System

Abstract

An object of the system according to the embodiment is to provide deep understanding in response to an individual question of a tourist.SOLUTION: A system according to an embodiment includes a generation AI, a tour conductor, an interactive response unit, and a multi-language support unit. The generation AI generates an animation or cartoon character as a tour conductor. The tour conductor generated by the generation AI guides the tourist. In the interactive response unit, the tour conductor interactively responds to the question of the tourist. In the multi-language support unit, the interactive response unit supports a plurality of languages.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] Conventional technologies have had the problem that tourist information is formulaic and it is difficult to respond to individual questions from tourists.

[0005] The system according to the embodiment aims to respond to tourists' individual questions and provide them with a deep understanding. [Means for solving the problem]

[0006] The system according to the embodiment comprises a generation AI, a tour conductor, an interactive response unit, and a multi-language support unit. The generation AI generates anime or manga characters as tour conductors. The tour conductors generated by the generation AI provide guidance to tourists. The interactive response unit allows the tour conductor to interactively respond to tourists' questions. The multi-language support unit allows the interactive response unit to support multiple languages. [Effects of the Invention]

[0007] The system according to the embodiment can respond to tourists' individual questions and provide in-depth understanding. [Brief explanation of the drawings]

[0008] [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. DETAILED DESCRIPTION OF THE INVENTION

[0009] 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.

[0010] First, the terms used in the following description will be explained.

[0011] 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, the 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), an APU (Accelerated Processing Unit), or a TPU (Tensor Processing Unit).

[0012] 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.

[0013] 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.

[0014] 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), and Bluetooth (registered trademark).

[0015] 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."

[0016] [First embodiment] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0017] 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.

[0018] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and 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).

[0019] 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.

[0020] The reception device 38 includes a touch panel 38A and a microphone 38B, and receives user input. The touch panel 38A detects contact with a pointer (for example, a pen or a finger) to receive user input by the touch of the pointer. 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 (see FIG. 2) acquires the data indicating the user input.

[0021] Output device 40 includes a display 40A and a speaker 40B, and presents data to a user by outputting the data in a form of expression that the user can perceive (e.g., audio and / or text). Display 40A displays visible information such as text and images in accordance with instructions from processor 46. Speaker 40B outputs audio in accordance with instructions from processor 46. 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.

[0022] 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.

[0023] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0024] 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.

[0025] 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. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0026] In the smart device 14, the specific processing is performed by the processor 46. The storage 50 stores a specific processing program 60. The specific processing program 60 is used together with the specific processing program 56 by the data processing system 10. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the smart device 14 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0027] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device (e.g., a generation server) may have the data generation model 58. In this case, the data processing device 12 obtains a processing result (prediction result, etc.) using the data generation model 58 by communicating with the server device having the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device owned by a user (e.g., a mobile phone, a robot, a home appliance, etc.). Next, an example of processing by the data processing system 10 according to the first embodiment will be described.

[0028] (Example 1) The pilgrimage tour system according to an embodiment of the present invention uses generative AI to allow anime and manga characters to act as tour conductors, providing interactive responses and multilingual support to tourists. This allows the pilgrimage tour system to provide tourists with a deeper understanding of local culture and history and overcome language barriers.

[0029] A sacred site pilgrimage tour system according to an embodiment includes a generation AI, a tour conductor, an interactive response unit, and a multi-language support unit. The generation AI generates an anime or manga character as the tour conductor. For example, the generation AI generates a character using deep learning or GAN (generative artificial network). The generation AI can also generate characters of a specific genre or style. The tour conductor is a character generated by the generation AI that guides tourists. For example, the tour conductor provides guidance based on data related to tourist destination information, history, and culture. The tour conductor can also provide standardized tourist information to tourists. The interactive response unit enables the tour conductor to interactively respond to tourists' questions. For example, the interactive response unit analyzes tourists' questions using natural language processing or speech recognition technology and generates appropriate answers. The interactive response unit can also display visuals or videos related to tourists' questions. The multi-language support unit supports multiple languages. For example, the multi-language support unit uses a translation engine to understand tourists' questions and generate answers in the appropriate language. In addition, the multi-language support unit can handle not only the tourist's native language but also local dialects and slang. This allows the pilgrimage tour system according to the embodiment to provide tourists with a deeper understanding of local culture and history and overcome language barriers. For example, if a tourist asks a question in English, the generation AI can understand the question and provide an answer in appropriate English. Also, if a tourist asks a question in the Kansai dialect, the generation AI can provide an answer in the Kansai dialect. Furthermore, if a tourist speaks beginner-level Japanese, the generation AI can provide an answer in simple Japanese.

[0030] The interactive response unit can display relevant visuals and videos in response to tourists' questions, helping them visually understand. For example, the generation AI in the interactive response unit displays relevant visuals in response to tourists' questions. For example, in response to the question, "What are the features of this building?", it displays photos or drawings of the building. The generation AI in the interactive response unit can also display relevant videos in response to tourists' questions. For example, in response to the question, "What is the significance of this festival?", it can display a video of the festival. This makes it possible to provide visual information in response to tourists' questions, helping them understand.

[0031] The interactive response unit can suggest other related tourist attractions and events in response to tourists' questions. For example, the generation AI in the interactive response unit suggests other related tourist attractions in response to tourists' questions. For example, in response to the question, "Are there any other recommended tourist attractions near this location?", it can introduce nearby tourist attractions. The interactive response unit also suggests related events in response to tourists' questions. For example, in response to the question, "What events are taking place at this location?", it can introduce events being held nearby. This makes it possible to enrich the tourist experience by suggesting related tourist attractions and events in response to tourists' questions.

[0032] The multi-language support unit can handle not only the tourist's native language but also regional dialects and slang. For example, the multi-language support unit allows the generation AI to handle not only the tourist's native language but also regional dialects. For example, if a tourist asks a question in Kansai dialect, the generation AI can provide an answer in Kansai dialect. The multi-language support unit can also allow the generation AI to answer the tourist's question using regional slang. For example, if a tourist asks a question in youth slang, the generation AI can provide an answer in youth slang. This allows for more natural communication by handling not only the tourist's native language but also regional dialects and slang.

