System

Abstract

A system is provided.SOLUTION: A system comprising: location information acquisition means for identifying a current location of a terminal; communication means for transmitting the acquired location information to a server; server means comprising a generative artificial intelligence model for generating relevant tourist attraction information based on the current location of a user; communication means for transmitting the generated tourist attraction information to the terminal; and display means for displaying the received tourist attraction information at the terminal.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] This invention relates to a guide system that responds to increasing inbound demand and provides overseas travelers with a deeper understanding of Japan's attractions. Specifically, the objective is to provide a system that can provide information not only on famous tourist spots, but also on hidden spots, local history, subculture, culture, and cuisine. Another objective is to provide this information in multiple languages ​​so that overseas travelers can use it without language barriers. [Means for solving the problem]

[0005] In order to solve the above problems, the present invention employs the following means. First, it comprises a location information acquisition means for identifying the current location of the terminal. Next, it comprises a communication means for transmitting the acquired location information to a server. Furthermore, it provides server means having a generative artificial intelligence model that generates relevant tourist spot information based on the user's current location. This server means transmits the generated tourist spot information to the terminal. Finally, it includes a display means for displaying the tourist spot information received by the terminal. In this way, the present invention provides a guide system that can identify tourist spots related to history, subculture, culture, and cuisine, and generate and provide information in multiple languages.

[0006] A "terminal" is an electronic device carried by a user for acquiring and displaying location information.

[0007] "Current location" refers to the specific geographic coordinates where the terminal is located.

[0008] "Location information acquisition means" refers to means including a GPS module or other location identification technology for identifying the current location of the terminal.

[0009] "Communication means" refers to means including a communication protocol and a network for transmitting and receiving data between a terminal and a server.

[0010] The "server" is a computing system that receives information about the user's current location, generates related tourist spot information, and transmits it to the terminal.

[0011] The "generative artificial intelligence model" is an artificial intelligence model that identifies related tourist spots based on input location information and generates detailed information about them.

[0012] "Tourist attractions" refer to historical places, subculture-related places, cultural places, gourmet places, etc. that tourists are expected to visit.

[0013] The "display means" refers to a display device such as a display that visually presents tourist spot information received by the terminal to the user.

[0014] "Multilingual" refers to having the ability to generate and provide information in multiple languages.

[0015] The "guide system" refers to the entire system for assisting a user's travel experience, including location information acquisition means, communication means, generative artificial intelligence model, server, and display means. [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 present invention relates to a guide system that provides information on tourist attractions related to a user's current location. Specific embodiments of the system will be described below.

[0038] Terminal

[0039] 1. Get current location:

[0040] The device uses a GPS module to obtain the user's current location, and if the user gives permission, the device can pinpoint the location information accurately.

[0041] 2. Send to server:

[0042] The device transmits the acquired location information to a server using a communication method such as an internet connection or short-range communication.

[0043] 3. Receiving and Displaying Information:

[0044] The tourist spot information sent from the server is received and displayed on the user's screen, using a display such as a smartphone or tablet.

[0045] server

[0046] 1. Receiving location information:

[0047] The server receives the location information sent by the device, which is used to match it with location data stored in the server's database.

[0048] 2. Search for related spots:

[0049] The server uses a generative AI model to search for relevant tourist attractions based on the received location information. This generative AI model can identify historical, subcultural, cultural, and culinary locations.

[0050] 3. Information Generation:

[0051] The server generates detailed information about the searched tourist spot, including its characteristics, history, and reasons for visiting. This information is generated in multiple languages ​​using an AI model.

[0052] 4. Transmission of Information:

[0053] The server then sends the generated tourist spot information to the terminal, allowing the user to obtain related information in real time.

[0054] User

[0055] 1. Launch the app:

[0056] The user starts the guide system application and allows acquisition of location information.

[0057] 2. Verify the information:

[0058] Users can check detailed information about tourist attractions displayed on their devices and select the places they want to visit, giving them the opportunity to learn more about hidden spots and local culture.

[0059] Specific examples

[0060] As a specific example, consider a case where a user is located in Kyoto City. When the user launches the app and allows location information acquisition, the device sends the location information "35.0116, 135.7681" (Kyoto City, Kyoto Prefecture) to the server. The server receives this information and uses the generative AI model to search for related tourist spots such as "Shimogamo Shrine," "Kanra Kyoto Sanjo Branch," and "Kyoto International Manga Museum."

[0061] The server then generates detailed information about these spots in multiple languages ​​and sends it to the user's device. The device receives this information and displays it to the user. Users can check the history of Shimogamo Shrine, the popular menu items at Kanra Kyoto Sanjo, the exhibits at the Kyoto International Manga Museum, and more, and choose places to visit based on their interests.

[0062] In this way, the guide system of the present invention can provide users with information related to not only famous tourist spots, but also hidden spots, local cultures, subcultures, and cuisine, thereby providing a rich travel experience.

[0063] The processing flow will be explained below.

[0064] Step 1:

[0065] The user starts the guide system application.

[0066] Step 2:

[0067] The user allows the device to obtain location information.

[0068] Step 3:

[0069] The device uses the GPS module to obtain location information of the current location.

[0070] Step 4:

[0071] The location information acquired by the device is sent to the server.

[0072] Step 5:

[0073] The server receives the location information transmitted from the terminal.

[0074] Step 6:

[0075] The server uses the generated AI model to search for relevant tourist attractions based on the received location information.

[0076] Step 7:

[0077] The server generates detailed information about the searched tourist spots.

[0078] Step 8:

[0079] The server transmits the generated tourist spot information to the terminal.

[0080] Step 9:

[0081] The terminal receives the tourist spot information transmitted from the server.

[0082] Step 10:

[0083] The tourist spot information received by the device is displayed.

[0084] Step 11:

[0085] The user checks the tourist spot information displayed on the device and selects the places to visit.

[0086] Example 1

[0087] 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."

[0088] The goal of this service is to solve the problem of travelers and tourists being unable to search for relevant places based on their current location and providing multilingual information when obtaining detailed information about the areas they visit in real time.The service also aims to provide a richer experience for travelers by providing information not only on famous tourist spots, but also on hidden gems, local cultures, subcultures, and places related to food.

[0089] 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.

[0090] In this invention, the server includes a location information acquisition means, a communication means for transmitting the acquired location information to the server, a server means having a generative machine learning model for generating related place information based on the user's current location, a communication means for transmitting the generated location information to the terminal, and a display means for displaying the location information received by the terminal, thereby enabling related place information to be provided in multiple languages ​​in real time.

[0091] "Location information acquisition means" refers to a device or software that has the function of identifying the current location of the user's terminal.

[0092] "Communication means" refers to devices or software that have the function of sending and receiving acquired location information and generated information between a server and a terminal.

[0093] A "generative machine learning model" is an artificial intelligence model used to generate relevant place information based on a user's current location, and refers to a program with multilingual support and data analysis capabilities.

[0094] "Server means" refers to a device or system that has a generative machine learning model and a location information matching database, and has the function of searching and generating related information based on the acquired location information and transmitting it to the terminal.

[0095] The "display means" refers to a display or a display screen for visually presenting the location information received by the terminal to the user.

[0096] "Location information" refers to detailed information about tourist attractions, cultural facilities, eating and drinking spots, etc. related to the user's current location, including history, characteristics, photos, and reasons for visiting.

[0097] The present invention relates to a guide system that provides relevant location information based on a user's current location. The system aims to provide users with real-time, multilingual location information by mainly utilizing terminals, servers, communication means between them, and generative machine learning models.

[0098] Terminal

[0099] The device uses a built-in GPS module and communication functions to obtain the user's current location and transmits that information to a server. The device is intended to be a mobile device such as a smartphone or tablet.

[0100] 1. Obtaining location information: The device uses the GPS module to accurately determine the user's current location. To do this, the user must grant permission to obtain location information. Specifically, the application asks the user, "Do you want to allow the app to obtain your current location information?" and the user selects "Allow."

[0101] 2. Send to server: The location information is then sent to the server via your internet connection. This process happens in the background and is not visible to the user.

[0102] 3. Receiving and displaying information: The device receives the tourist spot information sent from the server and displays it on the user's screen. The display content includes the location name, photo, description, etc.

[0103] server

[0104] The server uses a generative machine learning model to generate information about related tourist spots based on the received location information and then sends it back to the device. The server is located in a data center with powerful processing power and compares the user's location information with a large database.

[0105] 1. Receiving location information: The server receives the location information sent from the device and prepares to match it with the database.

[0106] 2. Find related places: Using a generative machine learning model, we search for related tourist attractions based on the received location information. This includes places related to history, subcultures, culture, and food.

[0107] 3. Tourist attraction information generation: Detailed information about the searched tourist attractions is generated. This information includes the characteristics and history of the place, its worth visiting, user reviews, etc. The information is generated in multiple languages.

[0108] 4. Sending tourist attraction information: Send the generated information to the terminal so that the user can receive it in real time.

[0109] User

[0110] Users can receive relevant location-based information in real time through the application and use that information to plan their visits to tourist attractions.

[0111] 1. App launch: The user launches the guide system application and allows location information acquisition, which prepares the device to acquire the current location using the GPS module.

[0112] 2. Check information: Check detailed information about tourist spots displayed on the device and select the places you want to visit. This allows users to learn more about hidden spots and local culture.

[0113] Specific examples

[0114] Consider a case where a user is in a certain city. When the user launches the app and allows location information acquisition, the device sends the location information "35.0116, 135.7681" to the server. The server receives this information and uses a generative machine learning model to search for related tourist spots such as "Sightseeing Spot A," "Sightseeing Spot B," and "Sightseeing Spot C."

[0115] The server generates detailed information about these spots in multiple languages ​​and sends it to the user's device. The device receives this information and displays it to the user. The user can check the history of spot A, the popular menu items at spot B, the exhibits at spot C, and so on, and choose the places to visit based on their interests.

[0116] Prompt Sentence Examples

[0117] "Get your location and search for nearby attractions."

[0118] "Generate tourist spot information based on 35.0116, 135.7681."

[0119] "What are some recommended tourist spots in a certain city?"

[0120] In this way, the guide system can provide users with relevant location information in multiple languages ​​in real time, enriching their travel experience.

[0121] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0122] Step 1: Obtaining location information

[0123] Description: The device uses the GPS module to obtain the user's current location. The user must grant permission to obtain location information.

[0124] Input: Location permission from the user.

[0125] Data processing: The GPS module measures the user's current location (latitude and longitude).

[0126] Output: The location information obtained (e.g. "35.0116, 135.7681").

[0127] Specific behavior: The app on the device asks the user, "Do you want to allow the app to obtain your current location?" If the user selects "Allow," the device displays "Obtaining current location..." and uses GPS to determine the location.

[0128] Step 2: Send location information to the server

[0129] Description: The device sends the acquired location information to a server via an internet connection.

[0130] Input: The location information obtained (e.g. "35.0116, 135.7681").

[0131] Data processing: Convert location information into HTTP request format.

[0132] Output: HTTP request with location information.

[0133] Specific operation: The device sends the location data of "35.0116, 135.7681" to the server, and the screen displays "Sending...".

[0134] Step 3: Receiving location information

[0135] Description: The server receives the location information sent by the device and compares it with the location data stored in the database.

[0136] Input: The location sent from the device (e.g. "35.0116, 135.7681").

[0137] Data processing: Convert the location information into a format that can be matched with location data in the database.

[0138] Output: Locations ready to be matched.

[0139] Specific behavior: The server logs "Location '35.0116, 135.7681' received."

[0140] Step 4: Search for related spots

[0141] Description: The server uses a generative AI model to search for relevant tourist attractions based on the received location information.

[0142] Input: Location information ready to be matched.

[0143] Data processing: Using a generative AI model, we search for related spots.

[0144] Output: A list of related attractions as search results.

[0145] Specific operation: The server updates the processing status to "Searching for related tourist spots based on the received location information..."

[0146] Step 5: Generate tourist spot information

[0147] Description: The server generates detailed information about the tourist attractions you searched for. This information is available in multiple languages.

[0148] Input: A list of relevant attractions.

[0149] Data processing: Using a generative AI model, detailed tourist spot information (descriptions, photos, reviews, etc.) is generated in multiple languages.

[0150] Output: Generated tourist spot information.

[0151] Specific operation: The server generates information such as "historical information about Shimogamo Shrine, in multiple languages," "popular menu items, opening hours, etc."

[0152] Step 6: Submit tourist attraction information

[0153] Description: The generated tourist spot information is sent from the server to the device.

[0154] Input: Generated tourist spot information.

[0155] Data processing: Convert tourist spot information into HTTP response format.

[0156] Output: HTTP response containing tourist spot information.

[0157] Specific operation: The server updates the processing status with "Sending tourist spot information to the terminal..." and, if successful, logs "Sending completed."

[0158] Step 7: Receiving and displaying information

[0159] Description: The terminal receives tourist spot information sent from the server and displays it on the user's display.

[0160] Input: HTTP response containing tourist spot information sent from the server.

[0161] Data processing: Converting received information into a displayable format.

[0162] Output: Tourist attraction information displayed on the user's display.

[0163] Specific operation: The device displays "Information received" and displays the "tourist attraction names, photos, and descriptions" to the user in list format.

[0164] In this way, by linking the terminal, server, and user, the system can provide relevant tourist spot information in real time based on the user's current location.

[0165] (Application example 1)

[0166] 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."

[0167] Conventional tourist guide systems have limited functionality for providing tourist spot information based on the user's current location and lack integration with autonomous vehicles. This makes it difficult for users to obtain real-time tourist spot and gourmet information while driving. There is also a demand for a system that not only displays information visually but also provides audio guidance, allowing drivers to obtain information with peace of mind.

[0168] 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.

[0169] In this invention, the server includes location information acquisition means for identifying the current location of the terminal, communication means for transmitting the acquired location information to the server, means for providing a generative artificial intelligence model for generating relevant tourist spot information based on the user's current location, communication means for transmitting the generated tourist spot information to the terminal, display means for displaying the tourist spot information received by the terminal, voice guidance means for providing guidance on the tourist spot information received by a voice assistant, and means for being integrated into the infotainment system of the autonomous vehicle, thereby enabling the user to obtain tourist spot and gourmet information visually and audibly in real time while driving.

[0170] "Location information acquisition means" refers to a function or device for identifying the current location of a terminal.

[0171] "Communication means" refers to the functions and devices for transmitting acquired location information and generated tourist spot information to a server or terminal.

[0172] "Generative AI model" refers to an AI technology for generating relevant tourist spot information based on a user's current location.

[0173] "Server means" refers to a function or device that has a generative artificial intelligence model, generates tourist spot information based on received location information, and transmits it to a terminal.

[0174] "Display means" refers to a function or device for displaying tourist spot information received by the terminal to the user.

[0175] "Audio guidance means" refers to a function or device for providing audio guidance of the received tourist spot information.

[0176] "Autonomous vehicle infotainment system" refers to a system that integrates information and entertainment functions installed in an autonomous vehicle.

[0177] The present invention provides a guide system that provides information on tourist attractions related to a user's current location, and the system is applied to an infotainment system for an autonomous vehicle. Hereinafter, an embodiment of the present invention will be described in detail.

[0178] Terminal

[0179] 1. Get current location:

[0180] The device uses a GPS module to obtain the user's current location. The GPS system of the device is used as the technology for obtaining this location information.

[0181] 2. Send to server:

[0182] The device sends the acquired location information to a cloud server via an internet connection.

[0183] 3. Receiving and Displaying Information:

[0184] The tourist spot information sent from the server is received and displayed on the terminal's display. The information is also provided by a voice assistant. The display means and voice guidance means are integrated with the vehicle's infotainment system.

[0185] server

[0186] 1. Receiving location information:

[0187] The server receives the location information sent from the device via a REST API.

[0188] 2. Search for related spots:

[0189] The server uses a generative AI model, such as GPT-4, to search for relevant tourist spots based on the received location information. This AI model generates tourist spot information using a prompt sentence as input.

[0190] 3. Information Generation:

[0191] The server generates detailed information about the searched tourist spot, including the tourist spot's name, overview, history, and reasons for visiting. The generated information can be provided in multiple languages.

[0192] 4. Transmission of Information:

[0193] The server then sends the generated tourist spot information to the terminal, allowing the user to obtain related information in real time.

[0194] User

[0195] 1. Launch the app:

[0196] The user starts the guide system application and allows acquisition of location information.

[0197] 2. Verify the information:

[0198] Users can view the received tourist attraction details on their device's display and voice assistant, and then select the places they want to visit, giving them the opportunity to learn more about hidden spots and local culture.

[0199] Specific examples

[0200] As a concrete example, consider a user traveling in a self-driving vehicle within Kyoto City. When the user launches the app and allows location information acquisition, the device sends the location information "35.0116, 135.7681" (Kyoto City, Kyoto Prefecture) to the server. The server receives this information and uses a generative AI model to search for related tourist spots such as "historical shrines," "famous restaurants," and "manga museums." Examples of prompts to specify are as follows:

[0201] The user's current location is "35.0116, 135.7681" (Kyoto City, Kyoto Prefecture). Please suggest three related tourist spots based on this location information.

[0202] The server then generates detailed information about these spots in multiple languages ​​and sends it to the user's device. The device receives this information, displays it on its screen, and uses a voice assistant to guide users. Users can check the history of a historic shrine, recommended menu items at a famous restaurant, or the exhibits at a manga museum, and choose places to visit based on their interests.

[0203] In this way, the guide system of the present invention can provide a rich travel experience even in an autonomous vehicle.

[0204] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0205] Step 1:

[0206] The user launches the guide application in the infotainment system of the autonomous vehicle and allows location information to be acquired. This causes the device to use the GPS module to determine the current location and obtain the current location coordinates (input). Once the location coordinates are acquired, they are sent to the next step (output).

[0207] Step 2:

[0208] The device sends the acquired location coordinates to the server via an Internet connection (input), and the sent location coordinates are received via the server's REST API (output). This prepares the device to use the location information to search for information on related tourist attractions.

[0209] Step 3:

[0210] The server inputs the received location coordinates into a generative AI model. This model generates relevant tourist spot information based on the location coordinates. Specifically, the prompt statement, "The user's current location is '35.0116, 135.7681'. Please suggest three relevant tourist spots based on this location information," is input into the generative AI model (e.g., GPT-4) to generate tourist spot information (output).

[0211] Step 4:

[0212] The tourist spot information generated by the generative AI model is stored on the server and then prepared for transmission to the user's device. The server also has the ability to generate tourist spot information in multiple languages, so it generates information in the language set by the user (input). Multilingual tourist spot information is then generated (output).

