System

Abstract

An object of a system according to an embodiment is to enable a foreign tourist to access local sightseeing information without feeling a language barrier.SOLUTION: A system includes a generation AI, a position information acquiring unit, a sightseeing guide generation unit, and a sightseeing guide providing unit. The generating AI obtains the current location of the traveler. The position information acquiring unit generates a sightseeing guide based on the current position information acquired by the generating AI. The sightseeing guide generation part provides the sightseeing guide generated by the sightseeing guide generation part in the native language of the tourist. The sightseeing guide providing part provides the sightseeing guide generated by the sightseeing guide generation part in the native language of the tourist.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] With conventional technology, foreign tourists had a language barrier when accessing local tourist information, making it difficult for them to receive appropriate tourist guidance.

[0005] The system according to the embodiment aims to enable foreign tourists to access local tourist information without facing a language barrier. [Means for solving the problem]

[0006] The system according to the embodiment comprises a generation AI, a location information acquisition unit, a tourist guide generation unit, and a tourist guide provision unit. The generation AI acquires the current location of the traveler. The location information acquisition unit generates a tourist guide based on the current location information acquired by the generation AI. The tourist guide generation unit provides the tourist guide generated by the tourist guide generation unit in the traveler's native language. The tourist guide provision unit provides the tourist guide generated by the tourist guide generation unit in the traveler's native language. [Effects of the Invention]

[0007] The system according to the embodiment can enable foreign tourists to access local tourist information without facing a language barrier. [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 tourist information system according to an embodiment of the present invention provides multilingual tourist information for foreign tourists based on information from the internet. This system uses a generation AI to provide tourist information in the traveler's native language and uses location information to inform them of interesting tourist spots. This allows the tourist information system to access local tourist information even if the traveler does not speak Japanese, and to create optimal travel plans that take into account circumstances such as reservations and inquiries.

[0029] A tourist information system according to an embodiment includes a generation AI, a location information acquisition unit, a tourist information generation unit, and a tourist information provision unit. The generation AI provides tourist information in the traveler's native language. For example, the generation AI provides tourist information in the traveler's language, such as English, French, or Chinese. The generation AI also generates tourist information based on prompts containing instructions from the traveler about what the generation AI wants the AI ​​to do. For example, in response to a prompt such as, "Please tell me about some recommended restaurants nearby," the generation AI provides restaurant information for that area. The location information acquisition unit acquires the traveler's current location. For example, the location information acquisition unit acquires the traveler's current location using GPS. The current location can also be acquired using Wi-Fi location information. The tourist information generation unit generates tourist information based on the current location information acquired by the generation AI. For example, the tourist information generation unit provides information about nearby tourist spots and events based on the traveler's current location information. The tourist information provision unit provides the tourist information generated by the tourist information generation unit in the traveler's native language. For example, the tourist information provision unit provides tourist information in text format. The tourist information provision unit can also provide tourist information in audio format. Furthermore, tourist information can be provided in image format, which allows the tourist information system to provide tourist information in multiple languages ​​based on the traveler's current location.

[0030] The tourist information generation unit can analyze a traveler's past travel history and provide customized tourist information based on the traveler's preferences. For example, the generation AI analyzes a traveler's past travel history and provides customized tourist information based on the places the traveler has visited in the past and tourist spots that the traveler has been interested in. For example, if a traveler has visited many art museums in the past, the generation AI will prioritize providing information about art museums in that area. The tourist information generation unit also learns the traveler's preferences based on the traveler's past travel history and suggests tourist spots that the traveler might be interested in. For example, if a traveler has previously enjoyed visiting natural landscapes, the generation AI will suggest natural landscape spots in that area. The tourist information generation unit also analyzes a traveler's past travel history and provides tourist information tailored to the traveler based on events and activities the traveler has participated in in the past. For example, if a traveler has previously attended a music festival, the generation AI will provide information about music events in that area. This makes it possible to provide customized tourist information based on the traveler's preferences.

[0031] The tourist information providing unit can analyze real-time voice input from travelers and instantly generate multilingual tourist information. For example, when a traveler speaks a question to the generation AI, the generation AI analyzes the voice in real time and provides tourist information in the traveler's native language. For example, in response to the question, "What are some recommended restaurants nearby?", the generation AI instantly provides restaurant information in the area. The tourist information providing unit also analyzes the traveler's voice input and provides the tourist information the traveler desires in multiple languages. For example, when a traveler asks, "What are the opening hours of this museum?", the generation AI responds with the museum's opening hours in the traveler's native language. In addition, when a traveler speaks to the generation AI for tourist information, the generation AI analyzes the voice and provides detailed information about tourist spots in the traveler's native language. For example, in response to the question, "Please tell me about the history of this region," the generation AI provides historical information about the region. This enables multilingual tourist information to be provided in real time.

[0032] The tourist information providing unit can support language learning by providing tourist information in the language the traveler is learning. For example, in the tourist information providing unit, the generation AI provides tourist information in the language the traveler is learning, providing the traveler with an opportunity to actually use that language. For example, if the traveler is learning French, the generation AI provides tourist information in French. Furthermore, the tourist information providing unit supports the traveler in learning the language by providing tourist information in the language the traveler is learning. For example, if the traveler is learning Spanish, the generation AI provides information about tourist spots in Spanish. Furthermore, in the tourist information providing unit, the generation AI provides tourist information in the language the traveler is learning, and the traveler actually uses that language, thereby enhancing the effectiveness of language learning. For example, if the traveler is learning Japanese, the generation AI provides tourist information in Japanese. This can support the traveler's language learning.

