System

Abstract

A system is provided.SOLUTION: This system includes a means for inputting a place where a user wants to go and a scene that the user wants to see, a text generation means for receiving information inputted from the user and generating a travel plan, a moving image generation means for generating a travel moving image on the basis of the generated travel plan, and a means for distributing the generated travel moving image to the terminal of the user.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] People who have physical limitations when traveling, such as hospitalized patients and people with disabilities, face challenges in satisfying their desire to experience the attractions of travel. Furthermore, existing virtual tours and travel videos have limited content and are unable to provide a customized travel experience based on the user's specific needs. Furthermore, there is a lack of methods for providing high-resolution, realistic travel experiences. This invention aims to solve these problems by allowing users to freely choose the places they want to go and the scenery they want to see, providing an individually customized travel experience. [Means for solving the problem]

[0005] The present invention solves the above-mentioned problems by providing the following means. The system includes a means for inputting the places a user wants to go and the scenery they want to see, and a text generation means for receiving the input information and generating a travel plan. The system also includes a video generation means for generating a travel video based on the generated travel plan and a means for delivering the generated travel video to the user's device. This system allows users to enjoy a simulated travel experience through customized travel videos. The travel plan generated by the text generation means is detailed, including the order of each tourist spot, the length of stay, and recommended activities. The video generation means searches for and selects video footage of selected tourist spots, and generates a realistic travel video by editing it and combining it with sound effects and narration. This makes it possible to provide users with a high-quality, immersive travel experience.

[0006] "User" refers to an individual who utilizes the System to customize and enjoy a travel experience.

[0007] "Places and Sceneries to See" refers to specific places, landmarks, or scenery that a user would like to visit in their virtual travel experience.

[0008] "Means of input" refers to the interface (keyboard, touchscreen, voice input, etc.) that users use to communicate to the system where they want to go, what scenery they want to see, and their specific requests.

[0009] "Text Generation Means" refers to an artificial intelligence engine and associated algorithms for automatically generating detailed travel itineraries based on user input data.

[0010] "Travel Plan" refers to a virtual travel plan based on the places you want to go and the sights you want to see, including details such as the order of the sights you want to see, the duration of your stay, and recommended activities.

[0011] "Video generation means" refers to an artificial intelligence engine and associated algorithms for creating a virtual travel video by combining appropriate video footage based on the generated travel plan.

[0012] "Footage" refers to digital media data such as videos, photos, and audio that realistically recreate the location or activity desired by the user.

[0013] "User's terminal" refers to the user's device (smartphone, tablet, PC, etc.) that can receive and view the generated virtual travel video.

[0014] "Means for distribution" refers to the network infrastructure and software for transmitting the generated travel videos from the server to the user's device.

[0015] A "simulated travel experience" refers to an experience that gives users the feeling of having virtually visited a location without actually traveling.

[0016] "High-quality immersive travel experiences" refer to virtual travel experiences designed to make users feel as if they are actually there through high-resolution video and high-quality audio. [Brief explanation of the drawings]

[0017] [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. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0018] 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.

[0019] First, the terms used in the following description will be explained.

[0020] 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, a 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), and an APU (Accelerated Processing Unit).

[0021] 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.

[0022] 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.

[0023] 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), Bluetooth (registered trademark), etc.

[0024] 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."

[0025] [First embodiment]

[0026] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0027] 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.

[0028] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the 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).

[0029] 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.

[0030] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. 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 acquires the data indicating the user input.

[0031] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The 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.

[0032] 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.

[0033] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0034] 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.

[0035] 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.

[0036] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0037] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0038] System Overview

[0039] This invention is a system that allows users to freely input the places they want to go and the scenery they want to see, and generates individually customized travel plans and travel videos based on that information. The system consists of the user's device, a server, a text generation AI, and a video generation AI.

[0040] Explanation of program processing

[0041] User-created plans

[0042] 1. User:

[0043] Users access a dedicated app or website from their own device (smartphone, tablet, PC, etc.) and log in.

[0044] After logging in, enter the places you want to go, the scenery you want to see, the activities you want to experience, etc. on the travel plan creation screen.

[0045] These input information are sent.

[0046] Plan acceptance and processing on the server

[0047] 2. Server:

[0048] Receives user input, analyzes it, and extracts the required data.

[0049] The extracted data is passed to a text generation AI, which is then instructed to generate a detailed travel plan.

[0050] Receive a detailed travel plan from the text generation AI and confirm the contents.

[0051] Travel video generation

[0052] 3. Server:

[0053] Based on a detailed travel plan, instructions are given to the video generation AI to generate the video.

[0054] 4. Video generation AI:

[0055] Based on the designated travel plan, search for and select the appropriate video material.

[0056] Edit footage and combine it with sound effects and narration to create a travel video.

[0057] The generated travel video is sent to the server.

[0058] Providing travel videos

[0059] 5. Server:

[0060] It receives travel videos and converts them into a format that can be delivered to the user's device.

[0061] Sends a notification to the user that the video is ready.

[0062] 6. Terminal:

[0063] Receive notifications and play travel videos based on user instructions.

[0064] User travel experience

[0065] 7. Users:

[0066] You can watch travel videos on your device and enjoy a simulated travel experience.

[0067] Specific examples

[0068] Example 1: Trip to New York

[0069] user:

[0070] "I want to visit New York. I want to see the Statue of Liberty and visit Times Square."

[0071] Device:

[0072] Users simply enter "New York, Statue of Liberty, Times Square" into a dedicated app and send it.

[0073] server:

[0074] It receives input information and passes it to a text generation AI to generate a detailed travel plan, including specific details such as "a two-day, one-night trip to New York, visiting the Goddess of Merit, and visiting Times Square."

[0075] Video generation AI:

[0076] Based on the travel plan, video footage of the Statue of Liberty and Times Square is searched, selected, and edited to create a travel video.

[0077] server:

[0078] The generated travel video is delivered to the user's device.

[0079] Device:

[0080] Users can receive and play travel videos to simulate a trip to New York.

[0081] In this way, users can enjoy a realistic travel experience through travel videos customized to their specific needs.The system makes travelling convenient and enjoyable even for people who have difficulty traveling.

[0082] The processing flow will be explained below.

[0083] Step 1:

[0084] user:

[0085] Access the dedicated app or website from your device (e.g. smartphone, tablet, PC) and enter your user ID and password to log in to the system.

[0086] After logging in, go to the "Create a Travel Plan" screen from the menu.

[0087] Enter the places you want to go, the scenery you want to see, the activities you want to experience, etc. in the text box.

[0088] Once you have completed the input, press the "Submit" button to send the data to the server.

[0089] Step 2:

[0090] server:

[0091] Receive travel preference data sent by users.

[0092] The received data is analyzed and information such as places you want to go, scenery you want to see, and activities you want to do is extracted.

[0093] Based on the extracted information, the text generation AI is instructed to create a travel plan.

[0094] Step 3:

[0095] Text generation AI:

[0096] It receives data sent from the server and automatically generates a detailed travel plan including the order of each tourist spot, the duration of stay, recommended activities, etc.

[0097] The generated travel plan is returned to the server.

[0098] Step 4:

[0099] server:

[0100] The travel plan received from the text generation AI is checked and sent to the video generation AI, instructing it to generate a travel video.

[0101] Step 5:

[0102] Video generation AI:

[0103] The content of the generated travel plan is received and the corresponding video material is searched for in the database.

[0104] The searched video material is selected and edited by adding scene transitions between tourist spots, sound effects, narration, etc.

[0105] High-quality travel videos are generated and sent to a server.

[0106] Step 6:

[0107] server:

[0108] It receives travel videos sent from the video generation AI and converts them into a format that can be distributed to the user's device.

[0109] Sends a notification to the user's device that the video is ready.

[0110] Step 7:

[0111] Device:

[0112] Displays notifications received from the server.

[0113] When the user taps on the notification, a video player will launch and play the travel video, either by streaming or downloading.

[0114] Step 8:

[0115] user:

[0116] Enjoy a simulated travel experience by watching travel videos played on the device's video player.

[0117] While watching, you can use options like narration and subtitles to enhance your experience.

[0118] The above are the detailed processing steps of this system, which allows users to enjoy a realistic travel experience from the comfort of their own home.

[0119] Example 1

[0120] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0121] Conventional travel plan and travel video generation systems lack the ability to quickly and effectively generate travel plans and travel videos that meet detailed, customized user requirements. Furthermore, there is no consistent process for creating travel plans and travel videos, making it difficult to provide users with an optimal experience. Therefore, there is a need for a system that can efficiently and accurately generate customized travel plans and travel videos that meet users' requests.

[0122] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0123] In this invention, the server includes means for inputting the places the user wants to go and the scenery they want to see, means for receiving and analyzing the information input by the user, means for generating a detailed travel plan based on the analyzed data, means for searching for and selecting appropriate video material based on the generated detailed travel plan, and for generating a travel video by editing and combining sound effects and narration, and means for delivering the generated travel video to the user's terminal. This makes it possible to consistently and efficiently generate travel plans and travel videos based on the user's customized detailed requirements, and provide the user with the best simulated travel experience.

[0124] "User" means a person or individual who uses the system to request the generation of a travel plan and travel video.

[0125] The "server" is a computer system that receives and analyzes information input by users and generates comprehensive travel plans and travel videos in cooperation with the text generation means and video generation means.

[0126] A "text generation means" is an artificial intelligence (e.g., natural language generation model) or processing means for generating a detailed travel plan based on information provided by a user.

[0127] The "video generation means" refers to the function and processing means for searching for and selecting relevant video material based on the generated detailed travel plan, editing it, and combining sound effects and narration to generate a travel video.

[0128] A "trip plan" is a detailed, comprehensive plan of the places you want to go, the sights you want to see, the activities you want to experience, etc.

[0129] "Travel Video" means visual and audio content created based on a user's desired travel plan, intended to provide a virtual travel experience.

[0130] "Input means" refers to the interface (e.g., application, web form) and processing means used by the user to input information such as the place they want to go and the scenery they want to see.

[0131] The "means for receiving and analyzing information" refers to a processing means for receiving information sent from a user, analyzing it, and extracting data necessary for creating a travel plan.

[0132] The "distribution means" refers to the function and processing means for converting the generated travel video into a format suitable for the user's terminal and transmitting it to the user.

[0133] MODE FOR CARRYING OUT THE INVENTION

[0134] This invention is a system that allows users to freely input the places they want to go and the scenery they want to see, and generates individually customized travel plans and travel videos based on that information. The system consists of the user's device, a server, a text generation AI, and a video generation AI.

[0135] System configuration

[0136] User's device:

[0137] Users access a dedicated app or website using a device such as a smartphone, tablet, or PC, and can input information such as the places they want to go, the scenery they want to see, and the activities they want to experience.

[0138] server:

[0139] The server receives and analyzes the information entered by the user. The following functional modules are located on the server:

[0140] 1. Text generation AI (e.g. OpenAI GPT-3):

[0141] The server uses text generation AI to generate a detailed travel plan based on the information provided by the user, including specific travel itineraries, tourist information, and recommended activities according to the prompts received.

[0142] 2. Video generation AI (e.g., Synthesia and Pictory):

[0143] Based on the detailed travel plan generated by the text generation AI, the video generation AI searches for and selects the appropriate video material, then edits the footage as needed and combines sound effects and narration to create a travel video.

[0144] Travel video streaming:

[0145] The generated travel video is delivered from the server to the user's device, where it is converted into a format suitable for the user's device and notifies the user that the video is ready.

[0146] User experience:

[0147] Users can receive notifications and watch travel videos on their devices, allowing them to enjoy a simulated travel experience.

[0148] Specific examples

[0149] Example 1: Trip to New York

[0150] Let's say a user enters "New York, Statue of Liberty, Times Square" into a dedicated app and sends it.

[0151] Example prompt sentence:

[0152] "Please create a detailed itinerary for my trip to New York. I'd like a two-day, one-night plan that includes a visit to the Statue of Liberty and Times Square."

[0153] Text generation AI:

[0154] The server passes the input information to a text generation AI (e.g., OpenAI GPT-3), which generates a detailed travel plan based on the prompt, such as "New York, 1 night, 2 days: visit the Statue of Liberty on the first day, and Times Square on the second day."

[0155] Video generation AI:

[0156] Based on a detailed travel plan, a video generation AI (e.g., Synthesia or Pictory) searches, selects, and edits footage of the Statue of Liberty and Times Square, stitching the clips together and adding sound effects and narration to create a complete travel video.

[0157] Travel video streaming:

[0158] The generated travel video is delivered from the server to the user's device. The user receives a notification and can watch the travel video on their device to experience a simulated trip to New York.

[0159] In this way, users can enjoy a realistic travel experience through travel videos customized to their specific needs.The system makes travelling convenient and enjoyable even for people who have difficulty traveling.

[0160] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0161] Program processing steps

[0162] Step 1:

[0163] user:

[0164] Users access a dedicated app or website from their smartphone, tablet, PC, or other device and log in.

[0165] Using the interface on the device to input information about your travel destination, you can enter specific details about the places you want to go, the scenery you want to see, and the activities you want to experience.

[0166] Example: "New York, Statue of Liberty, Times Square, 2 days, 1 night"

[0167] Click the send button to send the entered information to the server.

[0168] Input: Travel information such as places you want to go, sights you want to see, activities you want to experience, etc.

[0169] Output: Travel preference information sent to the server

[0170] Step 2:

[0171] server:

[0172] Receive travel preferences sent by users.

[0173] The data processing engine is used to analyze the received data and extract the information necessary to create a travel plan.

[0174] Specific data processing: Using natural language processing, elements such as place names, tourist spots, and time periods are extracted from the input data.

[0175] Input: Travel preference information submitted by the user

[0176] Output: Extracted element data for creating a travel plan

[0177] Step 3:

[0178] server:

[0179] The extracted data is fed as prompts to a text generation AI (e.g., OpenAI GPT-3) to generate a detailed travel plan.

[0180] Example prompt: "Please create a detailed itinerary for a trip to New York. I'd like a two-day, one-night plan that includes a visit to the Statue of Liberty and Times Square."

[0181] Based on the prompt, the text generation AI generates a detailed plan including the itinerary, order of sightseeing spots, length of stay, and recommended activities.

[0182] Input: Extracted element data for creating a travel plan, prompt text

[0183] Output: A detailed itinerary

[0184] Step 4:

[0185] server:

[0186] It receives a detailed travel plan and passes it to a video generation AI (e.g., Synthesia or Pictory) to generate a video.

[0187] The video generation AI searches for and selects the appropriate video material according to the received plan.

[0188] Specific data processing: Selecting relevant video clips from the video bank and selecting the most suitable scenes.

[0189] Input: Detailed travel plan

[0190] Output: Selecting and clipping footage

[0191] Step 5:

[0192] Video generation AI:

[0193] The selected footage is edited and sound effects and narration are added to create a travel video.

[0194] What you'll do: Stitch together video clips, add narration, and place sound effects where appropriate to complete the video.

[0195] Input: Selected footage

[0196] Output: Generated travel video

[0197] Step 6:

[0198] server:

[0199] Receives travel videos generated by the video generation AI and converts them into a format suitable for the user's device (e.g., MP4).

[0200] After the format conversion, the video is ready to be distributed to the user's device.

[0201] Input: Generated travel video

[0202] Output: Travel videos in device-compatible format

[0203] Step 7:

[0204] server:

[0205] Sends a notification to the user that their travel video is ready.

[0206] You will be notified via push notification or email that your travel video is ready.

[0207] Input: Travel videos in device-compatible format

[0208] Output: Ready notification to user

[0209] Step 8:

[0210] Device:

[0211] Receive notifications and play travel videos based on user instructions.

[0212] Specific behavior: The user presses the play button in the app and the video plays on the device.

[0213] Input: Ready notification, travel video in device-compatible format

[0214] Output: Played travel video

[0215] Step 9:

[0216] user:

[0217] Watch travel videos on your device and enjoy a simulated travel experience.

[0218] Input: Travel video played

[0219] Output: The user's viewing experience

[0220] This allows users to enjoy a realistic travel experience through travel videos customized based on their specific requirements.

[0221] (Application example 1)

[0222] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0223] Conventional travel plan generation systems only provide travel plans based on user input information, making it difficult to customize them to meet the individual preferences and needs of each user. Furthermore, the travel videos based on the provided travel plans are limited and lack realism and reality. Furthermore, since some users find it difficult to travel in person, there is a need for a more realistic virtual travel experience. There is a need to solve these issues and provide users with a more satisfying, customized travel experience.

[0224] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0225] In this invention, the server includes means for a user to input places they want to go and scenery they want to see, a text generation means for receiving the information input by the user and generating a travel plan, a video generation means for generating a travel video based on the generated travel plan, a means for delivering the generated travel video to the user's terminal, a means for customizing the travel plan and travel video based on the user's preferences, and a means for providing a virtual travel experience using a virtual reality device. This allows a user to obtain a customized travel plan that suits their preferences and enjoy a realistic virtual travel experience based on that plan with highly realistic videos.

[0226] "Means for users to input the places they want to go and the scenery they want to see" refers to an interface that allows users to specify their desired travel destinations and the scenery they want to see, and provide that information to the system.

[0227] A "text generator" is a system component that includes artificial intelligence technology for automatically generating a detailed travel itinerary based on information received from a user.

[0228] The "video generation means" is a system component that searches for and edits video material corresponding to the generated travel plan to generate a travel video.

[0229] "Means for delivering the generated travel video to the user's device" refers to the mechanism for sending the completed travel video to various digital devices owned by the user (e.g., smartphone, tablet, PC).

[0230] "Means for customizing travel plans and travel videos based on user preferences" means a system component that individually adjusts and modifies travel plans and corresponding travel videos according to a user's individual preferences and needs.

[0231] "Means for providing a virtual travel experience using a virtual reality device" refers to a mechanism for displaying the generated travel video on a device compatible with virtual reality technology (e.g., a VR headset) to provide users with a virtual travel experience.

[0232] "Order, duration of stay at each tourist spot, and recommended activities" refers to the order in which the tourist spots are visited in the travel plan, the duration of stay at each spot, and the recommended activities at each spot.

[0233] "Searching, selecting, editing and combining sound effects and narration to create a travel video" refers to the process of finding, selecting and organizing suitable footage, and then adding sound effects and audio narration to create a complete travel video.

[0234] Videos "optimized for viewing on virtual reality devices" refer to video content that has been specially adjusted and edited to be compatible with VR technology and optimized to provide users with an immersive visual and auditory experience through a VR headset or similar device.

[0235] This invention relates to a system that generates customized travel plans and travel videos based on user input of places to go and scenery to see. The system mainly consists of a user terminal, a server, text generation AI, video generation AI, and a virtual reality device.

[0236] System Program

[0237] User-provided input information

[0238] Users use a dedicated app or web browser to input the places they want to go, the scenery they want to see, and the activities they want to experience. This information is sent from the user's device to the server.

[0239] Plan generation on the server

[0240] The server analyzes the input information received from the user and extracts relevant data, which is then passed to a text generation AI (e.g., OpenAI GPT-4) to generate a detailed itinerary, including the order of visits, duration of stays, and recommended activities for each tourist spot.

[0241] Travel video generation

[0242] The generated travel plan is passed to a video generation AI (e.g., Synthesia), which searches for and selects corresponding video material. The video generation AI then edits these materials and combines them with sound effects and narration to generate a travel video that is optimized for viewing on a virtual reality device.

[0243] Providing videos to users

[0244] The server delivers the generated travel video to the user's device, which then converts the received video into a viewable format and provides it to the user. The user can then use a virtual reality device to enjoy an immersive virtual travel experience.

[0245] Hardware and software used

[0246] User devices: smartphones, tablets, PCs.

[0247] Server: Hosting of data analysis and generative AI models.

[0248] Text generation AI: Text generation models such as OpenAI GPT-4.

[0249] Video generation AI: Video generation models such as Synthesia.

[0250] Virtual reality devices: VR headsets (e.g., Oculus Quest, HTC Vive).

[0251] Examples of concrete examples and prompts

[0252] Specific examples

[0253] The user enters the following through a dedicated app:

[0254] "I want to go to Kyoto. I want to see Kinkaku-ji Temple and visit Gion."

[0255] The server receives the information entered and sends the following prompt to the text generation AI:

[0256] "The user wants to travel to Kyoto. Please generate a 2-day, 1-night Kyoto itinerary that includes Kinkakuji Temple and Gion."

[0257] Based on the generated itinerary, the server sends the following prompts to the video generation AI:

[0258] "Based on the user's desired Kyoto travel plan, please select footage of Kinkakuji Temple and Gion and generate a two-day, one-night travel video."

[0259] This allows users to obtain a customized travel plan that suits their preferences, and to enjoy an immersive virtual travel experience based on that plan with highly realistic video.

[0260] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0261] Step 1:

[0262] The user inputs the place they want to go and the scenery they want to see.

[0263] Input: A user uses a dedicated app or web browser to enter information such as, "I want to go to Kyoto. I want to see Kinkaku-ji Temple and also visit Gion."

[0264] What it does: A user enters data into an in-app form and presses the "Submit" button.

[0265] Output: Input information is sent from the user's device to the server.

[0266] Step 2:

[0267] The server analyzes the information received from the user.

[0268] Input: Travel preferences entered by the user.