[0213] Step 5:

[0214] The server sends the generated tourist spot information to the device. The device then displays detailed information such as the tourist spot's name, overview, and history on the display (input). At the same time, the voice assistant provides audible guidance about the tourist spot information (output). Specifically, the voice guide is launched using the pyttsx3 library.

[0215] Step 6:

[0216] The user can check tourist spot information on the device display and select places to visit. Voice guidance allows the user to receive information while safely driving the vehicle. The final output is when the user selects a spot that interests them.

[0217] Through the above processing steps, the guide system of the present invention provides the user with information on tourist attractions in real time, realizing a rich travel experience in an autonomous vehicle.

[0218] 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.

[0219] The present invention relates to a guide system that provides information on tourist attractions related to a user's current location, and by combining it with an emotion engine, it is possible to provide more personalized tourist attraction information according to the user's emotions. Specific embodiments of this system are described below.

[0220] Terminal

[0221] 1. Get current location:

[0222] The device uses a GPS module to obtain the user's current location, and if the user gives permission, the device can pinpoint the location information accurately.

[0223] 2. Send to server:

[0224] The device transmits the acquired location information to a server using a communication method such as an internet connection or short-range communication.

[0225] 3. User Emotion Recognition:

[0226] The device uses sensors such as a camera and microphone to analyze the user's facial expressions and voice, and recognizes the user's emotions using an emotion engine.

[0227] 4. Receiving and Displaying Information:

[0228] The tourist spot information sent from the server is received and displayed on the user's screen, using a display such as a smartphone or tablet.

[0229] server

[0230] 1. Receiving location information:

[0231] The server receives the location information sent by the device, which is used to match it with location data stored in the server's database.

[0232] 2. Receiving emotion data:

[0233] The server receives the user's emotional data transmitted from the device, allowing the server to understand the user's current emotional state.

[0234] 3. Search for related spots:

[0235] The server uses a generative AI model to search for relevant tourist attractions based on the received location and emotion data. The generative AI model can identify historical, subcultural, cultural, and culinary locations.

[0236] 4. Information Generation:

[0237] The server generates detailed information about the searched tourist spot, including the location's characteristics, history, and reasons for visiting. Using an AI model and emotion engine, this information is generated in multiple languages ​​according to the user's emotions.

[0238] 5. Transmission of Information:

[0239] The server then sends the generated tourist spot information to the terminal, allowing the user to obtain related information in real time.

[0240] User

[0241] 1. Launch the app:

[0242] The user launches the guide system application and allows location information acquisition and emotion recognition.

[0243] 2. Verify the information:

[0244] The user can check the detailed information of tourist spots displayed on the device and select the places to visit, thereby enabling the user to visit tourist spots that suit their current emotional state.

[0245] Specific examples

[0246] As a specific example, consider a case where a user is in Kyoto City. When the user launches the app and allows location information acquisition and emotion recognition, the device sends the location information "35.0116, 135.7681" (Kyoto City, Kyoto Prefecture) along with emotion data indicating the user is "having fun" to the server. The server receives this information and uses a generative AI model and emotion engine to search for related tourist spots such as "Shimogamo Shrine," "Kanra Kyoto Sanjo Branch," and "Kyoto International Manga Museum."

[0247] The server then generates detailed information about these spots in multiple languages ​​and sends the information optimized for the user's emotional state to the device. The device receives this information and displays it to the user. Users can check the history of Shimogamo Shrine, the popular menu items at Kanra Kyoto Sanjo, the exhibits at the Kyoto International Manga Museum, and more, and choose spots to visit that suit their emotions.

[0248] In this way, the guide system of the present invention can provide information related to not only famous tourist spots but also hidden spots, local culture, subcultures, and cuisine based on the user's current location and emotions, thereby providing a rich travel experience.

[0249] The processing flow will be explained below.

[0250] Step 1:

[0251] The user starts the guide system application.

[0252] Step 2:

[0253] The user allows the device to acquire location information and recognize emotions.

[0254] Step 3:

[0255] The device uses the GPS module to obtain location information of the current location.

[0256] Step 4:

[0257] The device uses sensors such as a camera and microphone to recognize the user's emotional state using an emotion engine.

[0258] Step 5:

[0259] The location information and emotion data acquired by the terminal are transmitted to a server.

[0260] Step 6:

[0261] The server receives the location information and emotion data transmitted from the terminal.

[0262] Step 7:

[0263] The server uses the generated AI model to search for relevant tourist attractions based on the received location information.

[0264] Step 8:

[0265] The server uses an emotion engine to change the recommended ranking of tourist spots based on the received emotion data.

[0266] Step 9:

[0267] The server generates detailed information about the searched tourist spots.

[0268] Step 10:

[0269] The server transmits the generated tourist spot information to the terminal.

[0270] Step 11:

[0271] The terminal receives the tourist spot information transmitted from the server.

[0272] Step 12:

[0273] The tourist spot information received by the terminal is displayed on the user's screen.

[0274] Step 13:

[0275] The user checks the tourist spot information displayed on the device and selects the places to visit.

[0276] Example 2

[0277] 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."

[0278] Conventional tourist information systems guide users to tourist spots based on their current location, but lack the ability to provide tourist information based on the user's specific emotional state. This makes it difficult for users to find tourist spots that match their emotions and moods, limiting their travel experience.

[0279] 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.

[0280] In this invention, the server includes emotion recognition means and a means for providing a generative artificial intelligence model for generating relevant tourist spot information based on the user's current location and emotion data, communication means for transmitting the generated tourist spot information to the terminal, and display means for displaying the tourist spot information received by the terminal, thereby making it possible to provide personalized tourist information according to the user's current location and emotional state.

[0281] "Location information acquisition means" refers to the GPS module or location information service that the terminal uses to identify the user's current location.

[0282] "Communication means" refers to an Internet connection or short-range communication technology (e.g., Wi-Fi or mobile data communication) for sending and receiving data between a terminal and a server.

[0283] "Emotion recognition means" refers to algorithms or engines that use sensors such as cameras and microphones to analyze the user's facial expressions and voice and recognize their emotions.

[0284] "Generative AI model" refers to an AI algorithm for generating relevant tourist spot information based on a user's current location and emotion data.

[0285] "Display means" refers to a display or user interface that allows the tourist spot information received by the terminal to be visualized for the user.

[0286] The present invention relates to a guide system that provides relevant tourist spot information based on a user's current location and emotions. The system is composed of a terminal, a server, and a user interface. Specific embodiments of the system are described below.

[0287] Terminal

[0288] 1. Obtaining your current location

[0289] The device uses the GPS module to obtain the user's current location. When the user installs the application and allows location information acquisition, the device calculates the latitude and longitude of the current location. For example, the device's location information service obtains data in the format "35.0116, 135.7681".

[0290] 2. Send to the server

[0291] The device sends the acquired location information to the server using the HTTPS protocol. For example, the device constructs JSON data in the format "{lat: 35.0116, lon: 135.7681}" and sends it to the server.

[0292] 3. User Emotion Recognition

[0293] The device uses sensors such as a camera and microphone to analyze the user's facial expressions and voice. This allows the emotion engine to recognize the user's emotions. Specifically, it extracts the user's facial landmarks from the camera footage in real time and performs voice tone analysis. As a result, emotional data such as "happy," "sad," and "excited" is generated.

[0294] 4. Receiving and Displaying Information

[0295] The device receives tourist spot information sent from the server and displays it on the user's display. The received information includes tourist spot names, descriptions, images, etc., allowing the user to intuitively understand the information.

[0296] server

[0297] 1. Receiving location and emotion data

[0298] The server receives the location information and emotion data sent from the device. When an HTTP POST request arrives, it parses the request body to extract the location information and emotion data and stores them in a backend database.

[0299] 2. Search for related spots

[0300] The server uses the generative AI model to search for relevant tourist spots based on the received location information and emotion data. For example, the server sends the prompt "Please suggest tourist spots for the user who is enjoying themselves at the location 35.0116, 135.7681" to the generative AI model.

[0301] 3. Information Generation

[0302] The server generates detailed information about the tourist spots that were searched for. This information is generated by aggregating multiple data sources, such as the tourist spot's characteristics, history, and user reviews, and is optimized to match the user's emotions using an emotion engine. For example, if a user is recognized as "fun," the server will highlight fun events and activities at that location.

[0303] 4. Transmission of Information

[0304] The server sends the generated tourist spot information to the device, which encodes it in JSON format and returns it to the device using the HTTPS protocol.

[0305] User

[0306] 1. Launch the app

[0307] The user launches the guide system application and grants permission to acquire location information and recognize emotions. When the user launches the app for the first time, a pop-up appears requesting permission to use location services and the camera and microphone, and the user taps the Allow button.

[0308] 2. Verify the information

[0309] Users can check the detailed information of tourist spots displayed on their device and choose the places they want to visit by tapping on the spot they are interested in from the list or map displayed on the app interface, then read more details and make a decision.

[0310] Prompt Sentence Examples

[0311] Here are some examples of prompts used by generative AI models:

[0312] "Location information: 35.0116, 135.7681 Emotion data: Enjoying. Please suggest tourist spots suitable for the user."

[0313] By inputting this prompt sentence into the generative AI model, information on related tourist spots such as "Shimogamo Shrine," "Kanra Kyoto Sanjo Store," and "Kyoto International Manga Museum" is returned.

[0314] The present invention enhances the travel experience of each individual user by providing personalized tourist information in real time according to the user's current location and emotional state.

[0315] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0316] Step 1:

[0317] Get current location

[0318] The device uses the GPS module to obtain the user's current location. As input, the device asks the user to allow location information to be provided within the application. Based on this, the device's location information service receives signals from GPS satellites and calculates latitude and longitude data. Specifically, it calls the location information service API to obtain latitude and longitude data in the format "35.0116, 135.7681."

[0319] Step 2:

[0320] Sending to the server

[0321] The device sends the location information it has acquired to the server. As input, the device has the acquired latitude and longitude data (e.g., "35.0116, 135.7681"). This data is sent to the server using the HTTPS protocol. Specifically, the device constructs data in JSON format and sends an HTTP POST request to the specified endpoint on the server. The output is the location information sent to the server.

[0322] Step 3:

[0323] User Emotion Recognition

[0324] The device uses a camera and microphone to analyze the user's facial expressions and voice to recognize emotions. The device receives camera footage and audio data as input. Based on this, the internal emotion engine extracts the user's facial landmarks in real time and analyzes the tone of their voice. Specifically, it runs an emotion analysis algorithm to generate emotion data such as "happy," "sad," or "excited." The output is the user's emotion data.

[0325] Step 4:

[0326] Sending emotional data

[0327] The device sends the recognized emotion data to the server. As input, the device has the user's emotion data (e.g., "fun"). This is sent to the server along with location data using the HTTPS protocol. Specifically, the device encodes the emotion data into JSON format and sends an HTTP POST request. The output is the emotion data sent to the server.

[0328] Step 5:

[0329] Receiving location and emotion data

[0330] The server receives the location information and emotion data sent from the device. As input, the server receives the data included in the HTTP POST request. Based on this, it parses the request body to extract the location information and emotion data. Specifically, it saves the location information and emotion data in a backend database. The output is the location information and emotion data stored in the database.

[0331] Step 6:

[0332] Search for related spots

[0333] The server uses the generative AI model to search for relevant tourist attractions based on location information and emotion data. As input, the server has location information and emotion data stored in a database. Based on this, it sends a prompt to the generative AI model. Specifically, the server inputs a prompt such as "Please suggest tourist attractions for the user who is enjoying themselves at the location 35.0116, 135.7681" into the generative AI model. The output is a list of relevant tourist attractions.

[0334] Step 7:

[0335] Information generation

[0336] The server generates detailed information about related tourist spots. As input, the server has a list of tourist spots obtained from the generative AI model. Based on this, it aggregates data such as the tourist spot's characteristics, history, and user reviews, and uses an emotion engine to optimize the expression to match the user's emotions. Specifically, it generates multilingual information and highlights fun events and activity information according to the "fun" keyword. The output is detailed tourist spot information.

[0337] Step 8:

[0338] Sending information

[0339] The server generates tourist spot information and sends it to the terminal. As input, the server has detailed tourist spot information. It encodes this information into JSON format and sends it to the terminal using the HTTPS protocol. Specifically, the server sends the generated information as an HTTP response. The output is the tourist spot information sent to the terminal.

[0340] Step 9:

[0341] Receiving and displaying information

[0342] The device displays tourist spot information received from the server to the user. As input, the device has an HTTP response containing tourist spot information. Based on this, the information is displayed in the application's UI component. Specifically, the name, description, image, etc. of the tourist spot are displayed in the user interface. The user checks this and selects the place to visit. The output is the tourist spot information displayed to the user.

[0343] (Application example 2)

[0344] 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."

[0345] Conventional tourist spot information systems mainly provide information based on the user's current location and do not provide personalized information that takes into account the user's emotional state. Furthermore, because the field is limited to tourism, it is difficult to respond to the diverse needs of users. Furthermore, the information provided is often limited to one language, which can be inconvenient for tourists.

[0346] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0347] In this invention, the server includes means for providing a generative artificial intelligence model for generating relevant spot information based on the user's current location and emotional state, means for identifying spots related to food, drink, entertainment, and culture, and means for generating spot information in multiple languages, thereby enabling provision of personalized multilingual information related to food, drink, entertainment, and culture according to each user's emotional state.

[0348] "Location information acquisition means" refers to a means for identifying the current location of a terminal using a GPS module or the like.

[0349] "Communication means" refers to means such as an internet connection or short-range communication for transmitting acquired location information and other data to a server.

[0350] "User's emotional state" refers to emotional data based on the user's facial expressions and voice, which are analyzed using sensors such as a camera and microphone.

[0351] A "generative artificial intelligence model" is an AI model for generating relevant spot information based on a user's current location and emotional state.

[0352] "Server means" refers to a server for receiving and processing data relating to the user's location and emotional state.

[0353] "Spot information" is detailed information about places related to eating and drinking, entertainment, culture, etc.

[0354] The "display means" refers to a display or screen for visually presenting the spot information received by the terminal to the user.

[0355] "Spots related to food, drink, entertainment, and culture" are places that meet a variety of user needs, such as restaurants, cafes, tourist attractions, and entertainment facilities.

[0356] "Generating spot information in multiple languages" is a function that provides information to users in multiple languages.

[0357] The present invention relates to a system for providing optimal spot information based on a user's current location and emotional state. Specific embodiments will be described below.

[0358] System Configuration

[0359] This system is composed of a user's terminal, a server, and a generative AI model. The main components are as follows:

[0360] 1. Terminal

[0361] Location information acquisition means: The GPS module is used to identify the user's current location.

[0362] Communication means: Includes an internet connection and short-range communication means for transmitting acquired location information to a server.

[0363] User emotion recognition means: Analyzes user emotions using sensors such as cameras and microphones.

[0364] Display means: Equipped with a display for displaying spot information transmitted from the server.

[0365] 2. Server

[0366] Data receiving means: Receives location information and emotion data sent from the terminal.

[0367] Generative artificial intelligence model: Generates spot information based on received data.

[0368] Communication method: Sends the generated spot information to the terminal.

[0369] Program processing

[0370] The system uses Python as the primary programming language and involves the following libraries and APIs:

[0371] geopy: Supports location retrieval.

[0372] OpenAI API: Uses generative AI models to generate spot information based on the user's location and emotional state.

[0373] DeepFace: A deep learning model for emotion recognition.

[0374] Tkinter: A framework for GUI display.

[0375] Hardware Details

[0376] Smartphone: Equipped with a GPS module, camera, microphone, and display.

[0377] Server: Equipped with highly efficient processing units to ensure performance.

[0378] Specific examples of processing

[0379] For example, consider a situation where a user is in a city center and their emotional state is recognized as "having fun." Below is an example of a prompt sentence that can be input to the generative AI model:

[0380] Examples of prompt statements

[0381] Suggest the best restaurant when the user's current location is latitude 35.6895, longitude 139.6917 and emotional state is enjoying.

[0382] Based on these prompts, the generative AI model generates information on dining, entertainment, and cultural spots that are suitable for the user. This information is sent from the server to the device and displayed on the user's smartphone screen. This allows the user to receive suggestions for the best places and activities to take based on their emotional state, providing a more personalized experience.

[0383] Usage example

[0384] When a user launches the app, their location information is automatically acquired, and emotion recognition is performed using the camera and microphone. Below is an example of how the system works.

[0385] 1. Location information acquisition:

[0386] Use GPS to determine the user's current location, for example, latitude 35.6895, longitude 139.6917.

[0387] 2. Emotion recognition:

[0388] If the user is having fun, it is determined that the user is "having fun" by analyzing their smile and voice.

[0389] 3. Spot search and prompt generation:

[0390] Generate the above prompt sentence and input it into the generative AI model.

[0391] 4. Information Generation and Display:

[0392] Information on suggested restaurants and entertainment facilities is generated and sent to and displayed on the user's device.

[0393] This allows users to quickly find the best place for their emotional state.

[0394] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0395] Step 1:

[0396] The device obtains the user's current location. Specifically, it obtains latitude and longitude information using the device's GPS module. This input data is the user's current location, and is saved in an internal temporary file for use in the next step. The output is location information (latitude and longitude).

[0397] Step 2:

[0398] The device sends the acquired location information to the server. The device sends the location data to the server via a communication means. Specifically, the device sends the location information to a specific API endpoint on the server via an internet connection. The input is the location information, and the output is the location information sent to the server.

[0399] Step 3:

[0400] The device recognizes the user's emotional state. It uses a camera and microphone to capture the user's facial expressions and voice and then performs emotion analysis. Specific examples include facial expression analysis of facial images and voice tone analysis using deep learning. The input is the user's facial image and voice data, and the output is recognized emotion data.

[0401] Step 4:

[0402] The device sends the recognized emotion data to the server. The device then sends the emotion data to the server via a communication method. Specifically, the device sends the data to the server's API endpoint via an internet connection, just like when sending location information. The input is emotion data, and the output is the emotion data sent to the server.

[0403] Step 5:

[0404] The server processes the received location information and emotion data and inputs it into the generative AI model. The server analyzes the received data to generate a prompt sentence, which is then input into the generative AI model. A specific prompt sentence might be in the form of "When the user's current location is latitude XX.XXXX, longitude XX.XXXX, and their emotional state is XXX, please suggest the best restaurant." The input is location information and emotion data, and the output is input to the AI ​​model using the prompt sentence.

[0405] Step 6:

[0406] A generative AI model generates the best spot information for the user. The generative AI model generates spot information based on the input prompt. For example, it can suggest restaurants or entertainment venues based on a specific location and emotional state. The input is the prompt, and the output is the generated spot information.

[0407] Step 7:

[0408] The server sends the generated spot information to the terminal. The server then sends the generated spot information to the terminal via a communication means. Specifically, data is communicated using an API endpoint. The input is the generated spot information, and the output is the data sent to the terminal.

