system

Abstract

A system is provided.SOLUTION: A system including means for analyzing an inquiry from a user by using a generated AI model and automatically generating a personalized sightseeing tour plan, means for optimizing the sightseeing tour plan based on features of a guide registered in a guide database and requesting a final confirmation from the guide, and means for acquiring current position information by using a global positioning system (GPS) by a terminal of the user, automatically activating a double character guide at a timing when the terminal reaches a sightseeing place based on the position information, and providing sightseeing guidance.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] In recent years, as the COVID-19 pandemic subsided, the number of tourists visiting Japan has increased, but securing tour guides who can speak foreign languages ​​remains a challenge. Tour guides themselves also face the challenge of missing out on opportunities due to the complexity of responding to inquiries and overlapping schedules. In these circumstances, tour guides are seeking ways to reduce their workload, while tourists visiting Japan expect a high-quality guided experience. A new system is needed to meet these demands and contribute to the development of the tourism industry. [Means for solving the problem]

[0005] This invention provides a means to automatically generate personalized sightseeing tour plans by analyzing user inquiries using a generative AI model. Specifically, the generative AI model analyzes user requests and suggests appropriate tourist spots and routes based on those requests. The generated tour plans are also optimized based on the characteristics and areas of expertise of the guides registered in the guide database, with final confirmation by the guides themselves.

[0006] Furthermore, the present invention has a means for the user's device to acquire current location information using GPS and automatically activate an avatar guide when the user arrives at a tourist spot based on that location information. The avatar guide learns the guide's gestures, speaking style, and facial expressions, providing a realistic guide experience. Users can also check and customize tour plans, allowing them to enjoy a sightseeing plan that is optimal for their interests and schedule.

[0007] The above measures will reduce the workload of tour guides, increase their chances of receiving orders, and provide a high-quality guided experience to tourists visiting Japan.

[0008] The "generative AI model" is an artificial intelligence model that analyzes user inquiries and automatically generates personalized sightseeing tour plans.

[0009] A "tourist tour plan" is a travel plan that includes the spots and routes that tourists should visit.

[0010] The "guide database" is a database that stores information about tourist guides, and registers the characteristics and areas of expertise of each guide.

[0011] "Guide" means the actual person registered as a tourist guide.

[0012] A "user's terminal" is a device such as a smartphone or tablet owned by a user.

[0013] "GPS" stands for Global Positioning System, a satellite navigation system for determining your current location.

[0014] The "avatar guide" is a virtual guide created by artificial intelligence that has learned the gestures, speaking style, and facial expressions of the guide himself.

[0015] "Tourist information" is a service that provides information on tourist destinations, their historical background, and attractions.

[0016] "Real Guide Experience" is a service that provides an experience similar to that of a real tourist guide.

[0017] "Customization" refers to users adjusting and changing their sightseeing tour plans to suit their own interests and schedules. [Brief explanation of the drawings]

[0018] [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

[0019] 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.

[0020] First, the terms used in the following description will be explained.

[0021] 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).

[0022] 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.

[0023] 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.

[0024] 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.

[0025] 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."

[0026] [First embodiment]

[0027] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0028] 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.

[0029] 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).

[0030] 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.

[0031] 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.

[0032] 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.

[0033] 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.

[0034] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0035] 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.

[0036] 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.

[0037] 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.

[0038] 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."

[0039] This invention relates to a system that uses a generative AI model to analyze user inquiries and automatically generate personalized sightseeing tour plans. This system was developed to reduce the workload of tour guides and provide a high-quality guided experience to tourists visiting Japan.

[0040] Server-side processing

[0041] The server receives inquiries from users and analyzes their requests using the generative AI model. For example, if a user asks, "Please tell me about tourist spots in Kyoto," the server analyzes the request and extracts keywords. Based on the extracted keywords, the generative AI model automatically generates tourist spots and routes. Specifically, a tour plan including Kinkaku-ji Temple, Nijo Castle, Kiyomizu-dera Temple, etc. is created.

[0042] Next, the server selects an appropriate guide from among those registered in the guide database. It optimizes the tour plan based on the guide's characteristics and areas of expertise, and requests the guide for final confirmation. For example, a guide who is "expert on history" is selected, and the tour plan is adjusted to reflect that guide's characteristics. This tour plan is sent to the guide, who, after approval, begins preparations for the avatar guide.

[0043] Terminal side processing

[0044] The user's device uses GPS to collect current location information and sends it to the server. When the user reaches a designated tourist spot, the device automatically activates an avatar guide. The avatar guide learns the guide's gestures, speaking style, and facial expressions, providing a realistic guided experience. For example, when the user arrives at Kinkakuji Temple, the device automatically activates an avatar guide who explains the temple's history and highlights.

[0045] User operations

[0046] The user can review the generated tour plan and customize it as needed. For example, the user may request to exclude Nijo Castle and add a walk around Gion instead. Based on the user's request, the tour plan will be regenerated and presented to the user.

[0047] Users can also interact with the avatar guide while sightseeing. They can ask the avatar guide for additional information or questions. For example, if you are at Kiyomizu-dera Temple and ask, "Tell me about the architectural style of this temple," the avatar guide will provide that information in real time.

[0048] In this way, the system of this invention utilizes generative AI models, GPS, and avatar guides to provide an efficient and personalized tour guide experience, reducing the workload of tour guides and providing a highly satisfying service for tourists visiting Japan.

[0049] The processing flow will be explained below.

[0050] Step 1:

[0051] The server receives a query from the user. For example, if the user sends a request such as "Please tell me about tourist spots in Kyoto," the server receives this request.

[0052] Step 2:

[0053] The server uses the generated AI model to analyze the user's request, and extracts keywords (e.g., "Kyoto," "tourist spots," "historical places").

[0054] Step 3:

[0055] The server uses the generated AI model to obtain tourist spot information based on keywords (e.g., Kinkaku-ji Temple, Nijo Castle, Kiyomizu-dera Temple) and automatically generate a tour plan.

[0056] Step 4:

[0057] The server retrieves a list of relevant guides from the guide database, references the characteristics and areas of expertise of each guide, and selects the most suitable guide.

[0058] Step 5:

[0059] The server reflects the characteristics of the guide selected by the server in the tour plan, optimizing the explanation of tourist spots and routes. For example, it adjusts a tour plan rich in historical background based on a guide who is "knowledgeable about history."

[0060] Step 6:

[0061] The server sends the generated tour plan to the guide for final confirmation, who then checks and approves the plan.

[0062] Step 7:

[0063] The server prepares the avatar guide based on the approved tour plan. It learns the guide's gestures, speaking style, facial expressions, etc., and generates an avatar guide program.

[0064] Step 8:

[0065] The device uses the GPS sensor to obtain its current location, and periodically sends this information to the server to determine its location in real time.

[0066] Step 9:

[0067] When the device arrives at a tourist spot, the avatar guide will automatically launch. For example, when you arrive at Kinkakuji Temple, the avatar guide will explain the temple's highlights and history.

[0068] Step 10:

[0069] The user can view and customize the generated tour plan on their device, excluding specific spots or sending requests to add new spots.

[0070] Step 11:

[0071] The server regenerates the tour plan based on the user's request and provides the latest plan to the user.

[0072] Step 12:

[0073] While sightseeing, users can ask the avatar guide for additional information or questions. When questions are input via voice or text through the device, the avatar guide responds in real time.

[0074] Through these steps, the server, terminal, and user can work together to provide an efficient and personalized tourist guide experience.

[0075] Example 1

[0076] 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."

[0077] Conventional tourist guides are not personalized for users and often only provide standard tour plans. Furthermore, guides must deal with a large number of tourists, which is labor-intensive and results in inconsistent quality. Furthermore, it is often difficult to respond in real time when users ask questions or request changes during the tour. To solve these problems, a system that can respond to users' individual requests and interact with them in real time was needed.

[0078] 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.

[0079] In this invention, the server includes means for analyzing inquiries from users using a generative AI model and automatically generating a personalized sightseeing tour plan, means for optimizing the sightseeing tour plan based on the characteristics of the guide registered in the guide database and requesting final confirmation from the guide himself, means for the user's device to acquire current location information using GPS and automatically launch a virtual guide when the user arrives at a tourist destination based on the location information to provide sightseeing guidance, means for allowing the user to customize the generated tour plan and presenting a regenerated tour plan, and means for responding to additional information and questions through interaction with the user during sightseeing, thereby making it possible to provide a high-quality, real-time sightseeing guide experience that meets individual needs.

[0080] A "generative AI model" is an algorithm or system that uses artificial intelligence technology to analyze input data and generate information or content that meets a specific purpose.

[0081] A "personalized sightseeing tour plan" is a proposal of specific sightseeing routes and activities based on the user's individual tastes, interests and requests.

[0082] The "guide database" is a database in which information about multiple guides is registered, and is a collection of data including information such as the characteristics and areas of expertise of the guides.

[0083] A "virtual guide" is a digital assistant that uses artificial intelligence and virtual reality technology to provide tourist information as an alternative to a real guide.

[0084] "User Device" means a computing device carried or used by a User, such as a smartphone, tablet, or personal computer.

[0085] "GPS" stands for Global Positioning System, a satellite navigation system for determining your current location on Earth.

[0086] "Customizing a tour plan" means making modifications to the initial tour plan to suit the user's wishes and desires.

[0087] "Tourist information" refers to the act of providing information about tourist destinations and their surrounding areas, including explanations, historical background, attractions, and experiential activities.

[0088] "Interaction" refers to the process or action of exchanging information between a user and a system, and specifically includes responding to questions and providing additional information.

[0089] This invention relates to a system that uses a generative AI model to analyze user inquiries and automatically generate personalized sightseeing tour plans. The purpose of this system is to reduce the workload of tour guides and provide tourists with a high-quality guided experience.

[0090] First, the server receives a query from a user. Specifically, the server obtains text data entered by the user via the Internet. For example, if a query such as "Please tell me about tourist spots in Kyoto" is entered, the server receives this text.

[0091] Next, the server uses a generative AI model (e.g., GPT-4 (registered trademark)) to analyze the received inquiry. The server analyzes the text data and extracts keywords such as "Kyoto" and "tourist spots." Through this analysis, the server understands the user's intent and suggests appropriate tourist spots.

[0092] The server then automatically generates tourist spots and routes based on the extracted keywords. For example, the server generates a tour plan that includes Kinkaku-ji Temple, Nijo Castle, Kiyomizu-dera Temple, etc. This generated tour plan includes a series of tourist spots and their routes.

[0093] The server then references the guide database and selects the most suitable guide from among the registered guides. The guide database contains information such as the guide's characteristics, areas of expertise, and past reviews. For example, a guide who is "expert on history" may be selected. The server then requests the selected guide to make a final confirmation of the tour plan.

[0094] The user's device uses GPS to obtain their current location information. For example, when the user arrives at Kinkakuji Temple, the device sends that location information to the server. Based on this information, the server automatically launches a virtual guide when the user arrives at a tourist spot. The virtual guide learns the guide's gestures, speaking style, and facial expressions, providing a realistic guided experience. For example, after arriving at Kinkakuji Temple, the virtual guide plays audio and video explaining the temple's history and highlights.

[0095] Furthermore, the user can review the generated tour plan and customize it as needed. For example, if the user requests to remove Nijo Castle from the tour plan and add Gion instead, the server will receive this request and regenerate a new tour plan. This regenerated tour plan will be presented to the user.

[0096] While sightseeing, users can interact with the virtual guide for additional information or to answer questions. For example, while at Kiyomizu-dera Temple, users can ask, "Tell me about the architectural style of this temple," and the virtual guide will provide that information in real time.

[0097] Example prompt sentence:

[0098] User's question: "What are some tourist spots in Kyoto?"

[0099] Server analysis results: "Kyoto" "Tourist spots"

[0100] Generated tour plan: "Kinkaku-ji Temple, Nijo Castle, Kiyomizu-dera Temple"

[0101] Guide's special feature: "Knowledgeable about history"

[0102] User customization: "Exclude Nijo Castle and add Gion"

[0103] In this way, the present invention utilizes generative AI models, GPS, and virtual guides to provide an efficient and personalized tourist guide experience, reducing the workload of tour guides and providing a service that is highly satisfying for tourists.

[0104] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0105] Step 1:

[0106] The server receives a query from the user. When the user types "Please tell me about tourist spots in Kyoto" and presses the send button, the text data is sent to the server. This input data is received by the server in raw text format.

[0107] Specific behavior:

[0108] Open the app on the user's device and enter the inquiry.

[0109] Pressing the send button sends the text data to the server.

[0110] The server stores the received text data.

[0111] Step 2:

[0112] The server uses a generative AI model (e.g., GPT-4) to analyze the text of the received inquiry. Keywords such as "Kyoto" and "tourist spots" are extracted from the input text. This data analysis allows the server to accurately understand the user's intent.

[0113] Specific behavior:

[0114] The server inputs the text data into the generative AI model.

[0115] The generative AI model uses natural language processing to extract keywords.

[0116] The extracted keywords are stored on the server.

[0117] Step 3:

[0118] The server automatically generates tourist spots and routes based on the extracted keywords. Specifically, a tour plan is generated that includes Kinkaku-ji Temple, Nijo Castle, Kiyomizu-dera Temple, etc. The tour plan also includes the optimal route to each tourist spot.

[0119] Specific behavior:

[0120] The server searches the tourist spot database based on keywords.

[0121] Obtain information on related tourist spots and generate tour plans.

[0122] The generated tour plan is stored on the server.

[0123] Step 4:

[0124] The server refers to the guide database and selects the most suitable guide from among the registered guides. Based on the guide's characteristics (e.g., knowledge of history) and areas of expertise, the server optimizes the tour plan and requests the guide for final confirmation.

[0125] Specific behavior:

[0126] The server queries the guide database for requirements related to the tour plan.

[0127] Select the most suitable guide based on the characteristics and ratings of each guide.

[0128] Ask the selected guide to confirm the tour plan.

[0129] Step 5:

[0130] The user's device uses GPS to obtain their current location information and sends it to the server, which then uses it to launch the virtual guide when they arrive at a tourist spot.

[0131] Specific behavior:

[0132] The device's GPS function collects location information.

[0133] The collected location information is sent to a server.

[0134] The server analyzes the location information and identifies the destination.

[0135] Step 6:

[0136] When the user arrives at the designated tourist spot, the device automatically launches a virtual guide, who provides sightseeing guidance based on the information learned in advance to provide a realistic guided experience.

[0137] Specific behavior:

[0138] The device detects that you have reached a tourist spot.

[0139] Automatically launches the virtual guide app.

[0140] Virtual guides provide audio and video tours.

[0141] Step 7:

[0142] The user can review the generated tour plan and customize it as needed. For example, if the user requests to "exclude Nijo Castle and add a stroll around Gion," the tour plan will be regenerated based on the request and presented to the user.

[0143] Specific behavior:

[0144] The user enters customization information on the tour plan confirmation screen.

[0145] A request is sent to the server and a new tour plan is generated.

[0146] The regenerated tour plan is sent to the user's terminal and displayed.

[0147] Step 8:

[0148] While sightseeing, users can interact with the virtual guide for additional information or to answer questions. For example, while at Kiyomizu-dera Temple, users can ask, "Tell me about the architectural style of this temple," and the virtual guide will provide that information in real time.

[0149] Specific behavior:

[0150] Users type questions into the virtual guide.

[0151] The question is sent to the server and analyzed.

[0152] The virtual guide generates an answer and responds to the user.

[0153] (Application example 1)

[0154] 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."

[0155] A challenge with traditional tourism services is that creating tour plans and arranging guides requires a great deal of time and effort. It's also difficult to provide a personalized tourism experience tailored to each visitor, and in many cases, only general information is available. While tourism experiences in virtual environments are also advancing, there are still insufficient means to recreate a real guided experience. Furthermore, tour plans are often fixed and cannot be flexibly customized, making it difficult to fully meet the needs of visitors.

[0156] 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.

[0157] In this invention, the server includes means for analyzing inquiries from users using a generative AI model and automatically generating a personalized sightseeing tour plan, means for optimizing the sightseeing tour plan based on the characteristics of experts registered in a database and requesting final confirmation from the expert, means for the user's device to acquire current location information using location information acquisition means and automatically activate an avatar guide and provide information when the user reaches a specified point based on the location information, and means for providing information in a virtual environment based on the generated plan, thereby making it possible to efficiently provide visitors with a personalized, high-quality sightseeing experience.

[0158] A "generative AI model" is an artificial intelligence algorithm that analyzes inquiries from users and automatically generates optimal proposals and plans tailored to each user.

[0159] A "database" is a collection of systematic data that stores expert and related information and allows for searching and referencing.

[0160] An "expert" is an individual or group with advanced knowledge or skills in a particular field.

[0161] "Location information acquisition means" refers to a system that uses GPS or other location measurement technology to accurately acquire the user's current location.

[0162] The "avatar guide" is a virtual character that learns the gestures, speaking style, and facial expressions of the expert himself / herself, providing a realistic guide experience.

[0163] A "virtual environment" is a computer-generated virtual space in which users can experience the sensation of actually being in the environment through sight, hearing, etc.

[0164] A "personalized sightseeing tour plan" is a travel plan that includes sightseeing routes and attractions that are individually tailored to the user's preferences and interests.

[0165] "Information provision means" refers to a system or method for transmitting information to users according to their purpose at an appropriate time.

[0166] The system for realizing the present invention is configured by combining various types of hardware and software.

[0167] Server-side processing

[0168] The server includes the following means:

[0169] 1. Analyzing inquiries using a generative AI model: The server receives inquiries from users and analyzes their content using a generative AI model. This generative AI model uses natural language processing technology to extract the intent of the inquiry and important keywords. For example, if a user requests a virtual tour of Kyoto via voice or text, the server will extract keywords such as "Kyoto" and "virtual tour."

[0170] 2. A method for generating personalized sightseeing tour plans: Based on the extracted keywords, the server automatically generates tourist spots and routes. This generation utilizes the characteristics and planning information of experts registered in the database. For example, the generated plan includes tourist spots such as Kinkakuji Temple, Nijo Castle, and Kiyomizu-dera Temple.

[0171] 3. Request for final review: The generated tour plan is sent to the experts registered in the database for final review and optimization. The experts will review the plan details, make any necessary corrections, and then approve it.

[0172] Terminal side processing

[0173] The terminal includes the following means:

[0174] 1. Location information acquisition means: The user's device (e.g., a smartphone or head-mounted display) uses a location information acquisition means (such as GPS) to collect current location information. This information is sent to the server.

[0175] 2. Method of activating the avatar guide and providing information: When the user arrives at a specified location, the device automatically activates the avatar guide and provides detailed information about that location. The avatar guide learns the expert's gestures, speaking style, and facial expressions, providing a realistic and interactive guide experience. For example, when the user arrives at Kinkaku-ji Temple, it can instantly respond to questions such as, "Please tell me about the history of this building."

[0176] 3. Means of providing information in a virtual environment: The generated plan can be experienced in a virtual environment. Using a smartphone or a head-mounted display, users can obtain information about tourist spots as if they were actually there. For example, by using a device such as Oculus Quest, users can enjoy a highly immersive virtual tour of Kinkaku-ji Temple or Kiyomizu-dera Temple.

[0177] Usage example

[0178] Examples of prompts include:

[0179] "I'm currently at Kyoto Station. I'd like a sightseeing route including Kinkakuji Temple, Nijo Castle, and Kiyomizu-dera Temple, in 15-minute increments."

[0180] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0181] Step 1:

[0182] Receiving user inquiries

[0183] Input: The user inputs a prompt sentence such as "Please give me a virtual tour of Kyoto" through a smartphone or head-mounted display.

[0184] Processing: The terminal sends this prompt to the server.

[0185] Output: The prompt text arrives at the server.

[0186] Step 2:

[0187] Query Analysis

[0188] Input: The prompt text received by the server.

[0189] Processing: The server uses a generative AI model to analyze the prompt, specifically extracting important keywords (e.g., "Kyoto" or "virtual tour") using natural language processing.

[0190] Output: Extracted keywords.

[0191] Step 3:

[0192] Generate personalized tour plans

[0193] Input: Extracted keywords.

[0194] Processing: The server generates a personalized tour plan based on keywords, using the registered expert's characteristics and planning information, and referring to tourist spot information in the database (e.g., Kinkaku-ji Temple, Nijo Castle, Kiyomizu-dera Temple).

[0195] Output: Generated personalized sightseeing tour plan.

[0196] Step 4:

[0197] Optimize and finalize the tour plan

[0198] Input: The generated personalized sightseeing tour plan.

[0199] Processing: The server sends the generated tour plan to the experts registered in the database for optimization and final confirmation. The experts review the tour plan and make any necessary corrections.

[0200] Output: Final confirmed tour plan.

[0201] Step 5:

[0202] Obtaining location information

[0203] Input: The user's device uses a location information acquisition method such as GPS.

[0204] Processing: The device acquires the user's current location information and sends it to the server.

[0205] Output: Current location information.

[0206] Step 6:

[0207] Determine when a specific location has been reached and activate the ghost guide

[0208] Input: Current location and last confirmed tour plan.

[0209] Processing: The server determines whether the user has reached a specified point in the tour plan. If so, it sends a command to start the avatar guide to the terminal. The terminal starts the avatar guide and provides detailed information about the point.

[0210] Output: Information provided by avatar guidance.

[0211] Step 7:

[0212] Providing information in a virtual environment

[0213] Input: Final confirmed tour plan and avatar guide information.

[0214] Processing: The device provides information according to the tour plan in a virtual environment. The user experiences the virtual tour through their eyes and ears using a head-mounted display or other device.

