system

Abstract

We provide the system. [Solution] Means of collecting behavioral data from users, A means for matching behavioral data with external travel information databases to generate personalized travel plans, A means for generating travel guide information using virtual reality technology based on a generated travel plan, A means of presenting a series of pieces of information to the user, and allowing the user to select and share travel plans, 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, 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] When planning a trip, it is cumbersome to find the optimal plan from a large number of options and information, and it is particularly difficult to select something that suits individual hobbies and preferences. In addition, there is a lack of guidance regarding specific actions at the travel destination and the selection of accommodation facilities, so people often feel anxious. An object of the present invention is to solve such problems and enable more efficient and worry-free trip planning.

Means for Solving the Problems

[0005] This invention solves the aforementioned problems by providing a system that compares behavioral data collected from users with an external travel information database and generates personalized travel plans based on the results. Furthermore, it generates travel guide information using virtual reality technology based on the generated travel plan and presents it to the user. In addition, it allows users to select a travel plan based on the presented information and share it with other users.

[0006] A "user" is an individual or group of individuals who use the system to create travel plans and have virtual experiences.

[0007] "Behavioral data" refers to a collection of information that shows a user's past travel history, movement patterns, interests, and preferences.

[0008] An "external travel information database" is a collection of data on accommodations and tourist destinations obtained from other service providers and publicly available information.

[0009] A "personalized travel plan" refers to a travel schedule and suggestions optimized for a specific user, based on information matched with the user's behavioral data.

[0010] "Virtual reality technology" is a technology that provides users with an immersive experience through computer-generated simulations.

[0011] "Travel guide information" refers to detailed descriptions and virtual experience content about tourist destinations, accommodations, activities, etc., provided based on a travel plan.

[0012] "To present" refers to the act of a system visually displaying or audibly conveying information to a user.

[0013] "Select and share" refers to the act of users deciding on a travel plan on the system and communicating that plan with other users.

[0014] "System" refers to all the devices and programs encompassed by this invention, and is the overall mechanism that functions to facilitate the user's travel planning process. [Brief explanation of the drawing]

[0015] [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] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14]It is a sequence diagram showing the processing flow of a data processing system in Application Example 2 when a sentiment engine is combined.

Embodiments for Carrying Out the Invention

[0016] 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.

[0017] First, the terms used in the following description will be explained.

[0018] In the following embodiments, a labeled processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple 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.

[0019] In the following embodiments, a labeled RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0020] In the following embodiments, a labeled storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc.

[0021] 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).

[0022] 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."

[0023] [First Embodiment]

[0024] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0025] 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.

[0026] 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).

[0027] 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.

[0028] 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.

[0029] 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.

[0030] 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.

[0031] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0032] 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.

[0033] 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.

[0034] 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.

[0035] 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".

[0036] As a specific embodiment of this invention, we will describe a process for realizing a system that provides an optimized travel plan based on user behavior data and further visualizes the travel experience in advance using virtual reality technology.

[0037] First, the user logs into the system and enters their travel history and preferences. This information is stored internally as behavioral data. The server integrates this behavioral data and cross-references it with external travel information databases. In this process, it gathers suggested destinations and activities that match the user's interests.

[0038] Next, the server utilizes generative AI to generate personalized travel plans tailored to the user. For example, a user who loves nature would be offered a travel plan that includes nature parks and hiking trails. This allows users to obtain a plan based on their interests in the shortest possible time.

[0039] After this, based on the selected travel plan, the server generates virtual travel guide information for the user using VR / AR technology. For example, detailed 3D images and audio guides are created for the selected tourist destinations and accommodations. The terminal displays this information to the user, allowing them to get a feel for the travel experience in advance.

[0040] Furthermore, once a travel plan is finalized, users can use the system to share it with other users. For example, users can send their plans to friends or family and ask for their opinions.

[0041] This embodiment streamlines travel planning, allowing users to prepare for their trips without anxiety. Furthermore, a key advantage of this invention is that users can virtually experience scenes they might encounter at their destination beforehand, enabling them to approach their trip in a relaxed state.

[0042] The following describes the processing flow.

[0043] Step 1:

[0044] Users log in to the system and enter or update their profile information, which includes past travel history, favorite activities, and destinations they wish to visit.

[0045] Step 2:

[0046] The server stores the profile information received from the user as behavioral data in a database. This data is used as material for personalized suggestions for each user.

[0047] Step 3:

[0048] The server accesses external travel information databases to retrieve the latest information, including information on accommodations, tourist attractions, and transportation.

[0049] Step 4:

[0050] The server matches user behavior data and uses generative AI to generate multiple personalized travel plans. This creates the optimal plan that matches the user's specific interests and preferences.

[0051] Step 5:

[0052] The device presents the user with generated travel plans. The user can compare these options and choose the plan that best suits their preferences.

[0053] Step 6:

[0054] The server generates travel guide information using VR / AR technology based on the selected travel plan. Landmarks and activities at the travel destination are reproduced in detail to enable a virtual experience.

[0055] Step 7:

[0056] The device visually displays the generated VR / AR travel guide information to the user. This allows the user to experience the atmosphere of their destination in advance.

[0057] Step 8:

[0058] Users can share their chosen travel plans with other users within the system. This allows them to get feedback on their plans from friends and family.

[0059] Step 9:

[0060] The server manages fees through partnerships with providers of travel-related information and operates the overall revenue model for the system.

[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] When planning a trip, there is a problem in that it is difficult to quickly and efficiently select a travel plan that suits individual needs from many options. Furthermore, there is a lack of means to experience the selected travel plan in advance and gain confidence. Because this process is time-consuming and labor-intensive, there is a need for faster travel planning and improved user experience.

[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 means for collecting behavioral data from the user and storing the information; means for comparing the behavioral data with an external database and extracting information on destinations and activities based on interests; means for generating a personalized travel plan suitable for the user using generative AI; and means for generating three-dimensional images and audio guides for a virtual experience based on the selected travel plan. This allows the user to easily obtain a travel plan tailored to their individual needs and to prepare for their trip with peace of mind by virtually experiencing it in advance.

[0066] A "user" refers to a person who accesses the system, inputs their behavioral data and preferences, and plans and shares their travel plans.

[0067] "Behavioral data" refers to data that includes information about a user's past travels and preferences.

[0068] A "database" is a collection of information that includes travel-related information from external sources and is used to match behavioral data.

[0069] "Generative AI" refers to an algorithm or program that uses artificial intelligence technology to generate personalized travel plans based on user behavior data.

[0070] "Personalized travel planning" refers to travel schedules and destination plans that are suggested based on the user's preferences and past behavioral data, tailored to their interests.

[0071] "Virtual experience" refers to technology that gives users the feeling of visiting their chosen travel destination in advance through three-dimensional images and audio guides.

[0072] An "information terminal" refers to a device that displays travel guide information and allows users to view and modify their travel plans.

[0073] This invention is a system that provides users with personalized travel plans and virtual experiences. The following describes embodiments for carrying out the invention.

[0074] Users first log in to the system using an information terminal. This terminal can be a common computer device, such as a PC or smartphone. Users then input their travel history and personal preferences. This information is collected as behavioral data and stored on a server. The server is a high-performance computing system connected to a database.

[0075] Next, the server compares the collected behavioral data with an external database. This database contains information about various destinations and activities. The server uses an SQL database management system to quickly filter and retrieve the necessary data.

[0076] Based on behavioral data and information from external databases, the server uses a generative AI model to create personalized travel plans. The generative AI model uses prompts such as, "Create a 3-day weekend trip to New Zealand for a nature-loving family. Include hiking, lake kayaking, and a family-friendly hot spring visit," to formulate the optimal plan based on the user's preferences and history. These prompts allow the AI ​​model to suggest a travel plan suitable for the user.

[0077] Furthermore, the server uses VR / AR technology to generate a virtual experience based on the selected travel plan. The server utilizes 3D modeling software such as Unity and Unreal Engine to create detailed 3D images and audio guides of tourist attractions and accommodations. The terminal then provides these images and audio to the user, allowing them to experience the travel destination in advance.

[0078] Finally, once a travel plan is complete, users can share it with other users through the system. They can send their plans via email or social media using their devices and receive feedback. This system allows users to efficiently obtain travel plans tailored to their individual needs and prepare for their trip with peace of mind.

[0079] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0080] Step 1:

[0081] Users log in to the system using an information terminal and enter data about their past travel history and preferences. This data includes specific travel destinations, activities, budget, and preferred genres (e.g., nature, culture). This information is sent to the server and recorded in the database. The input in this step is behavioral data provided by the user, and the output is this data stored on the server.

[0082] Step 2:

[0083] The server compares stored behavioral data with information from an external database. Specifically, the server uses SQL queries to retrieve relevant travel destination and activity information from the external database and filters the matched information. The inputs here are behavioral data and information from the external database, and the output is a list of suggested destinations and activities based on interests.

[0084] Step 3:

[0085] The server uses a generative AI model to create a personalized travel plan based on the user's behavioral data and a list of potential interests. Specifically, prompts are input to the AI ​​model, and the AI ​​calculates the optimal travel schedule according to the user's preferences and conditions. The input for this step is behavioral data and a list of candidates, and the output is a personalized travel plan.

[0086] Step 4:

[0087] The server generates 3D video and audio guides to provide a virtual experience based on the selected travel plan. Specifically, the server uses Unity or Unreal Engine to construct realistic 3D models of tourist attractions and accommodations and incorporates guide information. The input is the travel plan, and the output is virtual reality content.

[0088] Step 5:

[0089] The device provides users with generated 3D images and audio guides, enabling them to rehearse their trip through a virtual experience. This allows users to get a feel for the atmosphere of their travel destination in advance. The input is virtual reality content, and the output is the user's experience and feedback.

[0090] Step 6:

[0091] Users use their devices to share their completed travel plans with other users. Specifically, this involves sending the plan via email or social media, allowing users to gather feedback from those who receive the plan. The input for this step is the travel plan, and the output is the shared plan and the feedback it receives.

[0092] (Application Example 1)

[0093] 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."

[0094] In today's information society, it is difficult for individual users to quickly formulate optimal activity plans based on their interests and preferences, and to visualize those plans concretely. Furthermore, there is a lack of systems that allow users to virtually understand and adjust activity content before actually experiencing it, which makes it difficult for users to feel confident in their activity choices.

[0095] 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.

[0096] In this invention, the server includes means for collecting behavioral data from users, means for comparing the behavioral data with an external information database to generate an individualized activity plan, and means for generating instructional information using virtual reality technology based on the generated activity plan. This makes it possible for users to easily set an activity plan that suits their preferences and virtually experience the activity in advance.

[0097] A "user" is an entity that uses the system to provide behavioral data and receives an activity plan based on its own preferences.

[0098] "Behavioral data" refers to information about a user's past activity history and preferences, and serves as the basic information for the system to formulate personalized plans.

[0099] An "external information database" is a source of information that stores information on a variety of tourist destinations and activities, and is the target of comparison with behavioral data.

[0100] A "personalized activity plan" is a plan that creates an optimal activity schedule for the user based on their behavioral data and external information databases.

[0101] "Virtual reality technology" is a technology that visualizes information using a computer-generated three-dimensional virtual environment, providing users with a preview of the experience.

[0102] "Guidance information" refers to information that provides guidance and explanations to the user in virtual reality in relation to the generated activity plan.

[0103] A "display device" is a device used to visually present virtual reality content to a user.

[0104] The system for implementing this invention provides a personalized activity plan based on the user's behavioral data and visualizes that plan using virtual reality technology. The user first provides the system with data on their preferences and past activity history. This data is entered via a smartphone or PC application. Once data entry is complete, the server receives this behavioral data and compares it with an external information database. The external information database contains information on various tourist destinations and activities, from which activities matching the user's interests are extracted.

[0105] The server uses a generative AI model to generate personalized activity plans tailored to the user. This plan generation process utilizes machine learning algorithms and programming languages ​​such as Python and Node.js. For example, a user who enjoys nature might be suggested activities like forest hiking or park visits. Based on the generated plan, the server creates instructional information using virtual reality technology. Game engines such as Unity are used to construct this virtual space.

[0106] Users can visually review virtual reality-generated travel plans using display devices such as head-mounted displays or smartphones. For example, they can experience detailed 3D models of tourist attractions at their travel destination and listen to audio guides. This allows them to get a feel for the atmosphere of their destination before actually visiting. An example of a prompt might be: "User's travel data: Interested in history and culture. Generate recommended places for a virtual tour: Create a list of places to propose the best travel plan for the user and build a detailed travel plan."

