generative AI model to select relevant events based on the user's interests and schedule. Example: "This week's events list suitable for this user."

[1245] Data processing: The generative AI model generates event information and customizes it for each user.

[1246] Output: Event information is sent to the device and a notification is automatically displayed. Example: "The following events are recommended for you: XX Festival."

[1247] (Application example 1)

[1248] 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."

[1249] Conventional systems have focused on question-answering and navigation to support users' daily lives, but have been limited in providing information on urban security. In particular, there is a demand for systems that provide safe route guidance and emergency response based on real-time security-related data, such as crime occurrence information. The problem that this invention aims to solve is to improve security within cities and provide an environment in which users can act safely.

[1250] 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.

[1251] In this invention, the server includes a means for updating the user's current location information, a means for collecting security-related data, and a means for evaluating the user's safety based on the collected data and providing advice, thereby enabling the user to obtain accurate security information in real time and take safe actions.

[1252] "User" means an individual or organization that uses this system.

[1253] "Current location information" is real-time location data acquired by a terminal such as a user's smartphone.

[1254] "Profile Data" is data provided by a user that includes personal data such as basic information, interests, daily routines, and schedules.

[1255] "Real-time data" refers to data that includes the latest information collected from city infrastructure, public services, and commercial facilities.

[1256] "Generative AI" is an artificial intelligence technology that generates optimal information based on collected data and user profile data.

[1257] "Security-related data" refers to data related to safety, such as crime occurrence information and emergency information.

[1258] "Advice" is a safety suggestion or recommendation that the generative AI provides to the user based on collected data.

[1259] "Traffic information" refers to real-time data such as current traffic conditions, congestion, and accident information.

[1260] The "optimal route" is the most efficient and safest travel route for the user calculated by the generation AI.

[1261] "Emergency Contact" is a function that allows users to contact the police or other safety agencies in an emergency.

[1262] MODE FOR CARRYING OUT THE INVENTION

[1263] The system of the present invention improves security within cities and provides an environment in which users can act safely. This system consists of a user's terminal and a server that collects and analyzes data.

[1264] System Overview

[1265] User terminal

[1266] Users access this system using devices such as smartphones and tablets. They register their own profile data and input their current location and destination information into the device.

[1267] server

[1268] The server includes the following means:

[1269] 1. A way to update the user's location

[1270] The current location information sent from the user terminal is updated in real time to the server and stored in a database.

[1271] 2. How we collect security-related data

[1272] The server collects security-related data, such as crime and emergency information, from city infrastructure, public services, commercial facilities, etc.

[1273] 3. Using generative AI to provide advice

[1274] The server uses a generative AI based on the collected data and the user's profile data to generate optimal security advice for the user, which is then sent to the user's device.

[1275] 4. A way to calculate the optimal route

[1276] Based on the destination information entered by the user and real-time traffic information, the AI ​​generates the safest route, which is also sent to the user's device.

[1277] 5. Emergency Contact Methods

[1278] It provides a function for users to contact the police or other safety agencies in case of an emergency. This function allows users to instantly contact the nearest police station with a single button on the device.

[1279] Program processing overview

[1280] Hardware and Software Configuration

[1281] 1. User Device

[1282] Hardware: Smartphones, tablets

[1283] Software: Mobile applications, GPS systems

[1284] 2. Server

[1285] Hardware: Data collection server, database server

[1286] Software: Crime information API (e.g., https: / / example.com / crime_data), generative AI models, and data analysis tools

[1287] Data processing and calculation

[1288] The server evaluates the user's current location information based on the crime information API and generates optimal security advice using a generative AI model. It also collects real-time traffic information and uses generative AI to calculate safe routes. This information is sent to the user's device and displayed on the screen.

[1289] Specific examples

[1290] Example 1: Providing security advice

[1291] When a user types "Is my current location safe?", the server retrieves real-time data from a crime information API based on the user's current location and evaluates safety using a generative AI model. As a result, it generates advice such as "This area is currently dangerous. Caution is advised" and displays it on the user's device.

[1292] Prompt Sentence Examples

[1293] My location is {user_location}. Is this area safe?

[1294] Example 2: Safe Route Guidance

[1295] When a user types "Tell me the best route to home," the server retrieves real-time traffic and crime information, calculates a safe and efficient route using a generative AI model, and sends it to the user's device.

[1296] Prompt Sentence Examples

[1297] Guide me to my home safely from {current_location} considering current traffic and crime data.

[1298] Through such an embodiment, the system of the present invention can provide users with real-time security information and support safe daily life.

[1299] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1300] Step 1:

[1301] The user inputs his / her current location information using the terminal, which then transmits the information to the server.

[1302] Input: User's current location information

[1303] Output: Current location information sent to the server

[1304] Specific operation: The user opens the application on their smartphone, enables the GPS function, and registers their current location in the application. The device then sends that information to the server in real time.

[1305] Step 2:

[1306] The server stores the received location information in a database and collects crime occurrence information related to that location.

[1307] Input: Current location information

[1308] Output: Current location information stored in the database and crime occurrence information obtained

[1309] Specific operation: The server stores the current location information in a database and calls an external crime information API to obtain the latest crime occurrence data for that location.

[1310] Step 3:

[1311] The server uses generative AI to analyze the collected crime occurrence information and evaluate the safety of the location.

[1312] Input: Crime occurrence information

[1313] Output: Generated security advice

[1314] How it works: The server inputs crime occurrence information into the generative AI model and evaluates the safety of the area, resulting in a security advice such as "safe" or "dangerous."

[1315] Step 4:

[1316] The server transmits the generated security advice to the user terminal.

[1317] Input: Security Advice

[1318] Output: Security advice sent to the user's device

[1319] Specific operation: The server converts the security advice generated by the generation AI into text format and sends it to the user's smartphone.

[1320] Step 5:

[1321] The user checks the received security advice on the terminal.

[1322] Input: Security Advice

[1323] Output: Security advice confirmed

[1324] Specific actions: The user checks the notification on their smartphone, opens the application and views the security advice.

[1325] Step 6:

[1326] The user inputs a destination and sends it from the terminal to the server.

[1327] Input: Destination information

[1328] Output: Destination information sent to the server

[1329] Specific operation: A user uses an application to input a destination and sends that information to a server.

[1330] Step 7:

[1331] The server collects real-time traffic and crime information based on current location and destination information.

[1332] Input: current location information, destination information

[1333] Output: Collected real-time traffic and crime information

[1334] Specific operation: The server calls the external traffic information API and previously obtained crime information API to obtain the latest traffic information and crime information between the current location and the destination.

[1335] Step 8:

[1336] The server uses a generative AI to calculate the safest route and sends that information to the user's device.

[1337] Input: current location, destination, real-time traffic information, crime information

[1338] Output: Calculated safe route

[1339] How it works: The server inputs all collected data into a generative AI model to calculate the optimal and safest route for the user, and then sends the results in text format to the user's smartphone.

[1340] Step 9:

[1341] The user checks the optimal route received on the terminal and moves according to the instructions.

[1342] Input: Optimal route information

[1343] Output: Optimal route confirmed

[1344] Specific operation: The user checks the received optimal route on the application and follows the route. The device provides real-time navigation through the route guidance function.

[1345] 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.

[1346] The system of this invention utilizes artificial intelligence (AI) and an emotion engine to support the daily lives of city residents and visitors. The system consists of a terminal used by the user and a server that collects and analyzes data.

[1347] System Overview

[1348] Users access the system using a terminal. A variety of devices can be used as terminals, including smartphones, tablets, and PCs. Users enter their personal information, questions, destinations, etc. into the terminal and send it to the server. The server uses generative AI and an emotion engine to generate optimal information for the user based on the collected data and the user's profile and emotion data, and sends it back to the terminal.

[1349] Program processing (overview)

[1350] 1. User Registration:

[1351] Users use the terminal to enter information such as their name, age, interests, and daily routine.

[1352] The terminal sends this information to the server, which stores it in a database.

[1353] 2. Real-time data collection:

[1354] The server collects real-time data from the city's infrastructure, public services, and commercial facilities.

[1355] The terminal receives the information required by the user from the server in real time and displays it to the user.

[1356] 3. Personalized information provision:

[1357] The server uses generation AI based on the user's profile data and emotion data obtained from the emotion engine to generate optimal information.

[1358] The terminal displays the generated personalized information to the user.

[1359] 4. Question-answering systems:

[1360] The user enters a question into the terminal and sends it to the server.

[1361] The server uses generative AI to generate natural language responses and adjusts the tone of the response based on feedback from the emotion engine.

[1362] The terminal displays this response to the user.

[1363] 5. Commuting optimization:

[1364] The user inputs their current location and destination into the terminal and sends them to the server.

[1365] The server analyzes real-time traffic information and generates the optimal commuting route.

[1366] The terminal displays the generated route to the user.

[1367] 6. Automatic event notification:

[1368] The server generates optimal event information based on the user's interests and emotional data.

[1369] The terminal will automatically send event notifications to the user for immediate reference.

[1370] Specific examples

[1371] Example 1: Meal suggestions

[1372] The user inputs a question into the terminal, such as "What restaurant would you recommend for lunch today?"

[1373] The terminal sends this question to the server.

[1374] The server collects the user's profile data and current location, as well as the emotional state obtained from the emotion engine and information on nearby restaurants, and uses generative AI to select the most suitable restaurant.

