system

Abstract

Provide a system. [Solution] means for accepting destination and time period and real or fictional selections from a customer; means for collecting relevant data based on said selections; means for generating images or videos including a specified destination, time period, and fictional elements based on the collected data; The system includes means for transmitting the generated image or video to a customer terminal.

Description

[Technical Field]

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

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

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

[0004] Conventional virtual reality (VR) systems only allow users to select a limited number of real-world locations for their travel experiences, making it difficult to provide experiences that include specific time periods or fictional elements. Furthermore, these systems lack the flexibility to respond immediately to user requests and are unable to generate content in real time. Therefore, there has been a need for a system that overcomes these limitations and enables users to virtually travel to a wide range of locations, including desired time periods and fictional elements. [Means for solving the problem]

[0005] To solve the above problems, the present invention provides the following means. The system includes a means for accepting a customer's selection of a destination, a time period, and whether the destination is real or fictional. This means allows the user to use a VR terminal to specify a specific location, time period, and real or fictional elements. Next, the system includes a means for collecting related data based on the selection. The collected data includes, for example, geographic information and historical data, thereby gathering detailed information about the specified time period and location. The system then includes a means for generating images or videos including the specified destination, time period, and fictional elements based on the collected data. This generation means uses generative AI to create high-quality content that meets the specified conditions. Finally, the system includes a means for transmitting the generated images or videos to the customer's device. This means allows the user to instantly experience a virtual journey on the device.

[0006] "Customer" refers to a user who uses this system to experience a virtual trip.

[0007] "Destination" refers to the location the customer wishes to visit on their virtual trip.

[0008] "Era" refers to the specific era designated by the customer for the virtual trip.

[0009] "Real or fictional" refers to an indicator of whether the landscape specified by the customer is based on the real world or includes fictional elements.

[0010] "Means" refers to a method or device for realizing a specific function or role.

[0011] "Related Data" refers to information regarding necessary geographical information, historical data, and fictional elements relating to a specified destination or time period.

[0012] "Collection" refers to the act of gathering necessary information or data.

[0013] "Generative AI" refers to artificial intelligence technology that automatically generates content such as images and videos based on specified conditions.

[0014] "Images or Video" means visual content and refers to the visual data used to provide the virtual travel experience.

[0015] "Device" refers to the device (e.g., VR headset, computer, smartphone) used by a customer to experience the virtual journey.

[0016] "Transmitting" refers to the act of sending the generated content to the customer's terminal over a network. [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] This invention is a system that provides a virtual journey including a destination and time period specified by a customer, and real or fictional elements, and is specifically implemented with the following configuration and operation.

[0039] Accepting user requests

[0040] First, the user launches a virtual travel application using a VR device. On the application interface, the user can input the destination (e.g., "Medieval Europe"), the desired era (e.g., 1400), and the choice of real or fictional (e.g., "Add fictional elements"). Once the selection is confirmed, the user presses the submit button to complete the request.

[0041] Request analysis and data collection

[0042] The device converts the user's selections into a format such as JSON and sends it to the server. The server parses the data and determines the destination, time period, and whether it is real or fictional. Based on this information, the server then gathers relevant geographic information, historical data, and fictional elements from databases and external resources.

[0043] Content Generation

[0044] Based on the collected data, the server sends a request to the generative AI, which includes details about the user's destination, time period, and fictional elements. The generative AI then generates high-quality image or video content based on the request. Depending on the specified conditions, the AI ​​might recreate a medieval European townscape with the atmosphere of 1400, adding fictional elements (e.g., a castle in the sky).

[0045] Content conversion and delivery

[0046] The generated content is temporarily stored in a data storage device, after which the server converts this data into a format optimized for the VR environment (e.g., VR-compatible 360-degree video or 3D model), and the converted content is sent to the customer's device.

[0047] Playing and experiencing content

[0048] The device decodes the received content and adapts it for the VR environment, allowing the user to put on a VR headset and experience a virtual journey to a specified destination and time period, including real or fictional elements.

[0049] Specific examples

[0050] For example, if a user selects "future Tokyo," "the year 2300," and "floating buildings," the server collects data on futuristic Tokyo and sends instructions to the generative AI to add floating buildings as fictional elements. The generative AI then generates high-resolution images and videos based on this data, which the server then converts into VR format and sends to the user's device. In this way, the user can experience Tokyo in the future in 2300 in virtual reality.

[0051] In this way, the present invention realizes a system that can provide a high-quality virtual travel experience to users, including destinations and eras freely selected by the user, and including real or fictional elements.

[0052] The processing flow will be explained below.

[0053] Step 1:

[0054] User: Starts the VR device and opens the virtual travel application. From the application interface, selects the destination, time period, and real or fictional elements. Confirms the selection and presses the submit button to submit the request.

[0055] Step 2:

[0056] Terminal: Converts the user's selections into JSON or a similar format, generates a request data packet, and sends the converted data packet to the server.

[0057] Step 3:

[0058] Server: Receives the transmitted request data. Parses the received data to determine the destination, era, and real or fictional designation.

[0059] Step 4:

[0060] Server: Based on the analyzed data, collects related geographical information, historical data, and information about fictional elements from databases and external resources, such as geographical information APIs and historical databases.

[0061] Step 5:

[0062] Server: Based on the collected data, it sends instructions to the generative AI, including requests to generate high-quality images or videos of specified destinations, time periods, and fictional elements.

[0063] Step 6:

[0064] Generative AI: Generates image and video content using related data based on instructions received from the server. Creates high-resolution content that reflects specified conditions.

[0065] Step 7:

[0066] Generative AI: Store generated content in temporary data storage.

[0067] Step 8:

[0068] Server: Retrieves generated content from data storage and optimizes it for the VR environment, converting it into a format that can be played on the user's VR device, such as 360-degree videos or 3D models.

[0069] Step 9:

[0070] Server: Sends optimized content to the user's device.

[0071] Step 10:

[0072] Terminal: Decodes the received content and prepares it for playback in the VR application. Once playback preparation is complete, the user can experience a virtual journey.

[0073] Step 11:

[0074] User: Wears VR equipment and experiences the virtual travel content generated from the actual experience. Enjoys the designated destination, time period, and fictional elements.

[0075] Example 1

[0076] 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."

[0077] Conventional virtual travel systems have struggled to allow detailed customization of user-specified destinations and time periods, making it difficult to reflect specific elements realistically and in real time. In particular, providing a high-quality virtual reality experience that includes fictional elements requires the collection and processing of large amounts of data, and due to its complexity, it takes a significant amount of time to generate optimized images and videos.

[0078] 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.

[0079] In this invention, the server includes means for accepting selections of a destination, a time period, and whether the destination is real or fictional from a customer, means for converting the selections into JSON-formatted data and sending the JSON-formatted data to the server, means for the server to analyze the JSON-formatted data and identify the destination, the time period, and the fictional elements, means for collecting geographic information, historical data, and the fictional elements based on the identified data, means for sending a request to a generative AI based on the collected data and generating images or videos based on specified conditions, means for converting the generated images or videos into a format suitable for a virtual reality environment, and means for transmitting the converted images or videos to the customer's device. This makes it possible to quickly provide a high-quality virtual travel experience that includes the destination, time period, and real or fictional elements freely selected by the customer.

[0080] "Customer" means an end user of the virtual travel system.

[0081] A "destination" is a specific place or region that a user wishes to visit in a virtual journey.

[0082] An "era" is a particular historical period or era that a user chooses to experience in their virtual journey.

[0083] "Real Choice" is a setting where the user chooses to travel in a virtual world based on a real place and time.

[0084] "Fictional Choice" is a setting where the user chooses to take a virtual journey that includes fictional or imaginary elements.

[0085] "JSON format data" is a data format used to structure information entered by a user and send it to a server.

[0086] "Server" means a computer device that analyzes requests from users and collects and processes necessary data based on the requests.

[0087] "Geographic information" is data about the geographic characteristics of a particular location.

[0088] "Historical data" is information about historical facts and events relating to a particular period.

[0089] "Fictional elements" are imaginary elements that do not exist in reality but can be added to a virtual journey.

[0090] "Generative AI" is an artificial intelligence system that generates new content such as images and videos based on given input.

[0091] A "virtual reality environment" is a digital space that uses computer graphics to provide users with a virtual experience.

[0092] A "VR terminal" is a hardware device that provides a visual and sensory virtual reality experience.

[0093] "Content" refers to visual materials, such as generated images and videos, that allow users to experience a virtual journey.

[0094] The present invention is a system for providing a virtual journey involving customer-specified destinations, time periods, and real or fictional elements. The system includes three main components: a user, a terminal, and a server.

[0095] Accepting user requests

[0096] The user launches a dedicated virtual travel application using a VR device. On the application interface, the user inputs the desired destination (e.g., "Medieval Europe"), the time period (e.g., 1400), and the real or fictional element (e.g., "Add fictional element"). Once the input information is confirmed, the user presses the submit button to complete the request.

[0097] Request analysis and data collection

[0098] The device converts the user's input into JSON format data and sends it to the server. The server analyzes the received data and identifies the destination, era, and fictional elements. Based on this information, the server collects related geographic information and historical data using a geographic information API and a history database, and also obtains data related to the fictional elements from external resources.

[0099] Content Generation

[0100] The server then uses the collected data to send a request to a generative AI (e.g., a generative adversarial network (GAN)). This request includes details about the user's destination, time period, and fictional elements. The generative AI then uses this request to generate relevant, high-quality image and video content. For example, it could recreate a medieval European townscape in the 1400s, adding fictional elements like a floating castle.

[0101] Content conversion and delivery

[0102] The generated content is temporarily stored in the server's data storage, then the server converts this data into a format optimized for the VR environment (e.g., VR-compatible 360-degree video or 3D model), and the converted content is sent to the user's device using a secure data communication protocol (e.g., HTTPS).

[0103] Playing and experiencing content

[0104] The device decodes the received content and applies it to the VR environment, allowing the user to experience a virtual journey through specified destinations, time periods, and fictional elements using a VR headset. The user wears the headset and manipulates the visual experience through physical movements.

[0105] Specific examples

[0106] For example, if a user selects "future Tokyo," "the year 2300," and "floating buildings," the server collects data on futuristic Tokyo and sends instructions to the generative AI to add buildings floating in the sky as fictional elements. The generative AI generates high-resolution images and videos based on these instructions, and the server converts them into VR format and sends them to the user's device, allowing the user to experience future Tokyo in 2300 in virtual reality.

[0107] Example prompt sentence:

[0108] "Recreate a medieval European cityscape from 1400 and add a floating castle."

[0109] "Generate a future Tokyo in the year 2300, including floating buildings."

[0110] In this way, the system can provide a high-quality, immersive virtual travel experience, with customizable destinations and time periods, including real or fictional elements, that users can choose from.

[0111] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0112] Step 1: Accepting a user request

[0113] The user launches a virtual travel application using a VR device. The user inputs the destination (e.g., "Medieval Europe"), the era (e.g., 1400), and the fictional element (e.g., "Add fictional element") into the interface, confirms it, and sends the request.

[0114] Input: User-selected destination, era, fictional elements

[0115] Output: Request data including selections

[0116] Step 2: Parsing the request and collecting data

[0117] The device converts the user's input into JSON format and sends it to the server. The server parses the received JSON data to identify the destination, time period, and fictional elements. Based on this information, the server uses geographic information APIs and historical databases to collect related information.

[0118] Input: Request data in JSON format

[0119] Data processing / calculation: JSON data analysis, API query sending, database search

[0120] Output: Related geographical information, historical data, and fictional element data

[0121] Step 3: Content generation

[0122] The server sends a request to a generative AI based on the collected data, which generates high-quality images or videos according to the specified conditions (destination, time period, fictional elements) (e.g., recreating a medieval European townscape with the atmosphere of 1400 and adding a floating castle in the sky).

[0123] Input: Geographical information, historical data, fictional element data

[0124] Data processing / calculation: Image and video generation using generative AI

[0125] Output: High-quality images or videos generated

[0126] Step 4: Convert and send content

[0127] The generated content is temporarily stored in the server's data storage, then the server converts the generated content into a format optimized for the VR environment (VR-compatible 360-degree video or 3D model), and the converted content is sent to the device using a secure data communication protocol.

[0128] Input: Generated images or videos

[0129] Data processing / calculation: Data conversion to VR format

[0130] Output: VR-compatible content

[0131] Step 5: Play and experience the content

[0132] The device decodes the received VR-compatible content and allows the user to experience a virtual journey. The user puts on a VR headset and experiences a virtual reality that includes the specified destination, time period, and fictional elements.

[0133] Input: VR-compatible content

[0134] Data processing / calculation: Decoding, VR environment adaptation

[0135] Output: An immersive virtual travel experience

[0136] By going through the above processing steps, the user can enjoy a high-quality virtual travel experience based on the conditions selected.

[0137] (Application example 1)

[0138] 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."

[0139] Conventional travel experiences are subject to physical and time constraints, making it difficult to provide experiences that include specific time periods or fictional elements. Furthermore, despite advances in virtual reality technology, it has not been easy for users to freely choose a destination and time period and add real or fictional elements to their experiences. The purpose of this invention is to solve these problems and provide a system that allows users to enjoy a high-quality virtual travel experience based on their own free choices.

[0140] 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.

[0141] In this invention, the server includes means for receiving a destination, a time period, and a real or fictional setting selection from a customer, means for collecting related data based on the selection, means for generating an image or video including the specified destination, time period, and fictional elements based on the collected data, means for transmitting the generated image or video to a customer's terminal, and means for using a head-mounted display to allow the customer to experience the transmitted image or video in virtual reality format, thereby enabling the user to experience the destination and time period of their choice in virtual reality.

[0142] "Customer" means a user who uses the system to experience virtual travel content.

[0143] "Destination" means a geographic location that a customer specifies they would like to visit on their virtual trip.

[0144] An "era" is a specific historical period or era that a customer would like to experience in their virtual travels.

[0145] "Real or fictional choice" refers to the choice a customer makes to decide whether to include real elements in their virtual journey or add fictional elements.

[0146] "Related Data" means geographic information, historical data, and information containing fictional elements relating to a specified destination and time period.

[0147] "Images or Video" means visual content generated based on a specified destination, time period, and fictional elements.

[0148] "Device" means the device (e.g., smartphone, head-mounted display) used by Customer to receive and display Virtual Travel Content.

[0149] A "head-mounted display" is a device worn by a customer to visually experience content in a virtual reality format.

[0150] The present invention is a system for providing a virtual journey including a destination and a time period specified by a user, and including real or fictional elements. Specific embodiments are described below.

[0151] Accepting user requests

[0152] The user launches a virtual travel application using a VR device. On the application interface, the user can input the destination (e.g., "Medieval Europe"), the desired era (e.g., 1400), and the choice of real or fictional (e.g., "Add fictional elements"). Once the selection is confirmed, the user presses the submit button to complete the request.

[0153] Request analysis and data collection

[0154] The device converts the user's selections into a format such as JSON and sends it to the server. The server parses the data and determines the destination, time period, and whether it is real or fictional. Based on this information, the server then gathers relevant geographic information, historical data, and fictional elements from databases and external resources.

[0155] Content Generation

[0156] Based on the collected data, the server sends a request to a generative AI. This request includes details about the user's specified destination, time period, and fictional elements. The generative AI (e.g., OpenAI® GPT-3® or DALL-E) then generates high-quality image or video content based on the request. Depending on the specified conditions, it might recreate a medieval European townscape with the atmosphere of 1400, adding fictional elements (e.g., a floating castle).

[0157] Content conversion and delivery

[0158] The generated content is temporarily stored in a data storage device, after which the server converts this data into a format optimized for the VR environment (e.g., VR-compatible 360-degree video or 3D model), and the converted content is sent to the customer's device.

[0159] Playing and experiencing content

[0160] The device decodes the received content and adapts it for the VR environment, allowing the user to put on a VR headset and experience a virtual journey to a specified destination and time period, including real or fictional elements.

[0161] Specific examples

[0162] For example, if a user selects "future Tokyo," "the year 2300," and "floating buildings," the server collects data on futuristic Tokyo and sends instructions to the generative AI to add floating buildings as fictional elements. The generative AI then generates high-resolution images and videos based on this data, which the server then converts into VR format and sends to the user's device. In this way, the user can experience Tokyo in the future in 2300 in virtual reality.

[0163] Example of input prompt for generative AI model

[0164] Recreate "Medieval Europe in 1400" and add "floating castles in the sky."

[0165] In this way, the present invention realizes a system that can provide a high-quality virtual travel experience to users, including destinations and eras freely selected by the user, and including real or fictional elements.

[0166] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0167] Step 1: Accepting a user request

[0168] The user launches a virtual travel application using a VR device. On the application interface, the user inputs the destination (e.g., "Medieval Europe"), the time period (e.g., 1400), and the real or fictional choice (e.g., "Add fictional elements"). Once the selection is confirmed, the user presses the submit button to complete the request.

[0169] Input: Destination, era, real or fictional choice

[0170] Output: User request data

[0171] Step 2: Parsing the request and collecting data

[0172] The device converts the user's selections into JSON format and sends it to the server, which parses the data to identify the destination, time period, and whether it is real or fictional. Based on this, the server can gather geographic information, historical data, and fictional elements from databases and external resources.

[0173] Input: User request data

[0174] Output: Data based on destination, era, real or fictional designation

[0175] Step 3: Content generation

[0176] Based on the collected data, the server sends a request to the generative AI model, which includes details about the destination, time period, and fictional elements specified by the user, and the generative AI then generates high-quality image or video content.

[0177] Input: Data based on destination, era, real or fictional designation

[0178] Output: Generative AI image or video content

[0179] Step 4: Convert and send content

[0180] The generated content is temporarily stored in a data storage, after which the server converts this data into a format optimized for the VR environment (e.g., VR-compatible 360-degree video or 3D model), and the converted content is sent to the customer's device.

[0181] Input: Generated image or video content

[0182] Output: Content converted to VR format

[0183] Step 5: Play and experience the content

[0184] The device decodes the received content and adapts it for the VR environment. The user puts on the VR headset and experiences a virtual journey to a specified destination and time period, including real or fictional elements.

[0185] Input: Content converted to VR format

[0186] Output: Virtual travel content for user experience

[0187] In this way, users can enjoy a high-quality virtual travel experience, with destinations and time periods of their choice, and including real or fictional elements.

[0188] 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.

[0189] This invention is a system that provides a virtual trip to a destination and time period specified by a customer, including real or fictional elements, and includes a function that recognizes a user's emotional data in real time by combining an emotion engine and dynamically adjusts the virtual trip experience based on the emotion. It is implemented with the following configuration and operation.