[0107] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0108] Step 1:

[0109] Users access the application using their smartphones or computers and input their preferences and past activity history. This input data includes records of places visited and information about preferred activities. This input data serves as the foundational data for the system's initial processing.

[0110] Step 2:

[0111] The server compares the behavioral data received from the user with an external information database. During the matching process, the server searches for information that matches the user's interests and collects potential tourist destinations and activities. The input is the user's behavioral data, and the output is potential tourist destination data.

[0112] Step 3:

[0113] The server uses a generated AI model to create personalized activity plans based on collected candidate information. The model primarily uses machine learning algorithms to process data and develop plans optimized for user preferences. The input is tourist destination data, and the output is an activity plan tailored to the user.

[0114] Step 4:

[0115] The server generates instructional information using virtual reality technology based on the generated activity plan. In this process, 3D models and interactive content are developed using game engines such as Unity to visualize the plan concretely. The input is an individualized activity plan, and the output is instructional information in a virtual space.

[0116] Step 5:

[0117] The terminal transmits instructional information to a display device, and the user experiences the virtual space on a head-mounted display or smartphone. In actual operation, users can browse virtual tourist destinations and activities, and simulate the travel experience in advance using visuals and sounds. The input is instructional information from virtual reality, and the output is the user's visual and experiential information.

[0118] 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.

[0119] This invention realizes a system that personalizes travel plans by combining an emotion engine that recognizes user emotions. This system collects behavioral data from users, compares it with external travel information to generate personalized travel plans, and has the function of adjusting the plan based on the user's emotional state.

[0120] First, users log into the system and can directly input their emotions, such as expectations and anxieties about their travel destination. The emotion engine then analyzes the user's facial expressions and tone of voice in real time, acquiring emotional data. This allows the system to understand the user's preferences and emotional state at a deeper level.

[0121] Next, the server generates a travel plan tailored to the user's mood based on the acquired emotional data. For example, if the user is feeling stressed, it suggests a relaxing beach resort; if they are excited or adventurous, it generates a plan that includes active outdoor activities. Behavioral data and external travel information databases are also used in this process to further optimize the choices.

[0122] Subsequently, based on the generated travel plan, the server generates travel guide information using VR / AR technology that responds to the user's emotions. For example, if the user is excited, it can provide a virtual experience that emphasizes adventurous scenes.

[0123] The device presents the user with a generated travel plan and virtual experience content. The user can review this and select the optimal travel plan. Furthermore, an emotion engine tracks emotional changes in real time and can adjust the plan as needed.

[0124] This embodiment allows for a deeper understanding of user emotions and the provision of a more personalized travel experience. By receiving planning tailored to their emotions, users can prepare for their trip with peace of mind.

[0125] The following describes the processing flow.

[0126] Step 1:

[0127] Users log into the system and self-report their emotional state. They can also allow the system to measure their emotions in real time by granting permission for their camera and microphone to be used.

[0128] Step 2:

[0129] The server utilizes an emotion engine to analyze the user's facial expressions and voice. This allows it to identify the user's current emotional state (e.g., stress, anxiety, happiness, excitement, etc.).

[0130] Step 3:

[0131] The server integrates behavioral data and emotional states collected from users and cross-references them with an external travel information database. Based on this information, it generates personalized travel plan options that match the user's emotional state.

[0132] Step 4:

[0133] The server further optimizes the travel plans generated based on the user's emotional state. For example, it might suggest a spa resort to a user who needs relaxation, or a trekking tour to a user seeking adventure.

[0134] Step 5:

[0135] The device presents the user with several generated travel plans. The user can browse these plans and choose the one that best suits their emotional state.

[0136] Step 6:

[0137] The server generates emotionally responsive VR / AR travel guide information based on the selected travel plan. If the user is seeking relaxation, it prepares a virtual experience that emphasizes tranquil scenery; if they are seeking excitement, it prepares a virtual experience that highlights dynamic activities.

[0138] Step 7:

[0139] The device provides users with a virtual travel experience using VR / AR technology. This allows them to get a detailed feel for the atmosphere of their destination before they travel.

[0140] Step 8:

[0141] Users have the option to share their chosen travel plans with friends and family, through which they can receive feedback. Their emotional response to the plan provided by the system may also be measured again.

[0142] Step 9:

[0143] The server analyzes collected user feedback and sentiment data to further optimize travel plans, resulting in continuous improvements for individual users.

[0144] (Example 2)

[0145] 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 as the "terminal".

[0146] Conventional travel planning systems have faced challenges in quickly presenting plans that fully consider the user's emotions and individual preferences. Furthermore, they lacked dynamic adjustment functions to respond to changes in the user's emotions during the planning stage, resulting in insufficient optimization of the user experience.

[0147] 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.

[0148] In this invention, the server includes means for collecting behavioral and emotional data from users and matching it with an external database to generate personalized travel plans; means for generating information using virtual reality and augmented reality technologies; and means for dynamically adjusting the plan in response to changes in emotions. This enables the provision of personalized travel plans tailored to the user's emotions and preferences, and the optimization of the user experience through real-time adjustments.

[0149] "Behavioral data" refers to information related to a user's behavior, such as their past travel history, movement patterns, and internet search history.

[0150] "Emotional data" refers to information that represents a user's emotional state, obtained from the user's facial expressions, tone of voice, text input, etc.

[0151] "External databases" refer to various information sources that exist on the internet or in the cloud, including information on travel destinations, ratings of tourist attractions, and information on accommodations.

[0152] "Personalized travel planning" refers to travel schedules and suggestions optimized for the individual, generated based on the user's specific behavioral and emotional data.

[0153] "Virtual reality technology" refers to the technology that uses digital technology to create a three-dimensional virtual environment that users can perceive as being in reality.

[0154] Augmented reality technology refers to a technology that adds virtual elements to the real world by overlaying digital information onto the actual environment.

[0155] "Dynamic adjustment" refers to responding in real time to the user's changing emotions and preferences, and flexibly modifying travel plans accordingly.

[0156] "User interface" refers to interactive means, including screens and input devices, that allow users to interact with a system.

[0157] "Real-time" refers to a system processing information and reflecting or presenting it to the user without any time delay.

[0158] "Means of generating income" refers to mechanisms for obtaining monetary rewards through the use of the system or partnerships.

[0159] This invention is a system that personalizes travel plans based on the user's emotions and individual preferences.

[0160] Users log into the system and enter their travel wishes and concerns in text format. In addition, the user's device uses a camera and microphone to capture facial expressions and voice tone in real time, acquiring this as emotion data. This data is processed using emotion recognition software such as "EmotionAPI".

[0161] The server aggregates behavioral and emotional data transmitted from the terminal and cross-references it with an external travel information database. Based on this information, it generates a travel plan optimized for the user. The travel plan includes relaxation and activity suggestions tailored to the user's emotional state. For example, if the user is feeling stressed, the server will offer options including beach resorts.

[0162] Furthermore, the servers use software such as Unity and Unreal Engine to create virtual and augmented reality content based on the generated travel plans. This content is tailored to match the user's emotions; for example, users seeking adventure will be offered simulations of dynamic natural landscapes and active activities.

[0163] The device presents this information to the user through a user interface. The user interface enables interactive operation, making it easier for the user to select and modify their travel plan.

[0164] As a concrete example of a prompt, by sending the input "Suggest a travel plan that includes outdoor activities suitable for when the user is excited" to the generating AI model, the system will provide travel suggestions that satisfy the user's sense of adventure.

[0165] This embodiment allows users to obtain a travel plan that best suits their mood at the time, making the travel preparation process more personal and satisfying.

[0166] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0167] Step 1:

[0168] Users log into the system and input their travel hopes and concerns as text through the terminal's interface. This entered text data is then acquired as the initial data point. Simultaneously, the terminal uses its camera and microphone to capture the user's facial expressions and voice tone, acquiring this as emotion data. This data is then converted into emotion parameters using software such as EmotionAPI.

[0169] Step 2:

[0170] The server receives behavioral and emotional data transmitted from the terminal. Behavioral data includes the user's past travel history and search data, while emotional data is numerical information representing the user's psychological state. The server analyzes this data and uses a data engine to cross-reference it with an external travel information database. This process generates suggested travel destinations and activities optimized for the user's mood.

[0171] Step 3:

[0172] The server uses virtual reality and augmented reality technologies to create synthesized content based on the generated travel plan. Specifically, it uses development platforms such as Unity and Unreal Engine to build virtual tours and simulations of the travel destination. This process takes user emotional data into consideration, for example, to create an environment that is relaxing or an adventurous landscape.

[0173] Step 4:

[0174] The terminal presents the user with travel plans and virtual experience content received from the server via a user interface. As output, the user can review the details of the travel plan and gain a concrete understanding of its contents through visual and auditory experiences. Interactive features allow the user to select plans and modify them as needed.

[0175] Step 5:

[0176] The server receives user feedback and selection information, and the system monitors emotional changes in real time. This allows the travel plan to be dynamically adjusted, and optimal suggestions are made again based on the user's latest emotional state. Through this process, users can enjoy a constantly updated, personalized travel plan.

[0177] (Application Example 2)

[0178] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0179] Traditional travel planning was based on general trends and did not take user emotions into consideration, making it difficult to personalize plans in response to individual emotional changes. Furthermore, there was a lack of mechanisms to provide users with emotionally tailored plans through virtual experiences, thereby enabling them to achieve deeper satisfaction.

[0180] 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.

[0181] In this invention, the server includes means for acquiring emotional data from the user, means for matching behavioral data with external information resources to generate an individualized plan, and means for generating information using virtual experience technology. This makes it possible to generate a personalized plan that responds to the user's emotions.

[0182] "Emotional data" refers to information that analyzes a user's emotional state and expresses it numerically or qualitatively.

[0183] "Behavioral data" refers to information collected and analyzed from a user's behavioral history and activity patterns.

[0184] "External information resources" refer to databases and information networks that contain travel-related information.

[0185] A "personalized plan" is a travel or activity plan that is customized based on the user's emotional and behavioral data.

[0186] "Virtual experience technology" refers to technologies that use VR (Virtual Reality) and AR (Augmented Reality) to provide users with visual and sensory experiences.

[0187] The system implementing this invention generates personalized plans based on user emotional and behavioral data and provides them using virtual experience technology.

[0188] The server uses the camera and microphone on the user's smart device to analyze the user's facial expressions and voice tone, acquiring emotional data. This emotional data reflects the user's real-time emotional state and is stored in a database along with behavioral data. By cross-referencing this data with external information resources, the server generates personalized travel and activity plans tailored to the user.

[0189] The device utilizes virtual experience technology to visually present the generated plan to the user. Specifically, it uses VR headsets or AR-enabled smart devices to provide users with visual information and experiences based on the plan. For example, if the user is seeking relaxation, they can experience a tranquil beach scene in VR.

[0190] By receiving this information, users can select a plan based on their ideal experience and, if necessary, share it with other users. Furthermore, if the user requests changes, the plan can be modified in response to changes in their emotional data.

[0191] For example, if a user launches the app, smiles at the camera, and says "I want a fun experience" by voice, the generative AI model can recognize the emotion of "fun" and suggest a lively city sightseeing plan to the user. An example of a prompt to the generative AI model would be, "Analyze the photo of the user smiling and talking, and provide the reason for the smile."

[0192] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0193] Step 1:

[0194] The server uses the camera and microphone on the user's smart device to capture the user's facial expressions and voice tone. Receiving the user's video and audio data as input, it generates user emotion data by analyzing this data using an emotion engine. This process applies video processing algorithms and audio analysis techniques to quantify the emotional state.

[0195] Step 2:

[0196] The server comprehensively analyzes acquired sentiment data and behavioral data such as the user's activity history, and compares it with external information resources. Using sentiment data and behavioral data as input, it executes database queries to retrieve relevant information from external sources and generates personalized travel and activity plans. This utilizes recommendation algorithms to select travel destinations and activities that best match the user's sentiments and behavior.

[0197] Step 3:

[0198] The server sends the generated travel plan to the terminal using virtual reality technology, presenting the user with visual information. Here, the generated plan data is input and converted into VR or AR content formats. The output is distributed to the user's terminal as a 360-degree virtual reality experience or an augmented reality tourist guide.