[0409] Step 8:

[0410] The terminal displays the received spot information. The terminal displays the received data on a display. Specifically, information such as the spot name, address, and rating is displayed on the user interface. Navigation links and phone numbers may also be displayed. The input is the spot information received from the server, and the output is a display that the user can visually confirm.

[0411] 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.

[0412] 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.

[0413] 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.

[0414] [Second embodiment]

[0415] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0416] 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.

[0417] 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).

[0418] 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.

[0419] 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.

[0420] 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).

[0421] 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.

[0422] 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.

[0423] 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.

[0424] 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.

[0425] 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.

[0426] 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."

[0427] The present invention relates to a guide system that provides information on tourist attractions related to a user's current location. Specific embodiments of the system will be described below.

[0428] Terminal

[0429] 1. Get current location:

[0430] The device uses a GPS module to obtain the user's current location, and if the user gives permission, the device can pinpoint the location information accurately.

[0431] 2. Send to server:

[0432] The device transmits the acquired location information to a server using a communication method such as an internet connection or short-range communication.

[0433] 3. Receiving and Displaying Information:

[0434] The tourist spot information sent from the server is received and displayed on the user's screen, using a display such as a smartphone or tablet.

[0435] server

[0436] 1. Receiving location information:

[0437] The server receives the location information sent by the device, which is used to match it with location data stored in the server's database.

[0438] 2. Search for related spots:

[0439] The server uses a generative AI model to search for relevant tourist attractions based on the received location information. This generative AI model can identify historical, subcultural, cultural, and culinary locations.

[0440] 3. Information Generation:

[0441] The server generates detailed information about the searched tourist spot, including its characteristics, history, and reasons for visiting. This information is generated in multiple languages ​​using an AI model.

[0442] 4. Transmission of Information:

[0443] The server then sends the generated tourist spot information to the terminal, allowing the user to obtain related information in real time.

[0444] User

[0445] 1. Launch the app:

[0446] The user starts the guide system application and allows acquisition of location information.

[0447] 2. Verify the information:

[0448] Users can check detailed information about tourist attractions displayed on their devices and select the places they want to visit, giving them the opportunity to learn more about hidden spots and local culture.

[0449] Specific examples

[0450] As a specific example, consider a case where a user is located in Kyoto City. When the user launches the app and allows location information acquisition, the device sends the location information "35.0116, 135.7681" (Kyoto City, Kyoto Prefecture) to the server. The server receives this information and uses the generative AI model to search for related tourist spots such as "Shimogamo Shrine," "Kanra Kyoto Sanjo Branch," and "Kyoto International Manga Museum."

[0451] The server then generates detailed information about these spots in multiple languages ​​and sends it to the user's device. The device receives this information and displays it to the user. Users can check the history of Shimogamo Shrine, the popular menu items at Kanra Kyoto Sanjo, the exhibits at the Kyoto International Manga Museum, and more, and choose places to visit based on their interests.

[0452] In this way, the guide system of the present invention can provide users with information related to not only famous tourist spots, but also hidden spots, local cultures, subcultures, and cuisine, thereby providing a rich travel experience.

[0453] The processing flow will be explained below.

[0454] Step 1:

[0455] The user starts the guide system application.

[0456] Step 2:

[0457] The user allows the device to obtain location information.

[0458] Step 3:

[0459] The device uses the GPS module to obtain location information of the current location.

[0460] Step 4:

[0461] The location information acquired by the device is sent to the server.

[0462] Step 5:

[0463] The server receives the location information transmitted from the terminal.

[0464] Step 6:

[0465] The server uses the generated AI model to search for relevant tourist attractions based on the received location information.

[0466] Step 7:

[0467] The server generates detailed information about the searched tourist spots.

[0468] Step 8:

[0469] The server transmits the generated tourist spot information to the terminal.

[0470] Step 9:

[0471] The terminal receives the tourist spot information transmitted from the server.

[0472] Step 10:

[0473] The tourist spot information received by the device is displayed.

[0474] Step 11:

[0475] The user checks the tourist spot information displayed on the device and selects the places to visit.

[0476] Example 1

[0477] 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."

[0478] The goal of this service is to solve the problem of travelers and tourists being unable to search for relevant places based on their current location and providing multilingual information when obtaining detailed information about the areas they visit in real time.The service also aims to provide a richer experience for travelers by providing information not only on famous tourist spots, but also on hidden gems, local cultures, subcultures, and places related to food.

[0479] 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.

[0480] In this invention, the server includes a location information acquisition means, a communication means for transmitting the acquired location information to the server, a server means having a generative machine learning model for generating related place information based on the user's current location, a communication means for transmitting the generated location information to the terminal, and a display means for displaying the location information received by the terminal, thereby enabling related place information to be provided in multiple languages ​​in real time.

[0481] "Location information acquisition means" refers to a device or software that has the function of identifying the current location of the user's terminal.

[0482] "Communication means" refers to devices or software that have the function of sending and receiving acquired location information and generated information between a server and a terminal.

[0483] A "generative machine learning model" is an artificial intelligence model used to generate relevant place information based on a user's current location, and refers to a program with multilingual support and data analysis capabilities.

[0484] "Server means" refers to a device or system that has a generative machine learning model and a location information matching database, and has the function of searching and generating related information based on the acquired location information and transmitting it to the terminal.

[0485] The "display means" refers to a display or a display screen for visually presenting the location information received by the terminal to the user.

[0486] "Location information" refers to detailed information about tourist attractions, cultural facilities, eating and drinking spots, etc. related to the user's current location, including history, characteristics, photos, and reasons for visiting.

[0487] The present invention relates to a guide system that provides relevant location information based on a user's current location. The system aims to provide users with real-time, multilingual location information by mainly utilizing terminals, servers, communication means between them, and generative machine learning models.

[0488] Terminal

[0489] The device uses a built-in GPS module and communication functions to obtain the user's current location and transmits that information to a server. The device is intended to be a mobile device such as a smartphone or tablet.

[0490] 1. Obtaining location information: The device uses the GPS module to accurately determine the user's current location. To do this, the user must grant permission to obtain location information. Specifically, the application asks the user, "Do you want to allow the app to obtain your current location information?" and the user selects "Allow."

[0491] 2. Send to server: The location information is then sent to the server via your internet connection. This process happens in the background and is not visible to the user.

[0492] 3. Receiving and displaying information: The device receives the tourist spot information sent from the server and displays it on the user's screen. The display content includes the location name, photo, description, etc.

[0493] server

[0494] The server uses a generative machine learning model to generate information about related tourist spots based on the received location information and then sends it back to the device. The server is located in a data center with powerful processing power and compares the user's location information with a large database.

[0495] 1. Receiving location information: The server receives the location information sent from the device and prepares to match it with the database.

[0496] 2. Find related places: Using a generative machine learning model, we search for related tourist attractions based on the received location information. This includes places related to history, subcultures, culture, and food.

[0497] 3. Tourist attraction information generation: Detailed information about the searched tourist attractions is generated. This information includes the characteristics and history of the place, its worth visiting, user reviews, etc. The information is generated in multiple languages.

[0498] 4. Sending tourist attraction information: Send the generated information to the terminal so that the user can receive it in real time.

[0499] User

[0500] Users can receive relevant location-based information in real time through the application and use that information to plan their visits to tourist attractions.

[0501] 1. App launch: The user launches the guide system application and allows location information acquisition, which prepares the device to acquire the current location using the GPS module.

[0502] 2. Check information: Check detailed information about tourist spots displayed on the device and select the places you want to visit. This allows users to learn more about hidden spots and local culture.

[0503] Specific examples

[0504] Consider a case where a user is in a certain city. When the user launches the app and allows location information acquisition, the device sends the location information "35.0116, 135.7681" to the server. The server receives this information and uses a generative machine learning model to search for related tourist spots such as "Sightseeing Spot A," "Sightseeing Spot B," and "Sightseeing Spot C."

[0505] The server generates detailed information about these spots in multiple languages ​​and sends it to the user's device. The device receives this information and displays it to the user. The user can check the history of spot A, the popular menu items at spot B, the exhibits at spot C, and so on, and choose the places to visit based on their interests.

[0506] Prompt Sentence Examples

[0507] "Get your location and search for nearby attractions."

[0508] "Generate tourist spot information based on 35.0116, 135.7681."

[0509] "What are some recommended tourist spots in a certain city?"

[0510] In this way, the guide system can provide users with relevant location information in multiple languages ​​in real time, enriching their travel experience.

[0511] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0512] Step 1: Obtaining location information

[0513] Description: The device uses the GPS module to obtain the user's current location. The user must grant permission to obtain location information.

[0514] Input: Location permission from the user.

[0515] Data processing: The GPS module measures the user's current location (latitude and longitude).

[0516] Output: The location information obtained (e.g. "35.0116, 135.7681").

[0517] Specific behavior: The app on the device asks the user, "Do you want to allow the app to obtain your current location?" If the user selects "Allow," the device displays "Obtaining current location..." and uses GPS to determine the location.

[0518] Step 2: Send location information to the server

[0519] Description: The device sends the acquired location information to a server via an internet connection.

[0520] Input: The location information obtained (e.g. "35.0116, 135.7681").

[0521] Data processing: Convert location information into HTTP request format.

[0522] Output: HTTP request with location information.

[0523] Specific operation: The device sends the location data of "35.0116, 135.7681" to the server, and the screen displays "Sending...".

[0524] Step 3: Receiving location information

[0525] Description: The server receives the location information sent by the device and compares it with the location data stored in the database.

[0526] Input: The location sent from the device (e.g. "35.0116, 135.7681").

[0527] Data processing: Convert the location information into a format that can be matched with location data in the database.

[0528] Output: Locations ready to be matched.

[0529] Specific behavior: The server logs "Location '35.0116, 135.7681' received."

[0530] Step 4: Search for related spots

[0531] Description: The server uses a generative AI model to search for relevant tourist attractions based on the received location information.

[0532] Input: Location information ready to be matched.

[0533] Data processing: Using a generative AI model, we search for related spots.

[0534] Output: A list of related attractions as search results.

[0535] Specific operation: The server updates the processing status to "Searching for related tourist spots based on the received location information..."

[0536] Step 5: Generate tourist spot information

[0537] Description: The server generates detailed information about the tourist attractions you searched for. This information is available in multiple languages.

[0538] Input: A list of relevant attractions.

[0539] Data processing: Using a generative AI model, detailed tourist spot information (descriptions, photos, reviews, etc.) is generated in multiple languages.

[0540] Output: Generated tourist spot information.

[0541] Specific operation: The server generates information such as "historical information about Shimogamo Shrine, in multiple languages," "popular menu items, opening hours, etc."

[0542] Step 6: Submit tourist attraction information

[0543] Description: The generated tourist spot information is sent from the server to the device.

[0544] Input: Generated tourist spot information.

[0545] Data processing: Convert tourist spot information into HTTP response format.

[0546] Output: HTTP response containing tourist spot information.

[0547] Specific operation: The server updates the processing status with "Sending tourist spot information to the terminal..." and, if successful, logs "Sending completed."

[0548] Step 7: Receiving and displaying information

[0549] Description: The terminal receives tourist spot information sent from the server and displays it on the user's display.

[0550] Input: HTTP response containing tourist spot information sent from the server.

[0551] Data processing: Converting received information into a displayable format.

[0552] Output: Tourist attraction information displayed on the user's display.

[0553] Specific operation: The device displays "Information received" and displays the "tourist attraction names, photos, and descriptions" to the user in list format.

[0554] In this way, by linking the terminal, server, and user, the system can provide relevant tourist spot information in real time based on the user's current location.

[0555] (Application example 1)

[0556] 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."

[0557] Conventional tourist guide systems have limited functionality for providing tourist spot information based on the user's current location and lack integration with autonomous vehicles. This makes it difficult for users to obtain real-time tourist spot and gourmet information while driving. There is also a demand for a system that not only displays information visually but also provides audio guidance, allowing drivers to obtain information with peace of mind.

[0558] 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.

[0559] In this invention, the server includes location information acquisition means for identifying the current location of the terminal, communication means for transmitting the acquired location information to the server, means for providing a generative artificial intelligence model for generating relevant tourist spot information based on the user's current location, communication means for transmitting the generated tourist spot information to the terminal, display means for displaying the tourist spot information received by the terminal, voice guidance means for providing guidance on the tourist spot information received by a voice assistant, and means for being integrated into the infotainment system of the autonomous vehicle, thereby enabling the user to obtain tourist spot and gourmet information visually and audibly in real time while driving.

[0560] "Location information acquisition means" refers to a function or device for identifying the current location of a terminal.

[0561] "Communication means" refers to the functions and devices for transmitting acquired location information and generated tourist spot information to a server or terminal.

[0562] "Generative AI model" refers to an AI technology for generating relevant tourist spot information based on a user's current location.

[0563] "Server means" refers to a function or device that has a generative artificial intelligence model, generates tourist spot information based on received location information, and transmits it to a terminal.

[0564] "Display means" refers to a function or device for displaying tourist spot information received by the terminal to the user.

[0565] "Audio guidance means" refers to a function or device for providing audio guidance of the received tourist spot information.

[0566] "Autonomous vehicle infotainment system" refers to a system that integrates information and entertainment functions installed in an autonomous vehicle.

[0567] The present invention provides a guide system that provides information on tourist attractions related to a user's current location, and the system is applied to an infotainment system for an autonomous vehicle. Hereinafter, an embodiment of the present invention will be described in detail.

[0568] Terminal

[0569] 1. Get current location:

[0570] The device uses a GPS module to obtain the user's current location. The GPS system of the device is used as the technology for obtaining this location information.

[0571] 2. Send to server:

[0572] The device sends the acquired location information to a cloud server via an internet connection.

[0573] 3. Receiving and Displaying Information:

[0574] The tourist spot information sent from the server is received and displayed on the terminal's display. The information is also provided by a voice assistant. The display means and voice guidance means are integrated with the vehicle's infotainment system.

[0575] server

[0576] 1. Receiving location information:

[0577] The server receives the location information sent from the device via a REST API.

[0578] 2. Search for related spots:

[0579] The server uses a generative AI model, such as GPT-4, to search for relevant tourist spots based on the received location information. This AI model generates tourist spot information using a prompt sentence as input.

[0580] 3. Information Generation:

[0581] The server generates detailed information about the searched tourist spot, including the tourist spot's name, overview, history, and reasons for visiting. The generated information can be provided in multiple languages.

[0582] 4. Transmission of Information:

[0583] The server then sends the generated tourist spot information to the terminal, allowing the user to obtain related information in real time.

[0584] User

[0585] 1. Launch the app:

[0586] The user starts the guide system application and allows acquisition of location information.

[0587] 2. Verify the information:

[0588] Users can view the received tourist attraction details on their device's display and voice assistant, and then select the places they want to visit, giving them the opportunity to learn more about hidden spots and local culture.

[0589] Specific examples

[0590] As a concrete example, consider a user traveling in a self-driving vehicle within Kyoto City. When the user launches the app and allows location information acquisition, the device sends the location information "35.0116, 135.7681" (Kyoto City, Kyoto Prefecture) to the server. The server receives this information and uses a generative AI model to search for related tourist spots such as "historical shrines," "famous restaurants," and "manga museums." Examples of prompts to specify are as follows:

[0591] The user's current location is "35.0116, 135.7681" (Kyoto City, Kyoto Prefecture). Please suggest three related tourist spots based on this location information.

[0592] The server then generates detailed information about these spots in multiple languages ​​and sends it to the user's device. The device receives this information, displays it on its screen, and uses a voice assistant to guide users. Users can check the history of a historic shrine, recommended menu items at a famous restaurant, or the exhibits at a manga museum, and choose places to visit based on their interests.

[0593] In this way, the guide system of the present invention can provide a rich travel experience even in an autonomous vehicle.

[0594] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0595] Step 1:

[0596] The user launches the guide application in the infotainment system of the autonomous vehicle and allows location information to be acquired. This causes the device to use the GPS module to determine the current location and obtain the current location coordinates (input). Once the location coordinates are acquired, they are sent to the next step (output).

[0597] Step 2:

[0598] The device sends the acquired location coordinates to the server via an Internet connection (input), and the sent location coordinates are received via the server's REST API (output). This prepares the device to use the location information to search for information on related tourist attractions.

[0599] Step 3:

[0600] The server inputs the received location coordinates into a generative AI model. This model generates relevant tourist spot information based on the location coordinates. Specifically, the prompt statement, "The user's current location is '35.0116, 135.7681'. Please suggest three relevant tourist spots based on this location information," is input into the generative AI model (e.g., GPT-4) to generate tourist spot information (output).

[0601] Step 4:

[0602] The tourist spot information generated by the generative AI model is stored on the server and then prepared for transmission to the user's device. The server also has the ability to generate tourist spot information in multiple languages, so it generates information in the language set by the user (input). Multilingual tourist spot information is then generated (output).

[0603] Step 5:

[0604] The server sends the generated tourist spot information to the device. The device then displays detailed information such as the tourist spot's name, overview, and history on the display (input). At the same time, the voice assistant provides audible guidance about the tourist spot information (output). Specifically, the voice guide is launched using the pyttsx3 library.

[0605] Step 6:

[0606] The user can check tourist spot information on the device display and select places to visit. Voice guidance allows the user to receive information while safely driving the vehicle. The final output is when the user selects a spot that interests them.

[0607] Through the above processing steps, the guide system of the present invention provides the user with information on tourist attractions in real time, realizing a rich travel experience in an autonomous vehicle.

[0608] 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.

[0609] The present invention relates to a guide system that provides information on tourist attractions related to a user's current location, and by combining it with an emotion engine, it is possible to provide more personalized tourist attraction information according to the user's emotions. Specific embodiments of this system are described below.

[0610] Terminal

[0611] 1. Get current location:

[0612] The device uses a GPS module to obtain the user's current location, and if the user gives permission, the device can pinpoint the location information accurately.

[0613] 2. Send to server:

[0614] The device transmits the acquired location information to a server using a communication method such as an internet connection or short-range communication.

[0615] 3. User Emotion Recognition:

[0616] The device uses sensors such as a camera and microphone to analyze the user's facial expressions and voice, and recognizes the user's emotions using an emotion engine.

[0617] 4. Receiving and Displaying Information:

[0618] The tourist spot information sent from the server is received and displayed on the user's screen, using a display such as a smartphone or tablet.

[0619] server

[0620] 1. Receiving location information:

[0621] The server receives the location information sent by the device, which is used to match it with location data stored in the server's database.

[0622] 2. Receiving emotion data:

[0623] The server receives the user's emotional data transmitted from the device, allowing the server to understand the user's current emotional state.

