System

Abstract

An object of a system according to an embodiment is to provide an optimal tour plan according to a situation of an individual or a group.SOLUTION: A system according to an embodiment includes a generation AI, AR technology, a customization unit, a real-time information provision unit, and a feedback collection unit. The generation AI analyzes a user's interest, a past visit history, and a current situation and generates an optimal tour plan. AR technology enhances the experience in the field. The customization unit customizes the tour plan in accordance with a situation of an individual or an organization. The real-time information providing unit provides information in real time. The feedback collection unit collects feedback from the user.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] With conventional technology, there was a problem in that sightseeing tours and stamp rallies became less enjoyable once they were experienced.

[0005] The system according to the embodiment aims to provide an optimal tour plan according to the circumstances of an individual or a group. [Means for solving the problem]

[0006] The system according to the embodiment includes a generation AI, AR technology, a customization unit, a real-time information provision unit, and a feedback collection unit. The generation AI analyzes the user's interests, past visit history, and current situation to generate an optimal tour plan. The AR technology enhances the on-site experience. The customization unit customizes the tour plan according to the situation of an individual or group. The real-time information provision unit provides information in real time. The feedback collection unit collects feedback from the user. [Effects of the Invention]

[0007] The system according to the embodiment can provide an optimal tour plan according to the circumstances of an individual or a group. [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) The UTour system according to an embodiment of the present invention is a system in which a generation AI analyzes a user's interests, past visit history, and current situation to generate an optimal tour plan, AR technology enhances the on-site experience, a customization unit customizes the tour plan according to the situation of an individual or group, a real-time information provision unit provides information in real time, and a feedback collection unit collects feedback from users. As a result, the UTour system can provide optimal tours according to the situation of an individual or group, realizing a tourist experience that can be enjoyed over and over again.

[0029] The UTour system according to the embodiment includes a generation AI, AR technology, a customization unit, a real-time information provision unit, and a feedback collection unit. The generation AI analyzes a user's interests, past visit history, and current situation to generate an optimal tour plan. For example, if the user is a fan of a particular anime or drama, the generation AI may suggest a tour that visits spots related to that work. The generation AI may also avoid previously visited spots and suggest new spots based on the user's visit history. Furthermore, the generation AI may generate an optimal tour plan taking into account the user's current situation (e.g., weather and traffic conditions). AR technology enhances the on-site experience. For example, it may make anime or drama characters appear on a smartphone or tablet. Furthermore, AR technology may be used to provide information about the history and culture of the local area, deepening visitors' understanding. The customization unit customizes the tour plan according to the individual or group situation. For example, it may suggest a plan that includes activities for children for a family, or suggest activities that can be enjoyed together for a group of friends. The real-time information provision unit provides real-time information. For example, it may adjust the tour plan according to weather and traffic conditions and suggest the optimal route. The system also enhances the visitor experience by providing information on local events and special offers. The feedback collection unit collects feedback from users. For example, if a user particularly likes a particular spot, the system can adjust the next tour plan based on that information. This allows the UTour system to provide optimal tours tailored to the circumstances of individuals and groups, creating a tourist experience that can be enjoyed again and again.

[0030] Generative AI can analyze social media activity and generate tour plans that reflect the user's latest interests. For example, generative AI can analyze a user's social media activity and generate tour plans that reflect the user's latest interests. For example, it can incorporate events and places that the user has recently taken an interest in into the tour. Generative AI can also analyze social media posts and suggest tour plans that reflect the user's latest interests. For example, it can select spots based on photos and comments shared by the user. Generative AI can also analyze a user's social media activity in real time and generate tour plans that reflect the latest trends and interests. For example, it can customize the tour based on information from accounts the user follows. This makes it possible to generate tour plans that reflect the user's latest interests.

[0031] The generation AI can analyze past travel data and optimize the next tour plan based on the satisfaction level of the visited destinations. For example, the generation AI can analyze the user's past travel data and optimize the next tour plan based on the satisfaction level of the visited destinations. For example, it can propose a plan to revisit spots that the user has given a high rating. The generation AI can also generate tour plans that include activities that the user was particularly satisfied with based on the past travel data. For example, it can re-incorporate activities that the user enjoyed. The generation AI can also analyze the user's past travel data and optimize the next tour plan centered on spots that gave high satisfaction. For example, it can propose a plan to revisit restaurants and tourist attractions that the user has given a high rating. This makes it possible to optimize the next tour plan based on the user's past travel data.

[0032] Generative AI can generate tour plans that cater to users of different languages ​​and cultural backgrounds, thereby meeting international tourism demand. For example, generative AI generates tour plans that cater to users of different languages ​​and cultural backgrounds. For example, it provides guides and explanations in the languages ​​of each country. Generative AI can also generate tour plans that take cultural backgrounds and customs into account to accommodate users of different cultural backgrounds. For example, it can avoid spots that require religious considerations. Generative AI can also provide tour plans that cater to users of different languages ​​and cultural backgrounds to meet international tourism demand. For example, it can provide apps and guides that support multiple languages. This allows generative AI to generate tour plans that cater to users of different languages ​​and cultural backgrounds, thereby meeting international tourism demand.

