system

Abstract

We provide the system. [Solution] A generation means that receives preference information entered by the user and generates a travel plan based on said preference information, Means for selecting or generating virtual experience content related to the aforementioned travel plan, A means for providing the generated travel plan and selected or generated virtual experience content, 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 method for controlling a persona chatbot, which is 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] In conventional travel services, it has been difficult to provide personalized travel plans according to individual preferences of users, and there has been a problem that it is difficult to obtain actual travel experiences due to cost and time constraints. In addition, there has been a lack of a method for effectively combining real travel and virtual experiences, and it has been impossible to meet diverse user needs.

Means for Solving the Problems

[0005] This invention provides a means for receiving preference information input from a user and generating a travel plan using a generation AI model based on that information. Furthermore, by combining this with a means for selecting or generating virtual experience content related to the travel plan and providing the generated travel plan and virtual experience content to the user, it realizes a travel experience that blends the real and virtual worlds to meet the individual needs of the user.

[0006] A "user" is an individual or group that uses the system to generate travel plans or participate in virtual experiences.

[0007] "Preference information" refers to data about an individual's interests and preferences that they wish to have reflected in their travel plans.

[0008] "Generation means" refers to a process or system equipped with the function of creating travel plans based on user preference information.

[0009] A "travel plan" is a detailed plan of a trip that includes the destination, order of visits, activities, budget, and other details.

[0010] "Virtual experience content" refers to digital content about tourist destinations and activities that are generated or selected using XR technology and can be virtually experienced by users.

[0011] "Means of selection or generation" refers to a process or system equipped with the functionality to select or create optimal virtual experience content related to the user's travel plan.

[0012] "Means of delivery" refers to a process or system that has the functionality to present and make accessible to users the generated travel plans and virtual experience content. [Brief explanation of the drawing]

[0013] [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] This is a sequence diagram showing the processing flow of the data processing system in Application Example 2, which combines an emotion engine. [Modes for carrying out the invention]

[0014] Hereinafter, an example of an embodiment of the system relating to the technology of this disclosure will be described with reference to the attached drawings.

[0015] First, the terms used in the following description will be explained.

[0016] In the following embodiments, a tagged 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.

[0017] In the following embodiments, a tagged RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0018] In the following embodiments, a tagged 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, and the like.

[0019] In the following embodiments, a tagged communication I / F (Interface) is an interface including a communication processor and an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark), and the like.

[0020] 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."

[0021] [First Embodiment]

[0022] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0023] 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.

[0024] 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).

[0025] 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.

[0026] 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.

[0027] 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.

[0028] 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.

[0029] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0030] 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.

[0031] 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.

[0032] 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.

[0033] 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".

[0034] The primary objective of the present invention is to generate travel plans tailored to the user's preferences and to provide virtual experiences related to those plans. This allows users to enjoy a combination of real-world travel experiences and virtual experiences.

[0035] First, the user inputs their preferences, such as interests, budget, and desired travel style, through their device. This information is then sent from the device to the server. The server uses this preference information obtained from the user and leverages a generative AI model to generate a personalized travel plan. The generated travel plan includes sightseeing destinations, recommended activities, and a travel itinerary.

[0036] Next, the server selects or generates appropriate virtual experience content based on the generated travel plan. If selecting from an existing content library, it searches for and selects virtual experiences relevant to the travel plan. Furthermore, if the user has specific requests, it is possible to create a newly personalized virtual sightseeing experience using the generation AI.

[0037] The server then converts the generated travel plan and selected or generated virtual experience content into a format suitable for the user's device. This improves display efficiency on the user's device and allows for a smoother experience.

[0038] Users can review travel plans and virtual experiences generated through their devices. By virtually experiencing destinations beforehand, they can deepen their understanding of and anticipation for unfamiliar tourist spots.

[0039] For example, if a user wants to explore a historical tourist site, the server can provide a travel plan that takes them to historical landmarks and generate an XR experience that recreates past events. In this way, users can learn in advance through virtual experiences, further enhancing their enjoyment of their visit to the actual location.

[0040] As described above, the system of the present invention makes it possible to integrate real-world travel with virtual experiences and provide users with a cost-effective, diverse, and enriching travel experience.

[0041] The following describes the processing flow.

[0042] Step 1:

[0043] The user uses a device to input information about their travel preferences. This information includes desired destinations, activities of interest, budget, and travel dates. Once the input is complete, the device sends this information to the server.

[0044] Step 2:

[0045] The server analyzes the received user preference information and calls a generation AI model to generate a personalized travel plan. The generated travel plan includes suggested tourist destinations based on the user's interests, recommended routes, and estimated costs.

[0046] Step 3:

[0047] The server selects virtual experience content corresponding to the generated travel plan. It searches for and selects an appropriate virtual experience from the content library, but if there is a special request, it uses a generation AI to create a new virtual experience.

[0048] Step 4:

[0049] The server converts travel plans and selected or generated virtual experience content into a format suitable for the user's device. This includes processes such as data compression and encoding to make it suitable for display on the device.

[0050] Step 5:

[0051] The device receives travel plans and virtual experience content sent from the server and presents them visually to the user. The user can then review the provided plan on the device and begin the virtual experience.

[0052] Step 6:

[0053] After the trip, users input feedback about their actual and virtual travel experiences through their device. This feedback is sent to a server, which uses it to improve the generated AI model.

[0054] (Example 1)

[0055] 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."

[0056] In personalizing travel plans and providing virtual experiences, conventional systems have been unable to adequately accommodate the diverse preferences of users, and it has been difficult for users to gain a concrete experience of their destination before traveling. As a result, users risk wasting budget and time, and the quality of their travel experience suffers.

[0057] 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.

[0058] In this invention, the server includes means for receiving preference information input from a user and generating a travel plan based on said preference information; means for selecting or generating virtual experience data related to the travel plan; means for converting the generated travel plan and the selected or generated virtual experience data into a format suitable for the user terminal and providing it; and means for using a generative artificial intelligence model for selecting or generating the travel plan and virtual experience data. This makes it possible to personalize travel plans according to the diverse preferences of users and to provide virtual experiences in advance.

[0059] A "user" refers to an individual or group that uses an information system to generate a travel plan and obtain a virtual experience based on it.

[0060] "Preference information" refers to data that indicates individualized needs and preferences that should be considered when planning a trip, such as a user's interests, budget, and travel style.

[0061] A "travel plan" is a proposed outline of the entire trip, including destinations, activities, and itinerary, generated based on the user's preferences.

[0062] "Virtual experience data" refers to digital content that represents computer-generated experiences provided for the purpose of mimicking or complementing actual travel.

[0063] "Generative artificial intelligence models" refer to algorithms and machine learning models used to generate optimal travel plans and virtual experience data using user preference information as input.