[0190] Accepting user requests

[0191] First, the user launches a virtual travel application using a VR device. On the application interface, the user can input the destination (e.g., "Medieval Europe"), the desired era (e.g., 1400), and the choice of real or fictional (e.g., "Add fictional elements"). Once the selection is confirmed, the user presses the submit button to complete the request.

[0192] Request analysis and data collection

[0193] The device converts the user's selections into JSON or a similar format and generates a request data packet. The data packet is sent to the server, which parses it to identify the destination, time period, and real or fictional designation. Based on this information, the server then gathers relevant geographic information, historical data, and fictional elements from databases and external resources.

[0194] Content Creation and Delivery

[0195] Based on the collected data, the server sends a request to the generative AI. The instructions include details about the destination, time period, and fictional elements specified by the user. The generative AI then generates high-quality images or videos that reflect the specified conditions. The generated content is then temporarily stored in data storage.

[0196] Content optimization and delivery

[0197] The server retrieves the generated content from the data storage and optimizes it for the VR environment. The converted VR format content is then sent to the user's device.

[0198] Emotion Engine Operation

[0199] The device is equipped with an emotion engine to recognize the user's emotions in real time. The emotion engine collects and analyzes the user's facial expressions, voice, heart rate, and other biometric information. This emotion data is sent to a server.

[0200] Dynamically adjust content based on emotions

[0201] The server receives the user's emotional data and dynamically adjusts the content during the virtual journey based on the analysis results. For example, if the user is excited, the scenery can be changed to more vibrant colors, or if the user is bored while visiting a quiet place, an interesting event can be triggered.

[0202] Content playback and experience

[0203] The device decodes the received content and adapts it for the VR environment, allowing users to put on a VR headset and experience a virtual journey that includes a specified destination and time period, as well as real or fictional elements. The content and presentation of the experience will also change dynamically depending on the user's emotions.

[0204] Specific examples

[0205] For example, if a user selects "Tokyo of the future," "the year 2300," or "a building floating in the sky" and begins a virtual trip using the emotion engine, the server collects related data and generates content based on that data using generative AI. During the virtual trip, the emotion engine analyzes the user's emotions, such as smiles and surprise, in real time and sends that information to the server. If the user shows surprise, the server issues instructions to the generative AI, adding effects such as the floating building suddenly moving.

[0206] In this way, the present invention realizes a system that can provide a high-quality, more personalized virtual travel experience that dynamically incorporates the user's emotions.

[0207] The processing flow will be explained below.

[0208] Step 1:

[0209] User: Starts the VR device and opens the virtual travel application. From the application interface, selects a destination (e.g., "Medieval Europe"), a time period (e.g., 1400), and real or fictional elements (e.g., "Add fictional elements"). Confirms the selection and presses the submit button to submit the request.

[0210] Step 2:

[0211] Terminal: Converts the user's selections into JSON or a similar data format, generates a request data packet, and sends the data packet to the server.

[0212] Step 3:

[0213] Server: Receives the transmitted request data. Analyzes the received data to determine the user's desired destination, time period, and real or fictional elements.

[0214] Step 4:

[0215] Server: Based on the analyzed data, collects geographic information related to the destination, historical data related to the specified period, and information about fictional elements from databases and external resources, for example, using a geographic information API or a historical database.

[0216] Step 5:

[0217] Server: Based on the collected data, the server sends a content generation request to the generative AI. The request includes instructions to generate images and videos that match the conditions specified by the user.

[0218] Step 6:

[0219] Generative AI: Receives requests from the server. Generates high-quality images or videos based on the specified destination, time period, and fictional elements. The generated content is temporarily stored in data storage.

[0220] Step 7:

[0221] Server: Retrieves the generated content from data storage and converts it into a format optimized for the VR environment (e.g., VR-compatible 360-degree video or 3D model). Once the conversion is complete, the server prepares the content for transmission to the user's device.

[0222] Step 8:

[0223] Server: Sends optimized content data to the user's terminal.

[0224] Step 9:

[0225] Device: Decodes the received content and applies it to the VR application.

[0226] Step 10:

[0227] Device: The emotion engine collects and analyzes the user's facial expressions, voice, heart rate, and other biometric information in real time. Emotion data is periodically sent to the server.

[0228] Step 11:

[0229] Server: Receives and analyzes the emotion data sent from the emotion engine. Based on the analysis results, the content during the virtual journey is dynamically adjusted. For example, if the user is surprised, various effects are added.

[0230] Step 12:

[0231] Server: Instructs the generative AI to adjust the content according to the emotion and generates new content. The generated content is saved in data storage and retransmitted as necessary.

[0232] Step 13:

[0233] Terminal: Decodes the retransmitted content and plays it in the VR environment. The "user" puts on the VR headset and proceeds through the virtual travel experience, which is continuously adjusted according to emotions in real time.

[0234] Specific examples

[0235] For example, if a user selects "Tokyo of the Future," "2300," or "a building floating in the sky," the server collects related data and generates virtual travel content using generative AI. During the virtual travel, the emotion engine analyzes the user's emotions, such as smile, surprise, or fear, in real time and sends that information to the server. Based on the emotion data, the server adds a special effect, such as a building suddenly coming to life in the sky if the user expresses surprise, and generates and resends new content through generative AI. In this way, the virtual travel experience is adjusted in real time, providing a more personalized experience.

[0236] Example 2

[0237] 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."

[0238] In virtual travel experiences, there is a need for a system that can recognize a user's emotional state in real time and dynamically adjust the experience content based on that information. However, current virtual travel systems only generate static content based on user input and are unable to dynamically adjust the content to accommodate changes in the user's emotions. This can lead to users becoming bored midway through the experience and resulting in an unsatisfactory experience.

[0239] The specification process by the specification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for accepting selections of a destination, a time period, and real or fictional elements from a customer, means for collecting related data based on the selections, means for generating images or videos including the specified destination, time period, and fictional elements based on the collected data, means for transmitting the generated images or videos to the customer's terminal, means for collecting customer emotion data in real time using an emotion engine installed in the terminal, means for dynamically adjusting the content of the virtual journey based on the emotion data, and means for playing back the adjusted content. This enables a personalized virtual travel experience according to the user's emotions.

[0240] "Customer" means any person or entity that uses the System to engage in a virtual travel experience.

[0241] A "destination" is a particular location or area selected as a travel destination in a virtual journey.

[0242] An "era" is a particular historical or futuristic period set during the virtual journey.

[0243] "Real or fictional choice" is a setting that allows the user to choose whether to include actual historical facts or fictional elements in the virtual journey.

[0244] "Selection" refers to information about destination, time period, real or fictional choices that a user enters when setting up a virtual journey.

[0245] "Related data" refers to information such as geographical information and historical data collected based on the destination and time period selected by the user.

[0246] "Harvested Data" refers to geographic, historical, and fictional data obtained from relevant databases and external resources.

[0247] "Images or Videos" refers to the visual content provided to the user during the virtual journey and refers to high quality visual representations.

[0248] "Terminal" means the hardware device used by a User to access the System, including a VR headset or computer.

[0249] An "emotion engine" is a software or hardware component that analyzes a user's emotional state in real time.

[0250] "Emotion data" is data based on biometric information such as the user's facial expression, voice, and heart rate collected by the emotion engine.

[0251] "Dynamic adjustment" refers to changing the content of the virtual journey in real time based on the user's emotional data.

[0252] "Adjusted content" refers to scenes and events in the virtual journey that have been changed based on the user's emotional data.

[0253] This invention is a system that provides a virtual journey that includes a destination and time period specified by the user, and includes real or fictional elements, and by combining it with an emotion engine, it includes a function that recognizes the user's emotion data in real time and dynamically adjusts the virtual journey experience based on that emotion.

[0254] Accepting user requests

[0255] First, a user launches a virtual travel application using a VR device. After putting on a VR headset (e.g., Oculus Rift or HTC Vive), the user enters the destination (e.g., "Medieval Europe"), the desired time period (e.g., 1400), and the choice of real or fictional (e.g., "Add fictional elements") on the application's interface. Once the selection is confirmed, the user presses the submit button to complete the request.

[0256] Request analysis and data collection

[0257] The device converts the user's selections into JSON format and generates a request data packet. A JSON library (e.g., Jackson, GSON) is used for this conversion process. The generated JSON data packet is sent to the server. The server parses the received JSON data and identifies the destination, era, and whether it is real or fictional. Based on the identified information, the server collects related data such as geographic information, historical data, and fictional elements from a database (e.g., PostgreSQL, MySQL (registered trademark)) or an external API (e.g., geographic information service API, web encyclopedia API).

[0258] Submitting a content generation request

[0259] Based on the collected data, the server sends a content generation request to a generative AI model. Examples of generative AI models include GPT-4 (registered trademark) and DALL-E. The request uses the Python request library to send a prompt to the generative AI model. The following is an example of a prompt:

[0260] "Generate a medieval European landscape, 1400, including fictional elements."

[0261] "Generate high-quality images of buildings floating in the sky in the future Tokyo, year 2300."

[0262] Content optimization and delivery

[0263] The generative AI model generates high-quality images and videos based on the received prompt text. The generated content is temporarily stored in the server's data storage (e.g., cloud storage service). The server retrieves the generated content and optimizes it for the VR environment. This optimization is performed using Unity or Unreal Engine. The converted VR-format content is then sent to the user's device.

[0264] Emotion Engine Operation

[0265] The device is equipped with an emotion engine that recognizes the user's emotions in real time. The emotion engine uses biometric recognition software such as the Affectiva SDK. The device collects and analyzes biometric information such as the user's facial expressions, voice, and heart rate in real time. This emotion data is converted into JSON format and sent to the server.

[0266] Dynamically adjust content based on emotions

[0267] The server receives the user's emotional data and dynamically adjusts the content during the virtual journey based on the analysis results of the emotion engine. For example, if the user is surprised, it instructs the generative AI to add a new event to the content. If the user is bored, it adds effects such as changing the scenery to more vibrant colors.

[0268] Content playback and experience

[0269] The device then decodes the optimized content and applies it to the VR environment. The user then puts on the VR headset and enjoys a virtual travel experience that dynamically adjusts in real time. For example, while walking through a medieval European landscape, the scenery changes according to the user's emotions.

[0270] In this way, the present invention can provide a high-quality, personalized virtual travel experience that incorporates the user's emotions in real time.

[0271] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0272] Step 1: Accepting a user request

[0273] The user launches the virtual travel application using a VR device, inputs the destination (e.g., "Medieval Europe"), the time period (e.g., 1400), and the choice of reality or fiction (e.g., "Add fictional elements"), and then presses the submit button.

[0274] Input: User-entered destination, era, and real / fictional selection

[0275] Output: Request data in JSON format

[0276] Action: Collecting input data in a user interface and clicking a submit button

[0277] Step 2: Parsing the request and collecting data

[0278] The device converts the user's selections into JSON format and sends the resulting JSON data packet to the server. The server parses the received JSON data to identify the destination, time period, and whether it is real or fictional. Based on the identified information, the server collects relevant data, such as geographic information, historical data, and fictional elements, from a database or external API.

[0279] Input: Request data in JSON format

[0280] Output: A dataset containing the relevant data

[0281] What it does: Parses request data, performs database queries, and retrieves data from external APIs

[0282] Step 3: Submitting a content generation request

[0283] The server sends a content generation request to the generative AI model based on the collected data. It generates a prompt sentence and sends it to the generative AI model using the Python request library.

[0284] Input: A dataset containing relevant data

[0285] Output: Prompt sent to the generative AI

[0286] Action: Generate and send a prompt

[0287] Step 4: Optimize and submit your content

[0288] The generative AI model generates high-quality images and videos based on the prompt text, and stores the generated content in the server's data storage. The server retrieves the generated content and optimizes it for the VR environment using Unity or Unreal Engine. The optimized content is then sent to the user's device.

[0289] Input: prompt statement

[0290] Output: VR format optimized content

[0291] Operation: Content generation using generative AI models, saving to data storage, VR optimization, content transmission

[0292] Step 5: Emotion Engine in Action

[0293] The device collects biometric information such as facial expressions, voice, and heart rate from the user, and analyzes it in real time using an emotion engine (e.g., Affectiva SDK). The analysis results are converted into JSON format and sent to the server.

[0294] Input: User's biometric information

[0295] Output: Parsed emotion data

[0296] Operation: Collecting biometric information, analyzing emotional data, converting it to JSON format and sending it

[0297] Step 6: Dynamically adjust content based on sentiment

[0298] The server analyzes the received emotional data to identify the user's emotional state, and dynamically adjusts the content of the virtual journey based on the analysis results. For example, if the user is bored, it may trigger a new event or change the scenery to vibrant colors.

[0299] Input: Parsed emotion data

[0300] Output: Dynamically adjusted content

[0301] Behavior: Emotional data analysis, dynamic content adjustment

[0302] Step 7: Play and experience content

[0303] The device decodes the received optimized content and applies it to the VR environment, and the user puts on a VR headset to enjoy a virtual travel experience that is adjusted in real time.

[0304] Input: Optimized content

[0305] Output: Experience in a VR environment

[0306] Action: Decode and apply content, experience it through a VR headset

[0307] (Application example 2)

[0308] 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."

[0309] Conventional virtual travel systems generate content based on the user's specified destination and age, but the experience is static and does not dynamically adjust based on the user's emotions and reactions. As a result, it is difficult for users to obtain a personalized and immersive experience. Furthermore, even if a user expresses emotional changes during the travel experience, these changes are not reflected in the content, resulting in a uniform quality of experience.

[0310] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0311] In this invention, the server includes means for receiving a destination, a time period, and a real or fictional setting from a customer, means for collecting related data based on the selection, means for generating an image or video including the specified destination, time period, and fictional elements based on the collected data, means for transmitting the generated image or video to the customer's terminal, means for acquiring customer emotion data in real time, and means for dynamically adjusting the image or video based on the emotion data. This enables dynamic content adjustment in response to changes in the user's emotions, providing a more personalized and immersive virtual travel experience.

[0312] "Customer" means a user who wishes to use the system to have a virtual travel experience.

[0313] A "destination" is a location that a user specifies they would like to visit in their virtual travel experience.

[0314] An "era" is a particular era that a user specifies they would like to visit in their virtual travel experience.

[0315] "Real or fictional selection" refers to the act of a user choosing whether their virtual travel experience will include only real elements or fictional elements.

[0316] "Means" refers to the mechanisms or methods for realizing a specific function.

[0317] "Related data" refers to information such as geographical information and historical data relating to a specified destination or time period.

[0318] "Images or Videos" means the visual content provided in the virtual travel experience.

[0319] A "terminal" is a device used by a user to receive a virtual travel experience.

[0320] "Emotion data" is information relating to the user's emotional state, and includes facial expressions, voice, heart rate, and other biological information.

[0321] "Dynamic adjustment" refers to changing the content in real time based on the user's emotional data.

[0322] The present invention provides a virtual travel system that includes a destination and time period specified by the customer, as well as real or fictional elements, by combining an emotion engine to recognize the user's emotion data in real time and dynamically adjust the virtual travel experience based on that emotion.

[0323] System Overview

[0324] The system includes a customer device, a server that processes data, and a generative AI model that generates content. These elements work together to provide users with a personalized virtual travel experience.

[0325] Program processing

[0326] 1. Acceptance of user requests

[0327] The device launches a virtual travel application and provides an interface for the user to input destination, time period, and real or fictional selections. Once the user submits their selections, the device converts them into JSON format and sends them to the server.

[0328] 2. Request analysis and data collection

[0329] The server analyzes the request data sent from the device to identify the specified destination, time period, and real or fictional elements, and then collects relevant geographic information, historical data, and fictional elements from databases and external resources.

[0330] 3. Content Generation

[0331] The server sends a request to the generative AI model based on the collected data, including details about the destination, time period, and fictional elements specified by the user. The generative AI model generates high-quality images and videos that reflect these conditions and stores the results in data storage.

[0332] 4. Operation of the Emotion Engine

[0333] The device is equipped with an emotion engine that recognizes the user's emotions in real time. The emotion engine analyzes facial expressions, voice, heart rate, and other biometric information and transmits the emotional data to a server.

[0334] 5. Dynamically adjust content based on emotions

[0335] The server analyzes the received emotional data and dynamically adjusts existing VR content based on the results, for example, changing the scenery to vibrant colors if the user is excited, or triggering a sudden event if the user shows signs of surprise.

[0336] 6. Content playback and experience

[0337] The terminal receives the adjusted VR content sent from the server and displays it on the VR headset, allowing the user to enjoy this adjusted virtual travel experience in real time.

[0338] Hardware and Software Use

[0339] Hardware:

[0340] VR headset: A display for providing a virtual travel experience.

[0341] Emotion detection sensors: Camera, microphone, and heart rate monitor to capture user emotional data.

[0342] software:

[0343] Emotion Engine (EmotionEngineAPI): Analyzes user emotions in real time.

[0344] VR Content Generation Engine (VRContentGenerator): Generates content based on specified conditions.

[0345] Server API: A system for collecting and analyzing data (virtual travel server).

[0346] Specific examples

[0347] For example, if a user specifies "Medieval Europe, 1400, with fictional elements," the process proceeds as follows: The user request is sent to the server in JSON format, relevant data is collected, and the following prompt is sent to the generative AI model:

[0348] Create a virtual travel scene set in Medieval Europe in 1400, including fictional elements.

[0349] The generated content is sent to the user's device and dynamically adjusted based on the user's emotional data. For example, if the user expresses surprise, a surprise event will be added to the content, making the virtual travel experience more interesting.

[0350] This example allows the present invention to provide a personalized, high-quality virtual travel experience that incorporates the user's emotions.

[0351] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0352] Step 1:

[0353] The device launches a virtual travel application and accepts user-specified destination, time period, and real or fictional choice. This information is input, converted into JSON format, and sent to the server. The input is destination, time period, and real or fictional choice, and the output is the request data in JSON format.

[0354] Step 2:

[0355] The server receives and analyzes the request data sent from the device. This analysis identifies the specified destination, era, and real or fictional elements. The input is the request data in JSON format, and the output is the identified destination, era, and fictional element information.

[0356] Step 3:

[0357] The server collects relevant geographic information, historical data, and fictional elements from databases and external resources based on the specified information. The input is the specified information, and the output is a set of relevant data.

[0358] Step 4:

[0359] The server sends a request to the generative AI model based on the collected data. This request generates high-quality images or videos that reflect the specified conditions. The input is a set of relevant data and a prompt to the generative AI model, and the output is the generated image or video.

[0360] Step 5:

[0361] The generated images or videos are temporarily stored in data storage, converted into an appropriate format, and sent to the user's device. The input is the generated content, and the output is the content converted into VR format.

[0362] Step 6:

[0363] The emotion engine installed on the device collects biometric information such as the user's facial expressions, voice, and heart rate in real time to generate emotional data. This emotional data is then sent to a server. The input is the user's biometric information, and the output is emotional data.

