System

Abstract

An object of a system according to an embodiment is to enable even a physically handicapped person to experience a travel.SOLUTION: A system includes a plan creation part, a travel creation part, and a provision part. The plan creation part inputs a place where the user wants to go or a scene that the user wants to see. The travel creation part generates a moving image on the basis of the travel plan created by the plan creation part. The provision section provides the user with the video generated by the trip creation section.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] Conventional technology has had the problem of making it difficult for people with physical disabilities to experience travel.

[0005] The system according to the embodiment aims to enable people with physical disabilities to experience travel. [Means for solving the problem]

[0006] The system according to the embodiment includes a plan creation unit, a trip creation unit, and a providing unit. The plan creation unit inputs the user's desired places to go or scenery to see. The trip creation unit generates a video based on the travel plan created by the plan creation unit. The providing unit provides the user with the video created by the trip creation unit. [Effects of the Invention]

[0007] The system according to the embodiment can enable people with disabilities to experience travel. [Brief explanation of the drawings]

[0008] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. DETAILED DESCRIPTION OF THE INVENTION

[0009] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

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

[0011] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, the processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), or a TPU (Tensor Processing Unit).

[0012] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0013] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0014] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), and Bluetooth (registered trademark).

[0015] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

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

[0017] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0018] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0019] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0020] The reception device 38 includes a touch panel 38A and a microphone 38B, and receives user input. The touch panel 38A detects contact with a pointer (for example, a pen or a finger) to receive user input by the touch of the pointer. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 (see FIG. 2) acquires the data indicating the user input.

[0021] Output device 40 includes a display 40A and a speaker 40B, and presents data to a user by outputting the data in a form of expression that the user can perceive (e.g., audio and / or text). Display 40A displays visible information such as text and images in accordance with instructions from processor 46. Speaker 40B outputs audio in accordance with instructions from processor 46. Camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0022] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

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

[0024] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0025] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

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

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

[0028] (Example 1) In the travel experience system according to an embodiment of the present invention, a user inputs the places they want to go and the scenery they want to see, a generation AI creates a travel plan, and a video generation AI generates a video of the travel experience. This allows the travel experience system to provide a realistic travel experience to people with disabilities who find it difficult to travel.

[0029] A travel experience system according to an embodiment includes a plan creation unit, a trip creation unit, and a providing unit. The plan creation unit inputs the user's desired places and scenery. For example, the user may input preferences such as "I want to see the Eiffel Tower in Paris" or "I want to relax on a beach in Hawaii." The plan creation unit analyzes the user's input and creates a specific travel plan using a generation AI. For example, the generation AI creates a travel plan based on the user's input and suggests places to visit and activities. The trip creation unit generates a video based on the travel plan created by the plan creation unit. For example, the video generation AI generates a travel video including footage of the Eiffel Tower based on the generated travel plan. The video generation AI can also generate a video including specific tourist spots and activities according to the user's preferences. The providing unit provides the user with the video generated by the trip creation unit. For example, the providing unit streams the generated travel video to the user's device. The providing unit can also provide the user with an immersive travel experience using a VR headset. This allows the travel experience system according to an embodiment to provide a realistic travel experience to people with physical disabilities who have difficulty traveling. For example, users can visit tourist spots around the world from the comfort of their own home, enjoying the joys of travel. Furthermore, by utilizing customization and interactive features, a more personalized travel experience can be provided.

[0030] The plan creation unit can learn the user's past travel history and preferences and propose more personalized travel plans. For example, the plan creation unit uses a generation AI to analyze the user's past travel history and learn the user's preferences based on data on places visited and activities participated in. For example, if a user has previously enjoyed beach resorts, the plan creation unit proposes a new beach resort plan. The plan creation unit also learns the user's preferences and proposes travel plans that include the user's favorite tourist spots and activities. For example, if the user likes historical buildings, the plan creation unit proposes a plan that includes historical tourist spots. The plan creation unit also proposes the optimal travel plan for the user based on the user's past travel history and preferences. For example, the plan creation unit proposes a travel plan that suits the user based on data on places the user has previously visited and activities the user has participated in. This makes it possible to provide travel plans that meet the user's preferences.

[0031] The plan creation unit can propose a reasonable travel plan based on the user's health condition and physical condition. For example, the generation AI in the plan creation unit analyzes the user's health data (e.g., data from a pedometer or heart rate monitor) and proposes a travel plan that suits their physical condition. For example, a plan with less movement is proposed for a user with declining physical strength. The plan creation unit also analyzes the user's health condition based on medical data and self-reporting and proposes a reasonable travel plan. For example, if the user has a specific health problem, it proposes a plan that takes that problem into consideration. The plan creation unit also analyzes the user's health condition and physical condition based on data from a wearable device and proposes a reasonable travel plan. For example, it proposes a plan that includes appropriate activities based on the user's heart rate and step count data. This makes it possible to provide a travel plan that suits the user's health condition.

[0032] The plan creation unit can create a group travel plan based on the preferences of the user's friends and family. For example, the plan creation unit uses a generation AI to analyze the travel history and preferences of the user's friends and family and propose a group travel plan that everyone can enjoy. For example, a plan is created that includes a theme park that the whole family can enjoy. The plan creation unit also analyzes the preferences of the user's friends and family based on survey results and social media data and proposes a group travel plan. For example, a plan is created that includes activities that all friends can enjoy. The plan creation unit also analyzes the preferences of the user's friends and family based on past travel history and proposes a group travel plan. For example, a plan is created that includes tourist spots that the whole family can enjoy. This makes it possible to provide group travel plans that suit the preferences of the user's friends and family.

[0033] The plan creation unit can propose travel plans based on different seasons and time periods, allowing users to enjoy the charms of each season. For example, the generation AI analyzes tourist spots and event information for each season and proposes the most suitable travel plan to the user. For example, in spring, the plan creation unit proposes a plan that includes famous cherry blossom viewing spots. The plan creation unit also proposes tourist spots and activities according to different seasons and time periods. For example, in summer, the plan creation unit proposes a plan that includes beach resorts. The plan creation unit also proposes the most suitable travel plan to the user so that users can enjoy the charms of each season. For example, in autumn, the plan creation unit proposes a plan that includes famous autumn foliage viewing spots. This makes it possible to provide travel plans that allow users to enjoy the charms of each season.

