System

Abstract

An object of a system according to an embodiment is to provide a traveler with not only sightseeing information but also emergency evacuation information at the time of a disaster.SOLUTION: A system according to an embodiment includes an information request analysis unit, a matching unit, a sightseeing information providing unit, and an emergency evacuation information providing unit. The information request analysis unit analyzes an information request from a traveler. The matching unit performs matching with an appropriate business operator or information provider on the basis of the information request analyzed by the information request analysis unit. The sightseeing information providing unit provides sightseeing information from the business operator or the information provider matched by the matching unit. The emergency evacuation information providing unit provides emergency evacuation information to travelers when a disaster occurs.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] Conventional technology has had the problem that the information provided to travelers is limited to tourist information, and emergency evacuation information in the event of a disaster is not provided adequately.

[0005] The system according to the embodiment aims to provide travelers with not only tourist information but also emergency evacuation information in the event of a disaster. [Means for solving the problem]

[0006] The system according to the embodiment includes an information request analysis unit, a matching unit, a tourist information provision unit, and an emergency evacuation information provision unit. The information request analysis unit analyzes information requests from travelers. The matching unit matches appropriate businesses and information providers based on the information requests analyzed by the information request analysis unit. The tourist information provision unit provides tourist information from businesses and information providers matched by the matching unit. The emergency evacuation information provision unit provides emergency evacuation information to travelers in the event of a disaster. [Effects of the Invention]

[0007] The system according to the embodiment can provide travelers with not only tourist information but also emergency evacuation information in the event of a disaster. [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 a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[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 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the specific processing unit 290 using these models.

[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) An information service system according to an embodiment of the present invention provides information services using AI to support travelers in having a smooth stay in Japan. This information service system matches information between travelers and businesses or information providers, and acts as a bridge between various types of information, including not only tourist information but also emergency evacuation information in the event of a disaster. This enables the information service system to smoothly provide information and evacuation information in an emergency to travelers.

[0029] The information service system according to the embodiment includes an information request analysis unit, a matching unit, a tourist information provision unit, and an emergency evacuation information provision unit. The information request analysis unit analyzes information requests from travelers. For example, if a traveler asks, "What are some recommended tourist spots in Tokyo?", the information request analysis unit analyzes the question and matches the request with appropriate businesses and information providers. The matching unit matches the request with appropriate businesses and information providers based on the information request analyzed by the information request analysis unit. For example, if a traveler requests, "I want to visit historical places," the matching unit analyzes the request and suggests historical tourist spots and events. The tourist information provision unit provides tourist information from businesses and information providers matched by the matching unit. For example, the system can suggest optimal tourist routes based on the traveler's current location and length of stay. The emergency evacuation information provision unit provides emergency evacuation information to travelers in the event of a disaster. For example, in the event of an earthquake, the emergency evacuation information provision unit identifies the traveler's current location and provides information on the nearest evacuation site and evacuation route. Furthermore, if there is a risk of flooding due to heavy rain, the emergency evacuation information provider notifies travelers of the need to evacuate and urges them to move to a safe location. This allows the information service system according to the embodiment to smoothly provide travelers with information and evacuation information in emergencies. For example, travelers can not only easily obtain tourist information, but also receive evacuation information quickly in the event of a disaster. Furthermore, multilingual support allows information to be provided across language barriers. Furthermore, collaboration with businesses allows comprehensive information to be provided to travelers.

[0030] The information request analysis unit can analyze a traveler's past travel history and reviews to identify the information provider that is best suited to each individual traveler. For example, the information request analysis unit analyzes a traveler's past travel history to identify the best information provider based on the places visited, the length of stay, and the review content. For example, it analyzes reviews of tourist spots visited in the past and suggests similar tourist spots. The information request analysis unit also analyzes reviews and ratings posted by a traveler in the past to identify preferences and interests. For example, if a traveler gives a high rating to a specific theme park or art museum, it suggests similar facilities. The information request analysis unit also matches an information provider who is knowledgeable about a specific region or theme based on the traveler's past travel history and reviews. For example, if a traveler is interested in historical tourist spots, it suggests a guide who specializes in history. In this way, the best information provider can be identified based on the traveler's past travel history and reviews.

[0031] The information request analysis unit can analyze the traveler's real-time behavioral data and provide information that is most appropriate for the current situation. For example, the information request analysis unit can analyze the traveler's GPS data in real time and suggest the best tourist spots and restaurants based on their current location. For example, if the traveler is in a specific area, it can notify the traveler of popular spots in that area. The information request analysis unit can also analyze the traveler's social media posts to identify their current interests. For example, if a traveler posts on social media that they want to eat delicious sushi, it can suggest nearby sushi restaurants. The information request analysis unit can also provide the best information based on the traveler's real-time behavioral data, taking into account current weather and event information. For example, if it is raining, it can suggest indoor tourist spots. This makes it possible to provide the best information based on the traveler's real-time behavioral data.

[0032] The tourist information providing unit can analyze the traveler's health data and propose a sightseeing plan according to their health condition. The tourist information providing unit, for example, analyzes the traveler's heart rate and step count data and proposes a sightseeing plan according to their health condition. For example, if their heart rate is high, it will propose tourist spots where they can relax. The tourist information providing unit also proposes a sightseeing route based on the health data that suits the traveler's physical strength and health condition. For example, if their step count is high, it will propose a sightseeing route that includes breaks. The tourist information providing unit also monitors the traveler's health data in real time and proposes activities according to their health condition. For example, if their heart rate is stable, it will propose an active activity. This makes it possible to propose the optimal sightseeing plan based on the traveler's health data.