[0624] 3. Search for related spots:

[0625] The server uses a generative AI model to search for relevant tourist attractions based on the received location and emotion data. The generative AI model can identify historical, subcultural, cultural, and culinary locations.

[0626] 4. Information Generation:

[0627] The server generates detailed information about the searched tourist spot, including the location's characteristics, history, and reasons for visiting. Using an AI model and emotion engine, this information is generated in multiple languages ​​according to the user's emotions.

[0628] 5. Transmission of Information:

[0629] The server then sends the generated tourist spot information to the terminal, allowing the user to obtain related information in real time.

[0630] User

[0631] 1. Launch the app:

[0632] The user launches the guide system application and allows location information acquisition and emotion recognition.

[0633] 2. Verify the information:

[0634] The user can check the detailed information of tourist spots displayed on the device and select the places to visit, thereby enabling the user to visit tourist spots that suit their current emotional state.

[0635] Specific examples

[0636] As a specific example, consider a case where a user is in Kyoto City. When the user launches the app and allows location information acquisition and emotion recognition, the device sends the location information "35.0116, 135.7681" (Kyoto City, Kyoto Prefecture) along with emotion data indicating the user is "having fun" to the server. The server receives this information and uses a generative AI model and emotion engine to search for related tourist spots such as "Shimogamo Shrine," "Kanra Kyoto Sanjo Branch," and "Kyoto International Manga Museum."

[0637] The server then generates detailed information about these spots in multiple languages ​​and sends the information optimized for the user's emotional state to the device. The device receives this information and displays it to the user. Users can check the history of Shimogamo Shrine, the popular menu items at Kanra Kyoto Sanjo, the exhibits at the Kyoto International Manga Museum, and more, and choose spots to visit that suit their emotions.

[0638] In this way, the guide system of the present invention can provide information related to not only famous tourist spots but also hidden spots, local culture, subcultures, and cuisine based on the user's current location and emotions, thereby providing a rich travel experience.

[0639] The processing flow will be explained below.

[0640] Step 1:

[0641] The user starts the guide system application.

[0642] Step 2:

[0643] The user allows the device to acquire location information and recognize emotions.

[0644] Step 3:

[0645] The device uses the GPS module to obtain location information of the current location.

[0646] Step 4:

[0647] The device uses sensors such as a camera and microphone to recognize the user's emotional state using an emotion engine.

[0648] Step 5:

[0649] The location information and emotion data acquired by the terminal are transmitted to a server.

[0650] Step 6:

[0651] The server receives the location information and emotion data transmitted from the terminal.

[0652] Step 7:

[0653] The server uses the generated AI model to search for relevant tourist attractions based on the received location information.

[0654] Step 8:

[0655] The server uses an emotion engine to change the recommended ranking of tourist spots based on the received emotion data.

[0656] Step 9:

[0657] The server generates detailed information about the searched tourist spots.

[0658] Step 10:

[0659] The server transmits the generated tourist spot information to the terminal.

[0660] Step 11:

[0661] The terminal receives the tourist spot information transmitted from the server.

[0662] Step 12:

[0663] The tourist spot information received by the terminal is displayed on the user's screen.

[0664] Step 13:

[0665] The user checks the tourist spot information displayed on the device and selects the places to visit.

[0666] Example 2

[0667] 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."

[0668] Conventional tourist information systems guide users to tourist spots based on their current location, but lack the ability to provide tourist information based on the user's specific emotional state. This makes it difficult for users to find tourist spots that match their emotions and moods, limiting their travel experience.

[0669] 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.

[0670] In this invention, the server includes emotion recognition means and a means for providing a generative artificial intelligence model for generating relevant tourist spot information based on the user's current location and emotion data, communication means for transmitting the generated tourist spot information to the terminal, and display means for displaying the tourist spot information received by the terminal, thereby making it possible to provide personalized tourist information according to the user's current location and emotional state.

[0671] "Location information acquisition means" refers to the GPS module or location information service that the terminal uses to identify the user's current location.

[0672] "Communication means" refers to an Internet connection or short-range communication technology (e.g., Wi-Fi or mobile data communication) for sending and receiving data between a terminal and a server.

[0673] "Emotion recognition means" refers to algorithms or engines that use sensors such as cameras and microphones to analyze the user's facial expressions and voice and recognize their emotions.

[0674] "Generative AI model" refers to an AI algorithm for generating relevant tourist spot information based on a user's current location and emotion data.

[0675] "Display means" refers to a display or user interface that allows the tourist spot information received by the terminal to be visualized for the user.

[0676] The present invention relates to a guide system that provides relevant tourist spot information based on a user's current location and emotions. The system is composed of a terminal, a server, and a user interface. Specific embodiments of the system are described below.

[0677] Terminal

[0678] 1. Obtaining your current location

[0679] The device uses the GPS module to obtain the user's current location. When the user installs the application and allows location information acquisition, the device calculates the latitude and longitude of the current location. For example, the device's location information service obtains data in the format "35.0116, 135.7681".

[0680] 2. Send to the server

[0681] The device sends the acquired location information to the server using the HTTPS protocol. For example, the device constructs JSON data in the format "{lat: 35.0116, lon: 135.7681}" and sends it to the server.

[0682] 3. User Emotion Recognition

[0683] The device uses sensors such as a camera and microphone to analyze the user's facial expressions and voice. This allows the emotion engine to recognize the user's emotions. Specifically, it extracts the user's facial landmarks from the camera footage in real time and performs voice tone analysis. As a result, emotional data such as "happy," "sad," and "excited" is generated.

[0684] 4. Receiving and Displaying Information

[0685] The device receives tourist spot information sent from the server and displays it on the user's display. The received information includes tourist spot names, descriptions, images, etc., allowing the user to intuitively understand the information.

[0686] server

[0687] 1. Receiving location and emotion data

[0688] The server receives the location information and emotion data sent from the device. When an HTTP POST request arrives, it parses the request body to extract the location information and emotion data and stores them in a backend database.

[0689] 2. Search for related spots

[0690] The server uses the generative AI model to search for relevant tourist spots based on the received location information and emotion data. For example, the server sends the prompt "Please suggest tourist spots for the user who is enjoying themselves at the location 35.0116, 135.7681" to the generative AI model.

[0691] 3. Information Generation

[0692] The server generates detailed information about the tourist spots that were searched for. This information is generated by aggregating multiple data sources, such as the tourist spot's characteristics, history, and user reviews, and is optimized to match the user's emotions using an emotion engine. For example, if a user is recognized as "fun," the server will highlight fun events and activities at that location.

[0693] 4. Transmission of Information

[0694] The server sends the generated tourist spot information to the device, which encodes it in JSON format and returns it to the device using the HTTPS protocol.

[0695] User

[0696] 1. Launch the app

[0697] The user launches the guide system application and grants permission to acquire location information and recognize emotions. When the user launches the app for the first time, a pop-up appears requesting permission to use location services and the camera and microphone, and the user taps the Allow button.

[0698] 2. Verify the information

[0699] Users can check the detailed information of tourist spots displayed on their device and choose the places they want to visit by tapping on the spot they are interested in from the list or map displayed on the app interface, then read more details and make a decision.

[0700] Prompt Sentence Examples

[0701] Here are some examples of prompts used by generative AI models:

[0702] "Location information: 35.0116, 135.7681 Emotion data: Enjoying. Please suggest tourist spots suitable for the user."

[0703] By inputting this prompt sentence into the generative AI model, information on related tourist spots such as "Shimogamo Shrine," "Kanra Kyoto Sanjo Store," and "Kyoto International Manga Museum" is returned.

[0704] The present invention enhances the travel experience of each individual user by providing personalized tourist information in real time according to the user's current location and emotional state.

[0705] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0706] Step 1:

[0707] Get current location

[0708] The device uses the GPS module to obtain the user's current location. As input, the device asks the user to allow location information to be provided within the application. Based on this, the device's location information service receives signals from GPS satellites and calculates latitude and longitude data. Specifically, it calls the location information service API to obtain latitude and longitude data in the format "35.0116, 135.7681."

[0709] Step 2:

[0710] Sending to the server

[0711] The device sends the location information it has acquired to the server. As input, the device has the acquired latitude and longitude data (e.g., "35.0116, 135.7681"). This data is sent to the server using the HTTPS protocol. Specifically, the device constructs data in JSON format and sends an HTTP POST request to the specified endpoint on the server. The output is the location information sent to the server.

[0712] Step 3:

[0713] User Emotion Recognition

[0714] The device uses a camera and microphone to analyze the user's facial expressions and voice to recognize emotions. The device receives camera footage and audio data as input. Based on this, the internal emotion engine extracts the user's facial landmarks in real time and analyzes the tone of their voice. Specifically, it runs an emotion analysis algorithm to generate emotion data such as "happy," "sad," or "excited." The output is the user's emotion data.

[0715] Step 4:

[0716] Sending emotional data

[0717] The device sends the recognized emotion data to the server. As input, the device has the user's emotion data (e.g., "fun"). This is sent to the server along with location data using the HTTPS protocol. Specifically, the device encodes the emotion data into JSON format and sends an HTTP POST request. The output is the emotion data sent to the server.

[0718] Step 5:

[0719] Receiving location and emotion data

[0720] The server receives the location information and emotion data sent from the device. As input, the server receives the data included in the HTTP POST request. Based on this, it parses the request body to extract the location information and emotion data. Specifically, it saves the location information and emotion data in a backend database. The output is the location information and emotion data stored in the database.

[0721] Step 6:

[0722] Search for related spots

[0723] The server uses the generative AI model to search for relevant tourist attractions based on location information and emotion data. As input, the server has location information and emotion data stored in a database. Based on this, it sends a prompt to the generative AI model. Specifically, the server inputs a prompt such as "Please suggest tourist attractions for the user who is enjoying themselves at the location 35.0116, 135.7681" into the generative AI model. The output is a list of relevant tourist attractions.

[0724] Step 7:

[0725] Information generation

[0726] The server generates detailed information about related tourist spots. As input, the server has a list of tourist spots obtained from the generative AI model. Based on this, it aggregates data such as the tourist spot's characteristics, history, and user reviews, and uses an emotion engine to optimize the expression to match the user's emotions. Specifically, it generates multilingual information and highlights fun events and activity information according to the "fun" keyword. The output is detailed tourist spot information.

[0727] Step 8:

[0728] Sending information

[0729] The server generates tourist spot information and sends it to the terminal. As input, the server has detailed tourist spot information. It encodes this information into JSON format and sends it to the terminal using the HTTPS protocol. Specifically, the server sends the generated information as an HTTP response. The output is the tourist spot information sent to the terminal.

[0730] Step 9:

[0731] Receiving and displaying information

[0732] The device displays tourist spot information received from the server to the user. As input, the device has an HTTP response containing tourist spot information. Based on this, the information is displayed in the application's UI component. Specifically, the name, description, image, etc. of the tourist spot are displayed in the user interface. The user checks this and selects the place to visit. The output is the tourist spot information displayed to the user.

[0733] (Application example 2)

[0734] 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."

[0735] Conventional tourist spot information systems mainly provide information based on the user's current location and do not provide personalized information that takes into account the user's emotional state. Furthermore, because the field is limited to tourism, it is difficult to respond to the diverse needs of users. Furthermore, the information provided is often limited to one language, which can be inconvenient for tourists.

[0736] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0737] In this invention, the server includes means for providing a generative artificial intelligence model for generating relevant spot information based on the user's current location and emotional state, means for identifying spots related to food, drink, entertainment, and culture, and means for generating spot information in multiple languages, thereby enabling provision of personalized multilingual information related to food, drink, entertainment, and culture according to each user's emotional state.

[0738] "Location information acquisition means" refers to a means for identifying the current location of a terminal using a GPS module or the like.

[0739] "Communication means" refers to means such as an internet connection or short-range communication for transmitting acquired location information and other data to a server.

[0740] "User's emotional state" refers to emotional data based on the user's facial expressions and voice, which are analyzed using sensors such as a camera and microphone.

[0741] A "generative artificial intelligence model" is an AI model for generating relevant spot information based on a user's current location and emotional state.

[0742] "Server means" refers to a server for receiving and processing data relating to the user's location and emotional state.

[0743] "Spot information" is detailed information about places related to eating and drinking, entertainment, culture, etc.

[0744] The "display means" refers to a display or screen for visually presenting the spot information received by the terminal to the user.

[0745] "Spots related to food, drink, entertainment, and culture" are places that meet a variety of user needs, such as restaurants, cafes, tourist attractions, and entertainment facilities.

[0746] "Generating spot information in multiple languages" is a function that provides information to users in multiple languages.

[0747] The present invention relates to a system for providing optimal spot information based on a user's current location and emotional state. Specific embodiments will be described below.

[0748] System Configuration

[0749] This system is composed of a user's terminal, a server, and a generative AI model. The main components are as follows:

[0750] 1. Terminal

[0751] Location information acquisition means: The GPS module is used to identify the user's current location.

[0752] Communication means: Includes an internet connection and short-range communication means for transmitting acquired location information to a server.

[0753] User emotion recognition means: Analyzes user emotions using sensors such as cameras and microphones.

[0754] Display means: Equipped with a display for displaying spot information transmitted from the server.

[0755] 2. Server

[0756] Data receiving means: Receives location information and emotion data sent from the terminal.

[0757] Generative artificial intelligence model: Generates spot information based on received data.

[0758] Communication method: Sends the generated spot information to the terminal.

[0759] Program processing

[0760] The system uses Python as the primary programming language and involves the following libraries and APIs:

[0761] geopy: Supports location retrieval.

[0762] OpenAI API: Uses generative AI models to generate spot information based on the user's location and emotional state.

[0763] DeepFace: A deep learning model for emotion recognition.

[0764] Tkinter: A framework for GUI display.

[0765] Hardware Details

[0766] Smartphone: Equipped with a GPS module, camera, microphone, and display.

[0767] Server: Equipped with highly efficient processing units to ensure performance.

[0768] Specific examples of processing

[0769] For example, consider a situation where a user is in a city center and their emotional state is recognized as "having fun." Below is an example of a prompt sentence that can be input to the generative AI model:

[0770] Examples of prompt statements

[0771] Suggest the best restaurant when the user's current location is latitude 35.6895, longitude 139.6917 and emotional state is enjoying.

[0772] Based on these prompts, the generative AI model generates information on dining, entertainment, and cultural spots that are suitable for the user. This information is sent from the server to the device and displayed on the user's smartphone screen. This allows the user to receive suggestions for the best places and activities to take based on their emotional state, providing a more personalized experience.

[0773] Usage example

[0774] When a user launches the app, their location information is automatically acquired, and emotion recognition is performed using the camera and microphone. Below is an example of how the system works.

[0775] 1. Location information acquisition:

[0776] Use GPS to determine the user's current location, for example, latitude 35.6895, longitude 139.6917.

[0777] 2. Emotion recognition:

[0778] If the user is having fun, it is determined that the user is "having fun" by analyzing their smile and voice.

[0779] 3. Spot search and prompt generation:

[0780] Generate the above prompt sentence and input it into the generative AI model.

[0781] 4. Information Generation and Display:

[0782] Information on suggested restaurants and entertainment facilities is generated and sent to and displayed on the user's device.

[0783] This allows users to quickly find the best place for their emotional state.

[0784] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0785] Step 1:

[0786] The device obtains the user's current location. Specifically, it obtains latitude and longitude information using the device's GPS module. This input data is the user's current location, and is saved in an internal temporary file for use in the next step. The output is location information (latitude and longitude).

[0787] Step 2:

[0788] The device sends the acquired location information to the server. The device sends the location data to the server via a communication means. Specifically, the device sends the location information to a specific API endpoint on the server via an internet connection. The input is the location information, and the output is the location information sent to the server.

[0789] Step 3:

[0790] The device recognizes the user's emotional state. It uses a camera and microphone to capture the user's facial expressions and voice and then performs emotion analysis. Specific examples include facial expression analysis of facial images and voice tone analysis using deep learning. The input is the user's facial image and voice data, and the output is recognized emotion data.

[0791] Step 4:

[0792] The device sends the recognized emotion data to the server. The device then sends the emotion data to the server via a communication method. Specifically, the device sends the data to the server's API endpoint via an internet connection, just like when sending location information. The input is emotion data, and the output is the emotion data sent to the server.

[0793] Step 5:

[0794] The server processes the received location information and emotion data and inputs it into the generative AI model. The server analyzes the received data to generate a prompt sentence, which is then input into the generative AI model. A specific prompt sentence might be in the form of "When the user's current location is latitude XX.XXXX, longitude XX.XXXX, and their emotional state is XXX, please suggest the best restaurant." The input is location information and emotion data, and the output is input to the AI ​​model using the prompt sentence.

[0795] Step 6:

[0796] A generative AI model generates the best spot information for the user. The generative AI model generates spot information based on the input prompt. For example, it can suggest restaurants or entertainment venues based on a specific location and emotional state. The input is the prompt, and the output is the generated spot information.

[0797] Step 7:

[0798] The server sends the generated spot information to the terminal. The server then sends the generated spot information to the terminal via a communication means. Specifically, data is communicated using an API endpoint. The input is the generated spot information, and the output is the data sent to the terminal.

[0799] Step 8:

[0800] The terminal displays the received spot information. The terminal displays the received data on a display. Specifically, information such as the spot name, address, and rating is displayed on the user interface. Navigation links and phone numbers may also be displayed. The input is the spot information received from the server, and the output is a display that the user can visually confirm.

[0801] 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.

[0802] 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.

[0803] 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.

[0804] [Third embodiment]

[0805] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0806] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0807] 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).

[0808] 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.

[0809] 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.

[0810] 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).

[0811] 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.

[0812] 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.

[0813] 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.

[0814] 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.

[0815] 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.

[0816] 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."

[0817] The present invention relates to a guide system that provides information on tourist attractions related to a user's current location. Specific embodiments of the system will be described below.

[0818] Terminal

[0819] 1. Get current location:

[0820] The device uses a GPS module to obtain the user's current location, and if the user gives permission, the device can pinpoint the location information accurately.

[0821] 2. Send to server:

[0822] The device transmits the acquired location information to a server using a communication method such as an internet connection or short-range communication.

[0823] 3. Receiving and Displaying Information:

[0824] The tourist spot information sent from the server is received and displayed on the user's screen, using a display such as a smartphone or tablet.

[0825] server

[0826] 1. Receiving location information:

[0827] The server receives the location information sent by the device, which is used to match it with location data stored in the server's database.

[0828] 2. Search for related spots:

[0829] The server uses a generative AI model to search for relevant tourist attractions based on the received location information. This generative AI model can identify historical, subcultural, cultural, and culinary locations.

[0830] 3. Information Generation:

[0831] The server generates detailed information about the searched tourist spot, including its characteristics, history, and reasons for visiting. This information is generated in multiple languages ​​using an AI model.