[0033] The multi-language support unit can switch between simple words and technical terms depending on the tourist's language level. For example, the generation AI analyzes the tourist's language level and provides answers using simple words. For example, if the tourist speaks beginner-level Japanese, it can provide answers in simple Japanese. The multi-language support unit can also switch between technical terms depending on the tourist's language level. For example, if the tourist speaks advanced-level Japanese, it can provide detailed answers using technical terms. This can help tourists understand by providing appropriate language depending on their language level.

[0034] The generating AI can take in real-time data from tourist destinations and provide guidance based on the latest information. For example, the generating AI can obtain weather information for tourist destinations in real time and suggest appropriate clothing and items to tourists. For example, if rain is forecast, it can advise tourists to bring an umbrella. The generating AI can also obtain event information for tourist destinations in real time and provide tourists with the latest event information. For example, it can provide information on the schedule of events being held at tourist destinations. This makes it possible to provide tourists with appropriate guidance by providing the latest information based on real-time data from tourist destinations.

[0035] Generative AI can learn tourists' past visit history and interests and propose individually customized tours. For example, generative AI can analyze tourists' past visit history and propose tourist spots that they have not visited. For example, it can recommend new tourist spots based on data on tourist spots visited in the past. Generative AI can also learn tourists' interests and propose tourist spots based on their interests. For example, if a tourist is interested in historical sites, it can recommend historical tourist spots. This makes it possible to improve the tourist experience by learning tourists' past visit history and interests and proposing individually customized tours.

[0036] Generative AI can generate 3D models of tourist attractions and provide virtual tours. For example, generative AI can generate 3D models of tourist attractions to allow tourists to experience virtual tours using virtual reality (VR) devices. For example, it can create detailed 3D models of tourist attractions and provide VR tours. Generative AI can also provide 360-degree camera footage based on the 3D models of tourist attractions. For example, it can capture a panoramic view of a tourist attraction with a 360-degree camera, allowing tourists to freely change their perspective and explore the attraction. This allows it to generate 3D models of tourist attractions and provide virtual tours, providing tourists with a new experience.

[0037] Generative AI can monitor tourists' health and suggest appropriate rest spots. For example, generative AI can monitor a tourist's step count and suggest rest spots when a certain number of steps is exceeded. For example, if a tourist takes more than 10,000 steps, it can guide them to places with cafes and benches. Generative AI can also monitor a tourist's heart rate and suggest rest spots when their heart rate rises. For example, it can guide them to rest spots when their heart rate exceeds a certain level. In this way, by monitoring tourists' health and suggesting appropriate rest spots, it is possible to ensure their safety and comfort.

[0038] The generation AI can answer tourists' questions by citing the reviews and experiences of other tourists. For example, the generation AI answers tourists' questions by citing the reviews of other tourists. For example, in response to the question, "What is the atmosphere like in this place?", the generation AI can answer by citing the reviews of other tourists. The generation AI can also answer tourists' questions by citing the experiences of other tourists. For example, in response to the question, "What was your experience at this place?", the generation AI can answer by citing the experiences of other tourists. In this way, by citing the reviews and experiences of other tourists, it is possible to provide tourists with reliable information.

[0039] Generative AI can provide answers to tourists' questions in collaboration with local guides and experts. Generative AI can provide answers to tourists' questions in collaboration with local guides. For example, to the question, "What is the history of this place?", it can answer based on information from local guides. Generative AI can also provide answers to tourists' questions in collaboration with experts. For example, to the question, "What are the features of this building?", it can answer based on information from architectural experts. By collaborating with local guides and experts, it is possible to provide tourists with more accurate and detailed information.

[0040] Generative AI can provide detailed information about historical events and people at tourist destinations. For example, in response to the question, "What important events happened at this location?", generative AI can explain specific events. Generative AI can also provide detailed information about historical people at tourist destinations. For example, in response to the question, "Who are the famous people associated with this location?", it can provide information about historical people. This helps deepen tourists' understanding by providing detailed information about historical events and people at tourist destinations.

[0041] The generative AI can provide quizzes and games related to the culture and history of a tourist destination, thereby deepening tourists' understanding. The generative AI can provide quizzes related to the culture and history of a tourist destination, thereby deepening tourists' understanding. For example, it can provide quizzes in the form of "Try a quiz about the history of this place." The generative AI can also provide games related to the culture and history of a tourist destination. For example, it can provide games in the form of "Try playing a simulation game to learn about the culture of this place." In this way, by providing quizzes and games related to the culture and history of a tourist destination, tourists can deepen their understanding.

[0042] The generative AI can suggest workshops and experiential events related to the culture and history of a tourist destination. For example, the generative AI can suggest workshops related to the culture and history of a tourist destination. For example, it can suggest workshops in the form of "Let's participate in this workshop to learn about the culture of this place." The generative AI can also suggest experiential events related to the culture and history of a tourist destination. For example, it can suggest experiential events in the form of "Let's participate in this event to experience the history of this place." In this way, by suggesting workshops and experiential events related to the culture and history of a tourist destination, tourists can deepen their understanding.

[0043] The generative AI can recommend documentaries and movies related to the culture and history of a tourist destination. For example, the generative AI can recommend documentaries related to the culture and history of a tourist destination. For example, it can recommend documentaries in the form of "Watch this documentary to learn about the history of this place." The generative AI can also recommend movies related to the culture and history of a tourist destination. For example, it can recommend movies in the form of "Watch this movie to understand the culture of this place." This allows tourists to deepen their understanding by recommending documentaries and movies related to the culture and history of a tourist destination.

[0044] The generation AI can suggest other related tourist attractions and events in response to tourists' questions. For example, the generation AI can suggest other related tourist attractions in response to a tourist question, such as, "Are there any other recommended tourist attractions near this location?", and introduce nearby tourist attractions. The generation AI can also suggest related events in response to a tourist question, such as, "What events are taking place in this location?", and introduce nearby events. This makes it possible to enrich the tourist experience by suggesting related tourist attractions and events in response to tourists' questions.