[0033] The tourist information providing unit can propose appropriate restaurants and meal plans by taking into consideration the traveler's food preferences and allergy information. The tourist information providing unit, for example, proposes appropriate restaurants based on the traveler's food preferences and allergy information. For example, it introduces vegetarian restaurants to a vegetarian traveler. The tourist information providing unit also proposes the optimal meal plan for a traveler by taking into consideration the traveler's food preferences and allergy information. For example, it proposes gluten-free restaurants to a gluten-free traveler. The tourist information providing unit also analyzes the traveler's food preferences and allergy information in real time and proposes appropriate restaurants based on the traveler's current location. For example, it introduces nearby allergy-friendly restaurants. This makes it possible to propose optimal restaurants and meal plans based on the traveler's food preferences and allergy information.

[0034] The tourist information providing unit can analyze the interests and preferences of travelers in detail and generate individually customized tourist routes. The tourist information providing unit, for example, analyzes the interests and preferences of travelers in detail and generates individually customized tourist routes. For example, for a traveler who loves history, it proposes a route that goes around historical tourist spots. The tourist information providing unit also generates individually customized tourist routes based on the traveler's past travel history and reviews. For example, it proposes a route that combines places visited in the past with similar tourist spots. The tourist information providing unit also analyzes the interests and preferences of travelers in real time and generates tourist routes that are optimal for the current situation. For example, if a traveler is in a specific area, it proposes a route that combines tourist spots in that area. In this way, it is possible to generate individually customized tourist routes based on the traveler's interests and preferences.

[0035] The tourist information providing unit can propose an efficient sightseeing schedule by taking into consideration the traveler's length of stay and means of transportation. The tourist information providing unit proposes an efficient sightseeing schedule by taking into consideration, for example, the traveler's length of stay and means of transportation. For example, for a short stay, major tourist spots are prioritized. The tourist information providing unit also proposes an efficient sightseeing schedule based on the means of transportation. For example, for a traveler using public transportation, tourist spots with good transportation access are proposed. The tourist information providing unit also analyzes the traveler's length of stay and means of transportation in real time to propose an optimal sightseeing schedule. For example, if the length of stay is extended, new tourist spots are added. This makes it possible to propose an efficient sightseeing schedule based on the traveler's length of stay and means of transportation.

[0036] The tourist information providing unit can provide tourist information according to the season and weather and propose the optimal sightseeing plan. The tourist information providing unit, for example, provides tourist information according to the season and weather and proposes the optimal sightseeing plan. For example, it proposes famous cherry blossom spots in spring and indoor tourist spots on rainy days. The tourist information providing unit also analyzes weather data in real time and proposes the optimal sightseeing plan for the current weather. For example, it proposes outdoor activities on sunny days. The tourist information providing unit also proposes the optimal sightseeing plan based on seasonal event information. For example, it proposes a plan that incorporates seasonal events such as a summer festival or a fireworks display. In this way, it is possible to provide tourist information according to the season and weather and propose the optimal sightseeing plan.

[0037] The tourist information providing unit can suggest appropriate tourist spots and events by taking into account the cultural background and religious restrictions of the traveler. The tourist information providing unit, for example, can suggest appropriate tourist spots by taking into account the cultural background and religious restrictions of the traveler. For example, for a traveler who cannot go to a specific place for religious reasons, the unit can suggest alternative tourist spots. The tourist information providing unit can also suggest events and activities that are best suited to the traveler based on the cultural background. For example, it can suggest events and festivals related to a specific culture. The tourist information providing unit can also suggest sightseeing plans that are suitable for the traveler by taking into account religious restrictions. For example, for a traveler with specific dietary restrictions, it can suggest restaurants that can accommodate them. In this way, tourist spots and events can be suggested that take into account the cultural background and religious restrictions of the traveler.

[0038] The emergency evacuation information providing unit can analyze the traveler's current location and the congestion status of evacuation shelters in real time when a disaster occurs, and propose the optimal evacuation route. For example, when a disaster occurs, the emergency evacuation information providing unit analyzes the traveler's current location and the congestion status of evacuation shelters in real time, and propose the optimal evacuation route. For example, it proposes an available evacuation shelter based on the congestion level of the evacuation shelter. The emergency evacuation information providing unit also proposes the optimal evacuation route taking into account the distance between the current location and the evacuation shelter. For example, it proposes the shortest and safest evacuation route. The emergency evacuation information providing unit also monitors the congestion status of evacuation shelters in real time, and prioritizes proposing evacuation shelters with the least congestion. For example, it proposes the optimal evacuation route based on the congestion level of the evacuation shelter. This makes it possible to propose the optimal evacuation route when a disaster occurs.

[0039] The emergency evacuation information providing unit can provide an individually customized evacuation plan taking into account the traveler's health condition and mobility. The emergency evacuation information providing unit provides an individually customized evacuation plan based on, for example, the traveler's health condition and mobility. For example, a barrier-free evacuation route is suggested for a traveler with mobility issues. The emergency evacuation information providing unit also analyzes health data in real time and provides an evacuation plan according to the traveler's health condition. For example, if the heart rate is high, the unit suggests the shortest and safest evacuation route. The emergency evacuation information providing unit also provides an optimal evacuation plan taking into account the traveler's mobility. For example, an evacuation route that includes elevators and ramps is suggested for wheelchair users. This makes it possible to provide an evacuation plan that takes into account the traveler's health condition and mobility.