[1375] The device will display, "The restaurant recommended for you is XX Cafe. Wouldn't you like a place to relax a bit today?"

[1376] Example 2: Commute optimization

[1377] The user types into the terminal, "What is the best route to work?"

[1378] The device sends its current location and company address information to the server.

[1379] The server collects real-time traffic information based on the current location and destination information obtained, as well as the stress level obtained from the emotion engine.

[1380] The server uses a generative AI to calculate the optimal commuting route that avoids congestion.

[1381] The device will display a message to the user saying, "We recommend combining trains and buses to avoid the current congestion."

[1382] summary

[1383] The system of the present invention provides optimal information and suggestions in real time in response to user questions and requests. Furthermore, by combining it with an emotion engine, it becomes possible to provide personalized services that correspond to the user's emotional state. This allows users to efficiently solve various problems they face in their daily lives and obtain a more satisfying experience.

[1384] The processing flow will be explained below.

[1385] Example 1: Meal suggestions

[1386] Step 1:

[1387] The user inputs a question into the terminal, such as "What restaurant would you recommend for lunch today?"

[1388] Step 2:

[1389] The terminal receives the input question and transmits the question data to the server.

[1390] Step 3:

[1391] The server receives the question and retrieves the user's profile data (past dietary history, lifestyle, etc.) from a database.

[1392] Step 4:

[1393] The server collects real-time information about restaurants near the user's current location from the city's infrastructure.

[1394] Step 5:

[1395] The server uses an emotion engine to analyze the user's current emotional state.

[1396] Step 6:

[1397] The server uses generative AI to generate optimal lunch suggestions based on the user's profile data, emotional state, and collected restaurant information.

[1398] Step 7:

[1399] The server sends the generated proposal to the terminal.

[1400] Step 8:

[1401] The device converts the received suggestions into a display format and presents them to the user, saying, "The restaurant we recommend for you is XX Cafe. Wouldn't you like a place where you can relax a bit today?"

[1402] Example 2: Commute optimization

[1403] Step 1:

[1404] The user types into the terminal, "What is the best route to work?"

[1405] Step 2:

[1406] The device acquires the user's current location and destination (company address) information and sends it to the server.

[1407] Step 3:

[1408] The server collects real-time traffic information based on the current location and destination information obtained.

[1409] Step 4:

[1410] The server uses an emotion engine to analyze the user's current emotional state (eg, stress level).

[1411] Step 5:

[1412] The server uses generative AI to calculate the optimal commuting route based on emotional state and traffic information.

[1413] Step 6:

[1414] The server sends the calculated commute route guidance to the terminal.

[1415] Step 7:

[1416] The device converts the received commute route information into a display format and presents it to the user, saying, "To avoid the current congestion, we recommend taking a combination of trains and buses."

[1417] Step 8:

[1418] The user checks the presented commute route and starts commuting accordingly.

[1419] Step 9:

[1420] The server continues to monitor real-time traffic information during the commute.

[1421] Step 10:

[1422] The server sends route changes to the terminal as needed.

[1423] Step 11:

[1424] If there is a change in the route, the device will immediately notify the user and display the new route.

[1425] Step 12:

[1426] The user continues their commute following the updated route.

[1427] Example 3: Automatic event notification

[1428] Step 1:

[1429] The server retrieves the user's profile data (interests, past event participation history, schedule, etc.) from a database.

[1430] Step 2:

[1431] The server collects event information in real time from the city's infrastructure and commercial facilities.

[1432] Step 3:

[1433] The server uses an emotion engine to analyze the user's current emotional state.

[1434] Step 4:

[1435] The server uses generative AI to generate optimal event information based on the user's profile data, emotional state, and collected event information.

[1436] Step 5:

[1437] The server sends the selected event information to the terminal and automatically notifies the user.

[1438] Step 6:

[1439] The device converts the received event notification into a display format and presents it to the user, saying, "The event we recommend for you is XX Festival. You'll have a great time."

[1440] Step 7:

[1441] The user checks the presented event information and decides whether or not to participate.

[1442] Example 2

[1443] 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."

[1444] In modern urban life, a great deal of information is provided in real time, but there is a lack of systems that provide only the most appropriate information for the user. There is also a demand for personalized information provision that responds to the user's situation and emotions. In particular, question-answering systems must be able to respond in a natural tone, and traffic information must be able to present optimal routes in real time, as well as automatically notify users of event information.

[1445] 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.

[1446] In this invention, the server includes means for receiving a question entered by a user, means for analyzing the received question and collecting user profile data and real-time data from city infrastructure, means for generating optimal information for the user using a generation AI based on the collected data, means for utilizing an emotion engine for adjusting the tone of the generated information, and means for transmitting the optimal information to the terminal and providing it to the user, thereby enabling a personalized response to the user's question in a natural tone.

[1447] The server further includes a means for receiving the user's location information and destination information, a means for collecting real-time traffic information, a generating AI means for calculating an optimal route based on the collected traffic data and the user's emotion data, and a means for transmitting the calculated route to the terminal and providing it to the user, thereby enabling the user to obtain an optimal commuting route based on real-time traffic conditions.

[1448] Furthermore, the server includes a generating AI means for generating event information based on the user's schedule, interests, and emotion data, and a means for automatically transmitting the generated event information to the terminal and notifying the user, thereby enabling the user to receive optimal event information based on their interests and emotions in real time.

[1449] "User" refers to an individual or organization that uses the system.

[1450] "Terminal" refers to the device used by the user (smartphone, tablet, PC, etc.).

[1451] "Server" refers to a central computer system that collects, analyzes, stores, and generates information.

[1452] "Profile Data" refers to basic information about a user (such as name, age, interests, daily routine, etc.).

[1453] "Real-time data" refers to data obtained instantly from city infrastructure, public services, commercial facilities, etc.

[1454] "Generative AI" refers to artificial intelligence algorithms that generate information or answers from given data.

[1455] An "emotion engine" refers to a system that analyzes a user's emotions and adjusts the tone and content of information based on those emotions.

[1456] "Tone" refers to the expression and nuance of the information and answers produced.

[1457] "Traffic information" refers to road traffic conditions and public transportation operation information.

[1458] "Optimal route" refers to the most efficient route calculated based on real-time conditions.

[1459] "Event Information" refers to system-generated information about events based on specific interests or schedules.

[1460] "Automatic notification" refers to the function by which the system automatically notifies users of event information in real time.

[1461] This invention is a system that utilizes artificial intelligence (AI) and an emotion engine to support the daily lives of city residents and visitors. The system consists of a device used by the user and a server that collects and analyzes data. Specifically, devices such as smartphones, tablets, and PCs can be used, and the server is responsible for collecting, analyzing, and storing data, as well as generating information.

[1462] System configuration

[1463] Terminal: A user accesses the system through a terminal. The terminal receives user input and sends it to the server. It also displays information received from the server to the user.

[1464] Server: The server collects, analyzes, and stores data. Using a generative AI model and emotion engine, the server generates optimal information for the user based on the collected data, user profile data, and emotion data.

[1465] Data collection and analysis

[1466] The server collects real-time data from city infrastructure, public services, commercial facilities, etc. Specifically, APIs and sensor data are used.

[1467] The server uses data aggregation software (e.g., Apache Kafka) to manage real-time data.

[1468] The terminal receives data in real time from the server in response to a user request and displays it to the user.

[1469] Information generation

[1470] The server generates optimal information using a generative AI model (e.g., OpenAI GPT-4) based on the user's profile data and emotion data obtained from the emotion engine.

[1471] The server adjusts the tone of the generated information using an emotion engine powered by IBM Watson or Azure Cognitive Services.

[1472] The terminal displays the personalized information sent from the server to the user.

[1473] Specific examples

[1474] Example 1: Meal suggestions

[1475] The user inputs a question into the terminal, such as "What restaurant would you recommend for lunch today?"

[1476] The terminal sends this question to the server.

[1477] The server collects the user's profile data and current location, as well as the emotional state obtained from the emotion engine and information on nearby restaurants, and uses generative AI to select the most suitable restaurant.

[1478] The device will display, "The restaurant recommended for you is XX Cafe. Wouldn't you like a place to relax a bit today?"

[1479] Example 2: Commute optimization

[1480] The user types into the terminal, "What is the best route to work?"

[1481] The device sends its current location and company address information to the server.

[1482] The server collects real-time traffic information (e.g., Google Maps API or Here API) based on the current location and destination information obtained, as well as the stress level obtained from the emotion engine.

[1483] The server uses a generative AI to calculate the optimal commuting route that avoids congestion.

[1484] The device will display a message to the user saying, "We recommend combining trains and buses to avoid the current congestion."

[1485] The system of the present invention provides optimal information and suggestions in real time in response to user questions and requests, allowing users to efficiently solve various problems they face in their daily lives and enjoy a more satisfying experience.

[1486] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1487] Step 1:

[1488] The user uses the terminal to enter registration information (such as name, age, interests, and daily routine), which then inputs the user's basic information into the terminal.

[1489] The device sends these input data to the server. The input data (e.g., user's name, age, interests, etc.) is sent to the server.

[1490] The server stores the received information in a database and manages it as profile data. Specifically, it stores the information in a database (e.g., MySQL or PostgreSQL) as "User registration: name, age, interests, daily routine."