[0269] How it works: The server uses text analysis algorithms to extract important keywords from the received data, such as destinations and views you want to see. Natural language processing (NLP) techniques are used in this process to accurately understand the user's intent.

[0270] Output: The parsed information is formatted in a format that can be passed to the text generation AI.

[0271] Step 3:

[0272] Text generation AI generates detailed travel plans.

[0273] Input: Parsed user information passed from the server.

[0274] How it works: Based on details of the user's desired travel destinations and activities, a text generation AI (e.g., OpenAI GPT-4) generates a travel plan including the travel schedule, order of visits, recommended activities, etc. During this process, the AI ​​model references a trained database to automatically generate the optimal plan.

[0275] Output: The generated detailed travel plan is returned to the server.

[0276] Step 4:

[0277] The server issues instructions to the video generation AI based on the generated travel plan.

[0278] Input: A detailed travel plan from a text generation AI.

[0279] How it works: The server analyzes the generated travel plan and creates a specific prompt for the video generation AI. The prompt might be something like, "Based on the user's desired Kyoto travel plan, please select footage of Kinkakuji Temple and Gion and generate a two-day, one-night travel video."

[0280] Output: Prompt text passed to the video generation AI.

[0281] Step 5:

[0282] Video generation AI generates travel videos.

[0283] Input: Prompt text from the server.

[0284] How it works: Based on a prompt, the video generation AI (e.g., Synthesia) searches and selects relevant video material from a database and edits the video. During the editing process, sound effects and narration are added as needed, creating a video optimized for viewing on a virtual reality device.

[0285] Output: The completed travel video is sent to the server.

[0286] Step 6:

[0287] The server delivers the generated travel video to the user's device.

[0288] Input: Travel videos sent from a video generation AI.

[0289] How it works: The server converts the received video into a format that can be played on the user's device and delivers the video. During this process, the user is notified that the video is ready.

[0290] Output: Travel video delivered to the user's device.

[0291] Step 7:

[0292] Users watch the travel videos that are distributed.

[0293] Input: Travel videos and notifications delivered from the server.

[0294] How it works: Users play travel videos on their devices and enjoy an immersive virtual travel experience by putting on a virtual reality device. Specifically, they put on a VR headset, view the videos in 360 degrees, and experience a simulated travel experience.

[0295] Output: A satisfying virtual travel experience where users watch travel videos.

[0296] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0297] System Overview

[0298] This invention combines an emotion engine with a system that allows users to freely input the places they want to go and the scenery they want to see, and generates individually customized travel plans and travel videos based on that information. The emotion engine recognizes the user's emotions and can adjust the plan to improve the quality of the travel experience. The system consists of the user's device, a server, a text generation AI, a video generation AI, and the emotion engine.

[0299] Explanation of program processing

[0300] User-created plans

[0301] 1. User:

[0302] Access the dedicated app or website from your device (e.g. smartphone, tablet, PC) and log in.

[0303] After logging in, enter the places you want to go, the scenery you want to see, the activities you want to experience, etc. on the travel plan creation screen.

[0304] These input information are sent.

[0305] Plan acceptance and processing on the server

[0306] 2. Server:

[0307] Receive travel preference data sent by users.

[0308] Analyze the received data and extract the necessary information.

[0309] The extracted data is passed to a text generation AI, which is then instructed to generate a detailed travel plan.

[0310] Emotion recognition and plan adjustment using an emotion engine

[0311] 3. Server:

[0312] The travel plan received from the text generation AI is analyzed by an emotion engine, and emotions are recognized based on the user's input information and reactions while watching the video.

[0313] 4. Emotion Engine:

[0314] It recognizes emotions by analyzing a variety of data, such as the user's facial expressions, tone of voice, and touch operations.

[0315] Based on the emotions detected, travel plans are tailored to the user's interests.

[0316] The adjusted travel plan is sent to the server.

[0317] Travel video generation

[0318] 5. Server:

[0319] Based on the adjusted travel plan, instructions for video generation are given to the video generation AI.

[0320] 6. Video generation AI:

[0321] Based on the designated travel plan, the database is searched for relevant video material.

[0322] The searched video material is selected and edited by adding scene transitions between tourist spots, sound effects, narration, etc.

[0323] High-quality travel videos are generated and sent to a server.

[0324] Providing travel videos

[0325] 7. Server:

[0326] It receives travel videos sent from the video generation AI and converts them into a format that can be distributed to the user's device.

[0327] Sends a notification to the user's device that the video is ready.

[0328] 8. Terminal:

[0329] Displays notifications received from the server.

[0330] When the user taps on the notification, a video player will launch and play the travel video, either by streaming or downloading.

[0331] User travel experience

[0332] 9. Users:

[0333] You can watch travel videos on your device and enjoy a simulated travel experience.

[0334] While watching, you can enjoy a deeper experience with narration, subtitles, and emotional engine tuning options.

[0335] Specific examples

[0336] Example 1: Trip to New York

[0337] User: "I want to visit New York. I want to see the Statue of Liberty and visit Times Square."

[0338] Device:

[0339] Users simply enter "New York, Statue of Liberty, Times Square" into a dedicated app and send it.

[0340] server:

[0341] It receives input information and passes it to a text generation AI to generate a detailed travel plan.

[0342] The plan includes specific details such as "a two-day, one-night trip to New York, visiting the Statue of Liberty, and visiting Times Square."

[0343] Emotion Engine:

[0344] The app analyzes user input and emotions from videos the user has watched in the past, and adjusts the itinerary based on the results, for example, changing the time spent at the Statue of Liberty or focusing on the night view of Times Square.

[0345] Video generation AI:

[0346] Based on the tailored travel plan, footage of the Statue of Liberty and Times Square is searched, selected, and edited to create a travel video.

[0347] server:

[0348] The generated travel video is delivered to the user's device.

[0349] Device:

[0350] Users can receive and play travel videos to simulate a trip to New York.

[0351] In this way, users can enjoy a realistic travel experience through travel videos that are customized according to their specific needs and emotions. This system provides convenience and enjoyment to people who have difficulty traveling.

[0352] The processing flow will be explained below.

[0353] Step 1:

[0354] user:

[0355] Access the dedicated app or website from your device (e.g. smartphone, tablet, PC) and enter your user ID and password to log in to the system.

[0356] After logging in, enter the places you want to go, the scenery you want to see, the activities you want to experience, etc. into the text boxes on the travel plan creation screen.

[0357] Once you have completed the input, press the "Submit" button to send the data to the server.

[0358] Step 2:

[0359] server:

[0360] Receive travel preference data sent by users.

[0361] The received data is analyzed and information such as places you want to go, scenery you want to see, and activities you want to do is extracted.

[0362] Based on the extracted information, the text generation AI is instructed to create a travel plan.

[0363] Step 3:

[0364] Text generation AI:

[0365] It receives data sent from the server and automatically generates a detailed travel plan including the order of each tourist spot, the duration of stay, recommended activities, etc.

[0366] The generated travel plan is returned to the server.

[0367] Step 4:

[0368] server:

[0369] It checks the travel plan received from the text generation AI and sends it to the emotion engine to analyze the user's emotions.

[0370] Step 5:

[0371] Emotion Engine:

[0372] It recognizes the user's emotions by analyzing a variety of data, including user input information, past viewing history, facial expressions, voice tone, and touch operations.

[0373] Based on the emotions detected, travel plans are tailored to the user's interests.

[0374] The adjusted travel plan is sent to the server.

[0375] Step 6:

[0376] server:

[0377] Based on the adjusted travel plan, instructions for video generation are given to the video generation AI.

[0378] Step 7:

[0379] Video generation AI:

[0380] Based on the designated travel plan, the database is searched for relevant video material.

[0381] The searched video material is selected and edited by adding scene transitions between tourist spots, sound effects, narration, etc.

[0382] High-quality travel videos are generated and sent to a server.

[0383] Step 8:

[0384] server:

[0385] It receives travel videos sent from the video generation AI and converts them into a format that can be distributed to the user's device.

[0386] Sends a notification to the user's device that the video is ready.

[0387] Step 9:

[0388] Device:

[0389] Displays notifications received from the server.

[0390] When the user taps on the notification, a video player will launch and play the travel video, either by streaming or downloading.

[0391] Step 10:

[0392] user:

[0393] Enjoy a simulated travel experience by watching travel videos played on the device's video player.

[0394] While watching, you can enjoy narration, subtitles and emotional engine tuning options for a richer experience.

[0395] The above are the detailed processing steps of this system, which allows users to enjoy a realistic travel experience from the comfort of their own home.

[0396] Example 2

[0397] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0398] Conventional travel plan generation systems can provide travel plans based on user input, but they do not fully reflect the user's emotions and interests. This makes it difficult to provide a truly enjoyable, customized travel experience. Furthermore, even when generating travel videos based on travel plans, the system is unable to make fine adjustments to meet the user's requests, resulting in a disappointing experience.

[0399] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0400] In this invention, the server includes a means for inputting the places the user wants to go and the scenery they want to see, a text generation means for receiving the information input by the user and generating a travel plan, a sentiment analysis means for analyzing the user's sentiment and making adjustments to the generated travel plan, and a video generation means for generating a travel video based on the adjusted travel plan. This makes it possible to provide a customized travel plan that reflects the user's sentiments and interests, and a high-quality travel video based on that travel plan.

[0401] "Means for users to input places they want to go and scenery they want to see" is an interface that allows users to freely input information about their desired travel destinations, tourist spots, etc.

[0402] "Text generation means for receiving information entered by a user and generating a travel plan" refers to artificial intelligence technology and processes for automatically creating a travel plan based on information entered by a user.

[0403] "Emotion analysis means for analyzing user emotions and adjusting generated travel plans" refers to the technology and process for analyzing a user's emotions and interests and adaptively adjusting the travel plan based on those emotions and interests.

[0404] The "video generation means for generating travel videos based on an adjusted travel plan" refers to an artificial intelligence technology and process for creating travel videos according to an improved travel plan.

[0405] The "means for delivering the generated travel video to the user's terminal" refers to the technology and process for transmitting the travel video to the user's available terminal and enabling it to be played.

[0406] System Overview

[0407] This invention combines an emotion engine with a system that allows users to freely input the places they want to go and the scenery they want to see, and generates individually customized travel plans and travel videos based on that information. The emotion engine recognizes the user's emotions and can adjust the plan to improve the quality of the travel experience. The system consists of the user's device, a server, a text generation AI, a video generation AI, and the emotion engine.

[0408] User's device

[0409] Users access the system using devices such as smartphones, tablets, and PCs. A dedicated app or website is provided, and after logging in, users can enter information such as the places they want to go, the scenery they want to see, and the activities they want to experience on the travel plan creation screen. For example, they can enter specific requests such as, "I want to go to Paris. I want to see the Eiffel Tower and the Louvre."

[0410] Server Roles

[0411] The server receives the travel preference data sent by the user, analyzes it, and extracts the necessary information. Based on the extracted data, it performs the following processes:

[0412] Text generation AI

[0413] The server passes the information entered by the user to a text generation AI, which then generates a detailed itinerary based on data such as "Destination: Paris, Tourist Attractions: Eiffel Tower, Louvre Museum." Specific software used includes OpenAI's GPT-3 model.

[0414] Emotion analysis

[0415] The generated travel plan is passed from the server to an emotion analysis engine. The emotion analysis engine analyzes the user's past viewing data and real-time reaction data (facial expressions, vocal tone, etc.) to identify the user's emotions. For example, if the user smiled a lot when watching a video of the Eiffel Tower in the past, the plan will be adjusted to emphasize those parts. The specific software used is Affectiva's SDK.

[0416] Video generation AI

[0417] The travel plan adjusted through sentiment analysis is then passed back to the server and sent to the video generation AI. The video generation AI searches the database for suitable video material based on the travel plan, selects it, and edits it. It then generates a high-quality travel video by adding scene transitions between each tourist spot, sound effects, and narration. AI technologies such as the DALL-E API are used to generate the video.

[0418] Travel video distribution

[0419] The generated travel video is delivered from the server to the user's device. The server provides the video in streaming or download format and sends a notification to the user. The user can tap the notification to launch the video player and watch the travel video.

[0420] Specific examples

[0421] For example, consider a case where a user inputs, "I want to visit New York. I want to see the Statue of Liberty and also visit Times Square." The server receives this information and passes it to a text generation AI to generate a detailed travel plan. The sentiment analysis engine then analyzes the user's emotions and, for example, adjusts the time spent at the Statue of Liberty or modifies the plan to emphasize the night view of Times Square. Finally, the video generation AI generates a travel video based on this information and distributes it to the user's device via the server.

[0422] In this way, the system provides a customized travel experience based on user input and emotional data.

[0423] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0424] Step 1:

[0425] User: The user accesses the dedicated app or website using a device (smartphone, tablet, PC) and logs in to their account. Once logged in, the travel plan creation screen appears. There, the user enters information about the places they want to go, the scenery they want to see, and the activities they want to experience. For example, they might enter, "I want to visit New York. I want to see the Statue of Liberty and Times Square." After completing the entry, they tap the send button.

[0426] Input: Information about the place you want to go, the scenery you want to see, and the activities you want to experience

[0427] Output: Travel preference data submitted

[0428] Step 2:

[0429] Server: The server receives the travel plan data sent by the user. The received data is first analyzed by a natural language processing module to extract keywords and information needed to create a detailed travel plan. The extracted data is then passed to a text generation AI.

[0430] Input: User's travel preference data

[0431] Output: Extracted data for creating a travel plan

[0432] Step 3:

[0433] Text generation AI: The server passes the extracted data to the text generation AI, which then generates a detailed travel plan based on this data. For example, it generates a plan such as "Two-day, one-night trip to New York, visiting the Statue of Liberty, and visiting Times Square."

[0434] Input: Extracted travel planning data

[0435] Output: Detailed itinerary information

[0436] Step 4:

[0437] Server: The server then passes the detailed travel plan received from the text generation AI to a sentiment analysis engine, which analyzes the user's past viewing data and real-time reaction data (facial expressions, tone of voice, etc.) to identify the user's emotions.

[0438] Input: Detailed travel plan information

[0439] Output: Instructions and data for sentiment analysis

[0440] Step 5:

[0441] Sentiment Analysis Engine: The sentiment analysis engine analyzes the user's emotions using their past viewing data and real-time reaction data. For example, if the user smiles a lot while watching a video of the Eiffel Tower, it will adjust the time spent visiting the Eiffel Tower to be longer. As a result, an adjusted itinerary is generated and sent back to the server.

[0442] Input: detailed travel plan information, user sentiment data

[0443] Output: Adjusted itinerary

[0444] Step 6:

[0445] Server: The server receives the adjusted itinerary from the sentiment analysis engine and passes it to the video generation AI, which is then instructed to generate specific videos based on the adjusted itinerary.

[0446] Input: Adjusted travel plan

[0447] Output: Video generation instruction data

[0448] Step 7:

[0449] Video Generation AI: Based on the adjusted travel plan received from the server, the video generation AI searches the database for relevant video material. It selects the necessary video material and edits it by adding scene transitions between tourist spots, sound effects, and narration. A high-quality travel video is generated and sent to the server.

[0450] Input: Adjusted travel plan

[0451] Output: High-quality travel videos

[0452] Step 8:

[0453] Server: The server receives the travel video sent from the video generation AI and converts it into a format that can be distributed to the user's device. A notification is sent to the user's device when the video is ready.

[0454] Input: High-quality travel videos

[0455] Output: Travel videos that can be distributed, notification data

[0456] Step 9:

[0457] Device: The user's device receives the notification from the server and displays a notification to the user that the video is ready. When the user taps the notification, the video player launches and the video begins streaming or downloading.

[0458] Input: Notification data

[0459] Output: Video play action

[0460] Step 10:

[0461] Users: Users can enjoy a simulated travel experience by watching travel videos generated on their device. While watching, they can enjoy narration, subtitles, and scenes adjusted by the emotion engine, which enhances the experience.

[0462] Input: Video play action

[0463] Output: User's travel experience

[0464] (Application example 2)

[0465] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0466] Conventional travel planning and video generation systems have difficulty in flexibly changing plans and personalizing them in response to user emotions. This has led to issues such as not being able to provide users with the travel experience they truly want to enjoy, and the quality of the content being fixed.

[0467] The specification processing by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for inputting places the user wants to go and scenery they want to see, text generation means for receiving the information input by the user and generating a travel plan, emotion recognition means for recognizing the user's emotions in real time and adjusting the travel plan, video generation means for generating travel videos based on the adjusted travel plan, and means for delivering the generated travel videos to the user's terminal. This makes it possible to flexibly change the travel plan in response to the user's emotions and generate high-quality travel videos.

[0468] A "user" is an individual who uses the system to generate travel plans and travel videos.

[0469] The "means for inputting the place you want to go and the scenery you want to see" is a device or software that provides an interface for the user to input the place you want to go and the scenery you want to see.

[0470] The "text generation means for receiving and generating a travel plan" is a system that uses natural language processing technology to automatically generate a travel plan based on information entered by a user.

[0471] "Emotion recognition means" refers to a device or software that analyzes and recognizes emotions in real time from a user's facial expressions, tone of voice, touch operations, etc.

[0472] "Video generation means for generating travel videos" refers to a device or software that searches for and selects video materials based on a coordinated travel plan, and then edits and adds sound effects and commentary to generate travel videos.

[0473] "Means for delivering the generated travel footage to the user's terminal" means a device or software for providing the generated travel footage to the user's terminal in a streaming or downloadable format.

[0474] The term "system" refers to a set of devices and software that includes these means and operates in conjunction with each other.

[0475] This invention relates to a system that allows users to input the places they want to go and the scenery they want to see, and generates individually customized travel plans and travel videos based on that information. The system incorporates an emotion recognition function that recognizes the user's emotions and adjusts the plan to improve the quality of the travel experience. The system consists of a user terminal, a server, a text generation AI, a video generation AI, and an emotion recognition engine.

[0476] System Overview

[0477] 1. User Device:

[0478] It provides an interface for users to input the places they want to go and the scenery they want to see, and is usually used on a smartphone, tablet, or PC.

[0479] 2. Server:

[0480] It has a text generator to receive input information and generate a travel itinerary, with the primary software used here being a generative AI model such as OpenAI's GPT-3.

[0481] The app is equipped with an emotion recognition engine that uses facial expression analysis, voice tone analysis, and touch operation analysis to recognize users' emotions in real time and adjust travel plans accordingly.

[0482] It has a video generation means for generating travel videos based on the adjusted travel plan. Video generation includes video material search, selection, editing, and adding sound effects and commentary, and for this purpose, a specific video generation AI (such as Deep Dream Generator) is used.

[0483] It also has the function to distribute the generated travel footage to the user's device.

[0484] These features provide the following benefits:

[0485] Specific examples

[0486] User's New York travel plans

[0487] user:

[0488] "I want to visit New York. I want to see the Statue of Liberty and visit Times Square."

[0489] Input Interface:

[0490] Users simply enter "New York, Statue of Liberty, Times Square" into a dedicated application on their smartphone.

[0491] server:

[0492] It receives the input information and generates a detailed travel plan using OpenAI GPT-3.

[0493] Emotion Recognition Engine:

[0494] Next, the system analyzes the user's emotions based on their past video viewing history and real-time emotional data (e.g., facial expression analysis, voice tone analysis, touch operation analysis) and adjusts the travel plan accordingly. For example, if the user prefers night views, the system will adjust the time to visit Times Square at night.

[0495] Video generation AI:

[0496] Based on the tailored travel plan, video footage is searched, edited, and sound effects and commentary are added to generate high-quality travel footage.

[0497] Delivery Method:

[0498] The generated travel footage is delivered to the user's device via streaming or download.

[0499] Prompt Sentence Examples

[0500] text

[0501] Create a detailed travel plan for: New York, visit the Statue of Liberty, and Times Square.

[0502] Based on the user's emotional state (happy), adjust the travel plan: 1-day trip in New York, visit the Statue of Liberty, and explore Times Square in the evening.

[0503] This allows users to enjoy a realistic travel experience through personalized travel plans and travel videos that are tailored to their specific needs and emotions. This system provides convenience and enjoyment to people who have difficulty traveling.

[0504] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0505] Step 1:

[0506] Users input the places they want to go and the scenery they want to see. Using a device such as a smartphone or tablet, users input the places they want to go and the scenery they want to see into the input form within the dedicated application, and then send that information to the server.

[0507] Step 2:

[0508] The server receives and analyzes the data sent by the user. The server receives the travel desire data (places to go and scenery to see) entered by the user and sends it to the text generation AI. The text generation AI then analyzes the data as prompts to generate a travel plan.

[0509] Step 3:

[0510] A text generation AI creates a detailed travel plan. The server sends prompts based on the user's input data to a generative AI model such as OpenAI's GPT-3, which generates a detailed travel plan including the order of sightseeing spots, duration of stay, and recommended activities.

[0511] Step 4:

[0512] The server analyzes the generated travel plan using an emotion recognition engine. The server sends the generated travel plan to the emotion recognition engine, which analyzes the user's emotions based on the user's input information and real-time emotion data (e.g., facial expression analysis, voice tone analysis, touch operation analysis).

[0513] Step 5:

[0514] The emotion recognition engine adjusts the travel plan. The emotion recognition engine adjusts the travel plan based on the analyzed user's emotional data. For example, if the user likes night views, the engine will increase nighttime activities or change the duration of stays.