[0034] The travel creation unit can automatically add music and narration according to the user's preferences to generate more appealing travel videos. For example, the video generation AI of the travel creation unit analyzes the user's musical preferences and automatically adds music that is best suited to the travel video. For example, it selects music with a relaxing atmosphere. The travel creation unit also adds narration according to the user's preferences to generate the travel video. For example, it adds narration in the user's preferred tone of voice and language. The travel creation unit also automatically adds music and narration according to the user's preferences to generate the travel video. For example, it adds music from the user's favorite genre to generate the travel video. In this way, by adding music and narration according to the user's preferences, it is possible to provide more appealing travel videos.

[0035] The trip creation unit generates footage from different viewpoints, allowing the user to experience travel from a variety of perspectives. For example, the video generation AI in the trip creation unit generates footage from a bird's-eye view, allowing the user to experience travel from a wide field of view. For example, it can provide a panoramic view of the entire city. The trip creation unit can also generate footage from a first-person perspective, allowing the user to experience travel with a sense of realism. For example, it can provide footage that makes the user feel as if they are walking through a tourist spot. The trip creation unit can also generate footage from a drone's perspective, allowing the user to experience travel from a new perspective. For example, it can provide a view from the sky. This allows the user to experience travel from a variety of perspectives.

[0036] The travel creation unit can add filters and effects according to the user's preferences to customize the atmosphere of the video. For example, the video generation AI in the travel creation unit adds filters according to the user's preferences to customize the atmosphere of the video. For example, it applies a retro-style filter. The travel creation unit also adds effects according to the user's preferences to customize the atmosphere of the video. For example, it adds a vignette effect or motion blur. The travel creation unit also adds filters and effects according to the user's preferences to customize the atmosphere of the video. For example, it performs color correction and contrast adjustment. This allows the atmosphere of the video to be customized by adding filters and effects according to the user's preferences.

[0037] The providing unit can provide the user with a sense of realism as if they were actually in that place, using a VR headset. The providing unit, for example, uses a VR headset to provide the user with a sense of realism as if they were actually in that place. For example, the providing unit can provide an experience of walking around the Eiffel Tower. The providing unit also uses a VR headset to provide the user with a travel experience with a 360-degree field of view. For example, the user can freely view the surrounding scenery by moving their head. The providing unit also uses a VR headset to provide the user with an interactive travel experience. For example, when the user selects a specific location, detailed information about that location is displayed. In this way, the use of a VR headset can provide the user with a sense of realism as a travel experience.

[0038] The providing unit can provide a function that allows a user to communicate with other users in real time during a travel experience. The providing unit, for example, provides a function that allows a user to chat with other users in real time during a travel experience. For example, the user can share impressions with other users who are visiting the same tourist spot. The providing unit also provides a function that allows a user to make video calls with other users during a travel experience. For example, the user can enjoy a travel experience with friends or family. The providing unit also provides a function that allows a user to make voice calls with other users during a travel experience. For example, the user can share impressions and information about the trip in real time. This allows the user to communicate with other users in real time, thereby providing a more attractive travel experience.

[0039] The providing unit provides a travel experience using AR technology, allowing the user to enjoy an experience that blends the real world and the virtual world from the comfort of their own home. For example, the providing unit uses AR technology to superimpose information about tourist spots onto the real world while the user is at home. For example, it displays an image of the Eiffel Tower in the living room of the user's home. The providing unit also uses AR technology to allow the user to experience tourist spot activities while at home. For example, it provides an experience that makes the user feel as if they are relaxing on a beach in Hawaii from the comfort of their own home. The providing unit also uses AR technology to allow the user to learn about the history and culture of tourist spots while at home. For example, it displays information about buildings and ruins at tourist spots. In this way, the use of AR technology can provide the user with an experience that blends the real world and the virtual world.

[0040] The providing unit can provide an interactive map that allows the user to obtain detailed information about specific places and activities during the travel experience. The providing unit, for example, provides an interactive map, allowing the user to obtain detailed information about specific places and activities during the travel experience. For example, information about the history and culture of a tourist destination is displayed. The providing unit also provides an interactive map, and when the user selects a specific place, detailed information about the place is displayed. For example, highlights of the tourist destination and recommended activities are displayed. The providing unit also provides an interactive map, and when the user selects a specific activity, detailed information about the activity is displayed. For example, the content of the activity and how to participate are displayed. In this way, by providing an interactive map, the user can obtain detailed information during the travel experience.

[0041] The plan creation unit can learn the user's past customization history and suggest more appropriate customization options. In the plan creation unit, for example, a generation AI analyzes the user's past customization history and learns their preferences and tendencies. For example, it suggests optimal customization options based on tourist spots and activities selected in the past. The plan creation unit also suggests optimal customization options for the user based on the user's customization history. For example, it suggests customization options that suit the user based on options and settings selected in the past. The plan creation unit also analyzes the user's customization history and learns the user's preferences and tendencies. For example, it suggests optimal customization options based on tourist spots and activities selected in the past. In this way, by learning the user's past customization history, it is possible to provide more appropriate customization options.

[0042] The plan creation unit can propose reasonable customization options taking into account the user's health condition and physical condition. For example, the generation AI in the plan creation unit analyzes the user's health data (e.g., data from a pedometer or heart rate monitor) and proposes customization options according to their physical condition. For example, for a user with reduced physical strength, activities involving less movement are proposed. The plan creation unit also analyzes the user's health condition based on medical data or self-reporting and proposes reasonable customization options. For example, if the user has a specific health problem, options that take that problem into consideration are proposed. The plan creation unit also analyzes the user's health condition and physical condition based on data from a wearable device and proposes reasonable customization options. For example, options including appropriate activities are proposed based on the user's heart rate and step count data. This makes it possible to provide reasonable customization options according to the user's health condition.