[0199] Step 4:

[0200] The device provides the user with a planned virtual experience, and the user selects an actual travel plan based on that visual information. At this stage, the user can wear a VR headset or enjoy a simulation of the travel destination through an AR application. The input is virtual experience data from the server, and the output is visual and sensory feedback to the user.

[0201] Step 5:

[0202] Users can select or modify plans and send new sentiment data to the server in real time. Using this information as input, the server adjusts the travel plan as needed. In the process, a new plan is generated through a generating AI model and prompt messages.

[0203] Through this process, users receive personalized travel plans based on their emotions, resulting in a satisfying experience.

[0204] 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.

[0205] 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.

[0206] 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.

[0207] [Second Embodiment]

[0208] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0209] 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.

[0210] 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).

[0211] 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.

[0212] 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.

[0213] 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).

[0214] 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.

[0215] 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.

[0216] 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.

[0217] 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.

[0218] 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.

[0219] 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".

[0220] As a specific embodiment of this invention, we will describe a process for realizing a system that provides an optimized travel plan based on user behavior data and further visualizes the travel experience in advance using virtual reality technology.

[0221] First, the user logs into the system and enters their travel history and preferences. This information is stored internally as behavioral data. The server integrates this behavioral data and cross-references it with external travel information databases. In this process, it gathers suggested destinations and activities that match the user's interests.

[0222] Next, the server utilizes generative AI to generate personalized travel plans tailored to the user. For example, a user who loves nature would be offered a travel plan that includes nature parks and hiking trails. This allows users to obtain a plan based on their interests in the shortest possible time.

[0223] After this, based on the selected travel plan, the server generates virtual travel guide information for the user using VR / AR technology. For example, detailed 3D images and audio guides are created for the selected tourist destinations and accommodations. The terminal displays this information to the user, allowing them to get a feel for the travel experience in advance.

[0224] Furthermore, once a travel plan is finalized, users can use the system to share it with other users. For example, users can send their plans to friends or family and ask for their opinions.

[0225] This embodiment streamlines travel planning, allowing users to prepare for their trips without anxiety. Furthermore, a key advantage of this invention is that users can virtually experience scenes they might encounter at their destination beforehand, enabling them to approach their trip in a relaxed state.

[0226] The following describes the processing flow.

[0227] Step 1:

[0228] Users log in to the system and enter or update their profile information, which includes past travel history, favorite activities, and destinations they wish to visit.

[0229] Step 2:

[0230] The server stores the profile information received from the user as behavioral data in a database. This data is used as material for personalized suggestions for each user.

[0231] Step 3:

[0232] The server accesses external travel information databases to retrieve the latest information, including information on accommodations, tourist attractions, and transportation.

[0233] Step 4:

[0234] The server matches user behavior data and uses generative AI to generate multiple personalized travel plans. This creates the optimal plan that matches the user's specific interests and preferences.

[0235] Step 5:

[0236] The device presents the user with generated travel plans. The user can compare these options and choose the plan that best suits their preferences.

[0237] Step 6:

[0238] The server generates travel guide information using VR / AR technology based on the selected travel plan. Landmarks and activities at the travel destination are reproduced in detail to enable a virtual experience.

[0239] Step 7:

[0240] The device visually displays the generated VR / AR travel guide information to the user. This allows the user to experience the atmosphere of their destination in advance.

[0241] Step 8:

[0242] Users can share their chosen travel plans with other users within the system. This allows them to get feedback on their plans from friends and family.

[0243] Step 9:

[0244] The server manages fees through partnerships with providers of travel-related information and operates the overall revenue model for the system.

[0245] (Example 1)

[0246] 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."

[0247] When planning a trip, there is a problem in that it is difficult to quickly and efficiently select a travel plan that suits individual needs from many options. Furthermore, there is a lack of means to experience the selected travel plan in advance and gain confidence. Because this process is time-consuming and labor-intensive, there is a need for faster travel planning and improved user experience.

[0248] 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.

[0249] In this invention, the server includes means for collecting behavioral data from the user and storing the information; means for comparing the behavioral data with an external database and extracting information on destinations and activities based on interests; means for generating a personalized travel plan suitable for the user using generative AI; and means for generating three-dimensional images and audio guides for a virtual experience based on the selected travel plan. This allows the user to easily obtain a travel plan tailored to their individual needs and to prepare for their trip with peace of mind by virtually experiencing it in advance.

[0250] A "user" refers to a person who accesses the system, inputs their behavioral data and preferences, and plans and shares their travel plans.

[0251] "Behavioral data" refers to data that includes information about a user's past travels and preferences.

[0252] A "database" is a collection of information that includes travel-related information from external sources and is used to match behavioral data.

[0253] "Generative AI" refers to an algorithm or program that uses artificial intelligence technology to generate personalized travel plans based on user behavior data.

[0254] "Personalized travel planning" refers to travel schedules and destination plans that are suggested based on the user's preferences and past behavioral data, tailored to their interests.

[0255] "Virtual experience" refers to technology that gives users the feeling of visiting their chosen travel destination in advance through three-dimensional images and audio guides.

[0256] An "information terminal" refers to a device that displays travel guide information and allows users to view and modify their travel plans.

[0257] This invention is a system that provides users with personalized travel plans and virtual experiences. The following describes embodiments for carrying out the invention.

[0258] Users first log in to the system using an information terminal. This terminal can be a common computer device, such as a PC or smartphone. Users then input their travel history and personal preferences. This information is collected as behavioral data and stored on a server. The server is a high-performance computing system connected to a database.

[0259] Next, the server compares the collected behavioral data with an external database. This database contains information about various destinations and activities. The server uses an SQL database management system to quickly filter and retrieve the necessary data.

[0260] Based on behavioral data and information from external databases, the server uses a generative AI model to create personalized travel plans. The generative AI model uses prompts such as, "Create a 3-day weekend trip to New Zealand for a nature-loving family. Include hiking, lake kayaking, and a family-friendly hot spring visit," to formulate the optimal plan based on the user's preferences and history. These prompts allow the AI ​​model to suggest a travel plan suitable for the user.

[0261] Furthermore, the server uses VR / AR technology to generate a virtual experience based on the selected travel plan. The server utilizes 3D modeling software such as Unity and Unreal Engine to create detailed 3D images and audio guides of tourist attractions and accommodations. The terminal then provides these images and audio to the user, allowing them to experience the travel destination in advance.

[0262] Finally, once a travel plan is complete, users can share it with other users through the system. They can send their plans via email or social media using their devices and receive feedback. This system allows users to efficiently obtain travel plans tailored to their individual needs and prepare for their trip with peace of mind.

[0263] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0264] Step 1:

[0265] Users log in to the system using an information terminal and enter data about their past travel history and preferences. This data includes specific travel destinations, activities, budget, and preferred genres (e.g., nature, culture). This information is sent to the server and recorded in the database. The input in this step is behavioral data provided by the user, and the output is this data stored on the server.

[0266] Step 2:

[0267] The server compares stored behavioral data with information from an external database. Specifically, the server uses SQL queries to retrieve relevant travel destination and activity information from the external database and filters the matched information. The inputs here are behavioral data and information from the external database, and the output is a list of suggested destinations and activities based on interests.

[0268] Step 3:

[0269] The server uses a generative AI model to create a personalized travel plan based on the user's behavioral data and a list of potential interests. Specifically, prompts are input to the AI ​​model, and the AI ​​calculates the optimal travel schedule according to the user's preferences and conditions. The input for this step is behavioral data and a list of candidates, and the output is a personalized travel plan.

[0270] Step 4:

[0271] The server generates 3D video and audio guides to provide a virtual experience based on the selected travel plan. Specifically, the server uses Unity or Unreal Engine to construct realistic 3D models of tourist attractions and accommodations and incorporates guide information. The input is the travel plan, and the output is virtual reality content.

[0272] Step 5:

[0273] The device provides users with generated 3D images and audio guides, enabling them to rehearse their trip through a virtual experience. This allows users to get a feel for the atmosphere of their travel destination in advance. The input is virtual reality content, and the output is the user's experience and feedback.

[0274] Step 6:

[0275] Users use their devices to share their completed travel plans with other users. Specifically, this involves sending the plan via email or social media, allowing users to gather feedback from those who receive the plan. The input for this step is the travel plan, and the output is the shared plan and the feedback it receives.

[0276] (Application Example 1)

[0277] 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 glasses 214 will be referred to as the "terminal."

[0278] In today's information society, it is difficult for individual users to quickly formulate optimal activity plans based on their interests and preferences, and to visualize those plans concretely. Furthermore, there is a lack of systems that allow users to virtually understand and adjust activity content before actually experiencing it, which makes it difficult for users to feel confident in their activity choices.

[0279] 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.

[0280] In this invention, the server includes means for collecting behavioral data from users, means for comparing the behavioral data with an external information database to generate an individualized activity plan, and means for generating instructional information using virtual reality technology based on the generated activity plan. This makes it possible for users to easily set an activity plan that suits their preferences and virtually experience the activity in advance.

[0281] A "user" is an entity that uses the system to provide behavioral data and receives an activity plan based on its own preferences.

[0282] "Behavioral data" refers to information about a user's past activity history and preferences, and serves as the basic information for the system to formulate personalized plans.

[0283] The "external information database" is an information source that accumulates information on various tourist destinations and activities, and is the target to be compared with behavioral data.

[0284] The "individualized activity plan" is a plan that creates an optimal activity schedule for the user based on the user's behavioral data and the external information database.

[0285] The "virtual reality technology" is a technology that visualizes information using a three-dimensional virtual environment generated by a computer, and provides the user with a preview of the experience.

[0286] The "guidance information" is information that provides guidance and explanations to the user in virtual reality in relation to the generated activity plan.

[0287] The "display device" is a device for visually presenting virtual reality content to the user.

[0288] The system for implementing this invention provides an individualized activity plan based on the user's behavioral data, and visualizes the plan using virtual reality technology. First, the user provides the system with data on their preferences and past activity history. These data are input through applications on smartphones or personal computers. When the data input is completed, the server receives these behavioral data and performs collation with the external information database. The external information database contains information on various tourist destinations and activities, and extracts activities that match the user's interests from here.

[0289] The server uses a generative AI model to generate personalized activity plans tailored to the user. This plan generation process utilizes machine learning algorithms and programming languages ​​such as Python and Node.js. For example, a user who enjoys nature might be suggested activities like forest hiking or park visits. Based on the generated plan, the server creates instructional information using virtual reality technology. Game engines such as Unity are used to construct this virtual space.

[0290] Users can visually review virtual reality-generated travel plans using display devices such as head-mounted displays or smartphones. For example, they can experience detailed 3D models of tourist attractions at their travel destination and listen to audio guides. This allows them to get a feel for the atmosphere of their destination before actually visiting. An example of a prompt might be: "User's travel data: Interested in history and culture. Generate recommended places for a virtual tour: Create a list of places to propose the best travel plan for the user and build a detailed travel plan."

[0291] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0292] Step 1:

[0293] Users access the application using their smartphones or computers and input their preferences and past activity history. This input data includes records of places visited and information about preferred activities. This input data serves as the foundational data for the system's initial processing.

[0294] Step 2:

[0295] The server compares the behavioral data received from the user with an external information database. During the matching process, the server searches for information that matches the user's interests and collects potential tourist destinations and activities. The input is the user's behavioral data, and the output is potential tourist destination data.

[0296] Step 3:

[0297] The server uses a generated AI model to create personalized activity plans based on collected candidate information. The model primarily uses machine learning algorithms to process data and develop plans optimized for user preferences. The input is tourist destination data, and the output is an activity plan tailored to the user.

[0298] Step 4:

[0299] The server generates instructional information using virtual reality technology based on the generated activity plan. In this process, 3D models and interactive content are developed using game engines such as Unity to visualize the plan concretely. The input is an individualized activity plan, and the output is instructional information in a virtual space.

[0300] Step 5:

[0301] The terminal transmits instructional information to a display device, and the user experiences the virtual space on a head-mounted display or smartphone. In actual operation, users can browse virtual tourist destinations and activities, and simulate the travel experience in advance using visuals and sounds. The input is instructional information from virtual reality, and the output is the user's visual and experiential information.

[0302] 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.

[0303] The present invention realizes a system that combines an emotion engine for recognizing a user's emotions to make travel plans more personalized. This system has the function of collecting behavioral data from the user, collating it with external travel information to generate an individualized travel plan, and adjusting the plan based on the user's emotional state.