[0033] The generation AI can analyze health data and propose a reasonable tour plan based on the user's physical condition. For example, the generation AI can analyze the user's health data and propose a reasonable tour plan based on the user's physical condition. For example, it can provide a plan that takes walking distance and rest time into consideration. The generation AI can also propose activities based on the user's health data that suit the user's physical condition. For example, it can suggest lighter activities for users who are not confident in their physical strength. The generation AI can also analyze health data and customize a tour plan based on the user's physical condition. For example, it can adjust the meal contents and rest spots based on the user's health condition. This makes it possible to propose a reasonable tour plan based on the user's health data.

[0034] AR technology can provide a time travel function that allows users to experience past events at a specific spot. AR technology provides a time travel function that allows users to experience past events at a specific spot, for example, by recreating historical events. AR technology also visually recreates past events when a user arrives at a specific spot, for example, by displaying buildings and scenery from the past. AR technology also uses the time travel function to provide AR effects that allow users to experience past events, for example, by recreating people and events from the past. This allows a time travel function to be provided that allows users to experience past events at a specific spot.

[0035] AR technology can add social functions that allow users to interact with other visitors in a virtual space. AR technology adds social functions that allow users to interact with other visitors in a virtual space, for example, by providing chat and avatar interaction in the virtual space. AR technology also provides social functions that allow users to interact with other visitors in real time through AR technology, for example, by suggesting joint activities in the virtual space. AR technology also provides AR effects that allow users to interact with other visitors in the virtual space using the social functions, for example, by providing events and games in the virtual space. This makes it possible to provide social functions that allow users to interact with other visitors in the virtual space.

[0036] AR technology can add a game element that allows a user to receive a reward by completing a specific mission at a destination. AR technology adds a game element that allows a user to receive a reward by completing a specific mission at a destination. For example, by visiting a specific spot, a digital item can be obtained. AR technology also provides an AR game in which a user can receive a reward by completing a mission at a destination. For example, points can be earned by completing a specific activity. AR technology also uses a game element to provide an AR effect in which a user can receive a reward by completing a specific mission at a destination. For example, by completing a quiz or challenge at a specific location. This makes it possible to provide a game element in which a user can receive a reward by completing a specific mission at a destination.

[0037] Generative AI can analyze social media activity in real time and provide information that reflects the user's latest interests. For example, generative AI can analyze social media activity in real time and provide information that reflects the user's latest interests. For example, it can provide information about events and places that the user has recently taken an interest in. Generative AI can also analyze social media posts in real time and provide information that reflects the user's latest interests. For example, it can provide information about spots based on photos and comments shared by the user. Generative AI can also analyze the user's social media activity in real time and provide information that reflects the latest trends and interests. For example, it can provide information about the latest events based on information about accounts the user follows. This makes it possible to provide information that reflects the user's latest interests in real time.

[0038] The generation AI can analyze health data in real time and provide reasonable information based on the user's physical condition. The generation AI can, for example, analyze health data in real time and provide reasonable information based on the user's physical condition. For example, it can provide information that takes walking distance and rest time into consideration. The generation AI can also provide activity information based on the user's physical condition based on the user's health data. For example, it can provide lighter activity information for users who are not confident in their physical strength. The generation AI can also analyze health data in real time and customize information based on the user's physical condition. For example, it can provide information on meal contents and rest spots based on the user's health condition. This makes it possible to provide reasonable information based on the user's health data in real time.

[0039] Generative AI can provide information tailored to users of different languages ​​and cultural backgrounds in real time, thereby meeting international tourism demand. Generative AI can, for example, provide information tailored to users of different languages ​​and cultural backgrounds in real time. For example, it can provide guides and explanations tailored to each country's language in real time. Generative AI can also provide information that takes cultural backgrounds and customs into account in real time to meet users of different cultural backgrounds. For example, it can provide information on spots that require religious considerations. Generative AI can also provide information tailored to users of different languages ​​and cultural backgrounds in real time to meet international tourism demand. For example, it can provide multilingual apps and guides in real time. This allows information tailored to users of different languages ​​and cultural backgrounds to be provided in real time, thereby meeting international tourism demand.

[0040] The generation AI can analyze location information in real time and suggest the optimal route. For example, the generation AI can analyze location information in real time and suggest the optimal route. For example, it can provide the most efficient route to visit tourist spots from the current location. The generation AI can also suggest the optimal route in real time based on the user's location information. For example, it can provide a route that takes traffic conditions and congestion into consideration. The generation AI can also analyze location information in real time and dynamically adjust the optimal route according to the user's movement. For example, it can suggest a new route if the user stops at an unplanned location. This makes it possible to suggest the optimal route in real time based on the user's location information.

[0041] The generative AI can analyze social media activity and collect feedback that reflects the user's latest interests and concerns. For example, the generative AI analyzes social media activity and collects feedback that reflects the user's latest interests and concerns. For example, it collects feedback on events and places that the user has recently taken an interest in. The generative AI also analyzes the content of social media posts and collects feedback that reflects the user's latest interests and concerns. For example, it collects feedback based on photos and comments shared by the user. The generative AI also analyzes the user's social media activity in real time and collects feedback that reflects the latest trends and concerns. For example, it collects feedback based on information about accounts that the user follows. This makes it possible to collect feedback that reflects the user's latest interests and concerns.