[0043] The plan creation unit can also consider the preferences of the user's friends and family and suggest customized options for the group trip. For example, the plan creation unit uses a generation AI to analyze the travel history and preferences of the user's friends and family and suggest customized options for the group trip that everyone can enjoy. For example, it creates a plan that includes a theme park that the whole family can enjoy. The plan creation unit also analyzes the preferences of the user's friends and family based on survey results and SNS data and suggests customized options for the group trip. For example, it creates a plan that includes activities that all friends can enjoy. The plan creation unit also analyzes the preferences of the user's friends and family based on past travel history and suggests customized options for the group trip. For example, it creates a plan that includes tourist spots that the whole family can enjoy. This makes it possible to provide customized options for the group trip that suit the preferences of the user's friends and family.

[0044] The plan creation unit can suggest customization options according to different seasons and time periods, allowing users to enjoy the charms of each season. For example, the generation AI analyzes tourist spots and event information for each season, and suggests the most suitable customization options to the user. For example, in spring, the plan creation unit suggests a plan that includes famous cherry blossom viewing spots. The plan creation unit also suggests tourist spots and activities according to different seasons and time periods. For example, in summer, the plan creation unit suggests a plan that includes beach resorts. The plan creation unit also suggests the most suitable customization options to the user, allowing users to enjoy the charms of each season. For example, in autumn, the plan creation unit suggests a plan that includes famous autumn foliage viewing spots. This makes it possible to provide customization options that allow users to enjoy the charms of each season.

[0045] The providing unit uses the generation AI to provide detailed information in real time in response to a user's question, thereby maintaining the user's interest. For example, the generating AI provides detailed information in real time in response to a user's question. For example, if a user asks, "I want to know the history of this building," the providing unit provides the historical background of the building. The providing unit also uses the generation AI to provide detailed information in response to a user's question. For example, if a user asks, "What are the recommended activities in this place?" the providing unit provides recommended activities for that place. The providing unit also uses the generation AI to provide detailed information in real time in response to a user's question. For example, if a user asks, "What are the highlights of this tourist destination?" the providing unit provides the highlights of the tourist destination. In this way, detailed information can be provided in real time in response to a user's question, thereby maintaining the user's interest.

[0046] The providing unit can use the generation AI to learn the user's past question history and provide more appropriate information. For example, the providing unit uses the generation AI to analyze the user's past question history and learn their preferences and interests. For example, it provides new information related to questions asked in the past. The providing unit also uses the generation AI to provide the user with the most appropriate information based on the user's question history. For example, it provides information on tourist spots related to questions asked in the past. The providing unit also uses the generation AI to analyze the user's past question history and learn the user's preferences and interests. For example, it provides new information related to questions asked in the past. In this way, by learning the user's past question history, it is possible to provide more appropriate information.

[0047] The provision unit uses the generation AI to provide information in different languages, making it possible to accommodate international users. For example, the provision unit uses the generation AI to provide information in different languages, making it possible to accommodate international users. For example, information is provided in multiple languages, such as English, French, and Chinese. The provision unit also uses the generation AI to provide information according to the user's language setting. For example, information about tourist spots is provided in the language set by the user. The provision unit also uses the generation AI to provide information in different languages, making it possible to accommodate international users. For example, information is provided in multiple languages, such as English, French, and Chinese. In this way, by providing information in different languages, it is possible to accommodate international users.

[0048] The providing unit uses the generation AI to automatically suggest related information according to the user's interests, thereby broadening the user's knowledge. For example, the providing unit uses the generation AI to automatically suggest related information according to the user's interests. For example, if a user asks a question about a specific tourist destination, information on other tourist destinations related to that tourist destination is provided. The providing unit also uses the generation AI to suggest related information according to the user's interests. For example, if a user asks a question about a specific activity, information on other activities related to that activity is provided. The providing unit also uses the generation AI to automatically suggest related information according to the user's interests. For example, if a user asks a question about a specific tourist destination, information on other tourist destinations related to that tourist destination is provided. This makes it possible to broaden the user's knowledge by automatically suggesting related information according to the user's interests.

[0049] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0050] The plan creation unit can learn the user's past travel history and preferences and propose more personalized travel plans. For example, if a user has previously visited beach resorts, a plan for a new beach resort can be proposed. Also, if the user likes historical buildings, a plan including historical tourist spots can be proposed. Furthermore, the optimal travel plan for the user can be proposed based on the user's past travel history and preferences. This makes it possible to provide travel plans that meet the user's preferences.

[0051] The plan creation unit can propose reasonable travel plans based on the user's health condition and physical condition. For example, a plan with less travel can be proposed to a user with reduced physical strength. The plan creation unit can also analyze the user's health condition based on medical data and self-reporting to propose reasonable travel plans. Furthermore, the plan creation unit can analyze the user's health condition and physical condition based on data from a wearable device to propose reasonable travel plans. This makes it possible to provide travel plans that suit the user's health condition.

[0052] The plan creation unit can create a group travel plan based on the preferences of the user's friends and family. For example, it can create a plan that includes a theme park that the whole family can enjoy. It can also analyze the preferences of the user's friends and family based on survey results and social media data to propose group travel plans. It can also analyze the preferences of the user's friends and family based on past travel history to propose group travel plans. This makes it possible to provide group travel plans that suit the preferences of the user's friends and family.

[0053] The plan creation unit can propose travel plans based on different seasons and time periods, allowing users to enjoy the attractions of each season. For example, in spring, a plan including famous cherry blossom viewing spots can be proposed. In summer, a plan including beach resorts can be proposed. Furthermore, in autumn, a plan including famous autumn foliage viewing spots can be proposed. In this way, it is possible to provide travel plans that allow users to enjoy the attractions of each season.

[0054] The travel creation unit can automatically add music and narration according to the user's preferences to create a more appealing travel video. For example, music with a relaxing atmosphere can be selected. Also, narration according to the user's preferences can be added to create a travel video. Furthermore, music from a genre that the user likes can be added to create a travel video. In this way, by adding music and narration according to the user's preferences, a more appealing travel video can be provided.

[0055] The trip creation unit can generate images from different viewpoints to provide users with travel experiences from a variety of viewpoints. For example, it can generate images from a bird's-eye view to provide users with a travel experience with a wide field of view. It can also generate images from a first-person view to provide users with an immersive travel experience. It can also generate images from a drone's view to provide users with a travel experience from a new perspective. This allows users to experience travel from a variety of viewpoints.

