system

Abstract

We provide the system. [Solution] We collect the user's past activity history and hobby / interest data. A generation means that analyzes the data and generates suggestions tailored to individual users, Based on the above proposal, three-dimensional guide information for the destination is generated. A means for providing virtual reality and augmented reality experiences to the user, A display means for visualizing information provided by the generation means and the virtual reality and augmented reality experience means via a terminal accessible to the user, A system that includes this.

Description

Technical Field

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

Background Art

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In recent years, with the diversification of travel, there has been a demand for providing travel plans according to individual hobbies and aspirations. However, conventional travel reservation platforms only provide general information and lack personalized support optimized for individual user needs. For this reason, it is difficult for users to easily find a satisfactory travel plan and obtain sufficient information before traveling.

Means for Solving the Problems

[0005] This invention provides a system that collects and analyzes a user's past activity history and hobby preference data to propose a travel plan tailored to each individual user. Based on the proposed plan, it generates three-dimensional guide information for tourist spots and facilities at the destination and presents this information to the user in real time using virtual reality and augmented reality experience means. As a result, users can actually experience the atmosphere of their destination prior to their trip. Furthermore, a premium service enables the provision of customized information by a dedicated guide, providing means to further enhance convenience and satisfaction.

[0006] A "user" refers to an individual or legal entity that utilizes the system and is the entity that enjoys the services provided by it.

[0007] "Activity history" refers to a record of a series of actions and events a user has taken in the past, and includes data such as travel destinations and information about activities they have participated in.

[0008] "Hobby and preference data" refers to information about the user's personal interests and preferences, and travel plans are personalized based on this data.

[0009] "Generative means" refers to a process or device for creating information or proposals based on necessary data, and primarily utilizes generative AI technology.

[0010] "Suggested content" refers to information, including potential travel plans and activities, that are generated by the generation method and should be presented to the user.

[0011] "Three-dimensional guide information" refers to three-dimensional visual information about facilities and tourist spots at a destination, and serves as a foundation for users to virtually experience their travel destination.

[0012] "Virtual reality and augmented reality experience means" refers to technologies and systems that provide users with virtual or augmented reality information, primarily utilizing VR (Virtual Reality) and AR (Augmented Reality).

[0013] "Display means" refers to a device or interface that outputs information so that the user can visually confirm it.

[0014] A "dedicated guide" refers to a professional guide or concierge whose purpose is to provide individualized support to users, offering information and assistance according to the user's needs.

[0015] "Advertising management means" refers to a system or process that manages advertisements from partner companies and provides them to users in an appropriate format. [Brief explanation of the drawing]

[0016] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] Shows an emotion map to which a plurality of emotions are mapped. [Figure 10] Shows an emotion map to which a plurality of emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when an emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when an emotion engine is combined.

Mode for Carrying Out the Invention

[0017] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0018] First, the terms used in the following description will be described.

[0019] In the following embodiments, a processor with a reference numeral (hereinafter simply referred to as "processor") may be one arithmetic unit or a combination of a plurality of arithmetic units. Also, the processor may be one type of arithmetic unit or a combination of a plurality of types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0020] In the following embodiments, signed RAM (Random Access Memory) is a memory that temporarily stores information and is used as work memory by the processor.

[0021] In the following embodiments, the signed storage is one or more non-volatile storage devices that store various programs and various parameters. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes.

[0022] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0023] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0024] [First Embodiment]

[0025] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0026] As shown in Figure 1, the 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.

[0027] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0028] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0029] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and 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.

[0030] 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 perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0031] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0032] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0033] As shown in Figure 2, in the data processing device 12, a specific processing 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" related to the technology of this 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 according to the specific processing program 56 executed on the RAM 30.

[0034] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0035] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0036] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0037] This invention provides a highly accurate travel plan by individually personalizing a travel planning system based on the user's preferences. The program's processing is described below in natural language.

[0038] System configuration and operating principle

[0039] The system is primarily built around servers, terminals, and user operations. The servers store data on users' past travel history and hobbies, and use this information to generate personalized travel plans using a generative AI model.

[0040] For example, if user A is interested in outdoor activities, the server may analyze information about nature parks and hiking trails they have visited in the past and suggest new mountain resorts they should visit. This personalized plan is based on the user's current preferences and past activity history.

[0041] VR / AR guide provision

[0042] The server generates guide videos that can be experienced in virtual reality (VR) or augmented reality (AR) based on a 3D model of the selected travel destination and data on tourist attractions. These videos are sent to the user's device, allowing the user to virtually experience the atmosphere of the destination before traveling. For example, if user B chooses a seaside resort, they can experience a virtual tour of the beach and major accommodations, which helps them to make more concrete travel plans.

[0043] Customization services and advertising management

[0044] Premium users can receive more detailed, customized plans through a dedicated concierge service provided by the server. The server adjusts travel details based on individual questions and requests, providing the most suitable information and support for the user's needs. Throughout this process, the device provides visual information, making it easy for the user to review the content.

[0045] Furthermore, the server uses advertising management mechanisms to display advertising information provided by partner businesses to users. This allows users to obtain useful travel-related services and promotional information, and advertising revenue also supports the sustainable operation of the system.

[0046] In this way, the present invention makes it possible to provide users with a comprehensive and highly satisfying travel planning experience.

[0047] The following describes the processing flow.

[0048] Step 1:

[0049] When a user logs into the system, the server collects the user's past travel history, hobbies, and preferences from the database. This includes places previously visited, registered preferences, or travel conditions set by the user.

[0050] Step 2:

[0051] The server inputs the collected data into a generating AI model for analysis. This generates multiple options to suggest travel plans that best suit the user's preferences. At this stage, the analysis focuses on identifying tourist destinations and activities that match the user's preferences.

[0052] Step 3:

[0053] From the generated travel plans, the server selects the most suitable plan and creates a 3D guide video using virtual reality and augmented reality technologies. The server generates a 3D model of the travel destination and related information as VR / AR content and prepares to send it to the user's device.

[0054] Step 4:

[0055] The server transmits a 3D guide video to the device, and the user visually experiences this content through the device. Users can virtually visit tourist spots and accommodations at their planned travel destination, making it easier to plan their trip in detail.

[0056] Step 5:

[0057] Premium members can consult with a dedicated concierge via their device to create a customized travel plan. The server provides additional information and advice based on the user's requests, supporting a smoother travel experience.

[0058] Step 6:

[0059] The server properly manages advertising information provided by partner companies and delivers it to users through their devices. This allows users to obtain information about products and services that are useful for travel preparations and while at their destination.

[0060] This series of processing steps enables the system to provide users with personalized travel plans and realistic experience information.

[0061] (Example 1)

[0062] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0063] In travel planning, it has traditionally been difficult to provide highly personalized suggestions based on users' individual preferences and past experiences. Furthermore, there was a lack of intuitive and immersive informational tools to allow users to experience their destinations in advance. In addition, the lack of a process for appropriately presenting useful advertising information to users and incorporating user feedback to make improvements was a problem.

[0064] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0065] In this invention, the server includes a generation device that collects and analyzes the user's past history and preference data to generate suggestion information tailored to each individual user; a virtual and augmented space experience device that generates and presents 3D guide information of the destination based on the suggestion information; a display device that visualizes the information provided via electronic devices; and a device that collects evaluations from the user and analyzes feedback information to reflect in future suggestions. As a result, users can obtain highly personalized travel plans and virtually experience destinations in advance, and further optimize the suggestion content by continuously incorporating user feedback.

[0066] A "user" refers to an individual who utilizes a specific service or function, and whose behavioral history and preferences are processed within the system.

[0067] "History" refers to information related to a user's past actions and choices, including places visited and activities participated in.

[0068] "Preference data" refers to information about a user's preferences, specifically data about their favorite activities and areas of interest.

[0069] A "generation device" refers to a computer program or hardware that creates user-optimized suggestion information based on collected data.

[0070] "3D guide information" refers to visual information provided to allow users to experience their destination in three dimensions, and specifically includes 3D models and virtual tours.

[0071] "Virtual space and augmented space experience devices" refer to technological devices that allow users to experience the real environment and virtually augmented information in an integrated manner, utilizing VR (virtual reality) and AR (augmented reality) technologies.

[0072] "Electronic devices" refer to devices used by users to receive and manipulate information, and include mobile phones, tablets, and computers.

[0073] A "visualizing display device" is a device that has the function of visually conveying generated information, and the information is displayed through a screen or projector.

[0074] "Feedback information" refers to information about reactions and evaluations provided by users to the system, and is used for system improvement.

[0075] This invention is a system that highly personalizes a user's travel plan. To achieve this, the program is designed and executed based on the following configuration.

[0076] First, the server collects data on the user's travel history and preferences from their device. This data includes information about regions they have visited in the past and activities they are interested in. The server uses a generative AI model to analyze this data. This model can process large amounts of data quickly and recognize the user's preference patterns. Based on the analysis results, the server generates a travel plan optimized for the user. This may include specific suggestions such as, "We recommend you visit a new mountain resort."

[0077] Next, the server prepares 3D guide information for the selected travel destination. This guide information is provided to the user using virtual reality (VR) or augmented reality (AR) technologies. For example, the device uses a VR or AR platform to display a 3D model of the selected tourist destination, giving the user a virtual tour experience beforehand. The device then displays visual information that helps the user experience the atmosphere of the destination in advance and plan a concrete trip.

[0078] Furthermore, the server collects and analyzes user feedback. Users input their evaluations and opinions on the provided travel plans and virtual experiences through their devices. This feedback is reflected in future travel plan generation processes and serves as a factor in the continuous improvement of the system.

[0079] For example, if user A enters the prompt "Suggest travel destinations for users interested in outdoor activities," the server will suggest mountain resorts based on past data. This allows users to quickly receive travel plans that match their interests.

[0080] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0081] Step 1:

[0082] The server collects data on travel history and preferences from the user's device. Inputs include the user's visit history, activities of interest, and past ratings. The server then performs the specific action of saving this data to a database for analysis. The output is an updated user profile generated within the server.

[0083] Step 2:

[0084] The server analyzes the collected data. Here, a generative AI model is used, taking user profiles as input to perform data calculations to identify user preference patterns. The output is a list of recommended travel destinations based on the user's interests. Specifically, the model extracts preference patterns and identifies recommended locations.

[0085] Step 3:

[0086] The server generates 3D guide information based on recommended travel destinations. In this process, the analysis results are used as input to generate a three-dimensional model of the corresponding destination using a 3D modeling tool. The output is virtual reality (VR) or augmented reality (AR) content that the user can experience. Specifically, the server collects 3D data of the destination and formats it as guide information.

[0087] Step 4:

[0088] The terminal presents the user with 3D guide information received from the server. The input is virtual travel content generated by the server. This content is displayed using visualization software, allowing the user to experience the destination in advance. The output is a VR / AR experience that the user can interact with on the terminal. Specifically, the terminal takes in guide information and provides the user with a visual virtual tour.

[0089] Step 5:

[0090] Users provide feedback on the virtual experience and suggested travel plan. Input consists of ratings and comments entered by the user via their device. Output is the server receiving user feedback data and saving it for future plan generation. Specifically, the user enters a rating, and the device sends it to the server.

[0091] (Application Example 1)

[0092] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0093] In modern travel planning, there are few systems that fully utilize users' individual preferences and travel history to provide an immersive experience with a dedicated guide. Therefore, there is a need to efficiently generate personalized plans and integrate them with visual experiences and useful information.

[0094] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0095] In this invention, the server includes: generation means for collecting the user's past behavioral history and preference data and analyzing the data to generate a plan tailored to the individual user; virtual reality and augmented reality experience means for generating three-dimensional visual information of the destination based on the plan and presenting the information to the user; video presentation means for visualizing the information provided by the generation means and the virtual reality and augmented reality experience means via a communication device operable by the user; and advertising presentation means for displaying commercial information related to the proposed plan. This allows the user to experience a personalized travel plan based on their preferences in advance and obtain useful information.

[0096] "User" refers to individual consumers or users who utilize the system.

[0097] "Past activity history" refers to a record of the user's past activities and usage information.

[0098] "Preference data" refers to a collection of information that indicates a user's interests and preferences.

[0099] "Generation method" refers to a mechanism for constructing specific information or content based on collected data.

[0100] "Plan details" refers to the charts, schedules, and information and instructions regarding destinations that are proposed to the user.

[0101] "Three-dimensional visual information" refers to visual information represented by three-dimensional images or models.

[0102] "Virtual reality and augmented reality experience means" refers to means of presenting information visually and experientially using virtual reality (VR) and augmented reality (AR) technologies.

[0103] "Communication device" refers to a device used by a user to receive information via a network, and generally includes smartphones and tablets.

[0104] "Visual presentation means" refers to devices such as displays and screens, and their control means, used to provide visual information to users.

[0105] "Commercial information" refers to information related to promotions and advertisements concerning products and services.

[0106] "Advertising presentation means" refers to mechanisms and systems for appropriately displaying commercial information to users.

[0107] The system to realize this application example will be implemented with the following configuration.

[0108] First, the server collects and stores the user's past behavioral history and preference data. This information is efficiently managed using a database management system (e.g., MySQL®, PostgreSQL). The collected data is processed using a generative AI model (e.g., TENSORFLOW®, PyTorch) as foundational data for generating travel plans tailored to the user.

[0109] Next, the AI ​​model, acting as a generation tool, constructs a plan tailored to the user's individual preferences based on the analyzed data. This plan includes potential destinations and recommended activities, providing the user with personalized suggestions.

[0110] Based on this proposal, the server constructs three-dimensional visual information of the destination. 3D modeling / rendering software such as Unreal Engine or Unity is used to generate materials for virtual reality (VR) and augmented reality (AR) experiences. This allows users to virtually visit key locations and accommodations at their travel destination.