[0304] First, the user logs in to the system and can directly input emotions such as expectations and anxieties about the travel destination. Also, the emotion engine analyzes the user's expressions and voice tones in real time to obtain emotion data. Thereby, the system understands the user's preferences and emotional state at a deeper level.

[0305] Next, based on the obtained emotion data, the server generates a travel plan that suits the user's mood. For example, when the user is feeling stressed, it proposes a beach resort where they can relax, and when the user has a strong sense of excitement or adventure, it generates a plan that includes active outdoor activities. At this time, the behavioral data and the external travel information database are also used in combination, and the options are further optimized.

[0306] After that, based on the generated travel plan, the server generates travel guide information using VR / AR technology according to the emotion. For example, when the user is excited, it can provide a virtual experience that emphasizes adventurous scenes.

[0307] The terminal presents the generated travel plan and virtual experience content to the user. The user can check this and select the optimal travel plan. Furthermore, the emotion engine can track emotional changes in real time and adjust the plan as needed.

[0308] With this embodiment, it is possible to deeply understand the user's emotions and provide a more personalized travel experience. By receiving planning that suits their emotions, the user can proceed with travel preparations with peace of mind.

[0309] The following describes the processing flow.

[0310] Step 1:

[0311] Users log into the system and self-report their emotional state. They can also allow the system to measure their emotions in real time by granting permission for their camera and microphone to be used.

[0312] Step 2:

[0313] The server utilizes an emotion engine to analyze the user's facial expressions and voice. This allows it to identify the user's current emotional state (e.g., stress, anxiety, happiness, excitement, etc.).

[0314] Step 3:

[0315] The server integrates behavioral data and emotional states collected from users and cross-references them with an external travel information database. Based on this information, it generates personalized travel plan options that match the user's emotional state.

[0316] Step 4:

[0317] The server further optimizes the travel plans generated based on the user's emotional state. For example, it might suggest a spa resort to a user who needs relaxation, or a trekking tour to a user seeking adventure.

[0318] Step 5:

[0319] The device presents the user with several generated travel plans. The user can browse these plans and choose the one that best suits their emotional state.

[0320] Step 6:

[0321] The server generates emotionally responsive VR / AR travel guide information based on the selected travel plan. If the user is seeking relaxation, it prepares a virtual experience that emphasizes tranquil scenery; if they are seeking excitement, it prepares a virtual experience that highlights dynamic activities.

[0322] Step 7:

[0323] The device provides users with a virtual travel experience using VR / AR technology. This allows them to get a detailed feel for the atmosphere of their destination before they travel.

[0324] Step 8:

[0325] Users have the option to share their chosen travel plans with friends and family, through which they can receive feedback. Their emotional response to the plan provided by the system may also be measured again.

[0326] Step 9:

[0327] The server analyzes collected user feedback and sentiment data to further optimize travel plans, resulting in continuous improvements for individual users.

[0328] (Example 2)

[0329] 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".

[0330] Conventional travel planning systems have faced challenges in quickly presenting plans that fully consider the user's emotions and individual preferences. Furthermore, they lacked dynamic adjustment functions to respond to changes in the user's emotions during the planning stage, resulting in insufficient optimization of the user experience.

[0331] 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.

[0332] In this invention, the server includes means for collecting behavioral and emotional data from users and matching it with an external database to generate personalized travel plans; means for generating information using virtual reality and augmented reality technologies; and means for dynamically adjusting the plan in response to changes in emotions. This enables the provision of personalized travel plans tailored to the user's emotions and preferences, and the optimization of the user experience through real-time adjustments.

[0333] "Behavioral data" refers to information related to a user's behavior, such as their past travel history, movement patterns, and internet search history.

[0334] "Emotional data" refers to information that represents a user's emotional state, obtained from the user's facial expressions, tone of voice, text input, etc.

[0335] "External databases" refer to various information sources that exist on the internet or in the cloud, including information on travel destinations, ratings of tourist attractions, and information on accommodations.

[0336] "Personalized travel planning" refers to travel schedules and suggestions optimized for the individual, generated based on the user's specific behavioral and emotional data.

[0337] "Virtual reality technology" refers to the technology that uses digital technology to create a three-dimensional virtual environment that users can perceive as being in reality.

[0338] Augmented reality technology refers to a technology that adds virtual elements to the real world by overlaying digital information onto the actual environment.

[0339] "Dynamic adjustment" refers to responding in real time to the user's changing emotions and preferences, and flexibly modifying travel plans accordingly.

[0340] "User interface" refers to interactive means, including screens and input devices, that allow users to interact with a system.

[0341] "Real-time" refers to a system processing information and reflecting or presenting it to the user without any time delay.

[0342] "Means of generating income" refers to mechanisms for obtaining monetary rewards through the use of the system or partnerships.

[0343] This invention is a system that personalizes travel plans based on the user's emotions and individual preferences.

[0344] Users log into the system and enter their travel wishes and concerns in text format. In addition, the user's device uses a camera and microphone to capture facial expressions and voice tone in real time, acquiring this as emotion data. This data is processed using emotion recognition software such as "EmotionAPI".

[0345] The server aggregates behavioral and emotional data transmitted from the terminal and cross-references it with an external travel information database. Based on this information, it generates a travel plan optimized for the user. The travel plan includes relaxation and activity suggestions tailored to the user's emotional state. For example, if the user is feeling stressed, the server will offer options including beach resorts.

[0346] Furthermore, the servers use software such as Unity and Unreal Engine to create virtual and augmented reality content based on the generated travel plans. This content is tailored to match the user's emotions; for example, users seeking adventure will be offered simulations of dynamic natural landscapes and active activities.

[0347] The device presents this information to the user through a user interface. The user interface enables interactive operation, making it easier for the user to select and modify their travel plan.

[0348] As a concrete example of a prompt, by sending the input "Suggest a travel plan that includes outdoor activities suitable for when the user is excited" to the generating AI model, the system will provide travel suggestions that satisfy the user's sense of adventure.

[0349] This embodiment allows users to obtain a travel plan that best suits their mood at the time, making the travel preparation process more personal and satisfying.

[0350] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0351] Step 1:

[0352] Users log into the system and input their travel hopes and concerns as text through the terminal's interface. This entered text data is then acquired as the initial data point. Simultaneously, the terminal uses its camera and microphone to capture the user's facial expressions and voice tone, acquiring this as emotion data. This data is then converted into emotion parameters using software such as EmotionAPI.

[0353] Step 2:

[0354] The server receives behavioral and emotional data transmitted from the terminal. Behavioral data includes the user's past travel history and search data, while emotional data is numerical information representing the user's psychological state. The server analyzes this data and uses a data engine to cross-reference it with an external travel information database. This process generates suggested travel destinations and activities optimized for the user's mood.

[0355] Step 3:

[0356] The server uses virtual reality and augmented reality technologies to create synthesized content based on the generated travel plan. Specifically, it uses development platforms such as Unity and Unreal Engine to build virtual tours and simulations of the travel destination. This process takes user emotional data into consideration, for example, to create an environment that is relaxing or an adventurous landscape.

[0357] Step 4:

[0358] The terminal presents the user with travel plans and virtual experience content received from the server via a user interface. As output, the user can review the details of the travel plan and gain a concrete understanding of its contents through visual and auditory experiences. Interactive features allow the user to select plans and modify them as needed.

[0359] Step 5:

[0360] The server receives user feedback and selection information, and the system monitors emotional changes in real time. This allows the travel plan to be dynamically adjusted, and optimal suggestions are made again based on the user's latest emotional state. Through this process, users can enjoy a constantly updated, personalized travel plan.

[0361] (Application Example 2)

[0362] 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."

[0363] Traditional travel planning was based on general trends and did not take user emotions into consideration, making it difficult to personalize plans in response to individual emotional changes. Furthermore, there was a lack of mechanisms to provide users with emotionally tailored plans through virtual experiences, thereby enabling them to achieve deeper satisfaction.

[0364] 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.

[0365] In this invention, the server includes means for acquiring emotional data from the user, means for matching behavioral data with external information resources to generate an individualized plan, and means for generating information using virtual experience technology. This makes it possible to generate a personalized plan that responds to the user's emotions.

[0366] "Emotional data" refers to information that analyzes a user's emotional state and expresses it numerically or qualitatively.

[0367] "Behavioral data" refers to information collected and analyzed from a user's behavioral history and activity patterns.

[0368] "External information resources" refer to databases and information networks that contain travel-related information.

[0369] A "personalized plan" is a travel or activity plan that is customized based on the user's emotional and behavioral data.

[0370] "Virtual experience technology" refers to technologies that use VR (Virtual Reality) and AR (Augmented Reality) to provide users with visual and sensory experiences.

[0371] The system implementing this invention generates personalized plans based on user emotional and behavioral data and provides them using virtual experience technology.

[0372] The server uses the camera and microphone on the user's smart device to analyze the user's facial expressions and voice tone, acquiring emotional data. This emotional data reflects the user's real-time emotional state and is stored in a database along with behavioral data. By cross-referencing this data with external information resources, the server generates personalized travel and activity plans tailored to the user.

[0373] The device utilizes virtual experience technology to visually present the generated plan to the user. Specifically, it uses VR headsets or AR-enabled smart devices to provide users with visual information and experiences based on the plan. For example, if the user is seeking relaxation, they can experience a tranquil beach scene in VR.

[0374] By receiving this information, users can select a plan based on their ideal experience and, if necessary, share it with other users. Furthermore, if the user requests changes, the plan can be modified in response to changes in their emotional data.

[0375] For example, if a user launches the app, smiles at the camera, and says "I want a fun experience" by voice, the generative AI model can recognize the emotion of "fun" and suggest a lively city sightseeing plan to the user. An example of a prompt to the generative AI model would be, "Analyze the photo of the user smiling and talking, and provide the reason for the smile."

[0376] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0377] Step 1:

[0378] The server uses the camera and microphone on the user's smart device to capture the user's facial expressions and voice tone. Receiving the user's video and audio data as input, it generates user emotion data by analyzing this data using an emotion engine. This process applies video processing algorithms and audio analysis techniques to quantify the emotional state.

[0379] Step 2:

[0380] The server comprehensively analyzes acquired sentiment data and behavioral data such as the user's activity history, and compares it with external information resources. Using sentiment data and behavioral data as input, it executes database queries to retrieve relevant information from external sources and generates personalized travel and activity plans. This utilizes recommendation algorithms to select travel destinations and activities that best match the user's sentiments and behavior.

[0381] Step 3:

[0382] The server sends the generated travel plan to the terminal using virtual reality technology, presenting the user with visual information. Here, the generated plan data is input and converted into VR or AR content formats. The output is distributed to the user's terminal as a 360-degree virtual reality experience or an augmented reality tourist guide.

[0383] Step 4:

[0384] The device provides the user with a planned virtual experience, and the user selects an actual travel plan based on that visual information. At this stage, the user can wear a VR headset or enjoy a simulation of the travel destination through an AR application. The input is virtual experience data from the server, and the output is visual and sensory feedback to the user.

[0385] Step 5:

[0386] Users can select or modify plans and send new sentiment data to the server in real time. Using this information as input, the server adjusts the travel plan as needed. In the process, a new plan is generated through a generating AI model and prompt messages.

[0387] Through this process, users receive personalized travel plans based on their emotions, resulting in a satisfying experience.

[0388] 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.

[0389] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One 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.

[0390] 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.

[0391] [Third Embodiment]

[0392] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0393] 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.

[0394] 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).

[0395] 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.

[0396] 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.

[0397] 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).

[0398] 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.

[0399] 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.

[0400] 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.

[0401] 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.

[0402] 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.

[0403] 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".

[0404] As a specific embodiment of this invention, we will describe a process for realizing a system that provides an optimized travel plan based on user behavior data and further visualizes the travel experience in advance using virtual reality technology.

[0405] First, the user logs into the system and enters their travel history and preferences. This information is stored internally as behavioral data. The server integrates this behavioral data and cross-references it with external travel information databases. In this process, it gathers suggested destinations and activities that match the user's interests.

[0406] Next, the server utilizes generative AI to generate personalized travel plans tailored to the user. For example, a user who loves nature would be offered a travel plan that includes nature parks and hiking trails. This allows users to obtain a plan based on their interests in the shortest possible time.

[0407] After this, based on the selected travel plan, the server generates virtual travel guide information for the user using VR / AR technology. For example, detailed 3D images and audio guides are created for the selected tourist destinations and accommodations. The terminal displays this information to the user, allowing them to get a feel for the travel experience in advance.