[0056] The processing flow of the first embodiment will be briefly explained below.

[0057] Step 1: The plan creation unit inputs the places the user wants to go and the scenery they want to see. For example, a user can input their wishes such as "I want to see the Eiffel Tower in Paris" or "I want to relax on the beach in Hawaii." The plan creation unit uses a generation AI to analyze the user's input and create a specific travel plan. For example, the generation AI creates a travel plan based on the user's input and suggests places to visit and activities. Step 2: The trip creation unit generates a video based on the travel plan created by the plan creation unit. For example, the video generation AI generates a travel video including footage of the Eiffel Tower based on the generated travel plan. The video generation AI can also generate a video including specific tourist spots and activities according to the user's wishes. Step 3: The providing unit provides the video generated by the trip creation unit to the user. For example, the providing unit streams the generated trip video to the user's device. The providing unit can also provide the user with an immersive travel experience using a VR headset.

[0058] (Example 2) In the travel experience system according to an embodiment of the present invention, a user inputs the places they want to go and the scenery they want to see, a generation AI creates a travel plan, and a video generation AI generates a video of the travel experience. This allows the travel experience system to provide a realistic travel experience to people with disabilities who find it difficult to travel.

[0059] A travel experience system according to an embodiment includes a plan creation unit, a trip creation unit, and a providing unit. The plan creation unit inputs the user's desired places and scenery. For example, the user may input preferences such as "I want to see the Eiffel Tower in Paris" or "I want to relax on a beach in Hawaii." The plan creation unit analyzes the user's input and creates a specific travel plan using a generation AI. For example, the generation AI creates a travel plan based on the user's input and suggests places to visit and activities. The trip creation unit generates a video based on the travel plan created by the plan creation unit. For example, the video generation AI generates a travel video including footage of the Eiffel Tower based on the generated travel plan. The video generation AI can also generate a video including specific tourist spots and activities according to the user's preferences. The providing unit provides the user with the video generated by the trip creation unit. For example, the providing unit streams the generated travel video to the user's device. The providing unit can also provide the user with an immersive travel experience using a VR headset. This allows the travel experience system according to an embodiment to provide a realistic travel experience to people with physical disabilities who have difficulty traveling. For example, users can visit tourist spots around the world from the comfort of their own home, enjoying the joys of travel. Furthermore, by utilizing customization and interactive features, a more personalized travel experience can be provided.

[0060] The plan creation unit can learn the user's past travel history and preferences and propose more personalized travel plans. For example, the plan creation unit uses a generation AI to analyze the user's past travel history and learn the user's preferences based on data on places visited and activities participated in. For example, if a user has previously enjoyed beach resorts, the plan creation unit proposes a new beach resort plan. The plan creation unit also learns the user's preferences and proposes travel plans that include the user's favorite tourist spots and activities. For example, if the user likes historical buildings, the plan creation unit proposes a plan that includes historical tourist spots. The plan creation unit also proposes the optimal travel plan for the user based on the user's past travel history and preferences. For example, the plan creation unit proposes a travel plan that suits the user based on data on places the user has previously visited and activities the user has participated in. This makes it possible to provide travel plans that meet the user's preferences.

[0061] The plan creation unit can analyze the user's real-time emotional state and create a travel plan that corresponds to that emotion. For example, the plan creation unit uses a generation AI to analyze the user's real-time emotional state using facial expression recognition technology and propose a travel plan that corresponds to that emotion. For example, a relaxing plan is proposed for a user who is feeling stressed. The plan creation unit also analyzes the user's emotional state using voice analysis technology and proposes a travel plan that corresponds to that emotion. For example, if the user is excited, a plan that includes active activities is proposed. The plan creation unit also collects biometric data (heart rate and electrodermal activity) from a sensor to analyze the user's emotional state using an emotion estimation algorithm. For example, an emotion score is calculated based on heart rate fluctuations and a travel plan that corresponds to the emotion is proposed. This makes it possible to provide a travel plan that corresponds to the user's emotion.

[0062] The plan creation unit can propose a reasonable travel plan based on the user's health condition and physical condition. For example, the generation AI in the plan creation unit analyzes the user's health data (e.g., data from a pedometer or heart rate monitor) and proposes a travel plan that suits their physical condition. For example, a plan with less movement is proposed for a user with declining physical strength. The plan creation unit also analyzes the user's health condition based on medical data and self-reporting and proposes a reasonable travel plan. For example, if the user has a specific health problem, it proposes a plan that takes that problem into consideration. The plan creation unit also analyzes the user's health condition and physical condition based on data from a wearable device and proposes a reasonable travel plan. For example, it proposes a plan that includes appropriate activities based on the user's heart rate and step count data. This makes it possible to provide a travel plan that suits the user's health condition.

[0063] The plan creation unit can create a group travel plan based on the preferences of the user's friends and family. For example, the plan creation unit uses a generation AI to analyze the travel history and preferences of the user's friends and family and propose a group travel plan that everyone can enjoy. For example, a plan is created that includes a theme park that the whole family can enjoy. The plan creation unit also analyzes the preferences of the user's friends and family based on survey results and social media data and proposes a group travel plan. For example, a plan is created that includes activities that all friends can enjoy. The plan creation unit also analyzes the preferences of the user's friends and family based on past travel history and proposes a group travel plan. For example, a plan is created that includes tourist spots that the whole family can enjoy. This makes it possible to provide group travel plans that suit the preferences of the user's friends and family.

[0064] The plan creation unit can propose travel plans based on different seasons and time periods, allowing users to enjoy the charms of each season. For example, the generation AI analyzes tourist spots and event information for each season and proposes the most suitable travel plan to the user. For example, in spring, the plan creation unit proposes a plan that includes famous cherry blossom viewing spots. The plan creation unit also proposes tourist spots and activities according to different seasons and time periods. For example, in summer, the plan creation unit proposes a plan that includes beach resorts. The plan creation unit also proposes the most suitable travel plan to the user so that users can enjoy the charms of each season. For example, in autumn, the plan creation unit proposes a plan that includes famous autumn foliage viewing spots. This makes it possible to provide travel plans that allow users to enjoy the charms of each season.