[0040] The emergency evacuation information provision unit can work with the embassy or consulate of the traveler's home country in the event of a disaster to provide necessary support information. The emergency evacuation information provision unit can work with the embassy or consulate of the traveler's home country in the event of a disaster to provide necessary support information. For example, it can provide evacuation sites and emergency contact information. The emergency evacuation information provision unit also obtains support information from embassies and consulates in real time and provides it to travelers. For example, it can provide information on emergency contact methods and support services. The emergency evacuation information provision unit can also work with the embassy or consulate of the traveler's home country to build a system that provides necessary support information. For example, it can provide information on the nearest embassy or consulate based on the traveler's current location. This makes it possible to work with the embassy or consulate of the traveler's home country in the event of a disaster to provide necessary support information.

[0041] The emergency evacuation information providing unit can provide an automatic notification function to inform the traveler's family and friends of the traveler's safety. For example, in the event of a disaster, the emergency evacuation information providing unit provides an automatic notification function to inform the traveler's family and friends of the traveler's safety. For example, it notifies the traveler's current location and safety status. The emergency evacuation information providing unit also builds a system that confirms the traveler's safety and automatically notifies the family and friends. For example, it sends a notification when the traveler arrives at an evacuation site. The emergency evacuation information providing unit also provides an automatic notification function to inform the traveler's family and friends of the traveler's safety. For example, it notifies the traveler's current location and evacuation status in real time. This allows the traveler's safety to be automatically notified to the family and friends.

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

[0043] The information request analysis unit can analyze a traveler's past purchasing history and suggest tourist spots and activities based on the traveler's interests and preferences. For example, it can analyze data on souvenirs and goods purchased by a traveler in the past and suggest related tourist spots. It can also suggest similar events and tours based on data on events and tours that a traveler has participated in in the past. It can also generate tourist routes related to specific themes based on a traveler's purchasing history. This makes it possible to provide more personalized tourist information by utilizing a traveler's purchasing history.

[0044] The tourist information provider can analyze the traveler's health data and suggest sightseeing plans that suit their health condition. For example, it can analyze the traveler's heart rate and step count data and suggest sightseeing spots that suit their health condition. If the heart rate is high, it can suggest sightseeing spots where you can relax. It can also suggest sightseeing routes that suit the traveler's physical strength and health condition based on the health data. For example, if the number of steps is high, it can suggest sightseeing routes that include breaks. It can also monitor the traveler's health data in real time and suggest activities that suit their health condition. This makes it possible to suggest optimal sightseeing plans based on the traveler's health data.

[0045] The tourist information provider can propose appropriate restaurants and meal plans by taking into consideration the traveler's food preferences and allergy information. For example, it can propose appropriate restaurants based on the traveler's food preferences and allergy information. For a vegetarian traveler, it can introduce vegetarian restaurants. It can also propose optimal meal plans for a traveler by taking into consideration the traveler's food preferences and allergy information. For example, it can propose gluten-free restaurants for a gluten-free traveler. It can also analyze the traveler's food preferences and allergy information in real time and propose appropriate restaurants based on the traveler's current location. This makes it possible to propose optimal restaurants and meal plans based on the traveler's food preferences and allergy information.

[0046] The tourist information providing unit can analyze the interests and preferences of travelers in detail and generate individually customized tourist routes. For example, it can analyze the interests and preferences of travelers in detail and generate individually customized tourist routes. For a traveler who loves history, it can suggest a route that goes around historical tourist spots. It is also possible to generate individually customized tourist routes based on the traveler's past travel history and reviews. For example, it can suggest a route that combines places visited in the past with similar tourist spots. Furthermore, it can analyze the interests and preferences of travelers in real time and generate tourist routes that are optimal for the current situation. This makes it possible to generate individually customized tourist routes based on the traveler's interests and preferences.

[0047] The tourist information providing unit can propose an efficient sightseeing schedule taking into consideration the traveler's length of stay and means of transportation. For example, an efficient sightseeing schedule can be proposed taking into consideration the traveler's length of stay and means of transportation. For a short stay, major tourist spots can be prioritized and proposed. It is also possible to propose an efficient sightseeing schedule based on the means of transportation. For example, tourist spots with good transportation access can be proposed to travelers who use public transportation. Furthermore, it is also possible to analyze the traveler's length of stay and means of transportation in real time and propose an optimal sightseeing schedule. This makes it possible to propose an efficient sightseeing schedule based on the traveler's length of stay and means of transportation.

[0048] The emergency evacuation information provision unit can provide necessary support information in cooperation with the embassy or consulate of the traveler's home country in the event of a disaster. For example, in the event of a disaster, it can provide necessary support information in cooperation with the embassy or consulate of the traveler's home country. It can provide evacuation sites and emergency contact information. It can also obtain support information from embassies and consulates in real time and provide it to travelers. Furthermore, it can also build a system that provides necessary support information in cooperation with the embassy or consulate of the traveler's home country. This makes it possible to provide necessary support information in cooperation with the embassy or consulate of the traveler's home country in the event of a disaster.

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

[0050] Step 1: The information request analysis unit analyzes the information request from the traveler. For example, if a traveler asks, "What are some recommended tourist spots in Tokyo?", the information request analysis unit analyzes the question and matches it with appropriate businesses and information providers. Step 2: The matching unit matches the information request analyzed by the information request analysis unit with appropriate businesses and information providers. For example, if a traveler requests to "visit historical places," the matching unit analyzes the request and suggests historical tourist spots and events. Step 3: The tourist information provider provides tourist information from businesses and information providers matched by the matching unit. For example, it can suggest optimal tourist routes based on the traveler's current location and length of stay. Step 4: The emergency evacuation information provider provides emergency evacuation information to travelers in the event of a disaster. For example, in the event of an earthquake, the emergency evacuation information provider will identify the traveler's current location and guide them to the nearest evacuation site and evacuation route. In addition, if there is a risk of flooding due to heavy rain, the emergency evacuation information provider will inform travelers of the need to evacuate and encourage them to move to a safe location.