[0408] Furthermore, once a travel plan is finalized, users can use the system to share it with other users. For example, users can send their plans to friends or family and ask for their opinions.

[0409] This embodiment streamlines travel planning, allowing users to prepare for their trips without anxiety. Furthermore, a key advantage of this invention is that users can virtually experience scenes they might encounter at their destination beforehand, enabling them to approach their trip in a relaxed state.

[0410] The following describes the processing flow.

[0411] Step 1:

[0412] Users log in to the system and enter or update their profile information, which includes past travel history, favorite activities, and destinations they wish to visit.

[0413] Step 2:

[0414] The server stores the profile information received from the user as behavioral data in a database. This data is used as material for personalized suggestions for each user.

[0415] Step 3:

[0416] The server accesses external travel information databases to retrieve the latest information, including information on accommodations, tourist attractions, and transportation.

[0417] Step 4:

[0418] The server matches user behavior data and uses generative AI to generate multiple personalized travel plans. This creates the optimal plan that matches the user's specific interests and preferences.

[0419] Step 5:

[0420] The device presents the user with generated travel plans. The user can compare these options and choose the plan that best suits their preferences.

[0421] Step 6:

[0422] The server generates travel guide information using VR / AR technology based on the selected travel plan. Landmarks and activities at the travel destination are reproduced in detail to enable a virtual experience.

[0423] Step 7:

[0424] The device visually displays the generated VR / AR travel guide information to the user. This allows the user to experience the atmosphere of their destination in advance.

[0425] Step 8:

[0426] Users can share their chosen travel plans with other users within the system. This allows them to get feedback on their plans from friends and family.

[0427] Step 9:

[0428] The server manages fees through partnerships with providers of travel-related information and operates the overall revenue model for the system.

[0429] (Example 1)

[0430] 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."

[0431] When planning a trip, there is a problem in that it is difficult to quickly and efficiently select a travel plan that suits individual needs from many options. Furthermore, there is a lack of means to experience the selected travel plan in advance and gain confidence. Because this process is time-consuming and labor-intensive, there is a need for faster travel planning and improved user experience.

[0432] 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.

[0433] In this invention, the server includes means for collecting behavioral data from the user and storing the information; means for comparing the behavioral data with an external database and extracting information on destinations and activities based on interests; means for generating a personalized travel plan suitable for the user using generative AI; and means for generating three-dimensional images and audio guides for a virtual experience based on the selected travel plan. This allows the user to easily obtain a travel plan tailored to their individual needs and to prepare for their trip with peace of mind by virtually experiencing it in advance.

[0434] A "user" refers to a person who accesses the system, inputs their behavioral data and preferences, and plans and shares their travel plans.

[0435] "Behavioral data" refers to data that includes information about a user's past travels and preferences.

[0436] A "database" is a collection of information that includes travel-related information from external sources and is used to match behavioral data.

[0437] "Generative AI" refers to an algorithm or program that uses artificial intelligence technology to generate personalized travel plans based on user behavior data.

[0438] "Personalized travel planning" refers to travel schedules and destination plans that are suggested based on the user's preferences and past behavioral data, tailored to their interests.

[0439] "Virtual experience" refers to technology that gives users the feeling of visiting their chosen travel destination in advance through three-dimensional images and audio guides.

[0440] An "information terminal" refers to a device that displays travel guide information and allows users to view and modify their travel plans.

[0441] This invention is a system that provides users with personalized travel plans and virtual experiences. The following describes embodiments for carrying out the invention.

[0442] Users first log in to the system using an information terminal. This terminal can be a common computer device, such as a PC or smartphone. Users then input their travel history and personal preferences. This information is collected as behavioral data and stored on a server. The server is a high-performance computing system connected to a database.

[0443] Next, the server compares the collected behavioral data with an external database. This database contains information about various destinations and activities. The server uses an SQL database management system to quickly filter and retrieve the necessary data.

[0444] Based on behavioral data and information from external databases, the server uses a generative AI model to create personalized travel plans. The generative AI model uses prompts such as, "Create a 3-day weekend trip to New Zealand for a nature-loving family. Include hiking, lake kayaking, and a family-friendly hot spring visit," to formulate the optimal plan based on the user's preferences and history. These prompts allow the AI ​​model to suggest a travel plan suitable for the user.

[0445] Furthermore, the server uses VR / AR technology to generate a virtual experience based on the selected travel plan. The server utilizes 3D modeling software such as Unity and Unreal Engine to create detailed 3D images and audio guides of tourist attractions and accommodations. The terminal then provides these images and audio to the user, allowing them to experience the travel destination in advance.

[0446] Finally, once a travel plan is complete, users can share it with other users through the system. They can send their plans via email or social media using their devices and receive feedback. This system allows users to efficiently obtain travel plans tailored to their individual needs and prepare for their trip with peace of mind.

[0447] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0448] Step 1:

[0449] Users log in to the system using an information terminal and enter data about their past travel history and preferences. This data includes specific travel destinations, activities, budget, and preferred genres (e.g., nature, culture). This information is sent to the server and recorded in the database. The input in this step is behavioral data provided by the user, and the output is this data stored on the server.

[0450] Step 2:

[0451] The server compares stored behavioral data with information from an external database. Specifically, the server uses SQL queries to retrieve relevant travel destination and activity information from the external database and filters the matched information. The inputs here are behavioral data and information from the external database, and the output is a list of suggested destinations and activities based on interests.

[0452] Step 3:

[0453] The server uses a generative AI model to create a personalized travel plan based on the user's behavioral data and a list of potential interests. Specifically, prompts are input to the AI ​​model, and the AI ​​calculates the optimal travel schedule according to the user's preferences and conditions. The input for this step is behavioral data and a list of candidates, and the output is a personalized travel plan.

[0454] Step 4:

[0455] The server generates 3D video and audio guides to provide a virtual experience based on the selected travel plan. Specifically, the server uses Unity or Unreal Engine to construct realistic 3D models of tourist attractions and accommodations and incorporates guide information. The input is the travel plan, and the output is virtual reality content.

[0456] Step 5:

[0457] The device provides users with generated 3D images and audio guides, enabling them to rehearse their trip through a virtual experience. This allows users to get a feel for the atmosphere of their travel destination in advance. The input is virtual reality content, and the output is the user's experience and feedback.

[0458] Step 6:

[0459] Users use their devices to share their completed travel plans with other users. Specifically, this involves sending the plan via email or social media, allowing users to gather feedback from those who receive the plan. The input for this step is the travel plan, and the output is the shared plan and the feedback it receives.

[0460] (Application Example 1)

[0461] 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."

[0462] In today's information society, it is difficult for individual users to quickly formulate optimal activity plans based on their interests and preferences, and to visualize those plans concretely. Furthermore, there is a lack of systems that allow users to virtually understand and adjust activity content before actually experiencing it, which makes it difficult for users to feel confident in their activity choices.

[0463] 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.

[0464] In this invention, the server includes means for collecting behavioral data from users, means for comparing the behavioral data with an external information database to generate an individualized activity plan, and means for generating instructional information using virtual reality technology based on the generated activity plan. This makes it possible for users to easily set an activity plan that suits their preferences and virtually experience the activity in advance.

[0465] A "user" is an entity that uses the system to provide behavioral data and receives an activity plan based on its own preferences.

[0466] "Behavioral data" refers to information about a user's past activity history and preferences, and serves as the basic information for the system to formulate personalized plans.

[0467] An "external information database" is a source of information that stores information on a variety of tourist destinations and activities, and is the target of comparison with behavioral data.

[0468] A "personalized activity plan" is a plan that creates an optimal activity schedule for the user based on their behavioral data and external information databases.

[0469] "Virtual reality technology" is a technology that visualizes information using a computer-generated three-dimensional virtual environment, providing users with a preview of the experience.

[0470] "Guidance information" refers to information that provides guidance and explanations to the user in virtual reality in relation to the generated activity plan.

[0471] A "display device" is a device used to visually present virtual reality content to a user.

[0472] The system for implementing this invention provides a personalized activity plan based on the user's behavioral data and visualizes that plan using virtual reality technology. The user first provides the system with data on their preferences and past activity history. This data is entered via a smartphone or PC application. Once data entry is complete, the server receives this behavioral data and compares it with an external information database. The external information database contains information on various tourist destinations and activities, from which activities matching the user's interests are extracted.

[0473] The server uses a generative AI model to generate personalized activity plans tailored to the user. This plan generation process utilizes machine learning algorithms and programming languages ​​such as Python and Node.js. For example, a user who enjoys nature might be suggested activities like forest hiking or park visits. Based on the generated plan, the server creates instructional information using virtual reality technology. Game engines such as Unity are used to construct this virtual space.

[0474] Users can visually review virtual reality-generated travel plans using display devices such as head-mounted displays or smartphones. For example, they can experience detailed 3D models of tourist attractions at their travel destination and listen to audio guides. This allows them to get a feel for the atmosphere of their destination before actually visiting. An example of a prompt might be: "User's travel data: Interested in history and culture. Generate recommended places for a virtual tour: Create a list of places to propose the best travel plan for the user and build a detailed travel plan."

[0475] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0476] Step 1:

[0477] Users access the application using their smartphones or computers and input their preferences and past activity history. This input data includes records of places visited and information about preferred activities. This input data serves as the foundational data for the system's initial processing.

[0478] Step 2:

[0479] The server compares the behavioral data received from the user with an external information database. During the matching process, the server searches for information that matches the user's interests and collects potential tourist destinations and activities. The input is the user's behavioral data, and the output is potential tourist destination data.

[0480] Step 3:

[0481] The server uses a generated AI model to create personalized activity plans based on collected candidate information. The model primarily uses machine learning algorithms to process data and develop plans optimized for user preferences. The input is tourist destination data, and the output is an activity plan tailored to the user.

[0482] Step 4:

[0483] The server generates instructional information using virtual reality technology based on the generated activity plan. In this process, 3D models and interactive content are developed using game engines such as Unity to visualize the plan concretely. The input is an individualized activity plan, and the output is instructional information in a virtual space.

[0484] Step 5:

[0485] The terminal transmits instructional information to a display device, and the user experiences the virtual space on a head-mounted display or smartphone. In actual operation, users can browse virtual tourist destinations and activities, and simulate the travel experience in advance using visuals and sounds. The input is instructional information from virtual reality, and the output is the user's visual and experiential information.

[0486] 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.

[0487] This invention realizes a system that personalizes travel plans by combining an emotion engine that recognizes user emotions. This system collects behavioral data from users, compares it with external travel information to generate personalized travel plans, and has the function of adjusting the plan based on the user's emotional state.

[0488] First, users log into the system and can directly input their emotions, such as expectations and anxieties about their travel destination. The emotion engine then analyzes the user's facial expressions and tone of voice in real time, acquiring emotional data. This allows the system to understand the user's preferences and emotional state at a deeper level.

[0489] Next, the server generates a travel plan tailored to the user's mood based on the acquired emotional data. For example, if the user is feeling stressed, it suggests a relaxing beach resort; if they are excited or adventurous, it generates a plan that includes active outdoor activities. Behavioral data and external travel information databases are also used in this process to further optimize the choices.

[0490] Subsequently, based on the generated travel plan, the server generates travel guide information using VR / AR technology that responds to the user's emotions. For example, if the user is excited, it can provide a virtual experience that emphasizes adventurous scenes.

[0491] The device presents the user with a generated travel plan and virtual experience content. The user can review this and select the optimal travel plan. Furthermore, an emotion engine tracks emotional changes in real time and can adjust the plan as needed.

[0492] This embodiment allows for a deeper understanding of user emotions and the provision of a more personalized travel experience. By receiving planning tailored to their emotions, users can prepare for their trip with peace of mind.

[0493] The following describes the processing flow.

[0494] Step 1:

[0495] Users log into the system and self-report their emotional state. They can also allow the system to measure their emotions in real time by granting permission for their camera and microphone to be used.

[0496] Step 2:

[0497] The server utilizes an emotion engine to analyze the user's facial expressions and voice. This allows it to identify the user's current emotional state (e.g., stress, anxiety, happiness, excitement, etc.).

[0498] Step 3:

[0499] The server integrates behavioral data and emotional states collected from users and cross-references them with an external travel information database. Based on this information, it generates personalized travel plan options that match the user's emotional state.