[0033] The tourist information generation unit can link with a traveler's social media account to provide tourist information based on the traveler's interests and concerns. For example, the generation AI analyzes the traveler's social media account and provides tourist information based on themes and topics that the traveler is interested in. For example, if a traveler posts many times about art museums on social media, the generation AI provides information about art museums in that area. The tourist information generation unit also links with the traveler's social media account to suggest tourist spots that suit the traveler based on the accounts the traveler follows and the content of their posts. For example, if a traveler follows many restaurant-related accounts, the generation AI provides information about restaurants in that area. The tourist information generation unit also analyzes the traveler's social media account to provide tourist information based on events and activities that the traveler is interested in. For example, if a traveler posts many times about music events on social media, the generation AI provides information about music events in that area. This makes it possible to provide tourist information based on the traveler's interests and concerns.

[0034] The tourist information generation unit can analyze the traveler's movement patterns and propose optimal tourist routes in real time. In the tourist information generation unit, for example, the generation AI analyzes the traveler's movement patterns and proposes the optimal route for the traveler to efficiently visit tourist spots. For example, if a traveler plans to visit multiple tourist spots, the generation AI optimizes the order and route. In addition, the tourist information generation unit proposes tourist routes in real time based on the traveler's movement patterns. For example, it provides the traveler with the shortest route from their current location to the next tourist spot. In addition, the tourist information generation unit analyzes the traveler's movement patterns and proposes routes for the traveler to efficiently visit tourist spots. For example, if the traveler travels on foot, the generation AI proposes tourist spots that are easily accessible on foot. This makes it possible to propose optimal tourist routes in real time based on the traveler's movement patterns.

[0035] The tourist information generation unit can suggest tourist spots based on the traveler's current location and future travel plans. For example, the generation AI of the tourist information generation unit analyzes the traveler's current location and future travel plans and suggests tourist spots that the traveler plans to visit. For example, it suggests tourist spots in the vicinity based on the next place the traveler plans to visit. Furthermore, the tourist information generation unit suggests tourist spots that match the traveler's future destination based on the traveler's travel plans. For example, it suggests tourist spots in the city that the traveler will visit next. Furthermore, the tourist information generation unit analyzes the traveler's current location and future travel plans and makes suggestions to help the traveler efficiently tour tourist spots. For example, it suggests tourist spots in the vicinity based on the next place the traveler will visit. This makes it possible to suggest tourist spots taking into account the traveler's current location and future travel plans.

[0036] The tourist information generation unit can combine the traveler's location information and weather information to suggest the most suitable tourist spots. For example, the generation AI in the tourist information generation unit analyzes the traveler's location information and weather information to suggest tourist spots where the traveler can spend a comfortable time. For example, indoor tourist spots will be suggested on rainy days. The tourist information generation unit also uses the generation AI to suggest the most suitable tourist spots based on the traveler's location information and weather information. For example, outdoor tourist spots will be suggested on sunny days. The tourist information generation unit also uses the generation AI to analyze the traveler's location information and weather information to suggest tourist spots where the traveler can spend a comfortable time. For example, cool places or tourist spots near water will be suggested on hot days. In this way, the tourist information and weather information of the traveler can be combined to suggest the most suitable tourist spots.

[0037] The tourist information generation unit can combine the traveler's location information and transportation information to suggest tourist spots that are easy to access. For example, the tourist information generation unit uses a generation AI to analyze the traveler's location information and transportation information to suggest tourist spots that are easy to access for the traveler. For example, it can suggest tourist spots that are easily accessible by public transportation. The tourist information generation unit also uses a generation AI to suggest the most suitable tourist spots based on the traveler's location information and transportation information. For example, it can suggest tourist spots that are easy to access on foot. The tourist information generation unit also uses a generation AI to analyze the traveler's location information and transportation information to suggest tourist spots that are easy to access for the traveler. For example, it can suggest tourist spots that are easy to access by car. This makes it possible to suggest tourist spots that are easy to access by combining the traveler's location information and transportation information.

[0038] The tourist information generation unit can collect and provide the latest tourist information on the Internet in real time based on the interests of travelers. In the tourist information generation unit, for example, the generation AI analyzes the interests of travelers and collects the latest tourist information on the Internet in real time. For example, if a traveler is interested in historical places, the generation AI provides the latest historical information about that area. In addition, the tourist information generation unit collects tourist information on the Internet based on the interests of travelers and provides it in real time. For example, if a traveler is interested in gourmet food, the generation AI provides the latest restaurant information in that area. In addition, the tourist information generation unit analyzes the interests of travelers and collects the latest tourist information on the Internet in real time. For example, if a traveler is interested in art, the generation AI provides the latest art event information in that area. This makes it possible to provide the latest tourist information in real time based on the interests of travelers.

[0039] The tourist information generation unit can analyze the traveler's past search history and provide relevant tourist information preferentially. For example, the tourist information generation unit uses a generation AI to analyze the traveler's past search history and provide tourist information that the traveler is interested in preferentially. For example, it provides information related to tourist spots that the traveler has searched for in the past. Furthermore, the tourist information generation unit uses a generation AI to provide relevant tourist information preferentially based on the traveler's past search history. For example, it provides information related to restaurants that the traveler has searched for in the past. Furthermore, the tourist information generation unit uses a generation AI to analyze the traveler's past search history and provide tourist information that the traveler is interested in preferentially. For example, it provides information related to events that the traveler has searched for in the past. This makes it possible to provide relevant tourist information preferentially based on the traveler's past search history.

[0040] The tourist information generation unit can collect video content on the Internet based on the interests of the traveler and provide a visual tourist information guide. For example, the generation AI of the tourist information generation unit analyzes the interests of the traveler and collects video content on the Internet to provide a visual tourist information guide. For example, if the traveler is interested in historical places, the generation AI provides videos related to the history of the area. The tourist information generation unit also collects video content on the Internet based on the traveler's interests and provides a visual tourist information guide. For example, if the traveler is interested in gourmet food, the generation AI provides videos related to restaurants and cuisine in the area. The tourist information generation unit also analyzes the interests of the traveler and collects video content on the Internet to provide a visual tourist information guide. For example, if the traveler is interested in art, the generation AI provides videos related to art events and galleries in the area. This makes it possible to provide a visual tourist information guide based on the traveler's interests.