[0215] Output: Tourist information in a virtual environment.

[0216] Step 8:

[0217] User Interaction and Customization

[0218] Input: The user's question or request for the avatar guide (e.g., "What is the history of this building?").

[0219] Processing: The device sends the user's request to the server, where the generative AI model analyzes it in real time and customizes the tour plan as needed.

[0220] Output: A customized tour plan with detailed information provided in real time.

[0221] 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.

[0222] This invention relates to a system that analyzes user inquiries and automatically generates personalized sightseeing tour plans. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, it provides a higher quality and adaptive sightseeing guide experience.

[0223] Server-side processing

[0224] The server receives inquiries from users and analyzes their requests using a generative AI model. The request content is analyzed and keywords (e.g., "Kyoto," "tourist spots," "historical places") are extracted. The generative AI model obtains tourist spot information based on the keywords and automatically generates a tour plan. At the same time, the emotion engine analyzes the user's emotional data and further optimizes the optimal tour plan based on their emotions.

[0225] Next, the server retrieves a list of relevant guides from the guide database. It selects the most suitable guide based on their areas of expertise and characteristics, and tailors the tour plan to reflect their characteristics. For example, it creates a tour plan with a rich historical background based on a guide who is "expert in history." This tour plan is sent to the guide himself, who then confirms and approves it before preparing the avatar guide.

[0226] Terminal side processing

[0227] The user's device uses GPS to collect current location information and sends it to a server. When the user arrives at a tourist spot, the device automatically activates an avatar guide. The avatar guide learns the guide's gestures, speaking style, and facial expressions to provide a realistic guided experience. In addition, an emotion engine analyzes the user's facial expressions and tone of voice in real time, and the avatar guide dynamically adjusts the content and tone of the guidance based on the results. For example, if the user shows interest, the avatar guide will provide detailed explanations, but if it appears bored, it will provide a more basic explanation.

[0228] User operations

[0229] The user can view the generated tour plan on their device and customize it as needed. If they send a request to the server to exclude specific spots or add new spots, the server will regenerate the tour plan based on the request and provide the updated plan to the user.

[0230] While sightseeing, users can ask the avatar guide for additional information or questions. When questions are input via voice or text through the device, the avatar guide will respond in real time. Furthermore, an emotion engine analyzes the user's emotional data, and the content and tone of the response are flexibly adjusted according to the user's emotions. For example, a user who looks anxious will be given explanations in a friendly tone, while a user who is relaxed will be given a detailed explanation.

[0231] Specific examples

[0232] For example, if a user asks, "What are the best tourist spots in Kyoto?", the generative AI model analyzes the request and suggests a tour plan that includes Kinkaku-ji Temple, Nijo Castle, and Kiyomizu-dera Temple. The emotion engine analyzes the user's facial expressions and, if the user is excited, prioritizes particularly popular spots in the plan. When the user arrives at Kinkaku-ji Temple, the avatar guide explains the temple's history and highlights, but the emotion engine detects the user's interests and provides more detailed historical information.

[0233] In this way, the system of this invention combines generative AI models, GPS, avatar guides, and emotion engines to provide an efficient and adaptive tour guide experience, reducing the workload of tour guides and providing a service that is highly satisfying for tourists visiting Japan.

[0234] The processing flow will be explained below.

[0235] MODE FOR CARRYING OUT THE INVENTION

[0236] The specific processing steps for implementing (Claim 4) to (Claim 6) are as follows.

[0237] Step 1:

[0238] The server receives a query from the user. For example, if the user sends a request such as "What are the recommended tourist spots in Kyoto?", the server receives this request.

[0239] Step 2:

[0240] The server uses the generated AI model to analyze the user's request, and extracts keywords (e.g., "Kyoto," "tourist spots," "historical places").

[0241] Step 3:

[0242] The server uses the AI ​​model to obtain tourist spot information based on keywords and automatically generate a tour plan, such as a tour plan including Kinkaku-ji Temple, Nijo Castle, and Kiyomizu-dera Temple.

[0243] Step 4:

[0244] The server uses an emotion engine to analyze the user's emotions. For example, it extracts emotional data (excitement, joy, anxiety, etc.) from the facial photograph and voice recorded by the user when sending the message.

[0245] Step 5:

[0246] The server optimizes the generated tour plan based on the emotion engine. For example, if the user is excited, it will prioritize the most popular spots in the plan.

[0247] Step 6:

[0248] The server retrieves a list of relevant guides from the guide database, references the characteristics and areas of expertise of each guide, and selects the most suitable guide.

[0249] Step 7:

[0250] The server reflects the characteristics of the selected guide in the tour plan, optimizing the explanation of tourist spots and routes, and then sends the tour plan to the guide for confirmation and approval.

[0251] Step 8:

[0252] The server prepares the avatar guide based on the approved tour plan. It learns the guide's gestures, speaking style, facial expressions, etc., and generates an avatar guide program.

[0253] Step 9:

[0254] The device uses the GPS sensor to obtain its current location, and periodically sends this information to the server to determine its location in real time.

[0255] Step 10:

[0256] When the device arrives at a tourist spot, the avatar guide will automatically launch. For example, when you arrive at Kinkakuji Temple, the avatar guide will explain the temple's highlights and history.

[0257] Step 11:

[0258] The device uses an emotion engine to analyze the user's emotions in real time. For example, it uses a camera to analyze the user's facial expressions to determine whether they are excited or bored.

[0259] Step 12:

[0260] The avatar guide dynamically adjusts the content and tone of the guidance based on the analyzed emotional data. For example, if the user shows interest, it will provide detailed explanations, but if it appears bored, it will provide a more focused explanation.

[0261] Step 13:

[0262] The user can review the generated tour plan on their device and customize it as needed, for example, by submitting a request to exclude specific spots or add new spots.

[0263] Step 14:

[0264] The server regenerates the tour plan based on the user's request and provides the latest plan to the user.

[0265] Step 15:

[0266] While sightseeing, users can ask the avatar guide for additional information or questions. When questions are input via voice or text through the device, the avatar guide responds in real time.

[0267] Step 16:

[0268] The device analyzes emotional data in real time and flexibly adjusts the content and tone of responses according to the user's emotions. For example, it will explain things in a friendly tone to a user who looks anxious, and provide a detailed explanation to a user who is relaxed.

[0269] This allows the server, terminal, and user to work together to provide an efficient and personalized tourist guide experience.

[0270] Example 2

[0271] 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."

[0272] Conventional tourist guide systems often provide uniform tour plans and guide content, making it difficult to adapt to the individual needs and current circumstances of users. Furthermore, they lack the ability to dynamically adjust the guide content based on the user's emotions and reactions, making it difficult to provide a high-quality personalized experience. Therefore, there is a need to improve user satisfaction and reduce the workload of tour guides.

[0273] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes: means for analyzing inquiries from users using a generative AI model and automatically generating a personalized sightseeing tour plan; means for optimizing the sightseeing tour plan based on the characteristics of the guide registered in the guide information database and requesting final confirmation from the guide himself; means for the user's terminal to acquire current location information using a location information system and automatically launch a virtual guide when the user arrives at a tourist destination based on the location information to provide tourist information; and means for analyzing the user's emotions using emotion data analysis means and dynamically adjusting the sightseeing tour plan and guidance content based on the analysis results. This makes it possible to provide a high-quality, adaptive sightseeing guide experience that meets the individual needs and emotions of the user.

[0274] A "generative AI model" is an algorithm that uses artificial intelligence to analyze user inquiries and generate information.

[0275] A "personalized sightseeing tour plan" is a travel plan that is customized based on the individual needs and preferences of the user.

[0276] A "guide information database" is a database that stores information about tourist guides.

[0277] "Guide characteristics" refer to the guide's individual attributes, such as his or her areas of expertise, expertise, and style.

[0278] "Location Information System" means any technology or device that measures, tracks, or displays geographic location.

[0279] A "virtual guide" is software or hardware that mimics the gestures, speaking style, and facial expressions of a real guide, providing a realistic guided experience.

[0280] "Tourist information" refers to providing visitors with information about tourist attractions, culture, history, etc.

[0281] "Emotion data analysis means" refers to technology or equipment that analyzes a user's facial expressions and tone of voice and recognizes their emotions.

[0282] "Dynamic adjustment" refers to changing settings and plans in real time in response to changing circumstances and conditions.

[0283] "Location information" refers to geographical data that indicates a specific location using technology such as GPS.

[0284] A "query" is a series of actions or inputs that a user makes to a system to request information.

[0285] "Optimization" refers to adjusting to obtain the best results under specific conditions or constraints.

[0286] This invention is a system that uses a generative AI model to analyze user inquiries and automatically generate personalized sightseeing tour plans. Furthermore, by combining it with an emotion data analysis method that recognizes user emotions, it provides a higher quality and adaptive sightseeing guide experience.

[0287] Server-side processing

[0288] The server receives inquiries from users and analyzes their requests using a generative AI model. Specifically, a common generative language model (e.g., GPT-4) is used as the generative AI model to analyze the user's inquiry. Keywords such as "Kyoto," "tourist spots," and "historical places" are extracted from the inquiry. Based on the extracted keywords, related tourist spot information is retrieved from a tourist database, and a tour plan is automatically generated.

[0289] Furthermore, a general emotion analysis API (e.g., emotion analysis engine) is used as a means of analyzing emotion data. The system analyzes the user's past emotion data and optimizes the tour plan according to emotions such as excitement and interest. This allows the system to prioritize the inclusion of tourist spots and content that the user will enjoy.

[0290] Next, the server retrieves relevant guide information from the guide information database. It selects an appropriate guide based on their areas of expertise and characteristics. For example, based on a guide who is "expert in history," it adds rich historical background information to the sightseeing tour plan. This tour plan is then sent to the guide himself for confirmation and approval, and the virtual guide begins preparation.

[0291] Terminal side processing

[0292] The user's device uses a location information system (e.g., GPS) to collect current location information and transmits it to a server. When the user arrives at a tourist spot, the device automatically launches a virtual guide. The virtual guide learns the guide's gestures, speaking style, and facial expressions, providing a realistic guided experience.

[0293] Furthermore, emotion data analysis means analyzes the user's facial expressions and tone of voice in real time, and the virtual guide dynamically adjusts the content and tone of the guidance based on the results. For example, if the user shows interest, the guide will provide detailed explanations, but if the user appears bored, the guide will provide a more concise explanation.

[0294] User operations

[0295] The user can view the generated tour plan on their device and customize it as needed. If they send a request to the server to exclude specific spots or add new spots, the server will regenerate the tour plan based on the request and provide the updated plan to the user.

[0296] While sightseeing, users can ask the virtual guide for additional information or questions. When questions are input via voice or text through the terminal, the virtual guide responds in real time. Furthermore, an emotional data analysis means analyzes the user's emotional data, and the content and tone of the response are flexibly adjusted according to the user's emotions. For example, a user who looks anxious may be given an explanation in a friendly tone, while a user who is relaxed may be given a detailed explanation.

[0297] Specific examples

[0298] For example, if a user asks, "What are the best tourist spots in Kyoto?", the generative AI model will analyze the request and suggest a tour plan that includes Kinkaku-ji Temple, Nijo Castle, and Kiyomizu-dera Temple. The emotional data analysis means will analyze the user's facial expressions, and if the user is excited, it will prioritize particularly popular spots in the plan.

[0299] When the user arrives at Kinkakuji Temple, the virtual guide will explain the temple's history and highlights, while the emotional data analysis method will detect the user's interest and provide more detailed historical information.In this way, the system integrates the generative AI model, location information system (e.g., GPS), virtual guide, and emotional data analysis method to provide an efficient and adaptive tourist guide experience.

[0300] Examples of prompt statements

[0301] "What are some recommended tourist spots in Kyoto?"

[0302] "I'd like to know more about Kinkakuji Temple."

[0303] "Create a tour plan centered around historical sites."

[0304] This system reduces the workload of tour guides and provides users with a highly satisfying tourist experience.

[0305] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0306] Step 1:

[0307] The user inputs a query such as "Please tell me the recommended tourist spots in Kyoto" into the terminal. The input query is sent from the terminal to the server.

[0308] Step 2:

[0309] The server inputs the received user inquiry into the generative AI model. The generative AI model analyzes the inquiry and extracts keywords such as "Kyoto," "tourist spots," and "recommended." The extracted keywords are passed to the next processing step.

[0310] Step 3:

[0311] The server searches the tourist database based on the extracted keywords to obtain information on related tourist spots. The information on tourist spots obtained from the database is then passed to the next processing step. For example, information on tourist spots such as Kinkakuji Temple, Nijo Castle, and Kiyomizu-dera Temple is obtained.

[0312] Step 4:

[0313] The server inputs the acquired tourist spot information into the generative AI model and automatically generates a personalized sightseeing tour plan. The generated tour plan is then passed to the next processing step. For example, it may include a route that includes Kinkaku-ji Temple, Nijo Castle, and Kiyomizu-dera Temple, as well as the duration of the tour.

[0314] Step 5:

[0315] The server uses emotion data analysis means to analyze the user's past emotion data. Based on the analysis results, it optimizes the priority of tourist spots and the contents of the tour plan to suit the user's emotions. The optimized tour plan is passed to the next processing step. For example, if the user is excited, it prioritizes particularly popular spots.

[0316] Step 6:

[0317] The server retrieves a list of guides from the guide information database. Based on the retrieved guide information, the tour plan is further optimized. The tour plan is sent to the guide himself for confirmation and approval. The approved tour plan is passed to the next processing step. For example, the tour plan may be adjusted to include historical background by a guide knowledgeable in history.

[0318] Step 7:

[0319] The user's device uses the location information system to obtain current location information and sends it to the server. The obtained location information is passed to the next processing step. For example, if the user is near Kinkakuji Temple, that location information is sent.

[0320] Step 8:

[0321] When the user arrives at a tourist spot, the device automatically launches a virtual guide, who provides realistic sightseeing guidance based on the tour plan, imitating the guide's gestures, speaking style, and facial expressions.

[0322] Step 9:

[0323] The user's device transmits the user's facial expressions and tone of voice to the emotion data analysis means in real time. The emotion data analysis means analyzes this data, and the virtual guide dynamically adjusts the content and tone of the guidance. For example, if the user shows interest, the virtual guide will provide a detailed explanation, but if the user appears bored, the virtual guide will provide a more basic explanation.

[0324] Step 10:

[0325] The user checks and customizes the tour plan on the device. For example, they can send a request to the server to exclude specific spots or add new spots. The server then regenerates the tour plan using the generative AI model and provides the updated tour plan to the user.

[0326] Step 11:

[0327] During the tour, the user can input additional information or questions to the virtual guide via voice or text. The virtual guide responds in real time, flexibly adjusting the content and tone of the guidance depending on the user's emotions. For example, if a user looks anxious, the guide will explain in a friendly tone, while if a user is relaxed, the guide will provide a detailed explanation.

[0328] In this way, each step of the system works together to provide the user with the optimal tourist guide experience.

[0329] (Application example 2)

[0330] 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."

[0331] Conventional tourist guide systems were unable to adapt to users' emotions and interests, making it difficult to provide the optimal tourist experience for each individual user. It was also difficult to quickly provide individually customized tour plans in response to user inquiries. This resulted in increased workload for tour guides and reduced user satisfaction.

[0332] 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.

[0333] In this invention, the server includes means for analyzing inquiries from users using a generative AI model and automatically generating a personalized sightseeing tour plan, means for optimizing the sightseeing tour plan based on the characteristics of the guide registered in the guide database and requesting final confirmation from the guide himself, means for the user's device to acquire current location information using GPS and automatically activate an avatar guide when the user arrives at a tourist spot based on the location information to provide sightseeing guidance, and means for analyzing user emotion data and dynamically adjusting the content and tone of the sightseeing guidance according to the emotion. This makes it possible to provide an optimal tour plan for each user and provide a high-quality guide experience through real-time emotional response.

[0334] A "generative AI model" is an artificial intelligence model that analyzes user inquiries and generates personalized information.

[0335] A "guide database" is a database for storing information about tourist destinations and tour spots, as well as the characteristics and information of related guides.

[0336] The "avatar guide" is a virtual guide that learns the gestures, speaking style, and facial expressions of the actual guide, providing a realistic guided experience.

[0337] "GPS" is an abbreviation for Global Positioning System, a system for obtaining location information.

[0338] "Emotion data" is data that indicates the emotional state of the user, obtained by analyzing the user's facial expression, tone of voice, and the like.

[0339] "Tourist information" is a service that provides information about tourist destinations and tour spots.

[0340] A "personalized sightseeing tour plan" is a plan that proposes customized sightseeing routes and spots based on the individual preferences and interests of each user.

[0341] "Dynamic adjustment" means changing the content in response to the user's state and situation, which change in real time.

[0342] "Regenerating a tour plan" means recreating an existing plan based on the user's new needs or emotional state.

[0343] The system based on this invention is designed to provide a personalized sightseeing tour planning and guiding experience. The system includes a generative AI model, a guide database, an avatar guide, a GPS, and an emotion engine. Each component and its operation are described in detail below.

[0344] Server-side processing

[0345] The server receives inquiries from users and analyzes their requests using a generative AI model. The generative AI model uses natural language processing technology to analyze the request and extract keywords. For example, it can extract keywords such as "Kyoto," "tourist spots," and "historical places." Based on these keywords, it obtains tourist spot information and automatically generates a personalized sightseeing tour plan. At the same time, an emotion engine analyzes the user's emotional data and further optimizes the optimal tour plan based on their emotions.

[0346] Next, the server retrieves a list of relevant guides from the guide database. The guide database stores information about tourist destinations and tour spots, as well as the characteristics and information of the associated guides. The server selects the most suitable guide based on the guide's areas of expertise and characteristics, and adjusts the tour plan to reflect those characteristics. For example, a tour plan with a rich historical background is created based on a guide who is "expert in history." This tour plan is sent to the guide himself, who confirms and approves it, and the final plan is decided.

[0347] Terminal side processing

[0348] The user's device uses GPS to collect current location information and sends it to a server. When the user arrives at a tourist spot, the device automatically activates an avatar guide. The avatar guide is a virtual guide that has learned the guide's gestures, speaking style, and facial expressions, providing a realistic guide experience. In addition, an emotion engine analyzes the user's facial expressions and tone of voice in real time, and the avatar guide dynamically adjusts the content and tone of the guidance based on the results. For example, if the user shows interest, the avatar guide will provide detailed explanations, but if it appears bored, it will provide a more basic explanation.

[0349] User operations

[0350] Users can review the generated tour plan on their device and customize it as needed. If they send a request to the server to exclude specific spots or add new ones, the server will regenerate the tour plan based on the request and provide the user with the latest plan. During the tour, users can also ask the avatar guide additional information or questions. When questions are entered via voice or text through the device, the avatar guide will respond in real time. Furthermore, an emotion engine analyzes the user's emotional data, and the content and tone of the response are flexibly adjusted according to the user's emotions.

[0351] Examples of concrete examples and prompts

[0352] Examples:

[0353] When a user arrives at a historical temple that is one of the tourist attractions, they may request, "Please tell me more about the history of this temple." In response to this request, the generative AI model provides detailed historical information, and the emotion engine analyzes the user's interests. If the user shows interest, more specific information is provided.

[0354] Example prompt sentence:

[0355] "The user wants detailed historical information about a historic temple. Please provide a detailed explanation."

[0356] "Analyze the user's facial expressions to determine whether they are currently interested or bored."

[0357] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0358] Step 1:

[0359] The server receives a query from a user.

[0360] Input: User's inquiry (e.g., "What are some recommended tourist spots in Kyoto?")

[0361] Specific operation: The server obtains the query content for analysis and passes it to the generative AI model.

[0362] Step 2:

[0363] The server uses a generative AI model to analyze the user's inquiry and extract keywords.

[0364] Input: User's inquiry

[0365] Specific operation: The generative AI model uses natural language processing technology to extract keywords such as "Kyoto," "tourist spots," and "historical places" from the inquiry content.

[0366] Output: Extracted keywords

[0367] Step 3:

[0368] The server acquires tourist spot information based on the extracted keywords and automatically generates a personalized sightseeing tour plan.

[0369] Input: Extracted keywords

[0370] Specific operation: The server accesses the tourist spot database, collects relevant tourist spot information, and generates a tour plan.

[0371] Output: A personalized sightseeing tour plan

[0372] Step 4:

[0373] The server retrieves a list of relevant guides from a guide database and optimizes the tour plan.

[0374] Input: personalized sightseeing tour plans, guide database

[0375] Specific operation: The server adjusts the tour plan based on the information in the guide database, reflecting the guide's areas of expertise and characteristics.

[0376] Output: Optimized tour plan

[0377] Step 5:

[0378] The server then sends the optimized tour plan to the guide for confirmation and approval.

[0379] Input: Optimized tour plan

[0380] Specific operation: The server sends the tour plan to the guide and waits for approval.

[0381] Output: Guide's approved tour plan

[0382] Step 6:

[0383] The device uses GPS to collect current location information and transmits it to the server.

[0384] Input: GPS data of the device

[0385] Specific operation: The device periodically obtains location information and sends it to the server.

[0386] Output: Current location information

[0387] Step 7:

[0388] When the user arrives at a tourist spot, the device automatically launches the avatar guide.

[0389] Input: Current location of the user

[0390] Specific operation: The device detects arrival at a tourist spot based on location information and activates the avatar guide.

[0391] Output: Launching the avatar guide

[0392] Step 8:

[0393] The avatar guide provides tourist information based on the guide's own gestures, speaking style, and facial expressions.