[0364] Step 7:

[0365] The server analyzes the received emotional data and dynamically adjusts the VR content based on the analysis results. It modifies the content according to the user's emotions and sends the modified content back to the device. The input is emotional data, and the output is dynamically adjusted content.

[0366] Step 8:

[0367] The terminal receives the adjusted VR content sent from the server and displays it on the VR headset. The user enjoys this adjusted virtual travel experience in real time. The input is the dynamically adjusted content, and the output is the virtual travel experience experienced by the user.

[0368] 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.

[0369] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (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.

[0370] 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.

[0371] [Second embodiment]

[0372] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0373] 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.

[0374] 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).

[0375] 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.

[0376] 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.

[0377] 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).

[0378] 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.

[0379] 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.

[0380] 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.

[0381] 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.

[0382] 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.

[0383] 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."

[0384] This invention is a system that provides a virtual journey including a destination and time period specified by a customer, and real or fictional elements, and is specifically implemented with the following configuration and operation.

[0385] Accepting user requests

[0386] First, the user launches a virtual travel application using a VR device. On the application interface, the user can input the destination (e.g., "Medieval Europe"), the desired era (e.g., 1400), and the choice of real or fictional (e.g., "Add fictional elements"). Once the selection is confirmed, the user presses the submit button to complete the request.

[0387] Request analysis and data collection

[0388] The device converts the user's selections into a format such as JSON and sends it to the server. The server parses the data and determines the destination, time period, and whether it is real or fictional. Based on this information, the server then gathers relevant geographic information, historical data, and fictional elements from databases and external resources.

[0389] Content Generation

[0390] Based on the collected data, the server sends a request to the generative AI, which includes details about the user's destination, time period, and fictional elements. The generative AI then generates high-quality image or video content based on the request. Depending on the specified conditions, the AI ​​might recreate a medieval European townscape with the atmosphere of 1400, adding fictional elements (e.g., a castle in the sky).

[0391] Content conversion and delivery

[0392] The generated content is temporarily stored in a data storage device, after which the server converts this data into a format optimized for the VR environment (e.g., VR-compatible 360-degree video or 3D model), and the converted content is sent to the customer's device.

[0393] Playing and experiencing content

[0394] The device decodes the received content and adapts it for the VR environment, allowing the user to put on a VR headset and experience a virtual journey to a specified destination and time period, including real or fictional elements.

[0395] Specific examples

[0396] For example, if a user selects "future Tokyo," "the year 2300," and "floating buildings," the server collects data on futuristic Tokyo and sends instructions to the generative AI to add floating buildings as fictional elements. The generative AI then generates high-resolution images and videos based on this data, which the server then converts into VR format and sends to the user's device. In this way, the user can experience Tokyo in the future in 2300 in virtual reality.

[0397] In this way, the present invention realizes a system that can provide a high-quality virtual travel experience to users, including destinations and eras freely selected by the user, and including real or fictional elements.

[0398] The processing flow will be explained below.

[0399] Step 1:

[0400] User: Starts the VR device and opens the virtual travel application. From the application interface, selects the destination, time period, and real or fictional elements. Confirms the selection and presses the submit button to submit the request.

[0401] Step 2:

[0402] Terminal: Converts the user's selections into JSON or a similar format, generates a request data packet, and sends the converted data packet to the server.

[0403] Step 3:

[0404] Server: Receives the transmitted request data. Parses the received data to determine the destination, era, and real or fictional designation.

[0405] Step 4:

[0406] Server: Based on the analyzed data, collects related geographical information, historical data, and information about fictional elements from databases and external resources, such as geographical information APIs and historical databases.

[0407] Step 5:

[0408] Server: Based on the collected data, it sends instructions to the generative AI, including requests to generate high-quality images or videos of specified destinations, time periods, and fictional elements.

[0409] Step 6:

[0410] Generative AI: Generates image and video content using related data based on instructions received from the server. Creates high-resolution content that reflects specified conditions.

[0411] Step 7:

[0412] Generative AI: Store generated content in temporary data storage.

[0413] Step 8:

[0414] Server: Retrieves generated content from data storage and optimizes it for the VR environment, converting it into a format that can be played on the user's VR device, such as 360-degree videos or 3D models.

[0415] Step 9:

[0416] Server: Sends optimized content to the user's device.

[0417] Step 10:

[0418] Terminal: Decodes the received content and prepares it for playback in the VR application. Once playback preparation is complete, the user can experience a virtual journey.

[0419] Step 11:

[0420] User: Wears VR equipment and experiences the virtual travel content generated from the actual experience. Enjoys the designated destination, time period, and fictional elements.

[0421] Example 1

[0422] 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."

[0423] Conventional virtual travel systems have struggled to allow detailed customization of user-specified destinations and time periods, making it difficult to reflect specific elements realistically and in real time. In particular, providing a high-quality virtual reality experience that includes fictional elements requires the collection and processing of large amounts of data, and due to its complexity, it takes a significant amount of time to generate optimized images and videos.

[0424] 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.

[0425] In this invention, the server includes means for accepting selections of a destination, a time period, and whether the destination is real or fictional from a customer, means for converting the selections into JSON-formatted data and sending the JSON-formatted data to the server, means for the server to analyze the JSON-formatted data and identify the destination, the time period, and the fictional elements, means for collecting geographic information, historical data, and the fictional elements based on the identified data, means for sending a request to a generative AI based on the collected data and generating images or videos based on specified conditions, means for converting the generated images or videos into a format suitable for a virtual reality environment, and means for transmitting the converted images or videos to the customer's device. This makes it possible to quickly provide a high-quality virtual travel experience that includes the destination, time period, and real or fictional elements freely selected by the customer.

[0426] "Customer" means an end user of the virtual travel system.

[0427] A "destination" is a specific place or region that a user wishes to visit in a virtual journey.

[0428] An "era" is a particular historical period or era that a user chooses to experience in their virtual journey.

[0429] "Real Choice" is a setting where the user chooses to travel in a virtual world based on a real place and time.

[0430] "Fictional Choice" is a setting where the user chooses to take a virtual journey that includes fictional or imaginary elements.

[0431] "JSON format data" is a data format used to structure information entered by a user and send it to a server.

[0432] "Server" means a computer device that analyzes requests from users and collects and processes necessary data based on the requests.

[0433] "Geographic information" is data about the geographic characteristics of a particular location.

[0434] "Historical data" is information about historical facts and events relating to a particular period.

[0435] "Fictional elements" are imaginary elements that do not exist in reality but can be added to a virtual journey.

[0436] "Generative AI" is an artificial intelligence system that generates new content such as images and videos based on given input.

[0437] A "virtual reality environment" is a digital space that uses computer graphics to provide users with a virtual experience.

[0438] A "VR terminal" is a hardware device that provides a visual and sensory virtual reality experience.

[0439] "Content" refers to visual materials, such as generated images and videos, that allow users to experience a virtual journey.

[0440] The present invention is a system for providing a virtual journey involving customer-specified destinations, time periods, and real or fictional elements. The system includes three main components: a user, a terminal, and a server.

[0441] Accepting user requests

[0442] The user launches a dedicated virtual travel application using a VR device. On the application interface, the user inputs the desired destination (e.g., "Medieval Europe"), the time period (e.g., 1400), and the real or fictional element (e.g., "Add fictional element"). Once the input information is confirmed, the user presses the submit button to complete the request.

[0443] Request analysis and data collection

[0444] The device converts the user's input into JSON format data and sends it to the server. The server analyzes the received data and identifies the destination, era, and fictional elements. Based on this information, the server collects related geographic information and historical data using a geographic information API and a history database, and also obtains data related to the fictional elements from external resources.

[0445] Content Generation

[0446] The server then uses the collected data to send a request to a generative AI (e.g., a generative adversarial network (GAN)). This request includes details about the user's destination, time period, and fictional elements. The generative AI then uses this request to generate relevant, high-quality image and video content. For example, it could recreate a medieval European townscape in the 1400s, adding fictional elements like a floating castle.

[0447] Content conversion and delivery

[0448] The generated content is temporarily stored in the server's data storage, then the server converts this data into a format optimized for the VR environment (e.g., VR-compatible 360-degree video or 3D model), and the converted content is sent to the user's device using a secure data communication protocol (e.g., HTTPS).

[0449] Playing and experiencing content

[0450] The device decodes the received content and applies it to the VR environment, allowing the user to experience a virtual journey through specified destinations, time periods, and fictional elements using a VR headset. The user wears the headset and manipulates the visual experience through physical movements.

[0451] Specific examples

[0452] For example, if a user selects "future Tokyo," "the year 2300," and "floating buildings," the server collects data on futuristic Tokyo and sends instructions to the generative AI to add buildings floating in the sky as fictional elements. The generative AI generates high-resolution images and videos based on these instructions, and the server converts them into VR format and sends them to the user's device, allowing the user to experience future Tokyo in 2300 in virtual reality.

[0453] Example prompt sentence:

[0454] "Recreate a medieval European cityscape from 1400 and add a floating castle."

[0455] "Generate a future Tokyo in the year 2300, including floating buildings."

[0456] In this way, the system can provide a high-quality, immersive virtual travel experience, with customizable destinations and time periods, including real or fictional elements, that users can choose from.

[0457] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0458] Step 1: Accepting a user request

[0459] The user launches a virtual travel application using a VR device. The user inputs the destination (e.g., "Medieval Europe"), the era (e.g., 1400), and the fictional element (e.g., "Add fictional element") into the interface, confirms it, and sends the request.

[0460] Input: User-selected destination, era, fictional elements

[0461] Output: Request data including selections

[0462] Step 2: Parsing the request and collecting data

[0463] The device converts the user's input into JSON format and sends it to the server. The server parses the received JSON data to identify the destination, time period, and fictional elements. Based on this information, the server uses geographic information APIs and historical databases to collect related information.

[0464] Input: Request data in JSON format

[0465] Data processing / calculation: JSON data analysis, API query sending, database search

[0466] Output: Related geographical information, historical data, and fictional element data

[0467] Step 3: Content generation

[0468] The server sends a request to a generative AI based on the collected data, which generates high-quality images or videos according to the specified conditions (destination, time period, fictional elements) (e.g., recreating a medieval European townscape with the atmosphere of 1400 and adding a floating castle in the sky).

[0469] Input: Geographical information, historical data, fictional element data

[0470] Data processing / calculation: Image and video generation using generative AI

[0471] Output: High-quality images or videos generated

[0472] Step 4: Convert and send content

[0473] The generated content is temporarily stored in the server's data storage, then the server converts the generated content into a format optimized for the VR environment (VR-compatible 360-degree video or 3D model), and the converted content is sent to the device using a secure data communication protocol.

[0474] Input: Generated images or videos

[0475] Data processing / calculation: Data conversion to VR format

[0476] Output: VR-compatible content

[0477] Step 5: Play and experience the content

[0478] The device decodes the received VR-compatible content and allows the user to experience a virtual journey. The user puts on a VR headset and experiences a virtual reality that includes the specified destination, time period, and fictional elements.

[0479] Input: VR-compatible content

[0480] Data processing / calculation: Decoding, VR environment adaptation

[0481] Output: An immersive virtual travel experience

[0482] By going through the above processing steps, the user can enjoy a high-quality virtual travel experience based on the conditions selected.

[0483] (Application example 1)

[0484] 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."

[0485] Conventional travel experiences are subject to physical and time constraints, making it difficult to provide experiences that include specific time periods or fictional elements. Furthermore, despite advances in virtual reality technology, it has not been easy for users to freely choose a destination and time period and add real or fictional elements to their experiences. The purpose of this invention is to solve these problems and provide a system that allows users to enjoy a high-quality virtual travel experience based on their own free choices.

[0486] 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.

[0487] In this invention, the server includes means for receiving a destination, a time period, and a real or fictional setting selection from a customer, means for collecting related data based on the selection, means for generating an image or video including the specified destination, time period, and fictional elements based on the collected data, means for transmitting the generated image or video to a customer's terminal, and means for using a head-mounted display to allow the customer to experience the transmitted image or video in virtual reality format, thereby enabling the user to experience the destination and time period of their choice in virtual reality.

[0488] "Customer" means a user who uses the system to experience virtual travel content.

[0489] "Destination" means a geographic location that a customer specifies they would like to visit on their virtual trip.

[0490] An "era" is a specific historical period or era that a customer would like to experience in their virtual travels.

[0491] "Real or fictional choice" refers to the choice a customer makes to decide whether to include real elements in their virtual journey or add fictional elements.

[0492] "Related Data" means geographic information, historical data, and information containing fictional elements relating to a specified destination and time period.

[0493] "Images or Video" means visual content generated based on a specified destination, time period, and fictional elements.

[0494] "Device" means the device (e.g., smartphone, head-mounted display) used by Customer to receive and display Virtual Travel Content.

[0495] A "head-mounted display" is a device worn by a customer to visually experience content in a virtual reality format.

[0496] The present invention is a system for providing a virtual journey including a destination and a time period specified by a user, and including real or fictional elements. Specific embodiments are described below.

[0497] Accepting user requests

[0498] The user launches a virtual travel application using a VR device. On the application interface, the user can input the destination (e.g., "Medieval Europe"), the desired era (e.g., 1400), and the choice of real or fictional (e.g., "Add fictional elements"). Once the selection is confirmed, the user presses the submit button to complete the request.

[0499] Request analysis and data collection

[0500] The device converts the user's selections into a format such as JSON and sends it to the server. The server parses the data and determines the destination, time period, and whether it is real or fictional. Based on this information, the server then gathers relevant geographic information, historical data, and fictional elements from databases and external resources.

[0501] Content Generation

[0502] Based on the collected data, the server sends a request to a generative AI, which includes details about the user's destination, time period, and fictional elements. The generative AI (e.g., OpenAI GPT-3 or DALL-E) then generates high-quality image or video content based on the request. Depending on the specified conditions, the AI ​​might recreate a medieval European townscape in the 1400s, adding fictional elements (e.g., a floating castle).

[0503] Content conversion and delivery

[0504] The generated content is temporarily stored in a data storage device, after which the server converts this data into a format optimized for the VR environment (e.g., VR-compatible 360-degree video or 3D model), and the converted content is sent to the customer's device.

[0505] Playing and experiencing content

[0506] The device decodes the received content and adapts it for the VR environment, allowing the user to put on a VR headset and experience a virtual journey to a specified destination and time period, including real or fictional elements.

[0507] Specific examples

[0508] For example, if a user selects "future Tokyo," "the year 2300," and "floating buildings," the server collects data on futuristic Tokyo and sends instructions to the generative AI to add floating buildings as fictional elements. The generative AI then generates high-resolution images and videos based on this data, which the server then converts into VR format and sends to the user's device. In this way, the user can experience Tokyo in the future in 2300 in virtual reality.

[0509] Example of input prompt for generative AI model

[0510] Recreate "Medieval Europe in 1400" and add "floating castles in the sky."

[0511] In this way, the present invention realizes a system that can provide a high-quality virtual travel experience to users, including destinations and eras freely selected by the user, and including real or fictional elements.

[0512] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0513] Step 1: Accepting a user request

[0514] The user launches a virtual travel application using a VR device. On the application interface, the user inputs the destination (e.g., "Medieval Europe"), the time period (e.g., 1400), and the real or fictional choice (e.g., "Add fictional elements"). Once the selection is confirmed, the user presses the submit button to complete the request.

[0515] Input: Destination, era, real or fictional choice

[0516] Output: User request data

[0517] Step 2: Parsing the request and collecting data

[0518] The device converts the user's selections into JSON format and sends it to the server, which parses the data to identify the destination, time period, and whether it is real or fictional. Based on this, the server can gather geographic information, historical data, and fictional elements from databases and external resources.

[0519] Input: User request data

[0520] Output: Data based on destination, era, real or fictional designation

[0521] Step 3: Content generation

[0522] Based on the collected data, the server sends a request to the generative AI model, which includes details about the destination, time period, and fictional elements specified by the user, and the generative AI then generates high-quality image or video content.

[0523] Input: Data based on destination, era, real or fictional designation

[0524] Output: Generative AI image or video content

[0525] Step 4: Convert and send content

[0526] The generated content is temporarily stored in a data storage, after which the server converts this data into a format optimized for the VR environment (e.g., VR-compatible 360-degree video or 3D model), and the converted content is sent to the customer's device.

[0527] Input: Generated image or video content

[0528] Output: Content converted to VR format

[0529] Step 5: Play and experience the content

[0530] The device decodes the received content and adapts it for the VR environment. The user puts on the VR headset and experiences a virtual journey to a specified destination and time period, including real or fictional elements.

[0531] Input: Content converted to VR format

[0532] Output: Virtual travel content for user experience

[0533] In this way, users can enjoy a high-quality virtual travel experience, with destinations and time periods of their choice, and including real or fictional elements.

[0534] 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.

[0535] This invention is a system that provides a virtual trip to a destination and time period specified by a customer, including real or fictional elements, and includes a function that recognizes a user's emotional data in real time by combining an emotion engine and dynamically adjusts the virtual trip experience based on the emotion. It is implemented with the following configuration and operation.

[0536] Accepting user requests

[0537] First, the user launches a virtual travel application using a VR device. On the application interface, the user can input the destination (e.g., "Medieval Europe"), the desired era (e.g., 1400), and the choice of real or fictional (e.g., "Add fictional elements"). Once the selection is confirmed, the user presses the submit button to complete the request.

[0538] Request analysis and data collection

[0539] The device converts the user's selections into JSON or a similar format and generates a request data packet. The data packet is sent to the server, which parses it to identify the destination, time period, and real or fictional designation. Based on this information, the server then gathers relevant geographic information, historical data, and fictional elements from databases and external resources.

[0540] Content Creation and Delivery

[0541] Based on the collected data, the server sends a request to the generative AI. The instructions include details about the destination, time period, and fictional elements specified by the user. The generative AI then generates high-quality images or videos that reflect the specified conditions. The generated content is then temporarily stored in data storage.

[0542] Content optimization and delivery

[0543] The server retrieves the generated content from the data storage and optimizes it for the VR environment. The converted VR format content is then sent to the user's device.

[0544] Emotion Engine Operation

[0545] The device is equipped with an emotion engine to recognize the user's emotions in real time. The emotion engine collects and analyzes the user's facial expressions, voice, heart rate, and other biometric information. This emotion data is sent to a server.

[0546] Dynamically adjust content based on emotions

[0547] The server receives the user's emotional data and dynamically adjusts the content during the virtual journey based on the analysis results. For example, if the user is excited, the scenery can be changed to more vibrant colors, or if the user is bored while visiting a quiet place, an interesting event can be triggered.

[0548] Content playback and experience

[0549] The device decodes the received content and adapts it for the VR environment, allowing users to put on a VR headset and experience a virtual journey that includes a specified destination and time period, as well as real or fictional elements. The content and presentation of the experience will also change dynamically depending on the user's emotions.