[0045] Generative AI can provide answers to tourists' questions in collaboration with local guides and experts. Generative AI can provide answers to tourists' questions in collaboration with local guides. For example, to the question, "What is the history of this place?", it can answer based on information from local guides. Generative AI can also provide answers to tourists' questions in collaboration with experts. For example, to the question, "What are the features of this building?", it can answer based on information from architectural experts. By collaborating with local guides and experts, it is possible to provide tourists with more accurate and detailed information.

[0046] The generative AI can provide quizzes and games related to the culture and history of a tourist destination, thereby deepening tourists' understanding. The generative AI can provide quizzes related to the culture and history of a tourist destination, thereby deepening tourists' understanding. For example, it can provide quizzes in the form of "Try a quiz about the history of this place." The generative AI can also provide games related to the culture and history of a tourist destination. For example, it can provide games in the form of "Try playing a simulation game to learn about the culture of this place." In this way, by providing quizzes and games related to the culture and history of a tourist destination, tourists can deepen their understanding.

[0047] The generative AI can suggest workshops and experiential events related to the culture and history of a tourist destination. For example, the generative AI can suggest workshops related to the culture and history of a tourist destination. For example, it can suggest workshops in the form of "Let's participate in this workshop to learn about the culture of this place." The generative AI can also suggest experiential events related to the culture and history of a tourist destination. For example, it can suggest experiential events in the form of "Let's participate in this event to experience the history of this place." In this way, by suggesting workshops and experiential events related to the culture and history of a tourist destination, tourists can deepen their understanding.

[0048] The generative AI can recommend documentaries and movies related to the culture and history of a tourist destination. For example, the generative AI can recommend documentaries related to the culture and history of a tourist destination. For example, it can recommend documentaries in the form of "Watch this documentary to learn about the history of this place." The generative AI can also recommend movies related to the culture and history of a tourist destination. For example, it can recommend movies in the form of "Watch this movie to understand the culture of this place." This allows tourists to deepen their understanding by recommending documentaries and movies related to the culture and history of a tourist destination.

[0049] Generative AI can provide audio guidance by a character's voice actor, creating a more realistic experience. For example, generative AI can provide audio guidance by a character's voice actor, allowing tourists to hear the guidance in the character's voice. For example, a voice actor for a popular anime character could provide guidance at a tourist spot. Generative AI can also provide real-time audio guidance by a character's voice actor. For example, when a tourist asks a question, the character's voice actor can provide an answer in real time. This makes it possible to provide tourists with a more realistic experience by providing audio guidance by a character's voice actor.

[0050] The generation AI can provide guidance based on the character's story and background, deepening the connection with tourist destinations. The generation AI can, for example, provide guidance based on the character's story, deepening the connection with tourist destinations. For example, it can guide users to places that appear in the character's story and explain their background. The generation AI can also provide guidance based on the character's background. For example, it can guide users to tourist destinations related to the character's past or setting. This allows the generation AI to deepen the connection with tourist destinations by providing guidance based on the character's story and background.

[0051] The generating AI can work with a guide dressed in character cosplay to fuse the real and virtual worlds. For example, the generating AI can work with a guide dressed in character cosplay to provide tourists with a fusion experience of the real and virtual worlds. For example, a guide dressed in character cosplay will give a tour of the location, with the generating AI providing virtual support. The generating AI can also work with a guide dressed in character cosplay to provide tourists with an interactive experience. For example, when a tourist asks a question, the cosplaying guide will answer in real time, and the generating AI can provide additional information. In this way, by working with a guide dressed in character cosplay, it is possible to provide a fusion experience of the real and virtual worlds.

[0052] The generation AI can recommend character goods and related products, increasing tourists' desire to purchase. The generation AI can, for example, recommend character goods, increasing tourists' desire to purchase. For example, it can introduce character goods sold at tourist spots and encourage purchases. The generation AI can also recommend character-related products. For example, it can introduce character accessories and clothing, increasing tourists' desire to purchase. In this way, the recommendation of character goods and related products can increase tourists' desire to purchase.

[0053] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0054] The pilgrimage tour system can further include a health management unit that monitors the health of tourists. The health management unit, for example, monitors the number of steps and heart rate of tourists and suggests rest points if certain standards are exceeded. For example, if a tourist exceeds 10,000 steps, it can guide them to places with cafes and benches. It can also suggest resting if the tourist's heart rate rises. In this way, the safety and comfort of tourists can be ensured by monitoring the tourist's health and suggesting appropriate resting points.

[0055] The pilgrimage tour system may further include a 3D model generation unit that generates 3D models of tourist destinations and provides virtual tours. The 3D model generation unit, for example, creates detailed 3D models of tourist destinations, allowing tourists to experience virtual tours using a virtual reality (VR) device. For example, the unit may capture a panoramic view of the tourist destination with a 360-degree camera, allowing tourists to freely change their viewpoint to explore the destination. This allows the system to generate 3D models of tourist destinations and provide virtual tours, providing tourists with a new experience.

[0056] The sacred site pilgrimage tour system can further include a history learning unit that learns the tourist's past visit history and interests and proposes individually customized tours. The history learning unit, for example, analyzes the tourist's past visit history and proposes tourist spots that the tourist has not visited. For example, it can recommend new tourist spots based on data on tourist spots visited in the past. It can also learn the tourist's interests and propose tourist spots based on the tourist's interests. For example, if the tourist is interested in historical sites, it can recommend historical tourist spots. This makes it possible to improve the tourist experience by learning the tourist's past visit history and interests and proposing individually customized tours.