[0041] The tourist information generation unit can collect blogs and reviews on the Internet based on the traveler's interests and provide detailed tourist information. For example, the generation AI analyzes the traveler's interests and collects blogs and reviews on the Internet to provide detailed tourist information. For example, if the traveler is interested in historical places, the generation AI provides blogs and reviews about the history of the area. The tourist information generation unit also collects blogs and reviews on the Internet based on the traveler's interests and provides detailed tourist information. For example, if the traveler is interested in gourmet food, the generation AI provides blogs and reviews about restaurants and cuisine in the area. The tourist information generation unit also analyzes the traveler's interests and collects blogs and reviews on the Internet to provide detailed tourist information. For example, if the traveler is interested in art, the generation AI provides blogs and reviews about art events and galleries in the area. This makes it possible to provide detailed tourist information based on the traveler's interests.

[0042] The tourist information generation unit can analyze the traveler's past reservation history and suggest the optimal reservation timing and plan. In the tourist information generation unit, for example, the generation AI analyzes the traveler's past reservation history and suggests the optimal timing for the traveler to make a reservation. For example, the optimal reservation timing is suggested based on the time and frequency of the traveler's past reservations. In addition, the tourist information generation unit can use the generation AI to suggest the optimal travel plan based on the traveler's past reservation history. For example, the optimal travel plan is suggested based on the tourist destinations and accommodations that the traveler has visited in the past. In addition, the tourist information generation unit can use the generation AI to analyze the traveler's past reservation history and suggest the optimal reservation timing and plan for the traveler. For example, the optimal reservation timing is suggested based on the time and frequency of the traveler's past reservations. This makes it possible to suggest the optimal reservation timing and plan based on the traveler's past reservation history.

[0043] The tourist information generation unit can analyze real-time inquiries from travelers and instantly generate an optimal travel plan. In the tourist information generation unit, for example, the generation AI analyzes real-time inquiries from travelers and instantly generates an optimal travel plan for the travelers. For example, if a traveler inquires about a specific tourist attraction, the generation AI suggests the optimal visiting time and route for that tourist attraction. In addition, the tourist information generation unit generates an optimal travel plan based on the traveler's real-time inquiries. For example, if a traveler inquires about a specific accommodation, the generation AI suggests the optimal reservation timing and plan for that accommodation. In addition, the tourist information generation unit analyzes real-time inquiries from travelers and instantly generates an optimal travel plan for the travelers. For example, if a traveler inquires about a specific event, the generation AI suggests the optimal way to participate in and schedule for that event. This makes it possible to instantly generate an optimal travel plan based on the traveler's real-time inquiries.

[0044] The tourist information generation unit works in conjunction with the traveler's reservation status to enable them to easily change or cancel their reservation. In the tourist information generation unit, for example, the generation AI analyzes the traveler's reservation status to enable them to easily change or cancel their reservation. For example, if a traveler wants to change their plans, the generation AI suggests the optimal way to make the change. In addition, the tourist information generation unit works in conjunction with the traveler's reservation status to enable the generation AI to easily change or cancel their reservation. For example, if a traveler wants to change their reservation at an accommodation facility, the generation AI suggests the optimal way to make the change. In addition, the tourist information generation unit analyzes the traveler's reservation status to enable them to easily change or cancel their reservation. For example, if a traveler wants to change their reservation for an event, the generation AI suggests the optimal way to make the change. In this way, in conjunction with the traveler's reservation status, it becomes easy to change or cancel a reservation.

[0045] The tourist information generation unit can analyze the content of travelers' inquiries and provide an automatic response function for frequently asked questions. In the tourist information generation unit, for example, the generation AI analyzes the content of travelers' inquiries and provides an automatic response function for frequently asked questions. For example, if a traveler inquires about the business hours of a tourist attraction, the generation AI automatically replies with the business hours of the tourist attraction. In addition, in the tourist information generation unit, the generation AI provides an automatic response function for frequently asked questions based on the content of travelers' inquiries. For example, if a traveler inquires about how to make reservations at accommodation, the generation AI automatically replies with the reservation method. In addition, in the tourist information generation unit, the generation AI analyzes the content of travelers' inquiries and provides an automatic response function for frequently asked questions. For example, if a traveler inquires about transportation, the generation AI automatically replies with information about that transportation. This makes it possible to provide an automatic response function for frequently asked questions based on the content of travelers' inquiries.

[0046] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0047] The tourist information system can further include a health management unit that monitors the traveler's health condition. For example, the health management unit monitors the traveler's heart rate and number of steps in real time and provides tourist information according to the traveler's health condition. If the traveler is tired, the generation AI will suggest places to rest and tourist spots where they can relax. Also, if the traveler is active, the generation AI will suggest hiking trails and sports facilities. This makes it possible to provide tourist information based on the traveler's health condition.

[0048] The tourist information system can further include a dietary management unit that manages the traveler's dietary restrictions and allergy information. For example, the dietary management unit can suggest restaurants that cater to allergies based on the traveler's allergy information. If a traveler has specific dietary restrictions, the generating AI can suggest restaurants or cafes that accommodate those restrictions. Furthermore, if a traveler desires healthy meals, the generating AI can suggest health-oriented restaurants. This makes it possible to provide tourist information based on the traveler's dietary restrictions and allergy information.

[0049] The tourist information system can further include a cultural information section that takes into account the cultural background of the traveler. For example, the cultural information section may suggest tourist spots related to the traveler's culture based on their country of origin and cultural background. If the traveler has a particular religion, the generating AI may suggest places and events related to that religion. Also, if the traveler is interested in a particular culture, the generating AI may suggest museums and exhibitions related to that culture. This allows the system to provide tourist information based on the traveler's cultural background.

[0050] The tourist information system can further include a pet management unit that manages information about travelers' pets. For example, the pet management unit can suggest pet-friendly tourist spots and accommodations based on the traveler's pet information. If the traveler is traveling with a pet, the generating AI can provide information about the pet's health condition and necessary care. Furthermore, if the traveler needs to leave their pet, the generating AI can provide information about reliable pet sitters and pet hotels. This allows the system to manage information about travelers' pets and provide pet-friendly tourist information.