[0550] Specific examples

[0551] For example, if a user selects "Tokyo of the future," "the year 2300," or "a building floating in the sky" and begins a virtual trip using the emotion engine, the server collects related data and generates content based on that data using generative AI. During the virtual trip, the emotion engine analyzes the user's emotions, such as smiles and surprise, in real time and sends that information to the server. If the user shows surprise, the server issues instructions to the generative AI, adding effects such as the floating building suddenly moving.

[0552] In this way, the present invention realizes a system that can provide a high-quality, more personalized virtual travel experience that dynamically incorporates the user's emotions.

[0553] The processing flow will be explained below.

[0554] Step 1:

[0555] User: Starts the VR device and opens the virtual travel application. From the application interface, selects a destination (e.g., "Medieval Europe"), a time period (e.g., 1400), and real or fictional elements (e.g., "Add fictional elements"). Confirms the selection and presses the submit button to submit the request.

[0556] Step 2:

[0557] Terminal: Converts the user's selections into JSON or a similar data format, generates a request data packet, and sends the data packet to the server.

[0558] Step 3:

[0559] Server: Receives the transmitted request data. Analyzes the received data to determine the user's desired destination, time period, and real or fictional elements.

[0560] Step 4:

[0561] Server: Based on the analyzed data, collects geographic information related to the destination, historical data related to the specified period, and information about fictional elements from databases and external resources, for example, using a geographic information API or a historical database.

[0562] Step 5:

[0563] Server: Based on the collected data, the server sends a content generation request to the generative AI. The request includes instructions to generate images and videos that match the conditions specified by the user.

[0564] Step 6:

[0565] Generative AI: Receives requests from the server. Generates high-quality images or videos based on the specified destination, time period, and fictional elements. The generated content is temporarily stored in data storage.

[0566] Step 7:

[0567] Server: Retrieves the generated content from data storage and converts it into a format optimized for the VR environment (e.g., VR-compatible 360-degree video or 3D model). Once the conversion is complete, the server prepares the content for transmission to the user's device.

[0568] Step 8:

[0569] Server: Sends optimized content data to the user's terminal.

[0570] Step 9:

[0571] Device: Decodes the received content and applies it to the VR application.

[0572] Step 10:

[0573] Device: The emotion engine collects and analyzes the user's facial expressions, voice, heart rate, and other biometric information in real time. Emotion data is periodically sent to the server.

[0574] Step 11:

[0575] Server: Receives and analyzes the emotion data sent from the emotion engine. Based on the analysis results, the content during the virtual journey is dynamically adjusted. For example, if the user is surprised, various effects are added.

[0576] Step 12:

[0577] Server: Instructs the generative AI to adjust the content according to the emotion and generates new content. The generated content is saved in data storage and retransmitted as necessary.

[0578] Step 13:

[0579] Terminal: Decodes the retransmitted content and plays it in the VR environment. The "user" puts on the VR headset and proceeds through the virtual travel experience, which is continuously adjusted according to emotions in real time.

[0580] Specific examples

[0581] For example, if a user selects "Tokyo of the Future," "2300," or "a building floating in the sky," the server collects related data and generates virtual travel content using generative AI. During the virtual travel, the emotion engine analyzes the user's emotions, such as smile, surprise, or fear, in real time and sends that information to the server. Based on the emotion data, the server adds a special effect, such as a building suddenly coming to life in the sky if the user expresses surprise, and generates and resends new content through generative AI. In this way, the virtual travel experience is adjusted in real time, providing a more personalized experience.

[0582] Example 2

[0583] 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."

[0584] In virtual travel experiences, there is a need for a system that can recognize a user's emotional state in real time and dynamically adjust the experience content based on that information. However, current virtual travel systems only generate static content based on user input and are unable to dynamically adjust the content to accommodate changes in the user's emotions. This can lead to users becoming bored midway through the experience and resulting in an unsatisfactory experience.

[0585] The specification process by the specification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for accepting selections of a destination, a time period, and real or fictional elements from a customer, means for collecting related data based on the selections, means for generating images or videos including the specified destination, time period, and fictional elements based on the collected data, means for transmitting the generated images or videos to the customer's terminal, means for collecting customer emotion data in real time using an emotion engine installed in the terminal, means for dynamically adjusting the content of the virtual journey based on the emotion data, and means for playing back the adjusted content. This enables a personalized virtual travel experience according to the user's emotions.

[0586] "Customer" means any person or entity that uses the System to engage in a virtual travel experience.

[0587] A "destination" is a particular location or area selected as a travel destination in a virtual journey.

[0588] An "era" is a particular historical or futuristic period set during the virtual journey.

[0589] "Real or fictional choice" is a setting that allows the user to choose whether to include actual historical facts or fictional elements in the virtual journey.

[0590] "Selection" refers to information about destination, time period, real or fictional choices that a user enters when setting up a virtual journey.

[0591] "Related data" refers to information such as geographical information and historical data collected based on the destination and time period selected by the user.

[0592] "Harvested Data" refers to geographic, historical, and fictional data obtained from relevant databases and external resources.

[0593] "Images or Videos" refers to the visual content provided to the user during the virtual journey and refers to high quality visual representations.

[0594] "Terminal" means the hardware device used by a User to access the System, including a VR headset or computer.

[0595] An "emotion engine" is a software or hardware component that analyzes a user's emotional state in real time.

[0596] "Emotion data" is data based on biometric information such as the user's facial expression, voice, and heart rate collected by the emotion engine.

[0597] "Dynamic adjustment" refers to changing the content of the virtual journey in real time based on the user's emotional data.

[0598] "Adjusted content" refers to scenes and events in the virtual journey that have been changed based on the user's emotional data.

[0599] This invention is a system that provides a virtual journey that includes a destination and time period specified by the user, and includes real or fictional elements, and by combining it with an emotion engine, it includes a function that recognizes the user's emotion data in real time and dynamically adjusts the virtual journey experience based on that emotion.

[0600] Accepting user requests

[0601] First, a user launches a virtual travel application using a VR device. After putting on a VR headset (e.g., Oculus Rift or HTC Vive), the user enters the destination (e.g., "Medieval Europe"), the desired time period (e.g., 1400), and the choice of real or fictional (e.g., "Add fictional elements") on the application's interface. Once the selection is confirmed, the user presses the submit button to complete the request.

[0602] Request analysis and data collection

[0603] The device converts the user's selections into JSON format and generates a request data packet. This conversion process uses a JSON library (e.g., Jackson, GSON). The generated JSON data packet is sent to the server. The server parses the received JSON data and identifies the destination, era, and whether it is real or fictional. Based on the identified information, the server collects related data such as geographic information, historical data, and fictional elements from a database (e.g., PostgreSQL, MySQL) or an external API (e.g., a geographic information service API or a web encyclopedia API).

[0604] Submitting a content generation request

[0605] Based on the collected data, the server sends a content generation request to a generative AI model. Examples of generative AI models include GPT-4 and DALL-E. The request uses Python's request library to send a prompt to the generative AI model. The following is an example of a prompt:

[0606] "Generate a medieval European landscape, 1400, including fictional elements."

[0607] "Generate high-quality images of buildings floating in the sky in the future Tokyo, year 2300."

[0608] Content optimization and delivery

[0609] The generative AI model generates high-quality images and videos based on the received prompt text. The generated content is temporarily stored in the server's data storage (e.g., cloud storage service). The server retrieves the generated content and optimizes it for the VR environment. This optimization is performed using Unity or Unreal Engine. The converted VR-format content is then sent to the user's device.

[0610] Emotion Engine Operation

[0611] The device is equipped with an emotion engine that recognizes the user's emotions in real time. The emotion engine uses biometric recognition software such as the Affectiva SDK. The device collects and analyzes biometric information such as the user's facial expressions, voice, and heart rate in real time. This emotion data is converted into JSON format and sent to the server.

[0612] Dynamically adjust content based on emotions

[0613] The server receives the user's emotional data and dynamically adjusts the content during the virtual journey based on the analysis results of the emotion engine. For example, if the user is surprised, it instructs the generative AI to add a new event to the content. If the user is bored, it adds effects such as changing the scenery to more vibrant colors.

[0614] Content playback and experience

[0615] The device then decodes the optimized content and applies it to the VR environment. The user then puts on the VR headset and enjoys a virtual travel experience that dynamically adjusts in real time. For example, while walking through a medieval European landscape, the scenery changes according to the user's emotions.

[0616] In this way, the present invention can provide a high-quality, personalized virtual travel experience that incorporates the user's emotions in real time.

[0617] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0618] Step 1: Accepting a user request

[0619] The user launches the virtual travel application using a VR device, inputs the destination (e.g., "Medieval Europe"), the time period (e.g., 1400), and the choice of reality or fiction (e.g., "Add fictional elements"), and then presses the submit button.

[0620] Input: User-entered destination, era, and real / fictional selection

[0621] Output: Request data in JSON format

[0622] Action: Collecting input data in a user interface and clicking a submit button

[0623] Step 2: Parsing the request and collecting data

[0624] The device converts the user's selections into JSON format and sends the resulting JSON data packet to the server. The server parses the received JSON data to identify the destination, time period, and whether it is real or fictional. Based on the identified information, the server collects relevant data, such as geographic information, historical data, and fictional elements, from a database or external API.

[0625] Input: Request data in JSON format

[0626] Output: A dataset containing the relevant data

[0627] What it does: Parses request data, performs database queries, and retrieves data from external APIs

[0628] Step 3: Submitting a content generation request

[0629] The server sends a content generation request to the generative AI model based on the collected data. It generates a prompt sentence and sends it to the generative AI model using the Python request library.

[0630] Input: A dataset containing relevant data

[0631] Output: Prompt sent to the generative AI

[0632] Action: Generate and send a prompt

[0633] Step 4: Optimize and submit your content

[0634] The generative AI model generates high-quality images and videos based on the prompt text, and stores the generated content in the server's data storage. The server retrieves the generated content and optimizes it for the VR environment using Unity or Unreal Engine. The optimized content is then sent to the user's device.

[0635] Input: prompt statement

[0636] Output: VR format optimized content

[0637] Operation: Content generation using generative AI models, saving to data storage, VR optimization, content transmission

[0638] Step 5: Emotion Engine in Action

[0639] The device collects biometric information such as facial expressions, voice, and heart rate from the user, and analyzes it in real time using an emotion engine (e.g., Affectiva SDK). The analysis results are converted into JSON format and sent to the server.

[0640] Input: User's biometric information

[0641] Output: Parsed emotion data

[0642] Operation: Collecting biometric information, analyzing emotional data, converting it to JSON format and sending it

[0643] Step 6: Dynamically adjust content based on sentiment

[0644] The server analyzes the received emotional data to identify the user's emotional state, and dynamically adjusts the content of the virtual journey based on the analysis results. For example, if the user is bored, it may trigger a new event or change the scenery to vibrant colors.

[0645] Input: Parsed emotion data

[0646] Output: Dynamically adjusted content

[0647] Behavior: Emotional data analysis, dynamic content adjustment

[0648] Step 7: Play and experience content

[0649] The device decodes the received optimized content and applies it to the VR environment, and the user puts on a VR headset to enjoy a virtual travel experience that is adjusted in real time.

[0650] Input: Optimized content

[0651] Output: Experience in a VR environment

[0652] Action: Decode and apply content, experience it through a VR headset

[0653] (Application example 2)

[0654] 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."

[0655] Conventional virtual travel systems generate content based on the user's specified destination and age, but the experience is static and does not dynamically adjust based on the user's emotions and reactions. As a result, it is difficult for users to obtain a personalized and immersive experience. Furthermore, even if a user expresses emotional changes during the travel experience, these changes are not reflected in the content, resulting in a uniform quality of experience.

[0656] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0657] In this invention, the server includes means for receiving a destination, a time period, and a real or fictional setting from a customer, means for collecting related data based on the selection, means for generating an image or video including the specified destination, time period, and fictional elements based on the collected data, means for transmitting the generated image or video to the customer's terminal, means for acquiring customer emotion data in real time, and means for dynamically adjusting the image or video based on the emotion data. This enables dynamic content adjustment in response to changes in the user's emotions, providing a more personalized and immersive virtual travel experience.

[0658] "Customer" means a user who wishes to use the system to have a virtual travel experience.

[0659] A "destination" is a location that a user specifies they would like to visit in their virtual travel experience.

[0660] An "era" is a particular era that a user specifies they would like to visit in their virtual travel experience.

[0661] "Real or fictional selection" refers to the act of a user choosing whether their virtual travel experience will include only real elements or fictional elements.

[0662] "Means" refers to the mechanisms or methods for realizing a specific function.

[0663] "Related data" refers to information such as geographical information and historical data relating to a specified destination or time period.

[0664] "Images or Videos" means the visual content provided in the virtual travel experience.

[0665] A "terminal" is a device used by a user to receive a virtual travel experience.

[0666] "Emotion data" is information relating to the user's emotional state, and includes facial expressions, voice, heart rate, and other biological information.

[0667] "Dynamic adjustment" refers to changing the content in real time based on the user's emotional data.

[0668] The present invention provides a virtual travel system that includes a destination and time period specified by the customer, as well as real or fictional elements, by combining an emotion engine to recognize the user's emotion data in real time and dynamically adjust the virtual travel experience based on that emotion.

[0669] System Overview

[0670] The system includes a customer device, a server that processes data, and a generative AI model that generates content. These elements work together to provide users with a personalized virtual travel experience.

[0671] Program processing

[0672] 1. Acceptance of user requests

[0673] The device launches a virtual travel application and provides an interface for the user to input destination, time period, and real or fictional selections. Once the user submits their selections, the device converts them into JSON format and sends them to the server.

[0674] 2. Request analysis and data collection

[0675] The server analyzes the request data sent from the device to identify the specified destination, time period, and real or fictional elements, and then collects relevant geographic information, historical data, and fictional elements from databases and external resources.

[0676] 3. Content Generation

[0677] The server sends a request to the generative AI model based on the collected data, including details about the destination, time period, and fictional elements specified by the user. The generative AI model generates high-quality images and videos that reflect these conditions and stores the results in data storage.

[0678] 4. Operation of the Emotion Engine

[0679] The device is equipped with an emotion engine that recognizes the user's emotions in real time. The emotion engine analyzes facial expressions, voice, heart rate, and other biometric information and transmits the emotional data to a server.

[0680] 5. Dynamically adjust content based on emotions

[0681] The server analyzes the received emotional data and dynamically adjusts existing VR content based on the results, for example, changing the scenery to vibrant colors if the user is excited, or triggering a sudden event if the user shows signs of surprise.

[0682] 6. Content playback and experience

[0683] The terminal receives the adjusted VR content sent from the server and displays it on the VR headset, allowing the user to enjoy this adjusted virtual travel experience in real time.

[0684] Hardware and Software Use

[0685] Hardware:

[0686] VR headset: A display for providing a virtual travel experience.

[0687] Emotion detection sensors: Camera, microphone, and heart rate monitor to capture user emotional data.

[0688] software:

[0689] Emotion Engine (EmotionEngineAPI): Analyzes user emotions in real time.

[0690] VR Content Generation Engine (VRContentGenerator): Generates content based on specified conditions.

[0691] Server API: A system for collecting and analyzing data (virtual travel server).

[0692] Specific examples

[0693] For example, if a user specifies "Medieval Europe, 1400, with fictional elements," the process proceeds as follows: The user request is sent to the server in JSON format, relevant data is collected, and the following prompt is sent to the generative AI model:

[0694] Create a virtual travel scene set in Medieval Europe in 1400, including fictional elements.

[0695] The generated content is sent to the user's device and dynamically adjusted based on the user's emotional data. For example, if the user expresses surprise, a surprise event will be added to the content, making the virtual travel experience more interesting.

[0696] This example allows the present invention to provide a personalized, high-quality virtual travel experience that incorporates the user's emotions.

[0697] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0698] Step 1:

[0699] The device launches a virtual travel application and accepts user-specified destination, time period, and real or fictional choice. This information is input, converted into JSON format, and sent to the server. The input is destination, time period, and real or fictional choice, and the output is the request data in JSON format.

[0700] Step 2:

[0701] The server receives and analyzes the request data sent from the device. This analysis identifies the specified destination, era, and real or fictional elements. The input is the request data in JSON format, and the output is the identified destination, era, and fictional element information.

[0702] Step 3:

[0703] The server collects relevant geographic information, historical data, and fictional elements from databases and external resources based on the specified information. The input is the specified information, and the output is a set of relevant data.

[0704] Step 4:

[0705] The server sends a request to the generative AI model based on the collected data. This request generates high-quality images or videos that reflect the specified conditions. The input is a set of relevant data and a prompt to the generative AI model, and the output is the generated image or video.

[0706] Step 5:

[0707] The generated images or videos are temporarily stored in data storage, converted into an appropriate format, and sent to the user's device. The input is the generated content, and the output is the content converted into VR format.

[0708] Step 6:

[0709] The emotion engine installed on the device collects biometric information such as the user's facial expressions, voice, and heart rate in real time to generate emotional data. This emotional data is then sent to a server. The input is the user's biometric information, and the output is emotional data.

[0710] Step 7:

[0711] The server analyzes the received emotional data and dynamically adjusts the VR content based on the analysis results. It modifies the content according to the user's emotions and sends the modified content back to the device. The input is emotional data, and the output is dynamically adjusted content.

[0712] Step 8:

[0713] The terminal receives the adjusted VR content sent from the server and displays it on the VR headset. The user enjoys this adjusted virtual travel experience in real time. The input is the dynamically adjusted content, and the output is the virtual travel experience experienced by the user.

[0714] 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.

[0715] 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.

[0716] 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.

[0717] [Third embodiment]

[0718] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0719] 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.

[0720] 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).

[0721] 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.

[0722] 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.

[0723] 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).

[0724] 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.

[0725] 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.

[0726] 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.

[0727] 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.

[0728] 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.

[0729] 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."

[0730] This invention is a system that provides a virtual journey including a destination and time period specified by a customer, and real or fictional elements, and is specifically implemented with the following configuration and operation.

[0731] Accepting user requests

[0732] First, the user launches a virtual travel application using a VR device. On the application interface, the user can input the destination (e.g., "Medieval Europe"), the desired era (e.g., 1400), and the choice of real or fictional (e.g., "Add fictional elements"). Once the selection is confirmed, the user presses the submit button to complete the request.

[0733] Request analysis and data collection

[0734] The device converts the user's selections into a format such as JSON and sends it to the server. The server parses the data and determines the destination, time period, and whether it is real or fictional. Based on this information, the server then gathers relevant geographic information, historical data, and fictional elements from databases and external resources.

