System

Abstract

An object of a system according to an embodiment is to interactively respond to an individual question of a tourist and provide a rich sightseeing experience.SOLUTION: A system according to an embodiment includes a sightseeing guide part, a multi-language support part, and an AR display part. A sightseeing guide part performs sightseeing guide by using the generated AI and interactively responds to the question of the tourist. The multi-language support unit supports a plurality of languages. The AR display unit displays the character over the smartphone.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 interactively respond to individual questions from tourists.

[0005] The system according to the embodiment aims to provide tourists with a rich sightseeing experience by interactively responding to their individual questions. [Means for solving the problem]

[0006] The system according to the embodiment comprises a tourist information unit, a multi-language support unit, and an AR display unit. The tourist information unit uses a generation AI to provide tourist information and interactively respond to tourists' questions. The multi-language support unit supports multiple languages. The AR display unit displays characters on a smartphone. [Effects of the Invention]

[0007] The system according to the embodiment can interactively respond to individual questions from tourists and provide a rich tourist experience. [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 sacred site pilgrimage tour conductor system according to an embodiment of the present invention uses generative AI to provide sightseeing guidance using anime and manga characters, interactively responds to tourists' questions, provides multi-language support, and uses AR technology to make the characters appear on-site. As a result, the sacred site pilgrimage tour conductor system provides tourists with interactive sightseeing guidance, overcomes language barriers, and allows them to take photos with the characters.

[0029] A sacred site pilgrimage tour conductor system according to an embodiment includes a tourist information section that provides tourist information using a generation AI, a tourist information section that interactively responds to tourists' questions, a multi-language support section that supports multiple languages, and an AR display section that displays characters on a smartphone. The tourist information section provides tourist information using the generation AI. For example, the generation AI explains the history and highlights of tourist spots. The tourist information section also interactively responds to tourists' questions. For example, if a tourist asks, "Please tell me the history of this place," the generation AI provides information about the history of that place. The multi-language support section supports multiple languages, including major languages ​​such as Japanese, English, Chinese, and Korean. The AR display section displays characters on a smartphone. For example, when a tourist points their smartphone camera at a specific location, a character appears at that location. This allows the sacred site pilgrimage tour conductor system to provide tourists with interactive tourist information, overcome language barriers, and take photos with the characters.

[0030] The tourist information unit can learn a tourist's past visit history or interests and provide individually customized tourist information. For example, the generation AI analyzes a tourist's past visit history and provides customized tourist information based on the places visited and themes of interest. For example, for a tourist who is interested in historical places, related historical spots will be given priority. Furthermore, the generation AI proposes individually customized tourist routes based on data on places the tourist has visited in the past and events the tourist has participated in. For example, for a tourist who is interested in art, a route centered on museums and galleries will be provided. Furthermore, the generation AI learns the tourist's interests and provides individually customized tourist information. For example, for a tourist who is interested in food, local specialty dishes and restaurants will be introduced. This makes it possible to provide customized tourist information based on the tourist's interests.

[0031] The tourist information section can propose optimal sightseeing routes based on the tourists' real-time location information and provide advice to avoid crowds. In the tourist information section, for example, the generation AI acquires the tourists' real-time location information and proposes the optimal sightseeing route from their current location. For example, the generation AI guides the tourists to tourist spots within walking distance from their current location. The generation AI also provides advice to avoid crowds based on the tourists' location information. For example, the generation AI guides the tourists to relatively empty spots, avoiding crowded tourist spots. The generation AI also analyzes the tourists' real-time location information and proposes the optimal sightseeing route. For example, it provides a route that allows the tourists to efficiently visit multiple tourist spots. This makes it possible to propose optimal sightseeing routes based on the tourists' real-time location information and avoid crowds.

[0032] The tourist information section can monitor the tourist's health condition and provide tourist information according to their physical condition. For example, the generation AI in the tourist information section monitors the tourist's number of steps and heart rate and provides tourist information according to their physical condition. For example, if the tourist is tired, it will guide them to rest spots. It also monitors the tourist's health condition and suggests tourist routes according to their physical condition. For example, if the heart rate is high, it will guide them to a route that is less strenuous. The generation AI also monitors the tourist's health condition in real time and provides tourist information according to their physical condition. For example, if the number of steps is high, it will suggest shortening the distance to the next tourist spot. This makes it possible to provide tourist information according to the tourist's health condition.

[0033] The tourist information department can introduce local specialties and dishes according to the tourist's preferences and arrange for tasting and purchase. In the tourist information department, for example, the generation AI introduces local specialties and dishes according to the tourist's preferences. For example, it introduces local specialty dishes based on the tourist's favorite ingredients and types of dishes. It also arranges for tasting and purchase of local specialties and dishes according to the tourist's preferences. For example, it introduces tasting events for specialty products that the tourist is interested in. It also introduces local specialties and dishes according to the tourist's preferences and arranges for tasting and purchase. For example, it makes reservations at a restaurant that serves the tourist's favorite cuisine. In this way, it is possible to introduce and arrange for local specialties and dishes according to the tourist's preferences.