[1491] Step 2:

[1492] The server collects real-time data from city infrastructure, public services, and commercial facilities via API requests and sensor data acquisition.

[1493] Specifically, real-time data is collected through APIs (e.g., traffic conditions API, weather API) and managed using data aggregation software (e.g., Apache Kafka).

[1494] Based on the user's information request, the terminal receives the necessary real-time data from the server, which processes the data and sends it to the terminal.

[1495] Step 3:

[1496] The server generates optimal information using a generative AI model (e.g., OpenAI GPT-4) based on the user's profile data and emotion data obtained from the emotion engine.

[1497] Specifically, the profile data and emotion data are combined to generate a prompt sentence, which is then input into the generative AI model. For example, the prompt sentence might be, "What movie would you recommend to relax?"

[1498] The server uses an emotion engine to adjust the tone of the information obtained from the generative AI model and outputs it in the most optimal form for the user.

[1499] The device receives this information and displays it to the user. Specifically, it displays the message, "The movie recommended for you is 'Healing Forest.'"

[1500] Step 4:

[1501] The user types a question into the terminal and sends it to the server, for example, "What restaurant do you recommend for lunch today?"

[1502] The server analyzes the question and inputs it as a prompt to the generative AI, which uses an emotion engine to adjust the tone of the response.

[1503] The server generates a tailored response and sends it to the terminal, for example, tone-adjusted information such as "The restaurant we recommend for you is XX Cafe."

[1504] The terminal displays this response to the user.

[1505] Step 5:

[1506] The user inputs their current location and destination into the device and sends them to the server. For example, they input "current location: home, destination: office."

[1507] The server collects real-time traffic information (e.g., Google Maps API or Here API) and obtains current traffic situation data.

[1508] The server uses generative AI to calculate the optimal commute route based on the current location and destination information acquired, as well as the stress level acquired from the emotion engine, such as a combination of trains and buses to avoid overcrowding.

[1509] The device will display the optimal commute route to the user, specifically, information such as "We recommend combining trains and buses."

[1510] Step 6:

[1511] The server generates event information based on the user's interests and emotional data, and uses the generation AI to input "events suitable for the user" as a prompt.

[1512] The server transmits the generated event information to the terminal.

[1513] The device will automatically display this notification to the user so that the user can see it immediately, such as "How about checking out the film festival this weekend?"

[1514] (Application example 2)

[1515] 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."

[1516] In today's urban lifestyles, users are exposed to a wealth of information in their daily lives. However, it is difficult to obtain the necessary information in real time and utilize it appropriately in specific situations. Furthermore, systems that enable users to receive appropriate support tailored to their circumstances and interests in activities such as shopping, traveling, and participating in events are still rare. In particular, there are limited means of receiving personalized suggestions based on a user's profile and emotions when shopping in physical stores. Therefore, a solution is needed to improve users' shopping experience and enhance their physical store experience.

[1517] The identification processing by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for receiving a question entered by a user, means for analyzing the received question and collecting real-time data from the user's profile data and city infrastructure, means for generating optimal information for the user using a generation AI based on the collected data, means for providing the generated information to the user, means for collecting and analyzing user emotion data, means for generating personalized in-store product proposals using a generation AI based on the user's emotion data and profile data, means for providing the generated product proposals to the user, and means for generating in-store navigation information and providing it to the user. This enables the user to receive product proposals and navigation in real time that match their interests and emotions.

[1518] "User profile data" refers to data that indicates attributes and information about a user, including, for example, name, age, interests, daily routines, and the like.

[1519] "Urban infrastructure" refers to the infrastructure systems within an urban environment, such as transportation networks, public facilities, power supplies, and water supplies.

[1520] "Real-time data" means data that is collected immediately, without any particular time delay, and is used to provide up-to-date information.

[1521] "Generative AI" is a type of artificial intelligence, a model and system that uses large amounts of data to make predictions and recommendations.

[1522] "Emotional data" refers to data for identifying and analyzing the user's emotional state, including the user's current mood and stress level.

[1523] "Personalized product suggestions" refers to recommending products and services optimized for a specific user based on the user's profile data and emotional data.

[1524] "In-store navigation information" is information that provides guidance to specific locations or products within a physical store.

[1525] "Traffic information" includes information related to travel, such as road congestion and the operation status of public transportation.

[1526] "Event information" is information about events and activities selected based on the user's interests and schedule.

[1527] "Means for generating navigation information" refers to a system or algorithm that calculates and provides guidance on a route to a destination based on the user's current location and map information within the store.

[1528] The present invention is a support system for enabling users to comfortably carry out activities in urban areas. This system provides personalized product recommendations and navigation information based on the user's profile data and emotional data when the user visits a physical store. The components and processing of this system are outlined in detail below.

[1529] Hardware and Software Configuration

[1530] Hardware

[1531] User terminal: A device that can be carried by the user, such as a smartphone or smart glasses.

[1532] Server: A back-end system for collecting and analyzing data and generating information using generative AI. A high-performance server is recommended.

[1533] software

[1534] User terminal application: Developed using React Native and Unity, it provides the user interface, data input, and display functions.

[1535] Server application: Built in Python (Flask), collects data, and runs the generative AI model. MongoDB is used as the database.

[1536] Generative AI and Emotion Engine: Uses OpenAI GPT-3 and Emotion API (Microsoft Azure) for natural language processing and sentiment analysis.

[1537] Data processing and calculation

[1538] Data collection and analysis

[1539] When a user inputs a question or their current mood through the application, the device sends the information to the server, which then collects the user's profile data and real-time data (such as product information in the store and traffic information), and simultaneously analyzes the user's emotional data using an emotion engine.

[1540] Generate personalized suggestions

[1541] Based on the collected data, the server uses a generative AI to generate information optimized for the user. The generative AI receives the user's profile data and emotional data as input and generates product suggestions and navigation information. At this time, the generative AI model is input with a prompt sentence such as the following:

[1542] Specific examples

[1543] For example, if a user is shopping because they want to relax, the app will suggest items such as "relaxing aroma products" or "comfortable loungewear."

[1544] Prompt Sentence Examples

[1545] Below is an example of a prompt sentence to input to the generative AI model.

[1546] The user's current mood is "Relaxation." The user's interests are "Fashion" and "Electronics." Generate the best product list for the user based on the following product data:

[1547] Product data:

[1548] 1. Aroma Diffuser - Price: 3000 yen - Section: Health

[1549] 2. Bluetooth Earphones - Price: 15,000 yen - Section: Electronics

[1550] 3. Sweatpants - Price: 5,000 yen - Category: Fashion

[1551] In this way, the server combines the user's emotions and profile data to make personalized suggestions to improve the shopping experience in the physical store. The generated information is sent to the user's terminal in real time and provided for the user to use effectively.

[1552] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1553] Step 1:

[1554] Collecting user-entered questions and sentiment information

[1555] The user uses the device to input questions and their current mood into the application. Specifically, they input questions and opinions such as "What products do you recommend today?" or "Please tell me about items that help me relax" through an input form on the device. This input information is then sent by the device to the server.

[1556] Input: Questions and emotional information entered by the user

[1557] Output: Data sent by the device to the server

[1558] Step 2:

[1559] User profile and real-time data collection

[1560] The server retrieves user profile data (such as name, age, interests, and daily routines) from a database, and simultaneously collects real-time data from city infrastructure and physical stores (such as product inventory and promotion information).

[1561] Input: User profile data request, City infrastructure data request

[1562] Output: Profile data, city infrastructure data

[1563] Step 3:

[1564] Emotional Data Analysis

[1565] The server uses the Emotion API to analyze the emotional information entered by the user and determine the user's current emotional state. Specifically, it analyzes the entered text data and classifies it into emotional categories such as "relaxed," "excited," and "sad."

[1566] Input: User's emotional information

[1567] Output: Emotion data (e.g., Relaxed)

[1568] Step 4:

[1569] Generate personalized product recommendations

[1570] The server uses a generative AI model (GPT-3) based on the collected profile data, emotion data, and real-time data to generate optimal product suggestions for the user. At this time, the server inputs the following prompt sentence into the generative AI model to generate product suggestions.

[1571] Input: Profile data, emotion data, real-time data, prompts

[1572] Output: Personalized product recommendations

[1573] Example prompt sentence:

[1574] The user's current mood is "Relaxation." The user's interests are "Fashion" and "Electronics." Generate the best product list for the user based on the following product data:

[1575] Product data:

[1576] 1. Aroma Diffuser - Price: 3000 yen - Section: Health

[1577] 2. Bluetooth Earphones - Price: 15,000 yen - Section: Electronics

[1578] 3. Sweatpants - Price: 5,000 yen - Category: Fashion

[1579] Step 5:

[1580] Sending and displaying generated information

[1581] The server generates personalized product suggestions and sends them to the user's device in real time. The device receives this information and displays it in a user-friendly format. Specifically, the device displays a list of product suggestions on the application's user interface.

[1582] Input: Personalized product suggestions

[1583] Output: Suggestion information displayed in the user interface

[1584] Step 6:

[1585] Generate and provide in-store navigation information

[1586] When a user selects a specific product, the server uses the store's map data to generate navigation information to the desired product, which is also sent in real time to the user's device, which then displays the navigation information to the user.