[0515] Step 6:

[0516] The server sends the adjusted travel plan to the video generation AI. The server provides the adjusted travel plan to the video generation AI, and the video generation AI begins work to generate travel videos.

[0517] Step 7:

[0518] The video generation AI searches, selects, and edits video footage. The video generation AI searches, selects, and edits relevant video footage from a database. It then adds scene transitions, sound effects, and commentary to create a travel video.

[0519] Step 8:

[0520] The generated travel video is sent to the server. The video generation AI sends the completed travel video to the server, which then converts it into a format that can be distributed to the user's device.

[0521] Step 9:

[0522] The server sends a notification to the user's device and delivers the travel video. The server notifies the user's device that the generated travel video is ready, and then delivers the travel video to the user's device in streaming or download format.

[0523] Step 10:

[0524] The user watches the travel video on the device. The user can check the notification and play the travel video on the device to enjoy a personalized travel experience.

[0525] 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.

[0526] 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> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. 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 voice, text data indicating text, and image data indicating an image is also input. 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.

[0527] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0528] [Second embodiment]

[0529] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0530] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0531] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the 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).

[0532] 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.

[0533] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0534] 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 surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0535] 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.

[0536] 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.

[0537] 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 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.

[0538] 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.

[0539] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0540] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0541] System Overview

[0542] This invention is a system that allows users to freely input the places they want to go and the scenery they want to see, and generates individually customized travel plans and travel videos based on that information. The system consists of the user's device, a server, a text generation AI, and a video generation AI.

[0543] Explanation of program processing

[0544] User-created plans

[0545] 1. User:

[0546] Users access a dedicated app or website from their own device (smartphone, tablet, PC, etc.) and log in.

[0547] After logging in, enter the places you want to go, the scenery you want to see, the activities you want to experience, etc. on the travel plan creation screen.

[0548] These input information are sent.

[0549] Plan acceptance and processing on the server

[0550] 2. Server:

[0551] Receives user input, analyzes it, and extracts the required data.

[0552] The extracted data is passed to a text generation AI, which is then instructed to generate a detailed travel plan.

[0553] Receive a detailed travel plan from the text generation AI and confirm the contents.

[0554] Travel video generation

[0555] 3. Server:

[0556] Based on a detailed travel plan, instructions are given to the video generation AI to generate the video.

[0557] 4. Video generation AI:

[0558] Based on the designated travel plan, search for and select the appropriate video material.

[0559] Edit footage and combine it with sound effects and narration to create a travel video.

[0560] The generated travel video is sent to the server.

[0561] Providing travel videos

[0562] 5. Server:

[0563] It receives travel videos and converts them into a format that can be delivered to the user's device.

[0564] Sends a notification to the user that the video is ready.

[0565] 6. Terminal:

[0566] Receive notifications and play travel videos based on user instructions.

[0567] User travel experience

[0568] 7. Users:

[0569] You can watch travel videos on your device and enjoy a simulated travel experience.

[0570] Specific examples

[0571] Example 1: Trip to New York

[0572] user:

[0573] "I want to visit New York. I want to see the Statue of Liberty and visit Times Square."

[0574] Device:

[0575] Users simply enter "New York, Statue of Liberty, Times Square" into a dedicated app and send it.

[0576] server:

[0577] It receives input information and passes it to a text generation AI to generate a detailed travel plan, including specific details such as "a two-day, one-night trip to New York, visiting the Goddess of Merit, and visiting Times Square."

[0578] Video generation AI:

[0579] Based on the travel plan, video footage of the Statue of Liberty and Times Square is searched, selected, and edited to create a travel video.

[0580] server:

[0581] The generated travel video is delivered to the user's device.

[0582] Device:

[0583] Users can receive and play travel videos to simulate a trip to New York.

[0584] In this way, users can enjoy a realistic travel experience through travel videos customized to their specific needs.The system makes travelling convenient and enjoyable even for people who have difficulty traveling.

[0585] The processing flow will be explained below.

[0586] Step 1:

[0587] user:

[0588] Access the dedicated app or website from your device (e.g. smartphone, tablet, PC) and enter your user ID and password to log in to the system.

[0589] After logging in, go to the "Create a Travel Plan" screen from the menu.

[0590] Enter the places you want to go, the scenery you want to see, the activities you want to experience, etc. in the text box.

[0591] Once you have completed the input, press the "Submit" button to send the data to the server.

[0592] Step 2:

[0593] server:

[0594] Receive travel preference data sent by users.

[0595] The received data is analyzed and information such as places you want to go, scenery you want to see, and activities you want to do is extracted.

[0596] Based on the extracted information, the text generation AI is instructed to create a travel plan.

[0597] Step 3:

[0598] Text generation AI:

[0599] It receives data sent from the server and automatically generates a detailed travel plan including the order of each tourist spot, the duration of stay, recommended activities, etc.

[0600] The generated travel plan is returned to the server.

[0601] Step 4:

[0602] server:

[0603] The travel plan received from the text generation AI is checked and sent to the video generation AI, instructing it to generate a travel video.

[0604] Step 5:

[0605] Video generation AI:

[0606] The content of the generated travel plan is received and the corresponding video material is searched for in the database.

[0607] The searched video material is selected and edited by adding scene transitions between tourist spots, sound effects, narration, etc.

[0608] High-quality travel videos are generated and sent to a server.

[0609] Step 6:

[0610] server:

[0611] It receives travel videos sent from the video generation AI and converts them into a format that can be distributed to the user's device.

[0612] Sends a notification to the user's device that the video is ready.

[0613] Step 7:

[0614] Device:

[0615] Displays notifications received from the server.

[0616] When the user taps on the notification, a video player will launch and play the travel video, either by streaming or downloading.

[0617] Step 8:

[0618] user:

[0619] Enjoy a simulated travel experience by watching travel videos played on the device's video player.

[0620] While watching, you can use options like narration and subtitles to enhance your experience.

[0621] The above are the detailed processing steps of this system, which allows users to enjoy a realistic travel experience from the comfort of their own home.

[0622] Example 1

[0623] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0624] Conventional travel plan and travel video generation systems lack the ability to quickly and effectively generate travel plans and travel videos that meet detailed, customized user requirements. Furthermore, there is no consistent process for creating travel plans and travel videos, making it difficult to provide users with an optimal experience. Therefore, there is a need for a system that can efficiently and accurately generate customized travel plans and travel videos that meet users' requests.

[0625] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0626] In this invention, the server includes means for inputting the places the user wants to go and the scenery they want to see, means for receiving and analyzing the information input by the user, means for generating a detailed travel plan based on the analyzed data, means for searching for and selecting appropriate video material based on the generated detailed travel plan, and for generating a travel video by editing and combining sound effects and narration, and means for delivering the generated travel video to the user's terminal. This makes it possible to consistently and efficiently generate travel plans and travel videos based on the user's customized detailed requirements, and provide the user with the best simulated travel experience.

[0627] "User" means a person or individual who uses the system to request the generation of a travel plan and travel video.

[0628] The "server" is a computer system that receives and analyzes information input by users and generates comprehensive travel plans and travel videos in cooperation with the text generation means and video generation means.

[0629] A "text generation means" is an artificial intelligence (e.g., natural language generation model) or processing means for generating a detailed travel plan based on information provided by a user.

[0630] The "video generation means" refers to the function and processing means for searching for and selecting relevant video material based on the generated detailed travel plan, editing it, and combining sound effects and narration to generate a travel video.

[0631] A "trip plan" is a detailed, comprehensive plan of the places you want to go, the sights you want to see, the activities you want to experience, etc.

[0632] "Travel Video" means visual and audio content created based on a user's desired travel plan, intended to provide a virtual travel experience.

[0633] "Input means" refers to the interface (e.g., application, web form) and processing means used by the user to input information such as the place they want to go and the scenery they want to see.

[0634] The "means for receiving and analyzing information" refers to a processing means for receiving information sent from a user, analyzing it, and extracting data necessary for creating a travel plan.

[0635] The "distribution means" refers to the function and processing means for converting the generated travel video into a format suitable for the user's terminal and transmitting it to the user.

[0636] MODE FOR CARRYING OUT THE INVENTION

[0637] This invention is a system that allows users to freely input the places they want to go and the scenery they want to see, and generates individually customized travel plans and travel videos based on that information. The system consists of the user's device, a server, a text generation AI, and a video generation AI.

[0638] System configuration

[0639] User's device:

[0640] Users access a dedicated app or website using a device such as a smartphone, tablet, or PC, and can input information such as the places they want to go, the scenery they want to see, and the activities they want to experience.

[0641] server:

[0642] The server receives and analyzes the information entered by the user. The following functional modules are located on the server:

[0643] 1. Text generation AI (e.g. OpenAI GPT-3):

[0644] The server uses text generation AI to generate a detailed travel plan based on the information provided by the user, including specific travel itineraries, tourist information, and recommended activities according to the prompts received.

[0645] 2. Video generation AI (e.g., Synthesia and Pictory):

[0646] Based on the detailed travel plan generated by the text generation AI, the video generation AI searches for and selects the appropriate video material, then edits the footage as needed and combines sound effects and narration to create a travel video.

[0647] Travel video streaming:

[0648] The generated travel video is delivered from the server to the user's device, where it is converted into a format suitable for the user's device and notifies the user that the video is ready.

[0649] User experience:

[0650] Users can receive notifications and watch travel videos on their devices, allowing them to enjoy a simulated travel experience.

[0651] Specific examples

[0652] Example 1: Trip to New York

[0653] Let's say a user enters "New York, Statue of Liberty, Times Square" into a dedicated app and sends it.

[0654] Example prompt sentence:

[0655] "Please create a detailed itinerary for my trip to New York. I'd like a two-day, one-night plan that includes a visit to the Statue of Liberty and Times Square."

[0656] Text generation AI:

[0657] The server passes the input information to a text generation AI (e.g., OpenAI GPT-3), which generates a detailed travel plan based on the prompt, such as "New York, 1 night, 2 days: visit the Statue of Liberty on the first day, and Times Square on the second day."

[0658] Video generation AI:

[0659] Based on a detailed travel plan, a video generation AI (e.g., Synthesia or Pictory) searches, selects, and edits footage of the Statue of Liberty and Times Square, stitching the clips together and adding sound effects and narration to create a complete travel video.

[0660] Travel video streaming:

[0661] The generated travel video is delivered from the server to the user's device. The user receives a notification and can watch the travel video on their device to experience a simulated trip to New York.

[0662] In this way, users can enjoy a realistic travel experience through travel videos customized to their specific needs.The system makes travelling convenient and enjoyable even for people who have difficulty traveling.

[0663] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0664] Program processing steps

[0665] Step 1:

[0666] user:

[0667] Users access a dedicated app or website from their smartphone, tablet, PC, or other device and log in.

[0668] Using the interface on the device to input information about your travel destination, you can enter specific details about the places you want to go, the scenery you want to see, and the activities you want to experience.

[0669] Example: "New York, Statue of Liberty, Times Square, 2 days, 1 night"

[0670] Click the send button to send the entered information to the server.

[0671] Input: Travel information such as places you want to go, sights you want to see, activities you want to experience, etc.

[0672] Output: Travel preference information sent to the server

[0673] Step 2:

[0674] server:

[0675] Receive travel preferences sent by users.

[0676] The data processing engine is used to analyze the received data and extract the information necessary to create a travel plan.

[0677] Specific data processing: Using natural language processing, elements such as place names, tourist spots, and time periods are extracted from the input data.

[0678] Input: Travel preference information submitted by the user

[0679] Output: Extracted element data for creating a travel plan

[0680] Step 3:

[0681] server:

[0682] The extracted data is fed as prompts to a text generation AI (e.g., OpenAI GPT-3) to generate a detailed travel plan.

[0683] Example prompt: "Please create a detailed itinerary for a trip to New York. I'd like a two-day, one-night plan that includes a visit to the Statue of Liberty and Times Square."

[0684] Based on the prompt, the text generation AI generates a detailed plan including the itinerary, order of sightseeing spots, length of stay, and recommended activities.

[0685] Input: Extracted element data for creating a travel plan, prompt text

[0686] Output: A detailed itinerary

[0687] Step 4:

[0688] server:

[0689] It receives a detailed travel plan and passes it to a video generation AI (e.g., Synthesia or Pictory) to generate a video.

[0690] The video generation AI searches for and selects the appropriate video material according to the received plan.

[0691] Specific data processing: Selecting relevant video clips from the video bank and selecting the most suitable scenes.

[0692] Input: Detailed travel plan

[0693] Output: Selecting and clipping footage

[0694] Step 5:

[0695] Video generation AI:

[0696] The selected footage is edited and sound effects and narration are added to create a travel video.

[0697] What you'll do: Stitch together video clips, add narration, and place sound effects where appropriate to complete the video.

[0698] Input: Selected footage

[0699] Output: Generated travel video

[0700] Step 6:

[0701] server:

[0702] Receives travel videos generated by the video generation AI and converts them into a format suitable for the user's device (e.g., MP4).

[0703] After the format conversion, the video is ready to be distributed to the user's device.

[0704] Input: Generated travel video

[0705] Output: Travel videos in device-compatible format

[0706] Step 7:

[0707] server:

[0708] Sends a notification to the user that their travel video is ready.

[0709] You will be notified via push notification or email that your travel video is ready.

[0710] Input: Travel videos in device-compatible format

[0711] Output: Ready notification to user

[0712] Step 8:

[0713] Device:

[0714] Receive notifications and play travel videos based on user instructions.

[0715] Specific behavior: The user presses the play button in the app and the video plays on the device.

[0716] Input: Ready notification, travel video in device-compatible format

[0717] Output: Played travel video

[0718] Step 9:

[0719] user:

[0720] Watch travel videos on your device and enjoy a simulated travel experience.

[0721] Input: Travel video played

[0722] Output: The user's viewing experience

[0723] This allows users to enjoy a realistic travel experience through travel videos customized based on their specific requirements.

[0724] (Application example 1)

[0725] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0726] Conventional travel plan generation systems only provide travel plans based on user input information, making it difficult to customize them to meet the individual preferences and needs of each user. Furthermore, the travel videos based on the provided travel plans are limited and lack realism and reality. Furthermore, since some users find it difficult to travel in person, there is a need for a more realistic virtual travel experience. There is a need to solve these issues and provide users with a more satisfying, customized travel experience.

[0727] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0728] In this invention, the server includes means for a user to input places they want to go and scenery they want to see, a text generation means for receiving the information input by the user and generating a travel plan, a video generation means for generating a travel video based on the generated travel plan, a means for delivering the generated travel video to the user's terminal, a means for customizing the travel plan and travel video based on the user's preferences, and a means for providing a virtual travel experience using a virtual reality device. This allows a user to obtain a customized travel plan that suits their preferences and enjoy a realistic virtual travel experience based on that plan with highly realistic videos.

[0729] "Means for users to input the places they want to go and the scenery they want to see" refers to an interface that allows users to specify their desired travel destinations and the scenery they want to see, and provide that information to the system.

[0730] A "text generator" is a system component that includes artificial intelligence technology for automatically generating a detailed travel itinerary based on information received from a user.

[0731] The "video generation means" is a system component that searches for and edits video material corresponding to the generated travel plan to generate a travel video.

[0732] "Means for delivering the generated travel video to the user's device" refers to the mechanism for sending the completed travel video to various digital devices owned by the user (e.g., smartphone, tablet, PC).

[0733] "Means for customizing travel plans and travel videos based on user preferences" means a system component that individually adjusts and modifies travel plans and corresponding travel videos according to a user's individual preferences and needs.

[0734] "Means for providing a virtual travel experience using a virtual reality device" refers to a mechanism for displaying the generated travel video on a device compatible with virtual reality technology (e.g., a VR headset) to provide users with a virtual travel experience.

[0735] "Order, duration of stay at each tourist spot, and recommended activities" refers to the order in which the tourist spots are visited in the travel plan, the duration of stay at each spot, and the recommended activities at each spot.

[0736] "Searching, selecting, editing and combining sound effects and narration to create a travel video" refers to the process of finding, selecting and organizing suitable footage, and then adding sound effects and audio narration to create a complete travel video.

[0737] Videos "optimized for viewing on virtual reality devices" refer to video content that has been specially adjusted and edited to be compatible with VR technology and optimized to provide users with an immersive visual and auditory experience through a VR headset or similar device.

[0738] This invention relates to a system that generates customized travel plans and travel videos based on user input of places to go and scenery to see. The system mainly consists of a user terminal, a server, text generation AI, video generation AI, and a virtual reality device.

[0739] System Program

[0740] User-provided input information

[0741] Users use a dedicated app or web browser to input the places they want to go, the scenery they want to see, and the activities they want to experience. This information is sent from the user's device to the server.

[0742] Plan generation on the server

[0743] The server analyzes the input information received from the user and extracts relevant data, which is then passed to a text generation AI (e.g., OpenAI GPT-4) to generate a detailed itinerary, including the order of visits, duration of stays, and recommended activities for each tourist spot.

[0744] Travel video generation

[0745] The generated travel plan is passed to a video generation AI (e.g., Synthesia), which searches for and selects corresponding video material. The video generation AI then edits these materials and combines them with sound effects and narration to generate a travel video that is optimized for viewing on a virtual reality device.

[0746] Providing videos to users

[0747] The server delivers the generated travel video to the user's device, which then converts the received video into a viewable format and provides it to the user. The user can then use a virtual reality device to enjoy an immersive virtual travel experience.

[0748] Hardware and software used

[0749] User devices: smartphones, tablets, PCs.

[0750] Server: Hosting of data analysis and generative AI models.

[0751] Text generation AI: Text generation models such as OpenAI GPT-4.

[0752] Video generation AI: Video generation models such as Synthesia.

[0753] Virtual reality devices: VR headsets (e.g., Oculus Quest, HTC Vive).

[0754] Examples of concrete examples and prompts

[0755] Specific examples

[0756] The user enters the following through a dedicated app:

[0757] "I want to go to Kyoto. I want to see Kinkaku-ji Temple and visit Gion."

[0758] The server receives the information entered and sends the following prompt to the text generation AI:

[0759] "The user wants to travel to Kyoto. Please generate a 2-day, 1-night Kyoto itinerary that includes Kinkakuji Temple and Gion."

[0760] Based on the generated itinerary, the server sends the following prompts to the video generation AI:

[0761] "Based on the user's desired Kyoto travel plan, please select footage of Kinkakuji Temple and Gion and generate a two-day, one-night travel video."

[0762] This allows users to obtain a customized travel plan that suits their preferences, and to enjoy an immersive virtual travel experience based on that plan with highly realistic video.

[0763] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0764] Step 1:

[0765] The user inputs the place they want to go and the scenery they want to see.

[0766] Input: A user uses a dedicated app or web browser to enter information such as, "I want to go to Kyoto. I want to see Kinkaku-ji Temple and also visit Gion."

[0767] What it does: A user enters data into an in-app form and presses the "Submit" button.

[0768] Output: Input information is sent from the user's device to the server.

[0769] Step 2:

[0770] The server analyzes the information received from the user.

[0771] Input: Travel preferences entered by the user.

[0772] How it works: The server uses text analysis algorithms to extract important keywords from the received data, such as destinations and views you want to see. Natural language processing (NLP) techniques are used in this process to accurately understand the user's intent.

[0773] Output: The parsed information is formatted in a format that can be passed to the text generation AI.

[0774] Step 3:

[0775] Text generation AI generates detailed travel plans.

[0776] Input: Parsed user information passed from the server.

[0777] How it works: Based on details of the user's desired travel destinations and activities, a text generation AI (e.g., OpenAI GPT-4) generates a travel plan including the travel schedule, order of visits, recommended activities, etc. During this process, the AI ​​model references a trained database to automatically generate the optimal plan.

[0778] Output: The generated detailed travel plan is returned to the server.

[0779] Step 4:

[0780] The server issues instructions to the video generation AI based on the generated travel plan.

[0781] Input: A detailed travel plan from a text generation AI.

[0782] How it works: The server analyzes the generated travel plan and creates a specific prompt for the video generation AI. The prompt might be something like, "Based on the user's desired Kyoto travel plan, please select footage of Kinkakuji Temple and Gion and generate a two-day, one-night travel video."

[0783] Output: Prompt text passed to the video generation AI.

[0784] Step 5:

[0785] Video generation AI generates travel videos.

[0786] Input: Prompt text from the server.

[0787] How it works: Based on a prompt, the video generation AI (e.g., Synthesia) searches and selects relevant video material from a database and edits the video. During the editing process, sound effects and narration are added as needed, creating a video optimized for viewing on a virtual reality device.

[0788] Output: The completed travel video is sent to the server.

[0789] Step 6:

[0790] The server delivers the generated travel video to the user's device.

[0791] Input: Travel videos sent from a video generation AI.

[0792] How it works: The server converts the received video into a format that can be played on the user's device and delivers the video. During this process, the user is notified that the video is ready.

[0793] Output: Travel video delivered to the user's device.

[0794] Step 7:

[0795] Users watch the travel videos that are distributed.

[0796] Input: Travel videos and notifications delivered from the server.

[0797] How it works: Users play travel videos on their devices and enjoy an immersive virtual travel experience by putting on a virtual reality device. Specifically, they put on a VR headset, view the videos in 360 degrees, and experience a simulated travel experience.