[0394] Input: Tour plan, tourist spot information, guide characteristics data

[0395] Specific actions: The avatar guide reproduces the characteristics of the guide himself and provides commentary on tourist spots.

[0396] Output: Tourist information for the user

[0397] Step 9:

[0398] The server uses an emotion engine to analyze the user's emotion data and dynamically adjusts the content and tone of the tourist information according to the emotion.

[0399] Input: User's facial expression data, voice tone

[0400] Specific operation: The server uses the emotion engine to analyze the user's emotions in real time and provides feedback to the avatar guide.

[0401] Output: Dynamically adjusted tourist information content and tone

[0402] Step 10:

[0403] The user can check the generated tour plan on the terminal and customize it as necessary.

[0404] Input: User customization request

[0405] Specific operation: The user checks the tour plan on the terminal and inputs change requests. The server regenerates the tour plan based on the requests.

[0406] Output: Customized tour plan

[0407] 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.

[0408] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0409] 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.

[0410] [Second embodiment]

[0411] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0412] 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.

[0413] 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).

[0414] 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.

[0415] 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.

[0416] 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).

[0417] 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.

[0418] 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.

[0419] 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.

[0420] 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.

[0421] 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.

[0422] 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."

[0423] This invention relates to a system that uses a generative AI model to analyze user inquiries and automatically generate personalized sightseeing tour plans. This system was developed to reduce the workload of tour guides and provide a high-quality guided experience to tourists visiting Japan.

[0424] Server-side processing

[0425] The server receives inquiries from users and analyzes their requests using the generative AI model. For example, if a user asks, "Please tell me about tourist spots in Kyoto," the server analyzes the request and extracts keywords. Based on the extracted keywords, the generative AI model automatically generates tourist spots and routes. Specifically, a tour plan including Kinkaku-ji Temple, Nijo Castle, Kiyomizu-dera Temple, etc. is created.

[0426] Next, the server selects an appropriate guide from among those registered in the guide database. It optimizes the tour plan based on the guide's characteristics and areas of expertise, and requests the guide for final confirmation. For example, a guide who is "expert on history" is selected, and the tour plan is adjusted to reflect that guide's characteristics. This tour plan is sent to the guide, who, after approval, begins preparations for the avatar guide.

[0427] Terminal side processing

[0428] The user's device uses GPS to collect current location information and sends it to the server. When the user reaches a designated tourist spot, the device automatically activates an avatar guide. The avatar guide learns the guide's gestures, speaking style, and facial expressions, providing a realistic guided experience. For example, when the user arrives at Kinkakuji Temple, the device automatically activates an avatar guide who explains the temple's history and highlights.

[0429] User operations

[0430] The user can review the generated tour plan and customize it as needed. For example, the user may request to exclude Nijo Castle and add a walk around Gion instead. Based on the user's request, the tour plan will be regenerated and presented to the user.

[0431] Users can also interact with the avatar guide while sightseeing. They can ask the avatar guide for additional information or questions. For example, if you are at Kiyomizu-dera Temple and ask, "Tell me about the architectural style of this temple," the avatar guide will provide that information in real time.

[0432] In this way, the system of this invention utilizes generative AI models, GPS, and avatar guides to provide an efficient and personalized tour guide experience, reducing the workload of tour guides and providing a highly satisfying service for tourists visiting Japan.

[0433] The processing flow will be explained below.

[0434] Step 1:

[0435] The server receives a query from the user. For example, if the user sends a request such as "Please tell me about tourist spots in Kyoto," the server receives this request.

[0436] Step 2:

[0437] The server uses the generated AI model to analyze the user's request, and extracts keywords (e.g., "Kyoto," "tourist spots," "historical places").

[0438] Step 3:

[0439] The server uses the generated AI model to obtain tourist spot information based on keywords (e.g., Kinkaku-ji Temple, Nijo Castle, Kiyomizu-dera Temple) and automatically generate a tour plan.

[0440] Step 4:

[0441] The server retrieves a list of relevant guides from the guide database, references the characteristics and areas of expertise of each guide, and selects the most suitable guide.

[0442] Step 5:

[0443] The server reflects the characteristics of the guide selected by the server in the tour plan, optimizing the explanation of tourist spots and routes. For example, it adjusts a tour plan rich in historical background based on a guide who is "knowledgeable about history."

[0444] Step 6:

[0445] The server sends the generated tour plan to the guide for final confirmation, who then checks and approves the plan.

[0446] Step 7:

[0447] The server prepares the avatar guide based on the approved tour plan. It learns the guide's gestures, speaking style, facial expressions, etc., and generates an avatar guide program.

[0448] Step 8:

[0449] The device uses the GPS sensor to obtain its current location, and periodically sends this information to the server to determine its location in real time.

[0450] Step 9:

[0451] When the device arrives at a tourist spot, the avatar guide will automatically launch. For example, when you arrive at Kinkakuji Temple, the avatar guide will explain the temple's highlights and history.

[0452] Step 10:

[0453] The user can view and customize the generated tour plan on their device, excluding specific spots or sending requests to add new spots.

[0454] Step 11:

[0455] The server regenerates the tour plan based on the user's request and provides the latest plan to the user.

[0456] Step 12:

[0457] While sightseeing, users can ask the avatar guide for additional information or questions. When questions are input via voice or text through the device, the avatar guide responds in real time.

[0458] Through these steps, the server, terminal, and user can work together to provide an efficient and personalized tourist guide experience.

[0459] Example 1

[0460] 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."

[0461] Conventional tourist guides are not personalized for users and often only provide standard tour plans. Furthermore, guides must deal with a large number of tourists, which is labor-intensive and results in inconsistent quality. Furthermore, it is often difficult to respond in real time when users ask questions or request changes during the tour. To solve these problems, a system that can respond to users' individual requests and interact with them in real time was needed.

[0462] 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.

[0463] In this invention, the server includes means for analyzing inquiries from users using a generative AI model and automatically generating a personalized sightseeing tour plan, means for optimizing the sightseeing tour plan based on the characteristics of the guide registered in the guide database and requesting final confirmation from the guide himself, means for the user's device to acquire current location information using GPS and automatically launch a virtual guide when the user arrives at a tourist destination based on the location information to provide sightseeing guidance, means for allowing the user to customize the generated tour plan and presenting a regenerated tour plan, and means for responding to additional information and questions through interaction with the user during sightseeing, thereby making it possible to provide a high-quality, real-time sightseeing guide experience that meets individual needs.

[0464] A "generative AI model" is an algorithm or system that uses artificial intelligence technology to analyze input data and generate information or content that meets a specific purpose.

[0465] A "personalized sightseeing tour plan" is a proposal of specific sightseeing routes and activities based on the user's individual tastes, interests and requests.

[0466] The "guide database" is a database in which information about multiple guides is registered, and is a collection of data including information such as the characteristics and areas of expertise of the guides.

[0467] A "virtual guide" is a digital assistant that uses artificial intelligence and virtual reality technology to provide tourist information as an alternative to a real guide.

[0468] "User Device" means a computing device carried or used by a User, such as a smartphone, tablet, or personal computer.

[0469] "GPS" stands for Global Positioning System, a satellite navigation system for determining your current location on Earth.

[0470] "Customizing a tour plan" means making modifications to the initial tour plan to suit the user's wishes and desires.

[0471] "Tourist information" refers to the act of providing information about tourist destinations and their surrounding areas, including explanations, historical background, attractions, and experiential activities.

[0472] "Interaction" refers to the process or action of exchanging information between a user and a system, and specifically includes responding to questions and providing additional information.

[0473] This invention relates to a system that uses a generative AI model to analyze user inquiries and automatically generate personalized sightseeing tour plans. The purpose of this system is to reduce the workload of tour guides and provide tourists with a high-quality guided experience.

[0474] First, the server receives a query from a user. Specifically, the server obtains text data entered by the user via the Internet. For example, if a query such as "Please tell me about tourist spots in Kyoto" is entered, the server receives this text.

[0475] Next, the server uses a generative AI model (e.g., GPT-4) to analyze the received inquiry. The server analyzes the text data and extracts keywords such as "Kyoto" and "tourist spots." Through this analysis, the server understands the user's intent and suggests appropriate tourist spots.

[0476] The server then automatically generates tourist spots and routes based on the extracted keywords. For example, the server generates a tour plan that includes Kinkaku-ji Temple, Nijo Castle, Kiyomizu-dera Temple, etc. This generated tour plan includes a series of tourist spots and their routes.

[0477] The server then references the guide database and selects the most suitable guide from among the registered guides. The guide database contains information such as the guide's characteristics, areas of expertise, and past reviews. For example, a guide who is "expert on history" may be selected. The server then requests the selected guide to make a final confirmation of the tour plan.

[0478] The user's device uses GPS to obtain their current location information. For example, when the user arrives at Kinkakuji Temple, the device sends that location information to the server. Based on this information, the server automatically launches a virtual guide when the user arrives at a tourist spot. The virtual guide learns the guide's gestures, speaking style, and facial expressions, providing a realistic guided experience. For example, after arriving at Kinkakuji Temple, the virtual guide plays audio and video explaining the temple's history and highlights.

[0479] Furthermore, the user can review the generated tour plan and customize it as needed. For example, if the user requests to remove Nijo Castle from the tour plan and add Gion instead, the server will receive this request and regenerate a new tour plan. This regenerated tour plan will be presented to the user.

[0480] While sightseeing, users can interact with the virtual guide for additional information or to answer questions. For example, while at Kiyomizu-dera Temple, users can ask, "Tell me about the architectural style of this temple," and the virtual guide will provide that information in real time.

[0481] Example prompt sentence:

[0482] User's question: "What are some tourist spots in Kyoto?"

[0483] Server analysis results: "Kyoto" "Tourist spots"

[0484] Generated tour plan: "Kinkaku-ji Temple, Nijo Castle, Kiyomizu-dera Temple"

[0485] Guide's special feature: "Knowledgeable about history"

[0486] User customization: "Exclude Nijo Castle and add Gion"

[0487] In this way, the present invention utilizes generative AI models, GPS, and virtual guides to provide an efficient and personalized tourist guide experience, reducing the workload of tour guides and providing a service that is highly satisfying for tourists.

[0488] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0489] Step 1:

[0490] The server receives a query from the user. When the user types "Please tell me about tourist spots in Kyoto" and presses the send button, the text data is sent to the server. This input data is received by the server in raw text format.

[0491] Specific behavior:

[0492] Open the app on the user's device and enter the inquiry.

[0493] Pressing the send button sends the text data to the server.

[0494] The server stores the received text data.

[0495] Step 2:

[0496] The server uses a generative AI model (e.g., GPT-4) to analyze the text of the received inquiry. Keywords such as "Kyoto" and "tourist spots" are extracted from the input text. This data analysis allows the server to accurately understand the user's intent.

[0497] Specific behavior:

[0498] The server inputs the text data into the generative AI model.

[0499] The generative AI model uses natural language processing to extract keywords.

[0500] The extracted keywords are stored on the server.

[0501] Step 3:

[0502] The server automatically generates tourist spots and routes based on the extracted keywords. Specifically, a tour plan is generated that includes Kinkaku-ji Temple, Nijo Castle, Kiyomizu-dera Temple, etc. The tour plan also includes the optimal route to each tourist spot.

[0503] Specific behavior:

[0504] The server searches the tourist spot database based on keywords.

[0505] Obtain information on related tourist spots and generate tour plans.

[0506] The generated tour plan is stored on the server.

[0507] Step 4:

[0508] The server refers to the guide database and selects the most suitable guide from among the registered guides. Based on the guide's characteristics (e.g., knowledge of history) and areas of expertise, the server optimizes the tour plan and requests the guide for final confirmation.

[0509] Specific behavior:

[0510] The server queries the guide database for requirements related to the tour plan.

[0511] Select the most suitable guide based on the characteristics and ratings of each guide.

[0512] Ask the selected guide to confirm the tour plan.

[0513] Step 5:

[0514] The user's device uses GPS to obtain their current location information and sends it to the server, which then uses it to launch the virtual guide when they arrive at a tourist spot.

[0515] Specific behavior:

[0516] The device's GPS function collects location information.

[0517] The collected location information is sent to a server.

[0518] The server analyzes the location information and identifies the destination.

[0519] Step 6:

[0520] When the user arrives at the designated tourist spot, the device automatically launches a virtual guide, who provides sightseeing guidance based on the information learned in advance to provide a realistic guided experience.

[0521] Specific behavior:

[0522] The device detects that you have reached a tourist spot.

[0523] Automatically launches the virtual guide app.

[0524] Virtual guides provide audio and video tours.

[0525] Step 7:

[0526] The user can review the generated tour plan and customize it as needed. For example, if the user requests to "exclude Nijo Castle and add a stroll around Gion," the tour plan will be regenerated based on the request and presented to the user.

[0527] Specific behavior:

[0528] The user enters customization information on the tour plan confirmation screen.

[0529] A request is sent to the server and a new tour plan is generated.

[0530] The regenerated tour plan is sent to the user's terminal and displayed.

[0531] Step 8:

[0532] While sightseeing, users can interact with the virtual guide for additional information or to answer questions. For example, while at Kiyomizu-dera Temple, users can ask, "Tell me about the architectural style of this temple," and the virtual guide will provide that information in real time.

[0533] Specific behavior:

[0534] Users type questions into the virtual guide.

[0535] The question is sent to the server and analyzed.

[0536] The virtual guide generates an answer and responds to the user.

[0537] (Application example 1)

[0538] 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."

[0539] A challenge with traditional tourism services is that creating tour plans and arranging guides requires a great deal of time and effort. It's also difficult to provide a personalized tourism experience tailored to each visitor, and in many cases, only general information is available. While tourism experiences in virtual environments are also advancing, there are still insufficient means to recreate a real guided experience. Furthermore, tour plans are often fixed and cannot be flexibly customized, making it difficult to fully meet the needs of visitors.

[0540] 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.

[0541] In this invention, the server includes means for analyzing inquiries from users using a generative AI model and automatically generating a personalized sightseeing tour plan, means for optimizing the sightseeing tour plan based on the characteristics of experts registered in a database and requesting final confirmation from the expert, means for the user's device to acquire current location information using location information acquisition means and automatically activate an avatar guide and provide information when the user reaches a specified point based on the location information, and means for providing information in a virtual environment based on the generated plan, thereby making it possible to efficiently provide visitors with a personalized, high-quality sightseeing experience.

[0542] A "generative AI model" is an artificial intelligence algorithm that analyzes inquiries from users and automatically generates optimal proposals and plans tailored to each user.

[0543] A "database" is a collection of systematic data that stores expert and related information and allows for searching and referencing.

[0544] An "expert" is an individual or group with advanced knowledge or skills in a particular field.

[0545] "Location information acquisition means" refers to a system that uses GPS or other location measurement technology to accurately acquire the user's current location.

[0546] The "avatar guide" is a virtual character that learns the gestures, speaking style, and facial expressions of the expert himself / herself, providing a realistic guide experience.

[0547] A "virtual environment" is a computer-generated virtual space in which users can experience the sensation of actually being in the environment through sight, hearing, etc.

[0548] A "personalized sightseeing tour plan" is a travel plan that includes sightseeing routes and attractions that are individually tailored to the user's preferences and interests.

[0549] "Information provision means" refers to a system or method for transmitting information to users according to their purpose at an appropriate time.

[0550] The system for realizing the present invention is configured by combining various types of hardware and software.

[0551] Server-side processing

[0552] The server includes the following means:

[0553] 1. Analyzing inquiries using a generative AI model: The server receives inquiries from users and analyzes their content using a generative AI model. This generative AI model uses natural language processing technology to extract the intent of the inquiry and important keywords. For example, if a user requests a virtual tour of Kyoto via voice or text, the server will extract keywords such as "Kyoto" and "virtual tour."

[0554] 2. A method for generating personalized sightseeing tour plans: Based on the extracted keywords, the server automatically generates tourist spots and routes. This generation utilizes the characteristics and planning information of experts registered in the database. For example, the generated plan includes tourist spots such as Kinkakuji Temple, Nijo Castle, and Kiyomizu-dera Temple.

[0555] 3. Request for final review: The generated tour plan is sent to the experts registered in the database for final review and optimization. The experts will review the plan details, make any necessary corrections, and then approve it.

[0556] Terminal side processing

[0557] The terminal includes the following means:

[0558] 1. Location information acquisition means: The user's device (e.g., a smartphone or head-mounted display) uses a location information acquisition means (such as GPS) to collect current location information. This information is sent to the server.

[0559] 2. Method of activating the avatar guide and providing information: When the user arrives at a specified location, the device automatically activates the avatar guide and provides detailed information about that location. The avatar guide learns the expert's gestures, speaking style, and facial expressions, providing a realistic and interactive guide experience. For example, when the user arrives at Kinkaku-ji Temple, it can instantly respond to questions such as, "Please tell me about the history of this building."

[0560] 3. Means of providing information in a virtual environment: The generated plan can be experienced in a virtual environment. Using a smartphone or a head-mounted display, users can obtain information about tourist spots as if they were actually there. For example, by using a device such as Oculus Quest, users can enjoy a highly immersive virtual tour of Kinkaku-ji Temple or Kiyomizu-dera Temple.

[0561] Usage example

[0562] Examples of prompts include:

[0563] "I'm currently at Kyoto Station. I'd like a sightseeing route including Kinkakuji Temple, Nijo Castle, and Kiyomizu-dera Temple, in 15-minute increments."

[0564] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0565] Step 1:

[0566] Receiving user inquiries

[0567] Input: The user inputs a prompt sentence such as "Please give me a virtual tour of Kyoto" through a smartphone or head-mounted display.

[0568] Processing: The terminal sends this prompt to the server.

[0569] Output: The prompt text arrives at the server.

[0570] Step 2:

[0571] Query Analysis

[0572] Input: The prompt text received by the server.

[0573] Processing: The server uses a generative AI model to analyze the prompt, specifically extracting important keywords (e.g., "Kyoto" or "virtual tour") using natural language processing.

[0574] Output: Extracted keywords.

[0575] Step 3:

[0576] Generate personalized tour plans

[0577] Input: Extracted keywords.

[0578] Processing: The server generates a personalized tour plan based on keywords, using the registered expert's characteristics and planning information, and referring to tourist spot information in the database (e.g., Kinkaku-ji Temple, Nijo Castle, Kiyomizu-dera Temple).

[0579] Output: Generated personalized sightseeing tour plan.

[0580] Step 4:

[0581] Optimize and finalize the tour plan

[0582] Input: The generated personalized sightseeing tour plan.

[0583] Processing: The server sends the generated tour plan to the experts registered in the database for optimization and final confirmation. The experts review the tour plan and make any necessary corrections.

[0584] Output: Final confirmed tour plan.

[0585] Step 5:

[0586] Obtaining location information

[0587] Input: The user's device uses a location information acquisition method such as GPS.

[0588] Processing: The device acquires the user's current location information and sends it to the server.

[0589] Output: Current location information.

[0590] Step 6:

[0591] Determine when a specific location has been reached and activate the ghost guide

[0592] Input: Current location and last confirmed tour plan.

[0593] Processing: The server determines whether the user has reached a specified point in the tour plan. If so, it sends a command to start the avatar guide to the terminal. The terminal starts the avatar guide and provides detailed information about the point.

[0594] Output: Information provided by avatar guidance.

[0595] Step 7:

[0596] Providing information in a virtual environment

[0597] Input: Final confirmed tour plan and avatar guide information.

[0598] Processing: The device provides information according to the tour plan in a virtual environment. The user experiences the virtual tour through their eyes and ears using a head-mounted display or other device.

[0599] Output: Tourist information in a virtual environment.

[0600] Step 8:

[0601] User Interaction and Customization

[0602] Input: The user's question or request for the avatar guide (e.g., "What is the history of this building?").

[0603] Processing: The device sends the user's request to the server, where the generative AI model analyzes it in real time and customizes the tour plan as needed.

[0604] Output: A customized tour plan with detailed information provided in real time.

[0605] 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.

[0606] This invention relates to a system that analyzes user inquiries and automatically generates personalized sightseeing tour plans. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, it provides a higher quality and adaptive sightseeing guide experience.

[0607] Server-side processing

[0608] The server receives inquiries from users and analyzes their requests using a generative AI model. The request content is analyzed and keywords (e.g., "Kyoto," "tourist spots," "historical places") are extracted. The generative AI model obtains tourist spot information based on the keywords and automatically generates a tour plan. At the same time, the emotion engine analyzes the user's emotional data and further optimizes the optimal tour plan based on their emotions.

[0609] Next, the server retrieves a list of relevant guides from the guide database. It selects the most suitable guide based on their areas of expertise and characteristics, and tailors the tour plan to reflect their characteristics. For example, it creates a tour plan with a rich historical background based on a guide who is "expert in history." This tour plan is sent to the guide himself, who then confirms and approves it before preparing the avatar guide.

[0610] Terminal side processing

[0611] The user's device uses GPS to collect current location information and sends it to a server. When the user arrives at a tourist spot, the device automatically activates an avatar guide. The avatar guide learns the guide's gestures, speaking style, and facial expressions to provide a realistic guided experience. In addition, an emotion engine analyzes the user's facial expressions and tone of voice in real time, and the avatar guide dynamically adjusts the content and tone of the guidance based on the results. For example, if the user shows interest, the avatar guide will provide detailed explanations, but if it appears bored, it will provide a more basic explanation.

[0612] User operations

[0613] The user can view the generated tour plan on their device and customize it as needed. If they send a request to the server to exclude specific spots or add new spots, the server will regenerate the tour plan based on the request and provide the updated plan to the user.