[0735] Content Generation

[0736] Based on the collected data, the server sends a request to the generative AI, which includes details about the user's destination, time period, and fictional elements. The generative AI then generates high-quality image or video content based on the request. Depending on the specified conditions, the AI ​​might recreate a medieval European townscape with the atmosphere of 1400, adding fictional elements (e.g., a castle in the sky).

[0737] Content conversion and delivery

[0738] The generated content is temporarily stored in a data storage device, after which the server converts this data into a format optimized for the VR environment (e.g., VR-compatible 360-degree video or 3D model), and the converted content is sent to the customer's device.

[0739] Playing and experiencing content

[0740] The device decodes the received content and adapts it for the VR environment, allowing the user to put on a VR headset and experience a virtual journey to a specified destination and time period, including real or fictional elements.

[0741] Specific examples

[0742] For example, if a user selects "future Tokyo," "the year 2300," and "floating buildings," the server collects data on futuristic Tokyo and sends instructions to the generative AI to add floating buildings as fictional elements. The generative AI then generates high-resolution images and videos based on this data, which the server then converts into VR format and sends to the user's device. In this way, the user can experience Tokyo in the future in 2300 in virtual reality.

[0743] In this way, the present invention realizes a system that can provide a high-quality virtual travel experience to users, including destinations and eras freely selected by the user, and including real or fictional elements.

[0744] The processing flow will be explained below.

[0745] Step 1:

[0746] User: Starts the VR device and opens the virtual travel application. From the application interface, selects the destination, time period, and real or fictional elements. Confirms the selection and presses the submit button to submit the request.

[0747] Step 2:

[0748] Terminal: Converts the user's selections into JSON or a similar format, generates a request data packet, and sends the converted data packet to the server.

[0749] Step 3:

[0750] Server: Receives the transmitted request data. Parses the received data to determine the destination, era, and real or fictional designation.

[0751] Step 4:

[0752] Server: Based on the analyzed data, collects related geographical information, historical data, and information about fictional elements from databases and external resources, such as geographical information APIs and historical databases.

[0753] Step 5:

[0754] Server: Based on the collected data, it sends instructions to the generative AI, including requests to generate high-quality images or videos of specified destinations, time periods, and fictional elements.

[0755] Step 6:

[0756] Generative AI: Generates image and video content using related data based on instructions received from the server. Creates high-resolution content that reflects specified conditions.

[0757] Step 7:

[0758] Generative AI: Store generated content in temporary data storage.

[0759] Step 8:

[0760] Server: Retrieves generated content from data storage and optimizes it for the VR environment, converting it into a format that can be played on the user's VR device, such as 360-degree videos or 3D models.

[0761] Step 9:

[0762] Server: Sends optimized content to the user's device.

[0763] Step 10:

[0764] Terminal: Decodes the received content and prepares it for playback in the VR application. Once playback preparation is complete, the user can experience a virtual journey.

[0765] Step 11:

[0766] User: Wears VR equipment and experiences the virtual travel content generated from the actual experience. Enjoys the designated destination, time period, and fictional elements.

[0767] Example 1

[0768] 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."

[0769] Conventional virtual travel systems have struggled to allow detailed customization of user-specified destinations and time periods, making it difficult to reflect specific elements realistically and in real time. In particular, providing a high-quality virtual reality experience that includes fictional elements requires the collection and processing of large amounts of data, and due to its complexity, it takes a significant amount of time to generate optimized images and videos.

[0770] 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.

[0771] In this invention, the server includes means for accepting selections of a destination, a time period, and whether the destination is real or fictional from a customer, means for converting the selections into JSON-formatted data and sending the JSON-formatted data to the server, means for the server to analyze the JSON-formatted data and identify the destination, the time period, and the fictional elements, means for collecting geographic information, historical data, and the fictional elements based on the identified data, means for sending a request to a generative AI based on the collected data and generating images or videos based on specified conditions, means for converting the generated images or videos into a format suitable for a virtual reality environment, and means for transmitting the converted images or videos to the customer's device. This makes it possible to quickly provide a high-quality virtual travel experience that includes the destination, time period, and real or fictional elements freely selected by the customer.

[0772] "Customer" means an end user of the virtual travel system.

[0773] A "destination" is a specific place or region that a user wishes to visit in a virtual journey.

[0774] An "era" is a particular historical period or era that a user chooses to experience in their virtual journey.

[0775] "Real Choice" is a setting where the user chooses to travel in a virtual world based on a real place and time.

[0776] "Fictional Choice" is a setting where the user chooses to take a virtual journey that includes fictional or imaginary elements.

[0777] "JSON format data" is a data format used to structure information entered by a user and send it to a server.

[0778] "Server" means a computer device that analyzes requests from users and collects and processes necessary data based on the requests.

[0779] "Geographic information" is data about the geographic characteristics of a particular location.

[0780] "Historical data" is information about historical facts and events relating to a particular period.

[0781] "Fictional elements" are imaginary elements that do not exist in reality but can be added to a virtual journey.

[0782] "Generative AI" is an artificial intelligence system that generates new content such as images and videos based on given input.

[0783] A "virtual reality environment" is a digital space that uses computer graphics to provide users with a virtual experience.

[0784] A "VR terminal" is a hardware device that provides a visual and sensory virtual reality experience.

[0785] "Content" refers to visual materials, such as generated images and videos, that allow users to experience a virtual journey.

[0786] The present invention is a system for providing a virtual journey involving customer-specified destinations, time periods, and real or fictional elements. The system includes three main components: a user, a terminal, and a server.

[0787] Accepting user requests

[0788] The user launches a dedicated virtual travel application using a VR device. On the application interface, the user inputs the desired destination (e.g., "Medieval Europe"), the time period (e.g., 1400), and the real or fictional element (e.g., "Add fictional element"). Once the input information is confirmed, the user presses the submit button to complete the request.

[0789] Request analysis and data collection

[0790] The device converts the user's input into JSON format data and sends it to the server. The server analyzes the received data and identifies the destination, era, and fictional elements. Based on this information, the server collects related geographic information and historical data using a geographic information API and a history database, and also obtains data related to the fictional elements from external resources.

[0791] Content Generation

[0792] The server then uses the collected data to send a request to a generative AI (e.g., a generative adversarial network (GAN)). This request includes details about the user's destination, time period, and fictional elements. The generative AI then uses this request to generate relevant, high-quality image and video content. For example, it could recreate a medieval European townscape in the 1400s, adding fictional elements like a floating castle.

[0793] Content conversion and delivery

[0794] The generated content is temporarily stored in the server's data storage, then the server converts this data into a format optimized for the VR environment (e.g., VR-compatible 360-degree video or 3D model), and the converted content is sent to the user's device using a secure data communication protocol (e.g., HTTPS).

[0795] Playing and experiencing content

[0796] The device decodes the received content and applies it to the VR environment, allowing the user to experience a virtual journey through specified destinations, time periods, and fictional elements using a VR headset. The user wears the headset and manipulates the visual experience through physical movements.

[0797] Specific examples

[0798] For example, if a user selects "future Tokyo," "the year 2300," and "floating buildings," the server collects data on futuristic Tokyo and sends instructions to the generative AI to add buildings floating in the sky as fictional elements. The generative AI generates high-resolution images and videos based on these instructions, and the server converts them into VR format and sends them to the user's device, allowing the user to experience future Tokyo in 2300 in virtual reality.

[0799] Example prompt sentence:

[0800] "Recreate a medieval European cityscape from 1400 and add a floating castle."

[0801] "Generate a future Tokyo in the year 2300, including floating buildings."

[0802] In this way, the system can provide a high-quality, immersive virtual travel experience, with customizable destinations and time periods, including real or fictional elements, that users can choose from.

[0803] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0804] Step 1: Accepting a user request

[0805] The user launches a virtual travel application using a VR device. The user inputs the destination (e.g., "Medieval Europe"), the era (e.g., 1400), and the fictional element (e.g., "Add fictional element") into the interface, confirms it, and sends the request.

[0806] Input: User-selected destination, era, fictional elements

[0807] Output: Request data including selections

[0808] Step 2: Parsing the request and collecting data

[0809] The device converts the user's input into JSON format and sends it to the server. The server parses the received JSON data to identify the destination, time period, and fictional elements. Based on this information, the server uses geographic information APIs and historical databases to collect related information.

[0810] Input: Request data in JSON format

[0811] Data processing / calculation: JSON data analysis, API query sending, database search

[0812] Output: Related geographical information, historical data, and fictional element data

[0813] Step 3: Content generation

[0814] The server sends a request to a generative AI based on the collected data, which generates high-quality images or videos according to the specified conditions (destination, time period, fictional elements) (e.g., recreating a medieval European townscape with the atmosphere of 1400 and adding a floating castle in the sky).

[0815] Input: Geographical information, historical data, fictional element data

[0816] Data processing / calculation: Image and video generation using generative AI

[0817] Output: High-quality images or videos generated

[0818] Step 4: Convert and send content

[0819] The generated content is temporarily stored in the server's data storage, then the server converts the generated content into a format optimized for the VR environment (VR-compatible 360-degree video or 3D model), and the converted content is sent to the device using a secure data communication protocol.

[0820] Input: Generated images or videos

[0821] Data processing / calculation: Data conversion to VR format

[0822] Output: VR-compatible content

[0823] Step 5: Play and experience the content

[0824] The device decodes the received VR-compatible content and allows the user to experience a virtual journey. The user puts on a VR headset and experiences a virtual reality that includes the specified destination, time period, and fictional elements.

[0825] Input: VR-compatible content

[0826] Data processing / calculation: Decoding, VR environment adaptation

[0827] Output: An immersive virtual travel experience

[0828] By going through the above processing steps, the user can enjoy a high-quality virtual travel experience based on the conditions selected.

[0829] (Application example 1)

[0830] 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."

[0831] Conventional travel experiences are subject to physical and time constraints, making it difficult to provide experiences that include specific time periods or fictional elements. Furthermore, despite advances in virtual reality technology, it has not been easy for users to freely choose a destination and time period and add real or fictional elements to their experiences. The purpose of this invention is to solve these problems and provide a system that allows users to enjoy a high-quality virtual travel experience based on their own free choices.

[0832] 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.

[0833] In this invention, the server includes means for receiving a destination, a time period, and a real or fictional setting selection from a customer, means for collecting related data based on the selection, means for generating an image or video including the specified destination, time period, and fictional elements based on the collected data, means for transmitting the generated image or video to a customer's terminal, and means for using a head-mounted display to allow the customer to experience the transmitted image or video in virtual reality format, thereby enabling the user to experience the destination and time period of their choice in virtual reality.

[0834] "Customer" means a user who uses the system to experience virtual travel content.

[0835] "Destination" means a geographic location that a customer specifies they would like to visit on their virtual trip.

[0836] An "era" is a specific historical period or era that a customer would like to experience in their virtual travels.

[0837] "Real or fictional choice" refers to the choice a customer makes to decide whether to include real elements in their virtual journey or add fictional elements.

[0838] "Related Data" means geographic information, historical data, and information containing fictional elements relating to a specified destination and time period.

[0839] "Images or Video" means visual content generated based on a specified destination, time period, and fictional elements.

[0840] "Device" means the device (e.g., smartphone, head-mounted display) used by Customer to receive and display Virtual Travel Content.

[0841] A "head-mounted display" is a device worn by a customer to visually experience content in a virtual reality format.

[0842] The present invention is a system for providing a virtual journey including a destination and a time period specified by a user, and including real or fictional elements. Specific embodiments are described below.

[0843] Accepting user requests

[0844] The user launches a virtual travel application using a VR device. On the application interface, the user can input the destination (e.g., "Medieval Europe"), the desired era (e.g., 1400), and the choice of real or fictional (e.g., "Add fictional elements"). Once the selection is confirmed, the user presses the submit button to complete the request.

[0845] Request analysis and data collection

[0846] The device converts the user's selections into a format such as JSON and sends it to the server. The server parses the data and determines the destination, time period, and whether it is real or fictional. Based on this information, the server then gathers relevant geographic information, historical data, and fictional elements from databases and external resources.

[0847] Content Generation

[0848] Based on the collected data, the server sends a request to a generative AI, which includes details about the user's destination, time period, and fictional elements. The generative AI (e.g., OpenAI GPT-3 or DALL-E) then generates high-quality image or video content based on the request. Depending on the specified conditions, the AI ​​might recreate a medieval European townscape in the 1400s, adding fictional elements (e.g., a floating castle).

[0849] Content conversion and delivery

[0850] The generated content is temporarily stored in a data storage device, after which the server converts this data into a format optimized for the VR environment (e.g., VR-compatible 360-degree video or 3D model), and the converted content is sent to the customer's device.

[0851] Playing and experiencing content

[0852] The device decodes the received content and adapts it for the VR environment, allowing the user to put on a VR headset and experience a virtual journey to a specified destination and time period, including real or fictional elements.

[0853] Specific examples

[0854] For example, if a user selects "future Tokyo," "the year 2300," and "floating buildings," the server collects data on futuristic Tokyo and sends instructions to the generative AI to add floating buildings as fictional elements. The generative AI then generates high-resolution images and videos based on this data, which the server then converts into VR format and sends to the user's device. In this way, the user can experience Tokyo in the future in 2300 in virtual reality.

[0855] Example of input prompt for generative AI model

[0856] Recreate "Medieval Europe in 1400" and add "floating castles in the sky."

[0857] In this way, the present invention realizes a system that can provide a high-quality virtual travel experience to users, including destinations and eras freely selected by the user, and including real or fictional elements.

[0858] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0859] Step 1: Accepting a user request

[0860] The user launches a virtual travel application using a VR device. On the application interface, the user inputs the destination (e.g., "Medieval Europe"), the time period (e.g., 1400), and the real or fictional choice (e.g., "Add fictional elements"). Once the selection is confirmed, the user presses the submit button to complete the request.

[0861] Input: Destination, era, real or fictional choice

[0862] Output: User request data

[0863] Step 2: Parsing the request and collecting data

[0864] The device converts the user's selections into JSON format and sends it to the server, which parses the data to identify the destination, time period, and whether it is real or fictional. Based on this, the server can gather geographic information, historical data, and fictional elements from databases and external resources.

[0865] Input: User request data

[0866] Output: Data based on destination, era, real or fictional designation

[0867] Step 3: Content generation

[0868] Based on the collected data, the server sends a request to the generative AI model, which includes details about the destination, time period, and fictional elements specified by the user, and the generative AI then generates high-quality image or video content.

[0869] Input: Data based on destination, era, real or fictional designation

[0870] Output: Generative AI image or video content

[0871] Step 4: Convert and send content

[0872] The generated content is temporarily stored in a data storage, after which the server converts this data into a format optimized for the VR environment (e.g., VR-compatible 360-degree video or 3D model), and the converted content is sent to the customer's device.

[0873] Input: Generated image or video content

[0874] Output: Content converted to VR format

[0875] Step 5: Play and experience the content

[0876] The device decodes the received content and adapts it for the VR environment. The user puts on the VR headset and experiences a virtual journey to a specified destination and time period, including real or fictional elements.

[0877] Input: Content converted to VR format

[0878] Output: Virtual travel content for user experience

[0879] In this way, users can enjoy a high-quality virtual travel experience, with destinations and time periods of their choice, and including real or fictional elements.

[0880] 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.

[0881] This invention is a system that provides a virtual trip to a destination and time period specified by a customer, including real or fictional elements, and includes a function that recognizes a user's emotional data in real time by combining an emotion engine and dynamically adjusts the virtual trip experience based on the emotion. It is implemented with the following configuration and operation.

[0882] Accepting user requests

[0883] First, the user launches a virtual travel application using a VR device. On the application interface, the user can input the destination (e.g., "Medieval Europe"), the desired era (e.g., 1400), and the choice of real or fictional (e.g., "Add fictional elements"). Once the selection is confirmed, the user presses the submit button to complete the request.

[0884] Request analysis and data collection

[0885] The device converts the user's selections into JSON or a similar format and generates a request data packet. The data packet is sent to the server, which parses it to identify the destination, time period, and real or fictional designation. Based on this information, the server then gathers relevant geographic information, historical data, and fictional elements from databases and external resources.

[0886] Content Creation and Delivery

[0887] Based on the collected data, the server sends a request to the generative AI. The instructions include details about the destination, time period, and fictional elements specified by the user. The generative AI then generates high-quality images or videos that reflect the specified conditions. The generated content is then temporarily stored in data storage.

[0888] Content optimization and delivery

[0889] The server retrieves the generated content from the data storage and optimizes it for the VR environment. The converted VR format content is then sent to the user's device.

[0890] Emotion Engine Operation

[0891] The device is equipped with an emotion engine to recognize the user's emotions in real time. The emotion engine collects and analyzes the user's facial expressions, voice, heart rate, and other biometric information. This emotion data is sent to a server.

[0892] Dynamically adjust content based on emotions

[0893] The server receives the user's emotional data and dynamically adjusts the content during the virtual journey based on the analysis results. For example, if the user is excited, the scenery can be changed to more vibrant colors, or if the user is bored while visiting a quiet place, an interesting event can be triggered.

[0894] Content playback and experience

[0895] The device decodes the received content and adapts it for the VR environment, allowing users to put on a VR headset and experience a virtual journey that includes a specified destination and time period, as well as real or fictional elements. The content and presentation of the experience will also change dynamically depending on the user's emotions.

[0896] Specific examples

[0897] For example, if a user selects "Tokyo of the future," "the year 2300," or "a building floating in the sky" and begins a virtual trip using the emotion engine, the server collects related data and generates content based on that data using generative AI. During the virtual trip, the emotion engine analyzes the user's emotions, such as smiles and surprise, in real time and sends that information to the server. If the user shows surprise, the server issues instructions to the generative AI, adding effects such as the floating building suddenly moving.

[0898] In this way, the present invention realizes a system that can provide a high-quality, more personalized virtual travel experience that dynamically incorporates the user's emotions.

[0899] The processing flow will be explained below.

[0900] Step 1:

[0901] User: Starts the VR device and opens the virtual travel application. From the application interface, selects a destination (e.g., "Medieval Europe"), a time period (e.g., 1400), and real or fictional elements (e.g., "Add fictional elements"). Confirms the selection and presses the submit button to submit the request.

[0902] Step 2:

[0903] Terminal: Converts the user's selections into JSON or a similar data format, generates a request data packet, and sends the data packet to the server.

[0904] Step 3:

[0905] Server: Receives the transmitted request data. Analyzes the received data to determine the user's desired destination, time period, and real or fictional elements.

[0906] Step 4:

[0907] Server: Based on the analyzed data, collects geographic information related to the destination, historical data related to the specified period, and information about fictional elements from databases and external resources, for example, using a geographic information API or a historical database.

[0908] Step 5:

[0909] Server: Based on the collected data, the server sends a content generation request to the generative AI. The request includes instructions to generate images and videos that match the conditions specified by the user.