[0064] A "terminal" refers to an electronic device used by a user to input information and receive and display generated travel plans and virtual experience data.

[0065] A "server" refers to a computer system that processes information and manages the sending and receiving of data to and from terminals.

[0066] "Means" refer to the technical steps, methods, or processes used to achieve a particular objective.

[0067] This invention is a system that generates travel plans based on user preference information and provides related virtual experiences. Users input preference information such as interests, budget, and travel style using a terminal. This allows the user's needs and desires to be concretely expressed.

[0068] The terminal encrypts the entered preference information using the SSL / TLS protocol and sends it to the server. The server generates a travel plan based on the received preference information using a generative artificial intelligence model. This model employs machine learning algorithms. The generated travel plan includes destinations, recommended activities, and itinerary.

[0069] Next, the server selects or generates virtual experience data related to the travel plan. This may involve selecting an appropriate experience from an existing content library, or it may use a generative artificial intelligence model to generate a new virtual experience tailored to the user. For example, if the user wants to visit a historical tourist site, the server will generate a virtual experience that recreates past events.

[0070] The generated travel plans and virtual experience data are converted to a format optimized for the device and provided to the user. This conversion utilizes data format conversion technology to ensure smooth display on the device screen. Users can visually review the generated travel plans and virtual experiences through their devices and use them as preparation for their actual trips.

[0071] An example of a prompt message would be: "The user has entered that they want to visit historical tourist sites. Their budget is moderate, and their area of ​​interest is ancient civilizations. Please generate a travel plan and associated virtual experience based on this." This allows for the provision of high-quality travel plans and virtual experiences that meet the user's expectations.

[0072] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0073] Step 1:

[0074] The user enters preference information using a terminal. This information includes travel destinations, activities of interest, and budget ranges. The entered information is used as basic data for the next processing step.

[0075] Step 2:

[0076] The device sends the entered preference information to the server. HTTP requests are used for transmission, and the information is encrypted using SSL / TLS to ensure data security. As a result, the preference information reaches the server safely.

[0077] Step 3:

[0078] The server analyzes the received preference information and generates a suitable travel plan using a generative artificial intelligence model. Specifically, it inputs prompts into the AI ​​model based on the user's interests and budget, and outputs a plan that includes destinations, activities, and a schedule.

[0079] Step 4:

[0080] The server selects or generates virtual experience data based on the generated travel plan. This may involve selecting relevant experiences from an existing content library, or generating new virtual experiences using AI models based on specific requirements. The selected data serves as output that adds depth to the travel plan.

[0081] Step 5:

[0082] The server converts travel plans and virtual experience data into a format that can be properly displayed on the device. Specifically, it performs data format conversion, converting JSON data into HTML or XML format that can be displayed on the device. This process reduces user stress related to the display.

[0083] Step 6:

[0084] Users view the travel plan and virtual experience displayed on their device. They can access detailed information by scrolling or tapping and try out the provided virtual experience. As a result, users gain a deeper understanding of their destination before actually traveling.

[0085] (Application Example 1)

[0086] 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."

[0087] The challenge lies in integrating real-world travel with virtual experiences, providing a system that allows users to browse and purchase products through a virtual environment. Conventional travel planning systems only provide plans based on user preferences and lack a way to enable pre-purchase shopping experiences in a virtual environment.

[0088] 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.

[0089] In this invention, the server includes a generation means for receiving preference information input by a user and generating a travel plan based on said preference information; a means for selecting or generating virtual experience content related to the travel plan; a provision means for providing the generated travel plan and the selected or generated virtual experience content; and a virtual purchase means for browsing and purchasing products in a virtual environment. This makes it possible for the user to smoothly purchase related products while engaging in various virtual experiences related to the travel plan in advance.

[0090] A "user" is an entity that inputs preference information into a system and receives a virtual experience.

[0091] "Preference information" refers to information about a user's interests, budget, and travel style that they provide to generate a travel plan.

[0092] A "travel plan" is a travel plan that includes destinations and recommended activities generated based on preferences.

[0093] A "generation means" is a means that has the function of receiving user preference information and generating a travel plan based on that information.

[0094] "Virtual experience content" refers to content that provides virtual sightseeing and shopping experiences related to travel planning.

[0095] "Means of selection or generation" refers to means of selecting or newly generating appropriate virtual experience content in relation to a travel plan.

[0096] "Means of delivery" refers to the means of providing users with the generated travel plans and virtual experience content.

[0097] A "virtual environment" is a virtual space where users can experience sightseeing and shopping as if they were in real life.

[0098] A "virtual purchasing method" is a means that enables users to browse and purchase products in a virtual environment.

[0099] The system for implementing this invention generates travel plans based on user preferences and provides a virtual experience. First, the user inputs preference information such as their interests, budget, and desired travel style using a terminal. This information is then transmitted from the terminal to the server.

[0100] The server generates personalized travel plans using a generative AI model based on user preference information. For example, OpenAI's GPT is used as this generative AI model. The generated travel plan includes destinations to visit and recommended activities.

[0101] Next, the server selects or generates virtual experience content related to the travel plan. It either selects a relevant virtual experience from an existing content library or creates a new virtual travel experience using a generation AI according to the user's specific requests.

[0102] The generated travel plans and virtual experience content are converted to a format suitable for the user's device, depending on the delivery method. Specifically, a virtual environment built using Unity is displayed on the device. Users can experience places and related products through the virtual space using a VR headset such as the Oculus Quest 2.

[0103] Furthermore, virtual purchasing methods allow users to browse and purchase products within a virtual environment. For example, users can experience a virtual tour of Paris and purchase local specialties featured in the tour from a virtual store.

[0104] As a concrete example, consider a case where a user enters "I am interested in an Italian wine tour." In this case, the server generates a virtual tour of famous Italian wine-producing regions and introduces the specialty products of the relevant wineries within the virtual environment.

[0105] Examples of prompt statements include the following:

[0106] "The user is interested in an Italian wine tour, has a moderate budget, and wants to visit places where they can sample wine. Please generate a travel plan that meets these conditions."

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

[0108] Step 1:

[0109] Users use their devices to input their preferences. This information includes places of interest, travel budget, and desired experience style. The entered data is formatted into JSON or another format and sent to the server.

[0110] Step 2:

[0111] The server creates and sends a prompt message to the generating AI model based on the received preference information. The generating AI model analyzes this prompt message and generates travel plan data that matches the user's preferences. The data processing performed by the AI ​​includes generating tourist destination and activity information related to the user's request and constructing the plan data. The output of this process is the travel plan data.

[0112] Step 3:

[0113] The server selects or generates virtual experience content to be associated with the generated travel plan data. It searches for relevant virtual experiences from the content library and selects the most suitable content. It performs data calculations to obtain positive feedback and selects the content that best matches the user request. The output is virtual experience content data.