[0034] The multi-language support unit can support language learning by providing guidance not only in the tourist's native language but also in a language the tourist wishes to learn. For example, the generation AI can provide guidance not only in the tourist's native language but also in a language the tourist wishes to learn. For example, if a tourist wishes to learn English, tourist information can be provided in English. The generation AI can also support language learning by providing guidance in a language the tourist wishes to learn. For example, if a tourist wishes to learn French, tourist information can be provided in French. The generation AI can also support language learning by providing guidance not only in the tourist's native language but also in a language the tourist wishes to learn. For example, if a tourist wishes to learn Japanese, tourist information can be provided in Japanese. This makes it possible to support tourists' language learning and provide tourist information.

[0035] The multi-language support unit can evaluate the tourist's pronunciation or intonation in real time and provide guidance on correct pronunciation. In the multi-language support unit, for example, the generation AI evaluates the tourist's pronunciation and intonation in real time and provides guidance on correct pronunciation. For example, when a tourist practices English pronunciation, the generation AI evaluates the pronunciation. The generation AI also evaluates the tourist's pronunciation and intonation in real time and provides guidance on correct pronunciation. For example, when a tourist practices French pronunciation, the generation AI evaluates the pronunciation. The generation AI also evaluates the tourist's pronunciation and intonation in real time and provides guidance on correct pronunciation. For example, when a tourist practices Japanese pronunciation, the generation AI evaluates the pronunciation. This allows the tourist's pronunciation and intonation to be evaluated in real time and provided guidance on correct pronunciation.

[0036] The multi-language support unit can provide tourist information with difficulty adjusted according to the tourist's language skill. In the multi-language support unit, for example, the generation AI provides tourist information with difficulty adjusted according to the tourist's language skill. For example, explanations are given in simple terms for beginners, and guidance is given using technical terms for advanced tourists. In addition, tourist information with difficulty adjusted according to the tourist's language skill is provided. For example, if a tourist has intermediate-level language skills, guidance is given in intermediate-level language. In addition, the generation AI provides tourist information with difficulty adjusted according to the tourist's language skill. For example, if a tourist has advanced-level language skills, guidance is given in advanced-level language. In this way, tourist information with difficulty according to the tourist's language skill can be provided.

[0037] The multi-language support unit can provide interactive games that encourage conversations with local people to improve the language skills of tourists. For example, the generation AI can provide interactive games that encourage conversations with local people to improve the language skills of tourists. For example, it can provide quizzes and mini-games that allow tourists to enjoy conversations with local people. The generation AI can also provide interactive games that encourage conversations with local people to improve the language skills of tourists. For example, it can suggest activities for tourists to participate in together with local people. The generation AI can also provide interactive games that encourage conversations with local people to improve the language skills of tourists. For example, it can provide games in which tourists cooperate with local people to complete missions. In this way, it is possible to provide interactive games that encourage conversations with local people to improve the language skills of tourists.

[0038] The AR display unit can guide tourists in real time and provide detailed information about tourist spots. For example, the AR display unit uses AR technology to allow a character to guide tourists in real time and provide detailed information about tourist spots. For example, the character explains the history and highlights of the tourist spot. The character can also guide tourists in real time and provide detailed information about the tourist spot. For example, the character can introduce the background and anecdotes of the tourist spot. The AR technology can also allow a character to guide tourists in real time and provide detailed information about the tourist spot. For example, the character can explain how to access the tourist spot and recommend nearby spots. This allows the character to guide tourists in real time and provide detailed information about the tourist spot.

[0039] The AR display unit can interactively respond to the tourists' movements and take actions according to their actions. For example, the AR display unit can have an AR character interactively respond to the tourists' movements and take actions according to their actions. For example, when a tourist waves, the character also waves. The AR display unit can also interactively respond to the tourists' movements and take actions according to their actions. For example, when a tourist walks, the character walks along with them. The AR character can also interactively respond to the tourists' movements and take actions according to their actions. For example, when a tourist takes a photo, the character also strikes a pose. This allows the AR display unit to interactively respond to the tourists' movements and take actions according to their actions.

[0040] The AR display unit can play mini-games with tourists, allowing them to have fun learning about tourist spots. The AR display unit, for example, uses AR technology to have a character play mini-games with tourists, allowing them to have fun learning about tourist spots. For example, a quiz about tourist spots can be asked. The character can also play mini-games with tourists, allowing them to have fun learning about tourist spots. For example, a puzzle game about the history and culture of tourist spots can be provided. The AR technology can also be used to have a character play mini-games with tourists, allowing them to have fun learning about tourist spots. For example, a treasure hunt game in which tourists search for famous landmarks in tourist spots can be provided. This allows them to play mini-games with tourists, allowing them to have fun learning about tourist spots.