[0051] The processing flow of the first embodiment will be briefly explained below.

[0052] Step 1: The location information acquisition unit acquires the current location of the traveler. For example, the location information acquisition unit acquires the current location of the traveler using GPS or Wi-Fi location information. Step 2: The tourist information generator generates a tourist information guide based on the current location information acquired by the generation AI. For example, the tourist information generator provides information on nearby tourist spots and events based on the traveler's current location information. Step 3: The tourist information providing unit provides the tourist information generated by the tourist information generating unit in the traveler's native language. For example, the tourist information providing unit provides the tourist information in text format, audio format, or image format.

[0053] (Example 2) The tourist information system according to an embodiment of the present invention provides multilingual tourist information for foreign tourists based on information from the internet. This system uses a generation AI to provide tourist information in the traveler's native language and uses location information to inform them of interesting tourist spots. This allows the tourist information system to access local tourist information even if the traveler does not speak Japanese, and to create optimal travel plans that take into account circumstances such as reservations and inquiries.

[0054] A tourist information system according to an embodiment includes a generation AI, a location information acquisition unit, a tourist information generation unit, and a tourist information provision unit. The generation AI provides tourist information in the traveler's native language. For example, the generation AI provides tourist information in the traveler's language, such as English, French, or Chinese. The generation AI also generates tourist information based on prompts containing instructions from the traveler about what the generation AI wants the AI ​​to do. For example, in response to a prompt such as, "Please tell me about some recommended restaurants nearby," the generation AI provides restaurant information for that area. The location information acquisition unit acquires the traveler's current location. For example, the location information acquisition unit acquires the traveler's current location using GPS. The current location can also be acquired using Wi-Fi location information. The tourist information generation unit generates tourist information based on the current location information acquired by the generation AI. For example, the tourist information generation unit provides information about nearby tourist spots and events based on the traveler's current location information. The tourist information provision unit provides the tourist information generated by the tourist information generation unit in the traveler's native language. For example, the tourist information provision unit provides tourist information in text format. The tourist information provision unit can also provide tourist information in audio format. Furthermore, tourist information can be provided in image format, which allows the tourist information system to provide tourist information in multiple languages ​​based on the traveler's current location.

[0055] The tourist information generation unit can analyze a traveler's past travel history and provide customized tourist information based on the traveler's preferences. For example, the generation AI analyzes a traveler's past travel history and provides customized tourist information based on the places the traveler has visited in the past and tourist spots that the traveler has been interested in. For example, if a traveler has visited many art museums in the past, the generation AI will prioritize providing information about art museums in that area. The tourist information generation unit also learns the traveler's preferences based on the traveler's past travel history and suggests tourist spots that the traveler might be interested in. For example, if a traveler has previously enjoyed visiting natural landscapes, the generation AI will suggest natural landscape spots in that area. The tourist information generation unit also analyzes a traveler's past travel history and provides tourist information tailored to the traveler based on events and activities the traveler has participated in in the past. For example, if a traveler has previously attended a music festival, the generation AI will provide information about music events in that area. This makes it possible to provide customized tourist information based on the traveler's preferences.

[0056] The tourist information providing unit can analyze real-time voice input from travelers and instantly generate multilingual tourist information. For example, when a traveler speaks a question to the generation AI, the generation AI analyzes the voice in real time and provides tourist information in the traveler's native language. For example, in response to the question, "What are some recommended restaurants nearby?", the generation AI instantly provides restaurant information in the area. The tourist information providing unit also analyzes the traveler's voice input and provides the tourist information the traveler desires in multiple languages. For example, when a traveler asks, "What are the opening hours of this museum?", the generation AI responds with the museum's opening hours in the traveler's native language. In addition, when a traveler speaks to the generation AI for tourist information, the generation AI analyzes the voice and provides detailed information about tourist spots in the traveler's native language. For example, in response to the question, "Please tell me about the history of this region," the generation AI provides historical information about the region. This enables multilingual tourist information to be provided in real time.

[0057] The tourist information generation unit can use the emotion estimation function to provide tourist information that corresponds to the emotional state of the traveler. For example, the generation AI of the tourist information generation unit analyzes the emotional state of the traveler in real time, and if the traveler feels like relaxing, it will suggest relaxing tourist spots such as quiet parks and cafes. Furthermore, if the traveler is excited, the generation AI of the tourist information generation unit analyzes the emotional state of the traveler and suggests active activities and events. For example, if the traveler is excited, the generation AI will suggest adventure sports and live events in the area. Furthermore, if the traveler is depressed, the generation AI of the tourist information generation unit analyzes the emotional state of the traveler and suggests tourist spots that will lift the traveler's spirits. For example, if the traveler is depressed, the generation AI will suggest beautiful scenery and fun activities in the area. This makes it possible to provide tourist information that corresponds to the emotional state of the traveler.

[0058] The tourist information providing unit can support language learning by providing tourist information in the language the traveler is learning. For example, in the tourist information providing unit, the generation AI provides tourist information in the language the traveler is learning, providing the traveler with an opportunity to actually use that language. For example, if the traveler is learning French, the generation AI provides tourist information in French. Furthermore, the tourist information providing unit supports the traveler in learning the language by providing tourist information in the language the traveler is learning. For example, if the traveler is learning Spanish, the generation AI provides information about tourist spots in Spanish. Furthermore, in the tourist information providing unit, the generation AI provides tourist information in the language the traveler is learning, and the traveler actually uses that language, thereby enhancing the effectiveness of language learning. For example, if the traveler is learning Japanese, the generation AI provides tourist information in Japanese. This can support the traveler's language learning.