[0051] (Example 2) An information service system according to an embodiment of the present invention provides information services using AI to support travelers in having a smooth stay in Japan. This information service system matches information between travelers and businesses or information providers, and acts as a bridge between various types of information, including not only tourist information but also emergency evacuation information in the event of a disaster. This enables the information service system to smoothly provide information and evacuation information in an emergency to travelers.

[0052] The information service system according to the embodiment includes an information request analysis unit, a matching unit, a tourist information provision unit, and an emergency evacuation information provision unit. The information request analysis unit analyzes information requests from travelers. For example, if a traveler asks, "What are some recommended tourist spots in Tokyo?", the information request analysis unit analyzes the question and matches the request with appropriate businesses and information providers. The matching unit matches the request with appropriate businesses and information providers based on the information request analyzed by the information request analysis unit. For example, if a traveler requests, "I want to visit historical places," the matching unit analyzes the request and suggests historical tourist spots and events. The tourist information provision unit provides tourist information from businesses and information providers matched by the matching unit. For example, the system can suggest optimal tourist routes based on the traveler's current location and length of stay. The emergency evacuation information provision unit provides emergency evacuation information to travelers in the event of a disaster. For example, in the event of an earthquake, the emergency evacuation information provision unit identifies the traveler's current location and provides information on the nearest evacuation site and evacuation route. Furthermore, if there is a risk of flooding due to heavy rain, the emergency evacuation information provider notifies travelers of the need to evacuate and urges them to move to a safe location. This allows the information service system according to the embodiment to smoothly provide travelers with information and evacuation information in emergencies. For example, travelers can not only easily obtain tourist information, but also receive evacuation information quickly in the event of a disaster. Furthermore, multilingual support allows information to be provided across language barriers. Furthermore, collaboration with businesses allows comprehensive information to be provided to travelers.

[0053] The information request analysis unit can analyze a traveler's past travel history and reviews to identify the information provider that is best suited to each individual traveler. For example, the information request analysis unit analyzes a traveler's past travel history to identify the best information provider based on the places visited, the length of stay, and the review content. For example, it analyzes reviews of tourist spots visited in the past and suggests similar tourist spots. The information request analysis unit also analyzes reviews and ratings posted by a traveler in the past to identify preferences and interests. For example, if a traveler gives a high rating to a specific theme park or art museum, it suggests similar facilities. The information request analysis unit also matches an information provider who is knowledgeable about a specific region or theme based on the traveler's past travel history and reviews. For example, if a traveler is interested in historical tourist spots, it suggests a guide who specializes in history. In this way, the best information provider can be identified based on the traveler's past travel history and reviews.

[0054] The information request analysis unit can analyze the traveler's real-time behavioral data and provide information that is most appropriate for the current situation. For example, the information request analysis unit can analyze the traveler's GPS data in real time and suggest the best tourist spots and restaurants based on their current location. For example, if the traveler is in a specific area, it can notify the traveler of popular spots in that area. The information request analysis unit can also analyze the traveler's social media posts to identify their current interests. For example, if a traveler posts on social media that they want to eat delicious sushi, it can suggest nearby sushi restaurants. The information request analysis unit can also provide the best information based on the traveler's real-time behavioral data, taking into account current weather and event information. For example, if it is raining, it can suggest indoor tourist spots. This makes it possible to provide the best information based on the traveler's real-time behavioral data.

[0055] The information request analysis unit can use the emotion estimation function to analyze the traveler's current emotional state and prioritize providing information to reduce stress. The information request analysis unit, for example, analyzes the traveler's facial expressions and voice to estimate the traveler's current emotional state. For example, if the traveler is tired, the information request analysis unit can suggest cafes or parks where the traveler can relax. The information request analysis unit also uses the emotion estimation function to suggest relaxing activities for the traveler when the traveler is feeling stressed. For example, it can recommend massage or hot spring facilities. The information request analysis unit also monitors the traveler's emotional state in real time and provides information to reduce stress. For example, if the traveler is feeling anxious, the information request analysis unit can suggest safe accommodations and support services. In this way, the traveler's emotional state can be analyzed and information to reduce stress can be provided.

[0056] The tourist information providing unit can analyze the traveler's health data and propose a sightseeing plan according to their health condition. The tourist information providing unit, for example, analyzes the traveler's heart rate and step count data and proposes a sightseeing plan according to their health condition. For example, if their heart rate is high, it will propose tourist spots where they can relax. The tourist information providing unit also proposes a sightseeing route based on the health data that suits the traveler's physical strength and health condition. For example, if their step count is high, it will propose a sightseeing route that includes breaks. The tourist information providing unit also monitors the traveler's health data in real time and proposes activities according to their health condition. For example, if their heart rate is stable, it will propose an active activity. This makes it possible to propose the optimal sightseeing plan based on the traveler's health data.

[0057] The tourist information providing unit can propose appropriate restaurants and meal plans by taking into consideration the traveler's food preferences and allergy information. The tourist information providing unit, for example, proposes appropriate restaurants based on the traveler's food preferences and allergy information. For example, it introduces vegetarian restaurants to a vegetarian traveler. The tourist information providing unit also proposes the optimal meal plan for a traveler by taking into consideration the traveler's food preferences and allergy information. For example, it proposes gluten-free restaurants to a gluten-free traveler. The tourist information providing unit also analyzes the traveler's food preferences and allergy information in real time and proposes appropriate restaurants based on the traveler's current location. For example, it introduces nearby allergy-friendly restaurants. This makes it possible to propose optimal restaurants and meal plans based on the traveler's food preferences and allergy information.