[0114] Step 4:

[0115] The server converts the generated travel plan and virtual experience content into a format suitable for the user's device. This format conversion includes processing to create datasets compatible with 3D viewers and VR environments. The input for this step is the plan data and content data, and the output is the converted data format.

[0116] Step 5:

[0117] The terminal uses the converted data received from the server to recreate the virtual environment for the user. The user, using a VR headset, can visit planned tourist destinations within the virtual space and browse and purchase related products. The output of this step is a visual and interactive user experience.

[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] The present invention aims to provide a more personalized travel experience by combining the generation of travel plans based on user preferences with an emotion engine that recognizes user emotions.

[0120] When users input travel preferences through their devices, their emotions are recognized in real time through visual and voice input. The emotion engine analyzes facial expressions and tone of voice to determine the user's emotional state. This determination is sent to the server and used to generate travel plans. For example, if a user indicates a desire for a relaxing trip, the server can generate a plan to visit a quiet resort.

[0121] The server integrates the emotion recognition results into a generating AI model to create a travel plan that takes the user's emotional state into account. This plan includes tourist destinations and activities that fit the user's emotions and can be adjusted as needed while reviewing real-time emotion analysis results.

[0122] Furthermore, the server reflects the results of the emotion engine when selecting or generating virtual experience content that corresponds to the travel plan. For example, if the user shows excitement or curiosity, adventure experience content will be selected. On the other hand, if the user is in a calm mood, content that promotes relaxation will be selected.

[0123] The server then converts this information into a format suitable for the user's device, enabling smooth display and operation on the device. Users can enjoy the generated travel plan and virtual experience on their device, and the emotion engine can adaptively optimize the experience by recognizing changes in their emotions immediately before and during the trip.

[0124] For example, if a user expresses interest in a beach resort and indicates a calm mood during input, the server will suggest a relaxation plan that includes reading and massage on the beach. In this case, virtual experience content that allows users to enjoy the sound of waves and beachside scenery will be selected.

[0125] In this way, the system of the present invention can provide users with a more deeply satisfying travel experience through the recognition and application of emotions.

[0126] The following describes the processing flow.

[0127] Step 1:

[0128] Users input travel preference information using their device. This information includes places they want to visit, desired activities, budget, and travel dates. The device also uses a camera and microphone to capture the user's facial expressions and voice in real time, and an emotion engine recognizes the user's emotions.

[0129] Step 2:

[0130] The device sends the results of emotion recognition to the server along with the user's preference information. The server analyzes the received information and, based on the output of the emotion engine, understands the user's current emotional state. This information is taken into consideration in the travel plan generation process.

[0131] Step 3:

[0132] The server uses a generative AI model to generate travel plans based on user preference information and emotional data. For example, if a user indicates a calm emotional state, the plan will focus on relaxing activities. Conversely, if an excited emotional state is detected, the plan will recommend active activities.

[0133] Step 4:

[0134] The server selects or generates virtual experience content related to the travel plan. The selection process incorporates the results of emotion recognition, aiming to provide an experience that matches the user's emotions. For example, it selects content that prioritizes a sense of security or content that enhances excitement, ensuring a harmonious emotional experience.

[0135] Step 5:

[0136] The server converts the generated travel plan and virtual experience content into a format suitable for the user's device. This allows the device to smoothly play and display the content. After format conversion, the server sends this data to the device.

[0137] Step 6:

[0138] The device receives data sent from the server and presents it to the user visually. The user can view the travel plan on the device and enjoy a virtual experience that responds to their emotions. If their emotions change during the trip, the device can capture those emotions further and send feedback to the server, allowing the experience to be updated accordingly.

[0139] (Example 2)

[0140] 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".

[0141] Conventional travel planning systems are limited to considering user preferences, making it difficult to create flexible plans that respond to real-time emotional changes. Furthermore, if the travel plan and virtual experience do not match the user's emotional state, there is a problem of decreased satisfaction with the travel experience.

[0142] 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.

[0143] In this invention, the server includes a generation means for receiving preference information and emotional data input from the user and generating a travel plan, a means for selecting or generating virtual experience content related to the travel plan, and a provision means for providing the generated travel plan and the selected or generated virtual experience content, and dynamically optimizing them according to the user's emotional state. This makes it possible to provide a flexible and highly satisfying travel experience that is suited to the user's emotional state.

[0144] "Preference information" refers to data that represents the user's preferences and interests in relation to travel planning.

[0145] "Emotional data" refers to information that indicates a user's emotions and psychological state, and is obtained through real-time input and analysis.

[0146] A "travel plan" is a suggestion that includes travel itinerary, destinations, and activities, built based on the user's preference information and emotional data.

[0147] "Generation method" refers to a technical approach that uses machine learning algorithms to construct travel plans based on information received from users.

[0148] "Virtual experience content" refers to digital content provided to users, including visual and auditory experiences related to travel planning.

[0149] "Delivery method" refers to the method of delivering the generated travel plan and virtual experience content to the user and making flexible changes as needed.

[0150] An "information processing device" refers to a terminal device that processes digital data and allows users to check and operate their travel plans.

[0151] This invention is a system that generates individually optimized travel plans by utilizing user preference information and emotional data. Implementing this invention requires a terminal equipped with emotion recognition capabilities, a server connected thereto, and a generation AI model.

[0152] The device is equipped with input devices such as a camera and microphone to collect visual and audio data from the user. This allows for real-time analysis of the user's emotional state and the generation of emotional data. This emotional data, along with the user's preference information, is then transmitted to the server.

[0153] The server uses a generative AI model to create a travel plan based on the received preference and emotional data. This generative AI model uses machine learning algorithms to generate prompts that correspond to the user's input data. For example, a possible prompt might be, "Please suggest a beach resort travel plan suitable for when the user's emotional state is calm and relaxed." Based on this prompt, the generative AI model constructs a travel plan that is optimal for the user's emotional state.

[0154] The generated travel plan includes tourist destinations and activities tailored to the user's situation and emotional state. Furthermore, the server selects and provides virtual experiences related to the travel plan. The selected virtual experiences digitally recreate the user's favorite experiences, and are adjusted according to the user's emotional state, for example, providing nature sounds for users in a calm mood and adventure videos for excited users.

[0155] The server then converts the generated travel plan and virtual experience into a format suitable for use with an information processing device and sends it to the user's terminal. The terminal displays the provided information to the user in the appropriate format. Through the terminal, the user can review the generated travel plan and enjoy the virtual experience.

[0156] In this way, the system of the present invention provides users with a highly satisfying experience by offering flexible travel plans that reflect the user's changing emotional state in real time.

[0157] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0158] Step 1:

[0159] The user inputs preference information and emotional data through the device. The device collects visual and audio data using its camera and microphone and transmits this to the emotion recognition engine in real time. Input includes the user's facial expressions and tone of voice. The device analyzes this information and outputs the user's emotional state as data.