[0042] The generation AI can analyze past travel data and optimize the next tour plan based on the satisfaction level of the visited destinations. For example, the generation AI can analyze the user's past travel data and optimize the next tour plan based on the satisfaction level of the visited destinations. For example, it can propose a plan to revisit spots that the user has given a high rating. The generation AI can also generate tour plans that include activities that the user was particularly satisfied with based on the past travel data. For example, it can re-incorporate activities that the user enjoyed. The generation AI can also analyze the user's past travel data and optimize the next tour plan centered on spots that gave high satisfaction. For example, it can propose a plan to revisit restaurants and tourist attractions that the user has given a high rating. This makes it possible to optimize the next tour plan based on the user's past travel data.

[0043] The generation AI can analyze health data and collect reasonable feedback based on the user's physical condition. For example, the generation AI analyzes the user's health data and collects reasonable feedback based on the user's physical condition. For example, it collects feedback that takes walking distance and rest time into consideration. The generation AI also collects activity feedback based on the user's health data and the user's physical condition. For example, it collects feedback on lighter activities for users who are not confident in their physical strength. The generation AI also analyzes health data and customizes feedback based on the user's physical condition. For example, it collects feedback on meal contents and rest spots based on the user's health condition. This makes it possible to collect reasonable feedback based on the user's health data.

[0044] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0045] The generation AI can analyze the user's health data and propose a reasonable tour plan based on their physical condition. For example, it can provide a plan that takes walking distance and rest times into consideration. The generation AI can also suggest activities based on the user's health data that suit their physical condition. For example, it can suggest lighter activities for users who are not confident in their physical strength. The generation AI can also analyze the health data and customize a tour plan based on the user's physical condition. For example, it can adjust meal contents and rest spots based on the user's health condition. This makes it possible to propose a reasonable tour plan based on the user's health data.

[0046] Generative AI can generate tour plans that cater to users of different languages ​​and cultural backgrounds, meeting international tourism demand. For example, it can provide guides and explanations in each country's language. Generative AI can also generate tour plans that take cultural backgrounds and customs into account to accommodate users of different cultural backgrounds. For example, it can avoid spots that require religious considerations. Generative AI can also provide tour plans that cater to users of different languages ​​and cultural backgrounds to meet international tourism demand. For example, it can provide apps and guides that support multiple languages. This allows it to generate tour plans that cater to users of different languages ​​and cultural backgrounds, meeting international tourism demand.

[0047] AR technology can provide a time travel function that allows users to experience past events at a specific spot. For example, historical events can be recreated. AR technology can also visually recreate past events when a user arrives at a specific spot. For example, past buildings and scenery can be displayed. AR technology can also use the time travel function to provide AR effects that allow users to experience past events. For example, past people and events can be recreated. This allows a time travel function to be provided that allows users to experience past events at a specific spot.

[0048] AR technology can add social functions that allow users to interact with other visitors in virtual spaces. For example, it can provide chat and avatar interaction in virtual spaces. AR technology also provides social functions that allow users to interact with other visitors in real time through AR technology. For example, it can suggest joint activities in virtual spaces. AR technology also uses social functions to provide AR effects that allow users to interact with other visitors in virtual spaces. For example, it can provide events and games in virtual spaces. This can provide social functions that allow users to interact with other visitors in virtual spaces.

[0049] AR technology can add game elements that allow users to receive rewards by completing specific missions at destinations. For example, by visiting specific spots, users can obtain digital items. AR technology can also provide AR games that allow users to receive rewards by completing missions at destinations. For example, by completing specific activities. AR technology can also use game elements to provide AR effects that allow users to receive rewards by completing specific missions at destinations. For example, by completing quizzes or challenges at specific locations. This allows for the provision of game elements that allow users to receive rewards by completing specific missions at destinations.

[0050] Generative AI can analyze social media activity in real time and provide information that reflects the user's latest interests. For example, it can provide information about events and places that the user has recently taken an interest in. Generative AI can also analyze social media posts in real time and provide information that reflects the user's latest interests. For example, it can provide information about spots based on photos and comments shared by the user. Generative AI can also analyze the user's social media activity in real time and provide information that reflects the latest trends and interests. For example, it can provide information about the latest events based on information about accounts the user follows. This makes it possible to provide information that reflects the user's latest interests in real time.

[0051] The generation AI can analyze location information in real time and suggest optimal routes. For example, it can provide the most efficient route from the current location to visit tourist spots. The generation AI can also suggest optimal routes in real time based on the user's location information. For example, it can provide routes that take traffic conditions and congestion into account. The generation AI can also analyze location information in real time and dynamically adjust the optimal route according to the user's movements. For example, it can suggest a new route if the user stops at an unplanned location. This makes it possible to suggest optimal routes in real time based on the user's location information.