[0614] While sightseeing, users can ask the avatar guide for additional information or questions. When questions are input via voice or text through the device, the avatar guide will respond in real time. Furthermore, an emotion engine analyzes the user's emotional data, and the content and tone of the response are flexibly adjusted according to the user's emotions. For example, a user who looks anxious will be given explanations in a friendly tone, while a user who is relaxed will be given a detailed explanation.

[0615] Specific examples

[0616] For example, if a user asks, "What are the best tourist spots in Kyoto?", the generative AI model analyzes the request and suggests a tour plan that includes Kinkaku-ji Temple, Nijo Castle, and Kiyomizu-dera Temple. The emotion engine analyzes the user's facial expressions and, if the user is excited, prioritizes particularly popular spots in the plan. When the user arrives at Kinkaku-ji Temple, the avatar guide explains the temple's history and highlights, but the emotion engine detects the user's interests and provides more detailed historical information.

[0617] In this way, the system of this invention combines generative AI models, GPS, avatar guides, and emotion engines to provide an efficient and adaptive tour guide experience, reducing the workload of tour guides and providing a service that is highly satisfying for tourists visiting Japan.

[0618] The processing flow will be explained below.

[0619] MODE FOR CARRYING OUT THE INVENTION

[0620] The specific processing steps for implementing (Claim 4) to (Claim 6) are as follows.

[0621] Step 1:

[0622] The server receives a query from the user. For example, if the user sends a request such as "What are the recommended tourist spots in Kyoto?", the server receives this request.

[0623] Step 2:

[0624] The server uses the generated AI model to analyze the user's request, and extracts keywords (e.g., "Kyoto," "tourist spots," "historical places").

[0625] Step 3:

[0626] The server uses the AI ​​model to obtain tourist spot information based on keywords and automatically generate a tour plan, such as a tour plan including Kinkaku-ji Temple, Nijo Castle, and Kiyomizu-dera Temple.

[0627] Step 4:

[0628] The server uses an emotion engine to analyze the user's emotions. For example, it extracts emotional data (excitement, joy, anxiety, etc.) from the facial photograph and voice recorded by the user when sending the message.

[0629] Step 5:

[0630] The server optimizes the generated tour plan based on the emotion engine. For example, if the user is excited, it will prioritize the most popular spots in the plan.

[0631] Step 6:

[0632] The server retrieves a list of relevant guides from the guide database, references the characteristics and areas of expertise of each guide, and selects the most suitable guide.

[0633] Step 7:

[0634] The server reflects the characteristics of the selected guide in the tour plan, optimizing the explanation of tourist spots and routes, and then sends the tour plan to the guide for confirmation and approval.

[0635] Step 8:

[0636] The server prepares the avatar guide based on the approved tour plan. It learns the guide's gestures, speaking style, facial expressions, etc., and generates an avatar guide program.

[0637] Step 9:

[0638] The device uses the GPS sensor to obtain its current location, and periodically sends this information to the server to determine its location in real time.

[0639] Step 10:

[0640] When the device arrives at a tourist spot, the avatar guide will automatically launch. For example, when you arrive at Kinkakuji Temple, the avatar guide will explain the temple's highlights and history.

[0641] Step 11:

[0642] The device uses an emotion engine to analyze the user's emotions in real time. For example, it uses a camera to analyze the user's facial expressions to determine whether they are excited or bored.

[0643] Step 12:

[0644] The avatar guide dynamically adjusts the content and tone of the guidance based on the analyzed emotional data. For example, if the user shows interest, it will provide detailed explanations, but if it appears bored, it will provide a more focused explanation.

[0645] Step 13:

[0646] The user can review the generated tour plan on their device and customize it as needed, for example, by submitting a request to exclude specific spots or add new spots.

[0647] Step 14:

[0648] The server regenerates the tour plan based on the user's request and provides the latest plan to the user.

[0649] Step 15:

[0650] While sightseeing, users can ask the avatar guide for additional information or questions. When questions are input via voice or text through the device, the avatar guide responds in real time.

[0651] Step 16:

[0652] The device analyzes emotional data in real time and flexibly adjusts the content and tone of responses according to the user's emotions. For example, it will explain things in a friendly tone to a user who looks anxious, and provide a detailed explanation to a user who is relaxed.

[0653] This allows the server, terminal, and user to work together to provide an efficient and personalized tourist guide experience.

[0654] Example 2

[0655] 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."

[0656] Conventional tourist guide systems often provide uniform tour plans and guide content, making it difficult to adapt to the individual needs and current circumstances of users. Furthermore, they lack the ability to dynamically adjust the guide content based on the user's emotions and reactions, making it difficult to provide a high-quality personalized experience. Therefore, there is a need to improve user satisfaction and reduce the workload of tour guides.

[0657] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes: means for analyzing inquiries from users using a generative AI model and automatically generating a personalized sightseeing tour plan; means for optimizing the sightseeing tour plan based on the characteristics of the guide registered in the guide information database and requesting final confirmation from the guide himself; means for the user's terminal to acquire current location information using a location information system and automatically launch a virtual guide when the user arrives at a tourist destination based on the location information to provide tourist information; and means for analyzing the user's emotions using emotion data analysis means and dynamically adjusting the sightseeing tour plan and guidance content based on the analysis results. This makes it possible to provide a high-quality, adaptive sightseeing guide experience that meets the individual needs and emotions of the user.

[0658] A "generative AI model" is an algorithm that uses artificial intelligence to analyze user inquiries and generate information.

[0659] A "personalized sightseeing tour plan" is a travel plan that is customized based on the individual needs and preferences of the user.

[0660] A "guide information database" is a database that stores information about tourist guides.

[0661] "Guide characteristics" refer to the guide's individual attributes, such as his or her areas of expertise, expertise, and style.

[0662] "Location Information System" means any technology or device that measures, tracks, or displays geographic location.

[0663] A "virtual guide" is software or hardware that mimics the gestures, speaking style, and facial expressions of a real guide, providing a realistic guided experience.

[0664] "Tourist information" refers to providing visitors with information about tourist attractions, culture, history, etc.

[0665] "Emotion data analysis means" refers to technology or equipment that analyzes a user's facial expressions and tone of voice and recognizes their emotions.

[0666] "Dynamic adjustment" refers to changing settings and plans in real time in response to changing circumstances and conditions.

[0667] "Location information" refers to geographical data that indicates a specific location using technology such as GPS.

[0668] A "query" is a series of actions or inputs that a user makes to a system to request information.

[0669] "Optimization" refers to adjusting to obtain the best results under specific conditions or constraints.

[0670] This invention is a system that uses a generative AI model to analyze user inquiries and automatically generate personalized sightseeing tour plans. Furthermore, by combining it with an emotion data analysis method that recognizes user emotions, it provides a higher quality and adaptive sightseeing guide experience.

[0671] Server-side processing

[0672] The server receives inquiries from users and analyzes their requests using a generative AI model. Specifically, a common generative language model (e.g., GPT-4) is used as the generative AI model to analyze the user's inquiry. Keywords such as "Kyoto," "tourist spots," and "historical places" are extracted from the inquiry. Based on the extracted keywords, related tourist spot information is retrieved from a tourist database, and a tour plan is automatically generated.

[0673] Furthermore, a general emotion analysis API (e.g., emotion analysis engine) is used as a means of analyzing emotion data. The system analyzes the user's past emotion data and optimizes the tour plan according to emotions such as excitement and interest. This allows the system to prioritize the inclusion of tourist spots and content that the user will enjoy.

[0674] Next, the server retrieves relevant guide information from the guide information database. It selects an appropriate guide based on their areas of expertise and characteristics. For example, based on a guide who is "expert in history," it adds rich historical background information to the sightseeing tour plan. This tour plan is then sent to the guide himself for confirmation and approval, and the virtual guide begins preparation.

[0675] Terminal side processing

[0676] The user's device uses a location information system (e.g., GPS) to collect current location information and transmits it to a server. When the user arrives at a tourist spot, the device automatically launches a virtual guide. The virtual guide learns the guide's gestures, speaking style, and facial expressions, providing a realistic guided experience.

[0677] Furthermore, emotion data analysis means analyzes the user's facial expressions and tone of voice in real time, and the virtual guide dynamically adjusts the content and tone of the guidance based on the results. For example, if the user shows interest, the guide will provide detailed explanations, but if the user appears bored, the guide will provide a more concise explanation.

[0678] User operations

[0679] The user can view the generated tour plan on their device and customize it as needed. If they send a request to the server to exclude specific spots or add new spots, the server will regenerate the tour plan based on the request and provide the updated plan to the user.

[0680] While sightseeing, users can ask the virtual guide for additional information or questions. When questions are input via voice or text through the terminal, the virtual guide responds in real time. Furthermore, an emotional data analysis means analyzes the user's emotional data, and the content and tone of the response are flexibly adjusted according to the user's emotions. For example, a user who looks anxious may be given an explanation in a friendly tone, while a user who is relaxed may be given a detailed explanation.

[0681] Specific examples

[0682] For example, if a user asks, "What are the best tourist spots in Kyoto?", the generative AI model will analyze the request and suggest a tour plan that includes Kinkaku-ji Temple, Nijo Castle, and Kiyomizu-dera Temple. The emotional data analysis means will analyze the user's facial expressions, and if the user is excited, it will prioritize particularly popular spots in the plan.

[0683] When the user arrives at Kinkakuji Temple, the virtual guide will explain the temple's history and highlights, while the emotional data analysis method will detect the user's interest and provide more detailed historical information.In this way, the system integrates the generative AI model, location information system (e.g., GPS), virtual guide, and emotional data analysis method to provide an efficient and adaptive tourist guide experience.

[0684] Examples of prompt statements

[0685] "What are some recommended tourist spots in Kyoto?"

[0686] "I'd like to know more about Kinkakuji Temple."

[0687] "Create a tour plan centered around historical sites."

[0688] This system reduces the workload of tour guides and provides users with a highly satisfying tourist experience.

[0689] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0690] Step 1:

[0691] The user inputs a query such as "Please tell me the recommended tourist spots in Kyoto" into the terminal. The input query is sent from the terminal to the server.

[0692] Step 2:

[0693] The server inputs the received user inquiry into the generative AI model. The generative AI model analyzes the inquiry and extracts keywords such as "Kyoto," "tourist spots," and "recommended." The extracted keywords are passed to the next processing step.

[0694] Step 3:

[0695] The server searches the tourist database based on the extracted keywords to obtain information on related tourist spots. The information on tourist spots obtained from the database is then passed to the next processing step. For example, information on tourist spots such as Kinkakuji Temple, Nijo Castle, and Kiyomizu-dera Temple is obtained.

[0696] Step 4:

[0697] The server inputs the acquired tourist spot information into the generative AI model and automatically generates a personalized sightseeing tour plan. The generated tour plan is then passed to the next processing step. For example, it may include a route that includes Kinkaku-ji Temple, Nijo Castle, and Kiyomizu-dera Temple, as well as the duration of the tour.

[0698] Step 5:

[0699] The server uses emotion data analysis means to analyze the user's past emotion data. Based on the analysis results, it optimizes the priority of tourist spots and the contents of the tour plan to suit the user's emotions. The optimized tour plan is passed to the next processing step. For example, if the user is excited, it prioritizes particularly popular spots.

[0700] Step 6:

[0701] The server retrieves a list of guides from the guide information database. Based on the retrieved guide information, the tour plan is further optimized. The tour plan is sent to the guide himself for confirmation and approval. The approved tour plan is passed to the next processing step. For example, the tour plan may be adjusted to include historical background by a guide knowledgeable in history.

[0702] Step 7:

[0703] The user's device uses the location information system to obtain current location information and sends it to the server. The obtained location information is passed to the next processing step. For example, if the user is near Kinkakuji Temple, that location information is sent.

[0704] Step 8:

[0705] When the user arrives at a tourist spot, the device automatically launches a virtual guide, who provides realistic sightseeing guidance based on the tour plan, imitating the guide's gestures, speaking style, and facial expressions.

[0706] Step 9:

[0707] The user's device transmits the user's facial expressions and tone of voice to the emotion data analysis means in real time. The emotion data analysis means analyzes this data, and the virtual guide dynamically adjusts the content and tone of the guidance. For example, if the user shows interest, the virtual guide will provide a detailed explanation, but if the user appears bored, the virtual guide will provide a more basic explanation.

[0708] Step 10:

[0709] The user checks and customizes the tour plan on the device. For example, they can send a request to the server to exclude specific spots or add new spots. The server then regenerates the tour plan using the generative AI model and provides the updated tour plan to the user.

[0710] Step 11:

[0711] During the tour, the user can input additional information or questions to the virtual guide via voice or text. The virtual guide responds in real time, flexibly adjusting the content and tone of the guidance depending on the user's emotions. For example, if a user looks anxious, the guide will explain in a friendly tone, while if a user is relaxed, the guide will provide a detailed explanation.

[0712] In this way, each step of the system works together to provide the user with the optimal tourist guide experience.

[0713] (Application example 2)

[0714] 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."

[0715] Conventional tourist guide systems were unable to adapt to users' emotions and interests, making it difficult to provide the optimal tourist experience for each individual user. It was also difficult to quickly provide individually customized tour plans in response to user inquiries. This resulted in increased workload for tour guides and reduced user satisfaction.

[0716] 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.

[0717] In this invention, the server includes means for analyzing inquiries from users using a generative AI model and automatically generating a personalized sightseeing tour plan, means for optimizing the sightseeing tour plan based on the characteristics of the guide registered in the guide database and requesting final confirmation from the guide himself, means for the user's device to acquire current location information using GPS and automatically activate an avatar guide when the user arrives at a tourist spot based on the location information to provide sightseeing guidance, and means for analyzing user emotion data and dynamically adjusting the content and tone of the sightseeing guidance according to the emotion. This makes it possible to provide an optimal tour plan for each user and provide a high-quality guide experience through real-time emotional response.

[0718] A "generative AI model" is an artificial intelligence model that analyzes user inquiries and generates personalized information.

[0719] A "guide database" is a database for storing information about tourist destinations and tour spots, as well as the characteristics and information of related guides.

[0720] The "avatar guide" is a virtual guide that learns the gestures, speaking style, and facial expressions of the actual guide, providing a realistic guided experience.

[0721] "GPS" is an abbreviation for Global Positioning System, a system for obtaining location information.

[0722] "Emotion data" is data that indicates the emotional state of the user, obtained by analyzing the user's facial expression, tone of voice, and the like.

[0723] "Tourist information" is a service that provides information about tourist destinations and tour spots.

[0724] A "personalized sightseeing tour plan" is a plan that proposes customized sightseeing routes and spots based on the individual preferences and interests of each user.

[0725] "Dynamic adjustment" means changing the content in response to the user's state and situation, which change in real time.

[0726] "Regenerating a tour plan" means recreating an existing plan based on the user's new needs or emotional state.

[0727] The system based on this invention is designed to provide a personalized sightseeing tour planning and guiding experience. The system includes a generative AI model, a guide database, an avatar guide, a GPS, and an emotion engine. Each component and its operation are described in detail below.

[0728] Server-side processing

[0729] The server receives inquiries from users and analyzes their requests using a generative AI model. The generative AI model uses natural language processing technology to analyze the request and extract keywords. For example, it can extract keywords such as "Kyoto," "tourist spots," and "historical places." Based on these keywords, it obtains tourist spot information and automatically generates a personalized sightseeing tour plan. At the same time, an emotion engine analyzes the user's emotional data and further optimizes the optimal tour plan based on their emotions.

[0730] Next, the server retrieves a list of relevant guides from the guide database. The guide database stores information about tourist destinations and tour spots, as well as the characteristics and information of the associated guides. The server selects the most suitable guide based on the guide's areas of expertise and characteristics, and adjusts the tour plan to reflect those characteristics. For example, a tour plan with a rich historical background is created based on a guide who is "expert in history." This tour plan is sent to the guide himself, who confirms and approves it, and the final plan is decided.

[0731] Terminal side processing

[0732] The user's device uses GPS to collect current location information and sends it to a server. When the user arrives at a tourist spot, the device automatically activates an avatar guide. The avatar guide is a virtual guide that has learned the guide's gestures, speaking style, and facial expressions, providing a realistic guide experience. In addition, an emotion engine analyzes the user's facial expressions and tone of voice in real time, and the avatar guide dynamically adjusts the content and tone of the guidance based on the results. For example, if the user shows interest, the avatar guide will provide detailed explanations, but if it appears bored, it will provide a more basic explanation.

[0733] User operations

[0734] Users can review the generated tour plan on their device and customize it as needed. If they send a request to the server to exclude specific spots or add new ones, the server will regenerate the tour plan based on the request and provide the user with the latest plan. During the tour, users can also ask the avatar guide additional information or questions. When questions are entered via voice or text through the device, the avatar guide will respond in real time. Furthermore, an emotion engine analyzes the user's emotional data, and the content and tone of the response are flexibly adjusted according to the user's emotions.

[0735] Examples of concrete examples and prompts

[0736] Examples:

[0737] When a user arrives at a historical temple that is one of the tourist attractions, they may request, "Please tell me more about the history of this temple." In response to this request, the generative AI model provides detailed historical information, and the emotion engine analyzes the user's interests. If the user shows interest, more specific information is provided.

[0738] Example prompt sentence:

[0739] "The user wants detailed historical information about a historic temple. Please provide a detailed explanation."

[0740] "Analyze the user's facial expressions to determine whether they are currently interested or bored."

[0741] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0742] Step 1:

[0743] The server receives a query from a user.

[0744] Input: User's inquiry (e.g., "What are some recommended tourist spots in Kyoto?")

[0745] Specific operation: The server obtains the query content for analysis and passes it to the generative AI model.

[0746] Step 2:

[0747] The server uses a generative AI model to analyze the user's inquiry and extract keywords.

[0748] Input: User's inquiry

[0749] Specific operation: The generative AI model uses natural language processing technology to extract keywords such as "Kyoto," "tourist spots," and "historical places" from the inquiry content.

[0750] Output: Extracted keywords

[0751] Step 3:

[0752] The server acquires tourist spot information based on the extracted keywords and automatically generates a personalized sightseeing tour plan.

[0753] Input: Extracted keywords

[0754] Specific operation: The server accesses the tourist spot database, collects relevant tourist spot information, and generates a tour plan.

[0755] Output: A personalized sightseeing tour plan

[0756] Step 4:

[0757] The server retrieves a list of relevant guides from a guide database and optimizes the tour plan.

[0758] Input: personalized sightseeing tour plans, guide database

[0759] Specific operation: The server adjusts the tour plan based on the information in the guide database, reflecting the guide's areas of expertise and characteristics.

[0760] Output: Optimized tour plan

[0761] Step 5:

[0762] The server then sends the optimized tour plan to the guide for confirmation and approval.

[0763] Input: Optimized tour plan

[0764] Specific operation: The server sends the tour plan to the guide and waits for approval.

[0765] Output: Guide's approved tour plan

[0766] Step 6:

[0767] The device uses GPS to collect current location information and transmits it to the server.

[0768] Input: GPS data of the device

[0769] Specific operation: The device periodically obtains location information and sends it to the server.

[0770] Output: Current location information

[0771] Step 7:

[0772] When the user arrives at a tourist spot, the device automatically launches the avatar guide.

[0773] Input: Current location of the user

[0774] Specific operation: The device detects arrival at a tourist spot based on location information and activates the avatar guide.

[0775] Output: Launching the avatar guide

[0776] Step 8:

[0777] The avatar guide provides tourist information based on the guide's own gestures, speaking style, and facial expressions.

[0778] Input: Tour plan, tourist spot information, guide characteristics data

[0779] Specific actions: The avatar guide reproduces the characteristics of the guide himself and provides commentary on tourist spots.

[0780] Output: Tourist information for the user

[0781] Step 9:

[0782] The server uses an emotion engine to analyze the user's emotion data and dynamically adjusts the content and tone of the tourist information according to the emotion.

[0783] Input: User's facial expression data, voice tone

[0784] Specific operation: The server uses the emotion engine to analyze the user's emotions in real time and provides feedback to the avatar guide.

[0785] Output: Dynamically adjusted tourist information content and tone

[0786] Step 10:

[0787] The user can check the generated tour plan on the terminal and customize it as necessary.

[0788] Input: User customization request

[0789] Specific operation: The user checks the tour plan on the terminal and inputs change requests. The server regenerates the tour plan based on the requests.

[0790] Output: Customized tour plan

[0791] 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.

[0792] 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.

[0793] 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.

[0794] [Third embodiment]

[0795] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0796] 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.

[0797] 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).

[0798] 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.

[0799] 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.

[0800] 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).

[0801] 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.

[0802] 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.

[0803] 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.

[0804] 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.

[0805] 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.

[0806] 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."

[0807] This invention relates to a system that uses a generative AI model to analyze user inquiries and automatically generate personalized sightseeing tour plans. This system was developed to reduce the workload of tour guides and provide a high-quality guided experience to tourists visiting Japan.

[0808] Server-side processing

[0809] The server receives inquiries from users and analyzes their requests using the generative AI model. For example, if a user asks, "Please tell me about tourist spots in Kyoto," the server analyzes the request and extracts keywords. Based on the extracted keywords, the generative AI model automatically generates tourist spots and routes. Specifically, a tour plan including Kinkaku-ji Temple, Nijo Castle, Kiyomizu-dera Temple, etc. is created.

[0810] Next, the server selects an appropriate guide from among those registered in the guide database. It optimizes the tour plan based on the guide's characteristics and areas of expertise, and requests the guide for final confirmation. For example, a guide who is "expert on history" is selected, and the tour plan is adjusted to reflect that guide's characteristics. This tour plan is sent to the guide, who, after approval, begins preparations for the avatar guide.