[0160] Step 2:

[0161] The server receives emotional data and preference information sent from the terminal. Based on the received data, the server uses a generative AI model to generate a travel plan. Here, the input includes the user's preference information and emotional data, and prompt statements are generated. For example, the input to the AI ​​model might say, "If the user is looking for a relaxing trip, suggest suitable places." Based on the prompt statements, the server outputs data to suggest travel locations and activities.

[0162] Step 3:

[0163] The server constructs a detailed travel plan based on the output of the generated AI model. The input includes a travel overview obtained from the AI ​​model. The server converts this into a detailed schedule and a list of destinations, outputting it as a travel plan. Specifically, it determines which tourist destinations to visit and what activities to engage in.

[0164] Step 4:

[0165] The server selects or generates virtual experience content linked to the travel plan. Based on the output travel plan, the server selects an appropriate virtual experience. The input uses the details of the travel plan, and the process selects digital content that matches the user's emotional state. For example, for a user seeking relaxation, content including nature sounds and calming visuals is selected.

[0166] Step 5:

[0167] The server converts the selected travel plan and virtual experience content into a format optimized for the user's device and transmits it. Input includes the constructed travel plan and selected content. The server formats this information appropriately and outputs it in a format suitable for display on the device. The device displays the received data, making it easily accessible to the user.

[0168] Step 6:

[0169] Users view and experience the provided information on their devices. If a user's emotions change before or during their trip, that data is sent back to the server via the device. The server then dynamically adjusts the travel plan and virtual experience content in real time, ultimately providing the user with the latest optimized suggestions.

[0170] (Application Example 2)

[0171] 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".

[0172] Conventional travel plan generation systems provide plans based solely on user preference information, making it difficult to personalize plans by considering the user's real-time emotional state. Furthermore, providing appropriate products and services requires accurately recognizing the user's emotions and making suggestions based on those emotions. This creates a need to provide a more satisfying user experience.

[0173] 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.

[0174] In this invention, the server includes means for receiving preference information and emotional state input from a user and generating a travel plan based on said preference information and emotional state; selection means for selecting products or services according to the travel plan and emotional state; and provision means for providing the generated travel plan and selected products or services. This makes it possible to personalize travel plans and products or services according to the user's emotions.

[0175] A "user" is an individual or group that uses this system to generate travel plans.

[0176] "Preference information" refers to data about users' preferences and desires, and is used to generate travel plans.

[0177] "Emotional state" refers to a mental or emotional state perceived based on the user's facial expressions, tone of voice, and other factors.

[0178] A "travel plan" is a travel plan generated based on the user's preferences and emotional state.

[0179] "Generative means" refers to methods and devices for creating travel plans and selected products or services.

[0180] "Product or service" refers to a specific product or service offered in response to the user's emotional state.

[0181] "Selection means" refers to methods or devices for selecting appropriate products or services based on the user's emotional state.

[0182] "Means of delivery" refers to the methods and devices for providing the generated travel plan and selected products and services to the user.

[0183] In the system implementing this invention, the server generates a travel plan based on preference information and emotional state received from the user's terminal. The emotional state is primarily recognized in real time from facial expressions and voice. The hardware used here is the camera and microphone installed in the user's smartphone or smart glasses. This allows the emotion engine to recognize the user's emotions and send the data to the generating AI model. The AI ​​model is then input with prompts to suggest the optimal travel plan based on this data.

[0184] The software configuration involves facial expression analysis using OpenCV and speech emotion analysis using Google Cloud Speech-to-Text API, integrating these results to comprehensively determine the user's emotional state. Furthermore, a generative AI model, such as the OpenAI API, is used to select products and services based on the received emotion data.

[0185] These results are provided to the user's device by the server as a travel plan and selected products and services. The content is displayed in a format suitable for the device's display, establishing an intuitive user experience. Furthermore, if the user's emotions change, the system can instantly update the content accordingly.

[0186] For example, if a user indicates a desire to relax after work, the system might suggest a trip to a quiet resort and, in addition, present a set of relaxation-related products.

[0187] An example of a prompt message might be, "Please suggest relaxation products if the user is currently stressed. Also, please provide content that has an emotionally calming effect." This is the kind of input that would be given to the generating AI model.

[0188] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0189] Step 1:

[0190] The server receives preference information and real-time visual and audio data from the user's device. Inputs include preference information entered by the user on the device and visual and audio data acquired from the device's camera and microphone. Based on this data, the server prepares to analyze facial expressions using facial recognition technology.

[0191] Step 2:

[0192] The device uses its camera to capture facial images, which are then analyzed using OpenCV to extract emotional states from the user's facial expressions. For audio data, the Google Cloud Speech-to-Text API is used to convert the speech to text and perform emotion analysis. The output generates data indicating the user's emotional state.

[0193] Step 3:

[0194] The server combines the emotional state data obtained in step 2 with user preference information to create prompts for travel plan generation. It inputs the prompt text into the generation AI model and performs data calculations to suggest travel plans.

[0195] Step 4:

[0196] The generative AI model generates an optimal travel plan that matches the user's emotions and preferences based on prompts received from the server. The input to this process is a prompt sentence, and the output is a customized travel plan and a list of related products and services.

[0197] Step 5:

[0198] The server converts the generated travel plan and related product and service lists into a format suitable for the user's device. Specifically, it formats the data to fit the screen of a smartphone or smart glasses, preparing it for delivery to the user.

[0199] Step 6:

[0200] The user's device displays the travel plan and related products and services on the screen, according to the format provided in Step 5. This allows the user to intuitively see travel suggestions and product options that match their emotional state and begin their experience.

[0201] 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.

[0202] 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.

[0203] 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.

[0204] [Second Embodiment]

[0205] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0206] 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.

[0207] 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).

[0208] 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.

[0209] 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.

[0210] 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).

[0211] 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.

[0212] 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.

[0213] 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.

[0214] 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.

[0215] 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.

[0216] 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".

[0217] The primary objective of the present invention is to generate travel plans tailored to the user's preferences and to provide virtual experiences related to those plans. This allows users to enjoy a combination of real-world travel experiences and virtual experiences.

[0218] First, the user inputs their preferences, such as interests, budget, and desired travel style, through their device. This information is then sent from the device to the server. The server uses this preference information obtained from the user and leverages a generative AI model to generate a personalized travel plan. The generated travel plan includes sightseeing destinations, recommended activities, and a travel itinerary.

[0219] Next, the server selects or generates appropriate virtual experience content based on the generated travel plan. If selecting from an existing content library, it searches for and selects virtual experiences relevant to the travel plan. Furthermore, if the user has specific requests, it is possible to create a newly personalized virtual sightseeing experience using the generation AI.