[0052] The processing flow of the first embodiment will be briefly explained below.

[0053] Step 1: The generation AI analyzes the user's interests, past visit history, and current situation to generate the optimal tour plan. For example, if the user is a fan of a particular anime or drama, it will suggest a tour that takes in spots related to that work. It can also avoid previously visited spots and suggest new spots based on the user's visit history. It also generates the optimal tour plan by taking into account the user's current situation (for example, weather and traffic conditions). Step 2: AR technology can enhance the on-site experience. For example, characters from anime or TV dramas can appear on smartphones or tablets. AR technology can also be used to provide information about the history and culture of the area, deepening visitors' understanding. Step 3: The customization department customizes tour plans according to the individual or group's circumstances. For example, for families, it will suggest plans that include activities for children, and for groups of friends, it will suggest activities that can be enjoyed together. Step 4: The real-time information provider provides real-time information, such as adjusting tour plans based on weather and traffic conditions and suggesting optimal routes. It also provides information on local events and special offers to enhance the visitor experience. Step 5: The feedback collection unit collects feedback from users. For example, if a user particularly likes a particular spot, the system can adjust the next tour plan based on that information. This allows the system to provide optimal tours tailored to the individual or group's circumstances, creating a sightseeing experience that can be enjoyed again and again.

[0054] (Example 2) The UTour system according to an embodiment of the present invention is a system in which a generation AI analyzes a user's interests, past visit history, and current situation to generate an optimal tour plan, AR technology enhances the on-site experience, a customization unit customizes the tour plan according to the situation of an individual or group, a real-time information provision unit provides information in real time, and a feedback collection unit collects feedback from users. As a result, the UTour system can provide optimal tours according to the situation of an individual or group, realizing a tourist experience that can be enjoyed over and over again.

[0055] The UTour system according to the embodiment includes a generation AI, AR technology, a customization unit, a real-time information provision unit, and a feedback collection unit. The generation AI analyzes a user's interests, past visit history, and current situation to generate an optimal tour plan. For example, if the user is a fan of a particular anime or drama, the generation AI may suggest a tour that visits spots related to that work. The generation AI may also avoid previously visited spots and suggest new spots based on the user's visit history. Furthermore, the generation AI may generate an optimal tour plan taking into account the user's current situation (e.g., weather and traffic conditions). AR technology enhances the on-site experience. For example, it may make anime or drama characters appear on a smartphone or tablet. Furthermore, AR technology may be used to provide information about the history and culture of the local area, deepening visitors' understanding. The customization unit customizes the tour plan according to the individual or group situation. For example, it may suggest a plan that includes activities for children for a family, or suggest activities that can be enjoyed together for a group of friends. The real-time information provision unit provides real-time information. For example, it may adjust the tour plan according to weather and traffic conditions and suggest the optimal route. The system also enhances the visitor experience by providing information on local events and special offers. The feedback collection unit collects feedback from users. For example, if a user particularly likes a particular spot, the system can adjust the next tour plan based on that information. This allows the UTour system to provide optimal tours tailored to the circumstances of individuals and groups, creating a tourist experience that can be enjoyed again and again.

[0056] The generation AI can analyze emotional data and dynamically adjust the tour plan according to emotional fluctuations. For example, the generation AI analyzes the user's emotional data in real time and dynamically adjusts the tour plan according to emotional fluctuations. For example, if the user is tired, it adds relaxing spots. The generation AI also suggests activities according to emotional fluctuations based on the user's emotional data. For example, if the user is excited, it adds active activities. The generation AI also analyzes emotional data and customizes the tour plan according to the user's emotional state. For example, if the user is feeling down, it suggests spots that will lift their spirits. This makes it possible to dynamically adjust the tour plan according to the user's emotions.

[0057] Generative AI can analyze social media activity and generate tour plans that reflect the user's latest interests. For example, generative AI can analyze a user's social media activity and generate tour plans that reflect the user's latest interests. For example, it can incorporate events and places that the user has recently taken an interest in into the tour. Generative AI can also analyze social media posts and suggest tour plans that reflect the user's latest interests. For example, it can select spots based on photos and comments shared by the user. Generative AI can also analyze a user's social media activity in real time and generate tour plans that reflect the latest trends and interests. For example, it can customize the tour based on information from accounts the user follows. This makes it possible to generate tour plans that reflect the user's latest interests.

[0058] The generation AI can analyze past travel data and optimize the next tour plan based on the satisfaction level of the visited destinations. For example, the generation AI can analyze the user's past travel data and optimize the next tour plan based on the satisfaction level of the visited destinations. For example, it can propose a plan to revisit spots that the user has given a high rating. The generation AI can also generate tour plans that include activities that the user was particularly satisfied with based on the past travel data. For example, it can re-incorporate activities that the user enjoyed. The generation AI can also analyze the user's past travel data and optimize the next tour plan centered on spots that gave high satisfaction. For example, it can propose a plan to revisit restaurants and tourist attractions that the user has given a high rating. This makes it possible to optimize the next tour plan based on the user's past travel data.