[1587] Input: Selected product information, store map data

[1588] Output: In-store navigation information

[1589] This allows users to receive product suggestions and navigation in real time that are tailored to their interests and emotions.

[1590] 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.

[1591] 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.

[1592] 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.

[1593] [Fourth embodiment]

[1594] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1595] 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.

[1596] 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).

[1597] 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.

[1598] 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.

[1599] 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).

[1600] 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.

[1601] 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.

[1602] 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.

[1603] 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.

[1604] 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.

[1605] 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.

[1606] 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."

[1607] The system of this invention utilizes artificial intelligence (AI) to support the daily lives of city residents and visitors. The system consists of a terminal used by the user and a server that collects and analyzes data.

[1608] System Overview

[1609] First, the user accesses the system using a terminal. The terminal can be a smartphone, tablet, PC, or other device that is easy for the user to use. The user enters their information, questions, destination, etc. into the terminal and sends it to the server. The server uses generative AI to generate information that is optimal for the user based on the collected data and the user's profile data, and sends it back to the terminal.

[1610] Program processing (overview)

[1611] 1. User Registration:

[1612] Users use the terminal to enter information such as their name, age, interests, and daily routine.

[1613] The terminal sends this information to the server, which stores it in a database.

[1614] 2. Real-time data collection:

[1615] The server collects real-time data from the city's infrastructure, public services, and commercial facilities.

[1616] The terminal receives the information required by the user from the server in real time and displays it to the user.

[1617] 3. Personalized information provision:

[1618] The server uses generative AI based on the user's profile data to generate optimal information.

[1619] The terminal displays the generated personalized information to the user.

[1620] 4. Question-answering systems:

[1621] The user enters a question into the terminal and sends it to the server.

[1622] The server uses generative AI to generate answers in natural language and send them back to the device.

[1623] The terminal displays this response to the user.

[1624] 5. Commuting optimization:

[1625] The user inputs their current location and destination into the terminal and sends them to the server.

[1626] The server analyzes real-time traffic information and generates the optimal commuting route.

[1627] The terminal displays the generated route to the user.

[1628] 6. Automatic event notification:

[1629] The server generates optimal event information based on the user's interests and schedule.

[1630] The terminal will automatically send event notifications to the user for immediate reference.

[1631] Specific examples

[1632] Example 1: Meal suggestions

[1633] The user inputs a question into the terminal, such as "What restaurant would you recommend for lunch today?"

[1634] The terminal sends this question to the server.

[1635] The server collects the user's profile data, current location, and information about nearby restaurants, and uses generative AI to select the most suitable restaurant.

[1636] The terminal will display "The restaurant recommended for you is XX Cafe."

[1637] Example 2: Commute optimization

[1638] The user types into the terminal, "What is the best route to work?"

[1639] The device sends its current location and company address information to the server.

[1640] The server collects real-time traffic information and uses generative AI to calculate the optimal route.

[1641] The terminal displays the optimal route to the user and provides route guidance.

[1642] As described above, the system of the present invention provides optimal information and suggestions in real time in response to user questions and requests, allowing users to efficiently solve various problems they face in their daily lives.

[1643] The processing flow will be explained below.

[1644] Example 1: Meal suggestions

[1645] Step 1:

[1646] The user inputs a question into the terminal, such as "What restaurant would you recommend for lunch today?"

[1647] Step 2:

[1648] The terminal receives the input question and transmits the question data to the server.

[1649] Step 3:

[1650] The server receives the question and retrieves the user's profile data (past dietary history, lifestyle, etc.) from a database.

[1651] Step 4:

[1652] The server collects real-time information about restaurants near the user's current location from the city's infrastructure.

[1653] Step 5:

[1654] The server uses generative AI to generate optimal lunch suggestions based on the user's profile data and collected restaurant information.

[1655] Step 6:

[1656] The server sends the generated proposal to the terminal.

[1657] Step 7:

[1658] The device converts the received suggestion into a display format and presents it to the user as "The restaurant we recommend for you is XX Cafe."

[1659] Example 2: Commute optimization

[1660] Step 1:

[1661] The user types into the terminal, "What is the best route to work?"

[1662] Step 2:

[1663] The device acquires the user's current location and destination (company address) information and sends it to the server.

[1664] Step 3:

[1665] The server collects real-time traffic information based on the current location and destination information obtained.

[1666] Step 4:

[1667] The server uses a generative AI to calculate the optimal commuting route based on the collected traffic information.

[1668] Step 5:

[1669] The server sends the calculated commute route guidance to the terminal.

[1670] Step 6:

[1671] The terminal converts the received commute route guidance into a display format and presents it to the user.

[1672] Step 7:

[1673] The user checks the presented commute route and starts commuting accordingly.

[1674] Step 8:

[1675] The server monitors real-time traffic information during the commute and sends route changes to the device as needed.

[1676] Step 9:

[1677] If there is a change in the route, the device will immediately notify the user and display the new route.

[1678] Step 10:

[1679] The user continues their commute following the updated route.

[1680] Example 3: Automatic event notification

[1681] Step 1:

[1682] The server retrieves the user's profile data (interests, past event participation history, schedule, etc.) from a database.

[1683] Step 2:

[1684] The server collects event information in real time from the city's infrastructure and commercial facilities.

[1685] Step 3:

[1686] The server uses generative AI to select the most suitable event for the user based on the user's profile data and collected event information.

[1687] Step 4:

[1688] The server sends the selected event information to the terminal and automatically notifies the user.

[1689] Step 5:

[1690] The device converts the received event notification into a display format and presents it to the user as "The event recommended for you is XX Festival."

[1691] Step 6:

[1692] The user checks the presented event information and decides whether or not to participate.

[1693] Example 1

[1694] 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."

[1695] In modern urban life, residents and visitors need to efficiently obtain a wide range of information to smoothly lead their daily lives. However, many currently available information systems are unable to provide information that fully takes into account the individual needs and circumstances of users, resulting in situations where users are unable to fully utilize the information. Furthermore, there is a lack of systems that efficiently provide real-time traffic and event information, making it difficult to quickly resolve the issues users face.

[1696] 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.

[1697] In this invention, the server includes a means for receiving a question entered by a user, a means for analyzing the received question and collecting user profile data and real-time data from the city's infrastructure, and a means for generating optimal information for the user using a generation AI based on the collected data, thereby enabling the provision of optimal information according to the user's individual needs and situation.

[1698] "User" refers to an individual or corporation that uses this system and is the entity that inputs and receives information through a terminal.

[1699] "Terminal" refers to a device used by a user, such as a smartphone, tablet, or PC, which allows the user to access the system and input and receive information.

[1700] "Server" refers to the computer system that receives and processes data sent by users. It analyzes the data using a generative AI model, generates the necessary information, and returns it to the device.

[1701] "Generative AI" refers to algorithms and models that use artificial intelligence technology to generate optimal information based on user profile data and real-time data. Examples include GPT-3 and BERT.

[1702] "Profile Data" refers to personal information that a user enters into the system, such as name, age, interests, and daily routines.

[1703] "Real-time data" refers to the latest data collected from city infrastructure, public services, and commercial facilities. This data is used by the server to provide users with the most appropriate information.

[1704] A "question" refers to a question or request that a user inputs to the system via a terminal.

[1705] "Location information" refers to data relating to a user's current location or a specific location.

[1706] "Destination information" refers to data relating to a location to which a user wishes to travel.

[1707] "Traffic information" refers to data on road conditions, traffic volume, public transportation operation status, etc. that is updated in real time.

[1708] "Event information" refers to data about events and occasions that a user can participate in, generated by the server based on the user's interests and schedule.

[1709] The system of this invention is an information provision system that utilizes artificial intelligence (AI) to support the daily lives of city residents and visitors. This system consists of a terminal used by the user and a server that collects and analyzes data.

[1710] First, the user accesses the system using a terminal. The terminal can be a smartphone, tablet, PC, or any other device that the user finds easy to use. The user enters their information, questions, current location, and destination into the terminal, and then sends it to the server.

[1711] The server uses the following hardware and software:

[1712] Hardware: High-performance servers, storage systems, network equipment

[1713] Software: Database management systems (e.g., MySQL, PostgreSQL), generative AI models (e.g., GPT-3, BERT), real-time data collection APIs (e.g., traffic information APIs, weather data APIs)

[1714] The specific system processes are as follows:

[1715] User Registration

[1716] Users use the terminal to enter information such as their name, age, interests, and daily routine.

[1717] The terminal sends this information to the server, which stores it in a database.

[1718] Real-time data collection

[1719] The server collects real-time data from city infrastructure, public services, and commercial facilities, specifically through traffic information APIs and weather data APIs.

[1720] The terminal receives the information required by the user in real time and displays it to the user.

[1721] Personalized information provision

[1722] The server uses a generative AI model based on the user's profile data to generate information that is optimal for the user.

[1723] The terminal displays the generated personalized information to the user.

[1724] Question-answering system

[1725] The user types a question into the terminal and sends it to the server, for example, "What's the weather like today?"

[1726] The server uses generative AI to generate answers in natural language and send them back to the device.

[1727] The device displays this answer to the user, for example, "Today's weather is sunny."

[1728] Commuting optimization

[1729] The user inputs their current location and destination into the terminal and sends them to the server.

[1730] The server analyzes real-time traffic information and generates the optimal commute route, for example, by using the Google Maps API to check traffic conditions.