[0220] The server then converts the generated travel plan and selected or generated virtual experience content into a format suitable for the user's device. This improves display efficiency on the user's device and allows for a smoother experience.

[0221] Users can review travel plans and virtual experiences generated through their devices. By virtually experiencing destinations beforehand, they can deepen their understanding of and anticipation for unfamiliar tourist spots.

[0222] For example, if a user wants to explore a historical tourist site, the server can provide a travel plan that takes them to historical landmarks and generate an XR experience that recreates past events. In this way, users can learn in advance through virtual experiences, further enhancing their enjoyment of their visit to the actual location.

[0223] As described above, the system of the present invention makes it possible to integrate real-world travel with virtual experiences and provide users with a cost-effective, diverse, and enriching travel experience.

[0224] The following describes the processing flow.

[0225] Step 1:

[0226] The user uses a device to input information about their travel preferences. This information includes desired destinations, activities of interest, budget, and travel dates. Once the input is complete, the device sends this information to the server.

[0227] Step 2:

[0228] The server analyzes the received user preference information and calls a generation AI model to generate a personalized travel plan. The generated travel plan includes suggested tourist destinations based on the user's interests, recommended routes, and estimated costs.

[0229] Step 3:

[0230] The server selects virtual experience content corresponding to the generated travel plan. It searches for and selects an appropriate virtual experience from the content library, but if there is a special request, it uses a generation AI to create a new virtual experience.

[0231] Step 4:

[0232] The server converts travel plans and selected or generated virtual experience content into a format suitable for the user's device. This includes processes such as data compression and encoding to make it suitable for display on the device.

[0233] Step 5:

[0234] The device receives travel plans and virtual experience content sent from the server and presents them visually to the user. The user can then review the provided plan on the device and begin the virtual experience.

[0235] Step 6:

[0236] After the trip, users input feedback about their actual and virtual travel experiences through their device. This feedback is sent to a server, which uses it to improve the generated AI model.

[0237] (Example 1)

[0238] 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."

[0239] In personalizing travel plans and providing virtual experiences, conventional systems have been unable to adequately accommodate the diverse preferences of users, and it has been difficult for users to gain a concrete experience of their destination before traveling. As a result, users risk wasting budget and time, and the quality of their travel experience suffers.

[0240] 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.

[0241] In this invention, the server includes means for receiving preference information input from a user and generating a travel plan based on said preference information; means for selecting or generating virtual experience data related to the travel plan; means for converting the generated travel plan and the selected or generated virtual experience data into a format suitable for the user terminal and providing it; and means for using a generative artificial intelligence model for selecting or generating the travel plan and virtual experience data. This makes it possible to personalize travel plans according to the diverse preferences of users and to provide virtual experiences in advance.

[0242] A "user" refers to an individual or group that uses an information system to generate a travel plan and obtain a virtual experience based on it.

[0243] "Preference information" refers to data that indicates individualized needs and preferences that should be considered when planning a trip, such as a user's interests, budget, and travel style.

[0244] A "travel plan" is a proposed outline of the entire trip, including destinations, activities, and itinerary, generated based on the user's preferences.

[0245] "Virtual experience data" refers to digital content that represents computer-generated experiences provided for the purpose of mimicking or complementing actual travel.

[0246] "Generative artificial intelligence models" refer to algorithms and machine learning models used to generate optimal travel plans and virtual experience data using user preference information as input.

[0247] A "terminal" refers to an electronic device used by a user to input information and receive and display generated travel plans and virtual experience data.

[0248] A "server" refers to a computer system that processes information and manages the sending and receiving of data to and from terminals.

[0249] "Means" refer to the technical steps, methods, or processes used to achieve a particular objective.

[0250] This invention is a system that generates travel plans based on user preference information and provides related virtual experiences. Users input preference information such as interests, budget, and travel style using a terminal. This allows the user's needs and desires to be concretely expressed.

[0251] The terminal encrypts the entered preference information using the SSL / TLS protocol and sends it to the server. The server generates a travel plan based on the received preference information using a generative artificial intelligence model. This model employs machine learning algorithms. The generated travel plan includes destinations, recommended activities, and itinerary.

[0252] Next, the server selects or generates virtual experience data related to the travel plan. This may involve selecting an appropriate experience from an existing content library, or it may use a generative artificial intelligence model to generate a new virtual experience tailored to the user. For example, if the user wants to visit a historical tourist site, the server will generate a virtual experience that recreates past events.

[0253] The generated travel plans and virtual experience data are converted to a format optimized for the device and provided to the user. This conversion utilizes data format conversion technology to ensure smooth display on the device screen. Users can visually review the generated travel plans and virtual experiences through their devices and use them as preparation for their actual trips.

[0254] An example of a prompt message would be: "The user has entered that they want to visit historical tourist sites. Their budget is moderate, and their area of ​​interest is ancient civilizations. Please generate a travel plan and associated virtual experience based on this." This allows for the provision of high-quality travel plans and virtual experiences that meet the user's expectations.

[0255] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0256] Step 1:

[0257] The user enters preference information using a terminal. This information includes travel destinations, activities of interest, and budget ranges. The entered information is used as basic data for the next processing step.

[0258] Step 2:

[0259] The device sends the entered preference information to the server. HTTP requests are used for transmission, and the information is encrypted using SSL / TLS to ensure data security. As a result, the preference information reaches the server safely.

[0260] Step 3:

[0261] The server analyzes the received preference information and generates a suitable travel plan using a generative artificial intelligence model. Specifically, it inputs prompts into the AI ​​model based on the user's interests and budget, and outputs a plan that includes destinations, activities, and a schedule.

[0262] Step 4:

[0263] The server selects or generates virtual experience data based on the generated travel plan. This may involve selecting relevant experiences from an existing content library, or generating new virtual experiences using AI models based on specific requirements. The selected data serves as output that adds depth to the travel plan.

[0264] Step 5:

[0265] The server converts travel plans and virtual experience data into a format that can be properly displayed on the device. Specifically, it performs data format conversion, converting JSON data into HTML or XML format that can be displayed on the device. This process reduces user stress related to the display.

[0266] Step 6:

[0267] Users view the travel plan and virtual experience displayed on their device. They can access detailed information by scrolling or tapping and try out the provided virtual experience. As a result, users gain a deeper understanding of their destination before actually traveling.

[0268] (Application Example 1)

[0269] 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."

[0270] The challenge lies in integrating real-world travel with virtual experiences, providing a system that allows users to browse and purchase products through a virtual environment. Conventional travel planning systems only provide plans based on user preferences and lack a way to enable pre-purchase shopping experiences in a virtual environment.

[0271] 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.