[0111] Users experience the generated plan content and three-dimensional visual information using communication devices such as smartphones and tablets. This information is visualized through video presentation means via an application, providing users with an interactive experience.

[0112] Furthermore, the server manages commercial information related to the plan and displays generated advertisements on the user's device. An advertising management platform (e.g., Google® AdSense API) is used to manage advertising information and present relevant information at the appropriate time.

[0113] For example, if an outdoor enthusiast is planning a mountain climbing trip, this system can suggest new spots based on previously visited mountain areas and provide a virtual tour of those mountains. Through this experience, users can create more specific and personalized travel plans.

[0114] An example of a prompt might be: "Design a system that generates VR tours of nature parks of interest to the user and displays promotional information for related outdoor equipment."

[0115] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0116] Step 1:

[0117] The server collects users' past behavioral history and preference data from their devices. Inputs include user behavioral data and questionnaire responses regarding their hobbies; output is the storage of this data in the server's database. The server then ensures data integrity and organization, building a foundation for efficient analysis.

[0118] Step 2:

[0119] The server inputs the collected data into a generating AI model to create a travel plan tailored to the user. The input here consists of historical behavioral and preference data stored on the server, and the output is a user-specific travel plan. In this process, the AI ​​model analyzes patterns to identify recommended destinations and activities.

[0120] Step 3:

[0121] The server generates three-dimensional visual information of the destination based on the generated travel plan. The input is travel destination information suggested by an AI model, and the output is visual content created using 3D modeling software. Unreal Engine or Unity is used to recreate the scenery and facilities of the travel destination in a virtual environment.

[0122] Step 4:

[0123] Users view three-dimensional visual information generated using their device and engage in virtual reality and augmented reality experiences. The device receives 3D visual information provided by the server and outputs it as video. Users can operate and explore virtual travel destinations using the touchscreen and sensors on their device.

[0124] Step 5:

[0125] The server manages commercial information related to travel plans and displays relevant advertisements on the user's device. The input is a database of commercial information related to the travel plan, and the output is data for displaying the most relevant advertisements to the user. It uses the Google AdSense API to push appropriate advertisements to the user's device.

[0126] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0127] This invention further enhances the provision of personalized travel suggestions and experiences by incorporating an emotion engine that recognizes user emotions. The following describes specific embodiments for carrying out this invention.

[0128] System configuration and operating principle

[0129] The system consists of a server, a terminal, and user interaction. The server provides basic functionality by ingesting the user's travel history, hobbies, and preferences data, and generating personalized travel plans using a generative AI model. Furthermore, an emotion engine is added to collect and analyze emotional data expressed by the user while using the terminal in real time. This emotional data is estimated from the user's voice tone, facial expression analysis, and input patterns.

[0130] For example, if user A expresses excitement or anticipation when receiving a suggestion for an overseas trip, the server can use that emotional information to add more interesting options or activities. Conversely, if the server detects signals of stress or anxiety, it will present a plan tailored to alleviate the user's anxiety, including relaxing travel information and reassuring elements.

[0131] Optimization of virtual reality and augmented reality experiences

[0132] Virtual reality (VR) and augmented reality (AR) content is dynamically adjusted based on the user's emotional state. The device utilizes feedback from the emotion engine when providing the user with 3D guided content received from the server. For example, if user B indicates fatigue, the device suggests a VR tour of a quiet natural environment, providing an immersive experience that takes the user's state into account.

[0133] Personalized information delivery and advertising

[0134] Premium members receive personalized information from a dedicated guide based on their emotions. The server uses data from the emotion engine to understand the user's needs in more detail and provides specific travel guidance and suggestions accordingly.

[0135] Furthermore, in the advertising management system, data from the emotion engine is utilized to select and display advertisements that are relevant to the user's emotions. For example, if a user is showing positive emotions, advertisements that encourage new experiences can be provided. In this way, the present invention comprehensively utilizes emotion data to realize a deeper level of personalized service for users.

[0136] The following describes the processing flow.

[0137] Step 1:

[0138] When a user logs into the system, the server collects and analyzes the user's past travel history, hobbies, and preferences from the database. This prepares the server for creating a travel plan based on the user's preferences.

[0139] Step 2:

[0140] The device collects the user's voice tone and facial expression data in real time using an emotion engine and analyzes their emotional state. This allows the system to understand what emotions the user is feeling about the content they are viewing.

[0141] Step 3:

[0142] Based on analyzed emotional data and past preference data, the server utilizes a generative AI model to customize the optimal travel plan for the user. For example, if positive emotions are detected, it proactively suggests new experiences and activities.

[0143] Step 4:

[0144] The server generates three-dimensional guide information tailored to the user's emotions and sends it to the terminal as virtual reality and augmented reality content. Through this, the user can have a virtual experience of their travel destination.

[0145] Step 5:

[0146] The device visualizes the VR / AR content sent to the user and optimizes the displayed content based on feedback from the emotion engine. For example, if the user is in an emotional state where relaxation is needed, it will display content that emphasizes cancellation facilities or the tranquility of nature.

[0147] Step 6:

[0148] If the user is a premium member, a dedicated guide will provide additional customized information via the server, taking into account emotional data. This helps create a detailed travel plan that meets the user's needs.

[0149] Step 7:

[0150] The server considers sentiment data and other relevant information to selectively display advertising information from partner businesses according to the user's sentiment. This allows users to obtain useful travel-related information.

[0151] Through these steps, the system can provide users with highly personalized travel plans and experiences.

[0152] (Example 2)

[0153] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0154] Traditional travel suggestion systems, while offering suggestions based on users' past behavior and interests, failed to consider real-time changes in emotional states, making it difficult to provide services tailored to the specific needs of individual users. This resulted in insufficient personalization of the user experience and potentially lowered service satisfaction.

[0155] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0156] In this invention, the server includes means for collecting and analyzing user emotional data in real time, means for dynamically adjusting the suggested content based on the collected emotional data, and a display device for visualizing information provided via a generation device and a virtual environment and an extended environment experience device. This makes it possible to provide more personalized travel suggestions and experiences based on the user's real-time emotional changes.

[0157] "Users" refer to individuals who receive travel suggestions and experiences through the system.

[0158] "Activity history" refers to records of past travels taken by users and their operation history within the system.

[0159] "Interest data" refers to information about users' hobbies and preferences, which forms the basis for providing personalized suggestions.

[0160] A "generator" refers to equipment or software used to analyze a user's behavioral history and interest data to create personalized recommendations.

[0161] "Three-dimensional guide information" refers to three-dimensional visual guides and navigation information about a travel destination.

[0162] A "virtual environment" refers to a digital experience space created by a computer.

[0163] An "augmented environment" refers to an experiential space where digital information is overlaid onto real-world scenery.

[0164] A "display device" refers to a device used to visually present generated information or suggestions to users.

[0165] "Emotional data" refers to data that represents the user's current emotional state, and is inferred from factors such as voice, facial expressions, and input patterns.

[0166] "Means of dynamic adjustment" refers to functions that modify and optimize the proposed content on the spot based on real-time data changes.

[0167] This invention is a system that provides personalized travel suggestions utilizing user emotional data. Specific embodiments of the system are described below.

[0168] The server uses aggregated user behavior history and interest data to generate suggestions using a generative AI model. This makes it possible to create travel plans tailored to individual users. The server analyzes this data using high-performance database software and an AI framework.

[0169] The device collects user emotional data in real time. Equipped with a microphone and camera, it infers the user's current emotional state through voice tone analysis and facial expression analysis. This allows the device to provide information that best suits the user's emotions.

[0170] Users receive travel plans and guide information through their devices. The devices use display devices to provide or simulate experiences in virtual and augmented environments. This allows users to have an immersive experience as if they were actually there, even before visiting the location.

[0171] For example, if a user accesses the device with the goal of "finding a place to relax," and the device detects from emotional data that the user is fatigued, it will suggest a VR experience of a quiet nature or resort. If the user confirms this relaxing experience and prompts "tell me why this is recommended," the server will use an AI model to respond, "Considering your level of fatigue, we have selected an experience that is highly relaxing."

[0172] In this embodiment, the system can provide dynamic suggestions and experiences based on the user's emotions, thereby improving user satisfaction.

[0173] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0174] Step 1:

[0175] The server collects user behavior history and interest data. This data includes the user's past travels and system preferences. The server efficiently retrieves and aggregates this information using high-speed database queries. The input is the user's identification information, and the output is the collected behavior history data and interest data. Specifically, the server extracts data from the database based on the user ID.

[0176] Step 2:

[0177] The device collects real-time emotional data from the user. A microphone and camera analyze voice tone and facial expressions to infer the user's emotional state. Input is the user's voice and video data, and output is the analyzed emotional data. Based on this emotional data, the device identifies the emotions the user is currently experiencing (e.g., excitement, relief, fatigue). Specifically, a voice analysis algorithm analyzes the pitch and tempo of the sound, and facial expression analysis is performed using video from the camera.

[0178] Step 3:

[0179] The server integrates collected emotional data and behavioral history data and uses a generative AI model to create a personalized travel plan. In this process, the input is the output data from steps 1 and 2, and the output is a travel plan optimized for the user. In a specific example, the AI ​​model analyzes the received data and suggests travel destinations and activities that match the user's current needs. For instance, if the generative AI model determines from the emotional data that the user needs "relaxation," it will select a tranquil travel destination.

[0180] Step 4:

[0181] The user is presented with a travel plan via their device and provides feedback using prompts. The input is travel plan data from the server, and the output is the user's feedback. Specifically, this involves the user reviewing the details of the presented plan and entering prompts such as "Tell me why you chose this plan."

[0182] Step 5:

[0183] The server receives feedback from the user and dynamically adjusts the travel plan as needed. The input is user feedback, and the output is the readjusted travel plan. Based on user feedback, the server updates what it should provide, achieving more accurate customization. Specifically, this involves a process in which the generating AI model performs new data analysis in response to prompts and modifies the suggested content.

[0184] Step 6:

[0185] The device provides the user with an optimized travel experience, both visually and virtually. The input is a retuned travel plan from a server, and the output is VR or AR content received by the user. Specific operations include the device providing the user with an immersive experience through VR goggles or AR devices.

[0186] Through this series of steps, the system can provide a travel experience tailored to individual users, thereby improving their satisfaction.

[0187] (Application Example 2)

[0188] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0189] Traditional travel suggestion systems could provide suggestions based on users' past activity history and interests, but they struggled to personalize suggestions in real time, taking into account the user's emotional state. As a result, they were unable to provide optimal suggestions tailored to the user's current emotions, leading to a tendency for travel experiences to be uniform. Furthermore, personalization based on user emotions was insufficient even in advertising and content suggestions.

[0190] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0191] In this invention, the server includes a generation means for collecting and analyzing the user's past activity history and hobby preference data to generate personalized suggestions; an emotion analysis means for estimating the user's emotional state and dynamically adjusting the suggestions based on the emotion data; and a visual experience means for generating three-dimensional guide information for destinations. This enables a high level of personalization based on the user's current emotions, improving the quality of travel suggestions and advertisement displays.

[0192] "Generation means" refers to a device or process that has the function of analyzing a user's past activity history and hobby preference data to generate suggestions tailored to each individual user.

[0193] "Emotional analysis means" refers to a device or process that has the function of estimating the user's emotional state in real time from the user's voice, facial expressions, etc., and dynamically adjusting the suggested content based on that data.

[0194] A "visual experience means" is a device or process that utilizes virtual reality or augmented reality technologies to generate three-dimensional guide information for a destination and present it visually to the user.

[0195] "Display means" refers to an apparatus or process for visualizing and providing to a user information provided by a generating means and a visual experience means via a terminal accessible to the user.

[0196] "Advertising management means" refers to a device or process that manages advertising information from external partner companies and has the function of presenting advertisements appropriately based on the user's emotions.

[0197] The system implementing this invention consists of a server, a terminal, and user interaction. The server first collects the user's past activity history and hobby preference data, analyzes this data, and includes a generation means for providing travel suggestions tailored to each individual user. This generation means plays the role of generating optimal suggestions based on the user's data.

[0198] Next, the server uses sentiment analysis tools to estimate the user's emotional state in real time from facial and voice data collected while the user is using the device. This makes it possible to dynamically adjust the suggested content based on the user's current emotions. For this part, sentiment analysis software such as Microsoft® Azure® Face API or Google Cloud Speech-to-Text API is used.

[0199] The terminal visually presents three-dimensional guide information transmitted from the server to the user, providing a virtual reality or augmented reality experience. This visual experience makes it possible to give the user a sense of presence as if they were actually there. Furthermore, the terminal visualizes the suggested content and visual experience generated using a display device, making it easily accessible to the user.

[0200] Furthermore, the advertising management system allows advertising information provided by external partners to be managed by a server, ensuring that advertisements are appropriately displayed according to the user's emotional state. This enables personalized marketing and provides users with the most relevant information.

[0201] As a concrete example, if a user is experiencing stress on their device, the server suggests video content of natural scenery that is expected to have a relaxing effect. To make such suggestions, a generative AI model is used, and a prompt message such as "Generate a relaxing video based on a natural environment" is employed. In this way, the present invention realizes a richer user experience by providing personalized information and experiences according to the user's emotional state and preferences.

[0202] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0203] Step 1:

[0204] When a user begins using the device, it retrieves the user's past activity history and hobbies / interests from a cloud-based database. This data is sent to a server, where it is used as input for analysis. The output consists of basic suggestions tailored to each user.

[0205] Step 2:

[0206] The server applies a generative AI model to generate optimal suggestions for each user based on the data acquired in Step 1. The input data consists of past activity history and hobby preference data, and the output is a basic travel plan tailored to the user's preferences. The prompt message "Generate an optimal travel plan based on the user's past data" is used during this process.

[0207] Step 3:

[0208] The device is equipped with a camera and microphone, which collect the user's facial expressions and voice in real time. This data is sent to a server and used as input for sentiment analysis. The output is analyzed as the user's emotional state.