[0041] The AR display unit can support tourists in taking photos and suggest the best poses and angles. For example, an AR character can support tourists in taking photos and suggest the best poses and angles. For example, the character can advise the tourist, "It would be good to take the photo in this pose." The AR display unit can also support tourists in taking photos and suggest the best poses and angles. For example, the character can advise the tourist, "If you take the photo from this angle, the background will look beautiful." The AR character can also support tourists in taking photos and suggest the best poses and angles. For example, the character can advise the tourist, "If you take the photo at this place, you'll be in the photo with the character." In this way, the AR display unit can support tourists in taking photos and suggest the best poses and angles.

[0042] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0043] The tourist information section can suggest optimal sightseeing routes based on tourists' real-time location information and provide advice on how to avoid crowds. For example, the generation AI can obtain tourists' real-time location information and suggest optimal sightseeing routes from their current location. It can also guide tourists to tourist spots within walking distance from their current location. The generation AI can also provide advice on how to avoid crowds based on tourists' location information. It can also guide tourists to relatively empty spots, avoiding crowded tourist spots. Furthermore, the generation AI can analyze tourists' real-time location information and provide routes that allow them to efficiently visit multiple tourist spots. This makes it possible to suggest optimal sightseeing routes based on tourists' real-time location information and avoid crowds.

[0044] The tourist information section can learn a tourist's past visit history or interests and provide individually customized tourist information. For example, the generation AI can analyze a tourist's past visit history and provide customized tourist information based on the places visited and themes of interest. For tourists who are interested in historical places, it can prioritize guidance to related historical spots. The generation AI can also suggest individually customized tourist routes based on data on places the tourist has visited in the past and events they have attended. For tourists who are interested in art, it can provide routes centered around museums and galleries. Furthermore, the generation AI can learn the tourist's interests and provide individually customized tourist information. For tourists who are interested in food, it can introduce local specialty dishes and restaurants. This makes it possible to provide customized tourist information based on the tourist's interests.

[0045] The tourist information section can monitor the tourist's health condition and provide tourist information tailored to their physical condition. For example, the generation AI can monitor the tourist's number of steps and heart rate and provide tourist information tailored to their physical condition. If the tourist is tired, it can recommend rest spots. It is also possible to monitor the tourist's health condition and suggest tourist routes tailored to their physical condition. If the tourist's heart rate is high, it can recommend a route that is less strenuous. Furthermore, the generation AI can monitor the tourist's health condition in real time and provide tourist information tailored to their physical condition. If the tourist's number of steps is high, it can suggest shortening the distance to the next tourist spot. This makes it possible to provide tourist information tailored to the tourist's health condition.

[0046] The tourist information department can introduce local specialties and dishes according to the tourists' preferences and arrange for tasting and purchase. For example, the generation AI can introduce local specialties and dishes according to the tourists' preferences. It can introduce local specialty dishes based on the tourists' favorite ingredients and types of cuisine. It can also arrange for tasting and purchase of local specialties and dishes according to the tourists' preferences. It can introduce tasting events for specialties that the tourists are interested in. Furthermore, the generation AI can introduce local specialties and dishes according to the tourists' preferences and arrange for tasting and purchase. It can make reservations at restaurants that serve the tourists' favorite cuisine. This makes it possible to introduce and arrange for specialties and dishes according to the tourists' preferences.

[0047] The multi-language support unit can provide guidance not only in the tourist's native language but also in a language the tourist wishes to learn, thereby supporting language learning. For example, the generation AI can provide guidance not only in the tourist's native language but also in a language the tourist wishes to learn. If a tourist wishes to learn English, tourist information can be provided in English. It is also possible to provide guidance in a language the tourist wishes to learn and support language learning. If a tourist wishes to learn French, tourist information can be provided in French. Furthermore, the generation AI can provide guidance not only in the tourist's native language but also in a language the tourist wishes to learn, thereby supporting language learning. If a tourist wishes to learn Japanese, tourist information can be provided in Japanese. This makes it possible to support tourists' language learning and provide tourist information.

[0048] The multi-language support unit can evaluate tourists' pronunciation or intonation in real time and provide guidance on correct pronunciation. For example, the generation AI can evaluate tourists' pronunciation and intonation in real time and provide guidance on correct pronunciation. When tourists practice their English pronunciation, the generation AI can evaluate their pronunciation. It is also possible to evaluate tourists' pronunciation and intonation in real time and provide guidance on correct pronunciation. When tourists practice their French pronunciation, the generation AI can evaluate their pronunciation. Furthermore, the generation AI can evaluate tourists' pronunciation and intonation in real time and provide guidance on correct pronunciation. When tourists practice their Japanese pronunciation, the generation AI can evaluate their pronunciation. This allows tourists' pronunciation and intonation to be evaluated in real time and provided guidance on correct pronunciation.

[0049] The processing flow of the first embodiment will be briefly explained below.