[0059] Generative AI can generate tour plans that cater to users of different languages ​​and cultural backgrounds, thereby meeting international tourism demand. For example, generative AI generates tour plans that cater to users of different languages ​​and cultural backgrounds. For example, it provides guides and explanations in the languages ​​of each country. Generative AI can also generate tour plans that take cultural backgrounds and customs into account to accommodate users of different cultural backgrounds. For example, it can avoid spots that require religious considerations. Generative AI can also provide tour plans that cater to users of different languages ​​and cultural backgrounds to meet international tourism demand. For example, it can provide apps and guides that support multiple languages. This allows generative AI to generate tour plans that cater to users of different languages ​​and cultural backgrounds, thereby meeting international tourism demand.

[0060] The generation AI can analyze health data and propose a reasonable tour plan based on the user's physical condition. For example, the generation AI can analyze the user's health data and propose a reasonable tour plan based on the user's physical condition. For example, it can provide a plan that takes walking distance and rest time into consideration. The generation AI can also propose activities based on the user's health data that suit the user's physical condition. For example, it can suggest lighter activities for users who are not confident in their physical strength. The generation AI can also analyze health data and customize a tour plan based on the user's physical condition. For example, it can adjust the meal contents and rest spots based on the user's health condition. This makes it possible to propose a reasonable tour plan based on the user's health data.

[0061] The generation AI can use the emotion estimation function to generate a tour plan that includes activities that the user will enjoy most. The generation AI, for example, uses the emotion estimation function to generate a tour plan that includes activities that the user will enjoy most. For example, it selects activities based on the user's emotion score. The generation AI also analyzes the user's emotion data to suggest the most enjoyable activities. For example, it prioritizes incorporating activities that evoke strong positive emotions. The generation AI also uses the emotion estimation function to customize a tour plan that includes activities that the user will enjoy most. For example, it constructs a plan centered around activities with high emotion scores. This makes it possible to generate a tour plan that includes activities that the user will enjoy most.

[0062] AR technology can change the reactions and presentation of a character in real time according to the user's emotions. AR technology, for example, changes the reactions and presentation of a character in real time according to the user's emotions. For example, if the user is happy, the character will congratulate the user. AR technology also dynamically changes the reactions of an AR character based on the user's emotional data. For example, if the user is surprised, the character will appear surprised. AR technology also analyzes the emotional data and provides AR presentations according to the user's emotions. For example, if the user is sad, the character will appear to encourage the user. This makes it possible to change the reactions and presentation of a character in real time according to the user's emotions.

[0063] AR technology can provide a time travel function that allows users to experience past events at a specific spot. AR technology provides a time travel function that allows users to experience past events at a specific spot, for example, by recreating historical events. AR technology also visually recreates past events when a user arrives at a specific spot, for example, by displaying buildings and scenery from the past. AR technology also uses the time travel function to provide AR effects that allow users to experience past events, for example, by recreating people and events from the past. This allows a time travel function to be provided that allows users to experience past events at a specific spot.

[0064] AR technology can add social functions that allow users to interact with other visitors in a virtual space. AR technology adds social functions that allow users to interact with other visitors in a virtual space, for example, by providing chat and avatar interaction in the virtual space. AR technology also provides social functions that allow users to interact with other visitors in real time through AR technology, for example, by suggesting joint activities in the virtual space. AR technology also provides AR effects that allow users to interact with other visitors in the virtual space using the social functions, for example, by providing events and games in the virtual space. This makes it possible to provide social functions that allow users to interact with other visitors in the virtual space.

[0065] AR technology can add a game element that allows a user to receive a reward by completing a specific mission at a destination. AR technology adds a game element that allows a user to receive a reward by completing a specific mission at a destination. For example, by visiting a specific spot, a digital item can be obtained. AR technology also provides an AR game in which a user can receive a reward by completing a mission at a destination. For example, points can be earned by completing a specific activity. AR technology also uses a game element to provide an AR effect in which a user can receive a reward by completing a specific mission at a destination. For example, by completing a quiz or challenge at a specific location. This makes it possible to provide a game element in which a user can receive a reward by completing a specific mission at a destination.

[0066] AR technology can use an emotion estimation function to provide an AR effect that recreates the scene that moves the user the most. For example, AR technology uses the emotion estimation function to provide an AR effect that recreates the scene that moves the user the most. For example, it selects a moving scene based on the user's emotion score. AR technology also analyzes the user's emotion data to provide an AR effect that recreates the most moving scene. For example, it prioritizes recreating scenes with strong positive emotions. AR technology also uses the emotion estimation function to customize an AR effect that recreates the scene that moves the user the most. For example, it creates a rendition centered on scenes with high emotion scores. This makes it possible to provide an AR effect that recreates the scene that moves the user the most.

[0067] The generation AI can analyze emotional data in real time and dynamically adjust the tour plan according to emotional fluctuations. The generation AI can, for example, analyze emotional data in real time and dynamically adjust the tour plan according to emotional fluctuations. For example, if the user is tired, it can add relaxing spots. The generation AI can also suggest activities according to emotional fluctuations based on the user's emotional data. For example, if the user is excited, it can add active activities. The generation AI can also analyze emotional data and customize the tour plan according to the user's emotional state. For example, if the user is feeling down, it can suggest spots that will lift their spirits. This makes it possible to dynamically adjust the tour plan in real time according to the user's emotions.