[0272] In this invention, the server includes a generation means for receiving preference information input by a user and generating a travel plan based on said preference information; a means for selecting or generating virtual experience content related to the travel plan; a provision means for providing the generated travel plan and the selected or generated virtual experience content; and a virtual purchase means for browsing and purchasing products in a virtual environment. This makes it possible for the user to smoothly purchase related products while engaging in various virtual experiences related to the travel plan in advance.

[0273] A "user" is an entity that inputs preference information into a system and receives a virtual experience.

[0274] "Preference information" refers to information about a user's interests, budget, and travel style that they provide to generate a travel plan.

[0275] A "travel plan" is a travel plan that includes destinations and recommended activities generated based on preferences.

[0276] A "generation means" is a means that has the function of receiving user preference information and generating a travel plan based on that information.

[0277] "Virtual experience content" refers to content that provides virtual sightseeing and shopping experiences related to travel planning.

[0278] "Means of selection or generation" refers to means of selecting or newly generating appropriate virtual experience content in relation to a travel plan.

[0279] "Means of delivery" refers to the means of providing users with the generated travel plans and virtual experience content.

[0280] A "virtual environment" is a virtual space where users can experience sightseeing and shopping as if they were in real life.

[0281] The "virtual purchase means" is a means for enabling a user to view and purchase products in a virtual environment.

[0282] The system for implementing this invention generates a travel plan based on the user's preferences and provides an experience in a virtual space. First, the user uses a terminal to input preference information such as their interests, budget, and desired travel style. This information is transmitted from the terminal to the server.

[0283] Based on the preference information obtained from the user, the server utilizes a generation AI model to generate a personalized travel plan. For example, OpenAI's GPT is used as this generation AI model. The generated travel plan includes destinations to be visited and recommended activities.

[0284] Next, the server selects or generates virtual experience content related to the travel plan. It selects relevant virtual experiences from an existing content library or creates new virtual tourism experiences using generation AI according to the special requirements of the user.

[0285] The generated travel plan and virtual experience content are converted into a format suitable for the user's terminal by the providing means. Specifically, a virtual environment constructed using Unity is displayed on the terminal. The user can experience places and related products through the virtual space by using a VR headset such as the Oculus Quest 2.

[0286] Also, by means of virtual purchase, the user can view and purchase products within the virtual environment. For example, while experiencing a virtual tour of Paris, local specialties introduced there can be purchased at a virtual store.

[0287] As a specific example, consider the case where the user inputs that they are "interested in a wine tour in Italy". In this case, the server generates a virtual tour of famous wine-producing regions in Italy and introduces the specialties of related wineries within the virtual environment.

[0288] Examples of prompt statements include the following:

[0289] "The user is interested in an Italian wine tour, has a moderate budget, and wants to visit places where they can sample wine. Please generate a travel plan that meets these conditions."

[0290] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0291] Step 1:

[0292] Users use their devices to input their preferences. This information includes places of interest, travel budget, and desired experience style. The entered data is formatted into JSON or another format and sent to the server.

[0293] Step 2:

[0294] The server creates and sends a prompt message to the generating AI model based on the received preference information. The generating AI model analyzes this prompt message and generates travel plan data that matches the user's preferences. The data processing performed by the AI ​​includes generating tourist destination and activity information related to the user's request and constructing the plan data. The output of this process is the travel plan data.

[0295] Step 3:

[0296] The server selects or generates virtual experience content to be associated with the generated travel plan data. It searches for relevant virtual experiences from the content library and selects the most suitable content. It performs data calculations to obtain positive feedback and selects the content that best matches the user request. The output is virtual experience content data.

[0297] Step 4:

[0298] The server converts the generated travel plan and virtual experience content into a format suitable for the user's device. This format conversion includes processing to create datasets compatible with 3D viewers and VR environments. The input for this step is the plan data and content data, and the output is the converted data format.

[0299] Step 5:

[0300] The terminal uses the converted data received from the server to recreate the virtual environment for the user. The user, using a VR headset, can visit planned tourist destinations within the virtual space and browse and purchase related products. The output of this step is a visual and interactive user experience.

[0301] 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.

[0302] The present invention aims to provide a more personalized travel experience by combining the generation of travel plans based on user preferences with an emotion engine that recognizes user emotions.

[0303] When users input travel preferences through their devices, their emotions are recognized in real time through visual and voice input. The emotion engine analyzes facial expressions and tone of voice to determine the user's emotional state. This determination is sent to the server and used to generate travel plans. For example, if a user indicates a desire for a relaxing trip, the server can generate a plan to visit a quiet resort.

[0304] The server integrates the emotion recognition results into a generating AI model to create a travel plan that takes the user's emotional state into account. This plan includes tourist destinations and activities that fit the user's emotions and can be adjusted as needed while reviewing real-time emotion analysis results.

[0305] Furthermore, when selecting or generating virtual experience content corresponding to a travel plan, the server reflects the results of the emotion engine. For example, when the user shows excitement or curiosity, adventure experience content is selected. On the other hand, when the user is in a calm mood, content that promotes relaxation is selected.

[0306] After that, the server converts this information into a format suitable for the user's terminal, enabling smooth display and operation on the terminal. The user can enjoy the travel plan and virtual experience generated on the terminal, and the emotion engine can appropriately recognize changes in the user's emotions immediately before or during the trip, and adaptively optimize the experience content.

[0307] [[ID=!0]] As a specific example, when the user is interested in a beach resort and shows a calm emotion at the time of input, the server proposes a relaxation plan that incorporates reading or massage on the beach. At this time, as virtual experience content, something that allows the user to enjoy the sound of waves and the scenery by the beach is selected.

[0308] In this way, the system of the present invention can provide a more deeply satisfying travel experience to the user through emotion recognition and its application.

[0309] The processing flow will be described below.

[0310] Step 1:

[0311] The user uses the terminal to input preference information regarding the trip. The preference information includes the place to visit, desired activities, budget, travel schedule, and so on. Also, the terminal captures the user's expressions and voice in real time using a camera and a microphone, and the emotion engine recognizes the user's emotion.

[0312] Step 2:

[0313] The device sends the results of emotion recognition to the server along with the user's preference information. The server analyzes the received information and, based on the output of the emotion engine, understands the user's current emotional state. This information is taken into consideration in the travel plan generation process.

[0314] Step 3:

[0315] The server uses a generative AI model to generate travel plans based on user preference information and emotional data. For example, if a user indicates a calm emotional state, the plan will focus on relaxing activities. Conversely, if an excited emotional state is detected, the plan will recommend active activities.

[0316] Step 4:

[0317] The server selects or generates virtual experience content related to the travel plan. The selection process incorporates the results of emotion recognition, aiming to provide an experience that matches the user's emotions. For example, it selects content that prioritizes a sense of security or content that enhances excitement, ensuring a harmonious emotional experience.