[0050] Step 1: The tourist information department uses the generation AI to provide tourist information. For example, the generation AI explains the history and highlights of tourist spots. The tourist information department also responds interactively to tourists' questions. For example, if a tourist asks, "Please tell me the history of this place," the generation AI will provide information about the history of that place. Step 2: The multi-language support section supports multiple languages, including major languages ​​such as Japanese, English, Chinese, and Korean. Step 3: The AR display unit displays the character through the smartphone. For example, when a tourist points the smartphone camera at a specific location, the character will appear at that location.

[0051] (Example 2) The sacred site pilgrimage tour conductor system according to an embodiment of the present invention uses generative AI to provide sightseeing guidance using anime and manga characters, interactively responds to tourists' questions, provides multi-language support, and uses AR technology to make the characters appear on-site. As a result, the sacred site pilgrimage tour conductor system provides tourists with interactive sightseeing guidance, overcomes language barriers, and allows them to take photos with the characters.

[0052] A sacred site pilgrimage tour conductor system according to an embodiment includes a tourist information section that provides tourist information using a generation AI, a tourist information section that interactively responds to tourists' questions, a multi-language support section that supports multiple languages, and an AR display section that displays characters on a smartphone. The tourist information section provides tourist information using the generation AI. For example, the generation AI explains the history and highlights of tourist spots. The tourist information section also interactively responds to tourists' questions. For example, if a tourist asks, "Please tell me the history of this place," the generation AI provides information about the history of that place. The multi-language support section supports multiple languages, including major languages ​​such as Japanese, English, Chinese, and Korean. The AR display section displays characters on a smartphone. For example, when a tourist points their smartphone camera at a specific location, a character appears at that location. This allows the sacred site pilgrimage tour conductor system to provide tourists with interactive tourist information, overcome language barriers, and take photos with the characters.

[0053] The tourist information unit can learn a tourist's past visit history or interests and provide individually customized tourist information. For example, the generation AI analyzes a tourist's past visit history and provides customized tourist information based on the places visited and themes of interest. For example, for a tourist who is interested in historical places, related historical spots will be given priority. Furthermore, the generation AI proposes individually customized tourist routes based on data on places the tourist has visited in the past and events the tourist has participated in. For example, for a tourist who is interested in art, a route centered on museums and galleries will be provided. Furthermore, the generation AI learns the tourist's interests and provides individually customized tourist information. For example, for a tourist who is interested in food, local specialty dishes and restaurants will be introduced. This makes it possible to provide customized tourist information based on the tourist's interests.

[0054] The tourist information section can propose optimal sightseeing routes based on the tourists' real-time location information and provide advice to avoid crowds. In the tourist information section, for example, the generation AI acquires the tourists' real-time location information and proposes the optimal sightseeing route from their current location. For example, the generation AI guides the tourists to tourist spots within walking distance from their current location. The generation AI also provides advice to avoid crowds based on the tourists' location information. For example, the generation AI guides the tourists to relatively empty spots, avoiding crowded tourist spots. The generation AI also analyzes the tourists' real-time location information and proposes the optimal sightseeing route. For example, it provides a route that allows the tourists to efficiently visit multiple tourist spots. This makes it possible to propose optimal sightseeing routes based on the tourists' real-time location information and avoid crowds.

[0055] The tourist information unit can use the emotion estimation function to analyze the tourist's emotional state and suggest quiet places if the tourist wants to relax, and active places if the tourist wants to get excited. The tourist information unit, for example, uses the emotion estimation function to analyze the tourist's emotional state in real time and suggest quiet places if the tourist wants to relax. For example, it guides the tourist to quiet places such as parks and cafes. It also analyzes the tourist's emotional state and suggests active places if the tourist wants to get excited. For example, it guides the tourist to active places such as theme parks and sporting events. It also analyzes the tourist's emotional state using the emotion estimation function and suggests tourist spots that match the tourist's mood at that time. For example, it guides the tourist to museums and libraries if the tourist wants to relax, and to live events and festivals if the tourist wants to get excited. This makes it possible to provide tourist information that matches the tourist's emotional state.

[0056] The tourist information section can monitor the tourist's health condition and provide tourist information according to their physical condition. For example, the generation AI in the tourist information section monitors the tourist's number of steps and heart rate and provides tourist information according to their physical condition. For example, if the tourist is tired, it will guide them to rest spots. It also monitors the tourist's health condition and suggests tourist routes according to their physical condition. For example, if the heart rate is high, it will guide them to a route that is less strenuous. The generation AI also monitors the tourist's health condition in real time and provides tourist information according to their physical condition. For example, if the number of steps is high, it will suggest shortening the distance to the next tourist spot. This makes it possible to provide tourist information according to the tourist's health condition.

[0057] The tourist information department can introduce local specialties and dishes according to the tourist's preferences and arrange for tasting and purchase. In the tourist information department, for example, the generation AI introduces local specialties and dishes according to the tourist's preferences. For example, it introduces local specialty dishes based on the tourist's favorite ingredients and types of dishes. It also arranges for tasting and purchase of local specialties and dishes according to the tourist's preferences. For example, it introduces tasting events for specialty products that the tourist is interested in. It also introduces local specialties and dishes according to the tourist's preferences and arranges for tasting and purchase. For example, it makes reservations at a restaurant that serves the tourist's favorite cuisine. In this way, it is possible to introduce and arrange for local specialties and dishes according to the tourist's preferences.