[0209] Step 4:

[0210] The server's emotion analysis mechanism uses emotion analysis software to estimate the user's emotions from the data collected in step 3. The inputs are facial recognition data and voice tone analysis data, and the output is emotional information (e.g., joy, surprise, thrill). Based on this output, the suggested content is dynamically updated.

[0211] Step 5:

[0212] The updated suggestions are adjusted to include 3D guide information generated on the server and then sent to the terminal. The input is the user's emotional information and basic travel plan data, and the output is 3D guide information adjusted according to the emotional state.

[0213] Step 6:

[0214] The terminal provides the user with a virtual reality or augmented reality experience based on the information it receives. Through this, the user can experience a visual preview of a travel plan, which is presented using a device such as a headset. The input is three-dimensional guide information, and the output is the visual experience presented to the user.

[0215] Step 7:

[0216] The server uses an advertising management system to manage advertisements from external partners and dynamically selects relevant advertisements based on the user's emotional state and suggested content. The input is emotional information and updated suggested content, and the output is the advertisement information presented to the user.

[0217] 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating 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.

[0218] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0219] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0220] [Second Embodiment]

[0221] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0222] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0223] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0224] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0225] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0226] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0227] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0228] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0229] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[0230] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0231] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0232] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. 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".

[0233] This invention provides a highly accurate travel plan by individually personalizing a travel planning system based on the user's preferences. The program's processing is described below in natural language.

[0234] System configuration and operating principle

[0235] The system is primarily built around servers, terminals, and user operations. The servers store data on users' past travel history and hobbies, and use this information to generate personalized travel plans using a generative AI model.

[0236] For example, if user A is interested in outdoor activities, the server may analyze information about nature parks and hiking trails they have visited in the past and suggest new mountain resorts they should visit. This personalized plan is based on the user's current preferences and past activity history.

[0237] VR / AR guide provision

[0238] The server generates guide videos that can be experienced in virtual reality (VR) or augmented reality (AR) based on a 3D model of the selected travel destination and data on tourist attractions. These videos are sent to the user's device, allowing the user to virtually experience the atmosphere of the destination before traveling. For example, if user B chooses a seaside resort, they can experience a virtual tour of the beach and major accommodations, which helps them to make more concrete travel plans.

[0239] Customization services and advertising management

[0240] Premium users can receive more detailed, customized plans through a dedicated concierge service provided by the server. The server adjusts travel details based on individual questions and requests, providing the most suitable information and support for the user's needs. Throughout this process, the device provides visual information, making it easy for the user to review the content.

[0241] Furthermore, the server uses advertising management mechanisms to display advertising information provided by partner businesses to users. This allows users to obtain useful travel-related services and promotional information, and advertising revenue also supports the sustainable operation of the system.

[0242] In this way, the present invention makes it possible to provide users with a comprehensive and highly satisfying travel planning experience.

[0243] The following describes the processing flow.

[0244] Step 1:

[0245] When a user logs into the system, the server collects the user's past travel history, hobbies, and preferences from the database. This includes places previously visited, registered preferences, or travel conditions set by the user.

[0246] Step 2:

[0247] The server inputs the collected data into a generating AI model for analysis. This generates multiple options to suggest travel plans that best suit the user's preferences. At this stage, the analysis focuses on identifying tourist destinations and activities that match the user's preferences.

[0248] Step 3:

[0249] From the generated travel plans, the server selects the most suitable plan and creates a 3D guide video using virtual reality and augmented reality technologies. The server generates a 3D model of the travel destination and related information as VR / AR content and prepares to send it to the user's device.

[0250] Step 4:

[0251] The server transmits a 3D guide video to the device, and the user visually experiences this content through the device. Users can virtually visit tourist spots and accommodations at their planned travel destination, making it easier to plan their trip in detail.

[0252] Step 5:

[0253] Premium members can consult with a dedicated concierge via their device to create a customized travel plan. The server provides additional information and advice based on the user's requests, supporting a smoother travel experience.

[0254] Step 6:

[0255] The server properly manages advertising information provided by partner companies and delivers it to users through their devices. This allows users to obtain information about products and services that are useful for travel preparations and while at their destination.

[0256] This series of processing steps enables the system to provide users with personalized travel plans and realistic experience information.

[0257] (Example 1)

[0258] Next, we will describe Example 1. 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."

[0259] In travel planning, it has traditionally been difficult to provide highly personalized suggestions based on users' individual preferences and past experiences. Furthermore, there was a lack of intuitive and immersive informational tools to allow users to experience their destinations in advance. In addition, the lack of a process for appropriately presenting useful advertising information to users and incorporating user feedback to make improvements was a problem.

[0260] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0261] In this invention, the server includes a generation device that collects and analyzes the user's past history and preference data to generate suggestion information tailored to each individual user; a virtual and augmented space experience device that generates and presents 3D guide information of the destination based on the suggestion information; a display device that visualizes the information provided via electronic devices; and a device that collects evaluations from the user and analyzes feedback information to reflect in future suggestions. As a result, users can obtain highly personalized travel plans and virtually experience destinations in advance, and further optimize the suggestion content by continuously incorporating user feedback.

[0262] A "user" refers to an individual who utilizes a specific service or function, and whose behavioral history and preferences are processed within the system.

[0263] "History" refers to information related to a user's past actions and choices, including places visited and activities participated in.

[0264] "Preference data" refers to information about a user's preferences, specifically data about their favorite activities and areas of interest.

[0265] A "generation device" refers to a computer program or hardware that creates user-optimized suggestion information based on collected data.

[0266] "3D guide information" refers to visual information provided to allow users to experience their destination in three dimensions, and specifically includes 3D models and virtual tours.

[0267] "Virtual space and augmented space experience devices" refer to technological devices that allow users to experience the real environment and virtually augmented information in an integrated manner, utilizing VR (virtual reality) and AR (augmented reality) technologies.

[0268] "Electronic devices" refer to devices used by users to receive and manipulate information, and include mobile phones, tablets, and computers.

[0269] A "visualizing display device" is a device that has the function of visually conveying generated information, and the information is displayed through a screen or projector.

[0270] "Feedback information" refers to information about reactions and evaluations provided by users to the system, and is used for system improvement.

[0271] This invention is a system that highly personalizes a user's travel plan. To achieve this, the program is designed and executed based on the following configuration.

[0272] First, the server collects data on the user's travel history and preferences from their device. This data includes information about regions they have visited in the past and activities they are interested in. The server uses a generative AI model to analyze this data. This model can process large amounts of data quickly and recognize the user's preference patterns. Based on the analysis results, the server generates a travel plan optimized for the user. This may include specific suggestions such as, "We recommend you visit a new mountain resort."

[0273] Next, the server prepares 3D guide information for the selected travel destination. This guide information is provided to the user using virtual reality (VR) or augmented reality (AR) technologies. For example, the device uses a VR or AR platform to display a 3D model of the selected tourist destination, giving the user a virtual tour experience beforehand. The device then displays visual information that helps the user experience the atmosphere of the destination in advance and plan a concrete trip.

[0274] Furthermore, the server collects and analyzes user feedback. Users input their evaluations and opinions on the provided travel plans and virtual experiences through their devices. This feedback is reflected in future travel plan generation processes and serves as a factor in the continuous improvement of the system.

[0275] For example, if user A enters the prompt "Suggest travel destinations for users interested in outdoor activities," the server will suggest mountain resorts based on past data. This allows users to quickly receive travel plans that match their interests.

[0276] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0277] Step 1:

[0278] The server collects data on travel history and preferences from the user's device. Inputs include the user's visit history, activities of interest, and past ratings. The server then performs the specific action of saving this data to a database for analysis. The output is an updated user profile generated within the server.

[0279] Step 2:

[0280] The server analyzes the collected data. Here, a generative AI model is used, taking user profiles as input to perform data calculations to identify user preference patterns. The output is a list of recommended travel destinations based on the user's interests. Specifically, the model extracts preference patterns and identifies recommended locations.

[0281] Step 3:

[0282] The server generates three-dimensional guide information based on recommended travel destinations. In this process, using the analysis results as input, a three-dimensional model of the corresponding destination is generated using a 3D modeling tool. The output is content for virtual reality (VR) or augmented reality (AR) that users can experience. As a specific operation, the server collects 3D data of the destination and formats it as guide information.

[0283] Step 4:

[0284] The terminal presents the three-dimensional guide information received from the server to the user. The input is the virtual travel content generated by the server. This content is displayed using visualization software to let the user experience the destination in advance. The output is a VR / AR experience that the user can operate on the terminal. As a specific operation, the terminal takes in the guide information and provides the user with a visual virtual tour.

[0285] Step 5:

[0286] The user provides feedback on the virtual experience and the proposed travel plan. The input is the evaluations and comments that the user enters through the terminal. As output, the server receives the feedback data from the user and saves it for reflection in the next plan generation. As a specific operation, the user enters an evaluation, and the terminal sends it to the server.

[0287] (Application Example 1)

[0288] Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as the "server", and the smart glasses 214 are referred to as the "terminal".

[0289] In modern travel planning, systems that make full use of users' individual preferences and behavioral histories to provide an immersive experience with a personalized guide are limited. Therefore, there is a need to efficiently generate personalized plans and integrally provide visual experiences and useful information based on them.

[0290] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0291] In this invention, the server includes: generation means for collecting the user's past behavioral history and preference data and analyzing the data to generate a plan tailored to the individual user; virtual reality and augmented reality experience means for generating three-dimensional visual information of the destination based on the plan and presenting the information to the user; video presentation means for visualizing the information provided by the generation means and the virtual reality and augmented reality experience means via a communication device operable by the user; and advertising presentation means for displaying commercial information related to the proposed plan. This allows the user to experience a personalized travel plan based on their preferences in advance and obtain useful information.

[0292] "User" refers to individual consumers or users who utilize the system.

[0293] "Past activity history" refers to a record of the user's past activities and usage information.

[0294] "Preference data" refers to a collection of information that indicates a user's interests and preferences.

[0295] "Generation method" refers to a mechanism for constructing specific information or content based on collected data.

[0296] "Plan details" refers to the charts, schedules, and information and instructions regarding destinations that are proposed to the user.

[0297] "Three-dimensional visual information" refers to visual information represented by three-dimensional images or models.

[0298] "Virtual reality and augmented reality experience means" refers to means of presenting information visually and experientially using virtual reality (VR) and augmented reality (AR) technologies.

[0299] "Communication device" refers to a device used by a user to receive information via a network, and generally includes smartphones and tablets.

[0300] "Visual presentation means" refers to devices such as displays and screens, and their control means, used to provide visual information to users.

[0301] "Commercial information" refers to information related to promotions and advertisements concerning products and services.

[0302] "Advertising presentation means" refers to mechanisms and systems for appropriately displaying commercial information to users.

[0303] The system to realize this application example will be implemented with the following configuration.

[0304] First, the server collects and stores the user's past behavioral history and preference data. This information is efficiently managed using a database management system (e.g., MySQL, PostgreSQL). The collected data is then processed using generative AI models (e.g., TensorFlow, PyTorch) as foundational data for generating travel plans tailored to the user.

[0305] Next, the AI ​​model, acting as a generation tool, constructs a plan tailored to the user's individual preferences based on the analyzed data. This plan includes potential destinations and recommended activities, providing the user with personalized suggestions.

[0306] Based on this proposal, the server constructs three-dimensional visual information of the destination. 3D modeling / rendering software such as Unreal Engine or Unity is used to generate materials for virtual reality (VR) and augmented reality (AR) experiences. This allows users to virtually visit key locations and accommodations at their travel destination.

[0307] The user experiences the generated planned content and three-dimensional visual information using a communication device such as a smartphone or a tablet. These pieces of information are visualized by a video presentation means through an application, providing an interactive experience to the user.

[0308] Furthermore, the server manages commercial information related to the planned content and displays the generated advertisements on the user's terminal. For the management of advertisement information, an advertisement management platform (e.g., Google AdSense API) is used to present relevant information at an appropriate timing.

[0309] As a specific example, when an outdoor-loving user plans a mountain climbing trip, this system can propose new spots based on the mountainous areas visited in the past and provide a virtual tour of that mountain. Through this experience, the user can construct a more specific and suitable travel plan for themselves.

[0310] Examples of prompt sentences include "I would like to design a system that generates a VR tour of a natural park that the user is interested in and displays promotional information on related outdoor supplies."

[0311] The flow of the specific process in Application Example 1 will be described using FIG. 12.

[0312] Step 1:

[0313] The server collects the user's past behavior history and preference data from the terminal. The input is the user's behavior data and the questionnaire answers regarding hobbies, and as output, these data are stored in the server's database. The data is made consistent and organized to build a foundation for efficient analysis.

[0314] Step 2:

[0315] The server inputs the collected data into a generating AI model to create a travel plan tailored to the user. The input here consists of historical behavioral and preference data stored on the server, and the output is a user-specific travel plan. In this process, the AI ​​model analyzes patterns to identify recommended destinations and activities.

[0316] Step 3:

[0317] The server generates three-dimensional visual information of the destination based on the generated travel plan. The input is travel destination information suggested by an AI model, and the output is visual content created using 3D modeling software. Unreal Engine or Unity is used to recreate the scenery and facilities of the travel destination in a virtual environment.

[0318] Step 4:

[0319] Users view three-dimensional visual information generated using their device and engage in virtual reality and augmented reality experiences. The device receives 3D visual information provided by the server and outputs it as video. Users can operate and explore virtual travel destinations using the touchscreen and sensors on their device.

[0320] Step 5:

[0321] The server manages commercial information related to travel plans and displays relevant advertisements on the user's device. The input is a database of commercial information related to the travel plan, and the output is data for displaying the most relevant advertisements to the user. It uses the Google AdSense API to push appropriate advertisements to the user's device.