[0798] Output: A satisfying virtual travel experience where users watch travel videos.

[0799] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0800] System Overview

[0801] This invention combines an emotion engine with a system that allows users to freely input the places they want to go and the scenery they want to see, and generates individually customized travel plans and travel videos based on that information. The emotion engine recognizes the user's emotions and can adjust the plan to improve the quality of the travel experience. The system consists of the user's device, a server, a text generation AI, a video generation AI, and the emotion engine.

[0802] Explanation of program processing

[0803] User-created plans

[0804] 1. User:

[0805] Access the dedicated app or website from your device (e.g. smartphone, tablet, PC) and log in.

[0806] After logging in, enter the places you want to go, the scenery you want to see, the activities you want to experience, etc. on the travel plan creation screen.

[0807] These input information are sent.

[0808] Plan acceptance and processing on the server

[0809] 2. Server:

[0810] Receive travel preference data sent by users.

[0811] Analyze the received data and extract the necessary information.

[0812] The extracted data is passed to a text generation AI, which is then instructed to generate a detailed travel plan.

[0813] Emotion recognition and plan adjustment using an emotion engine

[0814] 3. Server:

[0815] The travel plan received from the text generation AI is analyzed by an emotion engine, and emotions are recognized based on the user's input information and reactions while watching the video.

[0816] 4. Emotion Engine:

[0817] It recognizes emotions by analyzing a variety of data, such as the user's facial expressions, tone of voice, and touch operations.

[0818] Based on the emotions detected, travel plans are tailored to the user's interests.

[0819] The adjusted travel plan is sent to the server.

[0820] Travel video generation

[0821] 5. Server:

[0822] Based on the adjusted travel plan, instructions for video generation are given to the video generation AI.

[0823] 6. Video generation AI:

[0824] Based on the designated travel plan, the database is searched for relevant video material.

[0825] The searched video material is selected and edited by adding scene transitions between tourist spots, sound effects, narration, etc.

[0826] High-quality travel videos are generated and sent to a server.

[0827] Providing travel videos

[0828] 7. Server:

[0829] It receives travel videos sent from the video generation AI and converts them into a format that can be distributed to the user's device.

[0830] Sends a notification to the user's device that the video is ready.

[0831] 8. Terminal:

[0832] Displays notifications received from the server.

[0833] When the user taps on the notification, a video player will launch and play the travel video, either by streaming or downloading.

[0834] User travel experience

[0835] 9. Users:

[0836] You can watch travel videos on your device and enjoy a simulated travel experience.

[0837] While watching, you can enjoy a deeper experience with narration, subtitles, and emotional engine tuning options.

[0838] Specific examples

[0839] Example 1: Trip to New York

[0840] User: "I want to visit New York. I want to see the Statue of Liberty and visit Times Square."

[0841] Device:

[0842] Users simply enter "New York, Statue of Liberty, Times Square" into a dedicated app and send it.

[0843] server:

[0844] It receives input information and passes it to a text generation AI to generate a detailed travel plan.

[0845] The plan includes specific details such as "a two-day, one-night trip to New York, visiting the Statue of Liberty, and visiting Times Square."

[0846] Emotion Engine:

[0847] The app analyzes user input and emotions from videos the user has watched in the past, and adjusts the itinerary based on the results, for example, changing the time spent at the Statue of Liberty or focusing on the night view of Times Square.

[0848] Video generation AI:

[0849] Based on the tailored travel plan, footage of the Statue of Liberty and Times Square is searched, selected, and edited to create a travel video.

[0850] server:

[0851] The generated travel video is delivered to the user's device.

[0852] Device:

[0853] Users can receive and play travel videos to simulate a trip to New York.

[0854] In this way, users can enjoy a realistic travel experience through travel videos that are customized according to their specific needs and emotions. This system provides convenience and enjoyment to people who have difficulty traveling.

[0855] The processing flow will be explained below.

[0856] Step 1:

[0857] user:

[0858] Access the dedicated app or website from your device (e.g. smartphone, tablet, PC) and enter your user ID and password to log in to the system.

[0859] After logging in, enter the places you want to go, the scenery you want to see, the activities you want to experience, etc. into the text boxes on the travel plan creation screen.

[0860] Once you have completed the input, press the "Submit" button to send the data to the server.

[0861] Step 2:

[0862] server:

[0863] Receive travel preference data sent by users.

[0864] The received data is analyzed and information such as places you want to go, scenery you want to see, and activities you want to do is extracted.

[0865] Based on the extracted information, the text generation AI is instructed to create a travel plan.

[0866] Step 3:

[0867] Text generation AI:

[0868] It receives data sent from the server and automatically generates a detailed travel plan including the order of each tourist spot, the duration of stay, recommended activities, etc.

[0869] The generated travel plan is returned to the server.

[0870] Step 4:

[0871] server:

[0872] It checks the travel plan received from the text generation AI and sends it to the emotion engine to analyze the user's emotions.

[0873] Step 5:

[0874] Emotion Engine:

[0875] It recognizes the user's emotions by analyzing a variety of data, including user input information, past viewing history, facial expressions, voice tone, and touch operations.

[0876] Based on the emotions detected, travel plans are tailored to the user's interests.

[0877] The adjusted travel plan is sent to the server.

[0878] Step 6:

[0879] server:

[0880] Based on the adjusted travel plan, instructions for video generation are given to the video generation AI.

[0881] Step 7:

[0882] Video generation AI:

[0883] Based on the designated travel plan, the database is searched for relevant video material.

[0884] The searched video material is selected and edited by adding scene transitions between tourist spots, sound effects, narration, etc.

[0885] High-quality travel videos are generated and sent to a server.

[0886] Step 8:

[0887] server:

[0888] It receives travel videos sent from the video generation AI and converts them into a format that can be distributed to the user's device.

[0889] Sends a notification to the user's device that the video is ready.

[0890] Step 9:

[0891] Device:

[0892] Displays notifications received from the server.

[0893] When the user taps on the notification, a video player will launch and play the travel video, either by streaming or downloading.

[0894] Step 10:

[0895] user:

[0896] Enjoy a simulated travel experience by watching travel videos played on the device's video player.

[0897] While watching, you can enjoy narration, subtitles and emotional engine tuning options for a richer experience.

[0898] The above are the detailed processing steps of this system, which allows users to enjoy a realistic travel experience from the comfort of their own home.

[0899] Example 2

[0900] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0901] Conventional travel plan generation systems can provide travel plans based on user input, but they do not fully reflect the user's emotions and interests. This makes it difficult to provide a truly enjoyable, customized travel experience. Furthermore, even when generating travel videos based on travel plans, the system is unable to make fine adjustments to meet the user's requests, resulting in a disappointing experience.

[0902] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0903] In this invention, the server includes a means for inputting the places the user wants to go and the scenery they want to see, a text generation means for receiving the information input by the user and generating a travel plan, a sentiment analysis means for analyzing the user's sentiment and making adjustments to the generated travel plan, and a video generation means for generating a travel video based on the adjusted travel plan. This makes it possible to provide a customized travel plan that reflects the user's sentiments and interests, and a high-quality travel video based on that travel plan.

[0904] "Means for users to input places they want to go and scenery they want to see" is an interface that allows users to freely input information about their desired travel destinations, tourist spots, etc.

[0905] "Text generation means for receiving information entered by a user and generating a travel plan" refers to artificial intelligence technology and processes for automatically creating a travel plan based on information entered by a user.

[0906] "Emotion analysis means for analyzing user emotions and adjusting generated travel plans" refers to the technology and process for analyzing a user's emotions and interests and adaptively adjusting the travel plan based on those emotions and interests.

[0907] The "video generation means for generating travel videos based on an adjusted travel plan" refers to an artificial intelligence technology and process for creating travel videos according to an improved travel plan.

[0908] The "means for delivering the generated travel video to the user's terminal" refers to the technology and process for transmitting the travel video to the user's available terminal and enabling it to be played.

[0909] System Overview

[0910] This invention combines an emotion engine with a system that allows users to freely input the places they want to go and the scenery they want to see, and generates individually customized travel plans and travel videos based on that information. The emotion engine recognizes the user's emotions and can adjust the plan to improve the quality of the travel experience. The system consists of the user's device, a server, a text generation AI, a video generation AI, and the emotion engine.

[0911] User's device

[0912] Users access the system using devices such as smartphones, tablets, and PCs. A dedicated app or website is provided, and after logging in, users can enter information such as the places they want to go, the scenery they want to see, and the activities they want to experience on the travel plan creation screen. For example, they can enter specific requests such as, "I want to go to Paris. I want to see the Eiffel Tower and the Louvre."

[0913] Server Roles

[0914] The server receives the travel preference data sent by the user, analyzes it, and extracts the necessary information. Based on the extracted data, it performs the following processes:

[0915] Text generation AI

[0916] The server passes the information entered by the user to a text generation AI, which then generates a detailed itinerary based on data such as "Destination: Paris, Tourist Attractions: Eiffel Tower, Louvre Museum." Specific software used includes OpenAI's GPT-3 model.

[0917] Emotion analysis

[0918] The generated travel plan is passed from the server to an emotion analysis engine. The emotion analysis engine analyzes the user's past viewing data and real-time reaction data (facial expressions, vocal tone, etc.) to identify the user's emotions. For example, if the user smiled a lot when watching a video of the Eiffel Tower in the past, the plan will be adjusted to emphasize those parts. The specific software used is Affectiva's SDK.

[0919] Video generation AI

[0920] The travel plan adjusted through sentiment analysis is then passed back to the server and sent to the video generation AI. The video generation AI searches the database for suitable video material based on the travel plan, selects it, and edits it. It then generates a high-quality travel video by adding scene transitions between each tourist spot, sound effects, and narration. AI technologies such as the DALL-E API are used to generate the video.

[0921] Travel video distribution

[0922] The generated travel video is delivered from the server to the user's device. The server provides the video in streaming or download format and sends a notification to the user. The user can tap the notification to launch the video player and watch the travel video.

[0923] Specific examples

[0924] For example, consider a case where a user inputs, "I want to visit New York. I want to see the Statue of Liberty and also visit Times Square." The server receives this information and passes it to a text generation AI to generate a detailed travel plan. The sentiment analysis engine then analyzes the user's emotions and, for example, adjusts the time spent at the Statue of Liberty or modifies the plan to emphasize the night view of Times Square. Finally, the video generation AI generates a travel video based on this information and distributes it to the user's device via the server.

[0925] In this way, the system provides a customized travel experience based on user input and emotional data.

[0926] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0927] Step 1:

[0928] User: The user accesses the dedicated app or website using a device (smartphone, tablet, PC) and logs in to their account. Once logged in, the travel plan creation screen appears. There, the user enters information about the places they want to go, the scenery they want to see, and the activities they want to experience. For example, they might enter, "I want to visit New York. I want to see the Statue of Liberty and Times Square." After completing the entry, they tap the send button.

[0929] Input: Information about the place you want to go, the scenery you want to see, and the activities you want to experience

[0930] Output: Travel preference data submitted

[0931] Step 2:

[0932] Server: The server receives the travel plan data sent by the user. The received data is first analyzed by a natural language processing module to extract keywords and information needed to create a detailed travel plan. The extracted data is then passed to a text generation AI.

[0933] Input: User's travel preference data

[0934] Output: Extracted data for creating a travel plan

[0935] Step 3:

[0936] Text generation AI: The server passes the extracted data to the text generation AI, which then generates a detailed travel plan based on this data. For example, it generates a plan such as "Two-day, one-night trip to New York, visiting the Statue of Liberty, and visiting Times Square."

[0937] Input: Extracted travel planning data

[0938] Output: Detailed itinerary information

[0939] Step 4:

[0940] Server: The server then passes the detailed travel plan received from the text generation AI to a sentiment analysis engine, which analyzes the user's past viewing data and real-time reaction data (facial expressions, tone of voice, etc.) to identify the user's emotions.

[0941] Input: Detailed travel plan information

[0942] Output: Instructions and data for sentiment analysis

[0943] Step 5:

[0944] Sentiment Analysis Engine: The sentiment analysis engine analyzes the user's emotions using their past viewing data and real-time reaction data. For example, if the user smiles a lot while watching a video of the Eiffel Tower, it will adjust the time spent visiting the Eiffel Tower to be longer. As a result, an adjusted itinerary is generated and sent back to the server.

[0945] Input: detailed travel plan information, user sentiment data

[0946] Output: Adjusted itinerary

[0947] Step 6:

[0948] Server: The server receives the adjusted itinerary from the sentiment analysis engine and passes it to the video generation AI, which is then instructed to generate specific videos based on the adjusted itinerary.

[0949] Input: Adjusted travel plan

[0950] Output: Video generation instruction data

[0951] Step 7:

[0952] Video Generation AI: Based on the adjusted travel plan received from the server, the video generation AI searches the database for relevant video material. It selects the necessary video material and edits it by adding scene transitions between tourist spots, sound effects, and narration. A high-quality travel video is generated and sent to the server.

[0953] Input: Adjusted travel plan

[0954] Output: High-quality travel videos

[0955] Step 8:

[0956] Server: The server receives the travel video sent from the video generation AI and converts it into a format that can be distributed to the user's device. A notification is sent to the user's device when the video is ready.

[0957] Input: High-quality travel videos

[0958] Output: Travel videos that can be distributed, notification data

[0959] Step 9:

[0960] Device: The user's device receives the notification from the server and displays a notification to the user that the video is ready. When the user taps the notification, the video player launches and the video begins streaming or downloading.

[0961] Input: Notification data

[0962] Output: Video play action

[0963] Step 10:

[0964] Users: Users can enjoy a simulated travel experience by watching travel videos generated on their device. While watching, they can enjoy narration, subtitles, and scenes adjusted by the emotion engine, which enhances the experience.

[0965] Input: Video play action

[0966] Output: User's travel experience

[0967] (Application example 2)

[0968] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0969] Conventional travel planning and video generation systems have difficulty in flexibly changing plans and personalizing them in response to user emotions. This has led to issues such as not being able to provide users with the travel experience they truly want to enjoy, and the quality of the content being fixed.

[0970] The specification processing by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for inputting places the user wants to go and scenery they want to see, text generation means for receiving the information input by the user and generating a travel plan, emotion recognition means for recognizing the user's emotions in real time and adjusting the travel plan, video generation means for generating travel videos based on the adjusted travel plan, and means for delivering the generated travel videos to the user's terminal. This makes it possible to flexibly change the travel plan in response to the user's emotions and generate high-quality travel videos.

[0971] A "user" is an individual who uses the system to generate travel plans and travel videos.

[0972] The "means for inputting the place you want to go and the scenery you want to see" is a device or software that provides an interface for the user to input the place you want to go and the scenery you want to see.

[0973] The "text generation means for receiving and generating a travel plan" is a system that uses natural language processing technology to automatically generate a travel plan based on information entered by a user.

[0974] "Emotion recognition means" refers to a device or software that analyzes and recognizes emotions in real time from a user's facial expressions, tone of voice, touch operations, etc.

[0975] "Video generation means for generating travel videos" refers to a device or software that searches for and selects video materials based on a coordinated travel plan, and then edits and adds sound effects and commentary to generate travel videos.

[0976] "Means for delivering the generated travel footage to the user's terminal" means a device or software for providing the generated travel footage to the user's terminal in a streaming or downloadable format.

[0977] The term "system" refers to a set of devices and software that includes these means and operates in conjunction with each other.

[0978] This invention relates to a system that allows users to input the places they want to go and the scenery they want to see, and generates individually customized travel plans and travel videos based on that information. The system incorporates an emotion recognition function that recognizes the user's emotions and adjusts the plan to improve the quality of the travel experience. The system consists of a user terminal, a server, a text generation AI, a video generation AI, and an emotion recognition engine.

[0979] System Overview

[0980] 1. User Device:

[0981] It provides an interface for users to input the places they want to go and the scenery they want to see, and is usually used on a smartphone, tablet, or PC.

[0982] 2. Server:

[0983] It has a text generator to receive input information and generate a travel itinerary, with the primary software used here being a generative AI model such as OpenAI's GPT-3.

[0984] The app is equipped with an emotion recognition engine that uses facial expression analysis, voice tone analysis, and touch operation analysis to recognize users' emotions in real time and adjust travel plans accordingly.

[0985] It has a video generation means for generating travel videos based on the adjusted travel plan. Video generation includes video material search, selection, editing, and adding sound effects and commentary, and for this purpose, a specific video generation AI (such as Deep Dream Generator) is used.

[0986] It also has the function to distribute the generated travel footage to the user's device.

[0987] These features provide the following benefits:

[0988] Specific examples

[0989] User's New York travel plans

[0990] user:

[0991] "I want to visit New York. I want to see the Statue of Liberty and visit Times Square."

[0992] Input Interface:

[0993] Users simply enter "New York, Statue of Liberty, Times Square" into a dedicated application on their smartphone.

[0994] server:

[0995] It receives the input information and generates a detailed travel plan using OpenAI GPT-3.

[0996] Emotion Recognition Engine:

[0997] Next, the system analyzes the user's emotions based on their past video viewing history and real-time emotional data (e.g., facial expression analysis, voice tone analysis, touch operation analysis) and adjusts the travel plan accordingly. For example, if the user prefers night views, the system will adjust the time to visit Times Square at night.

[0998] Video generation AI:

[0999] Based on the tailored travel plan, video footage is searched, edited, and sound effects and commentary are added to generate high-quality travel footage.

[1000] Delivery Method:

[1001] The generated travel footage is delivered to the user's device via streaming or download.

[1002] Prompt Sentence Examples

[1003] text

[1004] Create a detailed travel plan for: New York, visit the Statue of Liberty, and Times Square.

[1005] Based on the user's emotional state (happy), adjust the travel plan: 1-day trip in New York, visit the Statue of Liberty, and explore Times Square in the evening.

[1006] This allows users to enjoy a realistic travel experience through personalized travel plans and travel videos that are tailored to their specific needs and emotions. This system provides convenience and enjoyment to people who have difficulty traveling.

[1007] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1008] Step 1:

[1009] Users input the places they want to go and the scenery they want to see. Using a device such as a smartphone or tablet, users input the places they want to go and the scenery they want to see into the input form within the dedicated application, and then send that information to the server.

[1010] Step 2:

[1011] The server receives and analyzes the data sent by the user. The server receives the travel desire data (places to go and scenery to see) entered by the user and sends it to the text generation AI. The text generation AI then analyzes the data as prompts to generate a travel plan.

[1012] Step 3:

[1013] A text generation AI creates a detailed travel plan. The server sends prompts based on the user's input data to a generative AI model such as OpenAI's GPT-3, which generates a detailed travel plan including the order of sightseeing spots, duration of stay, and recommended activities.

[1014] Step 4:

[1015] The server analyzes the generated travel plan using an emotion recognition engine. The server sends the generated travel plan to the emotion recognition engine, which analyzes the user's emotions based on the user's input information and real-time emotion data (e.g., facial expression analysis, voice tone analysis, touch operation analysis).

[1016] Step 5:

[1017] The emotion recognition engine adjusts the travel plan. The emotion recognition engine adjusts the travel plan based on the analyzed user's emotional data. For example, if the user likes night views, the engine will increase nighttime activities or change the duration of stays.

[1018] Step 6:

[1019] The server sends the adjusted travel plan to the video generation AI. The server provides the adjusted travel plan to the video generation AI, and the video generation AI begins work to generate travel videos.

[1020] Step 7:

[1021] The video generation AI searches, selects, and edits video footage. The video generation AI searches, selects, and edits relevant video footage from a database. It then adds scene transitions, sound effects, and commentary to create a travel video.

[1022] Step 8:

[1023] The generated travel video is sent to the server. The video generation AI sends the completed travel video to the server, which then converts it into a format that can be distributed to the user's device.

[1024] Step 9:

[1025] The server sends a notification to the user's device and delivers the travel video. The server notifies the user's device that the generated travel video is ready, and then delivers the travel video to the user's device in streaming or download format.

[1026] Step 10:

[1027] The user watches the travel video on the device. The user can check the notification and play the travel video on the device to enjoy a personalized travel experience.

[1028] 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.

[1029] 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> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. 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 voice, text data indicating text, and image data indicating an image is also input. 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.

[1030] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[1031] [Third embodiment]

[1032] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[1033] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[1034] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the 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).

[1035] 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.

[1036] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1037] 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 surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1038] 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.

[1039] 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.

[1040] 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 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.

[1041] 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.

[1042] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1043] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[1044] System Overview

[1045] This invention is a system that allows users to freely input the places they want to go and the scenery they want to see, and generates individually customized travel plans and travel videos based on that information. The system consists of the user's device, a server, a text generation AI, and a video generation AI.

[1046] Explanation of program processing

[1047] User-created plans

[1048] 1. User:

[1049] Users access a dedicated app or website from their own device (smartphone, tablet, PC, etc.) and log in.

[1050] After logging in, enter the places you want to go, the scenery you want to see, the activities you want to experience, etc. on the travel plan creation screen.

[1051] These input information are sent.

[1052] Plan acceptance and processing on the server

[1053] 2. Server:

[1054] Receives user input, analyzes it, and extracts the required data.

[1055] The extracted data is passed to a text generation AI, which is then instructed to generate a detailed travel plan.

[1056] Receive a detailed travel plan from the text generation AI and confirm the contents.