[0057] The pilgrimage tour system can further include an entertainment unit that provides quizzes and games related to the culture and history of tourist destinations. The entertainment unit, for example, provides quizzes related to the culture and history of tourist destinations to deepen tourists' understanding. For example, the quiz can be presented in the form of "Try a quiz about the history of this place." Games related to the culture and history of tourist destinations can also be provided. For example, games can be provided in the form of "Play a simulation game to learn about the culture of this place." In this way, providing quizzes and games related to the culture and history of tourist destinations can deepen tourists' understanding.

[0058] The sacred site pilgrimage tour system can further include an audio guidance unit that provides audio guidance by a character's voice actor. The audio guidance unit, for example, provides audio guidance by a character's voice actor, allowing tourists to hear the guidance in the character's voice. For example, a voice actor of a popular anime character may provide guidance at a tourist spot. It is also possible to provide real-time audio guidance by the character's voice actor. For example, when a tourist asks a question, the character's voice actor can provide an answer in real time. In this way, audio guidance by a character's voice actor can be provided, providing tourists with a more realistic experience.

[0059] The sacred place pilgrimage tour system can further include a story guide unit that provides guidance based on the character's story and background. The story guide unit, for example, provides guidance based on the character's story, deepening the connection with tourist destinations. For example, it guides users to places that appear in the character's story and explains their backgrounds. It can also provide guidance based on the character's background. For example, it can guide users to tourist destinations related to the character's past or setting. In this way, by providing guidance based on the character's story and background, it can deepen the connection with tourist destinations.

[0060] The processing flow of the first embodiment will be briefly explained below.

[0061] Step 1: The generative AI generates anime or manga characters as tour conductors. For example, the generative AI can generate characters using deep learning or GAN (generative artificial network) to generate characters in a specific genre or style. Step 2: The tour conductor is a character generated by the AI ​​that guides tourists. For example, the guide can provide standard tourist information based on tourist destination information, history, and cultural data. Step 3: The interactive response section allows the tour conductor to interactively respond to tourists' questions. For example, natural language processing and speech recognition technologies can be used to analyze the tourists' questions and generate appropriate answers. Related visuals and videos can also be displayed. Step 4: The multi-language support section allows the interactive response section to respond to multiple languages. For example, it uses a translation engine to understand the tourist's question and generate an answer in the appropriate language. This can accommodate not only the tourist's native language, but also local dialects and slang.

[0062] (Example 2) The pilgrimage tour system according to an embodiment of the present invention uses generative AI to allow anime and manga characters to act as tour conductors, providing interactive responses and multilingual support to tourists. This allows the pilgrimage tour system to provide tourists with a deeper understanding of local culture and history and overcome language barriers.

[0063] A sacred site pilgrimage tour system according to an embodiment includes a generation AI, a tour conductor, an interactive response unit, and a multi-language support unit. The generation AI generates an anime or manga character as the tour conductor. For example, the generation AI generates a character using deep learning or GAN (generative artificial network). The generation AI can also generate characters of a specific genre or style. The tour conductor is a character generated by the generation AI that guides tourists. For example, the tour conductor provides guidance based on data related to tourist destination information, history, and culture. The tour conductor can also provide standardized tourist information to tourists. The interactive response unit enables the tour conductor to interactively respond to tourists' questions. For example, the interactive response unit analyzes tourists' questions using natural language processing or speech recognition technology and generates appropriate answers. The interactive response unit can also display visuals or videos related to tourists' questions. The multi-language support unit supports multiple languages. For example, the multi-language support unit uses a translation engine to understand tourists' questions and generate answers in the appropriate language. In addition, the multi-language support unit can handle not only the tourist's native language but also local dialects and slang. This allows the pilgrimage tour system according to the embodiment to provide tourists with a deeper understanding of local culture and history and overcome language barriers. For example, if a tourist asks a question in English, the generation AI can understand the question and provide an answer in appropriate English. Also, if a tourist asks a question in the Kansai dialect, the generation AI can provide an answer in the Kansai dialect. Furthermore, if a tourist speaks beginner-level Japanese, the generation AI can provide an answer in simple Japanese.

[0064] The interactive response unit can display relevant visuals and videos in response to tourists' questions, helping them visually understand. For example, the generation AI in the interactive response unit displays relevant visuals in response to tourists' questions. For example, in response to the question, "What are the features of this building?", it displays photos or drawings of the building. The generation AI in the interactive response unit can also display relevant videos in response to tourists' questions. For example, in response to the question, "What is the significance of this festival?", it can display a video of the festival. This makes it possible to provide visual information in response to tourists' questions, helping them understand.

[0065] The interactive response unit can suggest other related tourist attractions and events in response to tourists' questions. For example, the generation AI in the interactive response unit suggests other related tourist attractions in response to tourists' questions. For example, in response to the question, "Are there any other recommended tourist attractions near this location?", it can introduce nearby tourist attractions. The interactive response unit also suggests related events in response to tourists' questions. For example, in response to the question, "What events are taking place at this location?", it can introduce events being held nearby. This makes it possible to enrich the tourist experience by suggesting related tourist attractions and events in response to tourists' questions.

[0066] The multi-language support unit can handle not only the tourist's native language but also regional dialects and slang. For example, the multi-language support unit allows the generation AI to handle not only the tourist's native language but also regional dialects. For example, if a tourist asks a question in Kansai dialect, the generation AI can provide an answer in Kansai dialect. The multi-language support unit can also allow the generation AI to answer the tourist's question using regional slang. For example, if a tourist asks a question in youth slang, the generation AI can provide an answer in youth slang. This allows for more natural communication by handling not only the tourist's native language but also regional dialects and slang.

[0067] The multi-language support unit can switch between simple words and technical terms depending on the tourist's language level. For example, the generation AI analyzes the tourist's language level and provides answers using simple words. For example, if the tourist speaks beginner-level Japanese, it can provide answers in simple Japanese. The multi-language support unit can also switch between technical terms depending on the tourist's language level. For example, if the tourist speaks advanced-level Japanese, it can provide detailed answers using technical terms. This can help tourists understand by providing appropriate language depending on their language level.