[0058] The tourist information providing unit can use the emotion estimation function to analyze the emotional reactions of travelers at places they have visited and suggest tourist spots that elicit positive emotions. For example, the tourist information providing unit analyzes the emotional reactions of travelers at places they have visited and suggest tourist spots that elicit positive emotions. For example, it suggests similar tourist spots based on the emotion scores of places they have visited in the past. The tourist information providing unit also uses the emotion estimation function to monitor the emotional reactions of travelers at places they have visited in real time and suggest tourist spots that elicit positive emotions. For example, if the traveler is enjoying themselves, it suggests similar activities. The tourist information providing unit also identifies and suggests tourist spots that elicit positive emotions based on the traveler's emotional reaction data. For example, it prioritizes suggesting places where travelers can relax. This makes it possible to suggest tourist spots that elicit positive emotions based on the traveler's emotional reactions.

[0059] The tourist information providing unit can analyze the interests and preferences of travelers in detail and generate individually customized tourist routes. The tourist information providing unit, for example, analyzes the interests and preferences of travelers in detail and generates individually customized tourist routes. For example, for a traveler who loves history, it proposes a route that goes around historical tourist spots. The tourist information providing unit also generates individually customized tourist routes based on the traveler's past travel history and reviews. For example, it proposes a route that combines places visited in the past with similar tourist spots. The tourist information providing unit also analyzes the interests and preferences of travelers in real time and generates tourist routes that are optimal for the current situation. For example, if a traveler is in a specific area, it proposes a route that combines tourist spots in that area. In this way, it is possible to generate individually customized tourist routes based on the traveler's interests and preferences.

[0060] The tourist information providing unit can propose an efficient sightseeing schedule by taking into consideration the traveler's length of stay and means of transportation. The tourist information providing unit proposes an efficient sightseeing schedule by taking into consideration, for example, the traveler's length of stay and means of transportation. For example, for a short stay, major tourist spots are prioritized. The tourist information providing unit also proposes an efficient sightseeing schedule based on the means of transportation. For example, for a traveler using public transportation, tourist spots with good transportation access are proposed. The tourist information providing unit also analyzes the traveler's length of stay and means of transportation in real time to propose an optimal sightseeing schedule. For example, if the length of stay is extended, new tourist spots are added. This makes it possible to propose an efficient sightseeing schedule based on the traveler's length of stay and means of transportation.

[0061] The tourist information providing unit can use the emotion estimation function to suggest tourist spots according to the emotional state of the traveler, thereby improving the travel experience. The tourist information providing unit, for example, uses the emotion estimation function to suggest tourist spots according to the emotional state of the traveler. For example, if the traveler wants to relax, a quiet park or cafe is suggested. The tourist information providing unit also monitors the emotional state of the traveler in real time and suggests tourist spots according to the emotion. For example, if the traveler is excited, an active activity is suggested. The tourist information providing unit also identifies and suggests tourist spots that are best suited to the emotional state of the traveler based on the emotion estimation data. For example, if the traveler is having fun, a similar activity is suggested. In this way, the tourist information providing unit can suggest the best tourist spots based on the emotional state of the traveler, improving the travel experience.

[0062] The tourist information providing unit can provide tourist information according to the season and weather and propose the optimal sightseeing plan. The tourist information providing unit, for example, provides tourist information according to the season and weather and proposes the optimal sightseeing plan. For example, it proposes famous cherry blossom spots in spring and indoor tourist spots on rainy days. The tourist information providing unit also analyzes weather data in real time and proposes the optimal sightseeing plan for the current weather. For example, it proposes outdoor activities on sunny days. The tourist information providing unit also proposes the optimal sightseeing plan based on seasonal event information. For example, it proposes a plan that incorporates seasonal events such as a summer festival or a fireworks display. In this way, it is possible to provide tourist information according to the season and weather and propose the optimal sightseeing plan.

[0063] The tourist information providing unit can suggest appropriate tourist spots and events by taking into account the cultural background and religious restrictions of the traveler. The tourist information providing unit, for example, can suggest appropriate tourist spots by taking into account the cultural background and religious restrictions of the traveler. For example, for a traveler who cannot go to a specific place for religious reasons, the unit can suggest alternative tourist spots. The tourist information providing unit can also suggest events and activities that are best suited to the traveler based on the cultural background. For example, it can suggest events and festivals related to a specific culture. The tourist information providing unit can also suggest sightseeing plans that are suitable for the traveler by taking into account religious restrictions. For example, for a traveler with specific dietary restrictions, it can suggest restaurants that can accommodate them. In this way, tourist spots and events can be suggested that take into account the cultural background and religious restrictions of the traveler.

[0064] The tourist information providing unit can use the emotion estimation function to analyze the emotional reactions of travelers at places they have visited in the past and suggest new tourist spots that elicit similar emotions. For example, the tourist information providing unit can analyze the emotional reactions of travelers at places they have visited in the past and suggest new tourist spots that elicit similar emotions. For example, it can suggest tourist spots similar to places that travelers have enjoyed in the past. The tourist information providing unit can also use the emotion estimation function to monitor the emotional reactions of travelers at places they have visited in the past in real time and suggest new tourist spots that elicit similar emotions. For example, it can suggest places where travelers can relax. The tourist information providing unit can also identify and suggest new tourist spots that elicit similar emotions based on the travelers' emotional reaction data. For example, it can suggest activities that excite travelers. In this way, it can suggest new tourist spots based on the travelers' past emotional reactions.