[1057] Travel video generation

[1058] 3. Server:

[1059] Based on a detailed travel plan, instructions are given to the video generation AI to generate the video.

[1060] 4. Video generation AI:

[1061] Based on the designated travel plan, search for and select the appropriate video material.

[1062] Edit footage and combine it with sound effects and narration to create a travel video.

[1063] The generated travel video is sent to the server.

[1064] Providing travel videos

[1065] 5. Server:

[1066] It receives travel videos and converts them into a format that can be delivered to the user's device.

[1067] Sends a notification to the user that the video is ready.

[1068] 6. Terminal:

[1069] Receive notifications and play travel videos based on user instructions.

[1070] User travel experience

[1071] 7. Users:

[1072] You can watch travel videos on your device and enjoy a simulated travel experience.

[1073] Specific examples

[1074] Example 1: Trip to New York

[1075] user:

[1076] "I want to visit New York. I want to see the Statue of Liberty and visit Times Square."

[1077] Device:

[1078] Users simply enter "New York, Statue of Liberty, Times Square" into a dedicated app and send it.

[1079] server:

[1080] It receives input information and passes it to a text generation AI to generate a detailed travel plan, including specific details such as "a two-day, one-night trip to New York, visiting the Goddess of Merit, and visiting Times Square."

[1081] Video generation AI:

[1082] Based on the travel plan, video footage of the Statue of Liberty and Times Square is searched, selected, and edited to create a travel video.

[1083] server:

[1084] The generated travel video is delivered to the user's device.

[1085] Device:

[1086] Users can receive and play travel videos to simulate a trip to New York.

[1087] In this way, users can enjoy a realistic travel experience through travel videos customized to their specific needs.The system makes travelling convenient and enjoyable even for people who have difficulty traveling.

[1088] The processing flow will be explained below.

[1089] Step 1:

[1090] user:

[1091] Access the dedicated app or website from your device (e.g. smartphone, tablet, PC) and enter your user ID and password to log in to the system.

[1092] After logging in, go to the "Create a Travel Plan" screen from the menu.

[1093] Enter the places you want to go, the scenery you want to see, the activities you want to experience, etc. in the text box.

[1094] Once you have completed the input, press the "Submit" button to send the data to the server.

[1095] Step 2:

[1096] server:

[1097] Receive travel preference data sent by users.

[1098] The received data is analyzed and information such as places you want to go, scenery you want to see, and activities you want to do is extracted.

[1099] Based on the extracted information, the text generation AI is instructed to create a travel plan.

[1100] Step 3:

[1101] Text generation AI:

[1102] It receives data sent from the server and automatically generates a detailed travel plan including the order of each tourist spot, the duration of stay, recommended activities, etc.

[1103] The generated travel plan is returned to the server.

[1104] Step 4:

[1105] server:

[1106] The travel plan received from the text generation AI is checked and sent to the video generation AI, instructing it to generate a travel video.

[1107] Step 5:

[1108] Video generation AI:

[1109] The content of the generated travel plan is received and the corresponding video material is searched for in the database.

[1110] The searched video material is selected and edited by adding scene transitions between tourist spots, sound effects, narration, etc.

[1111] High-quality travel videos are generated and sent to a server.

[1112] Step 6:

[1113] server:

[1114] It receives travel videos sent from the video generation AI and converts them into a format that can be distributed to the user's device.

[1115] Sends a notification to the user's device that the video is ready.

[1116] Step 7:

[1117] Device:

[1118] Displays notifications received from the server.

[1119] When the user taps on the notification, a video player will launch and play the travel video, either by streaming or downloading.

[1120] Step 8:

[1121] user:

[1122] Enjoy a simulated travel experience by watching travel videos played on the device's video player.

[1123] While watching, you can use options like narration and subtitles to enhance your experience.

[1124] The above are the detailed processing steps of this system, which allows users to enjoy a realistic travel experience from the comfort of their own home.

[1125] Example 1

[1126] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1127] Conventional travel plan and travel video generation systems lack the ability to quickly and effectively generate travel plans and travel videos that meet detailed, customized user requirements. Furthermore, there is no consistent process for creating travel plans and travel videos, making it difficult to provide users with an optimal experience. Therefore, there is a need for a system that can efficiently and accurately generate customized travel plans and travel videos that meet users' requests.

[1128] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1129] In this invention, the server includes means for inputting the places the user wants to go and the scenery they want to see, means for receiving and analyzing the information input by the user, means for generating a detailed travel plan based on the analyzed data, means for searching for and selecting appropriate video material based on the generated detailed travel plan, and for generating a travel video by editing and combining sound effects and narration, and means for delivering the generated travel video to the user's terminal. This makes it possible to consistently and efficiently generate travel plans and travel videos based on the user's customized detailed requirements, and provide the user with the best simulated travel experience.

[1130] "User" means a person or individual who uses the system to request the generation of a travel plan and travel video.

[1131] The "server" is a computer system that receives and analyzes information input by users and generates comprehensive travel plans and travel videos in cooperation with the text generation means and video generation means.

[1132] A "text generation means" is an artificial intelligence (e.g., natural language generation model) or processing means for generating a detailed travel plan based on information provided by a user.

[1133] The "video generation means" refers to the function and processing means for searching for and selecting relevant video material based on the generated detailed travel plan, editing it, and combining sound effects and narration to generate a travel video.

[1134] A "trip plan" is a detailed, comprehensive plan of the places you want to go, the sights you want to see, the activities you want to experience, etc.

[1135] "Travel Video" means visual and audio content created based on a user's desired travel plan, intended to provide a virtual travel experience.

[1136] "Input means" refers to the interface (e.g., application, web form) and processing means used by the user to input information such as the place they want to go and the scenery they want to see.

[1137] The "means for receiving and analyzing information" refers to a processing means for receiving information sent from a user, analyzing it, and extracting data necessary for creating a travel plan.

[1138] The "distribution means" refers to the function and processing means for converting the generated travel video into a format suitable for the user's terminal and transmitting it to the user.

[1139] MODE FOR CARRYING OUT THE INVENTION

[1140] This invention is a system that allows users to freely input the places they want to go and the scenery they want to see, and generates individually customized travel plans and travel videos based on that information. The system consists of the user's device, a server, a text generation AI, and a video generation AI.

[1141] System configuration

[1142] User's device:

[1143] Users access a dedicated app or website using a device such as a smartphone, tablet, or PC, and can input information such as the places they want to go, the scenery they want to see, and the activities they want to experience.

[1144] server:

[1145] The server receives and analyzes the information entered by the user. The following functional modules are located on the server:

[1146] 1. Text generation AI (e.g. OpenAI GPT-3):

[1147] The server uses text generation AI to generate a detailed travel plan based on the information provided by the user, including specific travel itineraries, tourist information, and recommended activities according to the prompts received.

[1148] 2. Video generation AI (e.g., Synthesia and Pictory):

[1149] Based on the detailed travel plan generated by the text generation AI, the video generation AI searches for and selects the appropriate video material, then edits the footage as needed and combines sound effects and narration to create a travel video.

[1150] Travel video streaming:

[1151] The generated travel video is delivered from the server to the user's device, where it is converted into a format suitable for the user's device and notifies the user that the video is ready.

[1152] User experience:

[1153] Users can receive notifications and watch travel videos on their devices, allowing them to enjoy a simulated travel experience.

[1154] Specific examples

[1155] Example 1: Trip to New York

[1156] Let's say a user enters "New York, Statue of Liberty, Times Square" into a dedicated app and sends it.

[1157] Example prompt sentence:

[1158] "Please create a detailed itinerary for my trip to New York. I'd like a two-day, one-night plan that includes a visit to the Statue of Liberty and Times Square."

[1159] Text generation AI:

[1160] The server passes the input information to a text generation AI (e.g., OpenAI GPT-3), which generates a detailed travel plan based on the prompt, such as "New York, 1 night, 2 days: visit the Statue of Liberty on the first day, and Times Square on the second day."

[1161] Video generation AI:

[1162] Based on a detailed travel plan, a video generation AI (e.g., Synthesia or Pictory) searches, selects, and edits footage of the Statue of Liberty and Times Square, stitching the clips together and adding sound effects and narration to create a complete travel video.

[1163] Travel video streaming:

[1164] The generated travel video is delivered from the server to the user's device. The user receives a notification and can watch the travel video on their device to experience a simulated trip to New York.

[1165] In this way, users can enjoy a realistic travel experience through travel videos customized to their specific needs.The system makes travelling convenient and enjoyable even for people who have difficulty traveling.

[1166] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1167] Program processing steps

[1168] Step 1:

[1169] user:

[1170] Users access a dedicated app or website from their smartphone, tablet, PC, or other device and log in.

[1171] Using the interface on the device to input information about your travel destination, you can enter specific details about the places you want to go, the scenery you want to see, and the activities you want to experience.

[1172] Example: "New York, Statue of Liberty, Times Square, 2 days, 1 night"

[1173] Click the send button to send the entered information to the server.

[1174] Input: Travel information such as places you want to go, sights you want to see, activities you want to experience, etc.

[1175] Output: Travel preference information sent to the server

[1176] Step 2:

[1177] server:

[1178] Receive travel preferences sent by users.

[1179] The data processing engine is used to analyze the received data and extract the information necessary to create a travel plan.

[1180] Specific data processing: Using natural language processing, elements such as place names, tourist spots, and time periods are extracted from the input data.

[1181] Input: Travel preference information submitted by the user

[1182] Output: Extracted element data for creating a travel plan

[1183] Step 3:

[1184] server:

[1185] The extracted data is fed as prompts to a text generation AI (e.g., OpenAI GPT-3) to generate a detailed travel plan.

[1186] Example prompt: "Please create a detailed itinerary for a trip to New York. I'd like a two-day, one-night plan that includes a visit to the Statue of Liberty and Times Square."

[1187] Based on the prompt, the text generation AI generates a detailed plan including the itinerary, order of sightseeing spots, length of stay, and recommended activities.

[1188] Input: Extracted element data for creating a travel plan, prompt text

[1189] Output: A detailed itinerary

[1190] Step 4:

[1191] server:

[1192] It receives a detailed travel plan and passes it to a video generation AI (e.g., Synthesia or Pictory) to generate a video.

[1193] The video generation AI searches for and selects the appropriate video material according to the received plan.

[1194] Specific data processing: Selecting relevant video clips from the video bank and selecting the most suitable scenes.

[1195] Input: Detailed travel plan

[1196] Output: Selecting and clipping footage

[1197] Step 5:

[1198] Video generation AI:

[1199] The selected footage is edited and sound effects and narration are added to create a travel video.

[1200] What you'll do: Stitch together video clips, add narration, and place sound effects where appropriate to complete the video.

[1201] Input: Selected footage

[1202] Output: Generated travel video

[1203] Step 6:

[1204] server:

[1205] Receives travel videos generated by the video generation AI and converts them into a format suitable for the user's device (e.g., MP4).

[1206] After the format conversion, the video is ready to be distributed to the user's device.

[1207] Input: Generated travel video

[1208] Output: Travel videos in device-compatible format

[1209] Step 7:

[1210] server:

[1211] Sends a notification to the user that their travel video is ready.

[1212] You will be notified via push notification or email that your travel video is ready.

[1213] Input: Travel videos in device-compatible format

[1214] Output: Ready notification to user

[1215] Step 8:

[1216] Device:

[1217] Receive notifications and play travel videos based on user instructions.

[1218] Specific behavior: The user presses the play button in the app and the video plays on the device.

[1219] Input: Ready notification, travel video in device-compatible format

[1220] Output: Played travel video

[1221] Step 9:

[1222] user:

[1223] Watch travel videos on your device and enjoy a simulated travel experience.

[1224] Input: Travel video played

[1225] Output: The user's viewing experience

[1226] This allows users to enjoy a realistic travel experience through travel videos customized based on their specific requirements.

[1227] (Application example 1)

[1228] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1229] Conventional travel plan generation systems only provide travel plans based on user input information, making it difficult to customize them to meet the individual preferences and needs of each user. Furthermore, the travel videos based on the provided travel plans are limited and lack realism and reality. Furthermore, since some users find it difficult to travel in person, there is a need for a more realistic virtual travel experience. There is a need to solve these issues and provide users with a more satisfying, customized travel experience.

[1230] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1231] In this invention, the server includes means for a user to input places they want to go and scenery they want to see, a text generation means for receiving the information input by the user and generating a travel plan, a video generation means for generating a travel video based on the generated travel plan, a means for delivering the generated travel video to the user's terminal, a means for customizing the travel plan and travel video based on the user's preferences, and a means for providing a virtual travel experience using a virtual reality device. This allows a user to obtain a customized travel plan that suits their preferences and enjoy a realistic virtual travel experience based on that plan with highly realistic videos.

[1232] "Means for users to input the places they want to go and the scenery they want to see" refers to an interface that allows users to specify their desired travel destinations and the scenery they want to see, and provide that information to the system.

[1233] A "text generator" is a system component that includes artificial intelligence technology for automatically generating a detailed travel itinerary based on information received from a user.

[1234] The "video generation means" is a system component that searches for and edits video material corresponding to the generated travel plan to generate a travel video.

[1235] "Means for delivering the generated travel video to the user's device" refers to the mechanism for sending the completed travel video to various digital devices owned by the user (e.g., smartphone, tablet, PC).

[1236] "Means for customizing travel plans and travel videos based on user preferences" means a system component that individually adjusts and modifies travel plans and corresponding travel videos according to a user's individual preferences and needs.

[1237] "Means for providing a virtual travel experience using a virtual reality device" refers to a mechanism for displaying the generated travel video on a device compatible with virtual reality technology (e.g., a VR headset) to provide users with a virtual travel experience.

[1238] "Order, duration of stay at each tourist spot, and recommended activities" refers to the order in which the tourist spots are visited in the travel plan, the duration of stay at each spot, and the recommended activities at each spot.

[1239] "Searching, selecting, editing and combining sound effects and narration to create a travel video" refers to the process of finding, selecting and organizing suitable footage, and then adding sound effects and audio narration to create a complete travel video.

[1240] Videos "optimized for viewing on virtual reality devices" refer to video content that has been specially adjusted and edited to be compatible with VR technology and optimized to provide users with an immersive visual and auditory experience through a VR headset or similar device.

[1241] This invention relates to a system that generates customized travel plans and travel videos based on user input of places to go and scenery to see. The system mainly consists of a user terminal, a server, text generation AI, video generation AI, and a virtual reality device.

[1242] System Program

[1243] User-provided input information

[1244] Users use a dedicated app or web browser to input the places they want to go, the scenery they want to see, and the activities they want to experience. This information is sent from the user's device to the server.

[1245] Plan generation on the server

[1246] The server analyzes the input information received from the user and extracts relevant data, which is then passed to a text generation AI (e.g., OpenAI GPT-4) to generate a detailed itinerary, including the order of visits, duration of stays, and recommended activities for each tourist spot.

[1247] Travel video generation

[1248] The generated travel plan is passed to a video generation AI (e.g., Synthesia), which searches for and selects corresponding video material. The video generation AI then edits these materials and combines them with sound effects and narration to generate a travel video that is optimized for viewing on a virtual reality device.

[1249] Providing videos to users

[1250] The server delivers the generated travel video to the user's device, which then converts the received video into a viewable format and provides it to the user. The user can then use a virtual reality device to enjoy an immersive virtual travel experience.

[1251] Hardware and software used

[1252] User devices: smartphones, tablets, PCs.

[1253] Server: Hosting of data analysis and generative AI models.

[1254] Text generation AI: Text generation models such as OpenAI GPT-4.

[1255] Video generation AI: Video generation models such as Synthesia.

[1256] Virtual reality devices: VR headsets (e.g., Oculus Quest, HTC Vive).

[1257] Examples of concrete examples and prompts

[1258] Specific examples

[1259] The user enters the following through a dedicated app:

[1260] "I want to go to Kyoto. I want to see Kinkaku-ji Temple and visit Gion."

[1261] The server receives the information entered and sends the following prompt to the text generation AI:

[1262] "The user wants to travel to Kyoto. Please generate a 2-day, 1-night Kyoto itinerary that includes Kinkakuji Temple and Gion."

[1263] Based on the generated itinerary, the server sends the following prompts to the video generation AI:

[1264] "Based on the user's desired Kyoto travel plan, please select footage of Kinkakuji Temple and Gion and generate a two-day, one-night travel video."

[1265] This allows users to obtain a customized travel plan that suits their preferences, and to enjoy an immersive virtual travel experience based on that plan with highly realistic video.

[1266] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1267] Step 1:

[1268] The user inputs the place they want to go and the scenery they want to see.

[1269] Input: A user uses a dedicated app or web browser to enter information such as, "I want to go to Kyoto. I want to see Kinkaku-ji Temple and also visit Gion."

[1270] What it does: A user enters data into an in-app form and presses the "Submit" button.

[1271] Output: Input information is sent from the user's device to the server.

[1272] Step 2:

[1273] The server analyzes the information received from the user.

[1274] Input: Travel preferences entered by the user.

[1275] How it works: The server uses text analysis algorithms to extract important keywords from the received data, such as destinations and views you want to see. Natural language processing (NLP) techniques are used in this process to accurately understand the user's intent.

[1276] Output: The parsed information is formatted in a format that can be passed to the text generation AI.

[1277] Step 3:

[1278] Text generation AI generates detailed travel plans.

[1279] Input: Parsed user information passed from the server.

[1280] How it works: Based on details of the user's desired travel destinations and activities, a text generation AI (e.g., OpenAI GPT-4) generates a travel plan including the travel schedule, order of visits, recommended activities, etc. During this process, the AI ​​model references a trained database to automatically generate the optimal plan.

[1281] Output: The generated detailed travel plan is returned to the server.

[1282] Step 4:

[1283] The server issues instructions to the video generation AI based on the generated travel plan.

[1284] Input: A detailed travel plan from a text generation AI.

[1285] How it works: The server analyzes the generated travel plan and creates a specific prompt for the video generation AI. The prompt might be something like, "Based on the user's desired Kyoto travel plan, please select footage of Kinkakuji Temple and Gion and generate a two-day, one-night travel video."

[1286] Output: Prompt text passed to the video generation AI.

[1287] Step 5:

[1288] Video generation AI generates travel videos.

[1289] Input: Prompt text from the server.

[1290] How it works: Based on a prompt, the video generation AI (e.g., Synthesia) searches and selects relevant video material from a database and edits the video. During the editing process, sound effects and narration are added as needed, creating a video optimized for viewing on a virtual reality device.

[1291] Output: The completed travel video is sent to the server.

[1292] Step 6:

[1293] The server delivers the generated travel video to the user's device.

[1294] Input: Travel videos sent from a video generation AI.

[1295] How it works: The server converts the received video into a format that can be played on the user's device and delivers the video. During this process, the user is notified that the video is ready.

[1296] Output: Travel video delivered to the user's device.

[1297] Step 7:

[1298] Users watch the travel videos that are distributed.

[1299] Input: Travel videos and notifications delivered from the server.

[1300] How it works: Users play travel videos on their devices and enjoy an immersive virtual travel experience by putting on a virtual reality device. Specifically, they put on a VR headset, view the videos in 360 degrees, and experience a simulated travel experience.

[1301] Output: A satisfying virtual travel experience where users watch travel videos.

[1302] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1303] System Overview

[1304] This invention combines an emotion engine with a system that allows users to freely input the places they want to go and the scenery they want to see, and generates individually customized travel plans and travel videos based on that information. The emotion engine recognizes the user's emotions and can adjust the plan to improve the quality of the travel experience. The system consists of the user's device, a server, a text generation AI, a video generation AI, and the emotion engine.

[1305] Explanation of program processing

[1306] User-created plans

[1307] 1. User:

[1308] Access the dedicated app or website from your device (e.g. smartphone, tablet, PC) and log in.

[1309] After logging in, enter the places you want to go, the scenery you want to see, the activities you want to experience, etc. on the travel plan creation screen.

[1310] These input information are sent.

[1311] Plan acceptance and processing on the server

[1312] 2. Server:

[1313] Receive travel preference data sent by users.

[1314] Analyze the received data and extract the necessary information.

[1315] The extracted data is passed to a text generation AI, which is then instructed to generate a detailed travel plan.

[1316] Emotion recognition and plan adjustment using an emotion engine

[1317] 3. Server:

[1318] The travel plan received from the text generation AI is analyzed by an emotion engine, and emotions are recognized based on the user's input information and reactions while watching the video.

[1319] 4. Emotion Engine:

[1320] It recognizes emotions by analyzing a variety of data, such as the user's facial expressions, tone of voice, and touch operations.

[1321] Based on the emotions detected, travel plans are tailored to the user's interests.

[1322] The adjusted travel plan is sent to the server.

[1323] Travel video generation

[1324] 5. Server:

[1325] Based on the adjusted travel plan, instructions for video generation are given to the video generation AI.

[1326] 6. Video generation AI:

[1327] Based on the designated travel plan, the database is searched for relevant video material.

[1328] The searched video material is selected and edited by adding scene transitions between tourist spots, sound effects, narration, etc.

[1329] High-quality travel videos are generated and sent to a server.

[1330] Providing travel videos

[1331] 7. Server:

[1332] It receives travel videos sent from the video generation AI and converts them into a format that can be distributed to the user's device.

[1333] Sends a notification to the user's device that the video is ready.

[1334] 8. Terminal:

[1335] Displays notifications received from the server.