[0500] Step 4:

[0501] The server further optimizes the travel plans generated based on the user's emotional state. For example, it might suggest a spa resort to a user who needs relaxation, or a trekking tour to a user seeking adventure.

[0502] Step 5:

[0503] The device presents the user with several generated travel plans. The user can browse these plans and choose the one that best suits their emotional state.

[0504] Step 6:

[0505] The server generates emotionally responsive VR / AR travel guide information based on the selected travel plan. If the user is seeking relaxation, it prepares a virtual experience that emphasizes tranquil scenery; if they are seeking excitement, it prepares a virtual experience that highlights dynamic activities.

[0506] Step 7:

[0507] The device provides users with a virtual travel experience using VR / AR technology. This allows them to get a detailed feel for the atmosphere of their destination before they travel.

[0508] Step 8:

[0509] Users have the option to share their chosen travel plans with friends and family, through which they can receive feedback. Their emotional response to the plan provided by the system may also be measured again.

[0510] Step 9:

[0511] The server analyzes collected user feedback and sentiment data to further optimize travel plans, resulting in continuous improvements for individual users.

[0512] (Example 2)

[0513] 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."

[0514] Conventional travel planning systems have faced challenges in quickly presenting plans that fully consider the user's emotions and individual preferences. Furthermore, they lacked dynamic adjustment functions to respond to changes in the user's emotions during the planning stage, resulting in insufficient optimization of the user experience.

[0515] 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.

[0516] In this invention, the server includes means for collecting behavioral and emotional data from users and matching it with an external database to generate personalized travel plans; means for generating information using virtual reality and augmented reality technologies; and means for dynamically adjusting the plan in response to changes in emotions. This enables the provision of personalized travel plans tailored to the user's emotions and preferences, and the optimization of the user experience through real-time adjustments.

[0517] "Behavioral data" refers to information related to a user's behavior, such as their past travel history, movement patterns, and internet search history.

[0518] "Emotional data" refers to information that represents a user's emotional state, obtained from the user's facial expressions, tone of voice, text input, etc.

[0519] "External databases" refer to various information sources that exist on the internet or in the cloud, including information on travel destinations, ratings of tourist attractions, and information on accommodations.

[0520] "Personalized travel planning" refers to travel schedules and suggestions optimized for the individual, generated based on the user's specific behavioral and emotional data.

[0521] "Virtual reality technology" refers to the technology that uses digital technology to create a three-dimensional virtual environment that users can perceive as being in reality.

[0522] Augmented reality technology refers to a technology that adds virtual elements to the real world by overlaying digital information onto the actual environment.

[0523] "Dynamic adjustment" refers to responding in real time to the user's changing emotions and preferences, and flexibly modifying travel plans accordingly.

[0524] "User interface" refers to interactive means, including screens and input devices, that allow users to interact with a system.

[0525] "Real-time" refers to a system processing information and reflecting or presenting it to the user without any time delay.

[0526] "Means of generating income" refers to mechanisms for obtaining monetary rewards through the use of the system or partnerships.

[0527] This invention is a system that personalizes travel plans based on the user's emotions and individual preferences.

[0528] Users log into the system and enter their travel wishes and concerns in text format. In addition, the user's device uses a camera and microphone to capture facial expressions and voice tone in real time, acquiring this as emotion data. This data is processed using emotion recognition software such as "EmotionAPI".

[0529] The server aggregates behavioral and emotional data transmitted from the terminal and cross-references it with an external travel information database. Based on this information, it generates a travel plan optimized for the user. The travel plan includes relaxation and activity suggestions tailored to the user's emotional state. For example, if the user is feeling stressed, the server will offer options including beach resorts.

[0530] Furthermore, the servers use software such as Unity and Unreal Engine to create virtual and augmented reality content based on the generated travel plans. This content is tailored to match the user's emotions; for example, users seeking adventure will be offered simulations of dynamic natural landscapes and active activities.

[0531] The device presents this information to the user through a user interface. The user interface enables interactive operation, making it easier for the user to select and modify their travel plan.

[0532] As a concrete example of a prompt, by sending the input "Suggest a travel plan that includes outdoor activities suitable for when the user is excited" to the generating AI model, the system will provide travel suggestions that satisfy the user's sense of adventure.

[0533] This embodiment allows users to obtain a travel plan that best suits their mood at the time, making the travel preparation process more personal and satisfying.

[0534] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0535] Step 1:

[0536] Users log into the system and input their travel hopes and concerns as text through the terminal's interface. This entered text data is then acquired as the initial data point. Simultaneously, the terminal uses its camera and microphone to capture the user's facial expressions and voice tone, acquiring this as emotion data. This data is then converted into emotion parameters using software such as EmotionAPI.

[0537] Step 2:

[0538] The server receives behavioral and emotional data transmitted from the terminal. Behavioral data includes the user's past travel history and search data, while emotional data is numerical information representing the user's psychological state. The server analyzes this data and uses a data engine to cross-reference it with an external travel information database. This process generates suggested travel destinations and activities optimized for the user's mood.

[0539] Step 3:

[0540] The server uses virtual reality and augmented reality technologies to create synthesized content based on the generated travel plan. Specifically, it uses development platforms such as Unity and Unreal Engine to build virtual tours and simulations of the travel destination. This process takes user emotional data into consideration, for example, to create an environment that is relaxing or an adventurous landscape.

[0541] Step 4:

[0542] The terminal presents the user with travel plans and virtual experience content received from the server via a user interface. As output, the user can review the details of the travel plan and gain a concrete understanding of its contents through visual and auditory experiences. Interactive features allow the user to select plans and modify them as needed.

[0543] Step 5:

[0544] The server receives user feedback and selection information, and the system monitors emotional changes in real time. This allows the travel plan to be dynamically adjusted, and optimal suggestions are made again based on the user's latest emotional state. Through this process, users can enjoy a constantly updated, personalized travel plan.

[0545] (Application Example 2)

[0546] 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."

[0547] Traditional travel planning was based on general trends and did not take user emotions into consideration, making it difficult to personalize plans in response to individual emotional changes. Furthermore, there was a lack of mechanisms to provide users with emotionally tailored plans through virtual experiences, thereby enabling them to achieve deeper satisfaction.

[0548] 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.

[0549] In this invention, the server includes means for acquiring emotional data from the user, means for matching behavioral data with external information resources to generate an individualized plan, and means for generating information using virtual experience technology. This makes it possible to generate a personalized plan that responds to the user's emotions.

[0550] "Emotional data" refers to information that analyzes a user's emotional state and expresses it numerically or qualitatively.

[0551] "Behavioral data" refers to information collected and analyzed from a user's behavioral history and activity patterns.

[0552] "External information resources" refer to databases and information networks that contain travel-related information.

[0553] A "personalized plan" is a travel or activity plan that is customized based on the user's emotional and behavioral data.

[0554] "Virtual experience technology" refers to technologies that use VR (Virtual Reality) and AR (Augmented Reality) to provide users with visual and sensory experiences.

[0555] The system implementing this invention generates personalized plans based on user emotional and behavioral data and provides them using virtual experience technology.

[0556] The server uses the camera and microphone on the user's smart device to analyze the user's facial expressions and voice tone, acquiring emotional data. This emotional data reflects the user's real-time emotional state and is stored in a database along with behavioral data. By cross-referencing this data with external information resources, the server generates personalized travel and activity plans tailored to the user.

[0557] The device utilizes virtual experience technology to visually present the generated plan to the user. Specifically, it uses VR headsets or AR-enabled smart devices to provide users with visual information and experiences based on the plan. For example, if the user is seeking relaxation, they can experience a tranquil beach scene in VR.

[0558] By receiving this information, users can select a plan based on their ideal experience and, if necessary, share it with other users. Furthermore, if the user requests changes, the plan can be modified in response to changes in their emotional data.

[0559] For example, if a user launches the app, smiles at the camera, and says "I want a fun experience" by voice, the generative AI model can recognize the emotion of "fun" and suggest a lively city sightseeing plan to the user. An example of a prompt to the generative AI model would be, "Analyze the photo of the user smiling and talking, and provide the reason for the smile."

[0560] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0561] Step 1:

[0562] The server uses the camera and microphone on the user's smart device to capture the user's facial expressions and voice tone. Receiving the user's video and audio data as input, it generates user emotion data by analyzing this data using an emotion engine. This process applies video processing algorithms and audio analysis techniques to quantify the emotional state.

[0563] Step 2:

[0564] The server comprehensively analyzes acquired sentiment data and behavioral data such as the user's activity history, and compares it with external information resources. Using sentiment data and behavioral data as input, it executes database queries to retrieve relevant information from external sources and generates personalized travel and activity plans. This utilizes recommendation algorithms to select travel destinations and activities that best match the user's sentiments and behavior.

[0565] Step 3:

[0566] The server sends the generated travel plan to the terminal using virtual reality technology, presenting the user with visual information. Here, the generated plan data is input and converted into VR or AR content formats. The output is distributed to the user's terminal as a 360-degree virtual reality experience or an augmented reality tourist guide.

[0567] Step 4:

[0568] The device provides the user with a planned virtual experience, and the user selects an actual travel plan based on that visual information. At this stage, the user can wear a VR headset or enjoy a simulation of the travel destination through an AR application. The input is virtual experience data from the server, and the output is visual and sensory feedback to the user.

[0569] Step 5:

[0570] Users can select or modify plans and send new sentiment data to the server in real time. Using this information as input, the server adjusts the travel plan as needed. In the process, a new plan is generated through a generating AI model and prompt messages.

[0571] Through this process, users receive personalized travel plans based on their emotions, resulting in a satisfying experience.

[0572] 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.

[0573] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One 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.

[0574] 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.

[0575] [Fourth Embodiment]

[0576] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0577] 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.

[0578] 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).

[0579] 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.

[0580] 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.

[0581] 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).

[0582] 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.

[0583] 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 in 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.

[0584] 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.

[0585] 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.

[0586] 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.

[0587] 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.

[0588] 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".

[0589] As a specific embodiment of this invention, we will describe a process for realizing a system that provides an optimized travel plan based on user behavior data and further visualizes the travel experience in advance using virtual reality technology.

[0590] First, the user logs into the system and enters their travel history and preferences. This information is stored internally as behavioral data. The server integrates this behavioral data and cross-references it with external travel information databases. In this process, it gathers suggested destinations and activities that match the user's interests.

[0591] Next, the server utilizes generative AI to generate personalized travel plans tailored to the user. For example, a user who loves nature would be offered a travel plan that includes nature parks and hiking trails. This allows users to obtain a plan based on their interests in the shortest possible time.

[0592] After this, based on the selected travel plan, the server generates virtual travel guide information for the user using VR / AR technology. For example, detailed 3D images and audio guides are created for the selected tourist destinations and accommodations. The terminal displays this information to the user, allowing them to get a feel for the travel experience in advance.

[0593] Furthermore, once a travel plan is finalized, users can use the system to share it with other users. For example, users can send their plans to friends or family and ask for their opinions.

[0594] This embodiment streamlines travel planning, allowing users to prepare for their trips without anxiety. Furthermore, a key advantage of this invention is that users can virtually experience scenes they might encounter at their destination beforehand, enabling them to approach their trip in a relaxed state.

[0595] The following describes the processing flow.

[0596] Step 1:

[0597] Users log in to the system and enter or update their profile information, which includes past travel history, favorite activities, and destinations they wish to visit.

[0598] Step 2:

[0599] The server stores the profile information received from the user as behavioral data in a database. This data is used as material for personalized suggestions for each user.

[0600] Step 3:

[0601] The server accesses external travel information databases to retrieve the latest information, including information on accommodations, tourist attractions, and transportation.

[0602] Step 4:

[0603] The server matches user behavior data and uses generative AI to generate multiple personalized travel plans. This creates the optimal plan that matches the user's specific interests and preferences.

[0604] Step 5:

[0605] The device presents the user with generated travel plans. The user can compare these options and choose the plan that best suits their preferences.

[0606] Step 6:

[0607] The server generates travel guide information using VR / AR technology based on the selected travel plan. Landmarks and activities at the travel destination are reproduced in detail to enable a virtual experience.

[0608] Step 7:

[0609] The device visually displays the generated VR / AR travel guide information to the user. This allows the user to experience the atmosphere of their destination in advance.

[0610] Step 8:

[0611] Users can share their chosen travel plans with other users within the system. This allows them to get feedback on their plans from friends and family.

[0612] Step 9:

[0613] The server manages fees through partnerships with providers of travel-related information and operates the overall revenue model for the system.