[0318] Step 5:

[0319] The server converts the generated travel plan and virtual experience content into a format suitable for the user's device. This allows the device to smoothly play and display the content. After format conversion, the server sends this data to the device.

[0320] Step 6:

[0321] The device receives data sent from the server and presents it to the user visually. The user can view the travel plan on the device and enjoy a virtual experience that responds to their emotions. If their emotions change during the trip, the device can capture those emotions further and send feedback to the server, allowing the experience to be updated accordingly.

[0322] (Example 2)

[0323] 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".

[0324] Conventional travel planning systems are limited to considering user preferences, making it difficult to create flexible plans that respond to real-time emotional changes. Furthermore, if the travel plan and virtual experience do not match the user's emotional state, there is a problem of decreased satisfaction with the travel experience.

[0325] 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.

[0326] In this invention, the server includes a generation means for receiving preference information and emotional data input from the user and generating a travel plan, a means for selecting or generating virtual experience content related to the travel plan, and a provision means for providing the generated travel plan and the selected or generated virtual experience content, and dynamically optimizing them according to the user's emotional state. This makes it possible to provide a flexible and highly satisfying travel experience that is suited to the user's emotional state.

[0327] "Preference information" refers to data that represents the user's preferences and interests in relation to travel planning.

[0328] "Emotional data" refers to information that indicates a user's emotions and psychological state, and is obtained through real-time input and analysis.

[0329] A "travel plan" is a suggestion that includes travel itinerary, destinations, and activities, built based on the user's preference information and emotional data.

[0330] "Generation method" refers to a technical approach that uses machine learning algorithms to construct travel plans based on information received from users.

[0331] "Virtual experience content" refers to digital content provided to users, including visual and auditory experiences related to travel planning.

[0332] "Delivery method" refers to the method of delivering the generated travel plan and virtual experience content to the user and making flexible changes as needed.

[0333] An "information processing device" refers to a terminal device that processes digital data and allows users to check and operate their travel plans.

[0334] This invention is a system that generates individually optimized travel plans by utilizing user preference information and emotional data. Implementing this invention requires a terminal equipped with emotion recognition capabilities, a server connected thereto, and a generation AI model.

[0335] The device is equipped with input devices such as a camera and microphone to collect visual and audio data from the user. This allows for real-time analysis of the user's emotional state and the generation of emotional data. This emotional data, along with the user's preference information, is then transmitted to the server.

[0336] The server uses a generative AI model to create a travel plan based on the received preference and emotional data. This generative AI model uses machine learning algorithms to generate prompts that correspond to the user's input data. For example, a possible prompt might be, "Please suggest a beach resort travel plan suitable for when the user's emotional state is calm and relaxed." Based on this prompt, the generative AI model constructs a travel plan that is optimal for the user's emotional state.

[0337] The generated travel plan includes tourist destinations and activities tailored to the user's situation and emotional state. Furthermore, the server selects and provides virtual experiences related to the travel plan. The selected virtual experiences digitally recreate the user's favorite experiences, and are adjusted according to the user's emotional state, for example, providing nature sounds for users in a calm mood and adventure videos for excited users.

[0338] The server then converts the generated travel plan and virtual experience into a format suitable for use with an information processing device and sends it to the user's terminal. The terminal displays the provided information to the user in the appropriate format. Through the terminal, the user can review the generated travel plan and enjoy the virtual experience.

[0339] In this way, the system of the present invention provides users with a highly satisfying experience by offering flexible travel plans that reflect the user's changing emotional state in real time.

[0340] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0341] Step 1:

[0342] The user inputs preference information and emotional data through the device. The device collects visual and audio data using its camera and microphone and transmits this to the emotion recognition engine in real time. Input includes the user's facial expressions and tone of voice. The device analyzes this information and outputs the user's emotional state as data.

[0343] Step 2:

[0344] The server receives emotional data and preference information sent from the terminal. Based on the received data, the server uses a generative AI model to generate a travel plan. Here, the input includes the user's preference information and emotional data, and prompt statements are generated. For example, the input to the AI ​​model might say, "If the user is looking for a relaxing trip, suggest suitable places." Based on the prompt statements, the server outputs data to suggest travel locations and activities.

[0345] Step 3:

[0346] The server constructs a detailed travel plan based on the output of the generated AI model. The input includes a travel overview obtained from the AI ​​model. The server converts this into a detailed schedule and a list of destinations, outputting it as a travel plan. Specifically, it determines which tourist destinations to visit and what activities to engage in.

[0347] Step 4:

[0348] The server selects or generates virtual experience content linked to the travel plan. Based on the output travel plan, the server selects an appropriate virtual experience. The input uses the details of the travel plan, and the process selects digital content that matches the user's emotional state. For example, for a user seeking relaxation, content including nature sounds and calming visuals is selected.

[0349] Step 5:

[0350] The server converts the selected travel plan and virtual experience content into a format optimized for the user's device and transmits it. Input includes the constructed travel plan and selected content. The server formats this information appropriately and outputs it in a format suitable for display on the device. The device displays the received data, making it easily accessible to the user.

[0351] Step 6:

[0352] Users view and experience the provided information on their devices. If a user's emotions change before or during their trip, that data is sent back to the server via the device. The server then dynamically adjusts the travel plan and virtual experience content in real time, ultimately providing the user with the latest optimized suggestions.

[0353] (Application Example 2)

[0354] 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."

[0355] Conventional travel plan generation systems provide plans based solely on user preference information, making it difficult to personalize plans by considering the user's real-time emotional state. Furthermore, providing appropriate products and services requires accurately recognizing the user's emotions and making suggestions based on those emotions. This creates a need to provide a more satisfying user experience.

[0356] 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.

[0357] In this invention, the server includes means for receiving preference information and emotional state input from a user and generating a travel plan based on said preference information and emotional state; selection means for selecting products or services according to the travel plan and emotional state; and provision means for providing the generated travel plan and selected products or services. This makes it possible to personalize travel plans and products or services according to the user's emotions.

[0358] A "user" is an individual or group that uses this system to generate travel plans.

[0359] "Preference information" refers to data about users' preferences and desires, and is used to generate travel plans.

[0360] "Emotional state" refers to a mental or emotional state perceived based on the user's facial expressions, tone of voice, and other factors.

[0361] A "travel plan" is a travel plan generated based on the user's preferences and emotional state.

[0362] "Generative means" refers to methods and devices for creating travel plans and selected products or services.

[0363] "Product or service" refers to a specific product or service offered in response to the user's emotional state.

[0364] "Selection means" refers to methods or devices for selecting appropriate products or services based on the user's emotional state.

[0365] "Means of delivery" refers to the methods and devices for providing the generated travel plan and selected products and services to the user.