[0322] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0323] This invention further enhances the provision of personalized travel suggestions and experiences by incorporating an emotion engine that recognizes user emotions. The following describes specific embodiments for carrying out this invention.

[0324] System configuration and operating principle

[0325] The system consists of a server, a terminal, and user interaction. The server provides basic functionality by ingesting the user's travel history, hobbies, and preferences data, and generating personalized travel plans using a generative AI model. Furthermore, an emotion engine is added to collect and analyze emotional data expressed by the user while using the terminal in real time. This emotional data is estimated from the user's voice tone, facial expression analysis, and input patterns.

[0326] For example, if user A expresses excitement or anticipation when receiving a suggestion for an overseas trip, the server can use that emotional information to add more interesting options or activities. Conversely, if the server detects signals of stress or anxiety, it will present a plan tailored to alleviate the user's anxiety, including relaxing travel information and reassuring elements.

[0327] Optimization of virtual reality and augmented reality experiences

[0328] Virtual reality (VR) and augmented reality (AR) content is dynamically adjusted based on the user's emotional state. The device utilizes feedback from the emotion engine when providing the user with 3D guided content received from the server. For example, if user B indicates fatigue, the device suggests a VR tour of a quiet natural environment, providing an immersive experience that takes the user's state into account.

[0329] Personalized information delivery and advertising

[0330] Premium members receive personalized information from a dedicated guide based on their emotions. The server uses data from the emotion engine to understand the user's needs in more detail and provides specific travel guidance and suggestions accordingly.

[0331] Furthermore, in the advertising management system, data from the emotion engine is utilized to select and display advertisements that are relevant to the user's emotions. For example, if a user is showing positive emotions, advertisements that encourage new experiences can be provided. In this way, the present invention comprehensively utilizes emotion data to realize a deeper level of personalized service for users.

[0332] The following describes the processing flow.

[0333] Step 1:

[0334] When a user logs into the system, the server collects and analyzes the user's past travel history, hobbies, and preferences from the database. This prepares the server for creating a travel plan based on the user's preferences.

[0335] Step 2:

[0336] The device collects the user's voice tone and facial expression data in real time using an emotion engine and analyzes their emotional state. This allows the system to understand what emotions the user is feeling about the content they are viewing.

[0337] Step 3:

[0338] Based on analyzed emotional data and past preference data, the server utilizes a generative AI model to customize the optimal travel plan for the user. For example, if positive emotions are detected, it proactively suggests new experiences and activities.

[0339] Step 4:

[0340] The server generates three-dimensional guide information tailored to the user's emotions and sends it to the terminal as virtual reality and augmented reality content. Through this, the user can have a virtual experience of their travel destination.

[0341] Step 5:

[0342] The device visualizes the VR / AR content sent to the user and optimizes the displayed content based on feedback from the emotion engine. For example, if the user is in an emotional state where relaxation is needed, it will display content that emphasizes cancellation facilities or the tranquility of nature.

[0343] Step 6:

[0344] If the user is a premium member, a dedicated guide will provide additional customized information via the server, taking into account emotional data. This helps create a detailed travel plan that meets the user's needs.

[0345] Step 7:

[0346] The server considers sentiment data and other relevant information to selectively display advertising information from partner businesses according to the user's sentiment. This allows users to obtain useful travel-related information.

[0347] Through these steps, the system can provide users with highly personalized travel plans and experiences.

[0348] (Example 2)

[0349] Next, we will describe Example 2. 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".

[0350] Traditional travel suggestion systems, while offering suggestions based on users' past behavior and interests, failed to consider real-time changes in emotional states, making it difficult to provide services tailored to the specific needs of individual users. This resulted in insufficient personalization of the user experience and potentially lowered service satisfaction.

[0351] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0352] In this invention, the server includes means for collecting and analyzing user emotional data in real time, means for dynamically adjusting the suggested content based on the collected emotional data, and a display device for visualizing information provided via a generation device and a virtual environment and an extended environment experience device. This makes it possible to provide more personalized travel suggestions and experiences based on the user's real-time emotional changes.

[0353] "Users" refer to individuals who receive travel suggestions and experiences through the system.

[0354] "Activity history" refers to records of past travels taken by users and their operation history within the system.

[0355] "Interest data" refers to information about users' hobbies and preferences, which forms the basis for providing personalized suggestions.

[0356] A "generator" refers to equipment or software used to analyze a user's behavioral history and interest data to create personalized recommendations.

[0357] "Three-dimensional guide information" refers to three-dimensional visual guides and navigation information about a travel destination.

[0358] A "virtual environment" refers to a digital experience space created by a computer.

[0359] An "augmented environment" refers to an experiential space where digital information is overlaid onto real-world scenery.

[0360] A "display device" refers to a device used to visually present generated information or suggestions to users.

[0361] "Emotional data" refers to data that represents the user's current emotional state, and is inferred from factors such as voice, facial expressions, and input patterns.

[0362] "Means of dynamic adjustment" refers to functions that modify and optimize the proposed content on the spot based on real-time data changes.

[0363] This invention is a system that provides personalized travel suggestions utilizing user emotional data. Specific embodiments of the system are described below.

[0364] The server uses aggregated user behavior history and interest data to generate suggestions using a generative AI model. This makes it possible to create travel plans tailored to individual users. The server analyzes this data using high-performance database software and an AI framework.

[0365] The device collects user emotional data in real time. Equipped with a microphone and camera, it infers the user's current emotional state through voice tone analysis and facial expression analysis. This allows the device to provide information that best suits the user's emotions.

[0366] Users receive travel plans and guide information through their devices. The devices use display devices to provide or simulate experiences in virtual and augmented environments. This allows users to have an immersive experience as if they were actually there, even before visiting the location.

[0367] For example, if a user accesses the device with the goal of "finding a place to relax," and the device detects from emotional data that the user is fatigued, it will suggest a VR experience of a quiet nature or resort. If the user confirms this relaxing experience and prompts "tell me why this is recommended," the server will use an AI model to respond, "Considering your level of fatigue, we have selected an experience that is highly relaxing."

[0368] In this embodiment, the system can provide dynamic suggestions and experiences based on the user's emotions, thereby improving user satisfaction.

[0369] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0370] Step 1:

[0371] The server collects user behavior history and interest data. This data includes the user's past travels and system preferences. The server efficiently retrieves and aggregates this information using high-speed database queries. The input is the user's identification information, and the output is the collected behavior history data and interest data. Specifically, the server extracts data from the database based on the user ID.

[0372] Step 2:

[0373] The device collects real-time emotional data from the user. A microphone and camera analyze voice tone and facial expressions to infer the user's emotional state. Input is the user's voice and video data, and output is the analyzed emotional data. Based on this emotional data, the device identifies the emotions the user is currently experiencing (e.g., excitement, relief, fatigue). Specifically, a voice analysis algorithm analyzes the pitch and tempo of the sound, and facial expression analysis is performed using video from the camera.

[0374] Step 3:

[0375] The server integrates collected emotional data and behavioral history data and uses a generative AI model to create a personalized travel plan. In this process, the input is the output data from steps 1 and 2, and the output is a travel plan optimized for the user. In a specific example, the AI ​​model analyzes the received data and suggests travel destinations and activities that match the user's current needs. For instance, if the generative AI model determines from the emotional data that the user needs "relaxation," it will select a tranquil travel destination.

[0376] Step 4:

[0377] The user is presented with a travel plan via their device and provides feedback using prompts. The input is travel plan data from the server, and the output is the user's feedback. Specifically, this involves the user reviewing the details of the presented plan and entering prompts such as "Tell me why you chose this plan."

[0378] Step 5:

[0379] The server receives feedback from the user and dynamically adjusts the travel plan as needed. The input is user feedback, and the output is the readjusted travel plan. Based on user feedback, the server updates what it should provide, achieving more accurate customization. Specifically, this involves a process in which the generating AI model performs new data analysis in response to prompts and modifies the suggested content.

[0380] Step 6:

[0381] The device provides the user with an optimized travel experience, both visually and virtually. The input is a retuned travel plan from a server, and the output is VR or AR content received by the user. Specific operations include the device providing the user with an immersive experience through VR goggles or AR devices.

[0382] Through this series of steps, the system can provide a travel experience tailored to individual users, thereby improving their satisfaction.

[0383] (Application Example 2)

[0384] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0385] Traditional travel suggestion systems could provide suggestions based on users' past activity history and interests, but they struggled to personalize suggestions in real time, taking into account the user's emotional state. As a result, they were unable to provide optimal suggestions tailored to the user's current emotions, leading to a tendency for travel experiences to be uniform. Furthermore, personalization based on user emotions was insufficient even in advertising and content suggestions.

[0386] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0387] In this invention, the server includes a generation means for collecting and analyzing the user's past activity history and hobby preference data to generate personalized suggestions; an emotion analysis means for estimating the user's emotional state and dynamically adjusting the suggestions based on the emotion data; and a visual experience means for generating three-dimensional guide information for destinations. This enables a high level of personalization based on the user's current emotions, improving the quality of travel suggestions and advertisement displays.

[0388] "Generation means" refers to a device or process that has the function of analyzing a user's past activity history and hobby preference data to generate suggestions tailored to each individual user.

[0389] "Emotional analysis means" refers to a device or process that has the function of estimating the user's emotional state in real time from the user's voice, facial expressions, etc., and dynamically adjusting the suggested content based on that data.

[0390] A "visual experience means" is a device or process that utilizes virtual reality or augmented reality technologies to generate three-dimensional guide information for a destination and present it visually to the user.

[0391] "Display means" refers to an apparatus or process for visualizing and providing to a user information provided by a generating means and a visual experience means via a terminal accessible to the user.

[0392] "Advertising management means" refers to a device or process that manages advertising information from external partner companies and has the function of presenting advertisements appropriately based on the user's emotions.

[0393] The system implementing this invention consists of a server, a terminal, and user interaction. The server first collects the user's past activity history and hobby preference data, analyzes this data, and includes a generation means for providing travel suggestions tailored to each individual user. This generation means plays the role of generating optimal suggestions based on the user's data.

[0394] Next, the server uses sentiment analysis tools to estimate the user's emotional state in real time from facial and voice data collected while the user is using the device. This makes it possible to dynamically adjust the suggested content based on the user's current emotions. For this part, sentiment analysis software such as Microsoft Azure Face API or Google Cloud Speech-to-Text API is used.

[0395] The terminal visually presents three-dimensional guide information transmitted from the server to the user, providing a virtual reality or augmented reality experience. This visual experience makes it possible to give the user a sense of presence as if they were actually there. Furthermore, the terminal visualizes the suggested content and visual experience generated using a display device, making it easily accessible to the user.

[0396] Furthermore, the advertising management system allows advertising information provided by external partners to be managed by a server, ensuring that advertisements are appropriately displayed according to the user's emotional state. This enables personalized marketing and provides users with the most relevant information.

[0397] As a concrete example, if a user is experiencing stress on their device, the server suggests video content of natural scenery that is expected to have a relaxing effect. To make such suggestions, a generative AI model is used, and a prompt message such as "Generate a relaxing video based on a natural environment" is employed. In this way, the present invention realizes a richer user experience by providing personalized information and experiences according to the user's emotional state and preferences.

[0398] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0399] Step 1:

[0400] When a user begins using the device, it retrieves the user's past activity history and hobbies / interests from a cloud-based database. This data is sent to a server, where it is used as input for analysis. The output consists of basic suggestions tailored to each user.

[0401] Step 2:

[0402] The server applies a generative AI model to generate optimal suggestions for each user based on the data acquired in Step 1. The input data consists of past activity history and hobby preference data, and the output is a basic travel plan tailored to the user's preferences. The prompt message "Generate an optimal travel plan based on the user's past data" is used during this process.

[0403] Step 3:

[0404] The device is equipped with a camera and microphone, which collect the user's facial expressions and voice in real time. This data is sent to a server and used as input for sentiment analysis. The output is analyzed as the user's emotional state.

[0405] Step 4:

[0406] The server's emotion analysis mechanism uses emotion analysis software to estimate the user's emotions from the data collected in step 3. The inputs are facial recognition data and voice tone analysis data, and the output is emotional information (e.g., joy, surprise, thrill). Based on this output, the suggested content is dynamically updated.

[0407] Step 5:

[0408] The updated suggestions are adjusted to include 3D guide information generated on the server and then sent to the terminal. The input is the user's emotional information and basic travel plan data, and the output is 3D guide information adjusted according to the emotional state.

[0409] Step 6:

[0410] The terminal provides the user with a virtual reality or augmented reality experience based on the information it receives. Through this, the user can experience a visual preview of a travel plan, which is presented using a device such as a headset. The input is three-dimensional guide information, and the output is the visual experience presented to the user.

[0411] Step 7:

[0412] The server uses an advertising management system to manage advertisements from external partners and dynamically selects relevant advertisements based on the user's emotional state and suggested content. The input is emotional information and updated suggested content, and the output is the advertisement information presented to the user.

[0413] 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0414] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0415] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0416] [Third Embodiment]

[0417] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0418] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0419] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0420] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0421] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0422] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0423] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0424] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0425] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[0426] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0427] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0428] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0429] This invention provides a highly accurate travel plan by individually personalizing a travel planning system based on the user's preferences. The program's processing is described below in natural language.

[0430] System configuration and operating principle

[0431] The system is primarily built around servers, terminals, and user operations. The servers store data on users' past travel history and hobbies, and use this information to generate personalized travel plans using a generative AI model.

[0432] For example, if user A is interested in outdoor activities, the server may analyze information about nature parks and hiking trails they have visited in the past and suggest new mountain resorts they should visit. This personalized plan is based on the user's current preferences and past activity history.