[1336] When the user taps on the notification, a video player will launch and play the travel video, either by streaming or downloading.

[1337] User travel experience

[1338] 9. Users:

[1339] You can watch travel videos on your device and enjoy a simulated travel experience.

[1340] While watching, you can enjoy a deeper experience with narration, subtitles, and emotional engine tuning options.

[1341] Specific examples

[1342] Example 1: Trip to New York

[1343] User: "I want to visit New York. I want to see the Statue of Liberty and visit Times Square."

[1344] Device:

[1345] Users simply enter "New York, Statue of Liberty, Times Square" into a dedicated app and send it.

[1346] server:

[1347] It receives input information and passes it to a text generation AI to generate a detailed travel plan.

[1348] The plan includes specific details such as "a two-day, one-night trip to New York, visiting the Statue of Liberty, and visiting Times Square."

[1349] Emotion Engine:

[1350] The app analyzes user input and emotions from videos the user has watched in the past, and adjusts the itinerary based on the results, for example, changing the time spent at the Statue of Liberty or focusing on the night view of Times Square.

[1351] Video generation AI:

[1352] Based on the tailored travel plan, footage of the Statue of Liberty and Times Square is searched, selected, and edited to create a travel video.

[1353] server:

[1354] The generated travel video is delivered to the user's device.

[1355] Device:

[1356] Users can receive and play travel videos to simulate a trip to New York.

[1357] In this way, users can enjoy a realistic travel experience through travel videos that are customized according to their specific needs and emotions. This system provides convenience and enjoyment to people who have difficulty traveling.

[1358] The processing flow will be explained below.

[1359] Step 1:

[1360] user:

[1361] Access the dedicated app or website from your device (e.g. smartphone, tablet, PC) and enter your user ID and password to log in to the system.

[1362] After logging in, enter the places you want to go, the scenery you want to see, the activities you want to experience, etc. into the text boxes on the travel plan creation screen.

[1363] Once you have completed the input, press the "Submit" button to send the data to the server.

[1364] Step 2:

[1365] server:

[1366] Receive travel preference data sent by users.

[1367] The received data is analyzed and information such as places you want to go, scenery you want to see, and activities you want to do is extracted.

[1368] Based on the extracted information, the text generation AI is instructed to create a travel plan.

[1369] Step 3:

[1370] Text generation AI:

[1371] It receives data sent from the server and automatically generates a detailed travel plan including the order of each tourist spot, the duration of stay, recommended activities, etc.

[1372] The generated travel plan is returned to the server.

[1373] Step 4:

[1374] server:

[1375] It checks the travel plan received from the text generation AI and sends it to the emotion engine to analyze the user's emotions.

[1376] Step 5:

[1377] Emotion Engine:

[1378] It recognizes the user's emotions by analyzing a variety of data, including user input information, past viewing history, facial expressions, voice tone, and touch operations.

[1379] Based on the emotions detected, travel plans are tailored to the user's interests.

[1380] The adjusted travel plan is sent to the server.

[1381] Step 6:

[1382] server:

[1383] Based on the adjusted travel plan, instructions for video generation are given to the video generation AI.

[1384] Step 7:

[1385] Video generation AI:

[1386] Based on the designated travel plan, the database is searched for relevant video material.

[1387] The searched video material is selected and edited by adding scene transitions between tourist spots, sound effects, narration, etc.

[1388] High-quality travel videos are generated and sent to a server.

[1389] Step 8:

[1390] server:

[1391] It receives travel videos sent from the video generation AI and converts them into a format that can be distributed to the user's device.

[1392] Sends a notification to the user's device that the video is ready.

[1393] Step 9:

[1394] Device:

[1395] Displays notifications received from the server.

[1396] When the user taps on the notification, a video player will launch and play the travel video, either by streaming or downloading.

[1397] Step 10:

[1398] user:

[1399] Enjoy a simulated travel experience by watching travel videos played on the device's video player.

[1400] While watching, you can enjoy narration, subtitles and emotional engine tuning options for a richer experience.

[1401] The above are the detailed processing steps of this system, which allows users to enjoy a realistic travel experience from the comfort of their own home.

[1402] Example 2

[1403] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1404] Conventional travel plan generation systems can provide travel plans based on user input, but they do not fully reflect the user's emotions and interests. This makes it difficult to provide a truly enjoyable, customized travel experience. Furthermore, even when generating travel videos based on travel plans, the system is unable to make fine adjustments to meet the user's requests, resulting in a disappointing experience.

[1405] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1406] In this invention, the server includes a means for inputting the places the user wants to go and the scenery they want to see, a text generation means for receiving the information input by the user and generating a travel plan, a sentiment analysis means for analyzing the user's sentiment and making adjustments to the generated travel plan, and a video generation means for generating a travel video based on the adjusted travel plan. This makes it possible to provide a customized travel plan that reflects the user's sentiments and interests, and a high-quality travel video based on that travel plan.

[1407] "Means for users to input places they want to go and scenery they want to see" is an interface that allows users to freely input information about their desired travel destinations, tourist spots, etc.

[1408] "Text generation means for receiving information entered by a user and generating a travel plan" refers to artificial intelligence technology and processes for automatically creating a travel plan based on information entered by a user.

[1409] "Emotion analysis means for analyzing user emotions and adjusting generated travel plans" refers to the technology and process for analyzing a user's emotions and interests and adaptively adjusting the travel plan based on those emotions and interests.

[1410] The "video generation means for generating travel videos based on an adjusted travel plan" refers to an artificial intelligence technology and process for creating travel videos according to an improved travel plan.

[1411] The "means for delivering the generated travel video to the user's terminal" refers to the technology and process for transmitting the travel video to the user's available terminal and enabling it to be played.

[1412] System Overview

[1413] This invention combines an emotion engine with a system that allows users to freely input the places they want to go and the scenery they want to see, and generates individually customized travel plans and travel videos based on that information. The emotion engine recognizes the user's emotions and can adjust the plan to improve the quality of the travel experience. The system consists of the user's device, a server, a text generation AI, a video generation AI, and the emotion engine.

[1414] User's device

[1415] Users access the system using devices such as smartphones, tablets, and PCs. A dedicated app or website is provided, and after logging in, users can enter information such as the places they want to go, the scenery they want to see, and the activities they want to experience on the travel plan creation screen. For example, they can enter specific requests such as, "I want to go to Paris. I want to see the Eiffel Tower and the Louvre."

[1416] Server Roles

[1417] The server receives the travel preference data sent by the user, analyzes it, and extracts the necessary information. Based on the extracted data, it performs the following processes:

[1418] Text generation AI

[1419] The server passes the information entered by the user to a text generation AI, which then generates a detailed itinerary based on data such as "Destination: Paris, Tourist Attractions: Eiffel Tower, Louvre Museum." Specific software used includes OpenAI's GPT-3 model.

[1420] Emotion analysis

[1421] The generated travel plan is passed from the server to an emotion analysis engine. The emotion analysis engine analyzes the user's past viewing data and real-time reaction data (facial expressions, vocal tone, etc.) to identify the user's emotions. For example, if the user smiled a lot when watching a video of the Eiffel Tower in the past, the plan will be adjusted to emphasize those parts. The specific software used is Affectiva's SDK.

[1422] Video generation AI

[1423] The travel plan adjusted through sentiment analysis is then passed back to the server and sent to the video generation AI. The video generation AI searches the database for suitable video material based on the travel plan, selects it, and edits it. It then generates a high-quality travel video by adding scene transitions between each tourist spot, sound effects, and narration. AI technologies such as the DALL-E API are used to generate the video.

[1424] Travel video distribution

[1425] The generated travel video is delivered from the server to the user's device. The server provides the video in streaming or download format and sends a notification to the user. The user can tap the notification to launch the video player and watch the travel video.

[1426] Specific examples

[1427] For example, consider a case where a user inputs, "I want to visit New York. I want to see the Statue of Liberty and also visit Times Square." The server receives this information and passes it to a text generation AI to generate a detailed travel plan. The sentiment analysis engine then analyzes the user's emotions and, for example, adjusts the time spent at the Statue of Liberty or modifies the plan to emphasize the night view of Times Square. Finally, the video generation AI generates a travel video based on this information and distributes it to the user's device via the server.

[1428] In this way, the system provides a customized travel experience based on user input and emotional data.

[1429] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1430] Step 1:

[1431] User: The user accesses the dedicated app or website using a device (smartphone, tablet, PC) and logs in to their account. Once logged in, the travel plan creation screen appears. There, the user enters information about the places they want to go, the scenery they want to see, and the activities they want to experience. For example, they might enter, "I want to visit New York. I want to see the Statue of Liberty and Times Square." After completing the entry, they tap the send button.

[1432] Input: Information about the place you want to go, the scenery you want to see, and the activities you want to experience

[1433] Output: Travel preference data submitted

[1434] Step 2:

[1435] Server: The server receives the travel plan data sent by the user. The received data is first analyzed by a natural language processing module to extract keywords and information needed to create a detailed travel plan. The extracted data is then passed to a text generation AI.

[1436] Input: User's travel preference data

[1437] Output: Extracted data for creating a travel plan

[1438] Step 3:

[1439] Text generation AI: The server passes the extracted data to the text generation AI, which then generates a detailed travel plan based on this data. For example, it generates a plan such as "Two-day, one-night trip to New York, visiting the Statue of Liberty, and visiting Times Square."

[1440] Input: Extracted travel planning data

[1441] Output: Detailed itinerary information

[1442] Step 4:

[1443] Server: The server then passes the detailed travel plan received from the text generation AI to a sentiment analysis engine, which analyzes the user's past viewing data and real-time reaction data (facial expressions, tone of voice, etc.) to identify the user's emotions.

[1444] Input: Detailed travel plan information

[1445] Output: Instructions and data for sentiment analysis

[1446] Step 5:

[1447] Sentiment Analysis Engine: The sentiment analysis engine analyzes the user's emotions using their past viewing data and real-time reaction data. For example, if the user smiles a lot while watching a video of the Eiffel Tower, it will adjust the time spent visiting the Eiffel Tower to be longer. As a result, an adjusted itinerary is generated and sent back to the server.

[1448] Input: detailed travel plan information, user sentiment data

[1449] Output: Adjusted itinerary

[1450] Step 6:

[1451] Server: The server receives the adjusted itinerary from the sentiment analysis engine and passes it to the video generation AI, which is then instructed to generate specific videos based on the adjusted itinerary.

[1452] Input: Adjusted travel plan

[1453] Output: Video generation instruction data

[1454] Step 7:

[1455] Video Generation AI: Based on the adjusted travel plan received from the server, the video generation AI searches the database for relevant video material. It selects the necessary video material and edits it by adding scene transitions between tourist spots, sound effects, and narration. A high-quality travel video is generated and sent to the server.

[1456] Input: Adjusted travel plan

[1457] Output: High-quality travel videos

[1458] Step 8:

[1459] Server: The server receives the travel video sent from the video generation AI and converts it into a format that can be distributed to the user's device. A notification is sent to the user's device when the video is ready.

[1460] Input: High-quality travel videos

[1461] Output: Travel videos that can be distributed, notification data

[1462] Step 9:

[1463] Device: The user's device receives the notification from the server and displays a notification to the user that the video is ready. When the user taps the notification, the video player launches and the video begins streaming or downloading.

[1464] Input: Notification data

[1465] Output: Video play action

[1466] Step 10:

[1467] Users: Users can enjoy a simulated travel experience by watching travel videos generated on their device. While watching, they can enjoy narration, subtitles, and scenes adjusted by the emotion engine, which enhances the experience.

[1468] Input: Video play action

[1469] Output: User's travel experience

[1470] (Application example 2)

[1471] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1472] Conventional travel planning and video generation systems have difficulty in flexibly changing plans and personalizing them in response to user emotions. This has led to issues such as not being able to provide users with the travel experience they truly want to enjoy, and the quality of the content being fixed.

[1473] The specification processing by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for inputting places the user wants to go and scenery they want to see, text generation means for receiving the information input by the user and generating a travel plan, emotion recognition means for recognizing the user's emotions in real time and adjusting the travel plan, video generation means for generating travel videos based on the adjusted travel plan, and means for delivering the generated travel videos to the user's terminal. This makes it possible to flexibly change the travel plan in response to the user's emotions and generate high-quality travel videos.

[1474] A "user" is an individual who uses the system to generate travel plans and travel videos.

[1475] The "means for inputting the place you want to go and the scenery you want to see" is a device or software that provides an interface for the user to input the place you want to go and the scenery you want to see.

[1476] The "text generation means for receiving and generating a travel plan" is a system that uses natural language processing technology to automatically generate a travel plan based on information entered by a user.

[1477] "Emotion recognition means" refers to a device or software that analyzes and recognizes emotions in real time from a user's facial expressions, tone of voice, touch operations, etc.

[1478] "Video generation means for generating travel videos" refers to a device or software that searches for and selects video materials based on a coordinated travel plan, and then edits and adds sound effects and commentary to generate travel videos.

[1479] "Means for delivering the generated travel footage to the user's terminal" means a device or software for providing the generated travel footage to the user's terminal in a streaming or downloadable format.

[1480] The term "system" refers to a set of devices and software that includes these means and operates in conjunction with each other.

[1481] This invention relates to a system that allows users to input the places they want to go and the scenery they want to see, and generates individually customized travel plans and travel videos based on that information. The system incorporates an emotion recognition function that recognizes the user's emotions and adjusts the plan to improve the quality of the travel experience. The system consists of a user terminal, a server, a text generation AI, a video generation AI, and an emotion recognition engine.

[1482] System Overview

[1483] 1. User Device:

[1484] It provides an interface for users to input the places they want to go and the scenery they want to see, and is usually used on a smartphone, tablet, or PC.

[1485] 2. Server:

[1486] It has a text generator to receive input information and generate a travel itinerary, with the primary software used here being a generative AI model such as OpenAI's GPT-3.

[1487] The app is equipped with an emotion recognition engine that uses facial expression analysis, voice tone analysis, and touch operation analysis to recognize users' emotions in real time and adjust travel plans accordingly.

[1488] It has a video generation means for generating travel videos based on the adjusted travel plan. Video generation includes video material search, selection, editing, and adding sound effects and commentary, and for this purpose, a specific video generation AI (such as Deep Dream Generator) is used.

[1489] It also has the function to distribute the generated travel footage to the user's device.

[1490] These features provide the following benefits:

[1491] Specific examples

[1492] User's New York travel plans

[1493] user:

[1494] "I want to visit New York. I want to see the Statue of Liberty and visit Times Square."

[1495] Input Interface:

[1496] Users simply enter "New York, Statue of Liberty, Times Square" into a dedicated application on their smartphone.

[1497] server:

[1498] It receives the input information and generates a detailed travel plan using OpenAI GPT-3.

[1499] Emotion Recognition Engine:

[1500] Next, the system analyzes the user's emotions based on their past video viewing history and real-time emotional data (e.g., facial expression analysis, voice tone analysis, touch operation analysis) and adjusts the travel plan accordingly. For example, if the user prefers night views, the system will adjust the time to visit Times Square at night.

[1501] Video generation AI:

[1502] Based on the tailored travel plan, video footage is searched, edited, and sound effects and commentary are added to generate high-quality travel footage.

[1503] Delivery Method:

[1504] The generated travel footage is delivered to the user's device via streaming or download.

[1505] Prompt Sentence Examples

[1506] text

[1507] Create a detailed travel plan for: New York, visit the Statue of Liberty, and Times Square.

[1508] Based on the user's emotional state (happy), adjust the travel plan: 1-day trip in New York, visit the Statue of Liberty, and explore Times Square in the evening.

[1509] This allows users to enjoy a realistic travel experience through personalized travel plans and travel videos that are tailored to their specific needs and emotions. This system provides convenience and enjoyment to people who have difficulty traveling.

[1510] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1511] Step 1:

[1512] Users input the places they want to go and the scenery they want to see. Using a device such as a smartphone or tablet, users input the places they want to go and the scenery they want to see into the input form within the dedicated application, and then send that information to the server.

[1513] Step 2:

[1514] The server receives and analyzes the data sent by the user. The server receives the travel desire data (places to go and scenery to see) entered by the user and sends it to the text generation AI. The text generation AI then analyzes the data as prompts to generate a travel plan.

[1515] Step 3:

[1516] A text generation AI creates a detailed travel plan. The server sends prompts based on the user's input data to a generative AI model such as OpenAI's GPT-3, which generates a detailed travel plan including the order of sightseeing spots, duration of stay, and recommended activities.

[1517] Step 4:

[1518] The server analyzes the generated travel plan using an emotion recognition engine. The server sends the generated travel plan to the emotion recognition engine, which analyzes the user's emotions based on the user's input information and real-time emotion data (e.g., facial expression analysis, voice tone analysis, touch operation analysis).

[1519] Step 5:

[1520] The emotion recognition engine adjusts the travel plan. The emotion recognition engine adjusts the travel plan based on the analyzed user's emotional data. For example, if the user likes night views, the engine will increase nighttime activities or change the duration of stays.

[1521] Step 6:

[1522] The server sends the adjusted travel plan to the video generation AI. The server provides the adjusted travel plan to the video generation AI, and the video generation AI begins work to generate travel videos.

[1523] Step 7:

[1524] The video generation AI searches, selects, and edits video footage. The video generation AI searches, selects, and edits relevant video footage from a database. It then adds scene transitions, sound effects, and commentary to create a travel video.

[1525] Step 8:

[1526] The generated travel video is sent to the server. The video generation AI sends the completed travel video to the server, which then converts it into a format that can be distributed to the user's device.

[1527] Step 9:

[1528] The server sends a notification to the user's device and delivers the travel video. The server notifies the user's device that the generated travel video is ready, and then delivers the travel video to the user's device in streaming or download format.

[1529] Step 10:

[1530] The user watches the travel video on the device. The user can check the notification and play the travel video on the device to enjoy a personalized travel experience.

[1531] 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.

[1532] 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> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. 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 voice, text data indicating text, and image data indicating an image is also input. 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.

[1533] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1534] [Fourth embodiment]

[1535] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1536] 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.

[1537] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the 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).

[1538] 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.

[1539] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1540] 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 surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1541] 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.

[1542] The control object 443 includes a display device, LEDs in the eyes, and motors for driving 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.

[1543] 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.

[1544] 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 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.

[1545] 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.

[1546] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1547] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1548] System Overview

[1549] This invention is a system that allows users to freely input the places they want to go and the scenery they want to see, and generates individually customized travel plans and travel videos based on that information. The system consists of the user's device, a server, a text generation AI, and a video generation AI.

[1550] Explanation of program processing

[1551] User-created plans

[1552] 1. User:

[1553] Users access a dedicated app or website from their own device (smartphone, tablet, PC, etc.) and log in.

[1554] After logging in, enter the places you want to go, the scenery you want to see, the activities you want to experience, etc. on the travel plan creation screen.

[1555] These input information are sent.

[1556] Plan acceptance and processing on the server

[1557] 2. Server:

[1558] Receives user input, analyzes it, and extracts the required data.

[1559] The extracted data is passed to a text generation AI, which is then instructed to generate a detailed travel plan.

[1560] Receive a detailed travel plan from the text generation AI and confirm the contents.

[1561] Travel video generation

[1562] 3. Server:

[1563] Based on a detailed travel plan, instructions are given to the video generation AI to generate the video.

[1564] 4. Video generation AI:

[1565] Based on the designated travel plan, search for and select the appropriate video material.

[1566] Edit footage and combine it with sound effects and narration to create a travel video.

[1567] The generated travel video is sent to the server.

[1568] Providing travel videos

[1569] 5. Server:

[1570] It receives travel videos and converts them into a format that can be delivered to the user's device.

[1571] Sends a notification to the user that the video is ready.

[1572] 6. Terminal:

[1573] Receive notifications and play travel videos based on user instructions.

[1574] User travel experience

[1575] 7. Users:

[1576] You can watch travel videos on your device and enjoy a simulated travel experience.

[1577] Specific examples

[1578] Example 1: Trip to New York

[1579] user:

[1580] "I want to visit New York. I want to see the Statue of Liberty and visit Times Square."

[1581] Device:

[1582] Users simply enter "New York, Statue of Liberty, Times Square" into a dedicated app and send it.

[1583] server:

[1584] It receives input information and passes it to a text generation AI to generate a detailed travel plan, including specific details such as "a two-day, one-night trip to New York, visiting the Goddess of Merit, and visiting Times Square."

[1585] Video generation AI:

[1586] Based on the travel plan, video footage of the Statue of Liberty and Times Square is searched, selected, and edited to create a travel video.

[1587] server:

[1588] The generated travel video is delivered to the user's device.

[1589] Device:

[1590] Users can receive and play travel videos to simulate a trip to New York.

[1591] In this way, users can enjoy a realistic travel experience through travel videos customized to their specific needs.The system makes travelling convenient and enjoyable even for people who have difficulty traveling.

[1592] The processing flow will be explained below.

[1593] Step 1:

[1594] user:

[1595] Access the dedicated app or website from your device (e.g. smartphone, tablet, PC) and enter your user ID and password to log in to the system.

[1596] After logging in, go to the "Create a Travel Plan" screen from the menu.

[1597] Enter the places you want to go, the scenery you want to see, the activities you want to experience, etc. in the text box.

[1598] Once you have completed the input, press the "Submit" button to send the data to the server.