[0811] Terminal side processing

[0812] The user's device uses GPS to collect current location information and sends it to the server. When the user reaches a designated tourist spot, the device automatically activates an avatar guide. The avatar guide learns the guide's gestures, speaking style, and facial expressions, providing a realistic guided experience. For example, when the user arrives at Kinkakuji Temple, the device automatically activates an avatar guide who explains the temple's history and highlights.

[0813] User operations

[0814] The user can review the generated tour plan and customize it as needed. For example, the user may request to exclude Nijo Castle and add a walk around Gion instead. Based on the user's request, the tour plan will be regenerated and presented to the user.

[0815] Users can also interact with the avatar guide while sightseeing. They can ask the avatar guide for additional information or questions. For example, if you are at Kiyomizu-dera Temple and ask, "Tell me about the architectural style of this temple," the avatar guide will provide that information in real time.

[0816] In this way, the system of this invention utilizes generative AI models, GPS, and avatar guides to provide an efficient and personalized tour guide experience, reducing the workload of tour guides and providing a highly satisfying service for tourists visiting Japan.

[0817] The processing flow will be explained below.

[0818] Step 1:

[0819] The server receives a query from the user. For example, if the user sends a request such as "Please tell me about tourist spots in Kyoto," the server receives this request.

[0820] Step 2:

[0821] The server uses the generated AI model to analyze the user's request, and extracts keywords (e.g., "Kyoto," "tourist spots," "historical places").

[0822] Step 3:

[0823] The server uses the generated AI model to obtain tourist spot information based on keywords (e.g., Kinkaku-ji Temple, Nijo Castle, Kiyomizu-dera Temple) and automatically generate a tour plan.

[0824] Step 4:

[0825] The server retrieves a list of relevant guides from the guide database, references the characteristics and areas of expertise of each guide, and selects the most suitable guide.

[0826] Step 5:

[0827] The server reflects the characteristics of the guide selected by the server in the tour plan, optimizing the explanation of tourist spots and routes. For example, it adjusts a tour plan rich in historical background based on a guide who is "knowledgeable about history."

[0828] Step 6:

[0829] The server sends the generated tour plan to the guide for final confirmation, who then checks and approves the plan.

[0830] Step 7:

[0831] The server prepares the avatar guide based on the approved tour plan. It learns the guide's gestures, speaking style, facial expressions, etc., and generates an avatar guide program.

[0832] Step 8:

[0833] The device uses the GPS sensor to obtain its current location, and periodically sends this information to the server to determine its location in real time.

[0834] Step 9:

[0835] When the device arrives at a tourist spot, the avatar guide will automatically launch. For example, when you arrive at Kinkakuji Temple, the avatar guide will explain the temple's highlights and history.

[0836] Step 10:

[0837] The user can view and customize the generated tour plan on their device, excluding specific spots or sending requests to add new spots.

[0838] Step 11:

[0839] The server regenerates the tour plan based on the user's request and provides the latest plan to the user.

[0840] Step 12:

[0841] While sightseeing, users can ask the avatar guide for additional information or questions. When questions are input via voice or text through the device, the avatar guide responds in real time.

[0842] Through these steps, the server, terminal, and user can work together to provide an efficient and personalized tourist guide experience.

[0843] Example 1

[0844] 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."

[0845] Conventional tourist guides are not personalized for users and often only provide standard tour plans. Furthermore, guides must deal with a large number of tourists, which is labor-intensive and results in inconsistent quality. Furthermore, it is often difficult to respond in real time when users ask questions or request changes during the tour. To solve these problems, a system that can respond to users' individual requests and interact with them in real time was needed.

[0846] 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.

[0847] In this invention, the server includes means for analyzing inquiries from users using a generative AI model and automatically generating a personalized sightseeing tour plan, means for optimizing the sightseeing tour plan based on the characteristics of the guide registered in the guide database and requesting final confirmation from the guide himself, means for the user's device to acquire current location information using GPS and automatically launch a virtual guide when the user arrives at a tourist destination based on the location information to provide sightseeing guidance, means for allowing the user to customize the generated tour plan and presenting a regenerated tour plan, and means for responding to additional information and questions through interaction with the user during sightseeing, thereby making it possible to provide a high-quality, real-time sightseeing guide experience that meets individual needs.

[0848] A "generative AI model" is an algorithm or system that uses artificial intelligence technology to analyze input data and generate information or content that meets a specific purpose.

[0849] A "personalized sightseeing tour plan" is a proposal of specific sightseeing routes and activities based on the user's individual tastes, interests and requests.

[0850] The "guide database" is a database in which information about multiple guides is registered, and is a collection of data including information such as the characteristics and areas of expertise of the guides.

[0851] A "virtual guide" is a digital assistant that uses artificial intelligence and virtual reality technology to provide tourist information as an alternative to a real guide.

[0852] "User Device" means a computing device carried or used by a User, such as a smartphone, tablet, or personal computer.

[0853] "GPS" stands for Global Positioning System, a satellite navigation system for determining your current location on Earth.

[0854] "Customizing a tour plan" means making modifications to the initial tour plan to suit the user's wishes and desires.

[0855] "Tourist information" refers to the act of providing information about tourist destinations and their surrounding areas, including explanations, historical background, attractions, and experiential activities.

[0856] "Interaction" refers to the process or action of exchanging information between a user and a system, and specifically includes responding to questions and providing additional information.

[0857] This invention relates to a system that uses a generative AI model to analyze user inquiries and automatically generate personalized sightseeing tour plans. The purpose of this system is to reduce the workload of tour guides and provide tourists with a high-quality guided experience.

[0858] First, the server receives a query from a user. Specifically, the server obtains text data entered by the user via the Internet. For example, if a query such as "Please tell me about tourist spots in Kyoto" is entered, the server receives this text.

[0859] Next, the server uses a generative AI model (e.g., GPT-4) to analyze the received inquiry. The server analyzes the text data and extracts keywords such as "Kyoto" and "tourist spots." Through this analysis, the server understands the user's intent and suggests appropriate tourist spots.

[0860] The server then automatically generates tourist spots and routes based on the extracted keywords. For example, the server generates a tour plan that includes Kinkaku-ji Temple, Nijo Castle, Kiyomizu-dera Temple, etc. This generated tour plan includes a series of tourist spots and their routes.

[0861] The server then references the guide database and selects the most suitable guide from among the registered guides. The guide database contains information such as the guide's characteristics, areas of expertise, and past reviews. For example, a guide who is "expert on history" may be selected. The server then requests the selected guide to make a final confirmation of the tour plan.

[0862] The user's device uses GPS to obtain their current location information. For example, when the user arrives at Kinkakuji Temple, the device sends that location information to the server. Based on this information, the server automatically launches a virtual guide when the user arrives at a tourist spot. The virtual guide learns the guide's gestures, speaking style, and facial expressions, providing a realistic guided experience. For example, after arriving at Kinkakuji Temple, the virtual guide plays audio and video explaining the temple's history and highlights.

[0863] Furthermore, the user can review the generated tour plan and customize it as needed. For example, if the user requests to remove Nijo Castle from the tour plan and add Gion instead, the server will receive this request and regenerate a new tour plan. This regenerated tour plan will be presented to the user.

[0864] While sightseeing, users can interact with the virtual guide for additional information or to answer questions. For example, while at Kiyomizu-dera Temple, users can ask, "Tell me about the architectural style of this temple," and the virtual guide will provide that information in real time.

[0865] Example prompt sentence:

[0866] User's question: "What are some tourist spots in Kyoto?"

[0867] Server analysis results: "Kyoto" "Tourist spots"

[0868] Generated tour plan: "Kinkaku-ji Temple, Nijo Castle, Kiyomizu-dera Temple"

[0869] Guide's special feature: "Knowledgeable about history"

[0870] User customization: "Exclude Nijo Castle and add Gion"

[0871] In this way, the present invention utilizes generative AI models, GPS, and virtual guides to provide an efficient and personalized tourist guide experience, reducing the workload of tour guides and providing a service that is highly satisfying for tourists.

[0872] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0873] Step 1:

[0874] The server receives a query from the user. When the user types "Please tell me about tourist spots in Kyoto" and presses the send button, the text data is sent to the server. This input data is received by the server in raw text format.

[0875] Specific behavior:

[0876] Open the app on the user's device and enter the inquiry.

[0877] Pressing the send button sends the text data to the server.

[0878] The server stores the received text data.

[0879] Step 2:

[0880] The server uses a generative AI model (e.g., GPT-4) to analyze the text of the received inquiry. Keywords such as "Kyoto" and "tourist spots" are extracted from the input text. This data analysis allows the server to accurately understand the user's intent.

[0881] Specific behavior:

[0882] The server inputs the text data into the generative AI model.

[0883] The generative AI model uses natural language processing to extract keywords.

[0884] The extracted keywords are stored on the server.

[0885] Step 3:

[0886] The server automatically generates tourist spots and routes based on the extracted keywords. Specifically, a tour plan is generated that includes Kinkaku-ji Temple, Nijo Castle, Kiyomizu-dera Temple, etc. The tour plan also includes the optimal route to each tourist spot.

[0887] Specific behavior:

[0888] The server searches the tourist spot database based on keywords.

[0889] Obtain information on related tourist spots and generate tour plans.

[0890] The generated tour plan is stored on the server.

[0891] Step 4:

[0892] The server refers to the guide database and selects the most suitable guide from among the registered guides. Based on the guide's characteristics (e.g., knowledge of history) and areas of expertise, the server optimizes the tour plan and requests the guide for final confirmation.

[0893] Specific behavior:

[0894] The server queries the guide database for requirements related to the tour plan.

[0895] Select the most suitable guide based on the characteristics and ratings of each guide.

[0896] Ask the selected guide to confirm the tour plan.

[0897] Step 5:

[0898] The user's device uses GPS to obtain their current location information and sends it to the server, which then uses it to launch the virtual guide when they arrive at a tourist spot.

[0899] Specific behavior:

[0900] The device's GPS function collects location information.

[0901] The collected location information is sent to a server.

[0902] The server analyzes the location information and identifies the destination.

[0903] Step 6:

[0904] When the user arrives at the designated tourist spot, the device automatically launches a virtual guide, who provides sightseeing guidance based on the information learned in advance to provide a realistic guided experience.

[0905] Specific behavior:

[0906] The device detects that you have reached a tourist spot.

[0907] Automatically launches the virtual guide app.

[0908] Virtual guides provide audio and video tours.

[0909] Step 7:

[0910] The user can review the generated tour plan and customize it as needed. For example, if the user requests to "exclude Nijo Castle and add a stroll around Gion," the tour plan will be regenerated based on the request and presented to the user.

[0911] Specific behavior:

[0912] The user enters customization information on the tour plan confirmation screen.

[0913] A request is sent to the server and a new tour plan is generated.

[0914] The regenerated tour plan is sent to the user's terminal and displayed.

[0915] Step 8:

[0916] While sightseeing, users can interact with the virtual guide for additional information or to answer questions. For example, while at Kiyomizu-dera Temple, users can ask, "Tell me about the architectural style of this temple," and the virtual guide will provide that information in real time.

[0917] Specific behavior:

[0918] Users type questions into the virtual guide.

[0919] The question is sent to the server and analyzed.

[0920] The virtual guide generates an answer and responds to the user.

[0921] (Application example 1)

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

[0923] A challenge with traditional tourism services is that creating tour plans and arranging guides requires a great deal of time and effort. It's also difficult to provide a personalized tourism experience tailored to each visitor, and in many cases, only general information is available. While tourism experiences in virtual environments are also advancing, there are still insufficient means to recreate a real guided experience. Furthermore, tour plans are often fixed and cannot be flexibly customized, making it difficult to fully meet the needs of visitors.

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

[0925] In this invention, the server includes means for analyzing inquiries from users using a generative AI model and automatically generating a personalized sightseeing tour plan, means for optimizing the sightseeing tour plan based on the characteristics of experts registered in a database and requesting final confirmation from the expert, means for the user's device to acquire current location information using location information acquisition means and automatically activate an avatar guide and provide information when the user reaches a specified point based on the location information, and means for providing information in a virtual environment based on the generated plan, thereby making it possible to efficiently provide visitors with a personalized, high-quality sightseeing experience.

[0926] A "generative AI model" is an artificial intelligence algorithm that analyzes inquiries from users and automatically generates optimal proposals and plans tailored to each user.

[0927] A "database" is a collection of systematic data that stores expert and related information and allows for searching and referencing.

[0928] An "expert" is an individual or group with advanced knowledge or skills in a particular field.

[0929] "Location information acquisition means" refers to a system that uses GPS or other location measurement technology to accurately acquire the user's current location.

[0930] The "avatar guide" is a virtual character that learns the gestures, speaking style, and facial expressions of the expert himself / herself, providing a realistic guide experience.

[0931] A "virtual environment" is a computer-generated virtual space in which users can experience the sensation of actually being in the environment through sight, hearing, etc.

[0932] A "personalized sightseeing tour plan" is a travel plan that includes sightseeing routes and attractions that are individually tailored to the user's preferences and interests.

[0933] "Information provision means" refers to a system or method for transmitting information to users according to their purpose at an appropriate time.

[0934] The system for realizing the present invention is configured by combining various types of hardware and software.

[0935] Server-side processing

[0936] The server includes the following means:

[0937] 1. Analyzing inquiries using a generative AI model: The server receives inquiries from users and analyzes their content using a generative AI model. This generative AI model uses natural language processing technology to extract the intent of the inquiry and important keywords. For example, if a user requests a virtual tour of Kyoto via voice or text, the server will extract keywords such as "Kyoto" and "virtual tour."

[0938] 2. A method for generating personalized sightseeing tour plans: Based on the extracted keywords, the server automatically generates tourist spots and routes. This generation utilizes the characteristics and planning information of experts registered in the database. For example, the generated plan includes tourist spots such as Kinkakuji Temple, Nijo Castle, and Kiyomizu-dera Temple.

[0939] 3. Request for final review: The generated tour plan is sent to the experts registered in the database for final review and optimization. The experts will review the plan details, make any necessary corrections, and then approve it.

[0940] Terminal side processing

[0941] The terminal includes the following means:

[0942] 1. Location information acquisition means: The user's device (e.g., a smartphone or head-mounted display) uses a location information acquisition means (such as GPS) to collect current location information. This information is sent to the server.

[0943] 2. Method of activating the avatar guide and providing information: When the user arrives at a specified location, the device automatically activates the avatar guide and provides detailed information about that location. The avatar guide learns the expert's gestures, speaking style, and facial expressions, providing a realistic and interactive guide experience. For example, when the user arrives at Kinkaku-ji Temple, it can instantly respond to questions such as, "Please tell me about the history of this building."

[0944] 3. Means of providing information in a virtual environment: The generated plan can be experienced in a virtual environment. Using a smartphone or a head-mounted display, users can obtain information about tourist spots as if they were actually there. For example, by using a device such as Oculus Quest, users can enjoy a highly immersive virtual tour of Kinkaku-ji Temple or Kiyomizu-dera Temple.

[0945] Usage example

[0946] Examples of prompts include:

[0947] "I'm currently at Kyoto Station. I'd like a sightseeing route including Kinkakuji Temple, Nijo Castle, and Kiyomizu-dera Temple, in 15-minute increments."

[0948] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0949] Step 1:

[0950] Receiving user inquiries

[0951] Input: The user inputs a prompt sentence such as "Please give me a virtual tour of Kyoto" through a smartphone or head-mounted display.

[0952] Processing: The terminal sends this prompt to the server.

[0953] Output: The prompt text arrives at the server.

[0954] Step 2:

[0955] Query Analysis

[0956] Input: The prompt text received by the server.

[0957] Processing: The server uses a generative AI model to analyze the prompt, specifically extracting important keywords (e.g., "Kyoto" or "virtual tour") using natural language processing.

[0958] Output: Extracted keywords.

[0959] Step 3:

[0960] Generate personalized tour plans

[0961] Input: Extracted keywords.

[0962] Processing: The server generates a personalized tour plan based on keywords, using the registered expert's characteristics and planning information, and referring to tourist spot information in the database (e.g., Kinkaku-ji Temple, Nijo Castle, Kiyomizu-dera Temple).

[0963] Output: Generated personalized sightseeing tour plan.

[0964] Step 4:

[0965] Optimize and finalize the tour plan

[0966] Input: The generated personalized sightseeing tour plan.

[0967] Processing: The server sends the generated tour plan to the experts registered in the database for optimization and final confirmation. The experts review the tour plan and make any necessary corrections.

[0968] Output: Final confirmed tour plan.

[0969] Step 5:

[0970] Obtaining location information

[0971] Input: The user's device uses a location information acquisition method such as GPS.

[0972] Processing: The device acquires the user's current location information and sends it to the server.

[0973] Output: Current location information.

[0974] Step 6:

[0975] Determine when a specific location has been reached and activate the ghost guide

[0976] Input: Current location and last confirmed tour plan.

[0977] Processing: The server determines whether the user has reached a specified point in the tour plan. If so, it sends a command to start the avatar guide to the terminal. The terminal starts the avatar guide and provides detailed information about the point.

[0978] Output: Information provided by avatar guidance.

[0979] Step 7:

[0980] Providing information in a virtual environment

[0981] Input: Final confirmed tour plan and avatar guide information.

[0982] Processing: The device provides information according to the tour plan in a virtual environment. The user experiences the virtual tour through their eyes and ears using a head-mounted display or other device.

[0983] Output: Tourist information in a virtual environment.

[0984] Step 8:

[0985] User Interaction and Customization

[0986] Input: The user's question or request for the avatar guide (e.g., "What is the history of this building?").

[0987] Processing: The device sends the user's request to the server, where the generative AI model analyzes it in real time and customizes the tour plan as needed.

[0988] Output: A customized tour plan with detailed information provided in real time.

[0989] 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.

[0990] This invention relates to a system that analyzes user inquiries and automatically generates personalized sightseeing tour plans. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, it provides a higher quality and adaptive sightseeing guide experience.

[0991] Server-side processing

[0992] The server receives inquiries from users and analyzes their requests using a generative AI model. The request content is analyzed and keywords (e.g., "Kyoto," "tourist spots," "historical places") are extracted. The generative AI model obtains tourist spot information based on the keywords and automatically generates a tour plan. At the same time, the emotion engine analyzes the user's emotional data and further optimizes the optimal tour plan based on their emotions.

[0993] Next, the server retrieves a list of relevant guides from the guide database. It selects the most suitable guide based on their areas of expertise and characteristics, and tailors the tour plan to reflect their characteristics. For example, it creates a tour plan with a rich historical background based on a guide who is "expert in history." This tour plan is sent to the guide himself, who then confirms and approves it before preparing the avatar guide.

[0994] Terminal side processing

[0995] The user's device uses GPS to collect current location information and sends it to a server. When the user arrives at a tourist spot, the device automatically activates an avatar guide. The avatar guide learns the guide's gestures, speaking style, and facial expressions to provide a realistic guided experience. In addition, an emotion engine analyzes the user's facial expressions and tone of voice in real time, and the avatar guide dynamically adjusts the content and tone of the guidance based on the results. For example, if the user shows interest, the avatar guide will provide detailed explanations, but if it appears bored, it will provide a more basic explanation.

[0996] User operations

[0997] The user can view the generated tour plan on their device and customize it as needed. If they send a request to the server to exclude specific spots or add new spots, the server will regenerate the tour plan based on the request and provide the updated plan to the user.

[0998] While sightseeing, users can ask the avatar guide for additional information or questions. When questions are input via voice or text through the device, the avatar guide will respond in real time. Furthermore, an emotion engine analyzes the user's emotional data, and the content and tone of the response are flexibly adjusted according to the user's emotions. For example, a user who looks anxious will be given explanations in a friendly tone, while a user who is relaxed will be given a detailed explanation.

[0999] Specific examples

[1000] For example, if a user asks, "What are the best tourist spots in Kyoto?", the generative AI model analyzes the request and suggests a tour plan that includes Kinkaku-ji Temple, Nijo Castle, and Kiyomizu-dera Temple. The emotion engine analyzes the user's facial expressions and, if the user is excited, prioritizes particularly popular spots in the plan. When the user arrives at Kinkaku-ji Temple, the avatar guide explains the temple's history and highlights, but the emotion engine detects the user's interests and provides more detailed historical information.

[1001] In this way, the system of this invention combines generative AI models, GPS, avatar guides, and emotion engines to provide an efficient and adaptive tour guide experience, reducing the workload of tour guides and providing a service that is highly satisfying for tourists visiting Japan.

[1002] The processing flow will be explained below.

[1003] MODE FOR CARRYING OUT THE INVENTION

[1004] The specific processing steps for implementing (Claim 4) to (Claim 6) are as follows.

[1005] Step 1:

[1006] The server receives a query from the user. For example, if the user sends a request such as "What are the recommended tourist spots in Kyoto?", the server receives this request.

[1007] Step 2:

[1008] The server uses the generated AI model to analyze the user's request, and extracts keywords (e.g., "Kyoto," "tourist spots," "historical places").

[1009] Step 3:

[1010] The server uses the AI ​​model to obtain tourist spot information based on keywords and automatically generate a tour plan, such as a tour plan including Kinkaku-ji Temple, Nijo Castle, and Kiyomizu-dera Temple.

[1011] Step 4:

[1012] The server uses an emotion engine to analyze the user's emotions. For example, it extracts emotional data (excitement, joy, anxiety, etc.) from the facial photograph and voice recorded by the user when sending the message.

[1013] Step 5:

[1014] The server optimizes the generated tour plan based on the emotion engine. For example, if the user is excited, it will prioritize the most popular spots in the plan.