[0065] The emergency evacuation information providing unit can analyze the traveler's current location and the congestion status of evacuation shelters in real time when a disaster occurs, and propose the optimal evacuation route. For example, when a disaster occurs, the emergency evacuation information providing unit analyzes the traveler's current location and the congestion status of evacuation shelters in real time, and propose the optimal evacuation route. For example, it proposes an available evacuation shelter based on the congestion level of the evacuation shelter. The emergency evacuation information providing unit also proposes the optimal evacuation route taking into account the distance between the current location and the evacuation shelter. For example, it proposes the shortest and safest evacuation route. The emergency evacuation information providing unit also monitors the congestion status of evacuation shelters in real time, and prioritizes proposing evacuation shelters with the least congestion. For example, it proposes the optimal evacuation route based on the congestion level of the evacuation shelter. This makes it possible to propose the optimal evacuation route when a disaster occurs.

[0066] The emergency evacuation information providing unit can provide an individually customized evacuation plan taking into account the traveler's health condition and mobility. The emergency evacuation information providing unit provides an individually customized evacuation plan based on, for example, the traveler's health condition and mobility. For example, a barrier-free evacuation route is suggested for a traveler with mobility issues. The emergency evacuation information providing unit also analyzes health data in real time and provides an evacuation plan according to the traveler's health condition. For example, if the heart rate is high, the unit suggests the shortest and safest evacuation route. The emergency evacuation information providing unit also provides an optimal evacuation plan taking into account the traveler's mobility. For example, an evacuation route that includes elevators and ramps is suggested for wheelchair users. This makes it possible to provide an evacuation plan that takes into account the traveler's health condition and mobility.

[0067] The emergency evacuation information provision unit can use the emotion estimation function to analyze the stress level of a traveler and prioritize providing information that will give them a sense of security. The emergency evacuation information provision unit can, for example, use the emotion estimation function to analyze the stress level of a traveler and prioritize providing information that will give them a sense of security. For example, if a traveler is feeling anxious, the emergency evacuation information provision unit can suggest a safe evacuation site. The emergency evacuation information provision unit can also monitor the emotional state of a traveler in real time and provide information to reduce stress. For example, if a traveler is in a state of panic, the emergency evacuation information provision unit can provide advice to help the traveler stay calm. The emergency evacuation information provision unit can also analyze the stress level of a traveler based on the emotion estimation data and provide information that will give them a sense of security. For example, the emergency evacuation information provision unit can suggest a safe evacuation site or support service. This makes it possible to analyze the stress level of a traveler and provide information that will give them a sense of security.

[0068] The emergency evacuation information provision unit can work with the embassy or consulate of the traveler's home country in the event of a disaster to provide necessary support information. The emergency evacuation information provision unit can work with the embassy or consulate of the traveler's home country in the event of a disaster to provide necessary support information. For example, it can provide evacuation sites and emergency contact information. The emergency evacuation information provision unit also obtains support information from embassies and consulates in real time and provides it to travelers. For example, it can provide information on emergency contact methods and support services. The emergency evacuation information provision unit can also work with the embassy or consulate of the traveler's home country to build a system that provides necessary support information. For example, it can provide information on the nearest embassy or consulate based on the traveler's current location. This makes it possible to work with the embassy or consulate of the traveler's home country in the event of a disaster to provide necessary support information.

[0069] The emergency evacuation information providing unit can provide an automatic notification function to inform the traveler's family and friends of the traveler's safety. For example, in the event of a disaster, the emergency evacuation information providing unit provides an automatic notification function to inform the traveler's family and friends of the traveler's safety. For example, it notifies the traveler's current location and safety status. The emergency evacuation information providing unit also builds a system that confirms the traveler's safety and automatically notifies the family and friends. For example, it sends a notification when the traveler arrives at an evacuation site. The emergency evacuation information providing unit also provides an automatic notification function to inform the traveler's family and friends of the traveler's safety. For example, it notifies the traveler's current location and evacuation status in real time. This allows the traveler's safety to be automatically notified to the family and friends.

[0070] The emergency evacuation information provision unit can use the emotion estimation function to analyze the emotional state of the traveler and provide messages and information to give a sense of security. The emergency evacuation information provision unit, for example, uses the emotion estimation function to analyze the emotional state of the traveler and provide messages and information to give a sense of security. For example, if the traveler is feeling anxious, it sends a reassuring message. The emergency evacuation information provision unit also monitors the emotional state of the traveler in real time and provides information to give a sense of security. For example, if the traveler is in a state of panic, it provides advice to help the traveler stay calm. The emergency evacuation information provision unit also analyzes the emotional state of the traveler based on the emotion estimation data and provides messages and information to give a sense of security. For example, it suggests evacuation sites and support services where the traveler can feel safe. In this way, it is possible to analyze the emotional state of the traveler and provide messages and information to give a sense of security.

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

[0072] The information request analysis unit can analyze a traveler's past purchasing history and suggest tourist spots and activities based on the traveler's interests and preferences. For example, it can analyze data on souvenirs and goods purchased by a traveler in the past and suggest related tourist spots. It can also suggest similar events and tours based on data on events and tours that a traveler has participated in in the past. It can also generate tourist routes related to specific themes based on a traveler's purchasing history. This makes it possible to provide more personalized tourist information by utilizing a traveler's purchasing history.