[1731] The terminal displays the generated route to the user and provides route guidance.

[1732] Automatic event notification

[1733] The server generates optimal event information based on the user's interests and schedule.

[1734] The device will automatically send event notifications to users for quick reference, such as "The following events are recommended for you: XX Festival."

[1735] As a concrete example, if a user asks, "What restaurant do you recommend for lunch today?", the following prompt sentence is input to the generative AI model:

[1736] "Can you recommend a place for me to have lunch? I like Japanese food."

[1737] Or, in the case of commute optimization, the user types, "What is the best route to work?":

[1738] "What is the best route to commute from my current location to work?"

[1739] In this way, the present invention can provide optimal information and suggestions in real time in response to a wide range of user needs, thereby improving the quality of life of users.

[1740] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1741] Step 1: User Registration

[1742] Input: The user uses the device to enter information such as name, age, interests, and daily routine.

[1743] Specific operation: The information entered by the user is entered into the form fields of the terminal, and the terminal collects this information as a data object.

[1744] Data processing: The terminal converts the input information into JSON format and sends it to the server.

[1745] Output: The server receives the JSON data and stores it in a database using a database management system such as MySQL or PostgreSQL.

[1746] Step 2: Real-time data collection

[1747] Input: The server collects real-time data from the city's infrastructure, public services, and commercial facilities.

[1748] Specific operation: The server calls dedicated APIs (e.g., traffic information API, weather data API) to collect data.

[1749] Data processing: The collected data is analyzed on the server and converted into the required format (e.g., JSON or XML).

[1750] Output: The analyzed real-time data is stored in a database.

[1751] Step 3: Personalized communication

[1752] Input: User profile data and real-time data.

[1753] How it works: The server inputs the user's profile data and a prompt into a generative AI model (e.g., GPT-3, BERT). For example, "Please suggest restaurants this user would enjoy."

[1754] Data processing: The generative AI model generates information based on the input prompt and data, using natural language processing (NLP) algorithms.

[1755] Output: The generated information is sent to a terminal, which displays it visually to the user.

[1756] Step 4: Question-Answering System

[1757] Input: The user types a question into the terminal. Example: "What's the weather like today?"

[1758] Specific operation: The terminal sends the question to the server as text data.

[1759] Data processing: The server inputs the question into a generative AI model to generate an appropriate answer.

[1760] Output: The server sends the generated answer back to the device, which displays it to the user. Example: "The weather is sunny today."

[1761] Step 5: Commute optimization

[1762] Input: The user inputs their current location and destination information into the device. Example: "Current location: XX, Destination: Company."

[1763] Specific operation: The terminal sends this information to the server.

[1764] Data processing: The server retrieves real-time traffic information from the API and calculates the optimal commuting route using a generative AI model.

[1765] Output: The optimal route information is sent to the device, which displays it to the user. Example: "Optimal route: via XX street."

[1766] Step 6: Automatic event notification

[1767] Input: User interests and schedule information.

[1768] What it does: The server uses a generative AI model to select relevant events based on the user's interests and schedule. Example: "This week's events list suitable for this user."

[1769] Data processing: The generative AI model generates event information and customizes it for each user.

[1770] Output: Event information is sent to the device and a notification is automatically displayed. Example: "The following events are recommended for you: XX Festival."

[1771] (Application example 1)

[1772] 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."

[1773] Conventional systems have focused on question-answering and navigation to support users' daily lives, but have been limited in providing information on urban security. In particular, there is a demand for systems that provide safe route guidance and emergency response based on real-time security-related data, such as crime occurrence information. The problem that this invention aims to solve is to improve security within cities and provide an environment in which users can act safely.

[1774] 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.

[1775] In this invention, the server includes a means for updating the user's current location information, a means for collecting security-related data, and a means for evaluating the user's safety based on the collected data and providing advice, thereby enabling the user to obtain accurate security information in real time and take safe actions.

[1776] "User" means an individual or organization that uses this system.

[1777] "Current location information" is real-time location data acquired by a terminal such as a user's smartphone.

[1778] "Profile Data" is data provided by a user that includes personal data such as basic information, interests, daily routines, and schedules.

[1779] "Real-time data" refers to data that includes the latest information collected from city infrastructure, public services, and commercial facilities.

[1780] "Generative AI" is an artificial intelligence technology that generates optimal information based on collected data and user profile data.

[1781] "Security-related data" refers to data related to safety, such as crime occurrence information and emergency information.

[1782] "Advice" is a safety suggestion or recommendation that the generative AI provides to the user based on collected data.

[1783] "Traffic information" refers to real-time data such as current traffic conditions, congestion, and accident information.

[1784] The "optimal route" is the most efficient and safest travel route for the user calculated by the generation AI.

[1785] "Emergency Contact" is a function that allows users to contact the police or other safety agencies in an emergency.

[1786] MODE FOR CARRYING OUT THE INVENTION

[1787] The system of the present invention improves security within cities and provides an environment in which users can act safely. This system consists of a user's terminal and a server that collects and analyzes data.

[1788] System Overview

[1789] User terminal

[1790] Users access this system using devices such as smartphones and tablets. They register their own profile data and input their current location and destination information into the device.

[1791] server

[1792] The server includes the following means:

[1793] 1. A way to update the user's location

[1794] The current location information sent from the user terminal is updated in real time to the server and stored in a database.

[1795] 2. How we collect security-related data

[1796] The server collects security-related data, such as crime and emergency information, from city infrastructure, public services, commercial facilities, etc.

[1797] 3. Using generative AI to provide advice

[1798] The server uses a generative AI based on the collected data and the user's profile data to generate optimal security advice for the user, which is then sent to the user's device.

[1799] 4. A way to calculate the optimal route

[1800] Based on the destination information entered by the user and real-time traffic information, the AI ​​generates the safest route, which is also sent to the user's device.

[1801] 5. Emergency Contact Methods

[1802] It provides a function for users to contact the police or other safety agencies in case of an emergency. This function allows users to instantly contact the nearest police station with a single button on the device.

[1803] Program processing overview

[1804] Hardware and Software Configuration

[1805] 1. User Device

[1806] Hardware: Smartphones, tablets

[1807] Software: Mobile applications, GPS systems

[1808] 2. Server

[1809] Hardware: Data collection server, database server

[1810] Software: Crime information API (e.g., https: / / example.com / crime_data), generative AI models, and data analysis tools

[1811] Data processing and calculation

[1812] The server evaluates the user's current location information based on the crime information API and generates optimal security advice using a generative AI model. It also collects real-time traffic information and uses generative AI to calculate safe routes. This information is sent to the user's device and displayed on the screen.

[1813] Specific examples

[1814] Example 1: Providing security advice

[1815] When a user types "Is my current location safe?", the server retrieves real-time data from a crime information API based on the user's current location and evaluates safety using a generative AI model. As a result, it generates advice such as "This area is currently dangerous. Caution is advised" and displays it on the user's device.

[1816] Prompt Sentence Examples

[1817] My location is {user_location}. Is this area safe?

[1818] Example 2: Safe Route Guidance

[1819] When a user types "Tell me the best route to home," the server retrieves real-time traffic and crime information, calculates a safe and efficient route using a generative AI model, and sends it to the user's device.

[1820] Prompt Sentence Examples

[1821] Guide me to my home safely from {current_location} considering current traffic and crime data.

[1822] Through such an embodiment, the system of the present invention can provide users with real-time security information and support safe daily life.

[1823] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1824] Step 1:

[1825] The user inputs his / her current location information using the terminal, which then transmits the information to the server.

[1826] Input: User's current location information

[1827] Output: Current location information sent to the server

[1828] Specific operation: The user opens the application on their smartphone, enables the GPS function, and registers their current location in the application. The device then sends that information to the server in real time.

[1829] Step 2:

[1830] The server stores the received location information in a database and collects crime occurrence information related to that location.

[1831] Input: Current location information

[1832] Output: Current location information stored in the database and crime occurrence information obtained

[1833] Specific operation: The server stores the current location information in a database and calls an external crime information API to obtain the latest crime occurrence data for that location.

[1834] Step 3:

[1835] The server uses generative AI to analyze the collected crime occurrence information and evaluate the safety of the location.

[1836] Input: Crime occurrence information

[1837] Output: Generated security advice

[1838] How it works: The server inputs crime occurrence information into the generative AI model and evaluates the safety of the area, resulting in a security advice such as "safe" or "dangerous."

[1839] Step 4:

[1840] The server transmits the generated security advice to the user terminal.

[1841] Input: Security Advice

[1842] Output: Security advice sent to the user's device

[1843] Specific operation: The server converts the security advice generated by the generation AI into text format and sends it to the user's smartphone.

[1844] Step 5:

[1845] The user checks the received security advice on the terminal.

[1846] Input: Security Advice

[1847] Output: Security advice confirmed

[1848] Specific actions: The user checks the notification on their smartphone, opens the application and views the security advice.

[1849] Step 6:

[1850] The user inputs a destination and sends it from the terminal to the server.

[1851] Input: Destination information

[1852] Output: Destination information sent to the server

[1853] Specific operation: A user uses an application to input a destination and sends that information to a server.

[1854] Step 7:

[1855] The server collects real-time traffic and crime information based on current location and destination information.