[0832] 4. Transmission of Information:

[0833] The server then sends the generated tourist spot information to the terminal, allowing the user to obtain related information in real time.

[0834] User

[0835] 1. Launch the app:

[0836] The user starts the guide system application and allows acquisition of location information.

[0837] 2. Verify the information:

[0838] Users can check detailed information about tourist attractions displayed on their devices and select the places they want to visit, giving them the opportunity to learn more about hidden spots and local culture.

[0839] Specific examples

[0840] As a specific example, consider a case where a user is located in Kyoto City. When the user launches the app and allows location information acquisition, the device sends the location information "35.0116, 135.7681" (Kyoto City, Kyoto Prefecture) to the server. The server receives this information and uses the generative AI model to search for related tourist spots such as "Shimogamo Shrine," "Kanra Kyoto Sanjo Branch," and "Kyoto International Manga Museum."

[0841] The server then generates detailed information about these spots in multiple languages ​​and sends it to the user's device. The device receives this information and displays it to the user. Users can check the history of Shimogamo Shrine, the popular menu items at Kanra Kyoto Sanjo, the exhibits at the Kyoto International Manga Museum, and more, and choose places to visit based on their interests.

[0842] In this way, the guide system of the present invention can provide users with information related to not only famous tourist spots, but also hidden spots, local cultures, subcultures, and cuisine, thereby providing a rich travel experience.

[0843] The processing flow will be explained below.

[0844] Step 1:

[0845] The user starts the guide system application.

[0846] Step 2:

[0847] The user allows the device to obtain location information.

[0848] Step 3:

[0849] The device uses the GPS module to obtain location information of the current location.

[0850] Step 4:

[0851] The location information acquired by the device is sent to the server.

[0852] Step 5:

[0853] The server receives the location information transmitted from the terminal.

[0854] Step 6:

[0855] The server uses the generated AI model to search for relevant tourist attractions based on the received location information.

[0856] Step 7:

[0857] The server generates detailed information about the searched tourist spots.

[0858] Step 8:

[0859] The server transmits the generated tourist spot information to the terminal.

[0860] Step 9:

[0861] The terminal receives the tourist spot information transmitted from the server.

[0862] Step 10:

[0863] The tourist spot information received by the device is displayed.

[0864] Step 11:

[0865] The user checks the tourist spot information displayed on the device and selects the places to visit.

[0866] Example 1

[0867] 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."

[0868] The goal of this service is to solve the problem of travelers and tourists being unable to search for relevant places based on their current location and providing multilingual information when obtaining detailed information about the areas they visit in real time.The service also aims to provide a richer experience for travelers by providing information not only on famous tourist spots, but also on hidden gems, local cultures, subcultures, and places related to food.

[0869] 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.

[0870] In this invention, the server includes a location information acquisition means, a communication means for transmitting the acquired location information to the server, a server means having a generative machine learning model for generating related place information based on the user's current location, a communication means for transmitting the generated location information to the terminal, and a display means for displaying the location information received by the terminal, thereby enabling related place information to be provided in multiple languages ​​in real time.

[0871] "Location information acquisition means" refers to a device or software that has the function of identifying the current location of the user's terminal.

[0872] "Communication means" refers to devices or software that have the function of sending and receiving acquired location information and generated information between a server and a terminal.

[0873] A "generative machine learning model" is an artificial intelligence model used to generate relevant place information based on a user's current location, and refers to a program with multilingual support and data analysis capabilities.

[0874] "Server means" refers to a device or system that has a generative machine learning model and a location information matching database, and has the function of searching and generating related information based on the acquired location information and transmitting it to the terminal.

[0875] The "display means" refers to a display or a display screen for visually presenting the location information received by the terminal to the user.

[0876] "Location information" refers to detailed information about tourist attractions, cultural facilities, eating and drinking spots, etc. related to the user's current location, including history, characteristics, photos, and reasons for visiting.

[0877] The present invention relates to a guide system that provides relevant location information based on a user's current location. The system aims to provide users with real-time, multilingual location information by mainly utilizing terminals, servers, communication means between them, and generative machine learning models.

[0878] Terminal

[0879] The device uses a built-in GPS module and communication functions to obtain the user's current location and transmits that information to a server. The device is intended to be a mobile device such as a smartphone or tablet.

[0880] 1. Obtaining location information: The device uses the GPS module to accurately determine the user's current location. To do this, the user must grant permission to obtain location information. Specifically, the application asks the user, "Do you want to allow the app to obtain your current location information?" and the user selects "Allow."

[0881] 2. Send to server: The location information is then sent to the server via your internet connection. This process happens in the background and is not visible to the user.

[0882] 3. Receiving and displaying information: The device receives the tourist spot information sent from the server and displays it on the user's screen. The display content includes the location name, photo, description, etc.

[0883] server

[0884] The server uses a generative machine learning model to generate information about related tourist spots based on the received location information and then sends it back to the device. The server is located in a data center with powerful processing power and compares the user's location information with a large database.

[0885] 1. Receiving location information: The server receives the location information sent from the device and prepares to match it with the database.

[0886] 2. Find related places: Using a generative machine learning model, we search for related tourist attractions based on the received location information. This includes places related to history, subcultures, culture, and food.

[0887] 3. Tourist attraction information generation: Detailed information about the searched tourist attractions is generated. This information includes the characteristics and history of the place, its worth visiting, user reviews, etc. The information is generated in multiple languages.

[0888] 4. Sending tourist attraction information: Send the generated information to the terminal so that the user can receive it in real time.

[0889] User

[0890] Users can receive relevant location-based information in real time through the application and use that information to plan their visits to tourist attractions.

[0891] 1. App launch: The user launches the guide system application and allows location information acquisition, which prepares the device to acquire the current location using the GPS module.

[0892] 2. Check information: Check detailed information about tourist spots displayed on the device and select the places you want to visit. This allows users to learn more about hidden spots and local culture.

[0893] Specific examples

[0894] Consider a case where a user is in a certain city. When the user launches the app and allows location information acquisition, the device sends the location information "35.0116, 135.7681" to the server. The server receives this information and uses a generative machine learning model to search for related tourist spots such as "Sightseeing Spot A," "Sightseeing Spot B," and "Sightseeing Spot C."

[0895] The server generates detailed information about these spots in multiple languages ​​and sends it to the user's device. The device receives this information and displays it to the user. The user can check the history of spot A, the popular menu items at spot B, the exhibits at spot C, and so on, and choose the places to visit based on their interests.

[0896] Prompt Sentence Examples

[0897] "Get your location and search for nearby attractions."

[0898] "Generate tourist spot information based on 35.0116, 135.7681."

[0899] "What are some recommended tourist spots in a certain city?"

[0900] In this way, the guide system can provide users with relevant location information in multiple languages ​​in real time, enriching their travel experience.

[0901] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0902] Step 1: Obtaining location information

[0903] Description: The device uses the GPS module to obtain the user's current location. The user must grant permission to obtain location information.

[0904] Input: Location permission from the user.

[0905] Data processing: The GPS module measures the user's current location (latitude and longitude).

[0906] Output: The location information obtained (e.g. "35.0116, 135.7681").

[0907] Specific behavior: The app on the device asks the user, "Do you want to allow the app to obtain your current location?" If the user selects "Allow," the device displays "Obtaining current location..." and uses GPS to determine the location.

[0908] Step 2: Send location information to the server

[0909] Description: The device sends the acquired location information to a server via an internet connection.

[0910] Input: The location information obtained (e.g. "35.0116, 135.7681").

[0911] Data processing: Convert location information into HTTP request format.

[0912] Output: HTTP request with location information.

[0913] Specific operation: The device sends the location data of "35.0116, 135.7681" to the server, and the screen displays "Sending...".

[0914] Step 3: Receiving location information

[0915] Description: The server receives the location information sent by the device and compares it with the location data stored in the database.

[0916] Input: The location sent from the device (e.g. "35.0116, 135.7681").

[0917] Data processing: Convert the location information into a format that can be matched with location data in the database.

[0918] Output: Locations ready to be matched.

[0919] Specific behavior: The server logs "Location '35.0116, 135.7681' received."

[0920] Step 4: Search for related spots

[0921] Description: The server uses a generative AI model to search for relevant tourist attractions based on the received location information.

[0922] Input: Location information ready to be matched.

[0923] Data processing: Using a generative AI model, we search for related spots.

[0924] Output: A list of related attractions as search results.

[0925] Specific operation: The server updates the processing status to "Searching for related tourist spots based on the received location information..."

[0926] Step 5: Generate tourist spot information

[0927] Description: The server generates detailed information about the tourist attractions you searched for. This information is available in multiple languages.

[0928] Input: A list of relevant attractions.

[0929] Data processing: Using a generative AI model, detailed tourist spot information (descriptions, photos, reviews, etc.) is generated in multiple languages.

[0930] Output: Generated tourist spot information.

[0931] Specific operation: The server generates information such as "historical information about Shimogamo Shrine, in multiple languages," "popular menu items, opening hours, etc."

[0932] Step 6: Submit tourist attraction information

[0933] Description: The generated tourist spot information is sent from the server to the device.

[0934] Input: Generated tourist spot information.

[0935] Data processing: Convert tourist spot information into HTTP response format.

[0936] Output: HTTP response containing tourist spot information.

[0937] Specific operation: The server updates the processing status with "Sending tourist spot information to the terminal..." and, if successful, logs "Sending completed."

[0938] Step 7: Receiving and displaying information

[0939] Description: The terminal receives tourist spot information sent from the server and displays it on the user's display.

[0940] Input: HTTP response containing tourist spot information sent from the server.

[0941] Data processing: Converting received information into a displayable format.

[0942] Output: Tourist attraction information displayed on the user's display.

[0943] Specific operation: The device displays "Information received" and displays the "tourist attraction names, photos, and descriptions" to the user in list format.

[0944] In this way, by linking the terminal, server, and user, the system can provide relevant tourist spot information in real time based on the user's current location.

[0945] (Application example 1)

[0946] 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."

[0947] Conventional tourist guide systems have limited functionality for providing tourist spot information based on the user's current location and lack integration with autonomous vehicles. This makes it difficult for users to obtain real-time tourist spot and gourmet information while driving. There is also a demand for a system that not only displays information visually but also provides audio guidance, allowing drivers to obtain information with peace of mind.

[0948] 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.

[0949] In this invention, the server includes location information acquisition means for identifying the current location of the terminal, communication means for transmitting the acquired location information to the server, means for providing a generative artificial intelligence model for generating relevant tourist spot information based on the user's current location, communication means for transmitting the generated tourist spot information to the terminal, display means for displaying the tourist spot information received by the terminal, voice guidance means for providing guidance on the tourist spot information received by a voice assistant, and means for being integrated into the infotainment system of the autonomous vehicle, thereby enabling the user to obtain tourist spot and gourmet information visually and audibly in real time while driving.

[0950] "Location information acquisition means" refers to a function or device for identifying the current location of a terminal.

[0951] "Communication means" refers to the functions and devices for transmitting acquired location information and generated tourist spot information to a server or terminal.

[0952] "Generative AI model" refers to an AI technology for generating relevant tourist spot information based on a user's current location.

[0953] "Server means" refers to a function or device that has a generative artificial intelligence model, generates tourist spot information based on received location information, and transmits it to a terminal.

[0954] "Display means" refers to a function or device for displaying tourist spot information received by the terminal to the user.

[0955] "Audio guidance means" refers to a function or device for providing audio guidance of the received tourist spot information.

[0956] "Autonomous vehicle infotainment system" refers to a system that integrates information and entertainment functions installed in an autonomous vehicle.

[0957] The present invention provides a guide system that provides information on tourist attractions related to a user's current location, and the system is applied to an infotainment system for an autonomous vehicle. Hereinafter, an embodiment of the present invention will be described in detail.

[0958] Terminal

[0959] 1. Get current location:

[0960] The device uses a GPS module to obtain the user's current location. The GPS system of the device is used as the technology for obtaining this location information.

[0961] 2. Send to server:

[0962] The device sends the acquired location information to a cloud server via an internet connection.

[0963] 3. Receiving and Displaying Information:

[0964] The tourist spot information sent from the server is received and displayed on the terminal's display. The information is also provided by a voice assistant. The display means and voice guidance means are integrated with the vehicle's infotainment system.

[0965] server

[0966] 1. Receiving location information:

[0967] The server receives the location information sent from the device via a REST API.

[0968] 2. Search for related spots:

[0969] The server uses a generative AI model, such as GPT-4, to search for relevant tourist spots based on the received location information. This AI model generates tourist spot information using a prompt sentence as input.

[0970] 3. Information Generation:

[0971] The server generates detailed information about the searched tourist spot, including the tourist spot's name, overview, history, and reasons for visiting. The generated information can be provided in multiple languages.

[0972] 4. Transmission of Information:

[0973] The server then sends the generated tourist spot information to the terminal, allowing the user to obtain related information in real time.

[0974] User

[0975] 1. Launch the app:

[0976] The user starts the guide system application and allows acquisition of location information.

[0977] 2. Verify the information:

[0978] Users can view the received tourist attraction details on their device's display and voice assistant, and then select the places they want to visit, giving them the opportunity to learn more about hidden spots and local culture.

[0979] Specific examples

[0980] As a concrete example, consider a user traveling in a self-driving vehicle within Kyoto City. When the user launches the app and allows location information acquisition, the device sends the location information "35.0116, 135.7681" (Kyoto City, Kyoto Prefecture) to the server. The server receives this information and uses a generative AI model to search for related tourist spots such as "historical shrines," "famous restaurants," and "manga museums." Examples of prompts to specify are as follows:

[0981] The user's current location is "35.0116, 135.7681" (Kyoto City, Kyoto Prefecture). Please suggest three related tourist spots based on this location information.

[0982] The server then generates detailed information about these spots in multiple languages ​​and sends it to the user's device. The device receives this information, displays it on its screen, and uses a voice assistant to guide users. Users can check the history of a historic shrine, recommended menu items at a famous restaurant, or the exhibits at a manga museum, and choose places to visit based on their interests.

[0983] In this way, the guide system of the present invention can provide a rich travel experience even in an autonomous vehicle.

[0984] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0985] Step 1:

[0986] The user launches the guide application in the infotainment system of the autonomous vehicle and allows location information to be acquired. This causes the device to use the GPS module to determine the current location and obtain the current location coordinates (input). Once the location coordinates are acquired, they are sent to the next step (output).

[0987] Step 2:

[0988] The device sends the acquired location coordinates to the server via an Internet connection (input), and the sent location coordinates are received via the server's REST API (output). This prepares the device to use the location information to search for information on related tourist attractions.

[0989] Step 3:

[0990] The server inputs the received location coordinates into a generative AI model. This model generates relevant tourist spot information based on the location coordinates. Specifically, the prompt statement, "The user's current location is '35.0116, 135.7681'. Please suggest three relevant tourist spots based on this location information," is input into the generative AI model (e.g., GPT-4) to generate tourist spot information (output).

[0991] Step 4:

[0992] The tourist spot information generated by the generative AI model is stored on the server and then prepared for transmission to the user's device. The server also has the ability to generate tourist spot information in multiple languages, so it generates information in the language set by the user (input). Multilingual tourist spot information is then generated (output).

[0993] Step 5:

[0994] The server sends the generated tourist spot information to the device. The device then displays detailed information such as the tourist spot's name, overview, and history on the display (input). At the same time, the voice assistant provides audible guidance about the tourist spot information (output). Specifically, the voice guide is launched using the pyttsx3 library.

[0995] Step 6:

[0996] The user can check tourist spot information on the device display and select places to visit. Voice guidance allows the user to receive information while safely driving the vehicle. The final output is when the user selects a spot that interests them.

[0997] Through the above processing steps, the guide system of the present invention provides the user with information on tourist attractions in real time, realizing a rich travel experience in an autonomous vehicle.

[0998] 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.

[0999] The present invention relates to a guide system that provides information on tourist attractions related to a user's current location, and by combining it with an emotion engine, it is possible to provide more personalized tourist attraction information according to the user's emotions. Specific embodiments of this system are described below.

[1000] Terminal

[1001] 1. Get current location:

[1002] The device uses a GPS module to obtain the user's current location, and if the user gives permission, the device can pinpoint the location information accurately.

[1003] 2. Send to server:

[1004] The device transmits the acquired location information to a server using a communication method such as an internet connection or short-range communication.

[1005] 3. User Emotion Recognition:

[1006] The device uses sensors such as a camera and microphone to analyze the user's facial expressions and voice, and recognizes the user's emotions using an emotion engine.

[1007] 4. Receiving and Displaying Information:

[1008] The tourist spot information sent from the server is received and displayed on the user's screen, using a display such as a smartphone or tablet.

[1009] server

[1010] 1. Receiving location information:

[1011] The server receives the location information sent by the device, which is used to match it with location data stored in the server's database.

[1012] 2. Receiving emotion data:

[1013] The server receives the user's emotional data transmitted from the device, allowing the server to understand the user's current emotional state.

[1014] 3. Search for related spots:

[1015] The server uses a generative AI model to search for relevant tourist attractions based on the received location and emotion data. The generative AI model can identify historical, subcultural, cultural, and culinary locations.

[1016] 4. Information Generation:

[1017] The server generates detailed information about the searched tourist spot, including the location's characteristics, history, and reasons for visiting. Using an AI model and emotion engine, this information is generated in multiple languages ​​according to the user's emotions.

[1018] 5. Transmission of Information:

[1019] The server then sends the generated tourist spot information to the terminal, allowing the user to obtain related information in real time.

[1020] User

[1021] 1. Launch the app:

[1022] The user launches the guide system application and allows location information acquisition and emotion recognition.

[1023] 2. Verify the information:

[1024] The user can check the detailed information of tourist spots displayed on the device and select the places to visit, thereby enabling the user to visit tourist spots that suit their current emotional state.

[1025] Specific examples

[1026] As a specific example, consider a case where a user is in Kyoto City. When the user launches the app and allows location information acquisition and emotion recognition, the device sends the location information "35.0116, 135.7681" (Kyoto City, Kyoto Prefecture) along with emotion data indicating the user is "having fun" to the server. The server receives this information and uses a generative AI model and emotion engine to search for related tourist spots such as "Shimogamo Shrine," "Kanra Kyoto Sanjo Branch," and "Kyoto International Manga Museum."

[1027] The server then generates detailed information about these spots in multiple languages ​​and sends the information optimized for the user's emotional state to the device. The device receives this information and displays it to the user. Users can check the history of Shimogamo Shrine, the popular menu items at Kanra Kyoto Sanjo, the exhibits at the Kyoto International Manga Museum, and more, and choose spots to visit that suit their emotions.