[0065] The plan creation unit can use the emotion estimation function to analyze the emotions of the user when entering a travel plan in real time and propose a travel plan that elicits positive emotions. For example, the plan creation unit can use the emotion estimation function to analyze the emotions of the user when entering a travel plan in real time and propose a plan that elicits positive emotions. For example, if the user seems to be having fun, the plan creation unit proposes a plan that includes active activities. The plan creation unit also analyzes the user's emotional state using voice analysis technology and proposes a plan that elicits positive emotions. For example, if the user is relaxed, the plan creation unit proposes a plan that includes relaxing activities. The plan creation unit also collects biometric data (heart rate and electrodermal activity) of the user using a sensor and analyzes the user's emotional state using an emotion estimation algorithm. For example, the plan creation unit calculates an emotion score based on heart rate fluctuations and proposes a plan that elicits positive emotions. This makes it possible to provide a positive travel plan that matches the user's emotions.

[0066] The travel creation unit can automatically add music and narration according to the user's preferences to generate more appealing travel videos. For example, the video generation AI of the travel creation unit analyzes the user's musical preferences and automatically adds music that is best suited to the travel video. For example, it selects music with a relaxing atmosphere. The travel creation unit also adds narration according to the user's preferences to generate the travel video. For example, it adds narration in the user's preferred tone of voice and language. The travel creation unit also automatically adds music and narration according to the user's preferences to generate the travel video. For example, it adds music from the user's favorite genre to generate the travel video. In this way, by adding music and narration according to the user's preferences, it is possible to provide more appealing travel videos.

[0067] The travel creation unit can analyze the user's real-time emotional state and add visual effects according to that emotion. For example, the travel creation unit uses a video generation AI to analyze the user's real-time emotional state and add visual effects according to that emotion. For example, if the user is excited, dynamic visual effects are added. The travel creation unit also analyzes the user's emotional state using voice analysis technology and adds visual effects according to that emotion. For example, if the user is relaxed, calm visual effects are added. The travel creation unit also collects biometric data (heart rate and electrodermal activity) from a sensor and analyzes the user's emotional state using an emotion estimation algorithm. For example, an emotion score is calculated based on heart rate fluctuations, and visual effects according to that emotion are added. In this way, by adding visual effects according to the user's emotions, it is possible to provide a more attractive travel video.

[0068] The trip creation unit generates footage from different viewpoints, allowing the user to experience travel from a variety of perspectives. For example, the video generation AI in the trip creation unit generates footage from a bird's-eye view, allowing the user to experience travel from a wide field of view. For example, it can provide a panoramic view of the entire city. The trip creation unit can also generate footage from a first-person perspective, allowing the user to experience travel with a sense of realism. For example, it can provide footage that makes the user feel as if they are walking through a tourist spot. The trip creation unit can also generate footage from a drone's perspective, allowing the user to experience travel from a new perspective. For example, it can provide a view from the sky. This allows the user to experience travel from a variety of perspectives.

[0069] The travel creation unit can add filters and effects according to the user's preferences to customize the atmosphere of the video. For example, the video generation AI in the travel creation unit adds filters according to the user's preferences to customize the atmosphere of the video. For example, it applies a retro-style filter. The travel creation unit also adds effects according to the user's preferences to customize the atmosphere of the video. For example, it adds a vignette effect or motion blur. The travel creation unit also adds filters and effects according to the user's preferences to customize the atmosphere of the video. For example, it performs color correction and contrast adjustment. This allows the atmosphere of the video to be customized by adding filters and effects according to the user's preferences.

[0070] The travel creation unit can use the emotion estimation function to analyze the emotions of a user when watching a travel video in real time and add visual effects that elicit positive emotions. For example, the travel creation unit can use the emotion estimation function to analyze the emotions of a user when watching a travel video in real time and add visual effects that elicit positive emotions. For example, if the user is enjoying themselves, it adds cheerful visual effects. The travel creation unit can also analyze the user's emotional state using audio analysis technology and add visual effects that elicit positive emotions. For example, if the user is relaxed, it adds calm visual effects. The travel creation unit can also collect biometric data (heart rate and electrodermal activity) from a sensor and analyze the user's emotional state using an emotion estimation algorithm. For example, it can calculate an emotion score based on heart rate fluctuations and add visual effects that elicit positive emotions. In this way, by adding positive visual effects that correspond to the user's emotions, it is possible to provide a more appealing travel video.

[0071] The providing unit can provide the user with a sense of realism as if they were actually in that place, using a VR headset. The providing unit, for example, uses a VR headset to provide the user with a sense of realism as if they were actually in that place. For example, the providing unit can provide an experience of walking around the Eiffel Tower. The providing unit also uses a VR headset to provide the user with a travel experience with a 360-degree field of view. For example, the user can freely view the surrounding scenery by moving their head. The providing unit also uses a VR headset to provide the user with an interactive travel experience. For example, when the user selects a specific location, detailed information about that location is displayed. In this way, the use of a VR headset can provide the user with a sense of realism as a travel experience.

[0072] The providing unit can monitor the user's emotional state in real time during the travel experience and provide additional information and images according to the emotion. For example, the providing unit monitors the user's emotional state in real time and provides additional information according to the emotion. For example, if the user is excited, it provides information about active activities. The providing unit can also monitor the user's emotional state using voice analysis technology and provide images according to the emotion. For example, if the user is relaxed, it provides calm images. The providing unit can also collect biometric data (heart rate and electrodermal activity) from a sensor and analyze the user's emotional state using an emotion estimation algorithm. For example, it can calculate an emotion score based on heart rate fluctuations and provide additional information and images according to the emotion. This makes it possible to provide a more attractive travel experience by providing additional information and images according to the user's emotion.

[0073] The providing unit can provide a function that allows a user to communicate with other users in real time during a travel experience. The providing unit, for example, provides a function that allows a user to chat with other users in real time during a travel experience. For example, the user can share impressions with other users who are visiting the same tourist spot. The providing unit also provides a function that allows a user to make video calls with other users during a travel experience. For example, the user can enjoy a travel experience with friends or family. The providing unit also provides a function that allows a user to make voice calls with other users during a travel experience. For example, the user can share impressions and information about the trip in real time. This allows the user to communicate with other users in real time, thereby providing a more attractive travel experience.