[0068] The generating AI can take in real-time data from tourist destinations and provide guidance based on the latest information. For example, the generating AI can obtain weather information for tourist destinations in real time and suggest appropriate clothing and items to tourists. For example, if rain is forecast, it can advise tourists to bring an umbrella. The generating AI can also obtain event information for tourist destinations in real time and provide tourists with the latest event information. For example, it can provide information on the schedule of events being held at tourist destinations. This makes it possible to provide tourists with appropriate guidance by providing the latest information based on real-time data from tourist destinations.

[0069] Generative AI can learn tourists' past visit history and interests and propose individually customized tours. For example, generative AI can analyze tourists' past visit history and propose tourist spots that they have not visited. For example, it can recommend new tourist spots based on data on tourist spots visited in the past. Generative AI can also learn tourists' interests and propose tourist spots based on their interests. For example, if a tourist is interested in historical sites, it can recommend historical tourist spots. This makes it possible to improve the tourist experience by learning tourists' past visit history and interests and proposing individually customized tours.

[0070] Generative AI can generate 3D models of tourist attractions and provide virtual tours. For example, generative AI can generate 3D models of tourist attractions to allow tourists to experience virtual tours using virtual reality (VR) devices. For example, it can create detailed 3D models of tourist attractions and provide VR tours. Generative AI can also provide 360-degree camera footage based on the 3D models of tourist attractions. For example, it can capture a panoramic view of a tourist attraction with a 360-degree camera, allowing tourists to freely change their perspective and explore the attraction. This allows it to generate 3D models of tourist attractions and provide virtual tours, providing tourists with a new experience.

[0071] Generative AI can monitor tourists' health and suggest appropriate rest spots. For example, generative AI can monitor a tourist's step count and suggest rest spots when a certain number of steps is exceeded. For example, if a tourist takes more than 10,000 steps, it can guide them to places with cafes and benches. Generative AI can also monitor a tourist's heart rate and suggest rest spots when their heart rate rises. For example, it can guide them to rest spots when their heart rate exceeds a certain level. In this way, by monitoring tourists' health and suggesting appropriate rest spots, it is possible to ensure their safety and comfort.

[0072] Generative AI can analyze tourists' emotional states in real time and provide optimal guidance. For example, generative AI can analyze tourists' facial expressions and suggest rest spots if they appear tired. For example, it can detect fatigue from a tourist's complexion and facial expression and guide them to places with cafes and benches. Generative AI can also analyze tourists' voices and analyze their emotional states. For example, it can infer emotions from the tone and speed of a tourist's voice and provide appropriate guidance. This makes it possible to analyze tourists' emotional states in real time and provide optimal guidance, thereby improving the tourist experience.

[0073] The generation AI can answer tourists' questions by citing the reviews and experiences of other tourists. For example, the generation AI answers tourists' questions by citing the reviews of other tourists. For example, in response to the question, "What is the atmosphere like in this place?", the generation AI can answer by citing the reviews of other tourists. The generation AI can also answer tourists' questions by citing the experiences of other tourists. For example, in response to the question, "What was your experience at this place?", the generation AI can answer by citing the experiences of other tourists. In this way, by citing the reviews and experiences of other tourists, it is possible to provide tourists with reliable information.

[0074] Generative AI can provide answers to tourists' questions in collaboration with local guides and experts. Generative AI can provide answers to tourists' questions in collaboration with local guides. For example, to the question, "What is the history of this place?", it can answer based on information from local guides. Generative AI can also provide answers to tourists' questions in collaboration with experts. For example, to the question, "What are the features of this building?", it can answer based on information from architectural experts. By collaborating with local guides and experts, it is possible to provide tourists with more accurate and detailed information.

[0075] The generative AI can collect the emotional reactions of other tourists to a tourist's question and provide the most relatable answer. For example, the generative AI can collect the emotional reactions of other tourists to a tourist's question and provide the most relatable answer. For example, to the question, "What is the recommended restaurant in this place?", it can answer based on the emotional reactions of other tourists. The generative AI can also analyze the emotional reactions of other tourists to a tourist's question and provide the most relatable answer. For example, to the question, "What is the atmosphere of this place?", it can answer based on the emotional reactions of other tourists. This can improve tourist satisfaction by providing the most relatable answer based on the emotional reactions of other tourists.

[0076] Generative AI can provide detailed information about historical events and people at tourist destinations. For example, in response to the question, "What important events happened at this location?", generative AI can explain specific events. Generative AI can also provide detailed information about historical people at tourist destinations. For example, in response to the question, "Who are the famous people associated with this location?", it can provide information about historical people. This helps deepen tourists' understanding by providing detailed information about historical events and people at tourist destinations.

[0077] The generative AI can provide quizzes and games related to the culture and history of a tourist destination, thereby deepening tourists' understanding. The generative AI can provide quizzes related to the culture and history of a tourist destination, thereby deepening tourists' understanding. For example, it can provide quizzes in the form of "Try a quiz about the history of this place." The generative AI can also provide games related to the culture and history of a tourist destination. For example, it can provide games in the form of "Try playing a simulation game to learn about the culture of this place." In this way, by providing quizzes and games related to the culture and history of a tourist destination, tourists can deepen their understanding.

[0078] The generative AI can suggest workshops and experiential events related to the culture and history of a tourist destination. For example, the generative AI can suggest workshops related to the culture and history of a tourist destination. For example, it can suggest workshops in the form of "Let's participate in this workshop to learn about the culture of this place." The generative AI can also suggest experiential events related to the culture and history of a tourist destination. For example, it can suggest experiential events in the form of "Let's participate in this event to experience the history of this place." In this way, by suggesting workshops and experiential events related to the culture and history of a tourist destination, tourists can deepen their understanding.

[0079] The generative AI can recommend documentaries and movies related to the culture and history of a tourist destination. For example, the generative AI can recommend documentaries related to the culture and history of a tourist destination. For example, it can recommend documentaries in the form of "Watch this documentary to learn about the history of this place." The generative AI can also recommend movies related to the culture and history of a tourist destination. For example, it can recommend movies in the form of "Watch this movie to understand the culture of this place." This allows tourists to deepen their understanding by recommending documentaries and movies related to the culture and history of a tourist destination.