[1028] In this way, the guide system of the present invention can provide information related to not only famous tourist spots but also hidden spots, local culture, subcultures, and cuisine based on the user's current location and emotions, thereby providing a rich travel experience.

[1029] The processing flow will be explained below.

[1030] Step 1:

[1031] The user starts the guide system application.

[1032] Step 2:

[1033] The user allows the device to acquire location information and recognize emotions.

[1034] Step 3:

[1035] The device uses the GPS module to obtain location information of the current location.

[1036] Step 4:

[1037] The device uses sensors such as a camera and microphone to recognize the user's emotional state using an emotion engine.

[1038] Step 5:

[1039] The location information and emotion data acquired by the terminal are transmitted to a server.

[1040] Step 6:

[1041] The server receives the location information and emotion data transmitted from the terminal.

[1042] Step 7:

[1043] The server uses the generated AI model to search for relevant tourist attractions based on the received location information.

[1044] Step 8:

[1045] The server uses an emotion engine to change the recommended ranking of tourist spots based on the received emotion data.

[1046] Step 9:

[1047] The server generates detailed information about the searched tourist spots.

[1048] Step 10:

[1049] The server transmits the generated tourist spot information to the terminal.

[1050] Step 11:

[1051] The terminal receives the tourist spot information transmitted from the server.

[1052] Step 12:

[1053] The tourist spot information received by the terminal is displayed on the user's screen.

[1054] Step 13:

[1055] The user checks the tourist spot information displayed on the device and selects the places to visit.

[1056] Example 2

[1057] 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."

[1058] Conventional tourist information systems guide users to tourist spots based on their current location, but lack the ability to provide tourist information based on the user's specific emotional state. This makes it difficult for users to find tourist spots that match their emotions and moods, limiting their travel experience.

[1059] 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.

[1060] In this invention, the server includes emotion recognition means and a means for providing a generative artificial intelligence model for generating relevant tourist spot information based on the user's current location and emotion data, communication means for transmitting the generated tourist spot information to the terminal, and display means for displaying the tourist spot information received by the terminal, thereby making it possible to provide personalized tourist information according to the user's current location and emotional state.

[1061] "Location information acquisition means" refers to the GPS module or location information service that the terminal uses to identify the user's current location.

[1062] "Communication means" refers to an Internet connection or short-range communication technology (e.g., Wi-Fi or mobile data communication) for sending and receiving data between a terminal and a server.

[1063] "Emotion recognition means" refers to algorithms or engines that use sensors such as cameras and microphones to analyze the user's facial expressions and voice and recognize their emotions.

[1064] "Generative AI model" refers to an AI algorithm for generating relevant tourist spot information based on a user's current location and emotion data.

[1065] "Display means" refers to a display or user interface that allows the tourist spot information received by the terminal to be visualized for the user.

[1066] The present invention relates to a guide system that provides relevant tourist spot information based on a user's current location and emotions. The system is composed of a terminal, a server, and a user interface. Specific embodiments of the system are described below.

[1067] Terminal

[1068] 1. Obtaining your current location

[1069] The device uses the GPS module to obtain the user's current location. When the user installs the application and allows location information acquisition, the device calculates the latitude and longitude of the current location. For example, the device's location information service obtains data in the format "35.0116, 135.7681".

[1070] 2. Send to the server

[1071] The device sends the acquired location information to the server using the HTTPS protocol. For example, the device constructs JSON data in the format "{lat: 35.0116, lon: 135.7681}" and sends it to the server.

[1072] 3. User Emotion Recognition

[1073] The device uses sensors such as a camera and microphone to analyze the user's facial expressions and voice. This allows the emotion engine to recognize the user's emotions. Specifically, it extracts the user's facial landmarks from the camera footage in real time and performs voice tone analysis. As a result, emotional data such as "happy," "sad," and "excited" is generated.

[1074] 4. Receiving and Displaying Information

[1075] The device receives tourist spot information sent from the server and displays it on the user's display. The received information includes tourist spot names, descriptions, images, etc., allowing the user to intuitively understand the information.

[1076] server

[1077] 1. Receiving location and emotion data

[1078] The server receives the location information and emotion data sent from the device. When an HTTP POST request arrives, it parses the request body to extract the location information and emotion data and stores them in a backend database.

[1079] 2. Search for related spots

[1080] The server uses the generative AI model to search for relevant tourist spots based on the received location information and emotion data. For example, the server sends the prompt "Please suggest tourist spots for the user who is enjoying themselves at the location 35.0116, 135.7681" to the generative AI model.

[1081] 3. Information Generation

[1082] The server generates detailed information about the tourist spots that were searched for. This information is generated by aggregating multiple data sources, such as the tourist spot's characteristics, history, and user reviews, and is optimized to match the user's emotions using an emotion engine. For example, if a user is recognized as "fun," the server will highlight fun events and activities at that location.

[1083] 4. Transmission of Information

[1084] The server sends the generated tourist spot information to the device, which encodes it in JSON format and returns it to the device using the HTTPS protocol.

[1085] User

[1086] 1. Launch the app

[1087] The user launches the guide system application and grants permission to acquire location information and recognize emotions. When the user launches the app for the first time, a pop-up appears requesting permission to use location services and the camera and microphone, and the user taps the Allow button.

[1088] 2. Verify the information

[1089] Users can check the detailed information of tourist spots displayed on their device and choose the places they want to visit by tapping on the spot they are interested in from the list or map displayed on the app interface, then read more details and make a decision.

[1090] Prompt Sentence Examples

[1091] Here are some examples of prompts used by generative AI models:

[1092] "Location information: 35.0116, 135.7681 Emotion data: Enjoying. Please suggest tourist spots suitable for the user."

[1093] By inputting this prompt sentence into the generative AI model, information on related tourist spots such as "Shimogamo Shrine," "Kanra Kyoto Sanjo Store," and "Kyoto International Manga Museum" is returned.

[1094] The present invention enhances the travel experience of each individual user by providing personalized tourist information in real time according to the user's current location and emotional state.

[1095] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1096] Step 1:

[1097] Get current location

[1098] The device uses the GPS module to obtain the user's current location. As input, the device asks the user to allow location information to be provided within the application. Based on this, the device's location information service receives signals from GPS satellites and calculates latitude and longitude data. Specifically, it calls the location information service API to obtain latitude and longitude data in the format "35.0116, 135.7681."

[1099] Step 2:

[1100] Sending to the server

[1101] The device sends the location information it has acquired to the server. As input, the device has the acquired latitude and longitude data (e.g., "35.0116, 135.7681"). This data is sent to the server using the HTTPS protocol. Specifically, the device constructs data in JSON format and sends an HTTP POST request to the specified endpoint on the server. The output is the location information sent to the server.

[1102] Step 3:

[1103] User Emotion Recognition

[1104] The device uses a camera and microphone to analyze the user's facial expressions and voice to recognize emotions. The device receives camera footage and audio data as input. Based on this, the internal emotion engine extracts the user's facial landmarks in real time and analyzes the tone of their voice. Specifically, it runs an emotion analysis algorithm to generate emotion data such as "happy," "sad," or "excited." The output is the user's emotion data.

[1105] Step 4:

[1106] Sending emotional data

[1107] The device sends the recognized emotion data to the server. As input, the device has the user's emotion data (e.g., "fun"). This is sent to the server along with location data using the HTTPS protocol. Specifically, the device encodes the emotion data into JSON format and sends an HTTP POST request. The output is the emotion data sent to the server.

[1108] Step 5:

[1109] Receiving location and emotion data

[1110] The server receives the location information and emotion data sent from the device. As input, the server receives the data included in the HTTP POST request. Based on this, it parses the request body to extract the location information and emotion data. Specifically, it saves the location information and emotion data in a backend database. The output is the location information and emotion data stored in the database.

[1111] Step 6:

[1112] Search for related spots

[1113] The server uses the generative AI model to search for relevant tourist attractions based on location information and emotion data. As input, the server has location information and emotion data stored in a database. Based on this, it sends a prompt to the generative AI model. Specifically, the server inputs a prompt such as "Please suggest tourist attractions for the user who is enjoying themselves at the location 35.0116, 135.7681" into the generative AI model. The output is a list of relevant tourist attractions.

[1114] Step 7:

[1115] Information generation

[1116] The server generates detailed information about related tourist spots. As input, the server has a list of tourist spots obtained from the generative AI model. Based on this, it aggregates data such as the tourist spot's characteristics, history, and user reviews, and uses an emotion engine to optimize the expression to match the user's emotions. Specifically, it generates multilingual information and highlights fun events and activity information according to the "fun" keyword. The output is detailed tourist spot information.

[1117] Step 8:

[1118] Sending information

[1119] The server generates tourist spot information and sends it to the terminal. As input, the server has detailed tourist spot information. It encodes this information into JSON format and sends it to the terminal using the HTTPS protocol. Specifically, the server sends the generated information as an HTTP response. The output is the tourist spot information sent to the terminal.

[1120] Step 9:

[1121] Receiving and displaying information

[1122] The device displays tourist spot information received from the server to the user. As input, the device has an HTTP response containing tourist spot information. Based on this, the information is displayed in the application's UI component. Specifically, the name, description, image, etc. of the tourist spot are displayed in the user interface. The user checks this and selects the place to visit. The output is the tourist spot information displayed to the user.

[1123] (Application example 2)

[1124] 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."

[1125] Conventional tourist spot information systems mainly provide information based on the user's current location and do not provide personalized information that takes into account the user's emotional state. Furthermore, because the field is limited to tourism, it is difficult to respond to the diverse needs of users. Furthermore, the information provided is often limited to one language, which can be inconvenient for tourists.

[1126] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1127] In this invention, the server includes means for providing a generative artificial intelligence model for generating relevant spot information based on the user's current location and emotional state, means for identifying spots related to food, drink, entertainment, and culture, and means for generating spot information in multiple languages, thereby enabling provision of personalized multilingual information related to food, drink, entertainment, and culture according to each user's emotional state.

[1128] "Location information acquisition means" refers to a means for identifying the current location of a terminal using a GPS module or the like.

[1129] "Communication means" refers to means such as an internet connection or short-range communication for transmitting acquired location information and other data to a server.

[1130] "User's emotional state" refers to emotional data based on the user's facial expressions and voice, which are analyzed using sensors such as a camera and microphone.

[1131] A "generative artificial intelligence model" is an AI model for generating relevant spot information based on a user's current location and emotional state.

[1132] "Server means" refers to a server for receiving and processing data relating to the user's location and emotional state.

[1133] "Spot information" is detailed information about places related to eating and drinking, entertainment, culture, etc.

[1134] The "display means" refers to a display or screen for visually presenting the spot information received by the terminal to the user.

[1135] "Spots related to food, drink, entertainment, and culture" are places that meet a variety of user needs, such as restaurants, cafes, tourist attractions, and entertainment facilities.

[1136] "Generating spot information in multiple languages" is a function that provides information to users in multiple languages.

[1137] The present invention relates to a system for providing optimal spot information based on a user's current location and emotional state. Specific embodiments will be described below.

[1138] System Configuration

[1139] This system is composed of a user's terminal, a server, and a generative AI model. The main components are as follows:

[1140] 1. Terminal

[1141] Location information acquisition means: The GPS module is used to identify the user's current location.

[1142] Communication means: Includes an internet connection and short-range communication means for transmitting acquired location information to a server.

[1143] User emotion recognition means: Analyzes user emotions using sensors such as cameras and microphones.

[1144] Display means: Equipped with a display for displaying spot information transmitted from the server.

[1145] 2. Server

[1146] Data receiving means: Receives location information and emotion data sent from the terminal.

[1147] Generative artificial intelligence model: Generates spot information based on received data.

[1148] Communication method: Sends the generated spot information to the terminal.

[1149] Program processing

[1150] The system uses Python as the primary programming language and involves the following libraries and APIs:

[1151] geopy: Supports location retrieval.

[1152] OpenAI API: Uses generative AI models to generate spot information based on the user's location and emotional state.

[1153] DeepFace: A deep learning model for emotion recognition.

[1154] Tkinter: A framework for GUI display.

[1155] Hardware Details

[1156] Smartphone: Equipped with a GPS module, camera, microphone, and display.

[1157] Server: Equipped with highly efficient processing units to ensure performance.

[1158] Specific examples of processing

[1159] For example, consider a situation where a user is in a city center and their emotional state is recognized as "having fun." Below is an example of a prompt sentence that can be input to the generative AI model:

[1160] Examples of prompt statements

[1161] Suggest the best restaurant when the user's current location is latitude 35.6895, longitude 139.6917 and emotional state is enjoying.

[1162] Based on these prompts, the generative AI model generates information on dining, entertainment, and cultural spots that are suitable for the user. This information is sent from the server to the device and displayed on the user's smartphone screen. This allows the user to receive suggestions for the best places and activities to take based on their emotional state, providing a more personalized experience.

[1163] Usage example

[1164] When a user launches the app, their location information is automatically acquired, and emotion recognition is performed using the camera and microphone. Below is an example of how the system works.

[1165] 1. Location information acquisition:

[1166] Use GPS to determine the user's current location, for example, latitude 35.6895, longitude 139.6917.

[1167] 2. Emotion recognition:

[1168] If the user is having fun, it is determined that the user is "having fun" by analyzing their smile and voice.

[1169] 3. Spot search and prompt generation:

[1170] Generate the above prompt sentence and input it into the generative AI model.

[1171] 4. Information Generation and Display:

[1172] Information on suggested restaurants and entertainment facilities is generated and sent to and displayed on the user's device.

[1173] This allows users to quickly find the best place for their emotional state.

[1174] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1175] Step 1:

[1176] The device obtains the user's current location. Specifically, it obtains latitude and longitude information using the device's GPS module. This input data is the user's current location, and is saved in an internal temporary file for use in the next step. The output is location information (latitude and longitude).

[1177] Step 2:

[1178] The device sends the acquired location information to the server. The device sends the location data to the server via a communication means. Specifically, the device sends the location information to a specific API endpoint on the server via an internet connection. The input is the location information, and the output is the location information sent to the server.

[1179] Step 3:

[1180] The device recognizes the user's emotional state. It uses a camera and microphone to capture the user's facial expressions and voice and then performs emotion analysis. Specific examples include facial expression analysis of facial images and voice tone analysis using deep learning. The input is the user's facial image and voice data, and the output is recognized emotion data.

[1181] Step 4:

[1182] The device sends the recognized emotion data to the server. The device then sends the emotion data to the server via a communication method. Specifically, the device sends the data to the server's API endpoint via an internet connection, just like when sending location information. The input is emotion data, and the output is the emotion data sent to the server.

[1183] Step 5:

[1184] The server processes the received location information and emotion data and inputs it into the generative AI model. The server analyzes the received data to generate a prompt sentence, which is then input into the generative AI model. A specific prompt sentence might be in the form of "When the user's current location is latitude XX.XXXX, longitude XX.XXXX, and their emotional state is XXX, please suggest the best restaurant." The input is location information and emotion data, and the output is input to the AI ​​model using the prompt sentence.

[1185] Step 6:

[1186] A generative AI model generates the best spot information for the user. The generative AI model generates spot information based on the input prompt. For example, it can suggest restaurants or entertainment venues based on a specific location and emotional state. The input is the prompt, and the output is the generated spot information.

[1187] Step 7:

[1188] The server sends the generated spot information to the terminal. The server then sends the generated spot information to the terminal via a communication means. Specifically, data is communicated using an API endpoint. The input is the generated spot information, and the output is the data sent to the terminal.

[1189] Step 8:

[1190] The terminal displays the received spot information. The terminal displays the received data on a display. Specifically, information such as the spot name, address, and rating is displayed on the user interface. Navigation links and phone numbers may also be displayed. The input is the spot information received from the server, and the output is a display that the user can visually confirm.

[1191] 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.

[1192] 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.

[1193] 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.

[1194] [Fourth embodiment]

[1195] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1196] 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.

[1197] 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).

[1198] 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.

[1199] 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.

[1200] 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).

[1201] 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.

[1202] 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.

[1203] 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.

[1204] 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.

[1205] 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.

[1206] 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.

[1207] 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."

[1208] The present invention relates to a guide system that provides information on tourist attractions related to a user's current location. Specific embodiments of the system will be described below.

[1209] Terminal

[1210] 1. Get current location:

[1211] The device uses a GPS module to obtain the user's current location, and if the user gives permission, the device can pinpoint the location information accurately.

[1212] 2. Send to server:

[1213] The device transmits the acquired location information to a server using a communication method such as an internet connection or short-range communication.

[1214] 3. Receiving and Displaying Information:

[1215] The tourist spot information sent from the server is received and displayed on the user's screen, using a display such as a smartphone or tablet.

[1216] server

[1217] 1. Receiving location information:

[1218] The server receives the location information sent by the device, which is used to match it with location data stored in the server's database.

[1219] 2. Search for related spots:

[1220] The server uses a generative AI model to search for relevant tourist attractions based on the received location information. This generative AI model can identify historical, subcultural, cultural, and culinary locations.

[1221] 3. Information Generation:

[1222] The server generates detailed information about the searched tourist spot, including its characteristics, history, and reasons for visiting. This information is generated in multiple languages ​​using an AI model.

[1223] 4. Transmission of Information:

[1224] The server then sends the generated tourist spot information to the terminal, allowing the user to obtain related information in real time.

[1225] User

[1226] 1. Launch the app:

[1227] The user starts the guide system application and allows acquisition of location information.

[1228] 2. Verify the information:

[1229] Users can check detailed information about tourist attractions displayed on their devices and select the places they want to visit, giving them the opportunity to learn more about hidden spots and local culture.

[1230] Specific examples

[1231] As a specific example, consider a case where a user is located in Kyoto City. When the user launches the app and allows location information acquisition, the device sends the location information "35.0116, 135.7681" (Kyoto City, Kyoto Prefecture) to the server. The server receives this information and uses the generative AI model to search for related tourist spots such as "Shimogamo Shrine," "Kanra Kyoto Sanjo Branch," and "Kyoto International Manga Museum."

[1232] The server then generates detailed information about these spots in multiple languages ​​and sends it to the user's device. The device receives this information and displays it to the user. Users can check the history of Shimogamo Shrine, the popular menu items at Kanra Kyoto Sanjo, the exhibits at the Kyoto International Manga Museum, and more, and choose places to visit based on their interests.

[1233] In this way, the guide system of the present invention can provide users with information related to not only famous tourist spots, but also hidden spots, local cultures, subcultures, and cuisine, thereby providing a rich travel experience.

[1234] The processing flow will be explained below.

[1235] Step 1:

[1236] The user starts the guide system application.

[1237] Step 2:

[1238] The user allows the device to obtain location information.

[1239] Step 3:

[1240] The device uses the GPS module to obtain location information of the current location.

[1241] Step 4:

[1242] The location information acquired by the device is sent to the server.