[0068] Generative AI can analyze social media activity in real time and provide information that reflects the user's latest interests. For example, generative AI can analyze social media activity in real time and provide information that reflects the user's latest interests. For example, it can provide information about events and places that the user has recently taken an interest in. Generative AI can also analyze social media posts in real time and provide information that reflects the user's latest interests. For example, it can provide information about spots based on photos and comments shared by the user. Generative AI can also analyze the user's social media activity in real time and provide information that reflects the latest trends and interests. For example, it can provide information about the latest events based on information about accounts the user follows. This makes it possible to provide information that reflects the user's latest interests in real time.

[0069] The generation AI can analyze health data in real time and provide reasonable information based on the user's physical condition. The generation AI can, for example, analyze health data in real time and provide reasonable information based on the user's physical condition. For example, it can provide information that takes walking distance and rest time into consideration. The generation AI can also provide activity information based on the user's physical condition based on the user's health data. For example, it can provide lighter activity information for users who are not confident in their physical strength. The generation AI can also analyze health data in real time and customize information based on the user's physical condition. For example, it can provide information on meal contents and rest spots based on the user's health condition. This makes it possible to provide reasonable information based on the user's health data in real time.

[0070] Generative AI can provide information tailored to users of different languages ​​and cultural backgrounds in real time, thereby meeting international tourism demand. Generative AI can, for example, provide information tailored to users of different languages ​​and cultural backgrounds in real time. For example, it can provide guides and explanations tailored to each country's language in real time. Generative AI can also provide information that takes cultural backgrounds and customs into account in real time to meet users of different cultural backgrounds. For example, it can provide information on spots that require religious considerations. Generative AI can also provide information tailored to users of different languages ​​and cultural backgrounds in real time to meet international tourism demand. For example, it can provide multilingual apps and guides in real time. This allows information tailored to users of different languages ​​and cultural backgrounds to be provided in real time, thereby meeting international tourism demand.

[0071] The generation AI can analyze location information in real time and suggest the optimal route. For example, the generation AI can analyze location information in real time and suggest the optimal route. For example, it can provide the most efficient route to visit tourist spots from the current location. The generation AI can also suggest the optimal route in real time based on the user's location information. For example, it can provide a route that takes traffic conditions and congestion into consideration. The generation AI can also analyze location information in real time and dynamically adjust the optimal route according to the user's movement. For example, it can suggest a new route if the user stops at an unplanned location. This makes it possible to suggest the optimal route in real time based on the user's location information.

[0072] The generation AI can use the emotion estimation function to provide information including the activities that the user will enjoy most in real time. The generation AI, for example, uses the emotion estimation function to provide information including the activities that the user will enjoy most in real time. For example, it selects activity information based on the user's emotion score. The generation AI also analyzes the user's emotion data and provides the most enjoyable activity information in real time. For example, it prioritizes providing activity information with strong positive emotions. The generation AI also uses the emotion estimation function to customize the activity information that the user will enjoy most in real time. For example, it mainly provides activity information with high emotion scores. This makes it possible to provide information including the activities that the user will enjoy most in real time.

[0073] The generation AI can analyze emotional data and dynamically adjust the next tour plan according to emotional fluctuations. The generation AI, for example, analyzes emotional data and dynamically adjusts the next tour plan according to emotional fluctuations. For example, if the user is tired, it adds relaxing spots. The generation AI also suggests activities according to emotional fluctuations based on the user's emotional data. For example, if the user is excited, it adds active activities. The generation AI also analyzes emotional data and customizes the next tour plan according to the user's emotional state. For example, if the user is feeling down, it suggests spots that will lift their spirits. This makes it possible to dynamically adjust the next tour plan according to the user's emotions.

[0074] The generative AI can analyze social media activity and collect feedback that reflects the user's latest interests and concerns. For example, the generative AI analyzes social media activity and collects feedback that reflects the user's latest interests and concerns. For example, it collects feedback on events and places that the user has recently taken an interest in. The generative AI also analyzes the content of social media posts and collects feedback that reflects the user's latest interests and concerns. For example, it collects feedback based on photos and comments shared by the user. The generative AI also analyzes the user's social media activity in real time and collects feedback that reflects the latest trends and concerns. For example, it collects feedback based on information about accounts that the user follows. This makes it possible to collect feedback that reflects the user's latest interests and concerns.

[0075] The generation AI can analyze past travel data and optimize the next tour plan based on the satisfaction level of the visited destinations. For example, the generation AI can analyze the user's past travel data and optimize the next tour plan based on the satisfaction level of the visited destinations. For example, it can propose a plan to revisit spots that the user has given a high rating. The generation AI can also generate tour plans that include activities that the user was particularly satisfied with based on the past travel data. For example, it can re-incorporate activities that the user enjoyed. The generation AI can also analyze the user's past travel data and optimize the next tour plan centered on spots that gave high satisfaction. For example, it can propose a plan to revisit restaurants and tourist attractions that the user has given a high rating. This makes it possible to optimize the next tour plan based on the user's past travel data.