[0058] The tourist information section can use the emotion estimation function to record the emotions felt by tourists at specific places and provide guidance that will allow them to recreate those emotions the next time they visit. The tourist information section can, for example, use the emotion estimation function to record the emotions felt by tourists at specific places and provide guidance that will allow them to recreate those emotions the next time they visit. For example, the tourist information section can guide tourists back to places that moved them. Also, the tourist information section can record the emotions felt by tourists at specific places and provide guidance that will allow them to recreate those emotions the next time they visit. For example, the tourist information section can suggest a route to revisit places where tourists enjoyed themselves. Also, the tourist information section can use the emotion estimation function to record the emotions felt by tourists at specific places and provide guidance that will allow them to recreate those emotions the next time they visit. For example, the tourist information section can guide tourists back to places where they felt relaxed. In this way, it is possible to provide guidance that will allow tourists to recreate the emotions they felt at specific places.

[0059] The multi-language support unit can support language learning by providing guidance not only in the tourist's native language but also in a language the tourist wishes to learn. For example, the generation AI can provide guidance not only in the tourist's native language but also in a language the tourist wishes to learn. For example, if a tourist wishes to learn English, tourist information can be provided in English. The generation AI can also support language learning by providing guidance in a language the tourist wishes to learn. For example, if a tourist wishes to learn French, tourist information can be provided in French. The generation AI can also support language learning by providing guidance not only in the tourist's native language but also in a language the tourist wishes to learn. For example, if a tourist wishes to learn Japanese, tourist information can be provided in Japanese. This makes it possible to support tourists' language learning and provide tourist information.

[0060] The multi-language support unit can evaluate the tourist's pronunciation or intonation in real time and provide guidance on correct pronunciation. In the multi-language support unit, for example, the generation AI evaluates the tourist's pronunciation and intonation in real time and provides guidance on correct pronunciation. For example, when a tourist practices English pronunciation, the generation AI evaluates the pronunciation. The generation AI also evaluates the tourist's pronunciation and intonation in real time and provides guidance on correct pronunciation. For example, when a tourist practices French pronunciation, the generation AI evaluates the pronunciation. The generation AI also evaluates the tourist's pronunciation and intonation in real time and provides guidance on correct pronunciation. For example, when a tourist practices Japanese pronunciation, the generation AI evaluates the pronunciation. This allows the tourist's pronunciation and intonation to be evaluated in real time and provided guidance on correct pronunciation.

[0061] The multi-language support unit can use the emotion estimation function to suggest relaxation methods to help tourists reduce the stress they feel due to the language barrier. The multi-language support unit, for example, uses the emotion estimation function to suggest relaxation methods to help tourists reduce the stress they feel due to the language barrier. For example, it can guide tourists to places and activities where they can relax. It can also suggest relaxation methods to help tourists reduce the stress they feel due to the language barrier. For example, it can provide music and videos that help tourists relax. It can also use the emotion estimation function to suggest relaxation methods to help tourists reduce the stress they feel due to the language barrier. For example, it can guide tourists to massages and spas where they can relax. In this way, it can suggest relaxation methods to help tourists reduce the stress they feel due to the language barrier.

[0062] The multi-language support unit can provide tourist information with difficulty adjusted according to the tourist's language skill. In the multi-language support unit, for example, the generation AI provides tourist information with difficulty adjusted according to the tourist's language skill. For example, explanations are given in simple terms for beginners, and guidance is given using technical terms for advanced tourists. In addition, tourist information with difficulty adjusted according to the tourist's language skill is provided. For example, if a tourist has intermediate-level language skills, guidance is given in intermediate-level language. In addition, the generation AI provides tourist information with difficulty adjusted according to the tourist's language skill. For example, if a tourist has advanced-level language skills, guidance is given in advanced-level language. In this way, tourist information with difficulty according to the tourist's language skill can be provided.

[0063] The multi-language support unit can provide interactive games that encourage conversations with local people to improve the language skills of tourists. For example, the generation AI can provide interactive games that encourage conversations with local people to improve the language skills of tourists. For example, it can provide quizzes and mini-games that allow tourists to enjoy conversations with local people. The generation AI can also provide interactive games that encourage conversations with local people to improve the language skills of tourists. For example, it can suggest activities for tourists to participate in together with local people. The generation AI can also provide interactive games that encourage conversations with local people to improve the language skills of tourists. For example, it can provide games in which tourists cooperate with local people to complete missions. In this way, it is possible to provide interactive games that encourage conversations with local people to improve the language skills of tourists.