[1243] Step 5:

[1244] The server receives the location information transmitted from the terminal.

[1245] Step 6:

[1246] The server uses the generated AI model to search for relevant tourist attractions based on the received location information.

[1247] Step 7:

[1248] The server generates detailed information about the searched tourist spots.

[1249] Step 8:

[1250] The server transmits the generated tourist spot information to the terminal.

[1251] Step 9:

[1252] The terminal receives the tourist spot information transmitted from the server.

[1253] Step 10:

[1254] The tourist spot information received by the device is displayed.

[1255] Step 11:

[1256] The user checks the tourist spot information displayed on the device and selects the places to visit.

[1257] Example 1

[1258] 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."

[1259] The goal of this service is to solve the problem of travelers and tourists being unable to search for relevant places based on their current location and providing multilingual information when obtaining detailed information about the areas they visit in real time.The service also aims to provide a richer experience for travelers by providing information not only on famous tourist spots, but also on hidden gems, local cultures, subcultures, and places related to food.

[1260] 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.

[1261] In this invention, the server includes a location information acquisition means, a communication means for transmitting the acquired location information to the server, a server means having a generative machine learning model for generating related place information based on the user's current location, a communication means for transmitting the generated location information to the terminal, and a display means for displaying the location information received by the terminal, thereby enabling related place information to be provided in multiple languages ​​in real time.

[1262] "Location information acquisition means" refers to a device or software that has the function of identifying the current location of the user's terminal.

[1263] "Communication means" refers to devices or software that have the function of sending and receiving acquired location information and generated information between a server and a terminal.

[1264] A "generative machine learning model" is an artificial intelligence model used to generate relevant place information based on a user's current location, and refers to a program with multilingual support and data analysis capabilities.

[1265] "Server means" refers to a device or system that has a generative machine learning model and a location information matching database, and has the function of searching and generating related information based on the acquired location information and transmitting it to the terminal.

[1266] The "display means" refers to a display or a display screen for visually presenting the location information received by the terminal to the user.

[1267] "Location information" refers to detailed information about tourist attractions, cultural facilities, eating and drinking spots, etc. related to the user's current location, including history, characteristics, photos, and reasons for visiting.

[1268] The present invention relates to a guide system that provides relevant location information based on a user's current location. The system aims to provide users with real-time, multilingual location information by mainly utilizing terminals, servers, communication means between them, and generative machine learning models.

[1269] Terminal

[1270] The device uses a built-in GPS module and communication functions to obtain the user's current location and transmits that information to a server. The device is intended to be a mobile device such as a smartphone or tablet.

[1271] 1. Obtaining location information: The device uses the GPS module to accurately determine the user's current location. To do this, the user must grant permission to obtain location information. Specifically, the application asks the user, "Do you want to allow the app to obtain your current location information?" and the user selects "Allow."

[1272] 2. Send to server: The location information is then sent to the server via your internet connection. This process happens in the background and is not visible to the user.

[1273] 3. Receiving and displaying information: The device receives the tourist spot information sent from the server and displays it on the user's screen. The display content includes the location name, photo, description, etc.

[1274] server

[1275] The server uses a generative machine learning model to generate information about related tourist spots based on the received location information and then sends it back to the device. The server is located in a data center with powerful processing power and compares the user's location information with a large database.

[1276] 1. Receiving location information: The server receives the location information sent from the device and prepares to match it with the database.

[1277] 2. Find related places: Using a generative machine learning model, we search for related tourist attractions based on the received location information. This includes places related to history, subcultures, culture, and food.

[1278] 3. Tourist attraction information generation: Detailed information about the searched tourist attractions is generated. This information includes the characteristics and history of the place, its worth visiting, user reviews, etc. The information is generated in multiple languages.

[1279] 4. Sending tourist attraction information: Send the generated information to the terminal so that the user can receive it in real time.

[1280] User

[1281] Users can receive relevant location-based information in real time through the application and use that information to plan their visits to tourist attractions.

[1282] 1. App launch: The user launches the guide system application and allows location information acquisition, which prepares the device to acquire the current location using the GPS module.

[1283] 2. Check information: Check detailed information about tourist spots displayed on the device and select the places you want to visit. This allows users to learn more about hidden spots and local culture.

[1284] Specific examples

[1285] Consider a case where a user is in a certain city. When the user launches the app and allows location information acquisition, the device sends the location information "35.0116, 135.7681" to the server. The server receives this information and uses a generative machine learning model to search for related tourist spots such as "Sightseeing Spot A," "Sightseeing Spot B," and "Sightseeing Spot C."

[1286] The server generates detailed information about these spots in multiple languages ​​and sends it to the user's device. The device receives this information and displays it to the user. The user can check the history of spot A, the popular menu items at spot B, the exhibits at spot C, and so on, and choose the places to visit based on their interests.

[1287] Prompt Sentence Examples

[1288] "Get your location and search for nearby attractions."

[1289] "Generate tourist spot information based on 35.0116, 135.7681."

[1290] "What are some recommended tourist spots in a certain city?"

[1291] In this way, the guide system can provide users with relevant location information in multiple languages ​​in real time, enriching their travel experience.

[1292] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1293] Step 1: Obtaining location information

[1294] Description: The device uses the GPS module to obtain the user's current location. The user must grant permission to obtain location information.

[1295] Input: Location permission from the user.

[1296] Data processing: The GPS module measures the user's current location (latitude and longitude).

[1297] Output: The location information obtained (e.g. "35.0116, 135.7681").

[1298] Specific behavior: The app on the device asks the user, "Do you want to allow the app to obtain your current location?" If the user selects "Allow," the device displays "Obtaining current location..." and uses GPS to determine the location.

[1299] Step 2: Send location information to the server

[1300] Description: The device sends the acquired location information to a server via an internet connection.

[1301] Input: The location information obtained (e.g. "35.0116, 135.7681").

[1302] Data processing: Convert location information into HTTP request format.

[1303] Output: HTTP request with location information.

[1304] Specific operation: The device sends the location data of "35.0116, 135.7681" to the server, and the screen displays "Sending...".

[1305] Step 3: Receiving location information

[1306] Description: The server receives the location information sent by the device and compares it with the location data stored in the database.

[1307] Input: The location sent from the device (e.g. "35.0116, 135.7681").

[1308] Data processing: Convert the location information into a format that can be matched with location data in the database.

[1309] Output: Locations ready to be matched.

[1310] Specific behavior: The server logs "Location '35.0116, 135.7681' received."

[1311] Step 4: Search for related spots

[1312] Description: The server uses a generative AI model to search for relevant tourist attractions based on the received location information.

[1313] Input: Location information ready to be matched.

[1314] Data processing: Using a generative AI model, we search for related spots.

[1315] Output: A list of related attractions as search results.

[1316] Specific operation: The server updates the processing status to "Searching for related tourist spots based on the received location information..."

[1317] Step 5: Generate tourist spot information

[1318] Description: The server generates detailed information about the tourist attractions you searched for. This information is available in multiple languages.

[1319] Input: A list of relevant attractions.

[1320] Data processing: Using a generative AI model, detailed tourist spot information (descriptions, photos, reviews, etc.) is generated in multiple languages.

[1321] Output: Generated tourist spot information.

[1322] Specific operation: The server generates information such as "historical information about Shimogamo Shrine, in multiple languages," "popular menu items, opening hours, etc."

[1323] Step 6: Submit tourist attraction information

[1324] Description: The generated tourist spot information is sent from the server to the device.

[1325] Input: Generated tourist spot information.

[1326] Data processing: Convert tourist spot information into HTTP response format.

[1327] Output: HTTP response containing tourist spot information.

[1328] Specific operation: The server updates the processing status with "Sending tourist spot information to the terminal..." and, if successful, logs "Sending completed."

[1329] Step 7: Receiving and displaying information

[1330] Description: The terminal receives tourist spot information sent from the server and displays it on the user's display.

[1331] Input: HTTP response containing tourist spot information sent from the server.

[1332] Data processing: Converting received information into a displayable format.

[1333] Output: Tourist attraction information displayed on the user's display.

[1334] Specific operation: The device displays "Information received" and displays the "tourist attraction names, photos, and descriptions" to the user in list format.

[1335] In this way, by linking the terminal, server, and user, the system can provide relevant tourist spot information in real time based on the user's current location.

[1336] (Application example 1)

[1337] 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."

[1338] Conventional tourist guide systems have limited functionality for providing tourist spot information based on the user's current location and lack integration with autonomous vehicles. This makes it difficult for users to obtain real-time tourist spot and gourmet information while driving. There is also a demand for a system that not only displays information visually but also provides audio guidance, allowing drivers to obtain information with peace of mind.

[1339] 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.

[1340] In this invention, the server includes location information acquisition means for identifying the current location of the terminal, communication means for transmitting the acquired location information to the server, means for providing a generative artificial intelligence model for generating relevant tourist spot information based on the user's current location, communication means for transmitting the generated tourist spot information to the terminal, display means for displaying the tourist spot information received by the terminal, voice guidance means for providing guidance on the tourist spot information received by a voice assistant, and means for being integrated into the infotainment system of the autonomous vehicle, thereby enabling the user to obtain tourist spot and gourmet information visually and audibly in real time while driving.

[1341] "Location information acquisition means" refers to a function or device for identifying the current location of a terminal.

[1342] "Communication means" refers to the functions and devices for transmitting acquired location information and generated tourist spot information to a server or terminal.

[1343] "Generative AI model" refers to an AI technology for generating relevant tourist spot information based on a user's current location.

[1344] "Server means" refers to a function or device that has a generative artificial intelligence model, generates tourist spot information based on received location information, and transmits it to a terminal.

[1345] "Display means" refers to a function or device for displaying tourist spot information received by the terminal to the user.

[1346] "Audio guidance means" refers to a function or device for providing audio guidance of the received tourist spot information.

[1347] "Autonomous vehicle infotainment system" refers to a system that integrates information and entertainment functions installed in an autonomous vehicle.

[1348] The present invention provides a guide system that provides information on tourist attractions related to a user's current location, and the system is applied to an infotainment system for an autonomous vehicle. Hereinafter, an embodiment of the present invention will be described in detail.

[1349] Terminal

[1350] 1. Get current location:

[1351] The device uses a GPS module to obtain the user's current location. The GPS system of the device is used as the technology for obtaining this location information.

[1352] 2. Send to server:

[1353] The device sends the acquired location information to a cloud server via an internet connection.

[1354] 3. Receiving and Displaying Information:

[1355] The tourist spot information sent from the server is received and displayed on the terminal's display. The information is also provided by a voice assistant. The display means and voice guidance means are integrated with the vehicle's infotainment system.

[1356] server

[1357] 1. Receiving location information:

[1358] The server receives the location information sent from the device via a REST API.

[1359] 2. Search for related spots:

[1360] The server uses a generative AI model, such as GPT-4, to search for relevant tourist spots based on the received location information. This AI model generates tourist spot information using a prompt sentence as input.

[1361] 3. Information Generation:

[1362] The server generates detailed information about the searched tourist spot, including the tourist spot's name, overview, history, and reasons for visiting. The generated information can be provided in multiple languages.

[1363] 4. Transmission of Information:

[1364] The server then sends the generated tourist spot information to the terminal, allowing the user to obtain related information in real time.

[1365] User

[1366] 1. Launch the app:

[1367] The user starts the guide system application and allows acquisition of location information.

[1368] 2. Verify the information:

[1369] Users can view the received tourist attraction details on their device's display and voice assistant, and then select the places they want to visit, giving them the opportunity to learn more about hidden spots and local culture.

[1370] Specific examples

[1371] As a concrete example, consider a user traveling in a self-driving vehicle within Kyoto City. When the user launches the app and allows location information acquisition, the device sends the location information "35.0116, 135.7681" (Kyoto City, Kyoto Prefecture) to the server. The server receives this information and uses a generative AI model to search for related tourist spots such as "historical shrines," "famous restaurants," and "manga museums." Examples of prompts to specify are as follows:

[1372] The user's current location is "35.0116, 135.7681" (Kyoto City, Kyoto Prefecture). Please suggest three related tourist spots based on this location information.

[1373] The server then generates detailed information about these spots in multiple languages ​​and sends it to the user's device. The device receives this information, displays it on its screen, and uses a voice assistant to guide users. Users can check the history of a historic shrine, recommended menu items at a famous restaurant, or the exhibits at a manga museum, and choose places to visit based on their interests.

[1374] In this way, the guide system of the present invention can provide a rich travel experience even in an autonomous vehicle.

[1375] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1376] Step 1:

[1377] The user launches the guide application in the infotainment system of the autonomous vehicle and allows location information to be acquired. This causes the device to use the GPS module to determine the current location and obtain the current location coordinates (input). Once the location coordinates are acquired, they are sent to the next step (output).

[1378] Step 2:

[1379] The device sends the acquired location coordinates to the server via an Internet connection (input), and the sent location coordinates are received via the server's REST API (output). This prepares the device to use the location information to search for information on related tourist attractions.

[1380] Step 3:

[1381] The server inputs the received location coordinates into a generative AI model. This model generates relevant tourist spot information based on the location coordinates. Specifically, the prompt statement, "The user's current location is '35.0116, 135.7681'. Please suggest three relevant tourist spots based on this location information," is input into the generative AI model (e.g., GPT-4) to generate tourist spot information (output).

[1382] Step 4:

[1383] The tourist spot information generated by the generative AI model is stored on the server and then prepared for transmission to the user's device. The server also has the ability to generate tourist spot information in multiple languages, so it generates information in the language set by the user (input). Multilingual tourist spot information is then generated (output).

[1384] Step 5:

[1385] The server sends the generated tourist spot information to the device. The device then displays detailed information such as the tourist spot's name, overview, and history on the display (input). At the same time, the voice assistant provides audible guidance about the tourist spot information (output). Specifically, the voice guide is launched using the pyttsx3 library.

[1386] Step 6:

[1387] The user can check tourist spot information on the device display and select places to visit. Voice guidance allows the user to receive information while safely driving the vehicle. The final output is when the user selects a spot that interests them.

[1388] Through the above processing steps, the guide system of the present invention provides the user with information on tourist attractions in real time, realizing a rich travel experience in an autonomous vehicle.

[1389] 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.

[1390] The present invention relates to a guide system that provides information on tourist attractions related to a user's current location, and by combining it with an emotion engine, it is possible to provide more personalized tourist attraction information according to the user's emotions. Specific embodiments of this system are described below.

[1391] Terminal

[1392] 1. Get current location:

[1393] The device uses a GPS module to obtain the user's current location, and if the user gives permission, the device can pinpoint the location information accurately.

[1394] 2. Send to server:

[1395] The device transmits the acquired location information to a server using a communication method such as an internet connection or short-range communication.

[1396] 3. User Emotion Recognition:

[1397] The device uses sensors such as a camera and microphone to analyze the user's facial expressions and voice, and recognizes the user's emotions using an emotion engine.

[1398] 4. Receiving and Displaying Information:

[1399] The tourist spot information sent from the server is received and displayed on the user's screen, using a display such as a smartphone or tablet.

[1400] server

[1401] 1. Receiving location information:

[1402] The server receives the location information sent by the device, which is used to match it with location data stored in the server's database.

[1403] 2. Receiving emotion data:

[1404] The server receives the user's emotional data transmitted from the device, allowing the server to understand the user's current emotional state.

[1405] 3. Search for related spots:

[1406] The server uses a generative AI model to search for relevant tourist attractions based on the received location and emotion data. The generative AI model can identify historical, subcultural, cultural, and culinary locations.

[1407] 4. Information Generation:

[1408] The server generates detailed information about the searched tourist spot, including the location's characteristics, history, and reasons for visiting. Using an AI model and emotion engine, this information is generated in multiple languages ​​according to the user's emotions.

[1409] 5. Transmission of Information:

[1410] The server then sends the generated tourist spot information to the terminal, allowing the user to obtain related information in real time.

[1411] User

[1412] 1. Launch the app:

[1413] The user launches the guide system application and allows location information acquisition and emotion recognition.

[1414] 2. Verify the information:

[1415] The user can check the detailed information of tourist spots displayed on the device and select the places to visit, thereby enabling the user to visit tourist spots that suit their current emotional state.

[1416] Specific examples

[1417] As a specific example, consider a case where a user is in Kyoto City. When the user launches the app and allows location information acquisition and emotion recognition, the device sends the location information "35.0116, 135.7681" (Kyoto City, Kyoto Prefecture) along with emotion data indicating the user is "having fun" to the server. The server receives this information and uses a generative AI model and emotion engine to search for related tourist spots such as "Shimogamo Shrine," "Kanra Kyoto Sanjo Branch," and "Kyoto International Manga Museum."

[1418] The server then generates detailed information about these spots in multiple languages ​​and sends the information optimized for the user's emotional state to the device. The device receives this information and displays it to the user. Users can check the history of Shimogamo Shrine, the popular menu items at Kanra Kyoto Sanjo, the exhibits at the Kyoto International Manga Museum, and more, and choose spots to visit that suit their emotions.

[1419] In this way, the guide system of the present invention can provide information related to not only famous tourist spots but also hidden spots, local culture, subcultures, and cuisine based on the user's current location and emotions, thereby providing a rich travel experience.

[1420] The processing flow will be explained below.

[1421] Step 1:

[1422] The user starts the guide system application.

[1423] Step 2:

[1424] The user allows the device to acquire location information and recognize emotions.

[1425] Step 3:

[1426] The device uses the GPS module to obtain location information of the current location.

[1427] Step 4:

[1428] The device uses sensors such as a camera and microphone to recognize the user's emotional state using an emotion engine.

[1429] Step 5:

[1430] The location information and emotion data acquired by the terminal are transmitted to a server.

[1431] Step 6:

[1432] The server receives the location information and emotion data transmitted from the terminal.

[1433] Step 7:

[1434] The server uses the generated AI model to search for relevant tourist attractions based on the received location information.

[1435] Step 8:

[1436] The server uses an emotion engine to change the recommended ranking of tourist spots based on the received emotion data.

[1437] Step 9:

[1438] The server generates detailed information about the searched tourist spots.

[1439] Step 10:

[1440] The server transmits the generated tourist spot information to the terminal.

[1441] Step 11:

[1442] The terminal receives the tourist spot information transmitted from the server.

[1443] Step 12:

[1444] The tourist spot information received by the terminal is displayed on the user's screen.

[1445] Step 13:

[1446] The user checks the tourist spot information displayed on the device and selects the places to visit.

[1447] Example 2

[1448] 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."

[1449] Conventional tourist information systems guide users to tourist spots based on their current location, but lack the ability to provide tourist information based on the user's specific emotional state. This makes it difficult for users to find tourist spots that match their emotions and moods, limiting their travel experience.

[1450] 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.