[0910] Step 6:

[0911] Generative AI: Receives requests from the server. Generates high-quality images or videos based on the specified destination, time period, and fictional elements. The generated content is temporarily stored in data storage.

[0912] Step 7:

[0913] Server: Retrieves the generated content from data storage and converts it into a format optimized for the VR environment (e.g., VR-compatible 360-degree video or 3D model). Once the conversion is complete, the server prepares the content for transmission to the user's device.

[0914] Step 8:

[0915] Server: Sends optimized content data to the user's terminal.

[0916] Step 9:

[0917] Device: Decodes the received content and applies it to the VR application.

[0918] Step 10:

[0919] Device: The emotion engine collects and analyzes the user's facial expressions, voice, heart rate, and other biometric information in real time. Emotion data is periodically sent to the server.

[0920] Step 11:

[0921] Server: Receives and analyzes the emotion data sent from the emotion engine. Based on the analysis results, the content during the virtual journey is dynamically adjusted. For example, if the user is surprised, various effects are added.

[0922] Step 12:

[0923] Server: Instructs the generative AI to adjust the content according to the emotion and generates new content. The generated content is saved in data storage and retransmitted as necessary.

[0924] Step 13:

[0925] Terminal: Decodes the retransmitted content and plays it in the VR environment. The "user" puts on the VR headset and proceeds through the virtual travel experience, which is continuously adjusted according to emotions in real time.

[0926] Specific examples

[0927] For example, if a user selects "Tokyo of the Future," "2300," or "a building floating in the sky," the server collects related data and generates virtual travel content using generative AI. During the virtual travel, the emotion engine analyzes the user's emotions, such as smile, surprise, or fear, in real time and sends that information to the server. Based on the emotion data, the server adds a special effect, such as a building suddenly coming to life in the sky if the user expresses surprise, and generates and resends new content through generative AI. In this way, the virtual travel experience is adjusted in real time, providing a more personalized experience.

[0928] Example 2

[0929] 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."

[0930] In virtual travel experiences, there is a need for a system that can recognize a user's emotional state in real time and dynamically adjust the experience content based on that information. However, current virtual travel systems only generate static content based on user input and are unable to dynamically adjust the content to accommodate changes in the user's emotions. This can lead to users becoming bored midway through the experience and resulting in an unsatisfactory experience.

[0931] The specification process by the specification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for accepting selections of a destination, a time period, and real or fictional elements from a customer, means for collecting related data based on the selections, means for generating images or videos including the specified destination, time period, and fictional elements based on the collected data, means for transmitting the generated images or videos to the customer's terminal, means for collecting customer emotion data in real time using an emotion engine installed in the terminal, means for dynamically adjusting the content of the virtual journey based on the emotion data, and means for playing back the adjusted content. This enables a personalized virtual travel experience according to the user's emotions.

[0932] "Customer" means any person or entity that uses the System to engage in a virtual travel experience.

[0933] A "destination" is a particular location or area selected as a travel destination in a virtual journey.

[0934] An "era" is a particular historical or futuristic period set during the virtual journey.

[0935] "Real or fictional choice" is a setting that allows the user to choose whether to include actual historical facts or fictional elements in the virtual journey.

[0936] "Selection" refers to information about destination, time period, real or fictional choices that a user enters when setting up a virtual journey.

[0937] "Related data" refers to information such as geographical information and historical data collected based on the destination and time period selected by the user.

[0938] "Harvested Data" refers to geographic, historical, and fictional data obtained from relevant databases and external resources.

[0939] "Images or Videos" refers to the visual content provided to the user during the virtual journey and refers to high quality visual representations.

[0940] "Terminal" means the hardware device used by a User to access the System, including a VR headset or computer.

[0941] An "emotion engine" is a software or hardware component that analyzes a user's emotional state in real time.

[0942] "Emotion data" is data based on biometric information such as the user's facial expression, voice, and heart rate collected by the emotion engine.

[0943] "Dynamic adjustment" refers to changing the content of the virtual journey in real time based on the user's emotional data.

[0944] "Adjusted content" refers to scenes and events in the virtual journey that have been changed based on the user's emotional data.

[0945] This invention is a system that provides a virtual journey that includes a destination and time period specified by the user, and includes real or fictional elements, and by combining it with an emotion engine, it includes a function that recognizes the user's emotion data in real time and dynamically adjusts the virtual journey experience based on that emotion.

[0946] Accepting user requests

[0947] First, a user launches a virtual travel application using a VR device. After putting on a VR headset (e.g., Oculus Rift or HTC Vive), the user enters the destination (e.g., "Medieval Europe"), the desired time period (e.g., 1400), and the choice of real or fictional (e.g., "Add fictional elements") on the application's interface. Once the selection is confirmed, the user presses the submit button to complete the request.

[0948] Request analysis and data collection

[0949] The device converts the user's selections into JSON format and generates a request data packet. This conversion process uses a JSON library (e.g., Jackson, GSON). The generated JSON data packet is sent to the server. The server parses the received JSON data and identifies the destination, era, and whether it is real or fictional. Based on the identified information, the server collects related data such as geographic information, historical data, and fictional elements from a database (e.g., PostgreSQL, MySQL) or an external API (e.g., a geographic information service API or a web encyclopedia API).

[0950] Submitting a content generation request

[0951] Based on the collected data, the server sends a content generation request to a generative AI model. Examples of generative AI models include GPT-4 and DALL-E. The request uses Python's request library to send a prompt to the generative AI model. The following is an example of a prompt:

[0952] "Generate a medieval European landscape, 1400, including fictional elements."

[0953] "Generate high-quality images of buildings floating in the sky in the future Tokyo, year 2300."

[0954] Content optimization and delivery

[0955] The generative AI model generates high-quality images and videos based on the received prompt text. The generated content is temporarily stored in the server's data storage (e.g., cloud storage service). The server retrieves the generated content and optimizes it for the VR environment. This optimization is performed using Unity or Unreal Engine. The converted VR-format content is then sent to the user's device.

[0956] Emotion Engine Operation

[0957] The device is equipped with an emotion engine that recognizes the user's emotions in real time. The emotion engine uses biometric recognition software such as the Affectiva SDK. The device collects and analyzes biometric information such as the user's facial expressions, voice, and heart rate in real time. This emotion data is converted into JSON format and sent to the server.

[0958] Dynamically adjust content based on emotions

[0959] The server receives the user's emotional data and dynamically adjusts the content during the virtual journey based on the analysis results of the emotion engine. For example, if the user is surprised, it instructs the generative AI to add a new event to the content. If the user is bored, it adds effects such as changing the scenery to more vibrant colors.

[0960] Content playback and experience

[0961] The device then decodes the optimized content and applies it to the VR environment. The user then puts on the VR headset and enjoys a virtual travel experience that dynamically adjusts in real time. For example, while walking through a medieval European landscape, the scenery changes according to the user's emotions.

[0962] In this way, the present invention can provide a high-quality, personalized virtual travel experience that incorporates the user's emotions in real time.

[0963] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0964] Step 1: Accepting a user request

[0965] The user launches the virtual travel application using a VR device, inputs the destination (e.g., "Medieval Europe"), the time period (e.g., 1400), and the choice of reality or fiction (e.g., "Add fictional elements"), and then presses the submit button.

[0966] Input: User-entered destination, era, and real / fictional selection

[0967] Output: Request data in JSON format

[0968] Action: Collecting input data in a user interface and clicking a submit button

[0969] Step 2: Parsing the request and collecting data

[0970] The device converts the user's selections into JSON format and sends the resulting JSON data packet to the server. The server parses the received JSON data to identify the destination, time period, and whether it is real or fictional. Based on the identified information, the server collects relevant data, such as geographic information, historical data, and fictional elements, from a database or external API.

[0971] Input: Request data in JSON format

[0972] Output: A dataset containing the relevant data

[0973] What it does: Parses request data, performs database queries, and retrieves data from external APIs

[0974] Step 3: Submitting a content generation request

[0975] The server sends a content generation request to the generative AI model based on the collected data. It generates a prompt sentence and sends it to the generative AI model using the Python request library.

[0976] Input: A dataset containing relevant data

[0977] Output: Prompt sent to the generative AI

[0978] Action: Generate and send a prompt

[0979] Step 4: Optimize and submit your content

[0980] The generative AI model generates high-quality images and videos based on the prompt text, and stores the generated content in the server's data storage. The server retrieves the generated content and optimizes it for the VR environment using Unity or Unreal Engine. The optimized content is then sent to the user's device.

[0981] Input: prompt statement

[0982] Output: VR format optimized content

[0983] Operation: Content generation using generative AI models, saving to data storage, VR optimization, content transmission

[0984] Step 5: Emotion Engine in Action

[0985] The device collects biometric information such as facial expressions, voice, and heart rate from the user, and analyzes it in real time using an emotion engine (e.g., Affectiva SDK). The analysis results are converted into JSON format and sent to the server.

[0986] Input: User's biometric information

[0987] Output: Parsed emotion data

[0988] Operation: Collecting biometric information, analyzing emotional data, converting it to JSON format and sending it

[0989] Step 6: Dynamically adjust content based on sentiment

[0990] The server analyzes the received emotional data to identify the user's emotional state, and dynamically adjusts the content of the virtual journey based on the analysis results. For example, if the user is bored, it may trigger a new event or change the scenery to vibrant colors.

[0991] Input: Parsed emotion data

[0992] Output: Dynamically adjusted content

[0993] Behavior: Emotional data analysis, dynamic content adjustment

[0994] Step 7: Play and experience content

[0995] The device decodes the received optimized content and applies it to the VR environment, and the user puts on a VR headset to enjoy a virtual travel experience that is adjusted in real time.

[0996] Input: Optimized content

[0997] Output: Experience in a VR environment

[0998] Action: Decode and apply content, experience it through a VR headset

[0999] (Application example 2)

[1000] 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."

[1001] Conventional virtual travel systems generate content based on the user's specified destination and age, but the experience is static and does not dynamically adjust based on the user's emotions and reactions. As a result, it is difficult for users to obtain a personalized and immersive experience. Furthermore, even if a user expresses emotional changes during the travel experience, these changes are not reflected in the content, resulting in a uniform quality of experience.

[1002] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1003] In this invention, the server includes means for receiving a destination, a time period, and a real or fictional setting from a customer, means for collecting related data based on the selection, means for generating an image or video including the specified destination, time period, and fictional elements based on the collected data, means for transmitting the generated image or video to the customer's terminal, means for acquiring customer emotion data in real time, and means for dynamically adjusting the image or video based on the emotion data. This enables dynamic content adjustment in response to changes in the user's emotions, providing a more personalized and immersive virtual travel experience.

[1004] "Customer" means a user who wishes to use the system to have a virtual travel experience.

[1005] A "destination" is a location that a user specifies they would like to visit in their virtual travel experience.

[1006] An "era" is a particular era that a user specifies they would like to visit in their virtual travel experience.

[1007] "Real or fictional selection" refers to the act of a user choosing whether their virtual travel experience will include only real elements or fictional elements.

[1008] "Means" refers to the mechanisms or methods for realizing a specific function.

[1009] "Related data" refers to information such as geographical information and historical data relating to a specified destination or time period.

[1010] "Images or Videos" means the visual content provided in the virtual travel experience.

[1011] A "terminal" is a device used by a user to receive a virtual travel experience.

[1012] "Emotion data" is information relating to the user's emotional state, and includes facial expressions, voice, heart rate, and other biological information.

[1013] "Dynamic adjustment" refers to changing the content in real time based on the user's emotional data.

[1014] The present invention provides a virtual travel system that includes a destination and time period specified by the customer, as well as real or fictional elements, by combining an emotion engine to recognize the user's emotion data in real time and dynamically adjust the virtual travel experience based on that emotion.

[1015] System Overview

[1016] The system includes a customer device, a server that processes data, and a generative AI model that generates content. These elements work together to provide users with a personalized virtual travel experience.

[1017] Program processing

[1018] 1. Acceptance of user requests

[1019] The device launches a virtual travel application and provides an interface for the user to input destination, time period, and real or fictional selections. Once the user submits their selections, the device converts them into JSON format and sends them to the server.

[1020] 2. Request analysis and data collection

[1021] The server analyzes the request data sent from the device to identify the specified destination, time period, and real or fictional elements, and then collects relevant geographic information, historical data, and fictional elements from databases and external resources.

[1022] 3. Content Generation

[1023] The server sends a request to the generative AI model based on the collected data, including details about the destination, time period, and fictional elements specified by the user. The generative AI model generates high-quality images and videos that reflect these conditions and stores the results in data storage.

[1024] 4. Operation of the Emotion Engine

[1025] The device is equipped with an emotion engine that recognizes the user's emotions in real time. The emotion engine analyzes facial expressions, voice, heart rate, and other biometric information and transmits the emotional data to a server.

[1026] 5. Dynamically adjust content based on emotions

[1027] The server analyzes the received emotional data and dynamically adjusts existing VR content based on the results, for example, changing the scenery to vibrant colors if the user is excited, or triggering a sudden event if the user shows signs of surprise.

[1028] 6. Content playback and experience

[1029] The terminal receives the adjusted VR content sent from the server and displays it on the VR headset, allowing the user to enjoy this adjusted virtual travel experience in real time.

[1030] Hardware and Software Use

[1031] Hardware:

[1032] VR headset: A display for providing a virtual travel experience.

[1033] Emotion detection sensors: Camera, microphone, and heart rate monitor to capture user emotional data.

[1034] software:

[1035] Emotion Engine (EmotionEngineAPI): Analyzes user emotions in real time.

[1036] VR Content Generation Engine (VRContentGenerator): Generates content based on specified conditions.

[1037] Server API: A system for collecting and analyzing data (virtual travel server).

[1038] Specific examples

[1039] For example, if a user specifies "Medieval Europe, 1400, with fictional elements," the process proceeds as follows: The user request is sent to the server in JSON format, relevant data is collected, and the following prompt is sent to the generative AI model:

[1040] Create a virtual travel scene set in Medieval Europe in 1400, including fictional elements.

[1041] The generated content is sent to the user's device and dynamically adjusted based on the user's emotional data. For example, if the user expresses surprise, a surprise event will be added to the content, making the virtual travel experience more interesting.

[1042] This example allows the present invention to provide a personalized, high-quality virtual travel experience that incorporates the user's emotions.

[1043] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1044] Step 1:

[1045] The device launches a virtual travel application and accepts user-specified destination, time period, and real or fictional choice. This information is input, converted into JSON format, and sent to the server. The input is destination, time period, and real or fictional choice, and the output is the request data in JSON format.

[1046] Step 2:

[1047] The server receives and analyzes the request data sent from the device. This analysis identifies the specified destination, era, and real or fictional elements. The input is the request data in JSON format, and the output is the identified destination, era, and fictional element information.

[1048] Step 3:

[1049] The server collects relevant geographic information, historical data, and fictional elements from databases and external resources based on the specified information. The input is the specified information, and the output is a set of relevant data.

[1050] Step 4:

[1051] The server sends a request to the generative AI model based on the collected data. This request generates high-quality images or videos that reflect the specified conditions. The input is a set of relevant data and a prompt to the generative AI model, and the output is the generated image or video.

[1052] Step 5:

[1053] The generated images or videos are temporarily stored in data storage, converted into an appropriate format, and sent to the user's device. The input is the generated content, and the output is the content converted into VR format.

[1054] Step 6:

[1055] The emotion engine installed on the device collects biometric information such as the user's facial expressions, voice, and heart rate in real time to generate emotional data. This emotional data is then sent to a server. The input is the user's biometric information, and the output is emotional data.

[1056] Step 7:

[1057] The server analyzes the received emotional data and dynamically adjusts the VR content based on the analysis results. It modifies the content according to the user's emotions and sends the modified content back to the device. The input is emotional data, and the output is dynamically adjusted content.

[1058] Step 8:

[1059] The terminal receives the adjusted VR content sent from the server and displays it on the VR headset. The user enjoys this adjusted virtual travel experience in real time. The input is the dynamically adjusted content, and the output is the virtual travel experience experienced by the user.

[1060] 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.

[1061] 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.

[1062] 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.

[1063] [Fourth embodiment]

[1064] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1065] 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.

[1066] 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).

[1067] 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.

[1068] 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.

[1069] 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).

[1070] 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.

[1071] 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.

[1072] 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.

[1073] 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.

[1074] 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.

[1075] 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.

[1076] 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."

[1077] This invention is a system that provides a virtual journey including a destination and time period specified by a customer, and real or fictional elements, and is specifically implemented with the following configuration and operation.

[1078] Accepting user requests

[1079] First, the user launches a virtual travel application using a VR device. On the application interface, the user can input the destination (e.g., "Medieval Europe"), the desired era (e.g., 1400), and the choice of real or fictional (e.g., "Add fictional elements"). Once the selection is confirmed, the user presses the submit button to complete the request.

[1080] Request analysis and data collection

[1081] The device converts the user's selections into a format such as JSON and sends it to the server. The server parses the data and determines the destination, time period, and whether it is real or fictional. Based on this information, the server then gathers relevant geographic information, historical data, and fictional elements from databases and external resources.

[1082] Content Generation

[1083] Based on the collected data, the server sends a request to the generative AI, which includes details about the user's destination, time period, and fictional elements. The generative AI then generates high-quality image or video content based on the request. Depending on the specified conditions, the AI ​​might recreate a medieval European townscape with the atmosphere of 1400, adding fictional elements (e.g., a castle in the sky).

[1084] Content conversion and delivery

[1085] The generated content is temporarily stored in a data storage device, after which the server converts this data into a format optimized for the VR environment (e.g., VR-compatible 360-degree video or 3D model), and the converted content is sent to the customer's device.

[1086] Playing and experiencing content

[1087] The device decodes the received content and adapts it for the VR environment, allowing the user to put on a VR headset and experience a virtual journey to a specified destination and time period, including real or fictional elements.

[1088] Specific examples

[1089] For example, if a user selects "future Tokyo," "the year 2300," and "floating buildings," the server collects data on futuristic Tokyo and sends instructions to the generative AI to add floating buildings as fictional elements. The generative AI then generates high-resolution images and videos based on this data, which the server then converts into VR format and sends to the user's device. In this way, the user can experience Tokyo in the future in 2300 in virtual reality.

[1090] In this way, the present invention realizes a system that can provide a high-quality virtual travel experience to users, including destinations and eras freely selected by the user, and including real or fictional elements.

[1091] The processing flow will be explained below.

[1092] Step 1:

[1093] User: Starts the VR device and opens the virtual travel application. From the application interface, selects the destination, time period, and real or fictional elements. Confirms the selection and presses the submit button to submit the request.

[1094] Step 2:

[1095] Terminal: Converts the user's selections into JSON or a similar format, generates a request data packet, and sends the converted data packet to the server.

[1096] Step 3:

[1097] Server: Receives the transmitted request data. Parses the received data to determine the destination, era, and real or fictional designation.