[0059] The tourist information generation unit can link with a traveler's social media account to provide tourist information based on the traveler's interests and concerns. For example, the generation AI analyzes the traveler's social media account and provides tourist information based on themes and topics that the traveler is interested in. For example, if a traveler posts many times about art museums on social media, the generation AI provides information about art museums in that area. The tourist information generation unit also links with the traveler's social media account to suggest tourist spots that suit the traveler based on the accounts the traveler follows and the content of their posts. For example, if a traveler follows many restaurant-related accounts, the generation AI provides information about restaurants in that area. The tourist information generation unit also analyzes the traveler's social media account to provide tourist information based on events and activities that the traveler is interested in. For example, if a traveler posts many times about music events on social media, the generation AI provides information about music events in that area. This makes it possible to provide tourist information based on the traveler's interests and concerns.

[0060] The tourist guide generation unit uses the emotion estimation function to analyze the emotions of travelers when they receive the tourist guide and optimize the guidance method to elicit positive emotions. For example, the tourist guide generation unit uses a generation AI to analyze the emotional state of travelers in real time and provide tourist guides that will make the travelers feel positive emotions. For example, if the travelers are excited, the generation AI will suggest tourist spots that will further enhance those emotions. The tourist guide generation unit also analyzes the emotions of travelers when they receive the tourist guide and the generation AI will provide guidance methods that match those emotions. For example, if the travelers want to relax, the generation AI will suggest tourist spots where they can relax. The tourist guide generation unit also uses a generation AI to analyze the emotional state of travelers and provide tourist guides that will elicit positive emotions. For example, if the travelers are feeling depressed, the generation AI will suggest tourist spots that will lift their spirits. This makes it possible to optimize the guidance method to elicit positive emotions in travelers.

[0061] The tourist information generation unit can analyze the traveler's movement patterns and propose optimal tourist routes in real time. In the tourist information generation unit, for example, the generation AI analyzes the traveler's movement patterns and proposes the optimal route for the traveler to efficiently visit tourist spots. For example, if a traveler plans to visit multiple tourist spots, the generation AI optimizes the order and route. In addition, the tourist information generation unit proposes tourist routes in real time based on the traveler's movement patterns. For example, it provides the traveler with the shortest route from their current location to the next tourist spot. In addition, the tourist information generation unit analyzes the traveler's movement patterns and proposes routes for the traveler to efficiently visit tourist spots. For example, if the traveler travels on foot, the generation AI proposes tourist spots that are easily accessible on foot. This makes it possible to propose optimal tourist routes in real time based on the traveler's movement patterns.

[0062] The tourist information generation unit can suggest tourist spots based on the traveler's current location and future travel plans. For example, the generation AI of the tourist information generation unit analyzes the traveler's current location and future travel plans and suggests tourist spots that the traveler plans to visit. For example, it suggests tourist spots in the vicinity based on the next place the traveler plans to visit. Furthermore, the tourist information generation unit suggests tourist spots that match the traveler's future destination based on the traveler's travel plans. For example, it suggests tourist spots in the city that the traveler will visit next. Furthermore, the tourist information generation unit analyzes the traveler's current location and future travel plans and makes suggestions to help the traveler efficiently tour tourist spots. For example, it suggests tourist spots in the vicinity based on the next place the traveler will visit. This makes it possible to suggest tourist spots taking into account the traveler's current location and future travel plans.

[0063] The tourist information generation unit can use the emotion estimation function to select and guide travelers to relaxing and active places based on their emotional state. For example, the generation AI of the tourist information generation unit analyzes the emotional state of the traveler in real time, and if the traveler wants to relax, it will suggest relaxing tourist spots such as quiet parks and cafes. Furthermore, if the traveler is feeling active, the generation AI of the tourist information generation unit analyzes the traveler's emotional state and suggests active activities and events. For example, if the traveler is feeling active, the generation AI will suggest adventure sports and live events in the area. Furthermore, the tourist information generation unit analyzes the traveler's emotional state and suggests relaxing tourist spots if the traveler wants to relax. For example, if the traveler wants to relax, the generation AI will suggest quiet places and relaxing activities in the area. This makes it possible to guide travelers to relaxing and active places based on their emotional state.

[0064] The tourist information generation unit can combine the traveler's location information and weather information to suggest the most suitable tourist spots. For example, the generation AI in the tourist information generation unit analyzes the traveler's location information and weather information to suggest tourist spots where the traveler can spend a comfortable time. For example, indoor tourist spots will be suggested on rainy days. The tourist information generation unit also uses the generation AI to suggest the most suitable tourist spots based on the traveler's location information and weather information. For example, outdoor tourist spots will be suggested on sunny days. The tourist information generation unit also uses the generation AI to analyze the traveler's location information and weather information to suggest tourist spots where the traveler can spend a comfortable time. For example, cool places or tourist spots near water will be suggested on hot days. In this way, the tourist information and weather information of the traveler can be combined to suggest the most suitable tourist spots.

[0065] The tourist information generation unit can combine the traveler's location information and transportation information to suggest tourist spots that are easy to access. For example, the tourist information generation unit uses a generation AI to analyze the traveler's location information and transportation information to suggest tourist spots that are easy to access for the traveler. For example, it can suggest tourist spots that are easily accessible by public transportation. The tourist information generation unit also uses a generation AI to suggest the most suitable tourist spots based on the traveler's location information and transportation information. For example, it can suggest tourist spots that are easy to access on foot. The tourist information generation unit also uses a generation AI to analyze the traveler's location information and transportation information to suggest tourist spots that are easy to access for the traveler. For example, it can suggest tourist spots that are easy to access by car. This makes it possible to suggest tourist spots that are easy to access by combining the traveler's location information and transportation information.

[0066] The tourist information generation unit uses the emotion estimation function to collect emotional reactions at tourist spots visited by travelers and reflect them in their next travel plans. In the tourist information generation unit, for example, the generation AI analyzes the emotional state of travelers in real time and collects their emotional reactions at tourist spots visited by travelers. For example, if a traveler shows positive emotions at a particular tourist spot, that information is reflected in their next travel plan. In addition, the tourist information generation unit uses the generation AI to suggest their next travel plan based on their emotional reactions at tourist spots visited by travelers. For example, if a traveler shows positive emotions at a particular type of tourist spot, it will suggest similar types of tourist spots next time. In addition, the tourist information generation unit builds a system in which the generation AI collects travelers' emotional reaction data and reflects it in their next travel plan. For example, it customizes their next travel plan based on their emotional reactions at tourist spots visited by travelers. This makes it possible to reflect the travelers' emotional reactions in their next travel plan.