[0433] VR / AR guide provision

[0434] The server generates guide videos that can be experienced in virtual reality (VR) or augmented reality (AR) based on a 3D model of the selected travel destination and data on tourist attractions. These videos are sent to the user's device, allowing the user to virtually experience the atmosphere of the destination before traveling. For example, if user B chooses a seaside resort, they can experience a virtual tour of the beach and major accommodations, which helps them to make more concrete travel plans.

[0435] Customization services and advertising management

[0436] Premium users can receive more detailed, customized plans through a dedicated concierge service provided by the server. The server adjusts travel details based on individual questions and requests, providing the most suitable information and support for the user's needs. Throughout this process, the device provides visual information, making it easy for the user to review the content.

[0437] Furthermore, the server uses advertising management mechanisms to display advertising information provided by partner businesses to users. This allows users to obtain useful travel-related services and promotional information, and advertising revenue also supports the sustainable operation of the system.

[0438] In this way, the present invention makes it possible to provide users with a comprehensive and highly satisfying travel planning experience.

[0439] The following describes the processing flow.

[0440] Step 1:

[0441] When a user logs into the system, the server collects the user's past travel history, hobbies, and preferences from the database. This includes places previously visited, registered preferences, or travel conditions set by the user.

[0442] Step 2:

[0443] The server inputs the collected data into a generating AI model for analysis. This generates multiple options to suggest travel plans that best suit the user's preferences. At this stage, the analysis focuses on identifying tourist destinations and activities that match the user's preferences.

[0444] Step 3:

[0445] From the generated travel plans, the server selects the most suitable plan and creates a 3D guide video using virtual reality and augmented reality technologies. The server generates a 3D model of the travel destination and related information as VR / AR content and prepares to send it to the user's device.

[0446] Step 4:

[0447] The server transmits a 3D guide video to the device, and the user visually experiences this content through the device. Users can virtually visit tourist spots and accommodations at their planned travel destination, making it easier to plan their trip in detail.

[0448] Step 5:

[0449] Premium members can consult with a dedicated concierge via their device to create a customized travel plan. The server provides additional information and advice based on the user's requests, supporting a smoother travel experience.

[0450] Step 6:

[0451] The server properly manages advertising information provided by partner companies and delivers it to users through their devices. This allows users to obtain information about products and services that are useful for travel preparations and while at their destination.

[0452] This series of processing steps enables the system to provide users with personalized travel plans and realistic experience information.

[0453] (Example 1)

[0454] Next, we will describe Example 1. 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."

[0455] In travel planning, it has traditionally been difficult to provide highly personalized suggestions based on users' individual preferences and past experiences. Furthermore, there was a lack of intuitive and immersive informational tools to allow users to experience their destinations in advance. In addition, the lack of a process for appropriately presenting useful advertising information to users and incorporating user feedback to make improvements was a problem.

[0456] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0457] In this invention, the server includes a generation device that collects and analyzes the user's past history and preference data to generate suggestion information tailored to each individual user; a virtual and augmented space experience device that generates and presents 3D guide information of the destination based on the suggestion information; a display device that visualizes the information provided via electronic devices; and a device that collects evaluations from the user and analyzes feedback information to reflect in future suggestions. As a result, users can obtain highly personalized travel plans and virtually experience destinations in advance, and further optimize the suggestion content by continuously incorporating user feedback.

[0458] A "user" refers to an individual who utilizes a specific service or function, and whose behavioral history and preferences are processed within the system.

[0459] "History" refers to information related to a user's past actions and choices, including places visited and activities participated in.

[0460] "Preference data" refers to information about a user's preferences, specifically data about their favorite activities and areas of interest.

[0461] A "generation device" refers to a computer program or hardware that creates user-optimized suggestion information based on collected data.

[0462] "3D guide information" refers to visual information provided to allow users to experience their destination in three dimensions, and specifically includes 3D models and virtual tours.

[0463] "Virtual space and augmented space experience devices" refer to technological devices that allow users to experience the real environment and virtually augmented information in an integrated manner, utilizing VR (virtual reality) and AR (augmented reality) technologies.

[0464] "Electronic devices" refer to devices used by users to receive and manipulate information, and include mobile phones, tablets, and computers.

[0465] A "visualizing display device" is a device that has the function of visually conveying generated information, and the information is displayed through a screen or projector.

[0466] "Feedback information" refers to information about reactions and evaluations provided by users to the system, and is used for system improvement.

[0467] This invention is a system that highly personalizes a user's travel plan. To achieve this, the program is designed and executed based on the following configuration.

[0468] First, the server collects data on the user's travel history and preferences from their device. This data includes information about regions they have visited in the past and activities they are interested in. The server uses a generative AI model to analyze this data. This model can process large amounts of data quickly and recognize the user's preference patterns. Based on the analysis results, the server generates a travel plan optimized for the user. This may include specific suggestions such as, "We recommend you visit a new mountain resort."

[0469] Next, the server prepares 3D guide information for the selected travel destination. This guide information is provided to the user using virtual reality (VR) or augmented reality (AR) technologies. For example, the device uses a VR or AR platform to display a 3D model of the selected tourist destination, giving the user a virtual tour experience beforehand. The device then displays visual information that helps the user experience the atmosphere of the destination in advance and plan a concrete trip.

[0470] Furthermore, the server collects and analyzes user feedback. Users input their evaluations and opinions on the provided travel plans and virtual experiences through their devices. This feedback is reflected in future travel plan generation processes and serves as a factor in the continuous improvement of the system.

[0471] For example, if user A enters the prompt "Suggest travel destinations for users interested in outdoor activities," the server will suggest mountain resorts based on past data. This allows users to quickly receive travel plans that match their interests.

[0472] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0473] Step 1:

[0474] The server collects data on travel history and preferences from the user's device. Inputs include the user's visit history, activities of interest, and past ratings. The server then performs the specific action of saving this data to a database for analysis. The output is an updated user profile generated within the server.

[0475] Step 2:

[0476] The server analyzes the collected data. Here, a generative AI model is used, taking user profiles as input to perform data calculations to identify user preference patterns. The output is a list of recommended travel destinations based on the user's interests. Specifically, the model extracts preference patterns and identifies recommended locations.

[0477] Step 3:

[0478] The server generates 3D guide information based on recommended travel destinations. In this process, the analysis results are used as input to generate a three-dimensional model of the corresponding destination using a 3D modeling tool. The output is virtual reality (VR) or augmented reality (AR) content that the user can experience. Specifically, the server collects 3D data of the destination and formats it as guide information.

[0479] Step 4:

[0480] The terminal presents the user with 3D guide information received from the server. The input is virtual travel content generated by the server. This content is displayed using visualization software, allowing the user to experience the destination in advance. The output is a VR / AR experience that the user can interact with on the terminal. Specifically, the terminal takes in guide information and provides the user with a visual virtual tour.

[0481] Step 5:

[0482] Users provide feedback on the virtual experience and suggested travel plan. Input consists of ratings and comments entered by the user via their device. Output is the server receiving user feedback data and saving it for future plan generation. Specifically, the user enters a rating, and the device sends it to the server.

[0483] (Application Example 1)

[0484] Next, we will explain Application Example 1. In the following explanation, 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."

[0485] In modern travel planning, there are few systems that fully utilize users' individual preferences and travel history to provide an immersive experience with a dedicated guide. Therefore, there is a need to efficiently generate personalized plans and integrate them with visual experiences and useful information.

[0486] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0487] In this invention, the server includes: generation means for collecting the user's past behavioral history and preference data and analyzing the data to generate a plan tailored to the individual user; virtual reality and augmented reality experience means for generating three-dimensional visual information of the destination based on the plan and presenting the information to the user; video presentation means for visualizing the information provided by the generation means and the virtual reality and augmented reality experience means via a communication device operable by the user; and advertising presentation means for displaying commercial information related to the proposed plan. This allows the user to experience a personalized travel plan based on their preferences in advance and obtain useful information.

[0488] "User" refers to individual consumers or users who utilize the system.

[0489] "Past activity history" refers to a record of the user's past activities and usage information.

[0490] "Preference data" refers to a collection of information that indicates a user's interests and preferences.

[0491] "Generation method" refers to a mechanism for constructing specific information or content based on collected data.

[0492] "Plan details" refers to the charts, schedules, and information and instructions regarding destinations that are proposed to the user.

[0493] "Three-dimensional visual information" refers to visual information represented by three-dimensional images or models.

[0494] "Virtual reality and augmented reality experience means" refers to means of presenting information visually and experientially using virtual reality (VR) and augmented reality (AR) technologies.

[0495] "Communication device" refers to a device used by a user to receive information via a network, and generally includes smartphones and tablets.

[0496] "Visual presentation means" refers to devices such as displays and screens, and their control means, used to provide visual information to users.

[0497] "Commercial information" refers to information related to promotions and advertisements concerning products and services.

[0498] "Advertising presentation means" refers to mechanisms and systems for appropriately displaying commercial information to users.

[0499] The system to realize this application example will be implemented with the following configuration.

[0500] First, the server collects and stores the user's past behavioral history and preference data. This information is efficiently managed using a database management system (e.g., MySQL, PostgreSQL). The collected data is then processed using generative AI models (e.g., TensorFlow, PyTorch) as foundational data for generating travel plans tailored to the user.

[0501] Next, the AI ​​model, acting as a generation tool, constructs a plan tailored to the user's individual preferences based on the analyzed data. This plan includes potential destinations and recommended activities, providing the user with personalized suggestions.

[0502] Based on this proposal, the server constructs three-dimensional visual information of the destination. 3D modeling / rendering software such as Unreal Engine or Unity is used to generate materials for virtual reality (VR) and augmented reality (AR) experiences. This allows users to virtually visit key locations and accommodations at their travel destination.

[0503] Users experience the generated plan content and three-dimensional visual information using communication devices such as smartphones and tablets. This information is visualized through video presentation means via an application, providing users with an interactive experience.

[0504] Furthermore, the server manages commercial information related to the plan and displays generated advertisements on the user's device. An advertising management platform (e.g., Google AdSense API) is used to manage advertising information and present relevant information at the appropriate time.

[0505] For example, if an outdoor enthusiast is planning a mountain climbing trip, this system can suggest new spots based on previously visited mountain areas and provide a virtual tour of those mountains. Through this experience, users can create more specific and personalized travel plans.

[0506] An example of a prompt might be: "Design a system that generates VR tours of nature parks of interest to the user and displays promotional information for related outdoor equipment."

[0507] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0508] Step 1:

[0509] The server collects users' past behavioral history and preference data from their devices. Inputs include user behavioral data and questionnaire responses regarding their hobbies; output is the storage of this data in the server's database. The server then ensures data integrity and organization, building a foundation for efficient analysis.

[0510] Step 2:

[0511] The server inputs the collected data into a generating AI model to create a travel plan tailored to the user. The input here consists of historical behavioral and preference data stored on the server, and the output is a user-specific travel plan. In this process, the AI ​​model analyzes patterns to identify recommended destinations and activities.

[0512] Step 3:

[0513] The server generates three-dimensional visual information of the destination based on the generated travel plan. The input is travel destination information suggested by an AI model, and the output is visual content created using 3D modeling software. Unreal Engine or Unity is used to recreate the scenery and facilities of the travel destination in a virtual environment.

[0514] Step 4:

[0515] Users view three-dimensional visual information generated using their device and engage in virtual reality and augmented reality experiences. The device receives 3D visual information provided by the server and outputs it as video. Users can operate and explore virtual travel destinations using the touchscreen and sensors on their device.

[0516] Step 5:

[0517] The server manages commercial information related to travel plans and displays relevant advertisements on the user's device. The input is a database of commercial information related to the travel plan, and the output is data for displaying the most relevant advertisements to the user. It uses the Google AdSense API to push appropriate advertisements to the user's device.

[0518] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0519] This invention further enhances the provision of personalized travel suggestions and experiences by incorporating an emotion engine that recognizes user emotions. The following describes specific embodiments for carrying out this invention.

[0520] System configuration and operating principle

[0521] The system consists of a server, a terminal, and user interaction. The server provides basic functionality by ingesting the user's travel history, hobbies, and preferences data, and generating personalized travel plans using a generative AI model. Furthermore, an emotion engine is added to collect and analyze emotional data expressed by the user while using the terminal in real time. This emotional data is estimated from the user's voice tone, facial expression analysis, and input patterns.

[0522] For example, if user A expresses excitement or anticipation when receiving a suggestion for an overseas trip, the server can use that emotional information to add more interesting options or activities. Conversely, if the server detects signals of stress or anxiety, it will present a plan tailored to alleviate the user's anxiety, including relaxing travel information and reassuring elements.

[0523] Optimization of virtual reality and augmented reality experiences

[0524] Virtual reality (VR) and augmented reality (AR) content is dynamically adjusted based on the user's emotional state. The device utilizes feedback from the emotion engine when providing the user with 3D guided content received from the server. For example, if user B indicates fatigue, the device suggests a VR tour of a quiet natural environment, providing an immersive experience that takes the user's state into account.

[0525] Personalized information delivery and advertising

[0526] Premium members receive personalized information from a dedicated guide based on their emotions. The server uses data from the emotion engine to understand the user's needs in more detail and provides specific travel guidance and suggestions accordingly.

[0527] Furthermore, in the advertising management system, data from the emotion engine is utilized to select and display advertisements that are relevant to the user's emotions. For example, if a user is showing positive emotions, advertisements that encourage new experiences can be provided. In this way, the present invention comprehensively utilizes emotion data to realize a deeper level of personalized service for users.

[0528] The following describes the processing flow.

[0529] Step 1:

[0530] When a user logs into the system, the server collects and analyzes the user's past travel history, hobbies, and preferences from the database. This prepares the server for creating a travel plan based on the user's preferences.

[0531] Step 2:

[0532] The device collects the user's voice tone and facial expression data in real time using an emotion engine and analyzes their emotional state. This allows the system to understand what emotions the user is feeling about the content they are viewing.