[1098] Step 4:

[1099] Server: Based on the analyzed data, collects related geographical information, historical data, and information about fictional elements from databases and external resources, such as geographical information APIs and historical databases.

[1100] Step 5:

[1101] Server: Based on the collected data, it sends instructions to the generative AI, including requests to generate high-quality images or videos of specified destinations, time periods, and fictional elements.

[1102] Step 6:

[1103] Generative AI: Generates image and video content using related data based on instructions received from the server. Creates high-resolution content that reflects specified conditions.

[1104] Step 7:

[1105] Generative AI: Store generated content in temporary data storage.

[1106] Step 8:

[1107] Server: Retrieves generated content from data storage and optimizes it for the VR environment, converting it into a format that can be played on the user's VR device, such as 360-degree videos or 3D models.

[1108] Step 9:

[1109] Server: Sends optimized content to the user's device.

[1110] Step 10:

[1111] Terminal: Decodes the received content and prepares it for playback in the VR application. Once playback preparation is complete, the user can experience a virtual journey.

[1112] Step 11:

[1113] User: Wears VR equipment and experiences the virtual travel content generated from the actual experience. Enjoys the designated destination, time period, and fictional elements.

[1114] Example 1

[1115] 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."

[1116] Conventional virtual travel systems have struggled to allow detailed customization of user-specified destinations and time periods, making it difficult to reflect specific elements realistically and in real time. In particular, providing a high-quality virtual reality experience that includes fictional elements requires the collection and processing of large amounts of data, and due to its complexity, it takes a significant amount of time to generate optimized images and videos.

[1117] 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.

[1118] In this invention, the server includes means for accepting selections of a destination, a time period, and whether the destination is real or fictional from a customer, means for converting the selections into JSON-formatted data and sending the JSON-formatted data to the server, means for the server to analyze the JSON-formatted data and identify the destination, the time period, and the fictional elements, means for collecting geographic information, historical data, and the fictional elements based on the identified data, means for sending a request to a generative AI based on the collected data and generating images or videos based on specified conditions, means for converting the generated images or videos into a format suitable for a virtual reality environment, and means for transmitting the converted images or videos to the customer's device. This makes it possible to quickly provide a high-quality virtual travel experience that includes the destination, time period, and real or fictional elements freely selected by the customer.

[1119] "Customer" means an end user of the virtual travel system.

[1120] A "destination" is a specific place or region that a user wishes to visit in a virtual journey.

[1121] An "era" is a particular historical period or era that a user chooses to experience in their virtual journey.

[1122] "Real Choice" is a setting where the user chooses to travel in a virtual world based on a real place and time.

[1123] "Fictional Choice" is a setting where the user chooses to take a virtual journey that includes fictional or imaginary elements.

[1124] "JSON format data" is a data format used to structure information entered by a user and send it to a server.

[1125] "Server" means a computer device that analyzes requests from users and collects and processes necessary data based on the requests.

[1126] "Geographic information" is data about the geographic characteristics of a particular location.

[1127] "Historical data" is information about historical facts and events relating to a particular period.

[1128] "Fictional elements" are imaginary elements that do not exist in reality but can be added to a virtual journey.

[1129] "Generative AI" is an artificial intelligence system that generates new content such as images and videos based on given input.

[1130] A "virtual reality environment" is a digital space that uses computer graphics to provide users with a virtual experience.

[1131] A "VR terminal" is a hardware device that provides a visual and sensory virtual reality experience.

[1132] "Content" refers to visual materials, such as generated images and videos, that allow users to experience a virtual journey.

[1133] The present invention is a system for providing a virtual journey involving customer-specified destinations, time periods, and real or fictional elements. The system includes three main components: a user, a terminal, and a server.

[1134] Accepting user requests

[1135] The user launches a dedicated virtual travel application using a VR device. On the application interface, the user inputs the desired destination (e.g., "Medieval Europe"), the time period (e.g., 1400), and the real or fictional element (e.g., "Add fictional element"). Once the input information is confirmed, the user presses the submit button to complete the request.

[1136] Request analysis and data collection

[1137] The device converts the user's input into JSON format data and sends it to the server. The server analyzes the received data and identifies the destination, era, and fictional elements. Based on this information, the server collects related geographic information and historical data using a geographic information API and a history database, and also obtains data related to the fictional elements from external resources.

[1138] Content Generation

[1139] The server then uses the collected data to send a request to a generative AI (e.g., a generative adversarial network (GAN)). This request includes details about the user's destination, time period, and fictional elements. The generative AI then uses this request to generate relevant, high-quality image and video content. For example, it could recreate a medieval European townscape in the 1400s, adding fictional elements like a floating castle.

[1140] Content conversion and delivery

[1141] The generated content is temporarily stored in the server's data storage, then the server converts this data into a format optimized for the VR environment (e.g., VR-compatible 360-degree video or 3D model), and the converted content is sent to the user's device using a secure data communication protocol (e.g., HTTPS).

[1142] Playing and experiencing content

[1143] The device decodes the received content and applies it to the VR environment, allowing the user to experience a virtual journey through specified destinations, time periods, and fictional elements using a VR headset. The user wears the headset and manipulates the visual experience through physical movements.

[1144] Specific examples

[1145] For example, if a user selects "future Tokyo," "the year 2300," and "floating buildings," the server collects data on futuristic Tokyo and sends instructions to the generative AI to add buildings floating in the sky as fictional elements. The generative AI generates high-resolution images and videos based on these instructions, and the server converts them into VR format and sends them to the user's device, allowing the user to experience future Tokyo in 2300 in virtual reality.

[1146] Example prompt sentence:

[1147] "Recreate a medieval European cityscape from 1400 and add a floating castle."

[1148] "Generate a future Tokyo in the year 2300, including floating buildings."

[1149] In this way, the system can provide a high-quality, immersive virtual travel experience, with customizable destinations and time periods, including real or fictional elements, that users can choose from.

[1150] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1151] Step 1: Accepting a user request

[1152] The user launches a virtual travel application using a VR device. The user inputs the destination (e.g., "Medieval Europe"), the era (e.g., 1400), and the fictional element (e.g., "Add fictional element") into the interface, confirms it, and sends the request.

[1153] Input: User-selected destination, era, fictional elements

[1154] Output: Request data including selections

[1155] Step 2: Parsing the request and collecting data

[1156] The device converts the user's input into JSON format and sends it to the server. The server parses the received JSON data to identify the destination, time period, and fictional elements. Based on this information, the server uses geographic information APIs and historical databases to collect related information.

[1157] Input: Request data in JSON format

[1158] Data processing / calculation: JSON data analysis, API query sending, database search

[1159] Output: Related geographical information, historical data, and fictional element data

[1160] Step 3: Content generation

[1161] The server sends a request to a generative AI based on the collected data, which generates high-quality images or videos according to the specified conditions (destination, time period, fictional elements) (e.g., recreating a medieval European townscape with the atmosphere of 1400 and adding a floating castle in the sky).

[1162] Input: Geographical information, historical data, fictional element data

[1163] Data processing / calculation: Image and video generation using generative AI

[1164] Output: High-quality images or videos generated

[1165] Step 4: Convert and send content

[1166] The generated content is temporarily stored in the server's data storage, then the server converts the generated content into a format optimized for the VR environment (VR-compatible 360-degree video or 3D model), and the converted content is sent to the device using a secure data communication protocol.

[1167] Input: Generated images or videos

[1168] Data processing / calculation: Data conversion to VR format

[1169] Output: VR-compatible content

[1170] Step 5: Play and experience the content

[1171] The device decodes the received VR-compatible content and allows the user to experience a virtual journey. The user puts on a VR headset and experiences a virtual reality that includes the specified destination, time period, and fictional elements.

[1172] Input: VR-compatible content

[1173] Data processing / calculation: Decoding, VR environment adaptation

[1174] Output: An immersive virtual travel experience

[1175] By going through the above processing steps, the user can enjoy a high-quality virtual travel experience based on the conditions selected.

[1176] (Application example 1)

[1177] 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."

[1178] Conventional travel experiences are subject to physical and time constraints, making it difficult to provide experiences that include specific time periods or fictional elements. Furthermore, despite advances in virtual reality technology, it has not been easy for users to freely choose a destination and time period and add real or fictional elements to their experiences. The purpose of this invention is to solve these problems and provide a system that allows users to enjoy a high-quality virtual travel experience based on their own free choices.

[1179] 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.

[1180] In this invention, the server includes means for receiving a destination, a time period, and a real or fictional setting selection from a customer, means for collecting related data based on the selection, means for generating an image or video including the specified destination, time period, and fictional elements based on the collected data, means for transmitting the generated image or video to a customer's terminal, and means for using a head-mounted display to allow the customer to experience the transmitted image or video in virtual reality format, thereby enabling the user to experience the destination and time period of their choice in virtual reality.

[1181] "Customer" means a user who uses the system to experience virtual travel content.

[1182] "Destination" means a geographic location that a customer specifies they would like to visit on their virtual trip.

[1183] An "era" is a specific historical period or era that a customer would like to experience in their virtual travels.

[1184] "Real or fictional choice" refers to the choice a customer makes to decide whether to include real elements in their virtual journey or add fictional elements.

[1185] "Related Data" means geographic information, historical data, and information containing fictional elements relating to a specified destination and time period.

[1186] "Images or Video" means visual content generated based on a specified destination, time period, and fictional elements.

[1187] "Device" means the device (e.g., smartphone, head-mounted display) used by Customer to receive and display Virtual Travel Content.

[1188] A "head-mounted display" is a device worn by a customer to visually experience content in a virtual reality format.

[1189] The present invention is a system for providing a virtual journey including a destination and a time period specified by a user, and including real or fictional elements. Specific embodiments are described below.

[1190] Accepting user requests

[1191] The user launches a virtual travel application using a VR device. On the application interface, the user can input the destination (e.g., "Medieval Europe"), the desired era (e.g., 1400), and the choice of real or fictional (e.g., "Add fictional elements"). Once the selection is confirmed, the user presses the submit button to complete the request.

[1192] Request analysis and data collection

[1193] The device converts the user's selections into a format such as JSON and sends it to the server. The server parses the data and determines the destination, time period, and whether it is real or fictional. Based on this information, the server then gathers relevant geographic information, historical data, and fictional elements from databases and external resources.

[1194] Content Generation

[1195] Based on the collected data, the server sends a request to a generative AI, which includes details about the user's destination, time period, and fictional elements. The generative AI (e.g., OpenAI GPT-3 or DALL-E) then generates high-quality image or video content based on the request. Depending on the specified conditions, the AI ​​might recreate a medieval European townscape in the 1400s, adding fictional elements (e.g., a floating castle).

[1196] Content conversion and delivery

[1197] The generated content is temporarily stored in a data storage device, after which the server converts this data into a format optimized for the VR environment (e.g., VR-compatible 360-degree video or 3D model), and the converted content is sent to the customer's device.

[1198] Playing and experiencing content

[1199] The device decodes the received content and adapts it for the VR environment, allowing the user to put on a VR headset and experience a virtual journey to a specified destination and time period, including real or fictional elements.

[1200] Specific examples

[1201] For example, if a user selects "future Tokyo," "the year 2300," and "floating buildings," the server collects data on futuristic Tokyo and sends instructions to the generative AI to add floating buildings as fictional elements. The generative AI then generates high-resolution images and videos based on this data, which the server then converts into VR format and sends to the user's device. In this way, the user can experience Tokyo in the future in 2300 in virtual reality.

[1202] Example of input prompt for generative AI model

[1203] Recreate "Medieval Europe in 1400" and add "floating castles in the sky."

[1204] In this way, the present invention realizes a system that can provide a high-quality virtual travel experience to users, including destinations and eras freely selected by the user, and including real or fictional elements.

[1205] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1206] Step 1: Accepting a user request

[1207] The user launches a virtual travel application using a VR device. On the application interface, the user inputs the destination (e.g., "Medieval Europe"), the time period (e.g., 1400), and the real or fictional choice (e.g., "Add fictional elements"). Once the selection is confirmed, the user presses the submit button to complete the request.

[1208] Input: Destination, era, real or fictional choice

[1209] Output: User request data

[1210] Step 2: Parsing the request and collecting data

[1211] The device converts the user's selections into JSON format and sends it to the server, which parses the data to identify the destination, time period, and whether it is real or fictional. Based on this, the server can gather geographic information, historical data, and fictional elements from databases and external resources.

[1212] Input: User request data

[1213] Output: Data based on destination, era, real or fictional designation

[1214] Step 3: Content generation

[1215] Based on the collected data, the server sends a request to the generative AI model, which includes details about the destination, time period, and fictional elements specified by the user, and the generative AI then generates high-quality image or video content.

[1216] Input: Data based on destination, era, real or fictional designation

[1217] Output: Generative AI image or video content

[1218] Step 4: Convert and send content

[1219] The generated content is temporarily stored in a data storage, after which the server converts this data into a format optimized for the VR environment (e.g., VR-compatible 360-degree video or 3D model), and the converted content is sent to the customer's device.

[1220] Input: Generated image or video content

[1221] Output: Content converted to VR format

[1222] Step 5: Play and experience the content

[1223] The device decodes the received content and adapts it for the VR environment. The user puts on the VR headset and experiences a virtual journey to a specified destination and time period, including real or fictional elements.

[1224] Input: Content converted to VR format

[1225] Output: Virtual travel content for user experience

[1226] In this way, users can enjoy a high-quality virtual travel experience, with destinations and time periods of their choice, and including real or fictional elements.

[1227] 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.

[1228] This invention is a system that provides a virtual trip to a destination and time period specified by a customer, including real or fictional elements, and includes a function that recognizes a user's emotional data in real time by combining an emotion engine and dynamically adjusts the virtual trip experience based on the emotion. It is implemented with the following configuration and operation.

[1229] Accepting user requests

[1230] First, the user launches a virtual travel application using a VR device. On the application interface, the user can input the destination (e.g., "Medieval Europe"), the desired era (e.g., 1400), and the choice of real or fictional (e.g., "Add fictional elements"). Once the selection is confirmed, the user presses the submit button to complete the request.

[1231] Request analysis and data collection

[1232] The device converts the user's selections into JSON or a similar format and generates a request data packet. The data packet is sent to the server, which parses it to identify the destination, time period, and real or fictional designation. Based on this information, the server then gathers relevant geographic information, historical data, and fictional elements from databases and external resources.

[1233] Content Creation and Delivery

[1234] Based on the collected data, the server sends a request to the generative AI. The instructions include details about the destination, time period, and fictional elements specified by the user. The generative AI then generates high-quality images or videos that reflect the specified conditions. The generated content is then temporarily stored in data storage.

[1235] Content optimization and delivery

[1236] The server retrieves the generated content from the data storage and optimizes it for the VR environment. The converted VR format content is then sent to the user's device.

[1237] Emotion Engine Operation

[1238] The device is equipped with an emotion engine to recognize the user's emotions in real time. The emotion engine collects and analyzes the user's facial expressions, voice, heart rate, and other biometric information. This emotion data is sent to a server.

[1239] Dynamically adjust content based on emotions

[1240] The server receives the user's emotional data and dynamically adjusts the content during the virtual journey based on the analysis results. For example, if the user is excited, the scenery can be changed to more vibrant colors, or if the user is bored while visiting a quiet place, an interesting event can be triggered.

[1241] Content playback and experience

[1242] The device decodes the received content and adapts it for the VR environment, allowing users to put on a VR headset and experience a virtual journey that includes a specified destination and time period, as well as real or fictional elements. The content and presentation of the experience will also change dynamically depending on the user's emotions.

[1243] Specific examples

[1244] For example, if a user selects "Tokyo of the future," "the year 2300," or "a building floating in the sky" and begins a virtual trip using the emotion engine, the server collects related data and generates content based on that data using generative AI. During the virtual trip, the emotion engine analyzes the user's emotions, such as smiles and surprise, in real time and sends that information to the server. If the user shows surprise, the server issues instructions to the generative AI, adding effects such as the floating building suddenly moving.

[1245] In this way, the present invention realizes a system that can provide a high-quality, more personalized virtual travel experience that dynamically incorporates the user's emotions.

[1246] The processing flow will be explained below.

[1247] Step 1:

[1248] User: Starts the VR device and opens the virtual travel application. From the application interface, selects a destination (e.g., "Medieval Europe"), a time period (e.g., 1400), and real or fictional elements (e.g., "Add fictional elements"). Confirms the selection and presses the submit button to submit the request.

[1249] Step 2:

[1250] Terminal: Converts the user's selections into JSON or a similar data format, generates a request data packet, and sends the data packet to the server.

[1251] Step 3:

[1252] Server: Receives the transmitted request data. Analyzes the received data to determine the user's desired destination, time period, and real or fictional elements.

[1253] Step 4:

[1254] Server: Based on the analyzed data, collects geographic information related to the destination, historical data related to the specified period, and information about fictional elements from databases and external resources, for example, using a geographic information API or a historical database.

[1255] Step 5:

[1256] Server: Based on the collected data, the server sends a content generation request to the generative AI. The request includes instructions to generate images and videos that match the conditions specified by the user.

[1257] Step 6:

[1258] Generative AI: Receives requests from the server. Generates high-quality images or videos based on the specified destination, time period, and fictional elements. The generated content is temporarily stored in data storage.

[1259] Step 7:

[1260] Server: Retrieves the generated content from data storage and converts it into a format optimized for the VR environment (e.g., VR-compatible 360-degree video or 3D model). Once the conversion is complete, the server prepares the content for transmission to the user's device.

[1261] Step 8:

[1262] Server: Sends optimized content data to the user's terminal.

[1263] Step 9:

[1264] Device: Decodes the received content and applies it to the VR application.

[1265] Step 10:

[1266] Device: The emotion engine collects and analyzes the user's facial expressions, voice, heart rate, and other biometric information in real time. Emotion data is periodically sent to the server.

[1267] Step 11:

[1268] Server: Receives and analyzes the emotion data sent from the emotion engine. Based on the analysis results, the content during the virtual journey is dynamically adjusted. For example, if the user is surprised, various effects are added.

[1269] Step 12:

[1270] Server: Instructs the generative AI to adjust the content according to the emotion and generates new content. The generated content is saved in data storage and retransmitted as necessary.

[1271] Step 13:

[1272] Terminal: Decodes the retransmitted content and plays it in the VR environment. The "user" puts on the VR headset and proceeds through the virtual travel experience, which is continuously adjusted according to emotions in real time.

[1273] Specific examples

[1274] For example, if a user selects "Tokyo of the Future," "2300," or "a building floating in the sky," the server collects related data and generates virtual travel content using generative AI. During the virtual travel, the emotion engine analyzes the user's emotions, such as smile, surprise, or fear, in real time and sends that information to the server. Based on the emotion data, the server adds a special effect, such as a building suddenly coming to life in the sky if the user expresses surprise, and generates and resends new content through generative AI. In this way, the virtual travel experience is adjusted in real time, providing a more personalized experience.