[0074] The providing unit provides a travel experience using AR technology, allowing the user to enjoy an experience that blends the real world and the virtual world from the comfort of their own home. For example, the providing unit uses AR technology to superimpose information about tourist spots onto the real world while the user is at home. For example, it displays an image of the Eiffel Tower in the living room of the user's home. The providing unit also uses AR technology to allow the user to experience tourist spot activities while at home. For example, it provides an experience that makes the user feel as if they are relaxing on a beach in Hawaii from the comfort of their own home. The providing unit also uses AR technology to allow the user to learn about the history and culture of tourist spots while at home. For example, it displays information about buildings and ruins at tourist spots. In this way, the use of AR technology can provide the user with an experience that blends the real world and the virtual world.

[0075] The providing unit can provide an interactive map that allows the user to obtain detailed information about specific places and activities during the travel experience. The providing unit, for example, provides an interactive map, allowing the user to obtain detailed information about specific places and activities during the travel experience. For example, information about the history and culture of a tourist destination is displayed. The providing unit also provides an interactive map, and when the user selects a specific place, detailed information about the place is displayed. For example, highlights of the tourist destination and recommended activities are displayed. The providing unit also provides an interactive map, and when the user selects a specific activity, detailed information about the activity is displayed. For example, the content of the activity and how to participate are displayed. In this way, by providing an interactive map, the user can obtain detailed information during the travel experience.

[0076] The providing unit can use the emotion estimation function to analyze the emotions felt by the user during the travel experience in real time and provide additional content that elicits positive emotions. For example, the providing unit uses the emotion estimation function to analyze the emotions felt by the user during the travel experience in real time and provide additional content that elicits positive emotions. For example, if the user is enjoying themselves, the providing unit suggests even more enjoyable activities. The providing unit also analyzes the user's emotional state using voice analysis technology and provides additional content that elicits positive emotions. For example, if the user is relaxed, the providing unit suggests relaxing activities. The providing unit also collects biometric data (heart rate and electrodermal activity) of the user using a sensor and analyzes the user's emotional state using an emotion estimation algorithm. For example, the providing unit calculates an emotion score based on heart rate fluctuations and provides additional content that elicits positive emotions. This makes it possible to provide a more attractive travel experience by providing positive additional content that matches the user's emotions.

[0077] The plan creation unit can learn the user's past customization history and suggest more appropriate customization options. In the plan creation unit, for example, a generation AI analyzes the user's past customization history and learns their preferences and tendencies. For example, it suggests optimal customization options based on tourist spots and activities selected in the past. The plan creation unit also suggests optimal customization options for the user based on the user's customization history. For example, it suggests customization options that suit the user based on options and settings selected in the past. The plan creation unit also analyzes the user's customization history and learns the user's preferences and tendencies. For example, it suggests optimal customization options based on tourist spots and activities selected in the past. In this way, by learning the user's past customization history, it is possible to provide more appropriate customization options.

[0078] The plan creation unit can propose reasonable customization options taking into account the user's health condition and physical condition. For example, the generation AI in the plan creation unit analyzes the user's health data (e.g., data from a pedometer or heart rate monitor) and proposes customization options according to their physical condition. For example, for a user with reduced physical strength, activities involving less movement are proposed. The plan creation unit also analyzes the user's health condition based on medical data or self-reporting and proposes reasonable customization options. For example, if the user has a specific health problem, options that take that problem into consideration are proposed. The plan creation unit also analyzes the user's health condition and physical condition based on data from a wearable device and proposes reasonable customization options. For example, options including appropriate activities are proposed based on the user's heart rate and step count data. This makes it possible to provide reasonable customization options according to the user's health condition.

[0079] The plan creation unit can also consider the preferences of the user's friends and family and suggest customized options for the group trip. For example, the plan creation unit uses a generation AI to analyze the travel history and preferences of the user's friends and family and suggest customized options for the group trip that everyone can enjoy. For example, it creates a plan that includes a theme park that the whole family can enjoy. The plan creation unit also analyzes the preferences of the user's friends and family based on survey results and SNS data and suggests customized options for the group trip. For example, it creates a plan that includes activities that all friends can enjoy. The plan creation unit also analyzes the preferences of the user's friends and family based on past travel history and suggests customized options for the group trip. For example, it creates a plan that includes tourist spots that the whole family can enjoy. This makes it possible to provide customized options for the group trip that suit the preferences of the user's friends and family.

[0080] The plan creation unit can suggest customization options according to different seasons and time periods, allowing users to enjoy the charms of each season. For example, the generation AI analyzes tourist spots and event information for each season, and suggests the most suitable customization options to the user. For example, in spring, the plan creation unit suggests a plan that includes famous cherry blossom viewing spots. The plan creation unit also suggests tourist spots and activities according to different seasons and time periods. For example, in summer, the plan creation unit suggests a plan that includes beach resorts. The plan creation unit also suggests the most suitable customization options to the user, allowing users to enjoy the charms of each season. For example, in autumn, the plan creation unit suggests a plan that includes famous autumn foliage viewing spots. This makes it possible to provide customization options that allow users to enjoy the charms of each season.

[0081] The plan creation unit can use the emotion estimation function to analyze the emotion of the user when selecting customization options in real time and suggest options that elicit positive emotions. For example, the plan creation unit uses the emotion estimation function to analyze the emotion of the user when selecting customization options in real time and suggest options that elicit positive emotions. For example, if the user seems to be having fun, the plan creation unit suggests plans that include active activities. The plan creation unit also analyzes the user's emotional state using voice analysis technology and suggests options that elicit positive emotions. For example, if the user is relaxed, the plan creation unit suggests relaxing activities. The plan creation unit also collects biometric data (heart rate and electrodermal activity) from a sensor and analyzes the user's emotional state using an emotion estimation algorithm. For example, the plan creation unit calculates an emotion score based on heart rate fluctuations and suggests options that elicit positive emotions. This makes it possible to provide more attractive travel plans by providing positive customization options that correspond to the user's emotions.