[0073] The tourist information provider can analyze the traveler's health data and suggest sightseeing plans that suit their health condition. For example, it can analyze the traveler's heart rate and step count data and suggest sightseeing spots that suit their health condition. If the heart rate is high, it can suggest sightseeing spots where you can relax. It can also suggest sightseeing routes that suit the traveler's physical strength and health condition based on the health data. For example, if the number of steps is high, it can suggest sightseeing routes that include breaks. It can also monitor the traveler's health data in real time and suggest activities that suit their health condition. This makes it possible to suggest optimal sightseeing plans based on the traveler's health data.

[0074] The tourist information provider can propose appropriate restaurants and meal plans by taking into consideration the traveler's food preferences and allergy information. For example, it can propose appropriate restaurants based on the traveler's food preferences and allergy information. For a vegetarian traveler, it can introduce vegetarian restaurants. It can also propose optimal meal plans for a traveler by taking into consideration the traveler's food preferences and allergy information. For example, it can propose gluten-free restaurants for a gluten-free traveler. It can also analyze the traveler's food preferences and allergy information in real time and propose appropriate restaurants based on the traveler's current location. This makes it possible to propose optimal restaurants and meal plans based on the traveler's food preferences and allergy information.

[0075] The tourist information providing unit can analyze the interests and preferences of travelers in detail and generate individually customized tourist routes. For example, it can analyze the interests and preferences of travelers in detail and generate individually customized tourist routes. For a traveler who loves history, it can suggest a route that goes around historical tourist spots. It is also possible to generate individually customized tourist routes based on the traveler's past travel history and reviews. For example, it can suggest a route that combines places visited in the past with similar tourist spots. Furthermore, it can analyze the interests and preferences of travelers in real time and generate tourist routes that are optimal for the current situation. This makes it possible to generate individually customized tourist routes based on the traveler's interests and preferences.

[0076] The tourist information providing unit can propose an efficient sightseeing schedule taking into consideration the traveler's length of stay and means of transportation. For example, an efficient sightseeing schedule can be proposed taking into consideration the traveler's length of stay and means of transportation. For a short stay, major tourist spots can be prioritized and proposed. It is also possible to propose an efficient sightseeing schedule based on the means of transportation. For example, tourist spots with good transportation access can be proposed to travelers who use public transportation. Furthermore, it is also possible to analyze the traveler's length of stay and means of transportation in real time and propose an optimal sightseeing schedule. This makes it possible to propose an efficient sightseeing schedule based on the traveler's length of stay and means of transportation.

[0077] The tourist information provider can use the emotion estimation function to analyze the emotional reactions of travelers at places they have visited and suggest tourist spots that elicit positive emotions. For example, it can analyze the emotional reactions of travelers at places they have visited and suggest tourist spots that elicit positive emotions. It can suggest similar tourist spots based on the emotion scores of places they have visited in the past. It can also use the emotion estimation function to monitor the emotional reactions of travelers at places they have visited in real time and suggest tourist spots that elicit positive emotions. It can also identify and suggest tourist spots that elicit positive emotions based on the travelers' emotional reaction data. This makes it possible to suggest tourist spots that elicit positive emotions based on the travelers' emotional reactions.

[0078] The tourist information providing unit can use the emotion estimation function to suggest tourist spots that correspond to the emotional state of the traveler, thereby improving the travel experience. For example, the emotion estimation function can be used to suggest tourist spots that correspond to the emotional state of the traveler. If the traveler wants to relax, a quiet park or cafe can be suggested. It is also possible to monitor the emotional state of the traveler in real time and suggest tourist spots that correspond to the emotion. Furthermore, it is also possible to identify and suggest tourist spots that are best suited to the emotional state of the traveler based on the emotion estimation data. This makes it possible to suggest the best tourist spots based on the emotional state of the traveler, improving the travel experience.

[0079] The emergency evacuation information provision unit can use the emotion estimation function to analyze the stress level of the traveler and provide information that gives a sense of security preferentially. For example, the emotion estimation function can be used to analyze the stress level of the traveler and provide information that gives a sense of security preferentially. If the traveler is feeling anxious, it can suggest a safe evacuation site. It is also possible to monitor the traveler's emotional state in real time and provide information to reduce stress. Furthermore, it is also possible to analyze the traveler's stress level based on the emotion estimation data and provide information that gives a sense of security. This makes it possible to analyze the traveler's stress level and provide information that gives a sense of security.

[0080] The emergency evacuation information provision unit can use the emotion estimation function to analyze the emotional state of the traveler and provide messages and information that give a sense of security. For example, the emotion estimation function can be used to analyze the emotional state of the traveler and provide messages and information that give a sense of security. If the traveler is feeling anxious, a reassuring message can be sent. It is also possible to monitor the emotional state of the traveler in real time and provide information that gives a sense of security. Furthermore, based on the emotion estimation data, it is also possible to analyze the emotional state of the traveler and provide messages and information that give a sense of security. This makes it possible to analyze the emotional state of the traveler and provide messages and information that give a sense of security.

[0081] The emergency evacuation information provision unit can provide necessary support information in cooperation with the embassy or consulate of the traveler's home country in the event of a disaster. For example, in the event of a disaster, it can provide necessary support information in cooperation with the embassy or consulate of the traveler's home country. It can provide evacuation sites and emergency contact information. It can also obtain support information from embassies and consulates in real time and provide it to travelers. Furthermore, it can also build a system that provides necessary support information in cooperation with the embassy or consulate of the traveler's home country. This makes it possible to provide necessary support information in cooperation with the embassy or consulate of the traveler's home country in the event of a disaster.