[0064] The multi-language support unit can use the emotion estimation function to analyze the emotion that tourists feel in a specific language and optimize the guidance in that language. The multi-language support unit, for example, uses the emotion estimation function to analyze the emotion that tourists feel in a specific language and optimize the guidance in that language. For example, if a tourist has positive emotions toward guidance in English, the English guidance is strengthened. Also, the emotion that tourists feel in a specific language is analyzed and the guidance in that language is optimized. For example, if a tourist has negative emotions toward guidance in French, the French guidance is improved. Also, the emotion estimation function is used to analyze the emotion that tourists feel in a specific language and optimize the guidance in that language. For example, if a tourist has positive emotions toward guidance in Japanese, the Japanese guidance is strengthened. In this way, the emotion that tourists feel in a specific language can be analyzed and the guidance in that language can be optimized.

[0065] The AR display unit can guide tourists in real time and provide detailed information about tourist spots. For example, the AR display unit uses AR technology to allow a character to guide tourists in real time and provide detailed information about tourist spots. For example, the character explains the history and highlights of the tourist spot. The character can also guide tourists in real time and provide detailed information about the tourist spot. For example, the character can introduce the background and anecdotes of the tourist spot. The AR technology can also allow a character to guide tourists in real time and provide detailed information about the tourist spot. For example, the character can explain how to access the tourist spot and recommend nearby spots. This allows the character to guide tourists in real time and provide detailed information about the tourist spot.

[0066] The AR display unit can interactively respond to the tourists' movements and take actions according to their actions. For example, the AR display unit can have an AR character interactively respond to the tourists' movements and take actions according to their actions. For example, when a tourist waves, the character also waves. The AR display unit can also interactively respond to the tourists' movements and take actions according to their actions. For example, when a tourist walks, the character walks along with them. The AR character can also interactively respond to the tourists' movements and take actions according to their actions. For example, when a tourist takes a photo, the character also strikes a pose. This allows the AR display unit to interactively respond to the tourists' movements and take actions according to their actions.

[0067] The AR display unit uses the emotion estimation function to change the character's facial expression and movements according to the tourist's emotions, thereby providing a more familiar experience. The AR display unit, for example, uses the emotion estimation function to change the character's facial expression and movements according to the tourist's emotions. For example, when the tourist is smiling, the character also smiles. The character's facial expression and movements are also changed according to the tourist's emotions, thereby providing a more familiar experience. For example, when the tourist is surprised, the character also makes a surprised expression. The emotion estimation function is also used to change the character's facial expression and movements according to the tourist's emotions. For example, when the tourist is sad, the character also makes a comforting expression. In this way, the character's facial expression and movements are changed according to the tourist's emotions, thereby providing a more familiar experience.

[0068] The AR display unit can play mini-games with tourists, allowing them to have fun learning about tourist spots. The AR display unit, for example, uses AR technology to have a character play mini-games with tourists, allowing them to have fun learning about tourist spots. For example, a quiz about tourist spots can be asked. The character can also play mini-games with tourists, allowing them to have fun learning about tourist spots. For example, a puzzle game about the history and culture of tourist spots can be provided. The AR technology can also be used to have a character play mini-games with tourists, allowing them to have fun learning about tourist spots. For example, a treasure hunt game in which tourists search for famous landmarks in tourist spots can be provided. This allows them to play mini-games with tourists, allowing them to have fun learning about tourist spots.

[0069] The AR display unit can support tourists in taking photos and suggest the best poses and angles. For example, an AR character can support tourists in taking photos and suggest the best poses and angles. For example, the character can advise the tourist, "It would be good to take the photo in this pose." The AR display unit can also support tourists in taking photos and suggest the best poses and angles. For example, the character can advise the tourist, "If you take the photo from this angle, the background will look beautiful." The AR character can also support tourists in taking photos and suggest the best poses and angles. For example, the character can advise the tourist, "If you take the photo at this place, you'll be in the photo with the character." In this way, the AR display unit can support tourists in taking photos and suggest the best poses and angles.

[0070] The AR display unit uses the emotion estimation function to enable a character to tell a story related to a location based on the emotion a tourist feels at that location. The AR display unit, for example, uses the emotion estimation function to enable a character to tell a story related to a location based on the emotion a tourist feels at that location. For example, at a location where a tourist was impressed, a character talks about the history of the location. Also, based on the emotion a tourist feels at that location, a character talks about an episode from the location where the tourist is enjoying himself. Also, using the emotion estimation function, a character talks about a location based on the emotion a tourist feels at that location. For example, at a location where a tourist is relaxing, a character talks about the legend of the location. In this way, a character can tell a story related to a location based on the emotion a tourist feels at that location.

[0071] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0072] The tourist information section can suggest optimal sightseeing routes based on tourists' real-time location information and provide advice on how to avoid crowds. For example, the generation AI can obtain tourists' real-time location information and suggest optimal sightseeing routes from their current location. It can also guide tourists to tourist spots within walking distance from their current location. The generation AI can also provide advice on how to avoid crowds based on tourists' location information. It can also guide tourists to relatively empty spots, avoiding crowded tourist spots. Furthermore, the generation AI can analyze tourists' real-time location information and provide routes that allow them to efficiently visit multiple tourist spots. This makes it possible to suggest optimal sightseeing routes based on tourists' real-time location information and avoid crowds.