[1015] Step 6:

[1016] The server retrieves a list of relevant guides from the guide database, references the characteristics and areas of expertise of each guide, and selects the most suitable guide.

[1017] Step 7:

[1018] The server reflects the characteristics of the selected guide in the tour plan, optimizing the explanation of tourist spots and routes, and then sends the tour plan to the guide for confirmation and approval.

[1019] Step 8:

[1020] The server prepares the avatar guide based on the approved tour plan. It learns the guide's gestures, speaking style, facial expressions, etc., and generates an avatar guide program.

[1021] Step 9:

[1022] The device uses the GPS sensor to obtain its current location, and periodically sends this information to the server to determine its location in real time.

[1023] Step 10:

[1024] When the device arrives at a tourist spot, the avatar guide will automatically launch. For example, when you arrive at Kinkakuji Temple, the avatar guide will explain the temple's highlights and history.

[1025] Step 11:

[1026] The device uses an emotion engine to analyze the user's emotions in real time. For example, it uses a camera to analyze the user's facial expressions to determine whether they are excited or bored.

[1027] Step 12:

[1028] The avatar guide dynamically adjusts the content and tone of the guidance based on the analyzed emotional data. For example, if the user shows interest, it will provide detailed explanations, but if it appears bored, it will provide a more focused explanation.

[1029] Step 13:

[1030] The user can review the generated tour plan on their device and customize it as needed, for example, by submitting a request to exclude specific spots or add new spots.

[1031] Step 14:

[1032] The server regenerates the tour plan based on the user's request and provides the latest plan to the user.

[1033] Step 15:

[1034] While sightseeing, users can ask the avatar guide for additional information or questions. When questions are input via voice or text through the device, the avatar guide responds in real time.

[1035] Step 16:

[1036] The device analyzes emotional data in real time and flexibly adjusts the content and tone of responses according to the user's emotions. For example, it will explain things in a friendly tone to a user who looks anxious, and provide a detailed explanation to a user who is relaxed.

[1037] This allows the server, terminal, and user to work together to provide an efficient and personalized tourist guide experience.

[1038] Example 2

[1039] 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."

[1040] Conventional tourist guide systems often provide uniform tour plans and guide content, making it difficult to adapt to the individual needs and current circumstances of users. Furthermore, they lack the ability to dynamically adjust the guide content based on the user's emotions and reactions, making it difficult to provide a high-quality personalized experience. Therefore, there is a need to improve user satisfaction and reduce the workload of tour guides.

[1041] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes: means for analyzing inquiries from users using a generative AI model and automatically generating a personalized sightseeing tour plan; means for optimizing the sightseeing tour plan based on the characteristics of the guide registered in the guide information database and requesting final confirmation from the guide himself; means for the user's terminal to acquire current location information using a location information system and automatically launch a virtual guide when the user arrives at a tourist destination based on the location information to provide tourist information; and means for analyzing the user's emotions using emotion data analysis means and dynamically adjusting the sightseeing tour plan and guidance content based on the analysis results. This makes it possible to provide a high-quality, adaptive sightseeing guide experience that meets the individual needs and emotions of the user.

[1042] A "generative AI model" is an algorithm that uses artificial intelligence to analyze user inquiries and generate information.

[1043] A "personalized sightseeing tour plan" is a travel plan that is customized based on the individual needs and preferences of the user.

[1044] A "guide information database" is a database that stores information about tourist guides.

[1045] "Guide characteristics" refer to the guide's individual attributes, such as his or her areas of expertise, expertise, and style.

[1046] "Location Information System" means any technology or device that measures, tracks, or displays geographic location.

[1047] A "virtual guide" is software or hardware that mimics the gestures, speaking style, and facial expressions of a real guide, providing a realistic guided experience.

[1048] "Tourist information" refers to providing visitors with information about tourist attractions, culture, history, etc.

[1049] "Emotion data analysis means" refers to technology or equipment that analyzes a user's facial expressions and tone of voice and recognizes their emotions.

[1050] "Dynamic adjustment" refers to changing settings and plans in real time in response to changing circumstances and conditions.

[1051] "Location information" refers to geographical data that indicates a specific location using technology such as GPS.

[1052] A "query" is a series of actions or inputs that a user makes to a system to request information.

[1053] "Optimization" refers to adjusting to obtain the best results under specific conditions or constraints.

[1054] This invention is a system that uses a generative AI model to analyze user inquiries and automatically generate personalized sightseeing tour plans. Furthermore, by combining it with an emotion data analysis method that recognizes user emotions, it provides a higher quality and adaptive sightseeing guide experience.

[1055] Server-side processing

[1056] The server receives inquiries from users and analyzes their requests using a generative AI model. Specifically, a common generative language model (e.g., GPT-4) is used as the generative AI model to analyze the user's inquiry. Keywords such as "Kyoto," "tourist spots," and "historical places" are extracted from the inquiry. Based on the extracted keywords, related tourist spot information is retrieved from a tourist database, and a tour plan is automatically generated.

[1057] Furthermore, a general emotion analysis API (e.g., emotion analysis engine) is used as a means of analyzing emotion data. The system analyzes the user's past emotion data and optimizes the tour plan according to emotions such as excitement and interest. This allows the system to prioritize the inclusion of tourist spots and content that the user will enjoy.

[1058] Next, the server retrieves relevant guide information from the guide information database. It selects an appropriate guide based on their areas of expertise and characteristics. For example, based on a guide who is "expert in history," it adds rich historical background information to the sightseeing tour plan. This tour plan is then sent to the guide himself for confirmation and approval, and the virtual guide begins preparation.

[1059] Terminal side processing

[1060] The user's device uses a location information system (e.g., GPS) to collect current location information and transmits it to a server. When the user arrives at a tourist spot, the device automatically launches a virtual guide. The virtual guide learns the guide's gestures, speaking style, and facial expressions, providing a realistic guided experience.

[1061] Furthermore, emotion data analysis means analyzes the user's facial expressions and tone of voice in real time, and the virtual guide dynamically adjusts the content and tone of the guidance based on the results. For example, if the user shows interest, the guide will provide detailed explanations, but if the user appears bored, the guide will provide a more concise explanation.

[1062] User operations

[1063] The user can view the generated tour plan on their device and customize it as needed. If they send a request to the server to exclude specific spots or add new spots, the server will regenerate the tour plan based on the request and provide the updated plan to the user.

[1064] While sightseeing, users can ask the virtual guide for additional information or questions. When questions are input via voice or text through the terminal, the virtual guide responds in real time. Furthermore, an emotional data analysis means analyzes the user's emotional data, and the content and tone of the response are flexibly adjusted according to the user's emotions. For example, a user who looks anxious may be given an explanation in a friendly tone, while a user who is relaxed may be given a detailed explanation.

[1065] Specific examples

[1066] For example, if a user asks, "What are the best tourist spots in Kyoto?", the generative AI model will analyze the request and suggest a tour plan that includes Kinkaku-ji Temple, Nijo Castle, and Kiyomizu-dera Temple. The emotional data analysis means will analyze the user's facial expressions, and if the user is excited, it will prioritize particularly popular spots in the plan.

[1067] When the user arrives at Kinkakuji Temple, the virtual guide will explain the temple's history and highlights, while the emotional data analysis method will detect the user's interest and provide more detailed historical information.In this way, the system integrates the generative AI model, location information system (e.g., GPS), virtual guide, and emotional data analysis method to provide an efficient and adaptive tourist guide experience.

[1068] Examples of prompt statements

[1069] "What are some recommended tourist spots in Kyoto?"

[1070] "I'd like to know more about Kinkakuji Temple."

[1071] "Create a tour plan centered around historical sites."

[1072] This system reduces the workload of tour guides and provides users with a highly satisfying tourist experience.

[1073] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1074] Step 1:

[1075] The user inputs a query such as "Please tell me the recommended tourist spots in Kyoto" into the terminal. The input query is sent from the terminal to the server.

[1076] Step 2:

[1077] The server inputs the received user inquiry into the generative AI model. The generative AI model analyzes the inquiry and extracts keywords such as "Kyoto," "tourist spots," and "recommended." The extracted keywords are passed to the next processing step.

[1078] Step 3:

[1079] The server searches the tourist database based on the extracted keywords to obtain information on related tourist spots. The information on tourist spots obtained from the database is then passed to the next processing step. For example, information on tourist spots such as Kinkakuji Temple, Nijo Castle, and Kiyomizu-dera Temple is obtained.

[1080] Step 4:

[1081] The server inputs the acquired tourist spot information into the generative AI model and automatically generates a personalized sightseeing tour plan. The generated tour plan is then passed to the next processing step. For example, it may include a route that includes Kinkaku-ji Temple, Nijo Castle, and Kiyomizu-dera Temple, as well as the duration of the tour.

[1082] Step 5:

[1083] The server uses emotion data analysis means to analyze the user's past emotion data. Based on the analysis results, it optimizes the priority of tourist spots and the contents of the tour plan to suit the user's emotions. The optimized tour plan is passed to the next processing step. For example, if the user is excited, it prioritizes particularly popular spots.

[1084] Step 6:

[1085] The server retrieves a list of guides from the guide information database. Based on the retrieved guide information, the tour plan is further optimized. The tour plan is sent to the guide himself for confirmation and approval. The approved tour plan is passed to the next processing step. For example, the tour plan may be adjusted to include historical background by a guide knowledgeable in history.

[1086] Step 7:

[1087] The user's device uses the location information system to obtain current location information and sends it to the server. The obtained location information is passed to the next processing step. For example, if the user is near Kinkakuji Temple, that location information is sent.

[1088] Step 8:

[1089] When the user arrives at a tourist spot, the device automatically launches a virtual guide, who provides realistic sightseeing guidance based on the tour plan, imitating the guide's gestures, speaking style, and facial expressions.

[1090] Step 9:

[1091] The user's device transmits the user's facial expressions and tone of voice to the emotion data analysis means in real time. The emotion data analysis means analyzes this data, and the virtual guide dynamically adjusts the content and tone of the guidance. For example, if the user shows interest, the virtual guide will provide a detailed explanation, but if the user appears bored, the virtual guide will provide a more basic explanation.

[1092] Step 10:

[1093] The user checks and customizes the tour plan on the device. For example, they can send a request to the server to exclude specific spots or add new spots. The server then regenerates the tour plan using the generative AI model and provides the updated tour plan to the user.

[1094] Step 11:

[1095] During the tour, the user can input additional information or questions to the virtual guide via voice or text. The virtual guide responds in real time, flexibly adjusting the content and tone of the guidance depending on the user's emotions. For example, if a user looks anxious, the guide will explain in a friendly tone, while if a user is relaxed, the guide will provide a detailed explanation.

[1096] In this way, each step of the system works together to provide the user with the optimal tourist guide experience.

[1097] (Application example 2)

[1098] 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."

[1099] Conventional tourist guide systems were unable to adapt to users' emotions and interests, making it difficult to provide the optimal tourist experience for each individual user. It was also difficult to quickly provide individually customized tour plans in response to user inquiries. This resulted in increased workload for tour guides and reduced user satisfaction.

[1100] 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.

[1101] In this invention, the server includes means for analyzing inquiries from users using a generative AI model and automatically generating a personalized sightseeing tour plan, means for optimizing the sightseeing tour plan based on the characteristics of the guide registered in the guide database and requesting final confirmation from the guide himself, means for the user's device to acquire current location information using GPS and automatically activate an avatar guide when the user arrives at a tourist spot based on the location information to provide sightseeing guidance, and means for analyzing user emotion data and dynamically adjusting the content and tone of the sightseeing guidance according to the emotion. This makes it possible to provide an optimal tour plan for each user and provide a high-quality guide experience through real-time emotional response.

[1102] A "generative AI model" is an artificial intelligence model that analyzes user inquiries and generates personalized information.

[1103] A "guide database" is a database for storing information about tourist destinations and tour spots, as well as the characteristics and information of related guides.

[1104] The "avatar guide" is a virtual guide that learns the gestures, speaking style, and facial expressions of the actual guide, providing a realistic guided experience.

[1105] "GPS" is an abbreviation for Global Positioning System, a system for obtaining location information.

[1106] "Emotion data" is data that indicates the emotional state of the user, obtained by analyzing the user's facial expression, tone of voice, and the like.

[1107] "Tourist information" is a service that provides information about tourist destinations and tour spots.

[1108] A "personalized sightseeing tour plan" is a plan that proposes customized sightseeing routes and spots based on the individual preferences and interests of each user.

[1109] "Dynamic adjustment" means changing the content in response to the user's state and situation, which change in real time.

[1110] "Regenerating a tour plan" means recreating an existing plan based on the user's new needs or emotional state.

[1111] The system based on this invention is designed to provide a personalized sightseeing tour planning and guiding experience. The system includes a generative AI model, a guide database, an avatar guide, a GPS, and an emotion engine. Each component and its operation are described in detail below.

[1112] Server-side processing

[1113] The server receives inquiries from users and analyzes their requests using a generative AI model. The generative AI model uses natural language processing technology to analyze the request and extract keywords. For example, it can extract keywords such as "Kyoto," "tourist spots," and "historical places." Based on these keywords, it obtains tourist spot information and automatically generates a personalized sightseeing tour plan. At the same time, an emotion engine analyzes the user's emotional data and further optimizes the optimal tour plan based on their emotions.

[1114] Next, the server retrieves a list of relevant guides from the guide database. The guide database stores information about tourist destinations and tour spots, as well as the characteristics and information of the associated guides. The server selects the most suitable guide based on the guide's areas of expertise and characteristics, and adjusts the tour plan to reflect those characteristics. For example, a tour plan with a rich historical background is created based on a guide who is "expert in history." This tour plan is sent to the guide himself, who confirms and approves it, and the final plan is decided.

[1115] Terminal side processing

[1116] The user's device uses GPS to collect current location information and sends it to a server. When the user arrives at a tourist spot, the device automatically activates an avatar guide. The avatar guide is a virtual guide that has learned the guide's gestures, speaking style, and facial expressions, providing a realistic guide experience. In addition, an emotion engine analyzes the user's facial expressions and tone of voice in real time, and the avatar guide dynamically adjusts the content and tone of the guidance based on the results. For example, if the user shows interest, the avatar guide will provide detailed explanations, but if it appears bored, it will provide a more basic explanation.

[1117] User operations

[1118] Users can review the generated tour plan on their device and customize it as needed. If they send a request to the server to exclude specific spots or add new ones, the server will regenerate the tour plan based on the request and provide the user with the latest plan. During the tour, users can also ask the avatar guide additional information or questions. When questions are entered via voice or text through the device, the avatar guide will respond in real time. Furthermore, an emotion engine analyzes the user's emotional data, and the content and tone of the response are flexibly adjusted according to the user's emotions.

[1119] Examples of concrete examples and prompts

[1120] Examples:

[1121] When a user arrives at a historical temple that is one of the tourist attractions, they may request, "Please tell me more about the history of this temple." In response to this request, the generative AI model provides detailed historical information, and the emotion engine analyzes the user's interests. If the user shows interest, more specific information is provided.

[1122] Example prompt sentence:

[1123] "The user wants detailed historical information about a historic temple. Please provide a detailed explanation."

[1124] "Analyze the user's facial expressions to determine whether they are currently interested or bored."

[1125] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1126] Step 1:

[1127] The server receives a query from a user.

[1128] Input: User's inquiry (e.g., "What are some recommended tourist spots in Kyoto?")

[1129] Specific operation: The server obtains the query content for analysis and passes it to the generative AI model.

[1130] Step 2:

[1131] The server uses a generative AI model to analyze the user's inquiry and extract keywords.

[1132] Input: User's inquiry

[1133] Specific operation: The generative AI model uses natural language processing technology to extract keywords such as "Kyoto," "tourist spots," and "historical places" from the inquiry content.

[1134] Output: Extracted keywords

[1135] Step 3:

[1136] The server acquires tourist spot information based on the extracted keywords and automatically generates a personalized sightseeing tour plan.

[1137] Input: Extracted keywords

[1138] Specific operation: The server accesses the tourist spot database, collects relevant tourist spot information, and generates a tour plan.

[1139] Output: A personalized sightseeing tour plan

[1140] Step 4:

[1141] The server retrieves a list of relevant guides from a guide database and optimizes the tour plan.

[1142] Input: personalized sightseeing tour plans, guide database

[1143] Specific operation: The server adjusts the tour plan based on the information in the guide database, reflecting the guide's areas of expertise and characteristics.

[1144] Output: Optimized tour plan

[1145] Step 5:

[1146] The server then sends the optimized tour plan to the guide for confirmation and approval.

[1147] Input: Optimized tour plan

[1148] Specific operation: The server sends the tour plan to the guide and waits for approval.

[1149] Output: Guide's approved tour plan

[1150] Step 6:

[1151] The device uses GPS to collect current location information and transmits it to the server.

[1152] Input: GPS data of the device

[1153] Specific operation: The device periodically obtains location information and sends it to the server.

[1154] Output: Current location information

[1155] Step 7:

[1156] When the user arrives at a tourist spot, the device automatically launches the avatar guide.

[1157] Input: Current location of the user

[1158] Specific operation: The device detects arrival at a tourist spot based on location information and activates the avatar guide.

[1159] Output: Launching the avatar guide

[1160] Step 8:

[1161] The avatar guide provides tourist information based on the guide's own gestures, speaking style, and facial expressions.

[1162] Input: Tour plan, tourist spot information, guide characteristics data

[1163] Specific actions: The avatar guide reproduces the characteristics of the guide himself and provides commentary on tourist spots.

[1164] Output: Tourist information for the user

[1165] Step 9:

[1166] The server uses an emotion engine to analyze the user's emotion data and dynamically adjusts the content and tone of the tourist information according to the emotion.

[1167] Input: User's facial expression data, voice tone

[1168] Specific operation: The server uses the emotion engine to analyze the user's emotions in real time and provides feedback to the avatar guide.

[1169] Output: Dynamically adjusted tourist information content and tone

[1170] Step 10:

[1171] The user can check the generated tour plan on the terminal and customize it as necessary.

[1172] Input: User customization request

[1173] Specific operation: The user checks the tour plan on the terminal and inputs change requests. The server regenerates the tour plan based on the requests.

[1174] Output: Customized tour plan

[1175] 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.

[1176] 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.

[1177] 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.

[1178] [Fourth embodiment]

[1179] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1180] 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.

[1181] 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).

[1182] 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.

[1183] 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.

[1184] 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).

[1185] 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.

[1186] 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.

[1187] 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.

[1188] 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.

[1189] 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.

[1190] 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.

[1191] 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."

[1192] This invention relates to a system that uses a generative AI model to analyze user inquiries and automatically generate personalized sightseeing tour plans. This system was developed to reduce the workload of tour guides and provide a high-quality guided experience to tourists visiting Japan.

[1193] Server-side processing

[1194] The server receives inquiries from users and analyzes their requests using the generative AI model. For example, if a user asks, "Please tell me about tourist spots in Kyoto," the server analyzes the request and extracts keywords. Based on the extracted keywords, the generative AI model automatically generates tourist spots and routes. Specifically, a tour plan including Kinkaku-ji Temple, Nijo Castle, Kiyomizu-dera Temple, etc. is created.

[1195] Next, the server selects an appropriate guide from among those registered in the guide database. It optimizes the tour plan based on the guide's characteristics and areas of expertise, and requests the guide for final confirmation. For example, a guide who is "expert on history" is selected, and the tour plan is adjusted to reflect that guide's characteristics. This tour plan is sent to the guide, who, after approval, begins preparations for the avatar guide.

[1196] Terminal side processing

[1197] The user's device uses GPS to collect current location information and sends it to the server. When the user reaches a designated tourist spot, the device automatically activates an avatar guide. The avatar guide learns the guide's gestures, speaking style, and facial expressions, providing a realistic guided experience. For example, when the user arrives at Kinkakuji Temple, the device automatically activates an avatar guide who explains the temple's history and highlights.

[1198] User operations

[1199] The user can review the generated tour plan and customize it as needed. For example, the user may request to exclude Nijo Castle and add a walk around Gion instead. Based on the user's request, the tour plan will be regenerated and presented to the user.

[1200] Users can also interact with the avatar guide while sightseeing. They can ask the avatar guide for additional information or questions. For example, if you are at Kiyomizu-dera Temple and ask, "Tell me about the architectural style of this temple," the avatar guide will provide that information in real time.

[1201] In this way, the system of this invention utilizes generative AI models, GPS, and avatar guides to provide an efficient and personalized tour guide experience, reducing the workload of tour guides and providing a highly satisfying service for tourists visiting Japan.

[1202] The processing flow will be explained below.

[1203] Step 1:

[1204] The server receives a query from the user. For example, if the user sends a request such as "Please tell me about tourist spots in Kyoto," the server receives this request.

[1205] Step 2:

[1206] The server uses the generated AI model to analyze the user's request, and extracts keywords (e.g., "Kyoto," "tourist spots," "historical places").

[1207] Step 3:

[1208] The server uses the generated AI model to obtain tourist spot information based on keywords (e.g., Kinkaku-ji Temple, Nijo Castle, Kiyomizu-dera Temple) and automatically generate a tour plan.

[1209] Step 4:

[1210] The server retrieves a list of relevant guides from the guide database, references the characteristics and areas of expertise of each guide, and selects the most suitable guide.

[1211] Step 5:

[1212] The server reflects the characteristics of the guide selected by the server in the tour plan, optimizing the explanation of tourist spots and routes. For example, it adjusts a tour plan rich in historical background based on a guide who is "knowledgeable about history."

[1213] Step 6:

[1214] The server sends the generated tour plan to the guide for final confirmation, who then checks and approves the plan.