[0082] The providing unit uses the generation AI to provide detailed information in real time in response to a user's question, thereby maintaining the user's interest. For example, the generating AI provides detailed information in real time in response to a user's question. For example, if a user asks, "I want to know the history of this building," the providing unit provides the historical background of the building. The providing unit also uses the generation AI to provide detailed information in response to a user's question. For example, if a user asks, "What are the recommended activities in this place?" the providing unit provides recommended activities for that place. The providing unit also uses the generation AI to provide detailed information in real time in response to a user's question. For example, if a user asks, "What are the highlights of this tourist destination?" the providing unit provides the highlights of the tourist destination. In this way, detailed information can be provided in real time in response to a user's question, thereby maintaining the user's interest.

[0083] The providing unit can use the generation AI to analyze the user's real-time emotional state and provide additional information according to that emotion. For example, the providing unit uses the generation AI to analyze the user's real-time emotional state and provide additional information according to that emotion. For example, if the user is excited, it provides information on active activities. The providing unit also uses the generation AI to analyze the user's emotional state using voice analysis technology and provide additional information according to that emotion. For example, if the user is relaxed, it provides information on relaxing activities. The providing unit also uses the generation AI to collect biometric data (heart rate and electrodermal activity) from a sensor and analyze the user's emotional state using an emotion estimation algorithm. For example, it calculates an emotion score based on heart rate fluctuations and provides additional information according to that emotion. This allows the user to have a more engaging travel experience by providing additional information according to their emotion.

[0084] The providing unit can use the generation AI to learn the user's past question history and provide more appropriate information. For example, the providing unit uses the generation AI to analyze the user's past question history and learn their preferences and interests. For example, it provides new information related to questions asked in the past. The providing unit also uses the generation AI to provide the user with the most appropriate information based on the user's question history. For example, it provides information on tourist spots related to questions asked in the past. The providing unit also uses the generation AI to analyze the user's past question history and learn the user's preferences and interests. For example, it provides new information related to questions asked in the past. In this way, by learning the user's past question history, it is possible to provide more appropriate information.

[0085] The provision unit uses the generation AI to provide information in different languages, making it possible to accommodate international users. For example, the provision unit uses the generation AI to provide information in different languages, making it possible to accommodate international users. For example, information is provided in multiple languages, such as English, French, and Chinese. The provision unit also uses the generation AI to provide information according to the user's language setting. For example, information about tourist spots is provided in the language set by the user. The provision unit also uses the generation AI to provide information in different languages, making it possible to accommodate international users. For example, information is provided in multiple languages, such as English, French, and Chinese. In this way, by providing information in different languages, it is possible to accommodate international users.

[0086] The providing unit uses the generation AI to automatically suggest related information according to the user's interests, thereby broadening the user's knowledge. For example, the providing unit uses the generation AI to automatically suggest related information according to the user's interests. For example, if a user asks a question about a specific tourist destination, information on other tourist destinations related to that tourist destination is provided. The providing unit also uses the generation AI to suggest related information according to the user's interests. For example, if a user asks a question about a specific activity, information on other activities related to that activity is provided. The providing unit also uses the generation AI to automatically suggest related information according to the user's interests. For example, if a user asks a question about a specific tourist destination, information on other tourist destinations related to that tourist destination is provided. This makes it possible to broaden the user's knowledge by automatically suggesting related information according to the user's interests.

[0087] The providing unit can use the emotion estimation function to analyze the emotion of the user when inputting a question in real time and provide information that elicits positive emotions. For example, the providing unit uses the emotion estimation function to analyze the emotion of the user when inputting a question in real time and provide information that elicits positive emotions. For example, if the user seems to be having fun, the providing unit provides more enjoyable information. The providing unit also analyzes the user's emotional state using voice analysis technology and provides information that elicits positive emotions. For example, if the user is relaxed, the providing unit provides information that will help them relax. The providing unit also collects biometric data (heart rate and electrodermal activity) of the user using a sensor and analyzes the user's emotional state using an emotion estimation algorithm. For example, the providing unit calculates an emotion score based on heart rate fluctuations and provides information that elicits positive emotions. This allows the user to receive positive information that matches their emotions, providing a more attractive travel experience.

[0088] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0089] The plan creation unit can learn the user's past travel history and preferences and propose more personalized travel plans. For example, if a user has previously visited beach resorts, a plan for a new beach resort can be proposed. Also, if the user likes historical buildings, a plan including historical tourist spots can be proposed. Furthermore, the optimal travel plan for the user can be proposed based on the user's past travel history and preferences. This makes it possible to provide travel plans that meet the user's preferences.

[0090] The plan creation unit can analyze the user's real-time emotional state and create a travel plan that matches that emotion. For example, it can suggest a relaxing plan to a stressed user. If the user is excited, it can also suggest a plan that includes active activities. Furthermore, it can collect biometric data (heart rate and electrodermal activity) from sensors to analyze the user's emotional state using an emotion estimation algorithm. This allows it to provide a travel plan that matches the user's emotions.

[0091] The plan creation unit can propose reasonable travel plans based on the user's health condition and physical condition. For example, a plan with less travel can be proposed to a user with reduced physical strength. The plan creation unit can also analyze the user's health condition based on medical data and self-reporting to propose reasonable travel plans. Furthermore, the plan creation unit can analyze the user's health condition and physical condition based on data from a wearable device to propose reasonable travel plans. This makes it possible to provide travel plans that suit the user's health condition.

[0092] The plan creation unit can create a group travel plan based on the preferences of the user's friends and family. For example, it can create a plan that includes a theme park that the whole family can enjoy. It can also analyze the preferences of the user's friends and family based on survey results and social media data to propose group travel plans. It can also analyze the preferences of the user's friends and family based on past travel history to propose group travel plans. This makes it possible to provide group travel plans that suit the preferences of the user's friends and family.