[0080] The generative AI can estimate tourists' emotions and adjust the drone's operation program based on those emotions. For example, the generative AI can analyze tourists' facial expressions and voices to analyze their emotions toward a particular character. For example, if a tourist has positive emotions toward a particular character, the generative AI can organize the tour around that character. The generative AI can also adjust the drone's operation program based on tourists' emotions. For example, if a tourist has positive emotions toward a particular character, the drone's flight pattern can be set around that character. This makes it possible to improve the tourist experience by adjusting the operation program based on tourists' emotions.

[0081] The generation AI can suggest other related tourist attractions and events in response to tourists' questions. For example, the generation AI can suggest other related tourist attractions in response to a tourist question, such as, "Are there any other recommended tourist attractions near this location?", and introduce nearby tourist attractions. The generation AI can also suggest related events in response to a tourist question, such as, "What events are taking place in this location?", and introduce nearby events. This makes it possible to enrich the tourist experience by suggesting related tourist attractions and events in response to tourists' questions.

[0082] Generative AI can provide answers to tourists' questions in collaboration with local guides and experts. Generative AI can provide answers to tourists' questions in collaboration with local guides. For example, to the question, "What is the history of this place?", it can answer based on information from local guides. Generative AI can also provide answers to tourists' questions in collaboration with experts. For example, to the question, "What are the features of this building?", it can answer based on information from architectural experts. By collaborating with local guides and experts, it is possible to provide tourists with more accurate and detailed information.

[0083] The generative AI can collect the emotional reactions of other tourists to a tourist's question and provide the most relatable answer. For example, the generative AI can collect the emotional reactions of other tourists to a tourist's question and provide the most relatable answer. For example, to the question, "What is the recommended restaurant in this place?", it can answer based on the emotional reactions of other tourists. The generative AI can also analyze the emotional reactions of other tourists to a tourist's question and provide the most relatable answer. For example, to the question, "What is the atmosphere of this place?", it can answer based on the emotional reactions of other tourists. This can improve tourist satisfaction by providing the most relatable answer based on the emotional reactions of other tourists.

[0084] The generative AI can provide quizzes and games related to the culture and history of a tourist destination, thereby deepening tourists' understanding. The generative AI can provide quizzes related to the culture and history of a tourist destination, thereby deepening tourists' understanding. For example, it can provide quizzes in the form of "Try a quiz about the history of this place." The generative AI can also provide games related to the culture and history of a tourist destination. For example, it can provide games in the form of "Try playing a simulation game to learn about the culture of this place." In this way, by providing quizzes and games related to the culture and history of a tourist destination, tourists can deepen their understanding.

[0085] The generative AI can suggest workshops and experiential events related to the culture and history of a tourist destination. For example, the generative AI can suggest workshops related to the culture and history of a tourist destination. For example, it can suggest workshops in the form of "Let's participate in this workshop to learn about the culture of this place." The generative AI can also suggest experiential events related to the culture and history of a tourist destination. For example, it can suggest experiential events in the form of "Let's participate in this event to experience the history of this place." In this way, by suggesting workshops and experiential events related to the culture and history of a tourist destination, tourists can deepen their understanding.

[0086] The generative AI can recommend documentaries and movies related to the culture and history of a tourist destination. For example, the generative AI can recommend documentaries related to the culture and history of a tourist destination. For example, it can recommend documentaries in the form of "Watch this documentary to learn about the history of this place." The generative AI can also recommend movies related to the culture and history of a tourist destination. For example, it can recommend movies in the form of "Watch this movie to understand the culture of this place." This allows tourists to deepen their understanding by recommending documentaries and movies related to the culture and history of a tourist destination.

[0087] Generative AI can estimate tourists' emotions and provide experiences related to the culture and history of a tourist destination based on those emotions. For example, generative AI can analyze tourists' emotions and, if they have positive feelings toward a particular culture or history, provide them with experiences related to that culture or history. For example, it can suggest experiential events related to the culture or history that the tourist is interested in. Generative AI can also provide experiences related to the culture and history of a tourist destination based on tourists' emotions. For example, if a tourist has positive feelings toward a particular culture or history, it can suggest a workshop related to that culture or history. This makes it possible to improve the tourist experience by providing experiences related to culture and history based on tourists' emotions.

[0088] Generative AI can provide audio guidance by a character's voice actor, creating a more realistic experience. For example, generative AI can provide audio guidance by a character's voice actor, allowing tourists to hear the guidance in the character's voice. For example, a voice actor for a popular anime character could provide guidance at a tourist spot. Generative AI can also provide real-time audio guidance by a character's voice actor. For example, when a tourist asks a question, the character's voice actor can provide an answer in real time. This makes it possible to provide tourists with a more realistic experience by providing audio guidance by a character's voice actor.

[0089] The generation AI can provide guidance based on the character's story and background, deepening the connection with tourist destinations. The generation AI can, for example, provide guidance based on the character's story, deepening the connection with tourist destinations. For example, it can guide users to places that appear in the character's story and explain their background. The generation AI can also provide guidance based on the character's background. For example, it can guide users to tourist destinations related to the character's past or setting. This allows the generation AI to deepen the connection with tourist destinations by providing guidance based on the character's story and background.

[0090] The generating AI can work with a guide dressed in character cosplay to fuse the real and virtual worlds. For example, the generating AI can work with a guide dressed in character cosplay to provide tourists with a fusion experience of the real and virtual worlds. For example, a guide dressed in character cosplay will give a tour of the location, with the generating AI providing virtual support. The generating AI can also work with a guide dressed in character cosplay to provide tourists with an interactive experience. For example, when a tourist asks a question, the cosplaying guide will answer in real time, and the generating AI can provide additional information. In this way, by working with a guide dressed in character cosplay, it is possible to provide a fusion experience of the real and virtual worlds.