[0073] The tourist information section can learn a tourist's past visit history or interests and provide individually customized tourist information. For example, the generation AI can analyze a tourist's past visit history and provide customized tourist information based on the places visited and themes of interest. For tourists who are interested in historical places, it can prioritize guidance to related historical spots. The generation AI can also suggest individually customized tourist routes based on data on places the tourist has visited in the past and events they have attended. For tourists who are interested in art, it can provide routes centered around museums and galleries. Furthermore, the generation AI can learn the tourist's interests and provide individually customized tourist information. For tourists who are interested in food, it can introduce local specialty dishes and restaurants. This makes it possible to provide customized tourist information based on the tourist's interests.

[0074] The tourist information section can monitor the tourist's health condition and provide tourist information tailored to their physical condition. For example, the generation AI can monitor the tourist's number of steps and heart rate and provide tourist information tailored to their physical condition. If the tourist is tired, it can recommend rest spots. It is also possible to monitor the tourist's health condition and suggest tourist routes tailored to their physical condition. If the tourist's heart rate is high, it can recommend a route that is less strenuous. Furthermore, the generation AI can monitor the tourist's health condition in real time and provide tourist information tailored to their physical condition. If the tourist's number of steps is high, it can suggest shortening the distance to the next tourist spot. This makes it possible to provide tourist information tailored to the tourist's health condition.

[0075] The tourist information section can use the emotion estimation function to analyze the tourist's emotional state and suggest quiet places if the tourist wants to relax, and active places if the tourist wants to get excited. For example, the emotion estimation function can be used to analyze the tourist's emotional state in real time and suggest quiet places if the tourist wants to relax. The tourist can be guided to quiet places such as parks and cafes. It is also possible to analyze the tourist's emotional state and suggest active places if the tourist wants to get excited. The tourist can be guided to active places such as theme parks and sporting events. Furthermore, the emotion estimation function can be used to analyze the tourist's emotional state and suggest tourist spots that match the tourist's mood at that time. The tourist can be guided to museums and libraries if the tourist wants to relax, and to live events and festivals if the tourist wants to get excited. This makes it possible to provide tourist information that matches the tourist's emotional state.

[0076] The tourist information department can introduce local specialties and dishes according to the tourists' preferences and arrange for tasting and purchase. For example, the generation AI can introduce local specialties and dishes according to the tourists' preferences. It can introduce local specialty dishes based on the tourists' favorite ingredients and types of cuisine. It can also arrange for tasting and purchase of local specialties and dishes according to the tourists' preferences. It can introduce tasting events for specialties that the tourists are interested in. Furthermore, the generation AI can introduce local specialties and dishes according to the tourists' preferences and arrange for tasting and purchase. It can make reservations at restaurants that serve the tourists' favorite cuisine. This makes it possible to introduce and arrange for specialties and dishes according to the tourists' preferences.

[0077] The tourist information section can use the emotion estimation function to record the emotions felt by tourists at specific places and provide guidance that will allow them to recreate those emotions the next time they visit. For example, the emotion estimation function can be used to record the emotions felt by tourists at specific places and provide guidance that will allow them to recreate those emotions the next time they visit. It is possible to guide tourists back to places that moved them. It is also possible to record the emotions felt by tourists at specific places and provide guidance that will allow them to recreate those emotions the next time they visit. It is possible to suggest a route for tourists to revisit places where they enjoyed themselves. Furthermore, the emotion estimation function can be used to record the emotions felt by tourists at specific places and provide guidance that will allow them to recreate those emotions the next time they visit. It is possible to guide tourists back to places where they felt relaxed. In this way, it is possible to provide guidance that will allow tourists to recreate the emotions they felt at specific places.

[0078] The multi-language support unit can provide guidance not only in the tourist's native language but also in a language the tourist wishes to learn, thereby supporting language learning. For example, the generation AI can provide guidance not only in the tourist's native language but also in a language the tourist wishes to learn. If a tourist wishes to learn English, tourist information can be provided in English. It is also possible to provide guidance in a language the tourist wishes to learn and support language learning. If a tourist wishes to learn French, tourist information can be provided in French. Furthermore, the generation AI can provide guidance not only in the tourist's native language but also in a language the tourist wishes to learn, thereby supporting language learning. If a tourist wishes to learn Japanese, tourist information can be provided in Japanese. This makes it possible to support tourists' language learning and provide tourist information.

[0079] The multi-language support unit can use the emotion estimation function to suggest relaxation methods to help tourists reduce the stress they feel due to the language barrier. For example, the emotion estimation function can be used to suggest relaxation methods to help tourists reduce the stress they feel due to the language barrier. It can guide tourists to places and activities where they can relax. It can also suggest relaxation methods to help tourists reduce the stress they feel due to the language barrier. It can provide music and videos that help tourists relax. Furthermore, the emotion estimation function can also be used to suggest relaxation methods to help tourists reduce the stress they feel due to the language barrier. It can guide tourists to massages and spas where they can relax. In this way, it can suggest relaxation methods to help tourists reduce the stress they feel due to the language barrier.