[1856] Input: current location information, destination information

[1857] Output: Collected real-time traffic and crime information

[1858] Specific operation: The server calls the external traffic information API and previously obtained crime information API to obtain the latest traffic information and crime information between the current location and the destination.

[1859] Step 8:

[1860] The server uses a generative AI to calculate the safest route and sends that information to the user's device.

[1861] Input: current location, destination, real-time traffic information, crime information

[1862] Output: Calculated safe route

[1863] How it works: The server inputs all collected data into a generative AI model to calculate the optimal and safest route for the user, and then sends the results in text format to the user's smartphone.

[1864] Step 9:

[1865] The user checks the optimal route received on the terminal and moves according to the instructions.

[1866] Input: Optimal route information

[1867] Output: Optimal route confirmed

[1868] Specific operation: The user checks the received optimal route on the application and follows the route. The device provides real-time navigation through the route guidance function.

[1869] 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.

[1870] The system of this invention utilizes artificial intelligence (AI) and an emotion engine to support the daily lives of city residents and visitors. The system consists of a terminal used by the user and a server that collects and analyzes data.

[1871] System Overview

[1872] Users access the system using a terminal. A variety of devices can be used as terminals, including smartphones, tablets, and PCs. Users enter their personal information, questions, destinations, etc. into the terminal and send it to the server. The server uses generative AI and an emotion engine to generate optimal information for the user based on the collected data and the user's profile and emotion data, and sends it back to the terminal.

[1873] Program processing (overview)

[1874] 1. User Registration:

[1875] Users use the terminal to enter information such as their name, age, interests, and daily routine.

[1876] The terminal sends this information to the server, which stores it in a database.

[1877] 2. Real-time data collection:

[1878] The server collects real-time data from the city's infrastructure, public services, and commercial facilities.

[1879] The terminal receives the information required by the user from the server in real time and displays it to the user.

[1880] 3. Personalized information provision:

[1881] The server uses generation AI based on the user's profile data and emotion data obtained from the emotion engine to generate optimal information.

[1882] The terminal displays the generated personalized information to the user.

[1883] 4. Question-answering systems:

[1884] The user enters a question into the terminal and sends it to the server.

[1885] The server uses generative AI to generate natural language responses and adjusts the tone of the response based on feedback from the emotion engine.

[1886] The terminal displays this response to the user.

[1887] 5. Commuting optimization:

[1888] The user inputs their current location and destination into the terminal and sends them to the server.

[1889] The server analyzes real-time traffic information and generates the optimal commuting route.

[1890] The terminal displays the generated route to the user.

[1891] 6. Automatic event notification:

[1892] The server generates optimal event information based on the user's interests and emotional data.

[1893] The terminal will automatically send event notifications to the user for immediate reference.

[1894] Specific examples

[1895] Example 1: Meal suggestions

[1896] The user inputs a question into the terminal, such as "What restaurant would you recommend for lunch today?"

[1897] The terminal sends this question to the server.

[1898] The server collects the user's profile data and current location, as well as the emotional state obtained from the emotion engine and information on nearby restaurants, and uses generative AI to select the most suitable restaurant.

[1899] The device will display, "The restaurant recommended for you is XX Cafe. Wouldn't you like a place to relax a bit today?"

[1900] Example 2: Commute optimization

[1901] The user types into the terminal, "What is the best route to work?"

[1902] The device sends its current location and company address information to the server.

[1903] The server collects real-time traffic information based on the current location and destination information obtained, as well as the stress level obtained from the emotion engine.

[1904] The server uses a generative AI to calculate the optimal commuting route that avoids congestion.

[1905] The device will display a message to the user saying, "We recommend combining trains and buses to avoid the current congestion."

[1906] summary

[1907] The system of the present invention provides optimal information and suggestions in real time in response to user questions and requests. Furthermore, by combining it with an emotion engine, it becomes possible to provide personalized services that correspond to the user's emotional state. This allows users to efficiently solve various problems they face in their daily lives and obtain a more satisfying experience.

[1908] The processing flow will be explained below.

[1909] Example 1: Meal suggestions

[1910] Step 1:

[1911] The user inputs a question into the terminal, such as "What restaurant would you recommend for lunch today?"

[1912] Step 2:

[1913] The terminal receives the input question and transmits the question data to the server.

[1914] Step 3:

[1915] The server receives the question and retrieves the user's profile data (past dietary history, lifestyle, etc.) from a database.

[1916] Step 4:

[1917] The server collects real-time information about restaurants near the user's current location from the city's infrastructure.

[1918] Step 5:

[1919] The server uses an emotion engine to analyze the user's current emotional state.

[1920] Step 6:

[1921] The server uses generative AI to generate optimal lunch suggestions based on the user's profile data, emotional state, and collected restaurant information.

[1922] Step 7:

[1923] The server sends the generated proposal to the terminal.

[1924] Step 8:

[1925] The device converts the received suggestions into a display format and presents them to the user, saying, "The restaurant we recommend for you is XX Cafe. Wouldn't you like a place where you can relax a bit today?"

[1926] Example 2: Commute optimization

[1927] Step 1:

[1928] The user types into the terminal, "What is the best route to work?"

[1929] Step 2:

[1930] The device acquires the user's current location and destination (company address) information and sends it to the server.

[1931] Step 3:

[1932] The server collects real-time traffic information based on the current location and destination information obtained.

[1933] Step 4:

[1934] The server uses an emotion engine to analyze the user's current emotional state (eg, stress level).

[1935] Step 5:

[1936] The server uses generative AI to calculate the optimal commuting route based on emotional state and traffic information.

[1937] Step 6:

[1938] The server sends the calculated commute route guidance to the terminal.

[1939] Step 7:

[1940] The device converts the received commute route information into a display format and presents it to the user, saying, "To avoid the current congestion, we recommend taking a combination of trains and buses."

[1941] Step 8:

[1942] The user checks the presented commute route and starts commuting accordingly.

[1943] Step 9:

[1944] The server continues to monitor real-time traffic information during the commute.

[1945] Step 10:

[1946] The server sends route changes to the terminal as needed.

[1947] Step 11:

[1948] If there is a change in the route, the device will immediately notify the user and display the new route.

[1949] Step 12:

[1950] The user continues their commute following the updated route.

[1951] Example 3: Automatic event notification

[1952] Step 1:

[1953] The server retrieves the user's profile data (interests, past event participation history, schedule, etc.) from a database.

[1954] Step 2:

[1955] The server collects event information in real time from the city's infrastructure and commercial facilities.

[1956] Step 3:

[1957] The server uses an emotion engine to analyze the user's current emotional state.

[1958] Step 4:

[1959] The server uses generative AI to generate optimal event information based on the user's profile data, emotional state, and collected event information.

[1960] Step 5:

[1961] The server sends the selected event information to the terminal and automatically notifies the user.

[1962] Step 6:

[1963] The device converts the received event notification into a display format and presents it to the user, saying, "The event we recommend for you is XX Festival. You'll have a great time."

[1964] Step 7:

[1965] The user checks the presented event information and decides whether or not to participate.

[1966] Example 2

[1967] 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."

[1968] In modern urban life, a great deal of information is provided in real time, but there is a lack of systems that provide only the most appropriate information for the user. There is also a demand for personalized information provision that responds to the user's situation and emotions. In particular, question-answering systems must be able to respond in a natural tone, and traffic information must be able to present optimal routes in real time, as well as automatically notify users of event information.

[1969] 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.

[1970] In this invention, the server includes means for receiving a question entered by a user, means for analyzing the received question and collecting user profile data and real-time data from city infrastructure, means for generating optimal information for the user using a generation AI based on the collected data, means for utilizing an emotion engine for adjusting the tone of the generated information, and means for transmitting the optimal information to the terminal and providing it to the user, thereby enabling a personalized response to the user's question in a natural tone.

[1971] The server further includes a means for receiving the user's location information and destination information, a means for collecting real-time traffic information, a generating AI means for calculating an optimal route based on the collected traffic data and the user's emotion data, and a means for transmitting the calculated route to the terminal and providing it to the user, thereby enabling the user to obtain an optimal commuting route based on real-time traffic conditions.

[1972] Furthermore, the server includes a generating AI means for generating event information based on the user's schedule, interests, and emotion data, and a means for automatically transmitting the generated event information to the terminal and notifying the user, thereby enabling the user to receive optimal event information based on their interests and emotions in real time.

[1973] "User" refers to an individual or organization that uses the system.

[1974] "Terminal" refers to the device used by the user (smartphone, tablet, PC, etc.).

[1975] "Server" refers to a central computer system that collects, analyzes, stores, and generates information.

[1976] "Profile Data" refers to basic information about a user (such as name, age, interests, daily routine, etc.).

[1977] "Real-time data" refers to data obtained instantly from city infrastructure, public services, commercial facilities, etc.

[1978] "Generative AI" refers to artificial intelligence algorithms that generate information or answers from given data.

[1979] An "emotion engine" refers to a system that analyzes a user's emotions and adjusts the tone and content of information based on those emotions.

[1980] "Tone" refers to the expression and nuance of the information and answers produced.

[1981] "Traffic information" refers to road traffic conditions and public transportation operation information.

[1982] "Optimal route" refers to the most efficient route calculated based on real-time conditions.

[1983] "Event Information" refers to system-generated information about events based on specific interests or schedules.

[1984] "Automatic notification" refers to the function by which the system automatically notifies users of event information in real time.