[0076] The generation AI can analyze health data and collect reasonable feedback based on the user's physical condition. For example, the generation AI analyzes the user's health data and collects reasonable feedback based on the user's physical condition. For example, it collects feedback that takes walking distance and rest time into consideration. The generation AI also collects activity feedback based on the user's health data and the user's physical condition. For example, it collects feedback on lighter activities for users who are not confident in their physical strength. The generation AI also analyzes health data and customizes feedback based on the user's physical condition. For example, it collects feedback on meal contents and rest spots based on the user's health condition. This makes it possible to collect reasonable feedback based on the user's health data.

[0077] The generation AI can use the emotion estimation function to collect feedback including the activities that the user enjoys most. For example, the generation AI uses the emotion estimation function to collect feedback including the activities that the user enjoys most. For example, it collects activity feedback based on the user's emotion score. The generation AI also analyzes the user's emotion data to collect feedback for the activities that the user enjoys most. For example, it prioritizes collecting feedback for activities with strong positive emotions. The generation AI also uses the emotion estimation function to customize feedback for the activities that the user enjoys most. For example, it mainly collects feedback for activities with high emotion scores. This makes it possible to collect feedback including the activities that the user enjoys most.

[0078] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0079] The generation AI can analyze the user's health data and propose a reasonable tour plan based on their physical condition. For example, it can provide a plan that takes walking distance and rest times into consideration. The generation AI can also suggest activities based on the user's health data that suit their physical condition. For example, it can suggest lighter activities for users who are not confident in their physical strength. The generation AI can also analyze the health data and customize a tour plan based on the user's physical condition. For example, it can adjust meal contents and rest spots based on the user's health condition. This makes it possible to propose a reasonable tour plan based on the user's health data.

[0080] Generative AI can generate tour plans that cater to users of different languages ​​and cultural backgrounds, meeting international tourism demand. For example, it can provide guides and explanations in each country's language. Generative AI can also generate tour plans that take cultural backgrounds and customs into account to accommodate users of different cultural backgrounds. For example, it can avoid spots that require religious considerations. Generative AI can also provide tour plans that cater to users of different languages ​​and cultural backgrounds to meet international tourism demand. For example, it can provide apps and guides that support multiple languages. This allows it to generate tour plans that cater to users of different languages ​​and cultural backgrounds, meeting international tourism demand.

[0081] The generation AI can use the emotion estimation function to generate a tour plan that includes activities that the user will enjoy most. For example, it selects activities based on the user's emotion score. The generation AI also analyzes the user's emotion data and suggests the most enjoyable activities. For example, it prioritizes incorporating activities that evoke strong positive emotions. The generation AI also uses the emotion estimation function to customize a tour plan that includes the activities that the user will enjoy most. For example, it constructs a plan centered around activities with high emotion scores. This makes it possible to generate a tour plan that includes the activities that the user will enjoy most.

[0082] AR technology can change the character's reactions and presentation in real time according to the user's emotions. For example, if the user is happy, the character will congratulate them. AR technology can also dynamically change the AR character's reactions based on the user's emotional data. For example, if the user is surprised, the character will appear surprised. AR technology can also analyze the emotional data and provide AR presentations according to the user's emotions. For example, if the user is sad, the character will appear to encourage them. This makes it possible to change the character's reactions and presentation in real time according to the user's emotions.

[0083] AR technology can provide a time travel function that allows users to experience past events at a specific spot. For example, historical events can be recreated. AR technology can also visually recreate past events when a user arrives at a specific spot. For example, past buildings and scenery can be displayed. AR technology can also use the time travel function to provide AR effects that allow users to experience past events. For example, past people and events can be recreated. This allows a time travel function to be provided that allows users to experience past events at a specific spot.

[0084] AR technology can add social functions that allow users to interact with other visitors in virtual spaces. For example, it can provide chat and avatar interaction in virtual spaces. AR technology also provides social functions that allow users to interact with other visitors in real time through AR technology. For example, it can suggest joint activities in virtual spaces. AR technology also uses social functions to provide AR effects that allow users to interact with other visitors in virtual spaces. For example, it can provide events and games in virtual spaces. This can provide social functions that allow users to interact with other visitors in virtual spaces.

[0085] AR technology can add game elements that allow users to receive rewards by completing specific missions at destinations. For example, by visiting specific spots, users can obtain digital items. AR technology can also provide AR games that allow users to receive rewards by completing missions at destinations. For example, by completing specific activities. AR technology can also use game elements to provide AR effects that allow users to receive rewards by completing specific missions at destinations. For example, by completing quizzes or challenges at specific locations. This allows for the provision of game elements that allow users to receive rewards by completing specific missions at destinations.

[0086] The generation AI can analyze emotional data in real time and dynamically adjust the tour plan according to emotional fluctuations. For example, if the user is tired, it will add relaxing spots. The generation AI also suggests activities based on the user's emotional data in accordance with emotional fluctuations. For example, if the user is excited, it will add active activities. The generation AI also analyzes emotional data and customizes the tour plan according to the user's emotional state. For example, if the user is feeling down, it will suggest spots that will lift their spirits. This makes it possible to dynamically adjust the tour plan in real time according to the user's emotions.