[0080] The multi-language support unit can evaluate tourists' pronunciation or intonation in real time and provide guidance on correct pronunciation. For example, the generation AI can evaluate tourists' pronunciation and intonation in real time and provide guidance on correct pronunciation. When tourists practice their English pronunciation, the generation AI can evaluate their pronunciation. It is also possible to evaluate tourists' pronunciation and intonation in real time and provide guidance on correct pronunciation. When tourists practice their French pronunciation, the generation AI can evaluate their pronunciation. Furthermore, the generation AI can evaluate tourists' pronunciation and intonation in real time and provide guidance on correct pronunciation. When tourists practice their Japanese pronunciation, the generation AI can evaluate their pronunciation. This allows tourists' pronunciation and intonation to be evaluated in real time and provided guidance on correct pronunciation.

[0081] The AR display unit can use the emotion estimation function to change the character's facial expression and movements according to the tourist's emotions, providing a more familiar experience. For example, the emotion estimation function can be used to change the character's facial expression and movements according to the tourist's emotions. When the tourist is smiling, the character can also smile. It is also possible to change the character's facial expression and movements according to the tourist's emotions, providing a more familiar experience. When the tourist is surprised, the character can also have a surprised expression. Furthermore, the emotion estimation function can be used to change the character's facial expression and movements according to the tourist's emotions. When the tourist is sad, the character can have a comforting expression. In this way, the character's facial expression and movements can be changed according to the tourist's emotions, providing a more familiar experience.

[0082] The processing flow of the second embodiment will be briefly explained below.

[0083] Step 1: The tourist information department uses the generation AI to provide tourist information. For example, the generation AI explains the history and highlights of tourist spots. The tourist information department also responds interactively to tourists' questions. For example, if a tourist asks, "Please tell me the history of this place," the generation AI will provide information about the history of that place. Step 2: The multi-language support section supports multiple languages, including major languages ​​such as Japanese, English, Chinese, and Korean. Step 3: The AR display unit displays the character through the smartphone. For example, when a tourist points the smartphone camera at a specific location, the character will appear at that location.

[0084] 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.

[0085] 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.

[0086] 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.

[0087] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0088] 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.

[0089] 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.

[0090] 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.

[0091] 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.

[0092] 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).

[0093] 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.

[0094] 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.

[0095] 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.

[0096] 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.

[0097] 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.

[0098] 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.

[0099] 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.

[0100] 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.

[0101] 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.

[0102] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0103] 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.

[0104] 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.

[0105] 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.

[0106] 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.

[0107] 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).

[0108] 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.

[0109] 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.

[0110] 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.

[0111] 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.

[0112] 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.

[0113] 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.

[0114] 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.

[0115] 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.

[0116] 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.

[0117] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0118] 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.

[0119] 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.

[0120] 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.

[0121] 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.

[0122] 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).

[0123] 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.

[0124] 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.

[0125] 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.

[0126] 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.

[0127] 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.

[0128] 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.

[0129] 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.

[0130] 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.

[0131] 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.

[0132] 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.

[0133] 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.

[0134] 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.

[0135] 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.

[0136] 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).

[0137] 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.

[0138] 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."

[0139] 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.

[0140] 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.

[0141] 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.

[0142] 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.

[0143] 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.

[0144] 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.

[0145] 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.

[0146] 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.

[0147] 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.

[0148] 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.

[0149] 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.

[0150] 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]

[0151] 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. The system is characterized by comprising a tourist information section that provides tourist information using a generation AI, the tourist information section that interactively responds to tourists' questions, a multi-language support section that supports multiple languages, and an AR display section that displays characters via a smartphone.

2. The system according to claim 1, wherein the tourist information section analyzes the tourist's emotional state and suggests the quiet place if the tourist wants to relax and the active place if the tourist wants to get excited.

3. 2. The system according to claim 1, wherein the tourist information section introduces local specialties or dishes according to the tourist's preferences and arranges for tasting or purchase.

4. The system according to claim 1, wherein the multi-language support unit provides guidance in the tourist's native language as well as the language the tourist wishes to learn, thereby supporting language learning.

5. The system according to claim 1, wherein the AR display unit guides the tourists in real time and provides detailed information about tourist spots.

6. The system according to claim 1 , wherein the multi-language support unit suggests relaxation methods to reduce the stress felt by the tourist due to the language barrier.

7. The system according to claim 1, wherein the AR display unit changes the facial expression and the movement of the character according to the tourist's emotions, thereby providing a more familiar experience.

8. The system according to claim 1, wherein the AR display unit causes the character to tell a story related to a particular location based on the emotion the tourist feels at the location.

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