[1275] Example 2

[1276] 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."

[1277] In virtual travel experiences, there is a need for a system that can recognize a user's emotional state in real time and dynamically adjust the experience content based on that information. However, current virtual travel systems only generate static content based on user input and are unable to dynamically adjust the content to accommodate changes in the user's emotions. This can lead to users becoming bored midway through the experience and resulting in an unsatisfactory experience.

[1278] The specification process by the specification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. In this invention, the server includes means for accepting selections of a destination, a time period, and real or fictional elements from a customer, means for collecting related data based on the selections, means for generating images or videos including the specified destination, time period, and fictional elements based on the collected data, means for transmitting the generated images or videos to the customer's terminal, means for collecting customer emotion data in real time using an emotion engine installed in the terminal, means for dynamically adjusting the content of the virtual journey based on the emotion data, and means for playing back the adjusted content. This enables a personalized virtual travel experience according to the user's emotions.

[1279] "Customer" means any person or entity that uses the System to engage in a virtual travel experience.

[1280] A "destination" is a particular location or area selected as a travel destination in a virtual journey.

[1281] An "era" is a particular historical or futuristic period set during the virtual journey.

[1282] "Real or fictional choice" is a setting that allows the user to choose whether to include actual historical facts or fictional elements in the virtual journey.

[1283] "Selection" refers to information about destination, time period, real or fictional choices that a user enters when setting up a virtual journey.

[1284] "Related data" refers to information such as geographical information and historical data collected based on the destination and time period selected by the user.

[1285] "Harvested Data" refers to geographic, historical, and fictional data obtained from relevant databases and external resources.

[1286] "Images or Videos" refers to the visual content provided to the user during the virtual journey and refers to high quality visual representations.

[1287] "Terminal" means the hardware device used by a User to access the System, including a VR headset or computer.

[1288] An "emotion engine" is a software or hardware component that analyzes a user's emotional state in real time.

[1289] "Emotion data" is data based on biometric information such as the user's facial expression, voice, and heart rate collected by the emotion engine.

[1290] "Dynamic adjustment" refers to changing the content of the virtual journey in real time based on the user's emotional data.

[1291] "Adjusted content" refers to scenes and events in the virtual journey that have been changed based on the user's emotional data.

[1292] This invention is a system that provides a virtual journey that includes a destination and time period specified by the user, and includes real or fictional elements, and by combining it with an emotion engine, it includes a function that recognizes the user's emotion data in real time and dynamically adjusts the virtual journey experience based on that emotion.

[1293] Accepting user requests

[1294] First, a user launches a virtual travel application using a VR device. After putting on a VR headset (e.g., Oculus Rift or HTC Vive), the user enters the destination (e.g., "Medieval Europe"), the desired time period (e.g., 1400), and the choice of real or fictional (e.g., "Add fictional elements") on the application's interface. Once the selection is confirmed, the user presses the submit button to complete the request.

[1295] Request analysis and data collection

[1296] The device converts the user's selections into JSON format and generates a request data packet. This conversion process uses a JSON library (e.g., Jackson, GSON). The generated JSON data packet is sent to the server. The server parses the received JSON data and identifies the destination, era, and whether it is real or fictional. Based on the identified information, the server collects related data such as geographic information, historical data, and fictional elements from a database (e.g., PostgreSQL, MySQL) or an external API (e.g., a geographic information service API or a web encyclopedia API).

[1297] Submitting a content generation request

[1298] Based on the collected data, the server sends a content generation request to a generative AI model. Examples of generative AI models include GPT-4 and DALL-E. The request uses Python's request library to send a prompt to the generative AI model. The following is an example of a prompt:

[1299] "Generate a medieval European landscape, 1400, including fictional elements."

[1300] "Generate high-quality images of buildings floating in the sky in the future Tokyo, year 2300."

[1301] Content optimization and delivery

[1302] The generative AI model generates high-quality images and videos based on the received prompt text. The generated content is temporarily stored in the server's data storage (e.g., cloud storage service). The server retrieves the generated content and optimizes it for the VR environment. This optimization is performed using Unity or Unreal Engine. The converted VR-format content is then sent to the user's device.

[1303] Emotion Engine Operation

[1304] The device is equipped with an emotion engine that recognizes the user's emotions in real time. The emotion engine uses biometric recognition software such as the Affectiva SDK. The device collects and analyzes biometric information such as the user's facial expressions, voice, and heart rate in real time. This emotion data is converted into JSON format and sent to the server.

[1305] Dynamically adjust content based on emotions

[1306] The server receives the user's emotional data and dynamically adjusts the content during the virtual journey based on the analysis results of the emotion engine. For example, if the user is surprised, it instructs the generative AI to add a new event to the content. If the user is bored, it adds effects such as changing the scenery to more vibrant colors.

[1307] Content playback and experience

[1308] The device then decodes the optimized content and applies it to the VR environment. The user then puts on the VR headset and enjoys a virtual travel experience that dynamically adjusts in real time. For example, while walking through a medieval European landscape, the scenery changes according to the user's emotions.

[1309] In this way, the present invention can provide a high-quality, personalized virtual travel experience that incorporates the user's emotions in real time.

[1310] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1311] Step 1: Accepting a user request

[1312] The user launches the virtual travel application using a VR device, inputs the destination (e.g., "Medieval Europe"), the time period (e.g., 1400), and the choice of reality or fiction (e.g., "Add fictional elements"), and then presses the submit button.

[1313] Input: User-entered destination, era, and real / fictional selection

[1314] Output: Request data in JSON format

[1315] Action: Collecting input data in a user interface and clicking a submit button

[1316] Step 2: Parsing the request and collecting data

[1317] The device converts the user's selections into JSON format and sends the resulting JSON data packet to the server. The server parses the received JSON data to identify the destination, time period, and whether it is real or fictional. Based on the identified information, the server collects relevant data, such as geographic information, historical data, and fictional elements, from a database or external API.

[1318] Input: Request data in JSON format

[1319] Output: A dataset containing the relevant data

[1320] What it does: Parses request data, performs database queries, and retrieves data from external APIs

[1321] Step 3: Submitting a content generation request

[1322] The server sends a content generation request to the generative AI model based on the collected data. It generates a prompt sentence and sends it to the generative AI model using the Python request library.

[1323] Input: A dataset containing relevant data

[1324] Output: Prompt sent to the generative AI

[1325] Action: Generate and send a prompt

[1326] Step 4: Optimize and submit your content

[1327] The generative AI model generates high-quality images and videos based on the prompt text, and stores the generated content in the server's data storage. The server retrieves the generated content and optimizes it for the VR environment using Unity or Unreal Engine. The optimized content is then sent to the user's device.

[1328] Input: prompt statement

[1329] Output: VR format optimized content

[1330] Operation: Content generation using generative AI models, saving to data storage, VR optimization, content transmission

[1331] Step 5: Emotion Engine in Action

[1332] The device collects biometric information such as facial expressions, voice, and heart rate from the user, and analyzes it in real time using an emotion engine (e.g., Affectiva SDK). The analysis results are converted into JSON format and sent to the server.

[1333] Input: User's biometric information

[1334] Output: Parsed emotion data

[1335] Operation: Collecting biometric information, analyzing emotional data, converting it to JSON format and sending it

[1336] Step 6: Dynamically adjust content based on sentiment

[1337] The server analyzes the received emotional data to identify the user's emotional state, and dynamically adjusts the content of the virtual journey based on the analysis results. For example, if the user is bored, it may trigger a new event or change the scenery to vibrant colors.

[1338] Input: Parsed emotion data

[1339] Output: Dynamically adjusted content

[1340] Behavior: Emotional data analysis, dynamic content adjustment

[1341] Step 7: Play and experience content

[1342] The device decodes the received optimized content and applies it to the VR environment, and the user puts on a VR headset to enjoy a virtual travel experience that is adjusted in real time.

[1343] Input: Optimized content

[1344] Output: Experience in a VR environment

[1345] Action: Decode and apply content, experience it through a VR headset

[1346] (Application example 2)

[1347] 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."

[1348] Conventional virtual travel systems generate content based on the user's specified destination and age, but the experience is static and does not dynamically adjust based on the user's emotions and reactions. As a result, it is difficult for users to obtain a personalized and immersive experience. Furthermore, even if a user expresses emotional changes during the travel experience, these changes are not reflected in the content, resulting in a uniform quality of experience.

[1349] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1350] In this invention, the server includes means for receiving a destination, a time period, and a real or fictional setting from a customer, means for collecting related data based on the selection, means for generating an image or video including the specified destination, time period, and fictional elements based on the collected data, means for transmitting the generated image or video to the customer's terminal, means for acquiring customer emotion data in real time, and means for dynamically adjusting the image or video based on the emotion data. This enables dynamic content adjustment in response to changes in the user's emotions, providing a more personalized and immersive virtual travel experience.

[1351] "Customer" means a user who wishes to use the system to have a virtual travel experience.

[1352] A "destination" is a location that a user specifies they would like to visit in their virtual travel experience.

[1353] An "era" is a particular era that a user specifies they would like to visit in their virtual travel experience.

[1354] "Real or fictional selection" refers to the act of a user choosing whether their virtual travel experience will include only real elements or fictional elements.

[1355] "Means" refers to the mechanisms or methods for realizing a specific function.

[1356] "Related data" refers to information such as geographical information and historical data relating to a specified destination or time period.

[1357] "Images or Videos" means the visual content provided in the virtual travel experience.

[1358] A "terminal" is a device used by a user to receive a virtual travel experience.

[1359] "Emotion data" is information relating to the user's emotional state, and includes facial expressions, voice, heart rate, and other biological information.

[1360] "Dynamic adjustment" refers to changing the content in real time based on the user's emotional data.

[1361] The present invention provides a virtual travel system that includes a destination and time period specified by the customer, as well as real or fictional elements, by combining an emotion engine to recognize the user's emotion data in real time and dynamically adjust the virtual travel experience based on that emotion.

[1362] System Overview

[1363] The system includes a customer device, a server that processes data, and a generative AI model that generates content. These elements work together to provide users with a personalized virtual travel experience.

[1364] Program processing

[1365] 1. Acceptance of user requests

[1366] The device launches a virtual travel application and provides an interface for the user to input destination, time period, and real or fictional selections. Once the user submits their selections, the device converts them into JSON format and sends them to the server.

[1367] 2. Request analysis and data collection

[1368] The server analyzes the request data sent from the device to identify the specified destination, time period, and real or fictional elements, and then collects relevant geographic information, historical data, and fictional elements from databases and external resources.

[1369] 3. Content Generation

[1370] The server sends a request to the generative AI model based on the collected data, including details about the destination, time period, and fictional elements specified by the user. The generative AI model generates high-quality images and videos that reflect these conditions and stores the results in data storage.

[1371] 4. Operation of the Emotion Engine

[1372] The device is equipped with an emotion engine that recognizes the user's emotions in real time. The emotion engine analyzes facial expressions, voice, heart rate, and other biometric information and transmits the emotional data to a server.

[1373] 5. Dynamically adjust content based on emotions

[1374] The server analyzes the received emotional data and dynamically adjusts existing VR content based on the results, for example, changing the scenery to vibrant colors if the user is excited, or triggering a sudden event if the user shows signs of surprise.

[1375] 6. Content playback and experience

[1376] The terminal receives the adjusted VR content sent from the server and displays it on the VR headset, allowing the user to enjoy this adjusted virtual travel experience in real time.

[1377] Hardware and Software Use

[1378] Hardware:

[1379] VR headset: A display for providing a virtual travel experience.

[1380] Emotion detection sensors: Camera, microphone, and heart rate monitor to capture user emotional data.

[1381] software:

[1382] Emotion Engine (EmotionEngineAPI): Analyzes user emotions in real time.

[1383] VR Content Generation Engine (VRContentGenerator): Generates content based on specified conditions.

[1384] Server API: A system for collecting and analyzing data (virtual travel server).

[1385] Specific examples

[1386] For example, if a user specifies "Medieval Europe, 1400, with fictional elements," the process proceeds as follows: The user request is sent to the server in JSON format, relevant data is collected, and the following prompt is sent to the generative AI model:

[1387] Create a virtual travel scene set in Medieval Europe in 1400, including fictional elements.

[1388] The generated content is sent to the user's device and dynamically adjusted based on the user's emotional data. For example, if the user expresses surprise, a surprise event will be added to the content, making the virtual travel experience more interesting.

[1389] This example allows the present invention to provide a personalized, high-quality virtual travel experience that incorporates the user's emotions.

[1390] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1391] Step 1:

[1392] The device launches a virtual travel application and accepts user-specified destination, time period, and real or fictional choice. This information is input, converted into JSON format, and sent to the server. The input is destination, time period, and real or fictional choice, and the output is the request data in JSON format.

[1393] Step 2:

[1394] The server receives and analyzes the request data sent from the device. This analysis identifies the specified destination, era, and real or fictional elements. The input is the request data in JSON format, and the output is the identified destination, era, and fictional element information.

[1395] Step 3:

[1396] The server collects relevant geographic information, historical data, and fictional elements from databases and external resources based on the specified information. The input is the specified information, and the output is a set of relevant data.

[1397] Step 4:

[1398] The server sends a request to the generative AI model based on the collected data. This request generates high-quality images or videos that reflect the specified conditions. The input is a set of relevant data and a prompt to the generative AI model, and the output is the generated image or video.

[1399] Step 5:

[1400] The generated images or videos are temporarily stored in data storage, converted into an appropriate format, and sent to the user's device. The input is the generated content, and the output is the content converted into VR format.

[1401] Step 6:

[1402] The emotion engine installed on the device collects biometric information such as the user's facial expressions, voice, and heart rate in real time to generate emotional data. This emotional data is then sent to a server. The input is the user's biometric information, and the output is emotional data.

[1403] Step 7:

[1404] The server analyzes the received emotional data and dynamically adjusts the VR content based on the analysis results. It modifies the content according to the user's emotions and sends the modified content back to the device. The input is emotional data, and the output is dynamically adjusted content.

[1405] Step 8:

[1406] The terminal receives the adjusted VR content sent from the server and displays it on the VR headset. The user enjoys this adjusted virtual travel experience in real time. The input is the dynamically adjusted content, and the output is the virtual travel experience experienced by the user.

[1407] 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.

[1408] 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.

[1409] 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.

[1410] 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.

[1411] 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.

[1412] 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.

[1413] 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).

[1414] 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.

[1415] 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."

[1416] 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.

[1417] 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).

[1418] 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.

[1419] 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.

[1420] 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.

[1421] 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.

[1422] 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.

[1423] 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.

[1424] 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.

[1425] 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.

[1426] 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.

[1427] 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.

[1428] The following is further disclosed regarding the above embodiment.

[1429] (Claim 1)

[1430] means for accepting destination and time period and real or fictional selections from a customer;

[1431] means for collecting relevant data based on said selections;

[1432] means for generating images or videos including a specified destination, time period, and fictional elements based on the collected data;

[1433] The system includes means for transmitting the generated image or video to a customer terminal.

[1434] (Claim 2)

[1435] The system of claim 1 , wherein the associated data includes geographic information and historical data.

[1436] (Claim 3)

[1437] The system of claim 1 further comprising a method for converting the generated images or videos into a virtual reality format.

[1438] "Example 1"

[1439] (Claim 1)

[1440] means for accepting destination and time period and real or fictional selections from a customer;

[1441] means for converting the selected content into JSON format data and transmitting the data to a server;

[1442] A means for the server to parse the JSON formatted data and identify a destination, an era, and fictional elements;

[1443] means for collecting geographic information, historical data, and fictional elements based on the identified data;

[1444] A means for sending a request to a generative AI based on the collected data and generating an image or video based on specified conditions;

[1445] means for converting the generated images or videos into a format suitable for a virtual reality environment;

[1446] The system includes a means for transmitting the converted image or video to a customer terminal.

[1447] (Claim 2)

[1448] The system of claim 1 , wherein the associated data includes geographic information and historical data.

[1449] (Claim 3)

[1450] The system of claim 1 further comprising a method for converting the generated images or videos into a virtual reality format.

[1451] "Application Example 1"

[1452] (Claim 1)

[1453] means for accepting destination and time period and real or fictional selections from a customer;

[1454] means for collecting relevant data based on said selections;

[1455] means for generating images or videos including a specified destination, time period, and fictional elements based on the collected data;

[1456] means for transmitting the generated image or video to a customer terminal;

[1457] The system includes means for using a head-mounted display to allow the customer to experience the transmitted images or video in a virtual reality format.

[1458] (Claim 2)

[1459] The system of claim 1 , wherein the associated data includes geographic information and historical data.

[1460] (Claim 3)

[1461] The system of claim 1 further comprising a method for converting the generated images or videos into a virtual reality format.

[1462] "Example 2: Combining Emotion Engines"

[1463] (Claim 1)

[1464] means for accepting destination and time period and real or fictional selections from a customer;

[1465] means for collecting relevant data based on said selections;

[1466] means for generating images or videos including a specified destination, time period, and fictional elements based on the collected data;

[1467] means for transmitting the generated image or video to a customer terminal;

[1468] A means for collecting customer emotion data in real time using an emotion engine installed on the device;

[1469] means for dynamically adjusting the content of the virtual trip based on the emotion data;

[1470] The system includes a means for playing back the adjusted content.

[1471] (Claim 2)

[1472] The system of claim 1 , wherein the associated data includes geographic information and historical data.

[1473] (Claim 3)

[1474] The system of claim 1 further comprising a method for converting the generated images or videos into a virtual reality format.

[1475] "Application example 2 when combining emotion engines"

[1476] (Claim 1)

[1477] means for accepting destination and time period and real or fictional selections from a customer;

[1478] means for collecting relevant data based on said selections;

[1479] means for generating images or videos including a specified destination, time period, and fictional elements based on the collected data;

[1480] means for transmitting the generated image or video to a customer terminal;

[1481] A means of obtaining customer sentiment data in real time;

[1482] means for dynamically adjusting said image or video based on said emotion data.

[1483] (Claim 2)

[1484] The system of claim 1 , wherein the associated data includes geographic information and historical data.

[1485] (Claim 3)

[1486] The system of claim 1 further comprising a method for converting the generated images or videos into a virtual reality format. [Explanation of symbols]

[1487] 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. means for accepting destination and time period and real or fictional selections from a customer; means for collecting relevant data based on said selections; means for generating images or videos including a specified destination, time period, and fictional elements based on the collected data; The system includes means for transmitting the generated image or video to a customer terminal.

2. The system of claim 1 , wherein the associated data includes geographic information and historical data.

3. The system of claim 1 , further comprising a method for converting the generated images or videos into a virtual reality format.

Images