[0533] Step 3:

[0534] Based on analyzed emotional data and past preference data, the server utilizes a generative AI model to customize the optimal travel plan for the user. For example, if positive emotions are detected, it proactively suggests new experiences and activities.

[0535] Step 4:

[0536] The server generates three-dimensional guide information tailored to the user's emotions and sends it to the terminal as virtual reality and augmented reality content. Through this, the user can have a virtual experience of their travel destination.

[0537] Step 5:

[0538] The device visualizes the VR / AR content sent to the user and optimizes the displayed content based on feedback from the emotion engine. For example, if the user is in an emotional state where relaxation is needed, it will display content that emphasizes cancellation facilities or the tranquility of nature.

[0539] Step 6:

[0540] If the user is a premium member, a dedicated guide will provide additional customized information via the server, taking into account emotional data. This helps create a detailed travel plan that meets the user's needs.

[0541] Step 7:

[0542] The server considers sentiment data and other relevant information to selectively display advertising information from partner businesses according to the user's sentiment. This allows users to obtain useful travel-related information.

[0543] Through these steps, the system can provide users with highly personalized travel plans and experiences.

[0544] (Example 2)

[0545] Next, we will describe Example 2. 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."

[0546] Traditional travel suggestion systems, while offering suggestions based on users' past behavior and interests, failed to consider real-time changes in emotional states, making it difficult to provide services tailored to the specific needs of individual users. This resulted in insufficient personalization of the user experience and potentially lowered service satisfaction.

[0547] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0548] In this invention, the server includes means for collecting and analyzing user emotional data in real time, means for dynamically adjusting the suggested content based on the collected emotional data, and a display device for visualizing information provided via a generation device and a virtual environment and an extended environment experience device. This makes it possible to provide more personalized travel suggestions and experiences based on the user's real-time emotional changes.

[0549] "Users" refer to individuals who receive travel suggestions and experiences through the system.

[0550] "Activity history" refers to records of past travels taken by users and their operation history within the system.

[0551] "Interest data" refers to information about users' hobbies and preferences, which forms the basis for providing personalized suggestions.

[0552] A "generator" refers to equipment or software used to analyze a user's behavioral history and interest data to create personalized recommendations.

[0553] "Three-dimensional guide information" refers to three-dimensional visual guides and navigation information about a travel destination.

[0554] A "virtual environment" refers to a digital experience space created by a computer.

[0555] An "augmented environment" refers to an experiential space where digital information is overlaid onto real-world scenery.

[0556] A "display device" refers to a device used to visually present generated information or suggestions to users.

[0557] "Emotional data" refers to data that represents the user's current emotional state, and is inferred from factors such as voice, facial expressions, and input patterns.

[0558] "Means of dynamic adjustment" refers to functions that modify and optimize the proposed content on the spot based on real-time data changes.

[0559] This invention is a system that provides personalized travel suggestions utilizing user emotional data. Specific embodiments of the system are described below.

[0560] The server uses aggregated user behavior history and interest data to generate suggestions using a generative AI model. This makes it possible to create travel plans tailored to individual users. The server analyzes this data using high-performance database software and an AI framework.

[0561] The device collects user emotional data in real time. Equipped with a microphone and camera, it infers the user's current emotional state through voice tone analysis and facial expression analysis. This allows the device to provide information that best suits the user's emotions.

[0562] Users receive travel plans and guide information through their devices. The devices use display devices to provide or simulate experiences in virtual and augmented environments. This allows users to have an immersive experience as if they were actually there, even before visiting the location.

[0563] For example, if a user accesses the device with the goal of "finding a place to relax," and the device detects from emotional data that the user is fatigued, it will suggest a VR experience of a quiet nature or resort. If the user confirms this relaxing experience and prompts "tell me why this is recommended," the server will use an AI model to respond, "Considering your level of fatigue, we have selected an experience that is highly relaxing."

[0564] In this embodiment, the system can provide dynamic suggestions and experiences based on the user's emotions, thereby improving user satisfaction.

[0565] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0566] Step 1:

[0567] The server collects user behavior history and interest data. This data includes the user's past travels and system preferences. The server efficiently retrieves and aggregates this information using high-speed database queries. The input is the user's identification information, and the output is the collected behavior history data and interest data. Specifically, the server extracts data from the database based on the user ID.

[0568] Step 2:

[0569] The device collects real-time emotional data from the user. A microphone and camera analyze voice tone and facial expressions to infer the user's emotional state. Input is the user's voice and video data, and output is the analyzed emotional data. Based on this emotional data, the device identifies the emotions the user is currently experiencing (e.g., excitement, relief, fatigue). Specifically, a voice analysis algorithm analyzes the pitch and tempo of the sound, and facial expression analysis is performed using video from the camera.

[0570] Step 3:

[0571] The server integrates collected emotional data and behavioral history data and uses a generative AI model to create a personalized travel plan. In this process, the input is the output data from steps 1 and 2, and the output is a travel plan optimized for the user. In a specific example, the AI ​​model analyzes the received data and suggests travel destinations and activities that match the user's current needs. For instance, if the generative AI model determines from the emotional data that the user needs "relaxation," it will select a tranquil travel destination.

[0572] Step 4:

[0573] The user is presented with a travel plan via their device and provides feedback using prompts. The input is travel plan data from the server, and the output is the user's feedback. Specifically, this involves the user reviewing the details of the presented plan and entering prompts such as "Tell me why you chose this plan."

[0574] Step 5:

[0575] The server receives feedback from the user and dynamically adjusts the travel plan as needed. The input is user feedback, and the output is the readjusted travel plan. Based on user feedback, the server updates what it should provide, achieving more accurate customization. Specifically, this involves a process in which the generating AI model performs new data analysis in response to prompts and modifies the suggested content.

[0576] Step 6:

[0577] The device provides the user with an optimized travel experience, both visually and virtually. The input is a retuned travel plan from a server, and the output is VR or AR content received by the user. Specific operations include the device providing the user with an immersive experience through VR goggles or AR devices.

[0578] Through this series of steps, the system can provide a travel experience tailored to individual users, thereby improving their satisfaction.

[0579] (Application Example 2)

[0580] Next, we will explain application example 2. In the following explanation, 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."

[0581] Traditional travel suggestion systems could provide suggestions based on users' past activity history and interests, but they struggled to personalize suggestions in real time, taking into account the user's emotional state. As a result, they were unable to provide optimal suggestions tailored to the user's current emotions, leading to a tendency for travel experiences to be uniform. Furthermore, personalization based on user emotions was insufficient even in advertising and content suggestions.

[0582] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0583] In this invention, the server includes a generation means for collecting and analyzing the user's past activity history and hobby preference data to generate personalized suggestions; an emotion analysis means for estimating the user's emotional state and dynamically adjusting the suggestions based on the emotion data; and a visual experience means for generating three-dimensional guide information for destinations. This enables a high level of personalization based on the user's current emotions, improving the quality of travel suggestions and advertisement displays.

[0584] "Generation means" refers to a device or process that has the function of analyzing a user's past activity history and hobby preference data to generate suggestions tailored to each individual user.

[0585] "Emotional analysis means" refers to a device or process that has the function of estimating the user's emotional state in real time from the user's voice, facial expressions, etc., and dynamically adjusting the suggested content based on that data.

[0586] A "visual experience means" is a device or process that utilizes virtual reality or augmented reality technologies to generate three-dimensional guide information for a destination and present it visually to the user.

[0587] "Display means" refers to an apparatus or process for visualizing and providing to a user information provided by a generating means and a visual experience means via a terminal accessible to the user.

[0588] "Advertising management means" refers to a device or process that manages advertising information from external partner companies and has the function of presenting advertisements appropriately based on the user's emotions.

[0589] The system implementing this invention consists of a server, a terminal, and user interaction. The server first collects the user's past activity history and hobby preference data, analyzes this data, and includes a generation means for providing travel suggestions tailored to each individual user. This generation means plays the role of generating optimal suggestions based on the user's data.

[0590] Next, the server uses sentiment analysis tools to estimate the user's emotional state in real time from facial and voice data collected while the user is using the device. This makes it possible to dynamically adjust the suggested content based on the user's current emotions. For this part, sentiment analysis software such as Microsoft Azure Face API or Google Cloud Speech-to-Text API is used.

[0591] The terminal visually presents three-dimensional guide information transmitted from the server to the user, providing a virtual reality or augmented reality experience. This visual experience makes it possible to give the user a sense of presence as if they were actually there. Furthermore, the terminal visualizes the suggested content and visual experience generated using a display device, making it easily accessible to the user.

[0592] Furthermore, the advertising management system allows advertising information provided by external partners to be managed by a server, ensuring that advertisements are appropriately displayed according to the user's emotional state. This enables personalized marketing and provides users with the most relevant information.

[0593] As a concrete example, if a user is experiencing stress on their device, the server suggests video content of natural scenery that is expected to have a relaxing effect. To make such suggestions, a generative AI model is used, and a prompt message such as "Generate a relaxing video based on a natural environment" is employed. In this way, the present invention realizes a richer user experience by providing personalized information and experiences according to the user's emotional state and preferences.

[0594] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0595] Step 1:

[0596] When a user begins using the device, it retrieves the user's past activity history and hobbies / interests from a cloud-based database. This data is sent to a server, where it is used as input for analysis. The output consists of basic suggestions tailored to each user.

[0597] Step 2:

[0598] The server applies a generative AI model to generate optimal suggestions for each user based on the data acquired in Step 1. The input data consists of past activity history and hobby preference data, and the output is a basic travel plan tailored to the user's preferences. The prompt message "Generate an optimal travel plan based on the user's past data" is used during this process.

[0599] Step 3:

[0600] The device is equipped with a camera and microphone, which collect the user's facial expressions and voice in real time. This data is sent to a server and used as input for sentiment analysis. The output is analyzed as the user's emotional state.

[0601] Step 4:

[0602] The server's emotion analysis mechanism uses emotion analysis software to estimate the user's emotions from the data collected in step 3. The inputs are facial recognition data and voice tone analysis data, and the output is emotional information (e.g., joy, surprise, thrill). Based on this output, the suggested content is dynamically updated.

[0603] Step 5:

[0604] The updated suggestions are adjusted to include 3D guide information generated on the server and then sent to the terminal. The input is the user's emotional information and basic travel plan data, and the output is 3D guide information adjusted according to the emotional state.

[0605] Step 6:

[0606] The terminal provides the user with a virtual reality or augmented reality experience based on the information it receives. Through this, the user can experience a visual preview of a travel plan, which is presented using a device such as a headset. The input is three-dimensional guide information, and the output is the visual experience presented to the user.

[0607] Step 7:

[0608] The server uses an advertising management system to manage advertisements from external partners and dynamically selects relevant advertisements based on the user's emotional state and suggested content. The input is emotional information and updated suggested content, and the output is the advertisement information presented to the user.

[0609] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0610] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0611] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0612] [Fourth Embodiment]

[0613] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0614] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0615] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0616] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0617] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0618] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0619] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0620] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0621] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0622] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[0623] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0624] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0625] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0626] This invention provides a highly accurate travel plan by individually personalizing a travel planning system based on the user's preferences. The program's processing is described below in natural language.

[0627] System configuration and operating principle

[0628] The system is primarily built around servers, terminals, and user operations. The servers store data on users' past travel history and hobbies, and use this information to generate personalized travel plans using a generative AI model.

[0629] For example, if user A is interested in outdoor activities, the server may analyze information about nature parks and hiking trails they have visited in the past and suggest new mountain resorts they should visit. This personalized plan is based on the user's current preferences and past activity history.

[0630] VR / AR guide provision

[0631] The server generates guide videos that can be experienced in virtual reality (VR) or augmented reality (AR) based on a 3D model of the selected travel destination and data on tourist attractions. These videos are sent to the user's device, allowing the user to virtually experience the atmosphere of the destination before traveling. For example, if user B chooses a seaside resort, they can experience a virtual tour of the beach and major accommodations, which helps them to make more concrete travel plans.

[0632] Customization services and advertising management

[0633] Premium users can receive more detailed, customized plans through a dedicated concierge service provided by the server. The server adjusts travel details based on individual questions and requests, providing the most suitable information and support for the user's needs. Throughout this process, the device provides visual information, making it easy for the user to review the content.

[0634] Furthermore, the server uses advertising management mechanisms to display advertising information provided by partner businesses to users. This allows users to obtain useful travel-related services and promotional information, and advertising revenue also supports the sustainable operation of the system.

[0635] In this way, the present invention makes it possible to provide users with a comprehensive and highly satisfying travel planning experience.

[0636] The following describes the processing flow.

[0637] Step 1:

[0638] When a user logs into the system, the server collects the user's past travel history, hobbies, and preferences from the database. This includes places previously visited, registered preferences, or travel conditions set by the user.

[0639] Step 2:

[0640] The server inputs the collected data into a generating AI model for analysis. This generates multiple options to suggest travel plans that best suit the user's preferences. At this stage, the analysis focuses on identifying tourist destinations and activities that match the user's preferences.

[0641] Step 3:

[0642] From the generated travel plans, the server selects the most suitable plan and creates a 3D guide video using virtual reality and augmented reality technologies. The server generates a 3D model of the travel destination and related information as VR / AR content and prepares to send it to the user's device.

[0643] Step 4:

[0644] The server transmits a 3D guide video to the device, and the user visually experiences this content through the device. Users can virtually visit tourist spots and accommodations at their planned travel destination, making it easier to plan their trip in detail.

[0645] Step 5:

[0646] Premium members can consult with a dedicated concierge via their device to create a customized travel plan. The server provides additional information and advice based on the user's requests, supporting a smoother travel experience.

[0647] Step 6:

[0648] The server properly manages advertising information provided by partner companies and delivers it to users through their devices. This allows users to obtain information about products and services that are useful for travel preparations and while at their destination.

[0649] This series of processing steps enables the system to provide users with personalized travel plans and realistic experience information.