[0614] (Example 1)

[0615] 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".

[0616] When planning a trip, there is a problem in that it is difficult to quickly and efficiently select a travel plan that suits individual needs from many options. Furthermore, there is a lack of means to experience the selected travel plan in advance and gain confidence. Because this process is time-consuming and labor-intensive, there is a need for faster travel planning and improved user experience.

[0617] 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.

[0618] In this invention, the server includes means for collecting behavioral data from the user and storing the information; means for comparing the behavioral data with an external database and extracting information on destinations and activities based on interests; means for generating a personalized travel plan suitable for the user using generative AI; and means for generating three-dimensional images and audio guides for a virtual experience based on the selected travel plan. This allows the user to easily obtain a travel plan tailored to their individual needs and to prepare for their trip with peace of mind by virtually experiencing it in advance.

[0619] A "user" refers to a person who accesses the system, inputs their behavioral data and preferences, and plans and shares their travel plans.

[0620] "Behavioral data" refers to data that includes information about a user's past travels and preferences.

[0621] A "database" is a collection of information that includes travel-related information from external sources and is used to match behavioral data.

[0622] "Generative AI" refers to an algorithm or program that uses artificial intelligence technology to generate personalized travel plans based on user behavior data.

[0623] "Personalized travel planning" refers to travel schedules and destination plans that are suggested based on the user's preferences and past behavioral data, tailored to their interests.

[0624] "Virtual experience" refers to technology that gives users the feeling of visiting their chosen travel destination in advance through three-dimensional images and audio guides.

[0625] An "information terminal" refers to a device that displays travel guide information and allows users to view and modify their travel plans.

[0626] This invention is a system that provides users with personalized travel plans and virtual experiences. The following describes embodiments for carrying out the invention.

[0627] Users first log in to the system using an information terminal. This terminal can be a common computer device, such as a PC or smartphone. Users then input their travel history and personal preferences. This information is collected as behavioral data and stored on a server. The server is a high-performance computing system connected to a database.

[0628] Next, the server compares the collected behavioral data with an external database. This database contains information about various destinations and activities. The server uses an SQL database management system to quickly filter and retrieve the necessary data.

[0629] Based on behavioral data and information from external databases, the server uses a generative AI model to create personalized travel plans. The generative AI model uses prompts such as, "Create a 3-day weekend trip to New Zealand for a nature-loving family. Include hiking, lake kayaking, and a family-friendly hot spring visit," to formulate the optimal plan based on the user's preferences and history. These prompts allow the AI ​​model to suggest a travel plan suitable for the user.

[0630] Furthermore, the server uses VR / AR technology to generate a virtual experience based on the selected travel plan. The server utilizes 3D modeling software such as Unity and Unreal Engine to create detailed 3D images and audio guides of tourist attractions and accommodations. The terminal then provides these images and audio to the user, allowing them to experience the travel destination in advance.

[0631] Finally, once a travel plan is complete, users can share it with other users through the system. They can send their plans via email or social media using their devices and receive feedback. This system allows users to efficiently obtain travel plans tailored to their individual needs and prepare for their trip with peace of mind.

[0632] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0633] Step 1:

[0634] Users log in to the system using an information terminal and enter data about their past travel history and preferences. This data includes specific travel destinations, activities, budget, and preferred genres (e.g., nature, culture). This information is sent to the server and recorded in the database. The input in this step is behavioral data provided by the user, and the output is this data stored on the server.

[0635] Step 2:

[0636] The server compares stored behavioral data with information from an external database. Specifically, the server uses SQL queries to retrieve relevant travel destination and activity information from the external database and filters the matched information. The inputs here are behavioral data and information from the external database, and the output is a list of suggested destinations and activities based on interests.

[0637] Step 3:

[0638] The server uses a generative AI model to create a personalized travel plan based on the user's behavioral data and a list of potential interests. Specifically, prompts are input to the AI ​​model, and the AI ​​calculates the optimal travel schedule according to the user's preferences and conditions. The input for this step is behavioral data and a list of candidates, and the output is a personalized travel plan.

[0639] Step 4:

[0640] The server generates 3D video and audio guides to provide a virtual experience based on the selected travel plan. Specifically, the server uses Unity or Unreal Engine to construct realistic 3D models of tourist attractions and accommodations and incorporates guide information. The input is the travel plan, and the output is virtual reality content.

[0641] Step 5:

[0642] The device provides users with generated 3D images and audio guides, enabling them to rehearse their trip through a virtual experience. This allows users to get a feel for the atmosphere of their travel destination in advance. The input is virtual reality content, and the output is the user's experience and feedback.

[0643] Step 6:

[0644] Users use their devices to share their completed travel plans with other users. Specifically, this involves sending the plan via email or social media, allowing users to gather feedback from those who receive the plan. The input for this step is the travel plan, and the output is the shared plan and the feedback it receives.

[0645] (Application Example 1)

[0646] 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".

[0647] In today's information society, it is difficult for individual users to quickly formulate optimal activity plans based on their interests and preferences, and to visualize those plans concretely. Furthermore, there is a lack of systems that allow users to virtually understand and adjust activity content before actually experiencing it, which makes it difficult for users to feel confident in their activity choices.

[0648] 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.

[0649] In this invention, the server includes means for collecting behavioral data from users, means for comparing the behavioral data with an external information database to generate an individualized activity plan, and means for generating instructional information using virtual reality technology based on the generated activity plan. This makes it possible for users to easily set an activity plan that suits their preferences and virtually experience the activity in advance.

[0650] A "user" is an entity that uses the system to provide behavioral data and receives an activity plan based on its own preferences.

[0651] "Behavioral data" refers to information about a user's past activity history and preferences, and serves as the basic information for the system to formulate personalized plans.

[0652] An "external information database" is a source of information that stores information on a variety of tourist destinations and activities, and is the target of comparison with behavioral data.

[0653] A "personalized activity plan" is a plan that creates an optimal activity schedule for the user based on their behavioral data and external information databases.

[0654] "Virtual reality technology" is a technology that visualizes information using a computer-generated three-dimensional virtual environment, providing users with a preview of the experience.

[0655] "Guidance information" refers to information that provides guidance and explanations to the user in virtual reality in relation to the generated activity plan.

[0656] A "display device" is a device used to visually present virtual reality content to a user.

[0657] The system for implementing this invention provides a personalized activity plan based on the user's behavioral data and visualizes that plan using virtual reality technology. The user first provides the system with data on their preferences and past activity history. This data is entered via a smartphone or PC application. Once data entry is complete, the server receives this behavioral data and compares it with an external information database. The external information database contains information on various tourist destinations and activities, from which activities matching the user's interests are extracted.

[0658] The server uses a generative AI model to generate personalized activity plans tailored to the user. This plan generation process utilizes machine learning algorithms and programming languages ​​such as Python and Node.js. For example, a user who enjoys nature might be suggested activities like forest hiking or park visits. Based on the generated plan, the server creates instructional information using virtual reality technology. Game engines such as Unity are used to construct this virtual space.

[0659] Users can visually review virtual reality-generated travel plans using display devices such as head-mounted displays or smartphones. For example, they can experience detailed 3D models of tourist attractions at their travel destination and listen to audio guides. This allows them to get a feel for the atmosphere of their destination before actually visiting. An example of a prompt might be: "User's travel data: Interested in history and culture. Generate recommended places for a virtual tour: Create a list of places to propose the best travel plan for the user and build a detailed travel plan."

[0660] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0661] Step 1:

[0662] Users access the application using their smartphones or computers and input their preferences and past activity history. This input data includes records of places visited and information about preferred activities. This input data serves as the foundational data for the system's initial processing.

[0663] Step 2:

[0664] The server compares the behavioral data received from the user with an external information database. During the matching process, the server searches for information that matches the user's interests and collects potential tourist destinations and activities. The input is the user's behavioral data, and the output is potential tourist destination data.

[0665] Step 3:

[0666] The server uses a generated AI model to create personalized activity plans based on collected candidate information. The model primarily uses machine learning algorithms to process data and develop plans optimized for user preferences. The input is tourist destination data, and the output is an activity plan tailored to the user.

[0667] Step 4:

[0668] The server generates instructional information using virtual reality technology based on the generated activity plan. In this process, 3D models and interactive content are developed using game engines such as Unity to visualize the plan concretely. The input is an individualized activity plan, and the output is instructional information in a virtual space.

[0669] Step 5:

[0670] The terminal transmits instructional information to a display device, and the user experiences the virtual space on a head-mounted display or smartphone. In actual operation, users can browse virtual tourist destinations and activities, and simulate the travel experience in advance using visuals and sounds. The input is instructional information from virtual reality, and the output is the user's visual and experiential information.

[0671] 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.

[0672] This invention realizes a system that personalizes travel plans by combining an emotion engine that recognizes user emotions. This system collects behavioral data from users, compares it with external travel information to generate personalized travel plans, and has the function of adjusting the plan based on the user's emotional state.

[0673] First, users log into the system and can directly input their emotions, such as expectations and anxieties about their travel destination. The emotion engine then analyzes the user's facial expressions and tone of voice in real time, acquiring emotional data. This allows the system to understand the user's preferences and emotional state at a deeper level.

[0674] Next, the server generates a travel plan tailored to the user's mood based on the acquired emotional data. For example, if the user is feeling stressed, it suggests a relaxing beach resort; if they are excited or adventurous, it generates a plan that includes active outdoor activities. Behavioral data and external travel information databases are also used in this process to further optimize the choices.

[0675] Subsequently, based on the generated travel plan, the server generates travel guide information using VR / AR technology that responds to the user's emotions. For example, if the user is excited, it can provide a virtual experience that emphasizes adventurous scenes.

[0676] The device presents the user with a generated travel plan and virtual experience content. The user can review this and select the optimal travel plan. Furthermore, an emotion engine tracks emotional changes in real time and can adjust the plan as needed.

[0677] This embodiment allows for a deeper understanding of user emotions and the provision of a more personalized travel experience. By receiving planning tailored to their emotions, users can prepare for their trip with peace of mind.

[0678] The following describes the processing flow.

[0679] Step 1:

[0680] Users log into the system and self-report their emotional state. They can also allow the system to measure their emotions in real time by granting permission for their camera and microphone to be used.

[0681] Step 2:

[0682] The server utilizes an emotion engine to analyze the user's facial expressions and voice. This allows it to identify the user's current emotional state (e.g., stress, anxiety, happiness, excitement, etc.).

[0683] Step 3:

[0684] The server integrates behavioral data and emotional states collected from users and cross-references them with an external travel information database. Based on this information, it generates personalized travel plan options that match the user's emotional state.

[0685] Step 4:

[0686] The server further optimizes the travel plans generated based on the user's emotional state. For example, it might suggest a spa resort to a user who needs relaxation, or a trekking tour to a user seeking adventure.

[0687] Step 5:

[0688] The device presents the user with several generated travel plans. The user can browse these plans and choose the one that best suits their emotional state.

[0689] Step 6:

[0690] The server generates emotionally responsive VR / AR travel guide information based on the selected travel plan. If the user is seeking relaxation, it prepares a virtual experience that emphasizes tranquil scenery; if they are seeking excitement, it prepares a virtual experience that highlights dynamic activities.

[0691] Step 7:

[0692] The device provides users with a virtual travel experience using VR / AR technology. This allows them to get a detailed feel for the atmosphere of their destination before they travel.

[0693] Step 8:

[0694] Users have the option to share their chosen travel plans with friends and family, through which they can receive feedback. Their emotional response to the plan provided by the system may also be measured again.

[0695] Step 9:

[0696] The server analyzes collected user feedback and sentiment data to further optimize travel plans, resulting in continuous improvements for individual users.

[0697] (Example 2)

[0698] 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".

[0699] Conventional travel planning systems have faced challenges in quickly presenting plans that fully consider the user's emotions and individual preferences. Furthermore, they lacked dynamic adjustment functions to respond to changes in the user's emotions during the planning stage, resulting in insufficient optimization of the user experience.

[0700] 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.

[0701] In this invention, the server includes means for collecting behavioral and emotional data from users and matching it with an external database to generate personalized travel plans; means for generating information using virtual reality and augmented reality technologies; and means for dynamically adjusting the plan in response to changes in emotions. This enables the provision of personalized travel plans tailored to the user's emotions and preferences, and the optimization of the user experience through real-time adjustments.