[0067] The tourist information generation unit can collect and provide the latest tourist information on the Internet in real time based on the interests of travelers. In the tourist information generation unit, for example, the generation AI analyzes the interests of travelers and collects the latest tourist information on the Internet in real time. For example, if a traveler is interested in historical places, the generation AI provides the latest historical information about that area. In addition, the tourist information generation unit collects tourist information on the Internet based on the interests of travelers and provides it in real time. For example, if a traveler is interested in gourmet food, the generation AI provides the latest restaurant information in that area. In addition, the tourist information generation unit analyzes the interests of travelers and collects the latest tourist information on the Internet in real time. For example, if a traveler is interested in art, the generation AI provides the latest art event information in that area. This makes it possible to provide the latest tourist information in real time based on the interests of travelers.

[0068] The tourist information generation unit can analyze the traveler's past search history and provide relevant tourist information preferentially. For example, the tourist information generation unit uses a generation AI to analyze the traveler's past search history and provide tourist information that the traveler is interested in preferentially. For example, it provides information related to tourist spots that the traveler has searched for in the past. Furthermore, the tourist information generation unit uses a generation AI to provide relevant tourist information preferentially based on the traveler's past search history. For example, it provides information related to restaurants that the traveler has searched for in the past. Furthermore, the tourist information generation unit uses a generation AI to analyze the traveler's past search history and provide tourist information that the traveler is interested in preferentially. For example, it provides information related to events that the traveler has searched for in the past. This makes it possible to provide relevant tourist information preferentially based on the traveler's past search history.

[0069] The tourist information generation unit can use the emotion estimation function to provide tourist information that is likely to interest travelers in an emotionally appealing manner. For example, the tourist information generation unit uses the generation AI to analyze the emotional state of travelers and provide tourist information that is likely to interest travelers in an emotionally appealing manner. For example, if a traveler is excited, the generation AI provides tourist information that will further enhance that emotion. The tourist information generation unit also uses the generation AI to provide tourist information that is emotionally appealing based on the emotional state of travelers. For example, if a traveler wants to relax, the generation AI provides tourist information that will help them relax. The tourist information generation unit also uses the generation AI to analyze the emotional state of travelers and provide tourist information that is likely to interest travelers in an emotionally appealing manner. For example, if a traveler is depressed, the generation AI provides tourist information that will lift their spirits. This makes it possible to provide tourist information that is likely to interest travelers in an emotionally appealing manner.

[0070] The tourist information generation unit can collect video content on the Internet based on the interests of the traveler and provide a visual tourist information guide. For example, the generation AI of the tourist information generation unit analyzes the interests of the traveler and collects video content on the Internet to provide a visual tourist information guide. For example, if the traveler is interested in historical places, the generation AI provides videos related to the history of the area. The tourist information generation unit also collects video content on the Internet based on the traveler's interests and provides a visual tourist information guide. For example, if the traveler is interested in gourmet food, the generation AI provides videos related to restaurants and cuisine in the area. The tourist information generation unit also analyzes the interests of the traveler and collects video content on the Internet to provide a visual tourist information guide. For example, if the traveler is interested in art, the generation AI provides videos related to art events and galleries in the area. This makes it possible to provide a visual tourist information guide based on the traveler's interests.

[0071] The tourist information generation unit can collect blogs and reviews on the Internet based on the traveler's interests and provide detailed tourist information. For example, the generation AI analyzes the traveler's interests and collects blogs and reviews on the Internet to provide detailed tourist information. For example, if the traveler is interested in historical places, the generation AI provides blogs and reviews about the history of the area. The tourist information generation unit also collects blogs and reviews on the Internet based on the traveler's interests and provides detailed tourist information. For example, if the traveler is interested in gourmet food, the generation AI provides blogs and reviews about restaurants and cuisine in the area. The tourist information generation unit also analyzes the traveler's interests and collects blogs and reviews on the Internet to provide detailed tourist information. For example, if the traveler is interested in art, the generation AI provides blogs and reviews about art events and galleries in the area. This makes it possible to provide detailed tourist information based on the traveler's interests.

[0072] The tourist information generation unit uses the emotion estimation function to analyze the emotions felt by travelers when receiving tourist information and optimize the information provision method to elicit positive emotions. For example, the tourist information generation unit uses a generation AI to analyze the emotional state of travelers in real time and provide tourist information that will make the travelers feel positive. For example, if a traveler is excited, the generation AI provides tourist information that will further enhance that emotion. The tourist information generation unit also analyzes the emotions felt by travelers when receiving tourist information and provides an information provision method tailored to that emotion. For example, if a traveler wants to relax, the generation AI provides tourist information that will help them relax. The tourist information generation unit also uses a generation AI to analyze the emotional state of travelers and provide tourist information that will elicit positive emotions. For example, if a traveler is depressed, the generation AI provides tourist information that will lift their spirits. This makes it possible to provide the optimal information provision method based on the travelers' emotions.

[0073] The tourist information generation unit can analyze the traveler's past reservation history and suggest the optimal reservation timing and plan. In the tourist information generation unit, for example, the generation AI analyzes the traveler's past reservation history and suggests the optimal timing for the traveler to make a reservation. For example, the optimal reservation timing is suggested based on the time and frequency of the traveler's past reservations. In addition, the tourist information generation unit can use the generation AI to suggest the optimal travel plan based on the traveler's past reservation history. For example, the optimal travel plan is suggested based on the tourist destinations and accommodations that the traveler has visited in the past. In addition, the tourist information generation unit can use the generation AI to analyze the traveler's past reservation history and suggest the optimal reservation timing and plan for the traveler. For example, the optimal reservation timing is suggested based on the time and frequency of the traveler's past reservations. This makes it possible to suggest the optimal reservation timing and plan based on the traveler's past reservation history.