[0650] (Example 1)

[0651] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0652] In travel planning, it has traditionally been difficult to provide highly personalized suggestions based on users' individual preferences and past experiences. Furthermore, there was a lack of intuitive and immersive informational tools to allow users to experience their destinations in advance. In addition, the lack of a process for appropriately presenting useful advertising information to users and incorporating user feedback to make improvements was a problem.

[0653] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0654] In this invention, the server includes a generation device that collects and analyzes the user's past history and preference data to generate suggestion information tailored to each individual user; a virtual and augmented space experience device that generates and presents 3D guide information of the destination based on the suggestion information; a display device that visualizes the information provided via electronic devices; and a device that collects evaluations from the user and analyzes feedback information to reflect in future suggestions. As a result, users can obtain highly personalized travel plans and virtually experience destinations in advance, and further optimize the suggestion content by continuously incorporating user feedback.

[0655] A "user" refers to an individual who utilizes a specific service or function, and whose behavioral history and preferences are processed within the system.

[0656] "History" refers to information related to a user's past actions and choices, including places visited and activities participated in.

[0657] "Preference data" refers to information about a user's preferences, specifically data about their favorite activities and areas of interest.

[0658] A "generation device" refers to a computer program or hardware that creates user-optimized suggestion information based on collected data.

[0659] "3D guide information" refers to visual information provided to allow users to experience their destination in three dimensions, and specifically includes 3D models and virtual tours.

[0660] "Virtual space and augmented space experience devices" refer to technological devices that allow users to experience the real environment and virtually augmented information in an integrated manner, utilizing VR (virtual reality) and AR (augmented reality) technologies.

[0661] "Electronic devices" refer to devices used by users to receive and manipulate information, and include mobile phones, tablets, and computers.

[0662] A "visualizing display device" is a device that has the function of visually conveying generated information, and the information is displayed through a screen or projector.

[0663] "Feedback information" refers to information about reactions and evaluations provided by users to the system, and is used for system improvement.

[0664] This invention is a system that highly personalizes a user's travel plan. To achieve this, the program is designed and executed based on the following configuration.

[0665] First, the server collects data on the user's travel history and preferences from their device. This data includes information about regions they have visited in the past and activities they are interested in. The server uses a generative AI model to analyze this data. This model can process large amounts of data quickly and recognize the user's preference patterns. Based on the analysis results, the server generates a travel plan optimized for the user. This may include specific suggestions such as, "We recommend you visit a new mountain resort."

[0666] Next, the server prepares 3D guide information for the selected travel destination. This guide information is provided to the user using virtual reality (VR) or augmented reality (AR) technologies. For example, the device uses a VR or AR platform to display a 3D model of the selected tourist destination, giving the user a virtual tour experience beforehand. The device then displays visual information that helps the user experience the atmosphere of the destination in advance and plan a concrete trip.

[0667] Furthermore, the server collects and analyzes user feedback. Users input their evaluations and opinions on the provided travel plans and virtual experiences through their devices. This feedback is reflected in future travel plan generation processes and serves as a factor in the continuous improvement of the system.

[0668] For example, if user A enters the prompt "Suggest travel destinations for users interested in outdoor activities," the server will suggest mountain resorts based on past data. This allows users to quickly receive travel plans that match their interests.

[0669] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0670] Step 1:

[0671] The server collects data on travel history and preferences from the user's device. Inputs include the user's visit history, activities of interest, and past ratings. The server then performs the specific action of saving this data to a database for analysis. The output is an updated user profile generated within the server.

[0672] Step 2:

[0673] The server analyzes the collected data. Here, a generative AI model is used, taking user profiles as input to perform data calculations to identify user preference patterns. The output is a list of recommended travel destinations based on the user's interests. Specifically, the model extracts preference patterns and identifies recommended locations.

[0674] Step 3:

[0675] The server generates 3D guide information based on recommended travel destinations. In this process, the analysis results are used as input to generate a three-dimensional model of the corresponding destination using a 3D modeling tool. The output is virtual reality (VR) or augmented reality (AR) content that the user can experience. Specifically, the server collects 3D data of the destination and formats it as guide information.

[0676] Step 4:

[0677] The terminal presents the user with 3D guide information received from the server. The input is virtual travel content generated by the server. This content is displayed using visualization software, allowing the user to experience the destination in advance. The output is a VR / AR experience that the user can interact with on the terminal. Specifically, the terminal takes in guide information and provides the user with a visual virtual tour.

[0678] Step 5:

[0679] Users provide feedback on the virtual experience and suggested travel plan. Input consists of ratings and comments entered by the user via their device. Output is the server receiving user feedback data and saving it for future plan generation. Specifically, the user enters a rating, and the device sends it to the server.

[0680] (Application Example 1)

[0681] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0682] In modern travel planning, there are few systems that fully utilize users' individual preferences and travel history to provide an immersive experience with a dedicated guide. Therefore, there is a need to efficiently generate personalized plans and integrate them with visual experiences and useful information.

[0683] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0684] In this invention, the server includes: generation means for collecting the user's past behavioral history and preference data and analyzing the data to generate a plan tailored to the individual user; virtual reality and augmented reality experience means for generating three-dimensional visual information of the destination based on the plan and presenting the information to the user; video presentation means for visualizing the information provided by the generation means and the virtual reality and augmented reality experience means via a communication device operable by the user; and advertising presentation means for displaying commercial information related to the proposed plan. This allows the user to experience a personalized travel plan based on their preferences in advance and obtain useful information.

[0685] "User" refers to individual consumers or users who utilize the system.

[0686] "Past activity history" refers to a record of the user's past activities and usage information.

[0687] "Preference data" refers to a collection of information that indicates a user's interests and preferences.

[0688] "Generation method" refers to a mechanism for constructing specific information or content based on collected data.

[0689] "Plan details" refers to the charts, schedules, and information and instructions regarding destinations that are proposed to the user.

[0690] "Three-dimensional visual information" refers to visual information represented by three-dimensional images or models.

[0691] "Virtual reality and augmented reality experience means" refers to means of presenting information visually and experientially using virtual reality (VR) and augmented reality (AR) technologies.

[0692] "Communication device" refers to a device used by a user to receive information via a network, and generally includes smartphones and tablets.

[0693] "Visual presentation means" refers to devices such as displays and screens, and their control means, used to provide visual information to users.

[0694] "Commercial information" refers to information related to promotions and advertisements concerning products and services.

[0695] "Advertising presentation means" refers to mechanisms and systems for appropriately displaying commercial information to users.

[0696] The system to realize this application example will be implemented with the following configuration.

[0697] First, the server collects and stores the user's past behavioral history and preference data. This information is efficiently managed using a database management system (e.g., MySQL, PostgreSQL). The collected data is then processed using generative AI models (e.g., TensorFlow, PyTorch) as foundational data for generating travel plans tailored to the user.

[0698] Next, the AI ​​model, acting as a generation tool, constructs a plan tailored to the user's individual preferences based on the analyzed data. This plan includes potential destinations and recommended activities, providing the user with personalized suggestions.

[0699] Based on this proposal, the server constructs three-dimensional visual information of the destination. 3D modeling / rendering software such as Unreal Engine or Unity is used to generate materials for virtual reality (VR) and augmented reality (AR) experiences. This allows users to virtually visit key locations and accommodations at their travel destination.

[0700] Users experience the generated plan content and three-dimensional visual information using communication devices such as smartphones and tablets. This information is visualized through video presentation means via an application, providing users with an interactive experience.

[0701] Furthermore, the server manages commercial information related to the plan and displays generated advertisements on the user's device. An advertising management platform (e.g., Google AdSense API) is used to manage advertising information and present relevant information at the appropriate time.

[0702] For example, if an outdoor enthusiast is planning a mountain climbing trip, this system can suggest new spots based on previously visited mountain areas and provide a virtual tour of those mountains. Through this experience, users can create more specific and personalized travel plans.

[0703] An example of a prompt might be: "Design a system that generates VR tours of nature parks of interest to the user and displays promotional information for related outdoor equipment."

[0704] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0705] Step 1:

[0706] The server collects users' past behavioral history and preference data from their devices. Inputs include user behavioral data and questionnaire responses regarding their hobbies; output is the storage of this data in the server's database. The server then ensures data integrity and organization, building a foundation for efficient analysis.

[0707] Step 2:

[0708] The server inputs the collected data into a generating AI model to create a travel plan tailored to the user. The input here consists of historical behavioral and preference data stored on the server, and the output is a user-specific travel plan. In this process, the AI ​​model analyzes patterns to identify recommended destinations and activities.

[0709] Step 3:

[0710] The server generates three-dimensional visual information of the destination based on the generated travel plan. The input is travel destination information suggested by an AI model, and the output is visual content created using 3D modeling software. Unreal Engine or Unity is used to recreate the scenery and facilities of the travel destination in a virtual environment.

[0711] Step 4:

[0712] Users view three-dimensional visual information generated using their device and engage in virtual reality and augmented reality experiences. The device receives 3D visual information provided by the server and outputs it as video. Users can operate and explore virtual travel destinations using the touchscreen and sensors on their device.

[0713] Step 5:

[0714] The server manages commercial information related to travel plans and displays relevant advertisements on the user's device. The input is a database of commercial information related to the travel plan, and the output is data for displaying the most relevant advertisements to the user. It uses the Google AdSense API to push appropriate advertisements to the user's device.

[0715] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0716] This invention further enhances the provision of personalized travel suggestions and experiences by incorporating an emotion engine that recognizes user emotions. The following describes specific embodiments for carrying out this invention.

[0717] System configuration and operating principle

[0718] The system consists of a server, a terminal, and user interaction. The server provides basic functionality by ingesting the user's travel history, hobbies, and preferences data, and generating personalized travel plans using a generative AI model. Furthermore, an emotion engine is added to collect and analyze emotional data expressed by the user while using the terminal in real time. This emotional data is estimated from the user's voice tone, facial expression analysis, and input patterns.

[0719] For example, if user A expresses excitement or anticipation when receiving a suggestion for an overseas trip, the server can use that emotional information to add more interesting options or activities. Conversely, if the server detects signals of stress or anxiety, it will present a plan tailored to alleviate the user's anxiety, including relaxing travel information and reassuring elements.

[0720] Optimization of virtual reality and augmented reality experiences

[0721] Virtual reality (VR) and augmented reality (AR) content is dynamically adjusted based on the user's emotional state. The device utilizes feedback from the emotion engine when providing the user with 3D guided content received from the server. For example, if user B indicates fatigue, the device suggests a VR tour of a quiet natural environment, providing an immersive experience that takes the user's state into account.

[0722] Personalized information delivery and advertising

[0723] Premium members receive personalized information from a dedicated guide based on their emotions. The server uses data from the emotion engine to understand the user's needs in more detail and provides specific travel guidance and suggestions accordingly.

[0724] Furthermore, in the advertising management system, data from the emotion engine is utilized to select and display advertisements that are relevant to the user's emotions. For example, if a user is showing positive emotions, advertisements that encourage new experiences can be provided. In this way, the present invention comprehensively utilizes emotion data to realize a deeper level of personalized service for users.

[0725] The following describes the processing flow.

[0726] Step 1:

[0727] When a user logs into the system, the server collects and analyzes the user's past travel history, hobbies, and preferences from the database. This prepares the server for creating a travel plan based on the user's preferences.

[0728] Step 2:

[0729] The device collects the user's voice tone and facial expression data in real time using an emotion engine and analyzes their emotional state. This allows the system to understand what emotions the user is feeling about the content they are viewing.

[0730] Step 3:

[0731] Based on analyzed emotional data and past preference data, the server utilizes a generative AI model to customize the optimal travel plan for the user. For example, if positive emotions are detected, it proactively suggests new experiences and activities.

[0732] Step 4:

[0733] The server generates three-dimensional guide information tailored to the user's emotions and sends it to the terminal as virtual reality and augmented reality content. Through this, the user can have a virtual experience of their travel destination.

[0734] Step 5:

[0735] The device visualizes the VR / AR content sent to the user and optimizes the displayed content based on feedback from the emotion engine. For example, if the user is in an emotional state where relaxation is needed, it will display content that emphasizes cancellation facilities or the tranquility of nature.

[0736] Step 6:

[0737] If the user is a premium member, a dedicated guide will provide additional customized information via the server, taking into account emotional data. This helps create a detailed travel plan that meets the user's needs.

[0738] Step 7:

[0739] The server considers sentiment data and other relevant information to selectively display advertising information from partner businesses according to the user's sentiment. This allows users to obtain useful travel-related information.

[0740] Through these steps, the system can provide users with highly personalized travel plans and experiences.

[0741] (Example 2)

[0742] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0743] Traditional travel suggestion systems, while offering suggestions based on users' past behavior and interests, failed to consider real-time changes in emotional states, making it difficult to provide services tailored to the specific needs of individual users. This resulted in insufficient personalization of the user experience and potentially lowered service satisfaction.

[0744] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0745] In this invention, the server includes means for collecting and analyzing user emotional data in real time, means for dynamically adjusting the suggested content based on the collected emotional data, and a display device for visualizing information provided via a generation device and a virtual environment and an extended environment experience device. This makes it possible to provide more personalized travel suggestions and experiences based on the user's real-time emotional changes.

[0746] "Users" refer to individuals who receive travel suggestions and experiences through the system.

[0747] "Activity history" refers to records of past travels taken by users and their operation history within the system.

[0748] "Interest data" refers to information about users' hobbies and preferences, which forms the basis for providing personalized suggestions.

[0749] A "generator" refers to equipment or software used to analyze a user's behavioral history and interest data to create personalized recommendations.

[0750] "Three-dimensional guide information" refers to three-dimensional visual guides and navigation information about a travel destination.

[0751] A "virtual environment" refers to a digital experience space created by a computer.