[0091] The generation AI can recommend character goods and related products, increasing tourists' desire to purchase. The generation AI can, for example, recommend character goods, increasing tourists' desire to purchase. For example, it can introduce character goods sold at tourist spots and encourage purchases. The generation AI can also recommend character-related products. For example, it can introduce character accessories and clothing, increasing tourists' desire to purchase. In this way, the recommendation of character goods and related products can increase tourists' desire to purchase.

[0092] The generative AI can estimate tourists' emotions and suggest events and activities related to characters based on those emotions. For example, if a tourist analyzes their emotions and has positive feelings toward a particular character, the generative AI can suggest events related to that character. For example, it can recommend fan meetings and autograph sessions for the character. The generative AI can also suggest activities related to characters based on tourists' emotions. For example, it can recommend photo opportunities with characters or gaming events. This can improve the tourist experience by suggesting events and activities related to characters based on tourists' emotions.

[0093] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0094] The pilgrimage tour system can further include a health management unit that monitors the health of tourists. The health management unit, for example, monitors the number of steps and heart rate of tourists and suggests rest points if certain standards are exceeded. For example, if a tourist exceeds 10,000 steps, it can guide them to places with cafes and benches. It can also suggest resting if the tourist's heart rate rises. In this way, the safety and comfort of tourists can be ensured by monitoring the tourist's health and suggesting appropriate resting points.

[0095] The sacred site pilgrimage tour system can further include an emotion estimation unit that estimates the tourist's emotion and adjusts the guidance content based on that emotion. The emotion estimation unit, for example, analyzes the tourist's facial expression and voice and suggests rest spots if the tourist appears tired. For example, it can detect fatigue from the tourist's complexion and expression and guide the tourist to places with cafes and benches. It can also estimate the tourist's emotion from the tourist's tone and speed of voice and provide appropriate guidance. This allows the tourist's emotional state to be analyzed in real time and the optimal guidance to be provided, improving the tourist experience.

[0096] The pilgrimage tour system may further include a 3D model generation unit that generates 3D models of tourist destinations and provides virtual tours. The 3D model generation unit, for example, creates detailed 3D models of tourist destinations, allowing tourists to experience virtual tours using a virtual reality (VR) device. For example, the unit may capture a panoramic view of the tourist destination with a 360-degree camera, allowing tourists to freely change their viewpoint to explore the destination. This allows the system to generate 3D models of tourist destinations and provide virtual tours, providing tourists with a new experience.

[0097] The sacred site pilgrimage tour system can further include a history learning unit that learns the tourist's past visit history and interests and proposes individually customized tours. The history learning unit, for example, analyzes the tourist's past visit history and proposes tourist spots that the tourist has not visited. For example, it can recommend new tourist spots based on data on tourist spots visited in the past. It can also learn the tourist's interests and propose tourist spots based on the tourist's interests. For example, if the tourist is interested in historical sites, it can recommend historical tourist spots. This makes it possible to improve the tourist experience by learning the tourist's past visit history and interests and proposing individually customized tours.

[0098] The sacred site pilgrimage tour system can further include an unmanned aircraft control unit that estimates the tourist's emotions and adjusts the unmanned aircraft's operation program based on those emotions. The unmanned aircraft control unit, for example, analyzes the tourist's facial expressions and voice to analyze the tourist's emotions toward a specific character. For example, if the tourist has positive emotions toward a specific character, the unmanned aircraft's flight pattern can be set to center around that character. This allows the tourist experience to be improved by adjusting the operation program based on the tourist's emotions.

[0099] The pilgrimage tour system can further include an entertainment unit that provides quizzes and games related to the culture and history of tourist destinations. The entertainment unit, for example, provides quizzes related to the culture and history of tourist destinations to deepen tourists' understanding. For example, the quiz can be presented in the form of "Try a quiz about the history of this place." Games related to the culture and history of tourist destinations can also be provided. For example, games can be provided in the form of "Play a simulation game to learn about the culture of this place." In this way, providing quizzes and games related to the culture and history of tourist destinations can deepen tourists' understanding.

[0100] The sacred site pilgrimage tour system can further include an event suggestion unit that estimates the tourist's emotions and suggests events and activities related to characters based on the emotions. The event suggestion unit, for example, analyzes the tourist's emotions, and if the tourist has positive emotions toward a particular character, suggests an event related to that character. For example, it can recommend a fan meeting or autograph session for the character. It can also suggest activities related to the character based on the tourist's emotions. For example, it can recommend photo opportunities with the character or a game event. This makes it possible to improve the tourist experience by suggesting events and activities related to characters based on the tourist's emotions.

[0101] The sacred site pilgrimage tour system can further include an audio guidance unit that provides audio guidance by a character's voice actor. The audio guidance unit, for example, provides audio guidance by a character's voice actor, allowing tourists to hear the guidance in the character's voice. For example, a voice actor of a popular anime character may provide guidance at a tourist spot. It is also possible to provide real-time audio guidance by the character's voice actor. For example, when a tourist asks a question, the character's voice actor can provide an answer in real time. In this way, audio guidance by a character's voice actor can be provided, providing tourists with a more realistic experience.

[0102] The sacred site pilgrimage tour system can further include an experience provision unit that estimates the tourist's emotions and provides experiences related to the culture and history of the tourist destination based on those emotions. The experience provision unit, for example, analyzes the tourist's emotions, and if the tourist has positive emotions toward a particular culture or history, provides an experience related to that culture or history. For example, it suggests an experiential event related to the culture or history in which the tourist is interested. It can also provide experiences related to the culture and history of the tourist destination based on the tourist's emotions. For example, if the tourist has positive emotions toward a particular culture or history, it can suggest a workshop related to that culture or history. In this way, the tourist experience can be improved by providing experiences related to culture and history based on the tourist's emotions.

[0103] The sacred place pilgrimage tour system can further include a story guide unit that provides guidance based on the character's story and background. The story guide unit, for example, provides guidance based on the character's story, deepening the connection with tourist destinations. For example, it guides users to places that appear in the character's story and explains their backgrounds. It can also provide guidance based on the character's background. For example, it can guide users to tourist destinations related to the character's past or setting. In this way, by providing guidance based on the character's story and background, it can deepen the connection with tourist destinations.