[0702] "Behavioral data" refers to information related to a user's behavior, such as their past travel history, movement patterns, and internet search history.

[0703] "Emotional data" refers to information that represents a user's emotional state, obtained from the user's facial expressions, tone of voice, text input, etc.

[0704] "External databases" refer to various information sources that exist on the internet or in the cloud, including information on travel destinations, ratings of tourist attractions, and information on accommodations.

[0705] "Personalized travel planning" refers to travel schedules and suggestions optimized for the individual, generated based on the user's specific behavioral and emotional data.

[0706] "Virtual reality technology" refers to the technology that uses digital technology to create a three-dimensional virtual environment that users can perceive as being in reality.

[0707] Augmented reality technology refers to a technology that adds virtual elements to the real world by overlaying digital information onto the actual environment.

[0708] "Dynamic adjustment" refers to responding in real time to the user's changing emotions and preferences, and flexibly modifying travel plans accordingly.

[0709] "User interface" refers to interactive means, including screens and input devices, that allow users to interact with a system.

[0710] "Real-time" refers to a system processing information and reflecting or presenting it to the user without any time delay.

[0711] "Means of generating income" refers to mechanisms for obtaining monetary rewards through the use of the system or partnerships.

[0712] This invention is a system that personalizes travel plans based on the user's emotions and individual preferences.

[0713] Users log into the system and enter their travel wishes and concerns in text format. In addition, the user's device uses a camera and microphone to capture facial expressions and voice tone in real time, acquiring this as emotion data. This data is processed using emotion recognition software such as "EmotionAPI".

[0714] The server aggregates behavioral and emotional data transmitted from the terminal and cross-references it with an external travel information database. Based on this information, it generates a travel plan optimized for the user. The travel plan includes relaxation and activity suggestions tailored to the user's emotional state. For example, if the user is feeling stressed, the server will offer options including beach resorts.

[0715] Furthermore, the servers use software such as Unity and Unreal Engine to create virtual and augmented reality content based on the generated travel plans. This content is tailored to match the user's emotions; for example, users seeking adventure will be offered simulations of dynamic natural landscapes and active activities.

[0716] The device presents this information to the user through a user interface. The user interface enables interactive operation, making it easier for the user to select and modify their travel plan.

[0717] As a concrete example of a prompt, by sending the input "Suggest a travel plan that includes outdoor activities suitable for when the user is excited" to the generating AI model, the system will provide travel suggestions that satisfy the user's sense of adventure.

[0718] This embodiment allows users to obtain a travel plan that best suits their mood at the time, making the travel preparation process more personal and satisfying.

[0719] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0720] Step 1:

[0721] Users log into the system and input their travel hopes and concerns as text through the terminal's interface. This entered text data is then acquired as the initial data point. Simultaneously, the terminal uses its camera and microphone to capture the user's facial expressions and voice tone, acquiring this as emotion data. This data is then converted into emotion parameters using software such as EmotionAPI.

[0722] Step 2:

[0723] The server receives behavioral and emotional data transmitted from the terminal. Behavioral data includes the user's past travel history and search data, while emotional data is numerical information representing the user's psychological state. The server analyzes this data and uses a data engine to cross-reference it with an external travel information database. This process generates suggested travel destinations and activities optimized for the user's mood.

[0724] Step 3:

[0725] The server uses virtual reality and augmented reality technologies to create synthesized content based on the generated travel plan. Specifically, it uses development platforms such as Unity and Unreal Engine to build virtual tours and simulations of the travel destination. This process takes user emotional data into consideration, for example, to create an environment that is relaxing or an adventurous landscape.

[0726] Step 4:

[0727] The terminal presents the user with travel plans and virtual experience content received from the server via a user interface. As output, the user can review the details of the travel plan and gain a concrete understanding of its contents through visual and auditory experiences. Interactive features allow the user to select plans and modify them as needed.

[0728] Step 5:

[0729] The server receives user feedback and selection information, and the system monitors emotional changes in real time. This allows the travel plan to be dynamically adjusted, and optimal suggestions are made again based on the user's latest emotional state. Through this process, users can enjoy a constantly updated, personalized travel plan.

[0730] (Application Example 2)

[0731] 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".

[0732] Traditional travel planning was based on general trends and did not take user emotions into consideration, making it difficult to personalize plans in response to individual emotional changes. Furthermore, there was a lack of mechanisms to provide users with emotionally tailored plans through virtual experiences, thereby enabling them to achieve deeper satisfaction.

[0733] 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.

[0734] In this invention, the server includes means for acquiring emotional data from the user, means for matching behavioral data with external information resources to generate an individualized plan, and means for generating information using virtual experience technology. This makes it possible to generate a personalized plan that responds to the user's emotions.

[0735] "Emotional data" refers to information that analyzes a user's emotional state and expresses it numerically or qualitatively.

[0736] "Behavioral data" refers to information collected and analyzed from a user's behavioral history and activity patterns.

[0737] "External information resources" refer to databases and information networks that contain travel-related information.

[0738] A "personalized plan" is a travel or activity plan that is customized based on the user's emotional and behavioral data.

[0739] "Virtual experience technology" refers to technologies that use VR (Virtual Reality) and AR (Augmented Reality) to provide users with visual and sensory experiences.

[0740] The system implementing this invention generates personalized plans based on user emotional and behavioral data and provides them using virtual experience technology.

[0741] The server uses the camera and microphone on the user's smart device to analyze the user's facial expressions and voice tone, acquiring emotional data. This emotional data reflects the user's real-time emotional state and is stored in a database along with behavioral data. By cross-referencing this data with external information resources, the server generates personalized travel and activity plans tailored to the user.

[0742] The device utilizes virtual experience technology to visually present the generated plan to the user. Specifically, it uses VR headsets or AR-enabled smart devices to provide users with visual information and experiences based on the plan. For example, if the user is seeking relaxation, they can experience a tranquil beach scene in VR.

[0743] By receiving this information, users can select a plan based on their ideal experience and, if necessary, share it with other users. Furthermore, if the user requests changes, the plan can be modified in response to changes in their emotional data.

[0744] For example, if a user launches the app, smiles at the camera, and says "I want a fun experience" by voice, the generative AI model can recognize the emotion of "fun" and suggest a lively city sightseeing plan to the user. An example of a prompt to the generative AI model would be, "Analyze the photo of the user smiling and talking, and provide the reason for the smile."

[0745] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0746] Step 1:

[0747] The server uses the camera and microphone on the user's smart device to capture the user's facial expressions and voice tone. Receiving the user's video and audio data as input, it generates user emotion data by analyzing this data using an emotion engine. This process applies video processing algorithms and audio analysis techniques to quantify the emotional state.

[0748] Step 2:

[0749] The server comprehensively analyzes acquired sentiment data and behavioral data such as the user's activity history, and compares it with external information resources. Using sentiment data and behavioral data as input, it executes database queries to retrieve relevant information from external sources and generates personalized travel and activity plans. This utilizes recommendation algorithms to select travel destinations and activities that best match the user's sentiments and behavior.

[0750] Step 3:

[0751] The server sends the generated travel plan to the terminal using virtual reality technology, presenting the user with visual information. Here, the generated plan data is input and converted into VR or AR content formats. The output is distributed to the user's terminal as a 360-degree virtual reality experience or an augmented reality tourist guide.

[0752] Step 4:

[0753] The device provides the user with a planned virtual experience, and the user selects an actual travel plan based on that visual information. At this stage, the user can wear a VR headset or enjoy a simulation of the travel destination through an AR application. The input is virtual experience data from the server, and the output is visual and sensory feedback to the user.

[0754] Step 5:

[0755] Users can select or modify plans and send new sentiment data to the server in real time. Using this information as input, the server adjusts the travel plan as needed. In the process, a new plan is generated through a generating AI model and prompt messages.

[0756] Through this process, users receive personalized travel plans based on their emotions, resulting in a satisfying experience.

[0757] 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.

[0758] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One 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.

[0759] 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.

[0760] 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.

[0761] 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.

[0762] 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.

[0763] 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.

[0764] 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.

[0765] 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."

[0766] 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.

[0767] 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.

[0768] 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.

[0769] 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.

[0770] 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.

[0771] 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.

[0772] 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.

[0773] 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.

[0774] 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.

[0775] 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.

[0776] 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.

[0777] 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.

[0778] The following is further disclosed regarding the embodiments described above.

[0779] (Claim 1)

[0780] Means of collecting behavioral data from users,

[0781] A means for matching behavioral data with external travel information databases to generate personalized travel plans,

[0782] A means for generating travel guide information using virtual reality technology based on a generated travel plan,

[0783] A means of presenting a series of pieces of information to the user, and allowing the user to select and share travel plans,

[0784] A system that includes this.

[0785] (Claim 2)

[0786] The system according to claim 1, comprising a terminal for displaying travel guide information and means for modifying a travel plan through a user interface.

[0787] (Claim 3)

[0788] The system according to claim 1, which includes means of receiving fees from providers of travel-related information and obtaining advertising and partnership revenue.

[0789] "Example 1"

[0790] (Claim 1)

[0791] A means of collecting behavioral data from users and storing the information,

[0792] A means of matching behavioral data with external databases to extract information on destinations and activities based on interests,

[0793] A means of generating personalized travel plans suitable for the user using generative AI,

[0794] A means for generating three-dimensional images and audio guides for a virtual experience based on a selected travel plan,

[0795] A means of presenting a series of pieces of information to the user and sharing the plan with other users,

[0796] A system that includes this.

[0797] (Claim 2)

[0798] The system according to claim 1, comprising means for providing an information terminal for displaying travel guide information and enabling a user to modify a travel plan via an interface.

[0799] (Claim 3)

[0800] The system according to claim 1, comprising means of receiving compensation from information providers and obtaining profits based on advertising and collaboration.

[0801] "Application Example 1"

[0802] (Claim 1)

[0803] Means of collecting behavioral data from users,

[0804] A means for matching behavioral data with an external information database to generate an individualized activity plan,

[0805] A means for generating instructional information using virtual reality technology based on the generated activity plan,

[0806] A means of presenting a series of information to the user on a virtual platform, and allowing the user to select and modify an activity plan,

[0807] A system that includes this.

[0808] (Claim 2)

[0809] The system according to claim 1, comprising a display device for displaying instructional information and means for modifying an activity plan through a user interface.

[0810] (Claim 3)

[0811] The system according to claim 1, which includes means of receiving compensation from providers of relevant information and obtaining advertising and partnership revenue.

[0812] "Example 2 of combining an emotion engine"

[0813] (Claim 1)

[0814] A means of collecting behavioral and emotional data from users,

[0815] A means for matching behavioral data, emotional data, and external databases to generate personalized travel plans,

[0816] A means for generating information using virtual reality and augmented reality technologies based on the generated travel plan,

[0817] A means of dynamically adjusting the generated plan in response to changes in emotions,

[0818] A means of presenting a series of pieces of information to the user and allowing the user to select and modify a plan,

[0819] A system that includes this.

[0820] (Claim 2)

[0821] The system according to claim 1, comprising means for displaying information and interactively modifying a plan through a user interface.

[0822] (Claim 3)

[0823] The system according to claim 1, including means of receiving compensation from information providers and generating income.

[0824] "Application example 2 when combining with an emotional engine"

[0825] (Claim 1)

[0826] Means of obtaining emotional data from users,

[0827] Means of collecting behavioral data from users,

[0828] A means for matching emotional data and behavioral data with external information resources to generate personalized plans,

[0829] A means for generating information using virtual experience technology based on the generated plan,

[0830] A means of presenting a series of pieces of information to the user, and allowing the user to select and share a plan,

[0831] A system that includes this.

[0832] (Claim 2)

[0833] The system according to claim 1, comprising means for modifying a plan based on changes in emotional data.

[0834] (Claim 3)

[0835] The system according to claim 1, comprising means of receiving fees from information providers and generating revenue from advertising and partnerships. [Explanation of Symbols]

[0836] 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. Means of collecting behavioral data from users, A means for matching behavioral data with external travel information databases to generate personalized travel plans, A means for generating travel guide information using virtual reality technology based on a generated travel plan, A means of presenting a series of pieces of information to the user, and allowing the user to select and share travel plans, A system that includes this.

2. The system according to claim 1, comprising a terminal for displaying travel guide information and means for modifying a travel plan through a user interface.

3. The system according to claim 1, which includes means of receiving fees from providers of travel-related information and obtaining advertising revenue and partnership revenue.

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