[0093] The plan creation unit can propose travel plans based on different seasons and time periods, allowing users to enjoy the attractions of each season. For example, in spring, a plan including famous cherry blossom viewing spots can be proposed. In summer, a plan including beach resorts can be proposed. Furthermore, in autumn, a plan including famous autumn foliage viewing spots can be proposed. In this way, it is possible to provide travel plans that allow users to enjoy the attractions of each season.

[0094] The plan creation unit uses the emotion estimation function to analyze the user's emotions in real time when entering travel plans, and can suggest travel plans that elicit positive emotions. For example, if the user appears to be having fun, it can suggest plans that include active activities. It can also analyze the user's emotional state using voice analysis technology to suggest plans that elicit positive emotions. Furthermore, it can collect biometric data (heart rate and electrodermal activity) from sensors and analyze the user's emotional state using an emotion estimation algorithm. This makes it possible to provide positive travel plans that match the user's emotions.

[0095] The travel creation unit can automatically add music and narration according to the user's preferences to create a more appealing travel video. For example, music with a relaxing atmosphere can be selected. Also, narration according to the user's preferences can be added to create a travel video. Furthermore, music from a genre that the user likes can be added to create a travel video. In this way, by adding music and narration according to the user's preferences, a more appealing travel video can be provided.

[0096] The travel creation unit can analyze the user's real-time emotional state and add visual effects according to that emotion. For example, if the user is excited, dynamic visual effects can be added. It can also analyze the user's emotional state using voice analysis technology and add visual effects according to that emotion. Furthermore, it can collect biometric data (heart rate and electrodermal activity) using sensors and analyze the user's emotional state using an emotion estimation algorithm. By adding visual effects according to the user's emotions, it is possible to provide a more appealing travel video.

[0097] The trip creation unit can generate images from different viewpoints to provide users with travel experiences from a variety of viewpoints. For example, it can generate images from a bird's-eye view to provide users with a travel experience with a wide field of view. It can also generate images from a first-person view to provide users with an immersive travel experience. It can also generate images from a drone's view to provide users with a travel experience from a new perspective. This allows users to experience travel from a variety of viewpoints.

[0098] The travel creation unit can use the emotion estimation function to analyze the user's emotions in real time when watching a travel video and add visual effects that elicit positive emotions. For example, if the user is enjoying themselves, it can add upbeat visual effects. It can also analyze the user's emotional state using voice analysis technology and add visual effects that elicit positive emotions. It can also collect biometric data (heart rate and electrodermal activity) using sensors and analyze the user's emotional state using an emotion estimation algorithm. This allows it to provide more appealing travel videos by adding positive visual effects that correspond to the user's emotions.

[0099] The processing flow of the second embodiment will be briefly explained below.

[0100] Step 1: The plan creation unit inputs the places the user wants to go and the scenery they want to see. For example, a user can input their wishes such as "I want to see the Eiffel Tower in Paris" or "I want to relax on the beach in Hawaii." The plan creation unit uses a generation AI to analyze the user's input and create a specific travel plan. For example, the generation AI creates a travel plan based on the user's input and suggests places to visit and activities. Step 2: The trip creation unit generates a video based on the travel plan created by the plan creation unit. For example, the video generation AI generates a travel video including footage of the Eiffel Tower based on the generated travel plan. The video generation AI can also generate a video including specific tourist spots and activities according to the user's wishes. Step 3: The providing unit provides the video generated by the trip creation unit to the user. For example, the providing unit streams the generated trip video to the user's device. The providing unit can also provide the user with an immersive travel experience using a VR headset.

[0101] 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.

[0102] 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.

[0103] 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.

[0104] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0105] 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0106] 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.

[0107] 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.

[0108] 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.

[0109] 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).

[0110] 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.

[0111] 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.

[0112] 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.

[0113] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0114] In the smart glasses 214, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the smart glasses 214 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0115] 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.

[0116] 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.

[0117] 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.

[0118] 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.

[0119] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0120] 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.

[0121] 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.

[0122] 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.

[0123] 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.

[0124] 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).

[0125] 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.

[0126] 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.

[0127] 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.

[0128] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0129] In the headset type terminal 314, the identification process is performed by the processor 46. A identification program 60 is stored in the storage 50. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as a control unit 46A in accordance with the identification program 60 executed on the RAM 48. Note that the headset type terminal 314 may also have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0130] 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.

[0131] 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.

[0132] 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.

[0133] 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.

[0134] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0135] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0136] 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.

[0137] 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.

[0138] 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.

[0139] 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).

[0140] 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.

[0141] 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.

[0142] 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.

[0143] 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.

[0144] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0145] In the robot 414, the processor 46 performs the identification process. A identification program 60 is stored in the storage 50. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as a control unit 46A in accordance with the identification program 60 executed on the RAM 48. The robot 414 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0146] 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.

[0147] 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.

[0148] 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.

[0149] 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.

[0150] 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.

[0151] 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.

[0152] 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.

[0153] 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).

[0154] 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.

[0155] 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."

[0156] 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.

[0157] 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.

[0158] 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.

[0159] 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.

[0160] 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.

[0161] 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.

[0162] 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.

[0163] 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.

[0164] 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.

[0165] 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.

[0166] 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.

[0167] 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]

[0168] 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. a plan creation section for inputting the places the user wants to go or the scenery the user wants to see; a travel planning unit that generates a video based on the travel plan created by the plan creation unit; a providing unit that provides the video created by the travel planning unit to a user. A system characterized by:

2. The plan creation unit Analyze the user's real-time emotional state and create a travel plan based on that emotion 2. The system of claim 1.

3. The travel planning unit Automatically add music and narration based on user preferences to create more engaging travel videos 2. The system of claim 1.

4. The providing unit Using a VR headset, users can feel as if they are actually in the location.

2. The system of claim 1.

5. The travel planning unit Analyze the user's real-time emotional state and add visual effects according to that emotion 2. The system of claim 1.

6. The providing unit Analyze the emotions users feel during their travel experiences in real time and provide additional content that elicits positive emotions 2. The system of claim 1.

7. The plan creation unit Analyzes the user's real-time emotional state and suggests customization options based on that emotion 2. The system of claim 1.

8. The providing unit Using generative AI to analyze the user's real-time emotional state and provide additional information based on that emotion 2. The system of claim 1.

Images