[1985] This invention is a system that utilizes artificial intelligence (AI) and an emotion engine to support the daily lives of city residents and visitors. The system consists of a device used by the user and a server that collects and analyzes data. Specifically, devices such as smartphones, tablets, and PCs can be used, and the server is responsible for collecting, analyzing, and storing data, as well as generating information.

[1986] System configuration

[1987] Terminal: A user accesses the system through a terminal. The terminal receives user input and sends it to the server. It also displays information received from the server to the user.

[1988] Server: The server collects, analyzes, and stores data. Using a generative AI model and emotion engine, the server generates optimal information for the user based on the collected data, user profile data, and emotion data.

[1989] Data collection and analysis

[1990] The server collects real-time data from city infrastructure, public services, commercial facilities, etc. Specifically, APIs and sensor data are used.

[1991] The server uses data aggregation software (e.g., Apache Kafka) to manage real-time data.

[1992] The terminal receives data in real time from the server in response to a user request and displays it to the user.

[1993] Information generation

[1994] The server generates optimal information using a generative AI model (e.g., OpenAI GPT-4) based on the user's profile data and emotion data obtained from the emotion engine.

[1995] The server adjusts the tone of the generated information using an emotion engine powered by IBM Watson or Azure Cognitive Services.

[1996] The terminal displays the personalized information sent from the server to the user.

[1997] Specific examples

[1998] Example 1: Meal suggestions

[1999] The user inputs a question into the terminal, such as "What restaurant would you recommend for lunch today?"

[2000] The terminal sends this question to the server.

[2001] The server collects the user's profile data and current location, as well as the emotional state obtained from the emotion engine and information on nearby restaurants, and uses generative AI to select the most suitable restaurant.

[2002] The device will display, "The restaurant recommended for you is XX Cafe. Wouldn't you like a place to relax a bit today?"

[2003] Example 2: Commute optimization

[2004] The user types into the terminal, "What is the best route to work?"

[2005] The device sends its current location and company address information to the server.

[2006] The server collects real-time traffic information (e.g., Google Maps API or Here API) based on the current location and destination information obtained, as well as the stress level obtained from the emotion engine.

[2007] The server uses a generative AI to calculate the optimal commuting route that avoids congestion.

[2008] The device will display a message to the user saying, "We recommend combining trains and buses to avoid the current congestion."

[2009] The system of the present invention provides optimal information and suggestions in real time in response to user questions and requests, allowing users to efficiently solve various problems they face in their daily lives and enjoy a more satisfying experience.

[2010] The flow of the identification process in the second embodiment will be described with reference to FIG.

[2011] Step 1:

[2012] The user uses the terminal to enter registration information (such as name, age, interests, and daily routine), which then inputs the user's basic information into the terminal.

[2013] The device sends these input data to the server. The input data (e.g., user's name, age, interests, etc.) is sent to the server.

[2014] The server stores the received information in a database and manages it as profile data. Specifically, it stores the information in a database (e.g., MySQL or PostgreSQL) as "User registration: name, age, interests, daily routine."

[2015] Step 2:

[2016] The server collects real-time data from city infrastructure, public services, and commercial facilities via API requests and sensor data acquisition.

[2017] Specifically, real-time data is collected through APIs (e.g., traffic conditions API, weather API) and managed using data aggregation software (e.g., Apache Kafka).

[2018] Based on the user's information request, the terminal receives the necessary real-time data from the server, which processes the data and sends it to the terminal.

[2019] Step 3:

[2020] The server generates optimal information using a generative AI model (e.g., OpenAI GPT-4) based on the user's profile data and emotion data obtained from the emotion engine.

[2021] Specifically, the profile data and emotion data are combined to generate a prompt sentence, which is then input into the generative AI model. For example, the prompt sentence might be, "What movie would you recommend to relax?"

[2022] The server uses an emotion engine to adjust the tone of the information obtained from the generative AI model and outputs it in the most optimal form for the user.

[2023] The device receives this information and displays it to the user. Specifically, it displays the message, "The movie recommended for you is 'Healing Forest.'"

[2024] Step 4:

[2025] The user types a question into the terminal and sends it to the server, for example, "What restaurant do you recommend for lunch today?"

[2026] The server analyzes the question and inputs it as a prompt to the generative AI, which uses an emotion engine to adjust the tone of the response.

[2027] The server generates a tailored response and sends it to the terminal, for example, tone-adjusted information such as "The restaurant we recommend for you is XX Cafe."

[2028] The terminal displays this response to the user.

[2029] Step 5:

[2030] The user inputs their current location and destination into the device and sends them to the server. For example, they input "current location: home, destination: office."

[2031] The server collects real-time traffic information (e.g., Google Maps API or Here API) and obtains current traffic situation data.

[2032] The server uses generative AI to calculate the optimal commute route based on the current location and destination information acquired, as well as the stress level acquired from the emotion engine, such as a "combination of trains and buses to avoid overcrowding."

[2033] The device will display the optimal commute route to the user, specifically, information such as "We recommend combining trains and buses."

[2034] Step 6:

[2035] The server generates event information based on the user's interests and emotional data, and uses the generation AI to input "events suitable for the user" as a prompt.

[2036] The server transmits the generated event information to the terminal.

[2037] The device will automatically display this notification to the user so that the user can see it immediately, such as "How about checking out the film festival this weekend?"

[2038] (Application example 2)

[2039] 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."

[2040] In today's urban lifestyles, users are exposed to a wealth of information in their daily lives. However, it is difficult to obtain the necessary information in real time and utilize it appropriately in specific situations. Furthermore, systems that enable users to receive appropriate support tailored to their circumstances and interests in activities such as shopping, traveling, and participating in events are still rare. In particular, there are limited means of receiving personalized suggestions based on a user's profile and emotions when shopping in physical stores. Therefore, a solution is needed to improve users' shopping experience and enhance their physical store experience.

[2041] The identification processing by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for receiving a question entered by a user, means for analyzing the received question and collecting real-time data from the user's profile data and city infrastructure, means for generating optimal information for the user using a generation AI based on the collected data, means for providing the generated information to the user, means for collecting and analyzing user emotion data, means for generating personalized in-store product proposals using a generation AI based on the user's emotion data and profile data, means for providing the generated product proposals to the user, and means for generating in-store navigation information and providing it to the user. This enables the user to receive product proposals and navigation in real time that match their interests and emotions.

[2042] "User profile data" refers to data that indicates attributes and information about a user, including, for example, name, age, interests, daily routines, and the like.

[2043] "Urban infrastructure" refers to the infrastructure systems within an urban environment, such as transportation networks, public facilities, power supplies, and water supplies.

[2044] "Real-time data" means data that is collected immediately, without any particular time delay, and is used to provide up-to-date information.

[2045] "Generative AI" is a type of artificial intelligence, a model and system that uses large amounts of data to make predictions and recommendations.

[2046] "Emotional data" refers to data for identifying and analyzing the user's emotional state, including the user's current mood and stress level.

[2047] "Personalized product suggestions" refers to recommending products and services optimized for a specific user based on the user's profile data and emotional data.

[2048] "In-store navigation information" is information that provides guidance to specific locations or products within a physical store.

[2049] "Traffic information" includes information related to travel, such as road congestion and the operation status of public transportation.

[2050] "Event information" is information about events and activities selected based on the user's interests and schedule.

[2051] "Means for generating navigation information" refers to a system or algorithm that calculates and provides guidance on a route to a destination based on the user's current location and map information within the store.

[2052] The present invention is a support system for enabling users to comfortably carry out activities in urban areas. This system provides personalized product recommendations and navigation information based on the user's profile data and emotional data when the user visits a physical store. The components and processing of this system are outlined in detail below.

[2053] Hardware and Software Configuration

[2054] Hardware

[2055] User terminal: A device that can be carried by the user, such as a smartphone or smart glasses.

[2056] Server: A back-end system for collecting and analyzing data and generating information using generative AI. A high-performance server is recommended.

[2057] software

[2058] User terminal application: Developed using React Native and Unity, it provides the user interface, data input, and display functions.

[2059] Server application: Built in Python (Flask), collects data, and runs the generative AI model. MongoDB is used as the database.

[2060] Generative AI and Emotion Engine: Uses OpenAI GPT-3 and Emotion API (Microsoft Azure) for natural language processing and sentiment analysis.

[2061] Data processing and calculation

[2062] Data collection and analysis

[2063] When a user inputs a question or their current mood through the application, the device sends the information to the server, which then collects the user's profile data and real-time data (such as product information in the store and traffic information), and simultaneously analyzes the user's emotional data using an emotion engine.

[2064] Generate personalized suggestions

[2065] Based on the collected data, the server uses a generative AI to generate information optimized for the user. The generative AI receives the user's profile data and emotional data as input and generates product suggestions and navigation information. At this time, the generative AI model is input with a prompt sentence such as the following:

[2066] Specific examples

[2067] For example, if a user is shopping because they want to relax, the app will suggest items such as "relaxing aroma products" or "comfortable loungewear."

[2068] Prompt Sentence Examples

[2069] Below is an example of a prompt sentence to input to the generative AI model.