[1215] Step 7:

[1216] The server prepares the avatar guide based on the approved tour plan. It learns the guide's gestures, speaking style, facial expressions, etc., and generates an avatar guide program.

[1217] Step 8:

[1218] The device uses the GPS sensor to obtain its current location, and periodically sends this information to the server to determine its location in real time.

[1219] Step 9:

[1220] When the device arrives at a tourist spot, the avatar guide will automatically launch. For example, when you arrive at Kinkakuji Temple, the avatar guide will explain the temple's highlights and history.

[1221] Step 10:

[1222] The user can view and customize the generated tour plan on their device, excluding specific spots or sending requests to add new spots.

[1223] Step 11:

[1224] The server regenerates the tour plan based on the user's request and provides the latest plan to the user.

[1225] Step 12:

[1226] While sightseeing, users can ask the avatar guide for additional information or questions. When questions are input via voice or text through the device, the avatar guide responds in real time.

[1227] Through these steps, the server, terminal, and user can work together to provide an efficient and personalized tourist guide experience.

[1228] Example 1

[1229] 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."

[1230] Conventional tourist guides are not personalized for users and often only provide standard tour plans. Furthermore, guides must deal with a large number of tourists, which is labor-intensive and results in inconsistent quality. Furthermore, it is often difficult to respond in real time when users ask questions or request changes during the tour. To solve these problems, a system that can respond to users' individual requests and interact with them in real time was needed.

[1231] 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.

[1232] In this invention, the server includes means for analyzing inquiries from users using a generative AI model and automatically generating a personalized sightseeing tour plan, means for optimizing the sightseeing tour plan based on the characteristics of the guide registered in the guide database and requesting final confirmation from the guide himself, means for the user's device to acquire current location information using GPS and automatically launch a virtual guide when the user arrives at a tourist destination based on the location information to provide sightseeing guidance, means for allowing the user to customize the generated tour plan and presenting a regenerated tour plan, and means for responding to additional information and questions through interaction with the user during sightseeing, thereby making it possible to provide a high-quality, real-time sightseeing guide experience that meets individual needs.

[1233] A "generative AI model" is an algorithm or system that uses artificial intelligence technology to analyze input data and generate information or content that meets a specific purpose.

[1234] A "personalized sightseeing tour plan" is a proposal of specific sightseeing routes and activities based on the user's individual tastes, interests and requests.

[1235] The "guide database" is a database in which information about multiple guides is registered, and is a collection of data including information such as the characteristics and areas of expertise of the guides.

[1236] A "virtual guide" is a digital assistant that uses artificial intelligence and virtual reality technology to provide tourist information as an alternative to a real guide.

[1237] "User Device" means a computing device carried or used by a User, such as a smartphone, tablet, or personal computer.

[1238] "GPS" stands for Global Positioning System, a satellite navigation system for determining your current location on Earth.

[1239] "Customizing a tour plan" means making modifications to the initial tour plan to suit the user's wishes and desires.

[1240] "Tourist information" refers to the act of providing information about tourist destinations and their surrounding areas, including explanations, historical background, attractions, and experiential activities.

[1241] "Interaction" refers to the process or action of exchanging information between a user and a system, and specifically includes responding to questions and providing additional information.

[1242] This invention relates to a system that uses a generative AI model to analyze user inquiries and automatically generate personalized sightseeing tour plans. The purpose of this system is to reduce the workload of tour guides and provide tourists with a high-quality guided experience.

[1243] First, the server receives a query from a user. Specifically, the server obtains text data entered by the user via the Internet. For example, if a query such as "Please tell me about tourist spots in Kyoto" is entered, the server receives this text.

[1244] Next, the server uses a generative AI model (e.g., GPT-4) to analyze the received inquiry. The server analyzes the text data and extracts keywords such as "Kyoto" and "tourist spots." Through this analysis, the server understands the user's intent and suggests appropriate tourist spots.

[1245] The server then automatically generates tourist spots and routes based on the extracted keywords. For example, the server generates a tour plan that includes Kinkaku-ji Temple, Nijo Castle, Kiyomizu-dera Temple, etc. This generated tour plan includes a series of tourist spots and their routes.

[1246] The server then references the guide database and selects the most suitable guide from among the registered guides. The guide database contains information such as the guide's characteristics, areas of expertise, and past reviews. For example, a guide who is "expert on history" may be selected. The server then requests the selected guide to make a final confirmation of the tour plan.

[1247] The user's device uses GPS to obtain their current location information. For example, when the user arrives at Kinkakuji Temple, the device sends that location information to the server. Based on this information, the server automatically launches a virtual guide when the user arrives at a tourist spot. The virtual guide learns the guide's gestures, speaking style, and facial expressions, providing a realistic guided experience. For example, after arriving at Kinkakuji Temple, the virtual guide plays audio and video explaining the temple's history and highlights.

[1248] Furthermore, the user can review the generated tour plan and customize it as needed. For example, if the user requests to remove Nijo Castle from the tour plan and add Gion instead, the server will receive this request and regenerate a new tour plan. This regenerated tour plan will be presented to the user.

[1249] While sightseeing, users can interact with the virtual guide for additional information or to answer questions. For example, while at Kiyomizu-dera Temple, users can ask, "Tell me about the architectural style of this temple," and the virtual guide will provide that information in real time.

[1250] Example prompt sentence:

[1251] User's question: "What are some tourist spots in Kyoto?"

[1252] Server analysis results: "Kyoto" "Tourist spots"

[1253] Generated tour plan: "Kinkaku-ji Temple, Nijo Castle, Kiyomizu-dera Temple"

[1254] Guide's special feature: "Knowledgeable about history"

[1255] User customization: "Exclude Nijo Castle and add Gion"

[1256] In this way, the present invention utilizes generative AI models, GPS, and virtual guides to provide an efficient and personalized tourist guide experience, reducing the workload of tour guides and providing a service that is highly satisfying for tourists.

[1257] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1258] Step 1:

[1259] The server receives a query from the user. When the user types "Please tell me about tourist spots in Kyoto" and presses the send button, the text data is sent to the server. This input data is received by the server in raw text format.

[1260] Specific behavior:

[1261] Open the app on the user's device and enter the inquiry.

[1262] Pressing the send button sends the text data to the server.

[1263] The server stores the received text data.

[1264] Step 2:

[1265] The server uses a generative AI model (e.g., GPT-4) to analyze the text of the received inquiry. Keywords such as "Kyoto" and "tourist spots" are extracted from the input text. This data analysis allows the server to accurately understand the user's intent.

[1266] Specific behavior:

[1267] The server inputs the text data into the generative AI model.

[1268] The generative AI model uses natural language processing to extract keywords.

[1269] The extracted keywords are stored on the server.

[1270] Step 3:

[1271] The server automatically generates tourist spots and routes based on the extracted keywords. Specifically, a tour plan is generated that includes Kinkaku-ji Temple, Nijo Castle, Kiyomizu-dera Temple, etc. The tour plan also includes the optimal route to each tourist spot.

[1272] Specific behavior:

[1273] The server searches the tourist spot database based on keywords.

[1274] Obtain information on related tourist spots and generate tour plans.

[1275] The generated tour plan is stored on the server.

[1276] Step 4:

[1277] The server refers to the guide database and selects the most suitable guide from among the registered guides. Based on the guide's characteristics (e.g., knowledge of history) and areas of expertise, the server optimizes the tour plan and requests the guide for final confirmation.

[1278] Specific behavior:

[1279] The server queries the guide database for requirements related to the tour plan.

[1280] Select the most suitable guide based on the characteristics and ratings of each guide.

[1281] Ask the selected guide to confirm the tour plan.

[1282] Step 5:

[1283] The user's device uses GPS to obtain their current location information and sends it to the server, which then uses it to launch the virtual guide when they arrive at a tourist spot.

[1284] Specific behavior:

[1285] The device's GPS function collects location information.

[1286] The collected location information is sent to a server.

[1287] The server analyzes the location information and identifies the destination.

[1288] Step 6:

[1289] When the user arrives at the designated tourist spot, the device automatically launches a virtual guide, who provides sightseeing guidance based on the information learned in advance to provide a realistic guided experience.

[1290] Specific behavior:

[1291] The device detects that you have reached a tourist spot.

[1292] Automatically launches the virtual guide app.

[1293] Virtual guides provide audio and video tours.

[1294] Step 7:

[1295] The user can review the generated tour plan and customize it as needed. For example, if the user requests to "exclude Nijo Castle and add a stroll around Gion," the tour plan will be regenerated based on the request and presented to the user.

[1296] Specific behavior:

[1297] The user enters customization information on the tour plan confirmation screen.

[1298] A request is sent to the server and a new tour plan is generated.

[1299] The regenerated tour plan is sent to the user's terminal and displayed.

[1300] Step 8:

[1301] While sightseeing, users can interact with the virtual guide for additional information or to answer questions. For example, while at Kiyomizu-dera Temple, users can ask, "Tell me about the architectural style of this temple," and the virtual guide will provide that information in real time.

[1302] Specific behavior:

[1303] Users type questions into the virtual guide.

[1304] The question is sent to the server and analyzed.

[1305] The virtual guide generates an answer and responds to the user.

[1306] (Application example 1)

[1307] 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."

[1308] A challenge with traditional tourism services is that creating tour plans and arranging guides requires a great deal of time and effort. It's also difficult to provide a personalized tourism experience tailored to each visitor, and in many cases, only general information is available. While tourism experiences in virtual environments are also advancing, there are still insufficient means to recreate a real guided experience. Furthermore, tour plans are often fixed and cannot be flexibly customized, making it difficult to fully meet the needs of visitors.

[1309] 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.

[1310] In this invention, the server includes means for analyzing inquiries from users using a generative AI model and automatically generating a personalized sightseeing tour plan, means for optimizing the sightseeing tour plan based on the characteristics of experts registered in a database and requesting final confirmation from the expert, means for the user's device to acquire current location information using location information acquisition means and automatically activate an avatar guide and provide information when the user reaches a specified point based on the location information, and means for providing information in a virtual environment based on the generated plan, thereby making it possible to efficiently provide visitors with a personalized, high-quality sightseeing experience.

[1311] A "generative AI model" is an artificial intelligence algorithm that analyzes inquiries from users and automatically generates optimal proposals and plans tailored to each user.

[1312] A "database" is a collection of systematic data that stores expert and related information and allows for searching and referencing.

[1313] An "expert" is an individual or group with advanced knowledge or skills in a particular field.

[1314] "Location information acquisition means" refers to a system that uses GPS or other location measurement technology to accurately acquire the user's current location.

[1315] The "avatar guide" is a virtual character that learns the gestures, speaking style, and facial expressions of the expert himself / herself, providing a realistic guide experience.

[1316] A "virtual environment" is a computer-generated virtual space in which users can experience the sensation of actually being in the environment through sight, hearing, etc.

[1317] A "personalized sightseeing tour plan" is a travel plan that includes sightseeing routes and attractions that are individually tailored to the user's preferences and interests.

[1318] "Information provision means" refers to a system or method for transmitting information to users according to their purpose at an appropriate time.

[1319] The system for realizing the present invention is configured by combining various types of hardware and software.

[1320] Server-side processing

[1321] The server includes the following means:

[1322] 1. Analyzing inquiries using a generative AI model: The server receives inquiries from users and analyzes their content using a generative AI model. This generative AI model uses natural language processing technology to extract the intent of the inquiry and important keywords. For example, if a user requests a virtual tour of Kyoto via voice or text, the server will extract keywords such as "Kyoto" and "virtual tour."

[1323] 2. A method for generating personalized sightseeing tour plans: Based on the extracted keywords, the server automatically generates tourist spots and routes. This generation utilizes the characteristics and planning information of experts registered in the database. For example, the generated plan includes tourist spots such as Kinkakuji Temple, Nijo Castle, and Kiyomizu-dera Temple.

[1324] 3. Request for final review: The generated tour plan is sent to the experts registered in the database for final review and optimization. The experts will review the plan details, make any necessary corrections, and then approve it.

[1325] Terminal side processing

[1326] The terminal includes the following means:

[1327] 1. Location information acquisition means: The user's device (e.g., a smartphone or head-mounted display) uses a location information acquisition means (such as GPS) to collect current location information. This information is sent to the server.

[1328] 2. Method of activating the avatar guide and providing information: When the user arrives at a specified location, the device automatically activates the avatar guide and provides detailed information about that location. The avatar guide learns the expert's gestures, speaking style, and facial expressions, providing a realistic and interactive guide experience. For example, when the user arrives at Kinkaku-ji Temple, it can instantly respond to questions such as, "Please tell me about the history of this building."

[1329] 3. Means of providing information in a virtual environment: The generated plan can be experienced in a virtual environment. Using a smartphone or a head-mounted display, users can obtain information about tourist spots as if they were actually there. For example, by using a device such as Oculus Quest, users can enjoy a highly immersive virtual tour of Kinkaku-ji Temple or Kiyomizu-dera Temple.

[1330] Usage example

[1331] Examples of prompts include:

[1332] "I'm currently at Kyoto Station. I'd like a sightseeing route including Kinkakuji Temple, Nijo Castle, and Kiyomizu-dera Temple, in 15-minute increments."

[1333] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1334] Step 1:

[1335] Receiving user inquiries

[1336] Input: The user inputs a prompt sentence such as "Please give me a virtual tour of Kyoto" through a smartphone or head-mounted display.

[1337] Processing: The terminal sends this prompt to the server.

[1338] Output: The prompt text arrives at the server.

[1339] Step 2:

[1340] Query Analysis

[1341] Input: The prompt text received by the server.

[1342] Processing: The server uses a generative AI model to analyze the prompt, specifically extracting important keywords (e.g., "Kyoto" or "virtual tour") using natural language processing.

[1343] Output: Extracted keywords.

[1344] Step 3:

[1345] Generate personalized tour plans

[1346] Input: Extracted keywords.

[1347] Processing: The server generates a personalized tour plan based on keywords, using the registered expert's characteristics and planning information, and referring to tourist spot information in the database (e.g., Kinkaku-ji Temple, Nijo Castle, Kiyomizu-dera Temple).

[1348] Output: Generated personalized sightseeing tour plan.

[1349] Step 4:

[1350] Optimize and finalize the tour plan

[1351] Input: The generated personalized sightseeing tour plan.

[1352] Processing: The server sends the generated tour plan to the experts registered in the database for optimization and final confirmation. The experts review the tour plan and make any necessary corrections.

[1353] Output: Final confirmed tour plan.

[1354] Step 5:

[1355] Obtaining location information

[1356] Input: The user's device uses a location information acquisition method such as GPS.

[1357] Processing: The device acquires the user's current location information and sends it to the server.

[1358] Output: Current location information.

[1359] Step 6:

[1360] Determine when a specific location has been reached and activate the ghost guide

[1361] Input: Current location and last confirmed tour plan.

[1362] Processing: The server determines whether the user has reached a specified point in the tour plan. If so, it sends a command to start the avatar guide to the terminal. The terminal starts the avatar guide and provides detailed information about the point.

[1363] Output: Information provided by avatar guidance.

[1364] Step 7:

[1365] Providing information in a virtual environment

[1366] Input: Final confirmed tour plan and avatar guide information.

[1367] Processing: The device provides information according to the tour plan in a virtual environment. The user experiences the virtual tour through their eyes and ears using a head-mounted display or other device.

[1368] Output: Tourist information in a virtual environment.

[1369] Step 8:

[1370] User Interaction and Customization

[1371] Input: The user's question or request for the avatar guide (e.g., "What is the history of this building?").

[1372] Processing: The device sends the user's request to the server, where the generative AI model analyzes it in real time and customizes the tour plan as needed.

[1373] Output: A customized tour plan with detailed information provided in real time.

[1374] 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.

[1375] This invention relates to a system that analyzes user inquiries and automatically generates personalized sightseeing tour plans. Furthermore, by combining it with an emotion engine that recognizes the user's emotions, it provides a higher quality and adaptive sightseeing guide experience.

[1376] Server-side processing

[1377] The server receives inquiries from users and analyzes their requests using a generative AI model. The request content is analyzed and keywords (e.g., "Kyoto," "tourist spots," "historical places") are extracted. The generative AI model obtains tourist spot information based on the keywords and automatically generates a tour plan. At the same time, the emotion engine analyzes the user's emotional data and further optimizes the optimal tour plan based on their emotions.

[1378] Next, the server retrieves a list of relevant guides from the guide database. It selects the most suitable guide based on their areas of expertise and characteristics, and tailors the tour plan to reflect their characteristics. For example, it creates a tour plan with a rich historical background based on a guide who is "expert in history." This tour plan is sent to the guide himself, who then confirms and approves it before preparing the avatar guide.

[1379] Terminal side processing

[1380] The user's device uses GPS to collect current location information and sends it to a server. When the user arrives at a tourist spot, the device automatically activates an avatar guide. The avatar guide learns the guide's gestures, speaking style, and facial expressions to provide a realistic guided experience. In addition, an emotion engine analyzes the user's facial expressions and tone of voice in real time, and the avatar guide dynamically adjusts the content and tone of the guidance based on the results. For example, if the user shows interest, the avatar guide will provide detailed explanations, but if it appears bored, it will provide a more basic explanation.

[1381] User operations

[1382] The user can view the generated tour plan on their device and customize it as needed. If they send a request to the server to exclude specific spots or add new spots, the server will regenerate the tour plan based on the request and provide the updated plan to the user.

[1383] While sightseeing, users can ask the avatar guide for additional information or questions. When questions are input via voice or text through the device, the avatar guide will respond in real time. Furthermore, an emotion engine analyzes the user's emotional data, and the content and tone of the response are flexibly adjusted according to the user's emotions. For example, a user who looks anxious will be given explanations in a friendly tone, while a user who is relaxed will be given a detailed explanation.

[1384] Specific examples

[1385] For example, if a user asks, "What are the best tourist spots in Kyoto?", the generative AI model analyzes the request and suggests a tour plan that includes Kinkaku-ji Temple, Nijo Castle, and Kiyomizu-dera Temple. The emotion engine analyzes the user's facial expressions and, if the user is excited, prioritizes particularly popular spots in the plan. When the user arrives at Kinkaku-ji Temple, the avatar guide explains the temple's history and highlights, but the emotion engine detects the user's interests and provides more detailed historical information.

[1386] In this way, the system of this invention combines generative AI models, GPS, avatar guides, and emotion engines to provide an efficient and adaptive tour guide experience, reducing the workload of tour guides and providing a service that is highly satisfying for tourists visiting Japan.

[1387] The processing flow will be explained below.

[1388] MODE FOR CARRYING OUT THE INVENTION

[1389] The specific processing steps for implementing (Claim 4) to (Claim 6) are as follows.

[1390] Step 1:

[1391] The server receives a query from the user. For example, if the user sends a request such as "What are the recommended tourist spots in Kyoto?", the server receives this request.

[1392] Step 2:

[1393] The server uses the generated AI model to analyze the user's request, and extracts keywords (e.g., "Kyoto," "tourist spots," "historical places").

[1394] Step 3:

[1395] The server uses the AI ​​model to obtain tourist spot information based on keywords and automatically generate a tour plan, such as a tour plan including Kinkaku-ji Temple, Nijo Castle, and Kiyomizu-dera Temple.

[1396] Step 4:

[1397] The server uses an emotion engine to analyze the user's emotions. For example, it extracts emotional data (excitement, joy, anxiety, etc.) from the facial photograph and voice recorded by the user when sending the message.

[1398] Step 5:

[1399] The server optimizes the generated tour plan based on the emotion engine. For example, if the user is excited, it will prioritize the most popular spots in the plan.

[1400] Step 6:

[1401] The server retrieves a list of relevant guides from the guide database, references the characteristics and areas of expertise of each guide, and selects the most suitable guide.

[1402] Step 7:

[1403] The server reflects the characteristics of the selected guide in the tour plan, optimizing the explanation of tourist spots and routes, and then sends the tour plan to the guide for confirmation and approval.

[1404] Step 8:

[1405] The server prepares the avatar guide based on the approved tour plan. It learns the guide's gestures, speaking style, facial expressions, etc., and generates an avatar guide program.

[1406] Step 9:

[1407] The device uses the GPS sensor to obtain its current location, and periodically sends this information to the server to determine its location in real time.

[1408] Step 10:

[1409] When the device arrives at a tourist spot, the avatar guide will automatically launch. For example, when you arrive at Kinkakuji Temple, the avatar guide will explain the temple's highlights and history.

[1410] Step 11:

[1411] The device uses an emotion engine to analyze the user's emotions in real time. For example, it uses a camera to analyze the user's facial expressions to determine whether they are excited or bored.

[1412] Step 12:

[1413] The avatar guide dynamically adjusts the content and tone of the guidance based on the analyzed emotional data. For example, if the user shows interest, it will provide detailed explanations, but if it appears bored, it will provide a more focused explanation.

[1414] Step 13:

[1415] The user can review the generated tour plan on their device and customize it as needed, for example, by submitting a request to exclude specific spots or add new spots.

[1416] Step 14:

[1417] The server regenerates the tour plan based on the user's request and provides the latest plan to the user.

[1418] Step 15:

[1419] While sightseeing, users can ask the avatar guide for additional information or questions. When questions are input via voice or text through the device, the avatar guide responds in real time.

[1420] Step 16:

[1421] The device analyzes emotional data in real time and flexibly adjusts the content and tone of responses according to the user's emotions. For example, it will explain things in a friendly tone to a user who looks anxious, and provide a detailed explanation to a user who is relaxed.

[1422] This allows the server, terminal, and user to work together to provide an efficient and personalized tourist guide experience.

[1423] Example 2

[1424] 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."