[0074] The tourist information generation unit can analyze real-time inquiries from travelers and instantly generate an optimal travel plan. In the tourist information generation unit, for example, the generation AI analyzes real-time inquiries from travelers and instantly generates an optimal travel plan for the travelers. For example, if a traveler inquires about a specific tourist attraction, the generation AI suggests the optimal visiting time and route for that tourist attraction. In addition, the tourist information generation unit generates an optimal travel plan based on the traveler's real-time inquiries. For example, if a traveler inquires about a specific accommodation, the generation AI suggests the optimal reservation timing and plan for that accommodation. In addition, the tourist information generation unit analyzes real-time inquiries from travelers and instantly generates an optimal travel plan for the travelers. For example, if a traveler inquires about a specific event, the generation AI suggests the optimal way to participate in and schedule for that event. This makes it possible to instantly generate an optimal travel plan based on the traveler's real-time inquiries.

[0075] The tourist information generation unit can use the emotion estimation function to propose a travel plan to reduce stress based on the emotional state of the traveler. In the tourist information generation unit, for example, the generation AI analyzes the emotional state of the traveler in real time and proposes a travel plan to reduce stress for the traveler. For example, if the traveler wants to relax, the generation AI suggests tourist spots and accommodations where they can relax. In addition, the tourist information generation unit proposes a travel plan to reduce stress based on the emotional state of the traveler. For example, if the traveler wants to relax, the generation AI suggests tourist spots and accommodations where they can relax. In addition, the tourist information generation unit analyzes the emotional state of the traveler and proposes a travel plan to reduce stress for the traveler. For example, if the traveler wants to relax, the generation AI suggests tourist spots and accommodations where they can relax. In this way, a travel plan to reduce stress can be proposed based on the emotional state of the traveler.

[0076] The tourist information generation unit works in conjunction with the traveler's reservation status to enable them to easily change or cancel their reservation. In the tourist information generation unit, for example, the generation AI analyzes the traveler's reservation status to enable them to easily change or cancel their reservation. For example, if a traveler wants to change their plans, the generation AI suggests the optimal way to make the change. In addition, the tourist information generation unit works in conjunction with the traveler's reservation status to enable the generation AI to easily change or cancel their reservation. For example, if a traveler wants to change their reservation at an accommodation facility, the generation AI suggests the optimal way to make the change. In addition, the tourist information generation unit analyzes the traveler's reservation status to enable them to easily change or cancel their reservation. For example, if a traveler wants to change their reservation for an event, the generation AI suggests the optimal way to make the change. In this way, in conjunction with the traveler's reservation status, it becomes easy to change or cancel a reservation.

[0077] The tourist information generation unit can analyze the content of travelers' inquiries and provide an automatic response function for frequently asked questions. In the tourist information generation unit, for example, the generation AI analyzes the content of travelers' inquiries and provides an automatic response function for frequently asked questions. For example, if a traveler inquires about the business hours of a tourist attraction, the generation AI automatically replies with the business hours of the tourist attraction. In addition, in the tourist information generation unit, the generation AI provides an automatic response function for frequently asked questions based on the content of travelers' inquiries. For example, if a traveler inquires about how to make reservations at accommodation, the generation AI automatically replies with the reservation method. In addition, in the tourist information generation unit, the generation AI analyzes the content of travelers' inquiries and provides an automatic response function for frequently asked questions. For example, if a traveler inquires about transportation, the generation AI automatically replies with information about that transportation. This makes it possible to provide an automatic response function for frequently asked questions based on the content of travelers' inquiries.

[0078] The tourist information generation unit uses the emotion estimation function to analyze the emotions of travelers when they make reservations or inquiries, and can optimize responses to elicit positive emotions. In the tourist information generation unit, for example, the generation AI analyzes the emotional state of travelers in real time and analyzes their emotions when they make reservations or inquiries. For example, if a traveler is feeling stressed, the generation AI suggests responses to alleviate those emotions. The tourist information generation unit also analyzes the emotions of travelers when they make reservations or inquiries, and the generation AI provides responses tailored to those emotions. For example, if a traveler is feeling anxious, the generation AI suggests responses that give them a sense of security. In addition, the tourist information generation unit analyzes the emotional state of travelers and provides responses to elicit positive emotions. For example, if a traveler is excited, the generation AI suggests responses that further enhance those emotions. This makes it possible to provide optimal responses based on the traveler's emotions.

[0079] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0080] The tourist information system can further include a health management unit that monitors the traveler's health condition. For example, the health management unit monitors the traveler's heart rate and number of steps in real time and provides tourist information according to the traveler's health condition. If the traveler is tired, the generation AI will suggest places to rest and tourist spots where they can relax. Also, if the traveler is active, the generation AI will suggest hiking trails and sports facilities. This makes it possible to provide tourist information based on the traveler's health condition.

[0081] The tourist information system can further include a dietary management unit that manages the traveler's dietary restrictions and allergy information. For example, the dietary management unit can suggest restaurants that cater to allergies based on the traveler's allergy information. If a traveler has specific dietary restrictions, the generating AI can suggest restaurants or cafes that accommodate those restrictions. Furthermore, if a traveler desires healthy meals, the generating AI can suggest health-oriented restaurants. This makes it possible to provide tourist information based on the traveler's dietary restrictions and allergy information.

[0082] The tourist information system can further include a cultural information section that takes into account the cultural background of the traveler. For example, the cultural information section may suggest tourist spots related to the traveler's culture based on their country of origin and cultural background. If the traveler has a particular religion, the generating AI may suggest places and events related to that religion. Also, if the traveler is interested in a particular culture, the generating AI may suggest museums and exhibitions related to that culture. This allows the system to provide tourist information based on the traveler's cultural background.