[1451] In this invention, the server includes emotion recognition means and a means for providing a generative artificial intelligence model for generating relevant tourist spot information based on the user's current location and emotion data, communication means for transmitting the generated tourist spot information to the terminal, and display means for displaying the tourist spot information received by the terminal, thereby making it possible to provide personalized tourist information according to the user's current location and emotional state.

[1452] "Location information acquisition means" refers to the GPS module or location information service that the terminal uses to identify the user's current location.

[1453] "Communication means" refers to an Internet connection or short-range communication technology (e.g., Wi-Fi or mobile data communication) for sending and receiving data between a terminal and a server.

[1454] "Emotion recognition means" refers to algorithms or engines that use sensors such as cameras and microphones to analyze the user's facial expressions and voice and recognize their emotions.

[1455] "Generative AI model" refers to an AI algorithm for generating relevant tourist spot information based on a user's current location and emotion data.

[1456] "Display means" refers to a display or user interface that allows the tourist spot information received by the terminal to be visualized for the user.

[1457] The present invention relates to a guide system that provides relevant tourist spot information based on a user's current location and emotions. The system is composed of a terminal, a server, and a user interface. Specific embodiments of the system are described below.

[1458] Terminal

[1459] 1. Obtaining your current location

[1460] The device uses the GPS module to obtain the user's current location. When the user installs the application and allows location information acquisition, the device calculates the latitude and longitude of the current location. For example, the device's location information service obtains data in the format "35.0116, 135.7681".

[1461] 2. Send to the server

[1462] The device sends the acquired location information to the server using the HTTPS protocol. For example, the device constructs JSON data in the format "{lat: 35.0116, lon: 135.7681}" and sends it to the server.

[1463] 3. User Emotion Recognition

[1464] The device uses sensors such as a camera and microphone to analyze the user's facial expressions and voice. This allows the emotion engine to recognize the user's emotions. Specifically, it extracts the user's facial landmarks from the camera footage in real time and performs voice tone analysis. As a result, emotional data such as "happy," "sad," and "excited" is generated.

[1465] 4. Receiving and Displaying Information

[1466] The device receives tourist spot information sent from the server and displays it on the user's display. The received information includes tourist spot names, descriptions, images, etc., allowing the user to intuitively understand the information.

[1467] server

[1468] 1. Receiving location and emotion data

[1469] The server receives the location information and emotion data sent from the device. When an HTTP POST request arrives, it parses the request body to extract the location information and emotion data and stores them in a backend database.

[1470] 2. Search for related spots

[1471] The server uses the generative AI model to search for relevant tourist spots based on the received location information and emotion data. For example, the server sends the prompt "Please suggest tourist spots for the user who is enjoying themselves at the location 35.0116, 135.7681" to the generative AI model.

[1472] 3. Information Generation

[1473] The server generates detailed information about the tourist spots that were searched for. This information is generated by aggregating multiple data sources, such as the tourist spot's characteristics, history, and user reviews, and is optimized to match the user's emotions using an emotion engine. For example, if a user is recognized as "fun," the server will highlight fun events and activities at that location.

[1474] 4. Transmission of Information

[1475] The server sends the generated tourist spot information to the device, which encodes it in JSON format and returns it to the device using the HTTPS protocol.

[1476] User

[1477] 1. Launch the app

[1478] The user launches the guide system application and grants permission to acquire location information and recognize emotions. When the user launches the app for the first time, a pop-up appears requesting permission to use location services and the camera and microphone, and the user taps the Allow button.

[1479] 2. Verify the information

[1480] Users can check the detailed information of tourist spots displayed on their device and choose the places they want to visit by tapping on the spot they are interested in from the list or map displayed on the app interface, then read more details and make a decision.

[1481] Prompt Sentence Examples

[1482] Here are some examples of prompts used by generative AI models:

[1483] "Location information: 35.0116, 135.7681 Emotion data: Enjoying. Please suggest tourist spots suitable for the user."

[1484] By inputting this prompt sentence into the generative AI model, information on related tourist spots such as "Shimogamo Shrine," "Kanra Kyoto Sanjo Store," and "Kyoto International Manga Museum" is returned.

[1485] The present invention enhances the travel experience of each individual user by providing personalized tourist information in real time according to the user's current location and emotional state.

[1486] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1487] Step 1:

[1488] Get current location

[1489] The device uses the GPS module to obtain the user's current location. As input, the device asks the user to allow location information to be provided within the application. Based on this, the device's location information service receives signals from GPS satellites and calculates latitude and longitude data. Specifically, it calls the location information service API to obtain latitude and longitude data in the format "35.0116, 135.7681."

[1490] Step 2:

[1491] Sending to the server

[1492] The device sends the location information it has acquired to the server. As input, the device has the acquired latitude and longitude data (e.g., "35.0116, 135.7681"). This data is sent to the server using the HTTPS protocol. Specifically, the device constructs data in JSON format and sends an HTTP POST request to the specified endpoint on the server. The output is the location information sent to the server.

[1493] Step 3:

[1494] User Emotion Recognition

[1495] The device uses a camera and microphone to analyze the user's facial expressions and voice to recognize emotions. The device receives camera footage and audio data as input. Based on this, the internal emotion engine extracts the user's facial landmarks in real time and analyzes the tone of their voice. Specifically, it runs an emotion analysis algorithm to generate emotion data such as "happy," "sad," or "excited." The output is the user's emotion data.

[1496] Step 4:

[1497] Sending emotional data

[1498] The device sends the recognized emotion data to the server. As input, the device has the user's emotion data (e.g., "fun"). This is sent to the server along with location data using the HTTPS protocol. Specifically, the device encodes the emotion data into JSON format and sends an HTTP POST request. The output is the emotion data sent to the server.

[1499] Step 5:

[1500] Receiving location and emotion data

[1501] The server receives the location information and emotion data sent from the device. As input, the server receives the data included in the HTTP POST request. Based on this, it parses the request body to extract the location information and emotion data. Specifically, it saves the location information and emotion data in a backend database. The output is the location information and emotion data stored in the database.

[1502] Step 6:

[1503] Search for related spots

[1504] The server uses the generative AI model to search for relevant tourist attractions based on location information and emotion data. As input, the server has location information and emotion data stored in a database. Based on this, it sends a prompt to the generative AI model. Specifically, the server inputs a prompt such as "Please suggest tourist attractions for the user who is enjoying themselves at the location 35.0116, 135.7681" into the generative AI model. The output is a list of relevant tourist attractions.

[1505] Step 7:

[1506] Information generation

[1507] The server generates detailed information about related tourist spots. As input, the server has a list of tourist spots obtained from the generative AI model. Based on this, it aggregates data such as the tourist spot's characteristics, history, and user reviews, and uses an emotion engine to optimize the expression to match the user's emotions. Specifically, it generates multilingual information and highlights fun events and activity information according to the "fun" keyword. The output is detailed tourist spot information.

[1508] Step 8:

[1509] Sending information

[1510] The server generates tourist spot information and sends it to the terminal. As input, the server has detailed tourist spot information. It encodes this information into JSON format and sends it to the terminal using the HTTPS protocol. Specifically, the server sends the generated information as an HTTP response. The output is the tourist spot information sent to the terminal.

[1511] Step 9:

[1512] Receiving and displaying information

[1513] The device displays tourist spot information received from the server to the user. As input, the device has an HTTP response containing tourist spot information. Based on this, the information is displayed in the application's UI component. Specifically, the name, description, image, etc. of the tourist spot are displayed in the user interface. The user checks this and selects the place to visit. The output is the tourist spot information displayed to the user.

[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 robot 414 will be referred to as a "terminal."

[1516] Conventional tourist spot information systems mainly provide information based on the user's current location and do not provide personalized information that takes into account the user's emotional state. Furthermore, because the field is limited to tourism, it is difficult to respond to the diverse needs of users. Furthermore, the information provided is often limited to one language, which can be inconvenient for tourists.

[1517] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1518] In this invention, the server includes means for providing a generative artificial intelligence model for generating relevant spot information based on the user's current location and emotional state, means for identifying spots related to food, drink, entertainment, and culture, and means for generating spot information in multiple languages, thereby enabling provision of personalized multilingual information related to food, drink, entertainment, and culture according to each user's emotional state.

[1519] "Location information acquisition means" refers to a means for identifying the current location of a terminal using a GPS module or the like.

[1520] "Communication means" refers to means such as an internet connection or short-range communication for transmitting acquired location information and other data to a server.

[1521] "User's emotional state" refers to emotional data based on the user's facial expressions and voice, which are analyzed using sensors such as a camera and microphone.

[1522] A "generative artificial intelligence model" is an AI model for generating relevant spot information based on a user's current location and emotional state.

[1523] "Server means" refers to a server for receiving and processing data relating to the user's location and emotional state.

[1524] "Spot information" is detailed information about places related to eating and drinking, entertainment, culture, etc.

[1525] The "display means" refers to a display or screen for visually presenting the spot information received by the terminal to the user.

[1526] "Spots related to food, drink, entertainment, and culture" are places that meet a variety of user needs, such as restaurants, cafes, tourist attractions, and entertainment facilities.

[1527] "Generating spot information in multiple languages" is a function that provides information to users in multiple languages.

[1528] The present invention relates to a system for providing optimal spot information based on a user's current location and emotional state. Specific embodiments will be described below.

[1529] System Configuration

[1530] This system is composed of a user's terminal, a server, and a generative AI model. The main components are as follows:

[1531] 1. Terminal

[1532] Location information acquisition means: The GPS module is used to identify the user's current location.

[1533] Communication means: Includes an internet connection and short-range communication means for transmitting acquired location information to a server.

[1534] User emotion recognition means: Analyzes user emotions using sensors such as cameras and microphones.

[1535] Display means: Equipped with a display for displaying spot information transmitted from the server.

[1536] 2. Server

[1537] Data receiving means: Receives location information and emotion data sent from the terminal.

[1538] Generative artificial intelligence model: Generates spot information based on received data.

[1539] Communication method: Sends the generated spot information to the terminal.

[1540] Program processing

[1541] The system uses Python as the primary programming language and involves the following libraries and APIs:

[1542] geopy: Supports location retrieval.

[1543] OpenAI API: Uses generative AI models to generate spot information based on the user's location and emotional state.

[1544] DeepFace: A deep learning model for emotion recognition.

[1545] Tkinter: A framework for GUI display.

[1546] Hardware Details

[1547] Smartphone: Equipped with a GPS module, camera, microphone, and display.

[1548] Server: Equipped with highly efficient processing units to ensure performance.

[1549] Specific examples of processing

[1550] For example, consider a situation where a user is in a city center and their emotional state is recognized as "having fun." Below is an example of a prompt sentence that can be input to the generative AI model:

[1551] Examples of prompt statements

[1552] Suggest the best restaurant when the user's current location is latitude 35.6895, longitude 139.6917 and emotional state is enjoying.

[1553] Based on these prompts, the generative AI model generates information on dining, entertainment, and cultural spots that are suitable for the user. This information is sent from the server to the device and displayed on the user's smartphone screen. This allows the user to receive suggestions for the best places and activities to take based on their emotional state, providing a more personalized experience.

[1554] Usage example

[1555] When a user launches the app, their location information is automatically acquired, and emotion recognition is performed using the camera and microphone. Below is an example of how the system works.

[1556] 1. Location information acquisition:

[1557] Use GPS to determine the user's current location, for example, latitude 35.6895, longitude 139.6917.

[1558] 2. Emotion recognition:

[1559] If the user is having fun, it is determined that the user is "having fun" by analyzing their smile and voice.

[1560] 3. Spot search and prompt generation:

[1561] Generate the above prompt sentence and input it into the generative AI model.

[1562] 4. Information Generation and Display:

[1563] Information on suggested restaurants and entertainment facilities is generated and sent to and displayed on the user's device.

[1564] This allows users to quickly find the best place for their emotional state.

[1565] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1566] Step 1:

[1567] The device obtains the user's current location. Specifically, it obtains latitude and longitude information using the device's GPS module. This input data is the user's current location, and is saved in an internal temporary file for use in the next step. The output is location information (latitude and longitude).

[1568] Step 2:

[1569] The device sends the acquired location information to the server. The device sends the location data to the server via a communication means. Specifically, the device sends the location information to a specific API endpoint on the server via an internet connection. The input is the location information, and the output is the location information sent to the server.

[1570] Step 3:

[1571] The device recognizes the user's emotional state. It uses a camera and microphone to capture the user's facial expressions and voice and then performs emotion analysis. Specific examples include facial expression analysis of facial images and voice tone analysis using deep learning. The input is the user's facial image and voice data, and the output is recognized emotion data.

[1572] Step 4:

[1573] The device sends the recognized emotion data to the server. The device then sends the emotion data to the server via a communication method. Specifically, the device sends the data to the server's API endpoint via an internet connection, just like when sending location information. The input is emotion data, and the output is the emotion data sent to the server.

[1574] Step 5:

[1575] The server processes the received location information and emotion data and inputs it into the generative AI model. The server analyzes the received data to generate a prompt sentence, which is then input into the generative AI model. A specific prompt sentence might be in the form of "When the user's current location is latitude XX.XXXX, longitude XX.XXXX, and their emotional state is XXX, please suggest the best restaurant." The input is location information and emotion data, and the output is input to the AI ​​model using the prompt sentence.

[1576] Step 6:

[1577] A generative AI model generates the best spot information for the user. The generative AI model generates spot information based on the input prompt. For example, it can suggest restaurants or entertainment venues based on a specific location and emotional state. The input is the prompt, and the output is the generated spot information.

[1578] Step 7:

[1579] The server sends the generated spot information to the terminal. The server then sends the generated spot information to the terminal via a communication means. Specifically, data is communicated using an API endpoint. The input is the generated spot information, and the output is the data sent to the terminal.

[1580] Step 8:

[1581] The terminal displays the received spot information. The terminal displays the received data on a display. Specifically, information such as the spot name, address, and rating is displayed on the user interface. Navigation links and phone numbers may also be displayed. The input is the spot information received from the server, and the output is a display that the user can visually confirm.

[1582] 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.

[1583] 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.

[1584] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1585] 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.

[1586] 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.

[1587] 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.

[1588] 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).

[1589] 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.

[1590] 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."

[1591] 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.

[1592] 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).

[1593] 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.

[1594] 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.

[1595] 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.

[1596] 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.

[1597] 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.

[1598] 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.

[1599] 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.

[1600] 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.

[1601] 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.

[1602] 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.

[1603] The following is further disclosed regarding the above embodiment.

[1604] (Claim 1)

[1605] location information acquisition means for identifying the current location of the terminal;

[1606] A communication means for transmitting the acquired location information to a server;

[1607] a server means having a generative artificial intelligence model for generating relevant tourist spot information based on the user's current location;

[1608] a communication means for transmitting the generated tourist spot information to the terminal;

[1609] The system includes a display means for displaying tourist spot information received by the terminal.

[1610] (Claim 2)

[1611] The system of claim 1, wherein the generative artificial intelligence model identifies tourist attractions related to history, subculture, culture, and cuisine.

[1612] (Claim 3)

[1613] 2. The system according to claim 1, wherein the generative artificial intelligence model has the ability to generate tourist spot information in multiple languages.

[1614] "Example 1"

[1615] (Claim 1)

[1616] location information acquisition means;

[1617] A communication means for transmitting the acquired location information to a server;

[1618] a server means comprising a generative machine learning model for generating relevant place information based on a user's current location;

[1619] a communication means for transmitting the generated location information to a terminal;

[1620] The system includes a display means for displaying the location information received at the terminal.

[1621] (Claim 2)

[1622] 10. The system of claim 1, wherein the generative machine learning model identifies places associated with history, subculture, culture, and food.

[1623] (Claim 3)

[1624] 10. The system of claim 1, wherein the generative machine learning model has the ability to generate place information in multiple languages.

[1625] "Application Example 1"

[1626] (Claim 1)

[1627] location information acquisition means for identifying the current location of the terminal;

[1628] A communication means for transmitting the acquired location information to a server;

[1629] a server means having a generative artificial intelligence model for generating relevant tourist spot information based on the user's current location;

[1630] a communication means for transmitting the generated tourist spot information to the terminal;

[1631] a display means for displaying the tourist spot information received by the terminal;

[1632] a voice guidance means for providing information about tourist spots received by the voice assistant;

[1633] A system that is integrated into the infotainment system of an autonomous vehicle.

[1634] (Claim 2)

[1635] The system of claim 1, wherein the generative artificial intelligence model identifies tourist attractions related to history, subculture, culture, and cuisine.

[1636] (Claim 3)

[1637] 2. The system according to claim 1, wherein the generative artificial intelligence model has the ability to generate tourist spot information in multiple languages.

[1638] "Example 2: Combining Emotion Engines"

[1639] (Claim 1)

[1640] location information acquisition means for identifying the current location of the terminal;

[1641] A communication means for transmitting the acquired location information to a server;

[1642] a server means including an emotion recognition means and a generating artificial intelligence model for generating relevant tourist spot information based on the user's current location and emotion data;

[1643] a communication means for transmitting the generated tourist spot information to the terminal;

[1644] The system includes a display means for displaying tourist spot information received by the terminal.

[1645] (Claim 2)

[1646] The system of claim 1, wherein the generative artificial intelligence model identifies tourist attractions related to history, subculture, culture, and cuisine.

[1647] (Claim 3)

[1648] 2. The system according to claim 1, wherein the generative artificial intelligence model has the ability to generate tourist spot information in multiple languages.

[1649] "Application example 2 when combining emotion engines"

[1650] (Claim 1)

[1651] location information acquisition means for identifying the current location of the terminal;

[1652] A communication means for transmitting the acquired location information to a server;

[1653] a server means having a generative artificial intelligence model for generating relevant spot information based on a user's current location and emotional state;

[1654] a communication means for transmitting the generated spot information to a terminal;

[1655] The system includes a display means for displaying spot information received by the terminal.

[1656] (Claim 2)

[1657] The system of claim 1, wherein the generative artificial intelligence model identifies spots related to dining, entertainment, and culture.

[1658] (Claim 3)

[1659] The system according to claim 1, characterized in that the generative artificial intelligence model has the ability to generate spot information in multiple languages. [Explanation of symbols]

[1660] 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. location information acquisition means for identifying the current location of the terminal; A communication means for transmitting the acquired location information to a server; a server means having a generative artificial intelligence model for generating relevant tourist spot information based on the user's current location; a communication means for transmitting the generated tourist spot information to the terminal; The system includes a display means for displaying tourist spot information received by the terminal.

2. The system of claim 1, wherein the generative artificial intelligence model identifies tourist attractions related to history, subculture, culture, and cuisine.

3. The system of claim 1 , wherein the generative artificial intelligence model has the capability of generating tourist spot information in multiple languages.

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