[1425] Conventional tourist guide systems often provide uniform tour plans and guide content, making it difficult to adapt to the individual needs and current circumstances of users. Furthermore, they lack the ability to dynamically adjust the guide content based on the user's emotions and reactions, making it difficult to provide a high-quality personalized experience. Therefore, there is a need to improve user satisfaction and reduce the workload of tour guides.

[1426] The identification process by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes: means for analyzing inquiries from users using a generative AI model and automatically generating a personalized sightseeing tour plan; means for optimizing the sightseeing tour plan based on the characteristics of the guide registered in the guide information database and requesting final confirmation from the guide himself; means for the user's terminal to acquire current location information using a location information system and automatically launch a virtual guide when the user arrives at a tourist destination based on the location information to provide tourist information; and means for analyzing the user's emotions using emotion data analysis means and dynamically adjusting the sightseeing tour plan and guidance content based on the analysis results. This makes it possible to provide a high-quality, adaptive sightseeing guide experience that meets the individual needs and emotions of the user.

[1427] A "generative AI model" is an algorithm that uses artificial intelligence to analyze user inquiries and generate information.

[1428] A "personalized sightseeing tour plan" is a travel plan that is customized based on the individual needs and preferences of the user.

[1429] A "guide information database" is a database that stores information about tourist guides.

[1430] "Guide characteristics" refer to the guide's individual attributes, such as his or her areas of expertise, expertise, and style.

[1431] "Location Information System" means any technology or device that measures, tracks, or displays geographic location.

[1432] A "virtual guide" is software or hardware that mimics the gestures, speaking style, and facial expressions of a real guide, providing a realistic guided experience.

[1433] "Tourist information" refers to providing visitors with information about tourist attractions, culture, history, etc.

[1434] "Emotion data analysis means" refers to technology or equipment that analyzes a user's facial expressions and tone of voice and recognizes their emotions.

[1435] "Dynamic adjustment" refers to changing settings and plans in real time in response to changing circumstances and conditions.

[1436] "Location information" refers to geographical data that indicates a specific location using technology such as GPS.

[1437] A "query" is a series of actions or inputs that a user makes to a system to request information.

[1438] "Optimization" refers to adjusting to obtain the best results under specific conditions or constraints.

[1439] This invention is a system that uses a generative AI model to analyze user inquiries and automatically generate personalized sightseeing tour plans. Furthermore, by combining it with an emotion data analysis method that recognizes user emotions, it provides a higher quality and adaptive sightseeing guide experience.

[1440] Server-side processing

[1441] The server receives inquiries from users and analyzes their requests using a generative AI model. Specifically, a common generative language model (e.g., GPT-4) is used as the generative AI model to analyze the user's inquiry. Keywords such as "Kyoto," "tourist spots," and "historical places" are extracted from the inquiry. Based on the extracted keywords, related tourist spot information is retrieved from a tourist database, and a tour plan is automatically generated.

[1442] Furthermore, a general emotion analysis API (e.g., emotion analysis engine) is used as a means of analyzing emotion data. The system analyzes the user's past emotion data and optimizes the tour plan according to emotions such as excitement and interest. This allows the system to prioritize the inclusion of tourist spots and content that the user will enjoy.

[1443] Next, the server retrieves relevant guide information from the guide information database. It selects an appropriate guide based on their areas of expertise and characteristics. For example, based on a guide who is "expert in history," it adds rich historical background information to the sightseeing tour plan. This tour plan is then sent to the guide himself for confirmation and approval, and the virtual guide begins preparation.

[1444] Terminal side processing

[1445] The user's device uses a location information system (e.g., GPS) to collect current location information and transmits it to a server. When the user arrives at a tourist spot, the device automatically launches a virtual guide. The virtual guide learns the guide's gestures, speaking style, and facial expressions, providing a realistic guided experience.

[1446] Furthermore, emotion data analysis means analyzes the user's facial expressions and tone of voice in real time, and the virtual guide dynamically adjusts the content and tone of the guidance based on the results. For example, if the user shows interest, the guide will provide detailed explanations, but if the user appears bored, the guide will provide a more concise explanation.

[1447] User operations

[1448] The user can view the generated tour plan on their device and customize it as needed. If they send a request to the server to exclude specific spots or add new spots, the server will regenerate the tour plan based on the request and provide the updated plan to the user.

[1449] While sightseeing, users can ask the virtual guide for additional information or questions. When questions are input via voice or text through the terminal, the virtual guide responds in real time. Furthermore, an emotional data analysis means analyzes the user's emotional data, and the content and tone of the response are flexibly adjusted according to the user's emotions. For example, a user who looks anxious may be given an explanation in a friendly tone, while a user who is relaxed may be given a detailed explanation.

[1450] Specific examples

[1451] For example, if a user asks, "What are the best tourist spots in Kyoto?", the generative AI model will analyze the request and suggest a tour plan that includes Kinkaku-ji Temple, Nijo Castle, and Kiyomizu-dera Temple. The emotional data analysis means will analyze the user's facial expressions, and if the user is excited, it will prioritize particularly popular spots in the plan.

[1452] When the user arrives at Kinkakuji Temple, the virtual guide will explain the temple's history and highlights, while the emotional data analysis method will detect the user's interest and provide more detailed historical information.In this way, the system integrates the generative AI model, location information system (e.g., GPS), virtual guide, and emotional data analysis method to provide an efficient and adaptive tourist guide experience.

[1453] Examples of prompt statements

[1454] "What are some recommended tourist spots in Kyoto?"

[1455] "I'd like to know more about Kinkakuji Temple."

[1456] "Create a tour plan centered around historical sites."

[1457] This system reduces the workload of tour guides and provides users with a highly satisfying tourist experience.

[1458] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1459] Step 1:

[1460] The user inputs a query such as "Please tell me the recommended tourist spots in Kyoto" into the terminal. The input query is sent from the terminal to the server.

[1461] Step 2:

[1462] The server inputs the received user inquiry into the generative AI model. The generative AI model analyzes the inquiry and extracts keywords such as "Kyoto," "tourist spots," and "recommended." The extracted keywords are passed to the next processing step.

[1463] Step 3:

[1464] The server searches the tourist database based on the extracted keywords to obtain information on related tourist spots. The information on tourist spots obtained from the database is then passed to the next processing step. For example, information on tourist spots such as Kinkakuji Temple, Nijo Castle, and Kiyomizu-dera Temple is obtained.

[1465] Step 4:

[1466] The server inputs the acquired tourist spot information into the generative AI model and automatically generates a personalized sightseeing tour plan. The generated tour plan is then passed to the next processing step. For example, it may include a route that includes Kinkaku-ji Temple, Nijo Castle, and Kiyomizu-dera Temple, as well as the duration of the tour.

[1467] Step 5:

[1468] The server uses emotion data analysis means to analyze the user's past emotion data. Based on the analysis results, it optimizes the priority of tourist spots and the contents of the tour plan to suit the user's emotions. The optimized tour plan is passed to the next processing step. For example, if the user is excited, it prioritizes particularly popular spots.

[1469] Step 6:

[1470] The server retrieves a list of guides from the guide information database. Based on the retrieved guide information, the tour plan is further optimized. The tour plan is sent to the guide himself for confirmation and approval. The approved tour plan is passed to the next processing step. For example, the tour plan may be adjusted to include historical background by a guide knowledgeable in history.

[1471] Step 7:

[1472] The user's device uses the location information system to obtain current location information and sends it to the server. The obtained location information is passed to the next processing step. For example, if the user is near Kinkakuji Temple, that location information is sent.

[1473] Step 8:

[1474] When the user arrives at a tourist spot, the device automatically launches a virtual guide, who provides realistic sightseeing guidance based on the tour plan, imitating the guide's gestures, speaking style, and facial expressions.

[1475] Step 9:

[1476] The user's device transmits the user's facial expressions and tone of voice to the emotion data analysis means in real time. The emotion data analysis means analyzes this data, and the virtual guide dynamically adjusts the content and tone of the guidance. For example, if the user shows interest, the virtual guide will provide a detailed explanation, but if the user appears bored, the virtual guide will provide a more basic explanation.

[1477] Step 10:

[1478] The user checks and customizes the tour plan on the device. For example, they can send a request to the server to exclude specific spots or add new spots. The server then regenerates the tour plan using the generative AI model and provides the updated tour plan to the user.

[1479] Step 11:

[1480] During the tour, the user can input additional information or questions to the virtual guide via voice or text. The virtual guide responds in real time, flexibly adjusting the content and tone of the guidance depending on the user's emotions. For example, if a user looks anxious, the guide will explain in a friendly tone, while if a user is relaxed, the guide will provide a detailed explanation.

[1481] In this way, each step of the system works together to provide the user with the optimal tourist guide experience.

[1482] (Application example 2)

[1483] 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."

[1484] Conventional tourist guide systems were unable to adapt to users' emotions and interests, making it difficult to provide the optimal tourist experience for each individual user. It was also difficult to quickly provide individually customized tour plans in response to user inquiries. This resulted in increased workload for tour guides and reduced user satisfaction.

[1485] 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.

[1486] In this invention, the server includes means for analyzing inquiries from users using a generative AI model and automatically generating a personalized sightseeing tour plan, means for optimizing the sightseeing tour plan based on the characteristics of the guide registered in the guide database and requesting final confirmation from the guide himself, means for the user's device to acquire current location information using GPS and automatically activate an avatar guide when the user arrives at a tourist spot based on the location information to provide sightseeing guidance, and means for analyzing user emotion data and dynamically adjusting the content and tone of the sightseeing guidance according to the emotion. This makes it possible to provide an optimal tour plan for each user and provide a high-quality guide experience through real-time emotional response.

[1487] A "generative AI model" is an artificial intelligence model that analyzes user inquiries and generates personalized information.

[1488] A "guide database" is a database for storing information about tourist destinations and tour spots, as well as the characteristics and information of related guides.

[1489] The "avatar guide" is a virtual guide that learns the gestures, speaking style, and facial expressions of the actual guide, providing a realistic guided experience.

[1490] "GPS" is an abbreviation for Global Positioning System, a system for obtaining location information.

[1491] "Emotion data" is data that indicates the emotional state of the user, obtained by analyzing the user's facial expression, tone of voice, and the like.

[1492] "Tourist information" is a service that provides information about tourist destinations and tour spots.

[1493] A "personalized sightseeing tour plan" is a plan that proposes customized sightseeing routes and spots based on the individual preferences and interests of each user.

[1494] "Dynamic adjustment" means changing the content in response to the user's state and situation, which change in real time.

[1495] "Regenerating a tour plan" means recreating an existing plan based on the user's new needs or emotional state.

[1496] The system based on this invention is designed to provide a personalized sightseeing tour planning and guiding experience. The system includes a generative AI model, a guide database, an avatar guide, a GPS, and an emotion engine. Each component and its operation are described in detail below.

[1497] Server-side processing

[1498] The server receives inquiries from users and analyzes their requests using a generative AI model. The generative AI model uses natural language processing technology to analyze the request and extract keywords. For example, it can extract keywords such as "Kyoto," "tourist spots," and "historical places." Based on these keywords, it obtains tourist spot information and automatically generates a personalized sightseeing tour plan. At the same time, an emotion engine analyzes the user's emotional data and further optimizes the optimal tour plan based on their emotions.

[1499] Next, the server retrieves a list of relevant guides from the guide database. The guide database stores information about tourist destinations and tour spots, as well as the characteristics and information of the associated guides. The server selects the most suitable guide based on the guide's areas of expertise and characteristics, and adjusts the tour plan to reflect those characteristics. For example, a tour plan with a rich historical background is created based on a guide who is "expert in history." This tour plan is sent to the guide himself, who confirms and approves it, and the final plan is decided.

[1500] Terminal side processing

[1501] The user's device uses GPS to collect current location information and sends it to a server. When the user arrives at a tourist spot, the device automatically activates an avatar guide. The avatar guide is a virtual guide that has learned the guide's gestures, speaking style, and facial expressions, providing a realistic guide experience. In addition, an emotion engine analyzes the user's facial expressions and tone of voice in real time, and the avatar guide dynamically adjusts the content and tone of the guidance based on the results. For example, if the user shows interest, the avatar guide will provide detailed explanations, but if it appears bored, it will provide a more basic explanation.

[1502] User operations

[1503] Users can review the generated tour plan on their device and customize it as needed. If they send a request to the server to exclude specific spots or add new ones, the server will regenerate the tour plan based on the request and provide the user with the latest plan. During the tour, users can also ask the avatar guide additional information or questions. When questions are entered via voice or text through the device, the avatar guide will respond in real time. Furthermore, an emotion engine analyzes the user's emotional data, and the content and tone of the response are flexibly adjusted according to the user's emotions.

[1504] Examples of concrete examples and prompts

[1505] Examples:

[1506] When a user arrives at a historical temple that is one of the tourist attractions, they may request, "Please tell me more about the history of this temple." In response to this request, the generative AI model provides detailed historical information, and the emotion engine analyzes the user's interests. If the user shows interest, more specific information is provided.

[1507] Example prompt sentence:

[1508] "The user wants detailed historical information about a historic temple. Please provide a detailed explanation."

[1509] "Analyze the user's facial expressions to determine whether they are currently interested or bored."

[1510] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1511] Step 1:

[1512] The server receives a query from a user.

[1513] Input: User's inquiry (e.g., "What are some recommended tourist spots in Kyoto?")

[1514] Specific operation: The server obtains the query content for analysis and passes it to the generative AI model.

[1515] Step 2:

[1516] The server uses a generative AI model to analyze the user's inquiry and extract keywords.

[1517] Input: User's inquiry

[1518] Specific operation: The generative AI model uses natural language processing technology to extract keywords such as "Kyoto," "tourist spots," and "historical places" from the inquiry content.

[1519] Output: Extracted keywords

[1520] Step 3:

[1521] The server acquires tourist spot information based on the extracted keywords and automatically generates a personalized sightseeing tour plan.

[1522] Input: Extracted keywords

[1523] Specific operation: The server accesses the tourist spot database, collects relevant tourist spot information, and generates a tour plan.

[1524] Output: A personalized sightseeing tour plan

[1525] Step 4:

[1526] The server retrieves a list of relevant guides from a guide database and optimizes the tour plan.

[1527] Input: personalized sightseeing tour plans, guide database

[1528] Specific operation: The server adjusts the tour plan based on the information in the guide database, reflecting the guide's areas of expertise and characteristics.

[1529] Output: Optimized tour plan

[1530] Step 5:

[1531] The server then sends the optimized tour plan to the guide for confirmation and approval.

[1532] Input: Optimized tour plan

[1533] Specific operation: The server sends the tour plan to the guide and waits for approval.

[1534] Output: Guide's approved tour plan

[1535] Step 6:

[1536] The device uses GPS to collect current location information and transmits it to the server.

[1537] Input: GPS data of the device

[1538] Specific operation: The device periodically obtains location information and sends it to the server.

[1539] Output: Current location information

[1540] Step 7:

[1541] When the user arrives at a tourist spot, the device automatically launches the avatar guide.

[1542] Input: Current location of the user

[1543] Specific operation: The device detects arrival at a tourist spot based on location information and activates the avatar guide.

[1544] Output: Launching the avatar guide

[1545] Step 8:

[1546] The avatar guide provides tourist information based on the guide's own gestures, speaking style, and facial expressions.

[1547] Input: Tour plan, tourist spot information, guide characteristics data

[1548] Specific actions: The avatar guide reproduces the characteristics of the guide himself and provides commentary on tourist spots.

[1549] Output: Tourist information for the user

[1550] Step 9:

[1551] The server uses an emotion engine to analyze the user's emotion data and dynamically adjusts the content and tone of the tourist information according to the emotion.

[1552] Input: User's facial expression data, voice tone

[1553] Specific operation: The server uses the emotion engine to analyze the user's emotions in real time and provides feedback to the avatar guide.

[1554] Output: Dynamically adjusted tourist information content and tone

[1555] Step 10:

[1556] The user can check the generated tour plan on the terminal and customize it as necessary.

[1557] Input: User customization request

[1558] Specific operation: The user checks the tour plan on the terminal and inputs change requests. The server regenerates the tour plan based on the requests.

[1559] Output: Customized tour plan

[1560] 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.

[1561] 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.

[1562] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1563] 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.

[1564] 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.

[1565] 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.

[1566] 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).

[1567] 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.

[1568] 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."

[1569] 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.

[1570] 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).

[1571] 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.

[1572] 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.

[1573] 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.

[1574] 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.

[1575] 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.

[1576] 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.

[1577] 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.

[1578] 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.

[1579] 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.

[1580] 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.

[1581] The following is further disclosed regarding the above embodiment.

[1582] (Claim 1)

[1583] A means to analyze user inquiries using a generative AI model and automatically generate personalized sightseeing tour plans;

[1584] A means for optimizing the sightseeing tour plan based on the characteristics of the guide registered in the guide database and requesting final confirmation from the guide himself;

[1585] A means for the user's terminal to acquire current location information using GPS, and automatically activate the avatar guide when the user arrives at a tourist spot based on the location information, thereby providing tourist information;

[1586] A system including:

[1587] (Claim 2)

[1588] 2. The system according to claim 1, wherein the avatar guide learns the gestures, speaking style, and facial expressions of the guide himself / herself to provide a realistic guide experience.

[1589] (Claim 3)

[1590] 10. The system of claim 1, further comprising means for a user to review and customize the tour plan.

[1591] "Example 1"

[1592] (Claim 1)

[1593] A means to analyze user inquiries using a generative AI model and automatically generate personalized sightseeing tour plans;

[1594] A means for optimizing the sightseeing tour plan based on the characteristics of the guide registered in the guide database and requesting final confirmation from the guide himself;

[1595] A means for the user's terminal to acquire current location information using GPS, and automatically activate a virtual guide when the user arrives at a tourist spot based on the location information, thereby providing tourist information;

[1596] A means for allowing a user to customize the generated tour plan and presenting the regenerated tour plan;

[1597] A means of interacting with users during their visit to provide additional information or respond to questions;

[1598] A system including:

[1599] (Claim 2)

[1600] The system according to claim 1, wherein the virtual guide learns the guide's own gestures, speaking style, and facial expressions to provide a realistic guided experience.

[1601] (Claim 3)

[1602] 10. The system of claim 1, further comprising means for a user to review and customize the tour plan.

[1603] "Application Example 1"

[1604] (Claim 1)

[1605] A means to analyze user inquiries using a generative AI model and automatically generate personalized sightseeing tour plans;

[1606] A means for optimizing the tourist tour plan based on the characteristics of the experts registered in the database and requesting the experts themselves for final confirmation;

[1607] a means for the user's terminal to acquire current location information using a location information acquisition means, and automatically start the avatar guide and provide information when the user arrives at a point designated based on the location information;

[1608] a means for providing information in a virtual environment based on the generated plan;

[1609] A system including:

[1610] (Claim 2)

[1611] The system according to claim 1, wherein the avatar guide learns the expert's gestures, speaking style, and facial expressions to provide a realistic guidance experience.

[1612] (Claim 3)

[1613] 10. The system of claim 1, further comprising means for a user to review and customize the generated plan.

[1614] "Example 2: Combining Emotion Engines"

[1615] (Claim 1)

[1616] A means to analyze user inquiries using a generative AI model and automatically generate personalized sightseeing tour plans;

[1617] A means for optimizing the sightseeing tour plan based on the characteristics of the guide registered in the guide information database and requesting final confirmation from the guide himself;

[1618] A means for the user's terminal to acquire current location information using a location information system, and automatically activate a virtual guide when the user arrives at a tourist spot based on the location information, thereby providing tourist information;

[1619] means for analyzing the user's emotions using emotion data analysis means and dynamically adjusting the sightseeing tour plan and guide content based on the analysis results;

[1620] A system including:

[1621] (Claim 2)

[1622] The system according to claim 1, wherein the virtual guide learns the guide's own gestures, speaking style, and facial expressions to provide a realistic guided experience.

[1623] (Claim 3)

[1624] 10. The system of claim 1, further comprising means for a user to review and customize the tour plan.

[1625] "Application example 2 when combining emotion engines"

[1626] (Claim 1)

[1627] A means to analyze user inquiries using a generative AI model and automatically generate personalized sightseeing tour plans;

[1628] A means for optimizing the sightseeing tour plan based on the characteristics of the guide registered in the guide database and requesting final confirmation from the guide himself;

[1629] A means for the user's terminal to acquire current location information using GPS, and automatically activate the avatar guide when the user arrives at a tourist spot based on the location information, thereby providing tourist information;

[1630] A means for analyzing user emotion data and dynamically adjusting the content and tone of the tourist information according to the emotion;

[1631] A system including:

[1632] (Claim 2)

[1633] The system of claim 1, wherein the avatar guide learns the guide's gestures, speaking style, and facial expressions to provide a realistic guide experience, and dynamically adjusts the content of the guidance based on the user's emotional data.

[1634] (Claim 3)

[1635] 10. The system of claim 1, further comprising means for a user to confirm and customize the tour plan, and regenerating the tour plan based on the user's emotion data. [Explanation of symbols]

[1636] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. A means for analyzing user inquiries using a generative AI model and automatically generating personalized sightseeing tour plans; A means for optimizing the sightseeing tour plan based on the characteristics of the guide registered in the guide database and requesting final confirmation from the guide himself; a means for the user's terminal to acquire current location information using GPS, and automatically activate an avatar guide when the user arrives at a tourist spot based on the location information, thereby providing tourist information; A system including:

2. The system according to claim 1, wherein the avatar guide learns the gestures, speaking style, and facial expressions of the guide himself / herself to provide a realistic guide experience.

3. The system of claim 1 further comprising means for a user to review and customize the tour plan.

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