[0083] The tourist information system can further provide relaxing music and podcasts to travelers based on their emotional state. For example, the generative AI analyzes the emotional state of a traveler, and if the traveler wants to relax, it will suggest relaxing music and podcasts. Also, if the traveler is excited, the generative AI will suggest music and podcasts that will further enhance that emotion. In this way, it is possible to provide relaxing music and podcasts based on the emotional state of a traveler.

[0084] The tourist information system can also provide relaxing aromas and scents to travelers based on their emotional state. For example, if the generating AI analyzes the emotional state of a traveler and the traveler wants to relax, it will suggest relaxing aromas and scents. Also, if the traveler is excited, the generating AI will suggest aromas and scents that will further enhance that emotion. This allows the system to provide relaxing aromas and scents based on the traveler's emotional state.

[0085] The tourist information system can further provide information on relaxing massages and spas for tourists based on the tourist's emotional state. For example, if the generating AI analyzes the tourist's emotional state and the tourist wants to relax, it will suggest information on relaxing massages and spas. Also, if the tourist is excited, the generating AI will suggest activities that will further enhance that emotion. This allows the system to provide information on relaxing massages and spas based on the tourist's emotional state.

[0086] The tourist information system can further provide information on yoga and meditation that will help travelers relax based on their emotional state. For example, the generating AI analyzes a traveler's emotional state, and if the traveler wants to relax, it will suggest information on relaxing yoga and meditation. Also, if the traveler is excited, the generating AI will suggest activities that will further enhance that emotion. This allows the system to provide information on relaxing yoga and meditation based on the traveler's emotional state.

[0087] The tourist information system can further provide relaxing natural sounds and scenery to travelers based on their emotional state. For example, the generation AI analyzes the emotional state of a traveler, and if the traveler wants to relax, it will suggest relaxing natural sounds and scenery. Also, if the traveler is excited, the generation AI will suggest natural sounds and scenery that will further enhance that emotion. In this way, it is possible to provide relaxing natural sounds and scenery based on the traveler's emotional state.

[0088] The tourist information system can further provide information on reading and movies that will help travelers relax based on their emotional state. For example, if the generating AI analyzes a traveler's emotional state and the traveler wants to relax, it will suggest information on reading and movies that will help travelers relax. Also, if the traveler is excited, the generating AI will suggest information on reading and movies that will further enhance that emotion. This allows the system to provide information on reading and movies that will help travelers relax based on their emotional state.

[0089] The tourist information system can further include a pet management unit that manages information about travelers' pets. For example, the pet management unit can suggest pet-friendly tourist spots and accommodations based on the traveler's pet information. If the traveler is traveling with a pet, the generating AI can provide information about the pet's health condition and necessary care. Furthermore, if the traveler needs to leave their pet, the generating AI can provide information about reliable pet sitters and pet hotels. This allows the system to manage information about travelers' pets and provide pet-friendly tourist information.

[0090] The processing flow of the second embodiment will be briefly explained below.

[0091] Step 1: The location information acquisition unit acquires the current location of the traveler. For example, the location information acquisition unit acquires the current location of the traveler using GPS or Wi-Fi location information. Step 2: The tourist information generator generates a tourist information guide based on the current location information acquired by the generation AI. For example, the tourist information generator provides information on nearby tourist spots and events based on the traveler's current location information. Step 3: The tourist information providing unit provides the tourist information generated by the tourist information generating unit in the traveler's native language. For example, the tourist information providing unit provides the tourist information in text format, audio format, or image format.

[0092] 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.

[0093] 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.

[0094] 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.

[0095] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0096] 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0097] 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.

[0098] 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.

[0099] 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.

[0100] 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).

[0101] 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.

[0102] 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.

[0103] 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.

[0104] 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.

[0105] 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.

[0106] 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.

[0107] 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.

[0108] 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.

[0109] 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.

[0110] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0111] 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.

[0112] 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.

[0113] 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.

[0114] 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.

[0115] 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).

[0116] 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.

[0117] 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.

[0118] 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.

[0119] 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.

[0120] 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.

[0121] 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.

[0122] 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.

[0123] 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.

[0124] 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.

[0125] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0126] 7, the 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.

[0127] 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.

[0128] 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.

[0129] 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.

[0130] 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).

[0131] 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.

[0132] 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.

[0133] 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.

[0134] 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.

[0135] 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.

[0136] 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.

[0137] 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.

[0138] 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.

[0139] 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.

[0140] 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.

[0141] 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.

[0142] 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.

[0143] 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.

[0144] 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).

[0145] 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.

[0146] 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."

[0147] 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.

[0148] 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.

[0149] 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.

[0150] 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.

[0151] 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.

[0152] 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.

[0153] 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.

[0154] 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.

[0155] 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.

[0156] 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.

[0157] 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.

[0158] 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]

[0159] 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. Equipped with generative AI, a location information acquisition unit that acquires the current location of the traveler; a tourist information generating unit that generates tourist information based on the current location information acquired by the generation AI; a tourist information providing unit that provides the tourist information generated by the tourist information generating unit in the tourist's native language. A system characterized by:

2. The tourist information generating unit Analyzing the travel history of the traveler and providing customized sightseeing information based on the traveler's preferences.

2. The system of claim 1.

3. The tourist information providing unit Analyze the traveler's real-time voice input and instantly generate multilingual tourist guides.

2. The system of claim 1.

4. The tourist information generating unit Analyzing the travel patterns of the travelers and proposing optimal sightseeing routes in real time 2. The system of claim 1.

5. The tourist information generating unit Combining the traveler's location information with weather information, the system suggests the best tourist spots.

2. The system of claim 1.

6. The tourist information generating unit Based on the interests of the traveler, collect and provide the latest tourist information on the Internet in real time.

2. The system of claim 1.

7. The tourist information generating unit Analyze the traveler's past booking history and suggest the best booking timing and plan 2. The system of claim 1.

8. The tourist information generating unit To provide tourist information according to the emotional state of the traveler 2. The system of claim 1.

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