[0752] An "augmented environment" refers to an experiential space where digital information is overlaid onto real-world scenery.

[0753] A "display device" refers to a device used to visually present generated information or suggestions to users.

[0754] "Emotional data" refers to data that represents the user's current emotional state, and is inferred from factors such as voice, facial expressions, and input patterns.

[0755] "Means of dynamic adjustment" refers to functions that modify and optimize the proposed content on the spot based on real-time data changes.

[0756] This invention is a system that provides personalized travel suggestions utilizing user emotional data. Specific embodiments of the system are described below.

[0757] The server uses aggregated user behavior history and interest data to generate suggestions using a generative AI model. This makes it possible to create travel plans tailored to individual users. The server analyzes this data using high-performance database software and an AI framework.

[0758] The device collects user emotional data in real time. Equipped with a microphone and camera, it infers the user's current emotional state through voice tone analysis and facial expression analysis. This allows the device to provide information that best suits the user's emotions.

[0759] Users receive travel plans and guide information through their devices. The devices use display devices to provide or simulate experiences in virtual and augmented environments. This allows users to have an immersive experience as if they were actually there, even before visiting the location.

[0760] For example, if a user accesses the device with the goal of "finding a place to relax," and the device detects from emotional data that the user is fatigued, it will suggest a VR experience of a quiet nature or resort. If the user confirms this relaxing experience and prompts "tell me why this is recommended," the server will use an AI model to respond, "Considering your level of fatigue, we have selected an experience that is highly relaxing."

[0761] In this embodiment, the system can provide dynamic suggestions and experiences based on the user's emotions, thereby improving user satisfaction.

[0762] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0763] Step 1:

[0764] The server collects user behavior history and interest data. This data includes the user's past travels and system preferences. The server efficiently retrieves and aggregates this information using high-speed database queries. The input is the user's identification information, and the output is the collected behavior history data and interest data. Specifically, the server extracts data from the database based on the user ID.

[0765] Step 2:

[0766] The device collects real-time emotional data from the user. A microphone and camera analyze voice tone and facial expressions to infer the user's emotional state. Input is the user's voice and video data, and output is the analyzed emotional data. Based on this emotional data, the device identifies the emotions the user is currently experiencing (e.g., excitement, relief, fatigue). Specifically, a voice analysis algorithm analyzes the pitch and tempo of the sound, and facial expression analysis is performed using video from the camera.

[0767] Step 3:

[0768] The server integrates collected emotional data and behavioral history data and uses a generative AI model to create a personalized travel plan. In this process, the input is the output data from steps 1 and 2, and the output is a travel plan optimized for the user. In a specific example, the AI ​​model analyzes the received data and suggests travel destinations and activities that match the user's current needs. For instance, if the generative AI model determines from the emotional data that the user needs "relaxation," it will select a tranquil travel destination.

[0769] Step 4:

[0770] The user is presented with a travel plan via their device and provides feedback using prompts. The input is travel plan data from the server, and the output is the user's feedback. Specifically, this involves the user reviewing the details of the presented plan and entering prompts such as "Tell me why you chose this plan."

[0771] Step 5:

[0772] The server receives feedback from the user and dynamically adjusts the travel plan as needed. The input is user feedback, and the output is the readjusted travel plan. Based on user feedback, the server updates what it should provide, achieving more accurate customization. Specifically, this involves a process in which the generating AI model performs new data analysis in response to prompts and modifies the suggested content.

[0773] Step 6:

[0774] The device provides the user with an optimized travel experience, both visually and virtually. The input is a retuned travel plan from a server, and the output is VR or AR content received by the user. Specific operations include the device providing the user with an immersive experience through VR goggles or AR devices.

[0775] Through this series of steps, the system can provide a travel experience tailored to individual users, thereby improving their satisfaction.

[0776] (Application Example 2)

[0777] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0778] Traditional travel suggestion systems could provide suggestions based on users' past activity history and interests, but they struggled to personalize suggestions in real time, taking into account the user's emotional state. As a result, they were unable to provide optimal suggestions tailored to the user's current emotions, leading to a tendency for travel experiences to be uniform. Furthermore, personalization based on user emotions was insufficient even in advertising and content suggestions.

[0779] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0780] In this invention, the server includes a generation means for collecting and analyzing the user's past activity history and hobby preference data to generate personalized suggestions; an emotion analysis means for estimating the user's emotional state and dynamically adjusting the suggestions based on the emotion data; and a visual experience means for generating three-dimensional guide information for destinations. This enables a high level of personalization based on the user's current emotions, improving the quality of travel suggestions and advertisement displays.

[0781] "Generation means" refers to a device or process that has the function of analyzing a user's past activity history and hobby preference data to generate suggestions tailored to each individual user.

[0782] "Emotional analysis means" refers to a device or process that has the function of estimating the user's emotional state in real time from the user's voice, facial expressions, etc., and dynamically adjusting the suggested content based on that data.

[0783] A "visual experience means" is a device or process that utilizes virtual reality or augmented reality technologies to generate three-dimensional guide information for a destination and present it visually to the user.

[0784] "Display means" refers to an apparatus or process for visualizing and providing to a user information provided by a generating means and a visual experience means via a terminal accessible to the user.

[0785] "Advertising management means" refers to a device or process that manages advertising information from external partner companies and has the function of presenting advertisements appropriately based on the user's emotions.

[0786] The system implementing this invention consists of a server, a terminal, and user interaction. The server first collects the user's past activity history and hobby preference data, analyzes this data, and includes a generation means for providing travel suggestions tailored to each individual user. This generation means plays the role of generating optimal suggestions based on the user's data.

[0787] Next, the server uses sentiment analysis tools to estimate the user's emotional state in real time from facial and voice data collected while the user is using the device. This makes it possible to dynamically adjust the suggested content based on the user's current emotions. For this part, sentiment analysis software such as Microsoft Azure Face API or Google Cloud Speech-to-Text API is used.

[0788] The terminal visually presents three-dimensional guide information transmitted from the server to the user, providing a virtual reality or augmented reality experience. This visual experience makes it possible to give the user a sense of presence as if they were actually there. Furthermore, the terminal visualizes the suggested content and visual experience generated using a display device, making it easily accessible to the user.

[0789] Furthermore, the advertising management system allows advertising information provided by external partners to be managed by a server, ensuring that advertisements are appropriately displayed according to the user's emotional state. This enables personalized marketing and provides users with the most relevant information.

[0790] As a concrete example, if a user is experiencing stress on their device, the server suggests video content of natural scenery that is expected to have a relaxing effect. To make such suggestions, a generative AI model is used, and a prompt message such as "Generate a relaxing video based on a natural environment" is employed. In this way, the present invention realizes a richer user experience by providing personalized information and experiences according to the user's emotional state and preferences.

[0791] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0792] Step 1:

[0793] When a user begins using the device, it retrieves the user's past activity history and hobbies / interests from a cloud-based database. This data is sent to a server, where it is used as input for analysis. The output consists of basic suggestions tailored to each user.

[0794] Step 2:

[0795] The server applies a generative AI model to generate optimal suggestions for each user based on the data acquired in Step 1. The input data consists of past activity history and hobby preference data, and the output is a basic travel plan tailored to the user's preferences. The prompt message "Generate an optimal travel plan based on the user's past data" is used during this process.

[0796] Step 3:

[0797] The device is equipped with a camera and microphone, which collect the user's facial expressions and voice in real time. This data is sent to a server and used as input for sentiment analysis. The output is analyzed as the user's emotional state.

[0798] Step 4:

[0799] The server's emotion analysis mechanism uses emotion analysis software to estimate the user's emotions from the data collected in step 3. The inputs are facial recognition data and voice tone analysis data, and the output is emotional information (e.g., joy, surprise, thrill). Based on this output, the suggested content is dynamically updated.

[0800] Step 5:

[0801] The updated suggestions are adjusted to include 3D guide information generated on the server and then sent to the terminal. The input is the user's emotional information and basic travel plan data, and the output is 3D guide information adjusted according to the emotional state.

[0802] Step 6:

[0803] The terminal provides the user with a virtual reality or augmented reality experience based on the information it receives. Through this, the user can experience a visual preview of a travel plan, which is presented using a device such as a headset. The input is three-dimensional guide information, and the output is the visual experience presented to the user.

[0804] Step 7:

[0805] The server uses an advertising management system to manage advertisements from external partners and dynamically selects relevant advertisements based on the user's emotional state and suggested content. The input is emotional information and updated suggested content, and the output is the advertisement information presented to the user.

[0806] 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 controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0807] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0808] 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 this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0809] Furthermore, the emotion identification model 59, acting 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 a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0810] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0811] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0812] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0813] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0814] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is 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 the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0815] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0816] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0817] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0818] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0819] 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.

[0820] Furthermore, it is not necessary to store the entirety 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 the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0821] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0822] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of 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). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0823] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0824] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0825] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0826] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0827] The following is further disclosed regarding the embodiments described above.

[0828] (Claim 1)

[0829] We collect the user's past activity history and hobby / interest data.

[0830] A generation means that analyzes the data and generates suggestions tailored to individual users,

[0831] Based on the above proposal, three-dimensional guide information for the destination is generated.

[0832] A means for providing virtual reality and augmented reality experiences to the user,

[0833] A display means for visualizing information provided by the generation means and the virtual reality and augmented reality experience means via a terminal accessible to the user,

[0834] A system that includes this.

[0835] (Claim 2)

[0836] The system according to claim 1, further comprising means for providing customized information provided by a dedicated guide based on the generated proposal content.

[0837] (Claim 3)

[0838] The system according to claim 1, further comprising advertising management means for managing advertising information from external partner businesses and appropriately presenting said advertising information to users.

[0839] "Example 1"

[0840] (Claim 1)

[0841] We collect users' past history and preference data,

[0842] A generation device that analyzes the data and generates suggested information tailored to individual users,

[0843] Based on the proposed information, 3D guide information for the destination is generated.

[0844] A virtual space and augmented space experience device that presents the aforementioned information to the user,

[0845] A display device that visualizes information provided by the generation device and the virtual space and augmented space experience device via an electronic device that can be operated by the user,

[0846] A device that collects user feedback and analyzes the feedback information to incorporate it into future proposals,

[0847] A system that includes this.

[0848] (Claim 2)

[0849] The system according to claim 1, further comprising a device that provides customized information provided by a dedicated guide based on the generated suggestion information.

[0850] (Claim 3)

[0851] The system according to claim 1, further comprising an advertising control device that controls advertising information from external partner companies and appropriately presents said advertising information to users.

[0852] "Application Example 1"

[0853] (Claim 1)

[0854] We collect users' past behavioral history and preference data,

[0855] A generation means that analyzes the data and generates a plan tailored to individual users,

[0856] Based on the aforementioned plan, three-dimensional visual information of the destination is generated.

[0857] A means for experiencing virtual reality and augmented reality that presents the aforementioned information to the user,

[0858] A video presentation means that visualizes information provided by the generation means and the virtual reality and augmented reality experience means via a user-operable communication device,

[0859] An advertising means for displaying commercial information related to the proposed plan,

[0860] A system that includes this.

[0861] (Claim 2)

[0862] The system according to claim 1, further comprising means for supplying personalized information provided by a dedicated guide based on the generated plan content.

[0863] (Claim 3)

[0864] The system according to claim 1, further comprising advertising management means for managing commercial information from external collaborators with specialized knowledge and for appropriately presenting said commercial information to users.

[0865] "Example 2 of combining an emotion engine"

[0866] (Claim 1)

[0867] We collect users' past behavioral history and interest data,

[0868] A generation device that analyzes the data and generates suggestions tailored to individual users,

[0869] Based on the above proposal, generate 3D guide information for the destination.

[0870] A virtual environment and extended environment experience device that presents the aforementioned information to the user,

[0871] A display device that visualizes information provided by the generation device and the virtual and extended environment experience device via a device that can be connected to by the user,

[0872] A device that collects and analyzes user emotional data in real time,

[0873] A device that dynamically adjusts the suggested content based on collected emotional data,

[0874] A system that includes this.

[0875] (Claim 2)

[0876] The system according to claim 1, further comprising a device that provides personalized information provided by a dedicated guide based on the generated proposal content.

[0877] (Claim 3)

[0878] The system according to claim 1, further comprising an advertising management device that manages advertising data from external partner businesses and appropriately presents the advertising data to users.

[0879] "Application example 2 when combining with an emotional engine"

[0880] (Claim 1)

[0881] We collect the user's past activity history and hobby / interest data.

[0882] A generation means that analyzes the data and generates suggestions tailored to individual users,

[0883] A sentiment analysis means that estimates the user's emotional state and dynamically adjusts the suggested content based on the sentiment data,

[0884] Based on the above proposal, three-dimensional guide information for the destination is generated.

[0885] A visual experience means for presenting the aforementioned information to the user,

[0886] A display means that visualizes the information provided by the generation means and the visual experience means via a terminal accessible to the user,

[0887] A system that includes this.

[0888] (Claim 2)

[0889] The system according to claim 1, further comprising means for providing customized information provided by a dedicated guide based on the generated proposal content.

[0890] (Claim 3)

[0891] The system according to claim 1, further comprising advertising management means for managing advertising information from external partner companies and appropriately presenting advertising information to users based on sentiment data. [Explanation of symbols]

[0892] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. We collect the user's past activity history and hobby / interest data. A generation means that analyzes the data and generates suggestions tailored to individual users, Based on the above proposal, three-dimensional guide information for the destination is generated. A means for providing virtual reality and augmented reality experiences to the user, A display means for visualizing information provided by the generation means and the virtual reality and augmented reality experience means via a terminal accessible to the user, A system that includes this.

2. The system according to claim 1, further comprising means for providing customized information provided by a dedicated guide based on the generated proposal content.

3. The system according to claim 1, further comprising advertising management means for managing advertising information from external partner businesses and appropriately presenting said advertising information to users.

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