[1599] Step 2:

[1600] server:

[1601] Receive travel preference data sent by users.

[1602] The received data is analyzed and information such as places you want to go, scenery you want to see, and activities you want to do is extracted.

[1603] Based on the extracted information, the text generation AI is instructed to create a travel plan.

[1604] Step 3:

[1605] Text generation AI:

[1606] It receives data sent from the server and automatically generates a detailed travel plan including the order of each tourist spot, the duration of stay, recommended activities, etc.

[1607] The generated travel plan is returned to the server.

[1608] Step 4:

[1609] server:

[1610] The travel plan received from the text generation AI is checked and sent to the video generation AI, instructing it to generate a travel video.

[1611] Step 5:

[1612] Video generation AI:

[1613] The content of the generated travel plan is received and the corresponding video material is searched for in the database.

[1614] The searched video material is selected and edited by adding scene transitions between tourist spots, sound effects, narration, etc.

[1615] High-quality travel videos are generated and sent to a server.

[1616] Step 6:

[1617] server:

[1618] It receives travel videos sent from the video generation AI and converts them into a format that can be distributed to the user's device.

[1619] Sends a notification to the user's device that the video is ready.

[1620] Step 7:

[1621] Device:

[1622] Displays notifications received from the server.

[1623] When the user taps on the notification, a video player will launch and play the travel video, either by streaming or downloading.

[1624] Step 8:

[1625] user:

[1626] Enjoy a simulated travel experience by watching travel videos played on the device's video player.

[1627] While watching, you can use options like narration and subtitles to enhance your experience.

[1628] The above are the detailed processing steps of this system, which allows users to enjoy a realistic travel experience from the comfort of their own home.

[1629] Example 1

[1630] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1631] Conventional travel plan and travel video generation systems lack the ability to quickly and effectively generate travel plans and travel videos that meet detailed, customized user requirements. Furthermore, there is no consistent process for creating travel plans and travel videos, making it difficult to provide users with an optimal experience. Therefore, there is a need for a system that can efficiently and accurately generate customized travel plans and travel videos that meet users' requests.

[1632] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1633] In this invention, the server includes means for inputting the places the user wants to go and the scenery they want to see, means for receiving and analyzing the information input by the user, means for generating a detailed travel plan based on the analyzed data, means for searching for and selecting appropriate video material based on the generated detailed travel plan, and for generating a travel video by editing and combining sound effects and narration, and means for delivering the generated travel video to the user's terminal. This makes it possible to consistently and efficiently generate travel plans and travel videos based on the user's customized detailed requirements, and provide the user with the best simulated travel experience.

[1634] "User" means a person or individual who uses the system to request the generation of a travel plan and travel video.

[1635] The "server" is a computer system that receives and analyzes information input by users and generates comprehensive travel plans and travel videos in cooperation with the text generation means and video generation means.

[1636] A "text generation means" is an artificial intelligence (e.g., natural language generation model) or processing means for generating a detailed travel plan based on information provided by a user.

[1637] The "video generation means" refers to the function and processing means for searching for and selecting relevant video material based on the generated detailed travel plan, editing it, and combining sound effects and narration to generate a travel video.

[1638] A "trip plan" is a detailed, comprehensive plan of the places you want to go, the sights you want to see, the activities you want to experience, etc.

[1639] "Travel Video" means visual and audio content created based on a user's desired travel plan, intended to provide a virtual travel experience.

[1640] "Input means" refers to the interface (e.g., application, web form) and processing means used by the user to input information such as the place they want to go and the scenery they want to see.

[1641] The "means for receiving and analyzing information" refers to a processing means for receiving information sent from a user, analyzing it, and extracting data necessary for creating a travel plan.

[1642] The "distribution means" refers to the function and processing means for converting the generated travel video into a format suitable for the user's terminal and transmitting it to the user.

[1643] MODE FOR CARRYING OUT THE INVENTION

[1644] This invention is a system that allows users to freely input the places they want to go and the scenery they want to see, and generates individually customized travel plans and travel videos based on that information. The system consists of the user's device, a server, a text generation AI, and a video generation AI.

[1645] System configuration

[1646] User's device:

[1647] Users access a dedicated app or website using a device such as a smartphone, tablet, or PC, and can input information such as the places they want to go, the scenery they want to see, and the activities they want to experience.

[1648] server:

[1649] The server receives and analyzes the information entered by the user. The following functional modules are located on the server:

[1650] 1. Text generation AI (e.g. OpenAI GPT-3):

[1651] The server uses text generation AI to generate a detailed travel plan based on the information provided by the user, including specific travel itineraries, tourist information, and recommended activities according to the prompts received.

[1652] 2. Video generation AI (e.g., Synthesia and Pictory):

[1653] Based on the detailed travel plan generated by the text generation AI, the video generation AI searches for and selects the appropriate video material, then edits the footage as needed and combines sound effects and narration to create a travel video.

[1654] Travel video streaming:

[1655] The generated travel video is delivered from the server to the user's device, where it is converted into a format suitable for the user's device and notifies the user that the video is ready.

[1656] User experience:

[1657] Users can receive notifications and watch travel videos on their devices, allowing them to enjoy a simulated travel experience.

[1658] Specific examples

[1659] Example 1: Trip to New York

[1660] Let's say a user enters "New York, Statue of Liberty, Times Square" into a dedicated app and sends it.

[1661] Example prompt sentence:

[1662] "Please create a detailed itinerary for my trip to New York. I'd like a two-day, one-night plan that includes a visit to the Statue of Liberty and Times Square."

[1663] Text generation AI:

[1664] The server passes the input information to a text generation AI (e.g., OpenAI GPT-3), which generates a detailed travel plan based on the prompt, such as "New York, 1 night, 2 days: visit the Statue of Liberty on the first day, and Times Square on the second day."

[1665] Video generation AI:

[1666] Based on a detailed travel plan, a video generation AI (e.g., Synthesia or Pictory) searches, selects, and edits footage of the Statue of Liberty and Times Square, stitching the clips together and adding sound effects and narration to create a complete travel video.

[1667] Travel video streaming:

[1668] The generated travel video is delivered from the server to the user's device. The user receives a notification and can watch the travel video on their device to experience a simulated trip to New York.

[1669] In this way, users can enjoy a realistic travel experience through travel videos customized to their specific needs.The system makes travelling convenient and enjoyable even for people who have difficulty traveling.

[1670] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1671] Program processing steps

[1672] Step 1:

[1673] user:

[1674] Users access a dedicated app or website from their smartphone, tablet, PC, or other device and log in.

[1675] Using the interface on the device to input information about your travel destination, you can enter specific details about the places you want to go, the scenery you want to see, and the activities you want to experience.

[1676] Example: "New York, Statue of Liberty, Times Square, 2 days, 1 night"

[1677] Click the send button to send the entered information to the server.

[1678] Input: Travel information such as places you want to go, sights you want to see, activities you want to experience, etc.

[1679] Output: Travel preference information sent to the server

[1680] Step 2:

[1681] server:

[1682] Receive travel preferences sent by users.

[1683] The data processing engine is used to analyze the received data and extract the information necessary to create a travel plan.

[1684] Specific data processing: Using natural language processing, elements such as place names, tourist spots, and time periods are extracted from the input data.

[1685] Input: Travel preference information submitted by the user

[1686] Output: Extracted element data for creating a travel plan

[1687] Step 3:

[1688] server:

[1689] The extracted data is fed as prompts to a text generation AI (e.g., OpenAI GPT-3) to generate a detailed travel plan.

[1690] Example prompt: "Please create a detailed itinerary for a trip to New York. I'd like a two-day, one-night plan that includes a visit to the Statue of Liberty and Times Square."

[1691] Based on the prompt, the text generation AI generates a detailed plan including the itinerary, order of sightseeing spots, length of stay, and recommended activities.

[1692] Input: Extracted element data for creating a travel plan, prompt text

[1693] Output: A detailed itinerary

[1694] Step 4:

[1695] server:

[1696] It receives a detailed travel plan and passes it to a video generation AI (e.g., Synthesia or Pictory) to generate a video.

[1697] The video generation AI searches for and selects the appropriate video material according to the received plan.

[1698] Specific data processing: Selecting relevant video clips from the video bank and selecting the most suitable scenes.

[1699] Input: Detailed travel plan

[1700] Output: Selecting and clipping footage

[1701] Step 5:

[1702] Video generation AI:

[1703] The selected footage is edited and sound effects and narration are added to create a travel video.

[1704] What you'll do: Stitch together video clips, add narration, and place sound effects where appropriate to complete the video.

[1705] Input: Selected footage

[1706] Output: Generated travel video

[1707] Step 6:

[1708] server:

[1709] Receives travel videos generated by the video generation AI and converts them into a format suitable for the user's device (e.g., MP4).

[1710] After the format conversion, the video is ready to be distributed to the user's device.

[1711] Input: Generated travel video

[1712] Output: Travel videos in device-compatible format

[1713] Step 7:

[1714] server:

[1715] Sends a notification to the user that their travel video is ready.

[1716] You will be notified via push notification or email that your travel video is ready.

[1717] Input: Travel videos in device-compatible format

[1718] Output: Ready notification to user

[1719] Step 8:

[1720] Device:

[1721] Receive notifications and play travel videos based on user instructions.

[1722] Specific behavior: The user presses the play button in the app and the video plays on the device.

[1723] Input: Ready notification, travel video in device-compatible format

[1724] Output: Played travel video

[1725] Step 9:

[1726] user:

[1727] Watch travel videos on your device and enjoy a simulated travel experience.

[1728] Input: Travel video played

[1729] Output: The user's viewing experience

[1730] This allows users to enjoy a realistic travel experience through travel videos customized based on their specific requirements.

[1731] (Application example 1)

[1732] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1733] Conventional travel plan generation systems only provide travel plans based on user input information, making it difficult to customize them to meet the individual preferences and needs of each user. Furthermore, the travel videos based on the provided travel plans are limited and lack realism and reality. Furthermore, since some users find it difficult to travel in person, there is a need for a more realistic virtual travel experience. There is a need to solve these issues and provide users with a more satisfying, customized travel experience.

[1734] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1735] In this invention, the server includes means for a user to input places they want to go and scenery they want to see, a text generation means for receiving the information input by the user and generating a travel plan, a video generation means for generating a travel video based on the generated travel plan, a means for delivering the generated travel video to the user's terminal, a means for customizing the travel plan and travel video based on the user's preferences, and a means for providing a virtual travel experience using a virtual reality device. This allows a user to obtain a customized travel plan that suits their preferences and enjoy a realistic virtual travel experience based on that plan with highly realistic videos.

[1736] "Means for users to input the places they want to go and the scenery they want to see" refers to an interface that allows users to specify their desired travel destinations and the scenery they want to see, and provide that information to the system.

[1737] A "text generator" is a system component that includes artificial intelligence technology for automatically generating a detailed travel itinerary based on information received from a user.

[1738] The "video generation means" is a system component that searches for and edits video material corresponding to the generated travel plan to generate a travel video.

[1739] "Means for delivering the generated travel video to the user's device" refers to the mechanism for sending the completed travel video to various digital devices owned by the user (e.g., smartphone, tablet, PC).

[1740] "Means for customizing travel plans and travel videos based on user preferences" means a system component that individually adjusts and modifies travel plans and corresponding travel videos according to a user's individual preferences and needs.

[1741] "Means for providing a virtual travel experience using a virtual reality device" refers to a mechanism for displaying the generated travel video on a device compatible with virtual reality technology (e.g., a VR headset) to provide users with a virtual travel experience.

[1742] "Order, duration of stay at each tourist spot, and recommended activities" refers to the order in which the tourist spots are visited in the travel plan, the duration of stay at each spot, and the recommended activities at each spot.

[1743] "Searching, selecting, editing and combining sound effects and narration to create a travel video" refers to the process of finding, selecting and organizing suitable footage, and then adding sound effects and audio narration to create a complete travel video.

[1744] Videos "optimized for viewing on virtual reality devices" refer to video content that has been specially adjusted and edited to be compatible with VR technology and optimized to provide users with an immersive visual and auditory experience through a VR headset or similar device.

[1745] This invention relates to a system that generates customized travel plans and travel videos based on user input of places to go and scenery to see. The system mainly consists of a user terminal, a server, text generation AI, video generation AI, and a virtual reality device.

[1746] System Program

[1747] User-provided input information

[1748] Users use a dedicated app or web browser to input the places they want to go, the scenery they want to see, and the activities they want to experience. This information is sent from the user's device to the server.

[1749] Plan generation on the server

[1750] The server analyzes the input information received from the user and extracts relevant data, which is then passed to a text generation AI (e.g., OpenAI GPT-4) to generate a detailed itinerary, including the order of visits, duration of stays, and recommended activities for each tourist spot.

[1751] Travel video generation

[1752] The generated travel plan is passed to a video generation AI (e.g., Synthesia), which searches for and selects corresponding video material. The video generation AI then edits these materials and combines them with sound effects and narration to generate a travel video that is optimized for viewing on a virtual reality device.

[1753] Providing videos to users

[1754] The server delivers the generated travel video to the user's device, which then converts the received video into a viewable format and provides it to the user. The user can then use a virtual reality device to enjoy an immersive virtual travel experience.

[1755] Hardware and software used

[1756] User devices: smartphones, tablets, PCs.

[1757] Server: Hosting of data analysis and generative AI models.

[1758] Text generation AI: Text generation models such as OpenAI GPT-4.

[1759] Video generation AI: Video generation models such as Synthesia.

[1760] Virtual reality devices: VR headsets (e.g., Oculus Quest, HTC Vive).

[1761] Examples of concrete examples and prompts

[1762] Specific examples

[1763] The user enters the following through a dedicated app:

[1764] "I want to go to Kyoto. I want to see Kinkaku-ji Temple and visit Gion."

[1765] The server receives the information entered and sends the following prompt to the text generation AI:

[1766] "The user wants to travel to Kyoto. Please generate a 2-day, 1-night Kyoto itinerary that includes Kinkakuji Temple and Gion."

[1767] Based on the generated itinerary, the server sends the following prompts to the video generation AI:

[1768] "Based on the user's desired Kyoto travel plan, please select footage of Kinkakuji Temple and Gion and generate a two-day, one-night travel video."

[1769] This allows users to obtain a customized travel plan that suits their preferences, and to enjoy an immersive virtual travel experience based on that plan with highly realistic video.

[1770] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1771] Step 1:

[1772] The user inputs the place they want to go and the scenery they want to see.

[1773] Input: A user uses a dedicated app or web browser to enter information such as, "I want to go to Kyoto. I want to see Kinkaku-ji Temple and also visit Gion."

[1774] What it does: A user enters data into an in-app form and presses the "Submit" button.

[1775] Output: Input information is sent from the user's device to the server.

[1776] Step 2:

[1777] The server analyzes the information received from the user.

[1778] Input: Travel preferences entered by the user.

[1779] How it works: The server uses text analysis algorithms to extract important keywords from the received data, such as destinations and views you want to see. Natural language processing (NLP) techniques are used in this process to accurately understand the user's intent.

[1780] Output: The parsed information is formatted in a format that can be passed to the text generation AI.

[1781] Step 3:

[1782] Text generation AI generates detailed travel plans.

[1783] Input: Parsed user information passed from the server.

[1784] How it works: Based on details of the user's desired travel destinations and activities, a text generation AI (e.g., OpenAI GPT-4) generates a travel plan including the travel schedule, order of visits, recommended activities, etc. During this process, the AI ​​model references a trained database to automatically generate the optimal plan.

[1785] Output: The generated detailed travel plan is returned to the server.

[1786] Step 4:

[1787] The server issues instructions to the video generation AI based on the generated travel plan.

[1788] Input: A detailed travel plan from a text generation AI.

[1789] How it works: The server analyzes the generated travel plan and creates a specific prompt for the video generation AI. The prompt might be something like, "Based on the user's desired Kyoto travel plan, please select footage of Kinkakuji Temple and Gion and generate a two-day, one-night travel video."

[1790] Output: Prompt text passed to the video generation AI.

[1791] Step 5:

[1792] Video generation AI generates travel videos.

[1793] Input: Prompt text from the server.

[1794] How it works: Based on a prompt, the video generation AI (e.g., Synthesia) searches and selects relevant video material from a database and edits the video. During the editing process, sound effects and narration are added as needed, creating a video optimized for viewing on a virtual reality device.

[1795] Output: The completed travel video is sent to the server.

[1796] Step 6:

[1797] The server delivers the generated travel video to the user's device.

[1798] Input: Travel videos sent from a video generation AI.

[1799] How it works: The server converts the received video into a format that can be played on the user's device and delivers the video. During this process, the user is notified that the video is ready.

[1800] Output: Travel video delivered to the user's device.

[1801] Step 7:

[1802] Users watch the travel videos that are distributed.

[1803] Input: Travel videos and notifications delivered from the server.

[1804] How it works: Users play travel videos on their devices and enjoy an immersive virtual travel experience by putting on a virtual reality device. Specifically, they put on a VR headset, view the videos in 360 degrees, and experience a simulated travel experience.

[1805] Output: A satisfying virtual travel experience where users watch travel videos.

[1806] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1807] System Overview

[1808] This invention combines an emotion engine with a system that allows users to freely input the places they want to go and the scenery they want to see, and generates individually customized travel plans and travel videos based on that information. The emotion engine recognizes the user's emotions and can adjust the plan to improve the quality of the travel experience. The system consists of the user's device, a server, a text generation AI, a video generation AI, and the emotion engine.

[1809] Explanation of program processing

[1810] User-created plans

[1811] 1. User:

[1812] Access the dedicated app or website from your device (e.g. smartphone, tablet, PC) and log in.

[1813] After logging in, enter the places you want to go, the scenery you want to see, the activities you want to experience, etc. on the travel plan creation screen.

[1814] These input information are sent.

[1815] Plan acceptance and processing on the server

[1816] 2. Server:

[1817] Receive travel preference data sent by users.

[1818] Analyze the received data and extract the necessary information.

[1819] The extracted data is passed to a text generation AI, which is then instructed to generate a detailed travel plan.

[1820] Emotion recognition and plan adjustment using an emotion engine

[1821] 3. Server:

[1822] The travel plan received from the text generation AI is analyzed by an emotion engine, and emotions are recognized based on the user's input information and reactions while watching the video.

[1823] 4. Emotion Engine:

[1824] It recognizes emotions by analyzing a variety of data, such as the user's facial expressions, tone of voice, and touch operations.

[1825] Based on the emotions detected, travel plans are tailored to the user's interests.

[1826] The adjusted travel plan is sent to the server.

[1827] Travel video generation

[1828] 5. Server:

[1829] Based on the adjusted travel plan, instructions for video generation are given to the video generation AI.

[1830] 6. Video generation AI:

[1831] Based on the designated travel plan, the database is searched for relevant video material.

[1832] The searched video material is selected and edited by adding scene transitions between tourist spots, sound effects, narration, etc.

[1833] High-quality travel videos are generated and sent to a server.

[1834] Providing travel videos

[1835] 7. Server:

[1836] It receives travel videos sent from the video generation AI and converts them into a format that can be distributed to the user's device.

[1837] Sends a notification to the user's device that the video is ready.

[1838] 8. Terminal:

[1839] Displays notifications received from the server.

[1840] When the user taps on the notification, a video player will launch and play the travel video, either by streaming or downloading.

[1841] User travel experience

[1842] 9. Users:

[1843] You can watch travel videos on your device and enjoy a simulated travel experience.

[1844] While watching, you can enjoy a deeper experience with narration, subtitles, and emotional engine tuning options.

[1845] Specific examples

[1846] Example 1: Trip to New York

[1847] User: "I want to visit New York. I want to see the Statue of Liberty and visit Times Square."

[1848] Device:

[1849] Users simply enter "New York, Statue of Liberty, Times Square" into a dedicated app and send it.

[1850] server:

[1851] It receives input information and passes it to a text generation AI to generate a detailed travel plan.

[1852] The plan includes specific details such as "a two-day, one-night trip to New York, visiting the Statue of Liberty, and visiting Times Square."

[1853] Emotion Engine:

[1854] The app analyzes user input and emotions from videos the user has watched in the past, and adjusts the itinerary based on the results, for example, changing the time spent at the Statue of Liberty or focusing on the night view of Times Square.

[1855] Video generation AI:

[1856] Based on the tailored travel plan, footage of the Statue of Liberty and Times Square is searched, selected, and edited to create a travel video.

[1857] server:

[1858] The generated travel video is delivered to the user's device.

[1859] Device:

[1860] Users can receive and play travel videos to simulate a trip to New York.

[1861] In this way, users can enjoy a realistic travel experience through travel videos that are customized according to their specific needs and emotions. This system provides convenience and enjoyment to people who have difficulty traveling.

[1862] The processing flow will be explained below.

[1863] Step 1:

[1864] user:

[1865] Access the dedicated app or website from your device (e.g. smartphone, tablet, PC) and enter your user ID and password to log in to the system.

[1866] After logging in, enter the places you want to go, the scenery you want to see, the activities you want to experience, etc. into the text boxes on the travel plan creation screen.

[1867] Once you have completed the input, press the "Submit" button to send the data to the server.

[1868] Step 2:

[1869] server:

[1870] Receive travel preference data sent by users.

[1871] The received data is analyzed and information such as places you want to go, scenery you want to see, and activities you want to do is extracted.