[0087] Generative AI can analyze social media activity in real time and provide information that reflects the user's latest interests. For example, it can provide information about events and places that the user has recently taken an interest in. Generative AI can also analyze social media posts in real time and provide information that reflects the user's latest interests. For example, it can provide information about spots based on photos and comments shared by the user. Generative AI can also analyze the user's social media activity in real time and provide information that reflects the latest trends and interests. For example, it can provide information about the latest events based on information about accounts the user follows. This makes it possible to provide information that reflects the user's latest interests in real time.

[0088] The generation AI can analyze location information in real time and suggest optimal routes. For example, it can provide the most efficient route from the current location to visit tourist spots. The generation AI can also suggest optimal routes in real time based on the user's location information. For example, it can provide routes that take traffic conditions and congestion into account. The generation AI can also analyze location information in real time and dynamically adjust the optimal route according to the user's movements. For example, it can suggest a new route if the user stops at an unplanned location. This makes it possible to suggest optimal routes in real time based on the user's location information.

[0089] The processing flow of the second embodiment will be briefly explained below.

[0090] Step 1: The generation AI analyzes the user's interests, past visit history, and current situation to generate the optimal tour plan. For example, if the user is a fan of a particular anime or drama, it will suggest a tour that takes in spots related to that work. It can also avoid previously visited spots and suggest new spots based on the user's visit history. It also generates the optimal tour plan by taking into account the user's current situation (for example, weather and traffic conditions). Step 2: AR technology can enhance the on-site experience. For example, characters from anime or TV dramas can appear on smartphones or tablets. AR technology can also be used to provide information about the history and culture of the area, deepening visitors' understanding. Step 3: The customization department customizes tour plans according to the individual or group's circumstances. For example, for families, it will suggest plans that include activities for children, and for groups of friends, it will suggest activities that can be enjoyed together. Step 4: The real-time information provider provides real-time information, such as adjusting tour plans based on weather and traffic conditions and suggesting optimal routes. It also provides information on local events and special offers to enhance the visitor experience. Step 5: The feedback collection unit collects feedback from users. For example, if a user particularly likes a particular spot, the system can adjust the next tour plan based on that information. This allows the system to provide optimal tours tailored to the individual or group's circumstances, creating a sightseeing experience that can be enjoyed again and again.

[0091] 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.

[0092] 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.

[0093] 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.

[0094] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0095] 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.

[0096] 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.

[0097] 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.

[0098] 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.

[0099] 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).

[0100] 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.

[0101] 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.

[0102] 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.

[0103] 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.

[0104] 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.

[0105] 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.

[0106] 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.

[0107] 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.

[0108] 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.

[0109] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0110] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0111] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0112] The 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.

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

[0114] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0115] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0116] Fig. 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.

[0117] The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0118] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate 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.

[0119] 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.

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

[0121] The specific processing unit 290 transmits the result of the specific processing to the 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.

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

[0123] The data processing system 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.

[0124] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0125] 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.

[0126] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0127] The 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.

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

[0129] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS 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).

[0130] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0131] 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.

[0132] 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.

[0133] 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.

[0134] 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.

[0135] 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.

[0136] 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.

[0137] 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.

[0138] 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.

[0139] 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.

[0140] 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.

[0141] 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.

[0142] 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.

[0143] 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).

[0144] 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.

[0145] 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."

[0146] 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.

[0147] 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.

[0148] 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.

[0149] 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.

[0150] 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.

[0151] 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.

[0152] 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.

[0153] 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.

[0154] 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.

[0155] 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.

[0156] 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.

[0157] 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]

[0158] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot

Claims

1. Generative AI and AR technology and Customization department and A real-time information providing department; a feedback collection unit, The generated AI is Analyzes the user's interests, past visit history, and current situation to generate the optimal tour plan. The AR technology is Enhance your local experience, The customization unit We customize tour plans according to the circumstances of individuals and groups, The real-time information providing unit Providing real-time information, The feedback collection unit: Gather user feedback A system characterized by:

2. The generated AI is Analyzing emotional data and dynamically adjusting the tour plan according to emotional fluctuations 2. The system of claim 1.

3. The generated AI is Analyzing social media activity to generate tour plans that reflect current interests 2. The system of claim 1.

4. The generated AI is Analyzing the past travel data and optimizing the next tour plan based on satisfaction with the destinations visited 2. The system of claim 1.

5. The generated AI is Generate tour plans that cater to users of different languages ​​and cultural backgrounds, and meet international tourism demand.

2. The system of claim 1.

6. The generated AI is Analyze your health data and propose a reasonable tour plan based on your physical condition.

2. The system of claim 1.

7. The generated AI is Generate the tour plan that includes the activities that the user will most enjoy 2. The system of claim 1.

8. The AR technology is Changing the character's reactions and performances in real time according to the user's emotions 2. The system of claim 1.

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