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

[0083] Step 1: The information request analysis unit analyzes the information request from the traveler. For example, if a traveler asks, "What are some recommended tourist spots in Tokyo?", the information request analysis unit analyzes the question and matches it with appropriate businesses and information providers. Step 2: The matching unit matches the information request analyzed by the information request analysis unit with appropriate businesses and information providers. For example, if a traveler requests to "visit historical places," the matching unit analyzes the request and suggests historical tourist spots and events. Step 3: The tourist information provider provides tourist information from businesses and information providers matched by the matching unit. For example, it can suggest optimal tourist routes based on the traveler's current location and length of stay. Step 4: The emergency evacuation information provider provides emergency evacuation information to travelers in the event of a disaster. For example, in the event of an earthquake, the emergency evacuation information provider will identify the traveler's current location and guide them to the nearest evacuation site and evacuation route. In addition, if there is a risk of flooding due to heavy rain, the emergency evacuation information provider will inform travelers of the need to evacuate and encourage them to move to a safe location.

[0084] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0085] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> Examples of generative AIs include the data generation model 58, such as a neural network model (e.g., a neural network model), and a neural network model (e.g., a neural network model). The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating speech, text data indicating text, and image data indicating an image is also input to the data generation model 58. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specification processing unit 290 performs the above-mentioned specification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0086] Furthermore, the processing by the data processing system 10 described above is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart device 14, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart device 14. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the smart device 14 or an external device, and the smart device 14 acquires or collects information necessary for processing from the data processing device 12 or an external device.

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

[0088] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0089] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0090] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0091] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0092] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0093] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0094] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0095] The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0096] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0097] In the smart glasses 214, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. The smart glasses 214 also have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0098] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0099] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0100] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0101] The data processing system 210 according to the second embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 210 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart glasses 214, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart glasses 214. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the smart glasses 214 or an external device, etc., and the smart glasses 214 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

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

[0103] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0104] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0105] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0106] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0107] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0108] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0109] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0110] The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0111] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0112] In the headset type terminal 314, 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 headset type terminal 314 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the specific processing unit 290 using these models.

[0113] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0114] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0115] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0116] The data processing system 310 according to the third embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 310 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the headset type terminal 314, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the headset type terminal 314. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the headset type terminal 314 or an external device, etc., and the headset type terminal 314 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

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

[0118] 7, 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.

[0119] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0120] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[0121] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0122] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS image sensor or a CCD image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0123] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0124] The control object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[0125] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0126] The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0127] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0128] In the robot 414, 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. The robot 414 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the specific processing unit 290 using these models.

[0129] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0130] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[0131] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0132] The data processing system 410 according to the fourth embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 410 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the robot 414, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the robot 414. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the robot 414 or an external device, etc., and the robot 414 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0133] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0134] FIG. 9 illustrates an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and behaviors arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion encompasses both emotions and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[0135] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[0136] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[0137] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is expressed, and when they approach the ideal, a state of pleasure is expressed. Emotions can also be created for robots, cars, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is expressed, and when they approach the ideal, a state of pleasure is expressed. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on speech emotion recognition and brain physiological signal analysis systems for emotions, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the area called "reaction," where sensation is dominant. The right half of the emotion map lists emotions belonging to the area called "situation," where situational awareness is dominant.

[0138] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[0139] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[0140] In the above embodiment, an example was given in which a specific process is performed by one computer 22, but the technology disclosed herein is not limited to this, and distributed processing of the specific process may be performed by multiple computers including computer 22.

[0141] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[0142] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[0143] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[0144] The hardware resource for executing a specific process can be any of the following types of processors: A processor, for example, is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. A processor also includes a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[0145] The hardware resource that executes the specific process may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific process may be a single processor.

[0146] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[0147] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[0148] In the above example, the first to fourth embodiments have been described separately, but some or all of these embodiments may be combined. The smart device 14, smart glasses 214, headset terminal 314, and robot 414 are merely examples, and they may be combined, or other devices may be used. In the above example, the first and second embodiments have been described separately, but they may be combined.

[0149] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[0150] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference. [Explanation of symbols]

[0151] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot

Claims

1. an information request analysis unit that analyzes information requests from travelers; a matching unit that matches appropriate businesses and information providers based on the information request analyzed by the information request analysis unit; a tourist information providing unit that provides tourist information from businesses and information providers matched by the matching unit; and an emergency evacuation information providing unit that provides emergency evacuation information to travelers in the event of a disaster. A system characterized by:

2. The information request analysis unit Analyzing the travel history and reviews of the traveler, and identifying the information provider that is best suited to the individual traveler.

2. The system of claim 1.

3. The information request analysis unit Analyze real-time travel behavior data of the traveler and provide information that is most appropriate for the current situation 2. The system of claim 1.

4. The information request analysis unit Analyzing the traveler's current emotional state and providing information to reduce stress preferentially 2. The system of claim 1.

5. The tourist information providing unit Analyze the health data of the traveler and propose a sightseeing plan based on their health condition 2. The system of claim 1.

6. The tourist information providing unit Considering the traveler's dietary preferences and allergy information, suggest appropriate restaurants and meal plans 2. The system of claim 1.

7. The tourist information providing unit Analyze the emotional responses of the traveler to the places they visit and suggest tourist spots that elicit positive emotions.

2. The system of claim 1.

8. The tourist information providing unit Analyze the interests and preferences of the traveler in detail and generate individually customized sightseeing routes 2. The system of claim 1.

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