[2070] The user's current mood is "Relaxation." The user's interests are "Fashion" and "Electronics." Generate the best product list for the user based on the following product data:

[2071] Product data:

[2072] 1. Aroma Diffuser - Price: 3000 yen - Section: Health

[2073] 2. Bluetooth Earphones - Price: 15,000 yen - Section: Electronics

[2074] 3. Sweatpants - Price: 5,000 yen - Category: Fashion

[2075] In this way, the server combines the user's emotions and profile data to make personalized suggestions to improve the shopping experience in the physical store. The generated information is sent to the user's terminal in real time and provided for the user to use effectively.

[2076] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[2077] Step 1:

[2078] Collecting user-entered questions and sentiment information

[2079] The user uses the device to input questions and their current mood into the application. Specifically, they input questions and opinions such as "What products do you recommend today?" or "Please tell me about items that help me relax" through an input form on the device. This input information is then sent by the device to the server.

[2080] Input: Questions and emotional information entered by the user

[2081] Output: Data sent by the device to the server

[2082] Step 2:

[2083] User profile and real-time data collection

[2084] The server retrieves user profile data (such as name, age, interests, and daily routines) from a database, and simultaneously collects real-time data from city infrastructure and physical stores (such as product inventory and promotion information).

[2085] Input: User profile data request, City infrastructure data request

[2086] Output: Profile data, city infrastructure data

[2087] Step 3:

[2088] Emotional Data Analysis

[2089] The server uses the Emotion API to analyze the emotional information entered by the user and determine the user's current emotional state. Specifically, it analyzes the entered text data and classifies it into emotional categories such as "relaxed," "excited," and "sad."

[2090] Input: User's emotional information

[2091] Output: Emotion data (e.g., Relaxed)

[2092] Step 4:

[2093] Generate personalized product recommendations

[2094] The server uses a generative AI model (GPT-3) based on the collected profile data, emotion data, and real-time data to generate optimal product suggestions for the user. At this time, the server inputs the following prompt sentence into the generative AI model to generate product suggestions.

[2095] Input: Profile data, emotion data, real-time data, prompts

[2096] Output: Personalized product recommendations

[2097] Example prompt sentence:

[2098] The user's current mood is "Relaxation." The user's interests are "Fashion" and "Electronics." Generate the best product list for the user based on the product data below.

[2099] Product data:

[2100] 1. Aroma Diffuser - Price: 3000 yen - Section: Health

[2101] 2. Bluetooth Earphones - Price: 15,000 yen - Section: Electronics

[2102] 3. Sweatpants - Price: 5,000 yen - Category: Fashion

[2103] Step 5:

[2104] Sending and displaying generated information

[2105] The server generates personalized product suggestions and sends them to the user's device in real time. The device receives this information and displays it in a user-friendly format. Specifically, the device displays a list of product suggestions on the application's user interface.

[2106] Input: Personalized product suggestions

[2107] Output: Suggestion information displayed in the user interface

[2108] Step 6:

[2109] Generate and provide in-store navigation information

[2110] When a user selects a specific product, the server uses the store's map data to generate navigation information to the desired product, which is also sent in real time to the user's device, which then displays the navigation information to the user.

[2111] Input: Selected product information, store map data

[2112] Output: In-store navigation information

[2113] This allows users to receive product suggestions and navigation in real time that are tailored to their interests and emotions.

[2114] 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.

[2115] 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.

[2116] 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.

[2117] 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.

[2118] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[2119] 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.

[2120] 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).

[2121] 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.

[2122] 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."

[2123] 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.

[2124] 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).

[2125] 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.

[2126] 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.

[2127] 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.

[2128] 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.

[2129] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[2130] 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.

[2131] 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.

[2132] 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.

[2133] 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.

[2134] 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.

[2135] The following is further disclosed regarding the above embodiment.

[2136] (Claim 1)

[2137] means for receiving a user-entered question;

[2138] means for analyzing the received queries and collecting user profile data and real-time data from the city's infrastructure;

[2139] A means to generate optimal information for users using AI based on collected data, and

[2140] means for providing the generated information to a user;

[2141] A system including:

[2142] (Claim 2)

[2143] means for receiving user location information and destination information;

[2144] a means of collecting real-time traffic information;

[2145] A generative AI means to calculate the optimal route based on collected data,

[2146] means for providing the calculated route to a user;

[2147] The system of claim 1 further comprising:

[2148] (Claim 3)

[2149] A generating AI means for generating event information based on a user's schedule and interests;

[2150] means for automatically notifying a user of the generated event information;

[2151] The system of claim 1 further comprising:

[2152] "Example 1"

[2153] (Claim 1)

[2154] means for receiving a user-entered question;

[2155] means for analyzing the received queries and collecting user profile data and real-time data from the city's infrastructure;

[2156] A means to generate optimal information for users using AI based on collected data, and

[2157] means for providing the generated information to a user;

[2158] A means for inputting user information, questions, destinations, etc. into the terminal and transmitting them to the server;

[2159] A means for the server to generate optimal information for the user based on the generated AI model and return it to the terminal;

[2160] A system including:

[2161] (Claim 2)

[2162] means for receiving user location information and destination information;

[2163] a means of collecting real-time traffic information;

[2164] A generative AI means to calculate the optimal route based on collected data,

[2165] means for providing the calculated route to a user;

[2166] A means for a user to input their current location and destination into the terminal and transmit them to a server;

[2167] A means for the server to analyze real-time traffic information and generate an optimal commuting route;

[2168] The system of claim 1 further comprising:

[2169] (Claim 3)

[2170] A generating AI means for generating event information based on a user's schedule and interests;

[2171] means for automatically notifying a user of the generated event information;

[2172] A means for generating optimal event information based on the user's interests and schedule;

[2173] means for automatically notifying a terminal of the generated event information;

[2174] The system of claim 1 further comprising:

[2175] "Application Example 1"

[2176] (Claim 1)

[2177] means for receiving a user-entered question;

[2178] means for analyzing the received queries and collecting user profile data and real-time data from the city's infrastructure;

[2179] A means to generate optimal information for users using AI based on collected data, and

[2180] means for providing the generated information to a user;

[2181] means for updating the user's current location information;

[2182] means of collecting security-related data;

[2183] a means for assessing and providing advice to users on their safety based on the collected data;

[2184] A system including:

[2185] (Claim 2)

[2186] means for receiving user location information and destination information;

[2187] a means of collecting real-time traffic information;

[2188] A generative AI means to calculate the optimal route based on collected data,

[2189] means for providing the calculated route to a user;

[2190] A method to calculate the safest route based on real-time crime occurrence information, and

[2191] The system of claim 1 further comprising:

[2192] (Claim 3)

[2193] A generating AI means for generating event information based on a user's schedule and interests;

[2194] means for automatically notifying a user of the generated event information;

[2195] How to contact the nearest police station in an emergency;

[2196] The system of claim 1 further comprising:

[2197] "Example 2: Combining Emotion Engines"

[2198] (Claim 1)

[2199] means for receiving a user-entered question;

[2200] means for analyzing the received queries and collecting user profile data and real-time data from the city's infrastructure;

[2201] A means to generate optimal information for users using AI based on collected data, and

[2202] a means of utilizing an emotion engine to adjust the tone of the generated information;

[2203] means for transmitting optimal information to a terminal and providing the information to a user;

[2204] A system including:

[2205] (Claim 2)

[2206] means for receiving user location information and destination information;

[2207] a means of collecting real-time traffic information;

[2208] A generation AI means for calculating the optimal route based on the collected traffic data and user emotion data;

[2209] means for transmitting the calculated route to a terminal and providing it to a user;

[2210] The system of claim 1 further comprising:

[2211] (Claim 3)

[2212] A generating AI means for generating event information based on a user's schedule, interests, and emotion data;

[2213] means for automatically transmitting the generated event information to a terminal and notifying the user;

[2214] The system of claim 1 further comprising:

[2215] "Application example 2 when combining emotion engines"

[2216] (Claim 1)

[2217] means for receiving a user-entered question;

[2218] means for analyzing the received queries and collecting user profile data and real-time data from the city's infrastructure;

[2219] A means to generate optimal information for users using AI based on collected data, and

[2220] means for providing the generated information to a user;

[2221] means for collecting and analyzing user emotion data;

[2222] A means for generating personalized in-store product suggestions using a generative AI based on user emotion data and profile data;

[2223] means for providing the generated product suggestions to a user;

[2224] A means for generating in-store navigation information and providing it to a user;

[2225] A system including:

[2226] (Claim 2)

[2227] means for receiving user location information and destination information;

[2228] a means of collecting real-time traffic information;

[2229] A generative AI means to calculate the optimal route based on collected data,

[2230] means for providing the calculated route to a user;

[2231] The system of claim 1 further comprising:

[2232] (Claim 3)

[2233] A generating AI means for generating event information based on a user's schedule and interests;

[2234] means for automatically notifying a user of the generated event information;

[2235] The system of claim 1 further comprising: [Explanation of symbols]

[2236] 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. means for receiving a user-entered question; means for analyzing the received queries and collecting user profile data and real-time data from the city's infrastructure; A means to generate optimal information for users using AI based on collected data, and means for providing the generated information to a user; A system including:

2. means for receiving user location information and destination information; a means of collecting real-time traffic information; A generative AI means to calculate the optimal route based on collected data, means for providing the calculated route to a user; The system of claim 1 further comprising:

3. A generating AI means for generating event information based on a user's schedule and interests; means for automatically notifying a user of the generated event information; The system of claim 1 further comprising:

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