[0104] The processing flow of the second embodiment will be briefly explained below.

[0105] Step 1: The generative AI generates anime or manga characters as tour conductors. For example, the generative AI can generate characters using deep learning or GAN (generative artificial network) to generate characters in a specific genre or style. Step 2: The tour conductor is a character generated by the AI ​​that guides tourists. For example, the guide can provide standard tourist information based on tourist destination information, history, and cultural data. Step 3: The interactive response section allows the tour conductor to interactively respond to tourists' questions. For example, natural language processing and speech recognition technologies can be used to analyze the tourists' questions and generate appropriate answers. Related visuals and videos can also be displayed. Step 4: The multi-language support section allows the interactive response section to respond to multiple languages. For example, it uses a translation engine to understand the tourist's question and generate an answer in the appropriate language. This can accommodate not only the tourist's native language, but also local dialects and slang.

[0106] 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.

[0107] 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> Examples of generative AIs include the data generation model 58, such as a neural network model (e.g., a neural network model), and a neural network model (e.g., a neural network model). 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 speech, text data indicating text, and image data indicating an image is also input to the data generation model 58. 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. The specification processing unit 290 performs the above-mentioned specification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0108] Furthermore, the processing by the data processing system 10 described above is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart device 14, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart device 14. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the smart device 14 or an external device, and the smart device 14 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0109] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0110] 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.

[0111] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and 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 and / or a LAN.

[0112] 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.

[0113] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0114] 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 user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0115] 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.

[0116] 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.

[0117] 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.

[0118] 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. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0119] In the smart glasses 214, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the smart glasses 214 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0120] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0121] 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.

[0122] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. 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. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0123] The data processing system 210 according to the second embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 210 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart glasses 214, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart glasses 214. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the smart glasses 214 or an external device, etc., and the smart glasses 214 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0124] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0125] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0126] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and 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 and / or a LAN.

[0127] 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.

[0128] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0129] 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 user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0130] 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.

[0131] 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.

[0132] 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.

[0133] 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. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0134] In the headset type terminal 314, the identification process is performed by the processor 46. A identification program 60 is stored in the storage 50. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as a control unit 46A in accordance with the identification program 60 executed on the RAM 48. Note that the headset type terminal 314 may also have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0135] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0136] 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.

[0137] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. 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. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0138] The data processing system 310 according to the third embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 310 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the headset type terminal 314, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the headset type terminal 314. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the headset type terminal 314 or an external device, etc., and the headset type terminal 314 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0139] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0140] 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.

[0141] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and 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 and / or a LAN.

[0142] 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.

[0143] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0144] 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 image sensor or a CCD image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0145] 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.

[0146] The control object 443 includes a display device, LEDs in the eyes, and motors that drive 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.

[0147] 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.

[0148] 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.

[0149] 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. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0150] In the robot 414, the processor 46 performs the identification process. A identification program 60 is stored in the storage 50. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as a control unit 46A in accordance with the identification program 60 executed on the RAM 48. The robot 414 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0151] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0152] 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.

[0153] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. 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. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0154] The data processing system 410 according to the fourth embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 410 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the robot 414, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the robot 414. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the robot 414 or an external device, etc., and the robot 414 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0155] 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.

[0156] FIG. 9 illustrates an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and behaviors arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion encompasses both emotions 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.

[0157] 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.

[0158] 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).

[0159] 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 expressed, and when they approach the ideal, a state of pleasure is expressed. Emotions can also be created for robots, cars, 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 expressed, and when they approach the ideal, a state of pleasure is expressed. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on speech emotion recognition and brain physiological signal analysis systems for emotions, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the area called "reaction," where sensation is dominant. The right half of the emotion map lists emotions belonging to the area called "situation," where situational awareness is dominant.

[0160] 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."

[0161] 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.

[0162] In the above embodiment, an example was given in which a specific process is performed by one computer 22, but the technology disclosed herein is not limited to this, and distributed processing of the specific process may be performed by multiple computers including computer 22.

[0163] 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.

[0164] 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.

[0165] 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.

[0166] The hardware resource for executing a specific process can be any of the following types of processors: A processor, for example, is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. A processor also includes 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.

[0167] The hardware resource that executes the specific process 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 process may be a single processor.

[0168] 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.

[0169] 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.

[0170] In the above example, the first to fourth embodiments have been described separately, but some or all of these embodiments may be combined. The smart device 14, smart glasses 214, headset terminal 314, and robot 414 are merely examples, and they may be combined, or other devices may be used. In the above example, the first and second embodiments have been described separately, but they may be combined.

[0171] 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.

[0172] 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. [Explanation of symbols]

[0173] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot

Claims

1. Generative AI that uses generative AI to generate anime and manga characters as tour conductors, A tour conductor generated by the generating AI provides guidance to tourists; an interactive response unit that enables the tour conductor to interactively respond to questions from tourists; The interactive response unit is provided with a multi-language support unit that supports a plurality of languages. A system characterized by:

2. The generated AI is Importing real-time data on tourist spots and providing guidance based on the latest information 2. The system of claim 1.

3. The interactive response unit In response to the tourist's question, relevant visuals and videos are displayed to help them understand visually.

2. The system of claim 1.

4. The multi-language support unit Supports not only the tourists' native language but also local dialects and slang 2. The system of claim 1.

5. The generated AI is Providing detailed information about historical events and people at tourist destinations 2. The system of claim 1.

6. The generated AI is Analyze the emotional state of the tourist in real time and provide optimal guidance 2. The system of claim 1.

7. The generated AI is Collect other tourists' emotional responses to the tourist's question and provide the most relatable answer 2. The system of claim 1.

8. The generated AI is Estimating the tourist's feelings and providing an experience related to the culture and history of the tourist destination based on the feelings 2. The system of claim 1.

Images