[1872] Based on the extracted information, the text generation AI is instructed to create a travel plan.

[1873] Step 3:

[1874] Text generation AI:

[1875] It receives data sent from the server and automatically generates a detailed travel plan including the order of each tourist spot, the duration of stay, recommended activities, etc.

[1876] The generated travel plan is returned to the server.

[1877] Step 4:

[1878] server:

[1879] It checks the travel plan received from the text generation AI and sends it to the emotion engine to analyze the user's emotions.

[1880] Step 5:

[1881] Emotion Engine:

[1882] It recognizes the user's emotions by analyzing a variety of data, including user input information, past viewing history, facial expressions, voice tone, and touch operations.

[1883] Based on the emotions detected, travel plans are tailored to the user's interests.

[1884] The adjusted travel plan is sent to the server.

[1885] Step 6:

[1886] server:

[1887] Based on the adjusted travel plan, instructions for video generation are given to the video generation AI.

[1888] Step 7:

[1889] Video generation AI:

[1890] Based on the designated travel plan, the database is searched for relevant video material.

[1891] The searched video material is selected and edited by adding scene transitions between tourist spots, sound effects, narration, etc.

[1892] High-quality travel videos are generated and sent to a server.

[1893] Step 8:

[1894] server:

[1895] It receives travel videos sent from the video generation AI and converts them into a format that can be distributed to the user's device.

[1896] Sends a notification to the user's device that the video is ready.

[1897] Step 9:

[1898] Device:

[1899] Displays notifications received from the server.

[1900] When the user taps on the notification, a video player will launch and play the travel video, either by streaming or downloading.

[1901] Step 10:

[1902] user:

[1903] Enjoy a simulated travel experience by watching travel videos played on the device's video player.

[1904] While watching, you can enjoy narration, subtitles and emotional engine tuning options for a richer experience.

[1905] The above are the detailed processing steps of this system, which allows users to enjoy a realistic travel experience from the comfort of their own home.

[1906] Example 2

[1907] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1908] Conventional travel plan generation systems can provide travel plans based on user input, but they do not fully reflect the user's emotions and interests. This makes it difficult to provide a truly enjoyable, customized travel experience. Furthermore, even when generating travel videos based on travel plans, the system is unable to make fine adjustments to meet the user's requests, resulting in a disappointing experience.

[1909] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1910] In this invention, the server includes a means for inputting the places the user wants to go and the scenery they want to see, a text generation means for receiving the information input by the user and generating a travel plan, a sentiment analysis means for analyzing the user's sentiment and making adjustments to the generated travel plan, and a video generation means for generating a travel video based on the adjusted travel plan. This makes it possible to provide a customized travel plan that reflects the user's sentiments and interests, and a high-quality travel video based on that travel plan.

[1911] "Means for users to input places they want to go and scenery they want to see" is an interface that allows users to freely input information about their desired travel destinations, tourist spots, etc.

[1912] "Text generation means for receiving information entered by a user and generating a travel plan" refers to artificial intelligence technology and processes for automatically creating a travel plan based on information entered by a user.

[1913] "Emotion analysis means for analyzing user emotions and adjusting generated travel plans" refers to the technology and process for analyzing a user's emotions and interests and adaptively adjusting the travel plan based on those emotions and interests.

[1914] The "video generation means for generating travel videos based on an adjusted travel plan" refers to an artificial intelligence technology and process for creating travel videos according to an improved travel plan.

[1915] The "means for delivering the generated travel video to the user's terminal" refers to the technology and process for transmitting the travel video to the user's available terminal and enabling it to be played.

[1916] System Overview

[1917] This invention combines an emotion engine with a system that allows users to freely input the places they want to go and the scenery they want to see, and generates individually customized travel plans and travel videos based on that information. The emotion engine recognizes the user's emotions and can adjust the plan to improve the quality of the travel experience. The system consists of the user's device, a server, a text generation AI, a video generation AI, and the emotion engine.

[1918] User's device

[1919] Users access the system using devices such as smartphones, tablets, and PCs. A dedicated app or website is provided, and after logging in, users can enter information such as the places they want to go, the scenery they want to see, and the activities they want to experience on the travel plan creation screen. For example, they can enter specific requests such as, "I want to go to Paris. I want to see the Eiffel Tower and the Louvre."

[1920] Server Roles

[1921] The server receives the travel preference data sent by the user, analyzes it, and extracts the necessary information. Based on the extracted data, it performs the following processes:

[1922] Text generation AI

[1923] The server passes the information entered by the user to a text generation AI, which then generates a detailed itinerary based on data such as "Destination: Paris, Tourist Attractions: Eiffel Tower, Louvre Museum." Specific software used includes OpenAI's GPT-3 model.

[1924] Emotion analysis

[1925] The generated travel plan is passed from the server to an emotion analysis engine. The emotion analysis engine analyzes the user's past viewing data and real-time reaction data (facial expressions, vocal tone, etc.) to identify the user's emotions. For example, if the user smiled a lot when watching a video of the Eiffel Tower in the past, the plan will be adjusted to emphasize those parts. The specific software used is Affectiva's SDK.

[1926] Video generation AI

[1927] The travel plan adjusted through sentiment analysis is then passed back to the server and sent to the video generation AI. The video generation AI searches the database for suitable video material based on the travel plan, selects it, and edits it. It then generates a high-quality travel video by adding scene transitions between each tourist spot, sound effects, and narration. AI technologies such as the DALL-E API are used to generate the video.

[1928] Travel video distribution

[1929] The generated travel video is delivered from the server to the user's device. The server provides the video in streaming or download format and sends a notification to the user. The user can tap the notification to launch the video player and watch the travel video.

[1930] Specific examples

[1931] For example, consider a case where a user inputs, "I want to visit New York. I want to see the Statue of Liberty and also visit Times Square." The server receives this information and passes it to a text generation AI to generate a detailed travel plan. The sentiment analysis engine then analyzes the user's emotions and, for example, adjusts the time spent at the Statue of Liberty or modifies the plan to emphasize the night view of Times Square. Finally, the video generation AI generates a travel video based on this information and distributes it to the user's device via the server.

[1932] In this way, the system provides a customized travel experience based on user input and emotional data.

[1933] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1934] Step 1:

[1935] User: The user accesses the dedicated app or website using a device (smartphone, tablet, PC) and logs in to their account. Once logged in, the travel plan creation screen appears. There, the user enters information about the places they want to go, the scenery they want to see, and the activities they want to experience. For example, they might enter, "I want to visit New York. I want to see the Statue of Liberty and Times Square." After completing the entry, they tap the send button.

[1936] Input: Information about the place you want to go, the scenery you want to see, and the activities you want to experience

[1937] Output: Travel preference data submitted

[1938] Step 2:

[1939] Server: The server receives the travel plan data sent by the user. The received data is first analyzed by a natural language processing module to extract keywords and information needed to create a detailed travel plan. The extracted data is then passed to a text generation AI.

[1940] Input: User's travel preference data

[1941] Output: Extracted data for creating a travel plan

[1942] Step 3:

[1943] Text generation AI: The server passes the extracted data to the text generation AI, which then generates a detailed travel plan based on this data. For example, it generates a plan such as "Two-day, one-night trip to New York, visiting the Statue of Liberty, and visiting Times Square."

[1944] Input: Extracted travel planning data

[1945] Output: Detailed itinerary information

[1946] Step 4:

[1947] Server: The server then passes the detailed travel plan received from the text generation AI to a sentiment analysis engine, which analyzes the user's past viewing data and real-time reaction data (facial expressions, tone of voice, etc.) to identify the user's emotions.

[1948] Input: Detailed travel plan information

[1949] Output: Instructions and data for sentiment analysis

[1950] Step 5:

[1951] Sentiment Analysis Engine: The sentiment analysis engine analyzes the user's emotions using their past viewing data and real-time reaction data. For example, if the user smiles a lot while watching a video of the Eiffel Tower, it will adjust the time spent visiting the Eiffel Tower to be longer. As a result, an adjusted itinerary is generated and sent back to the server.

[1952] Input: detailed travel plan information, user sentiment data

[1953] Output: Adjusted itinerary

[1954] Step 6:

[1955] Server: The server receives the adjusted itinerary from the sentiment analysis engine and passes it to the video generation AI, which is then instructed to generate specific videos based on the adjusted itinerary.

[1956] Input: Adjusted travel plan

[1957] Output: Video generation instruction data

[1958] Step 7:

[1959] Video Generation AI: Based on the adjusted travel plan received from the server, the video generation AI searches the database for relevant video material. It selects the necessary video material and edits it by adding scene transitions between tourist spots, sound effects, and narration. A high-quality travel video is generated and sent to the server.

[1960] Input: Adjusted travel plan

[1961] Output: High-quality travel videos

[1962] Step 8:

[1963] Server: The server receives the travel video sent from the video generation AI and converts it into a format that can be distributed to the user's device. A notification is sent to the user's device when the video is ready.

[1964] Input: High-quality travel videos

[1965] Output: Travel videos that can be distributed, notification data

[1966] Step 9:

[1967] Device: The user's device receives the notification from the server and displays a notification to the user that the video is ready. When the user taps the notification, the video player launches and the video begins streaming or downloading.

[1968] Input: Notification data

[1969] Output: Video play action

[1970] Step 10:

[1971] Users: Users can enjoy a simulated travel experience by watching travel videos generated on their device. While watching, they can enjoy narration, subtitles, and scenes adjusted by the emotion engine, which enhances the experience.

[1972] Input: Video play action

[1973] Output: User's travel experience

[1974] (Application example 2)

[1975] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1976] Conventional travel planning and video generation systems have difficulty in flexibly changing plans and personalizing them in response to user emotions. This has led to issues such as not being able to provide users with the travel experience they truly want to enjoy, and the quality of the content being fixed.

[1977] The specification processing by the specification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for inputting places the user wants to go and scenery they want to see, text generation means for receiving the information input by the user and generating a travel plan, emotion recognition means for recognizing the user's emotions in real time and adjusting the travel plan, video generation means for generating travel videos based on the adjusted travel plan, and means for delivering the generated travel videos to the user's terminal. This makes it possible to flexibly change the travel plan in response to the user's emotions and generate high-quality travel videos.

[1978] A "user" is an individual who uses the system to generate travel plans and travel videos.

[1979] The "means for inputting the place you want to go and the scenery you want to see" is a device or software that provides an interface for the user to input the place you want to go and the scenery you want to see.

[1980] The "text generation means for receiving and generating a travel plan" is a system that uses natural language processing technology to automatically generate a travel plan based on information entered by a user.

[1981] "Emotion recognition means" refers to a device or software that analyzes and recognizes emotions in real time from a user's facial expressions, tone of voice, touch operations, etc.

[1982] "Video generation means for generating travel videos" refers to a device or software that searches for and selects video materials based on a coordinated travel plan, and then edits and adds sound effects and commentary to generate travel videos.

[1983] "Means for delivering the generated travel footage to the user's terminal" means a device or software for providing the generated travel footage to the user's terminal in a streaming or downloadable format.

[1984] The term "system" refers to a set of devices and software that includes these means and operates in conjunction with each other.

[1985] This invention relates to a system that allows users to input the places they want to go and the scenery they want to see, and generates individually customized travel plans and travel videos based on that information. The system incorporates an emotion recognition function that recognizes the user's emotions and adjusts the plan to improve the quality of the travel experience. The system consists of a user terminal, a server, a text generation AI, a video generation AI, and an emotion recognition engine.

[1986] System Overview

[1987] 1. User Device:

[1988] It provides an interface for users to input the places they want to go and the scenery they want to see, and is usually used on a smartphone, tablet, or PC.

[1989] 2. Server:

[1990] It has a text generator to receive input information and generate a travel itinerary, with the primary software used here being a generative AI model such as OpenAI's GPT-3.

[1991] The app is equipped with an emotion recognition engine that uses facial expression analysis, voice tone analysis, and touch operation analysis to recognize users' emotions in real time and adjust travel plans accordingly.

[1992] It has a video generation means for generating travel videos based on the adjusted travel plan. Video generation includes video material search, selection, editing, and adding sound effects and commentary, and for this purpose, a specific video generation AI (such as Deep Dream Generator) is used.

[1993] It also has the function to distribute the generated travel footage to the user's device.

[1994] These features provide the following benefits:

[1995] Specific examples

[1996] User's New York travel plans

[1997] user:

[1998] "I want to visit New York. I want to see the Statue of Liberty and visit Times Square."

[1999] Input Interface:

[2000] Users simply enter "New York, Statue of Liberty, Times Square" into a dedicated application on their smartphone.

[2001] server:

[2002] It receives the input information and generates a detailed travel plan using OpenAI GPT-3.

[2003] Emotion Recognition Engine:

[2004] Next, the system analyzes the user's emotions based on their past video viewing history and real-time emotional data (e.g., facial expression analysis, voice tone analysis, touch operation analysis) and adjusts the travel plan accordingly. For example, if the user prefers night views, the system will adjust the time to visit Times Square at night.

[2005] Video generation AI:

[2006] Based on the tailored travel plan, video footage is searched, edited, and sound effects and commentary are added to generate high-quality travel footage.

[2007] Delivery Method:

[2008] The generated travel footage is delivered to the user's device via streaming or download.

[2009] Prompt Sentence Examples

[2010] text

[2011] Create a detailed travel plan for: New York, visit the Statue of Liberty, and Times Square.

[2012] Based on the user's emotional state (happy), adjust the travel plan: 1-day trip in New York, visit the Statue of Liberty, and explore Times Square in the evening.

[2013] This allows users to enjoy a realistic travel experience through personalized travel plans and travel videos that are tailored to their specific needs and emotions. This system provides convenience and enjoyment to people who have difficulty traveling.

[2014] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[2015] Step 1:

[2016] Users input the places they want to go and the scenery they want to see. Using a device such as a smartphone or tablet, users input the places they want to go and the scenery they want to see into the input form within the dedicated application, and then send that information to the server.

[2017] Step 2:

[2018] The server receives and analyzes the data sent by the user. The server receives the travel desire data (places to go and scenery to see) entered by the user and sends it to the text generation AI. The text generation AI then analyzes the data as prompts to generate a travel plan.

[2019] Step 3:

[2020] A text generation AI creates a detailed travel plan. The server sends prompts based on the user's input data to a generative AI model such as OpenAI's GPT-3, which generates a detailed travel plan including the order of sightseeing spots, duration of stay, and recommended activities.

[2021] Step 4:

[2022] The server analyzes the generated travel plan using an emotion recognition engine. The server sends the generated travel plan to the emotion recognition engine, which analyzes the user's emotions based on the user's input information and real-time emotion data (e.g., facial expression analysis, voice tone analysis, touch operation analysis).

[2023] Step 5:

[2024] The emotion recognition engine adjusts the travel plan. The emotion recognition engine adjusts the travel plan based on the analyzed user's emotional data. For example, if the user likes night views, the engine will increase nighttime activities or change the duration of stays.

[2025] Step 6:

[2026] The server sends the adjusted travel plan to the video generation AI. The server provides the adjusted travel plan to the video generation AI, and the video generation AI begins work to generate travel videos.

[2027] Step 7:

[2028] The video generation AI searches, selects, and edits video footage. The video generation AI searches, selects, and edits relevant video footage from a database. It then adds scene transitions, sound effects, and commentary to create a travel video.

[2029] Step 8:

[2030] The generated travel video is sent to the server. The video generation AI sends the completed travel video to the server, which then converts it into a format that can be distributed to the user's device.

[2031] Step 9:

[2032] The server sends a notification to the user's device and delivers the travel video. The server notifies the user's device that the generated travel video is ready, and then delivers the travel video to the user's device in streaming or download format.

[2033] Step 10:

[2034] The user watches the travel video on the device. The user can check the notification and play the travel video on the device to enjoy a personalized travel experience.

[2035] 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.

[2036] 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> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. 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 voice, text data indicating text, and image data indicating an image is also input. 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.

[2037] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[2038] 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.

[2039] FIG. 9 is a diagram illustrating 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 actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect 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.

[2040] 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.

[2041] 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).

[2042] 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 indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, 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 indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[2043] 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."

[2044] 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.

[2045] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[2046] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[2047] 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.

[2048] 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.

[2049] 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.

[2050] The hardware resource for executing a specific process can be any of the following processors: An example of a processor 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. Another example of a processor is 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.

[2051] The hardware resource that executes the specific processing 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 processing may be a single processor.

[2052] 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.

[2053] 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.

[2054] 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.

[2055] 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.

[2056] The following is further disclosed regarding the above embodiment.

[2057] (Claim 1)

[2058] a means for the user to input the places they want to go and the scenery they want to see;

[2059] a text generation means for receiving information input from a user and generating a travel plan;

[2060] a video generation means for generating a travel video based on the generated travel plan;

[2061] A means for delivering the generated travel video to a user's device;

[2062] A system including:

[2063] (Claim 2)

[2064] 2. The system according to claim 1, wherein the travel plan generated by the text generation means includes the order of each tourist spot, the length of stay, and recommended activities.

[2065] (Claim 3)

[2066] 2. The system according to claim 1, wherein the video generating means searches for and selects video material of selected tourist spots, edits it, and combines it with sound effects and narration to generate a travel video.

[2067] "Example 1"

[2068] (Claim 1)

[2069] a means for the user to input the places they want to go and the scenery they want to see;

[2070] means for receiving and analyzing information input by a user;

[2071] a text generation means for generating a detailed travel plan based on the analyzed data;

[2072] a video generation means for searching for and selecting corresponding video materials based on the generated detailed travel plan, and for generating a travel video by editing the video materials and combining the video materials with sound effects and narration;

[2073] A means for delivering the generated travel video to a user's device;

[2074] A system including:

[2075] (Claim 2)

[2076] 2. The system according to claim 1, wherein the detailed travel plan generated by the text generation means includes the order of each tourist spot, the duration of stay, and recommended activities.

[2077] (Claim 3)

[2078] 2. The system according to claim 1, wherein the video generating means searches for and selects video materials of selected tourist spots, and generates a travel video by editing and combining sound effects and narration.

[2079] "Application Example 1"

[2080] (Claim 1)

[2081] a means for the user to input the places they want to go and the scenery they want to see;

[2082] a text generation means for receiving information input from a user and generating a travel plan;

[2083] a video generation means for generating a travel video based on the generated travel plan;

[2084] A means for delivering the generated travel video to a user's device;

[2085] a means of customizing travel plans and travel videos based on user preferences;

[2086] a means for providing a virtual travel experience using a virtual reality device;

[2087] A system including:

[2088] (Claim 2)

[2089] 2. The system according to claim 1, wherein the travel plan generated by the text generation means includes the order of each tourist spot, the length of stay, and recommended activities.

[2090] (Claim 3)

[2091] The system of claim 1, wherein the video generation means searches for and selects video footage of selected tourist spots, edits it, and combines it with sound effects and narration to generate a travel video, and the generated travel video is optimized for viewing on a virtual reality device.

[2092] "Example 2: Combining Emotion Engines"

[2093] (Claim 1)

[2094] a means for the user to input the places they want to go and the scenery they want to see;

[2095] a text generation means for receiving information input from a user and generating a travel plan;

[2096] a sentiment analysis means for analyzing a user's sentiment and adjusting the generated travel plan;

[2097] a video generating means for generating a travel video based on the adjusted travel plan;

[2098] A means for delivering the generated travel video to a user's device;

[2099] A system including:

[2100] (Claim 2)

[2101] The system of claim 1, wherein the travel plan generated by the text generation means includes the order of each tourist spot, the length of stay, and recommended activities, and is further adjusted based on the user's interests and concerns by a sentiment analysis means.

[2102] (Claim 3)

[2103] The system according to claim 1, wherein the video generation means searches for and selects video footage of selected tourist spots, edits it, and combines it with sound effects and narration to generate a travel video, and generates the video based on a travel plan adjusted by the emotion analysis means.

[2104] "Application example 2 when combining emotion engines"

[2105] (Claim 1)

[2106] a means for the user to input the places they want to go and the scenery they want to see;

[2107] a text generation means for receiving information input from a user and generating a travel plan;

[2108] an emotion recognition means for recognizing a user's emotion in real time and adjusting the travel plan;

[2109] a video generation means for generating a travel video based on the adjusted travel plan;

[2110] A means for delivering the generated travel video to a user's device;

[2111] A system including:

[2112] (Claim 2)

[2113] The system of claim 1, wherein the travel plan generated by the text generation means includes the order of each tourist spot, the length of stay, and recommended activities, and is further adjusted based on the user's emotions.

[2114] (Claim 3)

[2115] 2. The system according to claim 1, wherein the video generating means searches for and selects video material of selected tourist spots, edits it, and combines it with sound effects and commentary to generate a travel video. [Explanation of symbols]

[2116] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. a means for the user to input the places they want to go and the scenery they want to see; a text generation means for receiving information input from a user and generating a travel plan; a video generation means for generating a travel video based on the generated travel plan; A means for delivering the generated travel video to a user's device; A system including:

2. 2. The system according to claim 1, wherein the travel plan generated by said text generating means includes the order of each tourist spot, the duration of stay, and recommended activities.

3. 2. The system according to claim 1, wherein the video generating means searches for and selects video materials of selected tourist spots, edits them, and combines them with sound effects and narration to generate a travel video.

Images