[0366] In the system implementing this invention, the server generates a travel plan based on preference information and emotional state received from the user's terminal. The emotional state is primarily recognized in real time from facial expressions and voice. The hardware used here is the camera and microphone installed in the user's smartphone or smart glasses. This allows the emotion engine to recognize the user's emotions and send the data to the generating AI model. The AI ​​model is then input with prompts to suggest the optimal travel plan based on this data.

[0367] The software configuration involves using OpenCV for facial expression analysis and the Google Cloud Speech-to-Text API for speech emotion analysis, integrating these results to comprehensively determine the user's emotional state. Furthermore, a generative AI model, such as the OpenAI API, is used to select products and services based on the received emotion data.

[0368] These results are provided to the user's device by the server as a travel plan and selected products and services. The content is displayed in a format suitable for the device's display, establishing an intuitive user experience. Furthermore, if the user's emotions change, the system can instantly update the content accordingly.

[0369] For example, if a user indicates a desire to relax after work, the system might suggest a trip to a quiet resort and, in addition, present a set of relaxation-related products.

[0370] An example of a prompt message might be, "Please suggest relaxation products if the user is currently stressed. Also, please provide content that has an emotionally calming effect." This is the kind of input that would be given to the generating AI model.

[0371] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0372] Step 1:

[0373] The server receives preference information and real-time visual and audio data from the user's device. Inputs include preference information entered by the user on the device and visual and audio data acquired from the device's camera and microphone. Based on this data, the server prepares to analyze facial expressions using facial recognition technology.

[0374] Step 2:

[0375] The device uses its camera to capture facial images, which are then analyzed using OpenCV to extract emotional states from the user's facial expressions. For audio data, the Google Cloud Speech-to-Text API is used to convert the speech to text and perform emotion analysis. The output generates data indicating the user's emotional state.

[0376] Step 3:

[0377] The server combines the emotional state data obtained in step 2 with user preference information to create prompts for travel plan generation. It inputs the prompt text into the generation AI model and performs data calculations to suggest travel plans.

[0378] Step 4:

[0379] The generative AI model generates an optimal travel plan that matches the user's emotions and preferences based on prompts received from the server. The input to this process is a prompt sentence, and the output is a customized travel plan and a list of related products and services.

[0380] Step 5:

[0381] The server converts the generated travel plan and related product and service lists into a format suitable for the user's device. Specifically, it formats the data to fit the screen of a smartphone or smart glasses, preparing it for delivery to the user.

[0382] Step 6:

[0383] The user's device displays the travel plan and related products and services on the screen, according to the format provided in Step 5. This allows the user to intuitively see travel suggestions and product options that match their emotional state and begin their experience.

[0384] 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.

[0385] 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.

[0386] 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.

[0387] [Third Embodiment]

[0388] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0389] 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.

[0390] 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).

[0391] 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.

[0392] 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.

[0393] 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).

[0394] 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.

[0395] 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.

[0396] 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.

[0397] 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.

[0398] 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.

[0399] 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".

[0400] The primary objective of the present invention is to generate travel plans tailored to the user's preferences and to provide virtual experiences related to those plans. This allows users to enjoy a combination of real-world travel experiences and virtual experiences.

[0401] First, the user inputs their preferences, such as interests, budget, and desired travel style, through their device. This information is then sent from the device to the server. The server uses this preference information obtained from the user and leverages a generative AI model to generate a personalized travel plan. The generated travel plan includes sightseeing destinations, recommended activities, and a travel itinerary.

[0402] Next, the server selects or generates appropriate virtual experience content based on the generated travel plan. If selecting from an existing content library, it searches for and selects virtual experiences relevant to the travel plan. Furthermore, if the user has specific requests, it is possible to create a newly personalized virtual sightseeing experience using the generation AI.

[0403] The server then converts the generated travel plan and selected or generated virtual experience content into a format suitable for the user's device. This improves display efficiency on the user's device and allows for a smoother experience.

[0404] Users can review travel plans and virtual experiences generated through their devices. By virtually experiencing destinations beforehand, they can deepen their understanding of and anticipation for unfamiliar tourist spots.

[0405] For example, if a user wants to explore a historical tourist site, the server can provide a travel plan that takes them to historical landmarks and generate an XR experience that recreates past events. In this way, users can learn in advance through virtual experiences, further enhancing their enjoyment of their visit to the actual location.

[0406] As described above, the system of the present invention makes it possible to integrate real-world travel with virtual experiences and provide users with a cost-effective, diverse, and enriching travel experience.

[0407] The following describes the processing flow.

[0408] Step 1:

[0409] The user uses a device to input information about their travel preferences. This information includes desired destinations, activities of interest, budget, and travel dates. Once the input is complete, the device sends this information to the server.

[0410] Step 2:

[0411] The server analyzes the received user preference information and calls a generation AI model to generate a personalized travel plan. The generated travel plan includes suggested tourist destinations based on the user's interests, recommended routes, and estimated costs.

[0412] Step 3:

[0413] The server selects virtual experience content corresponding to the generated travel plan. It searches for and selects an appropriate virtual experience from the content library, but if there is a special request, it uses a generation AI to create a new virtual experience.

[0414] Step 4:

[0415] The server converts travel plans and selected or generated virtual experience content into a format suitable for the user's device. This includes processes such as data compression and encoding to make it suitable for display on the device.

[0416] Step 5:

[0417] The device receives travel plans and virtual experience content sent from the server and presents them visually to the user. The user can then review the provided plan on the device and begin the virtual experience.

[0418] Step 6:

[0419] After the trip, users input feedback about their actual and virtual travel experiences through their device. This feedback is sent to a server, which uses it to improve the generated AI model.

[0420] (Example 1)

[0421] 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."

[0422] In personalizing travel plans and providing virtual experiences, conventional systems have been unable to adequately accommodate the diverse preferences of users, and it has been difficult for users to gain a concrete experience of their destination before traveling. As a result, users risk wasting budget and time, and the quality of their travel experience suffers.

[0423] 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.

[0424] In this invention, the server includes means for receiving preference information input from a user and generating a travel plan based on said preference information; means for selecting or generating virtual experience data related to the travel plan; means for converting the generated travel plan and the selected or generated virtual experience data into a format suitable for the user terminal and providing it; and means for using a generative artificial intelligence model for selecting or generating the travel plan and virtual experience data. This makes it possible to personalize travel plans according to the diverse preferences of users and to provide virtual experiences in advance.

[0425] A "user" refers to an individual or group that uses an information system to generate a travel plan and obtain a virtual experience based on it.

[0426] "Preference information" refers to data that indicates individualized needs and preferences that should be considered when planning a trip, such as a user's interests, budget, and travel style.

[0427] A "travel plan" is a proposed outline of the entire trip, including destinations, activities, and itinerary, generated based on the user's preferences.

[0428] "Virtual experience data" refers to digital content that represents computer-generated experiences provided for the purpose of mimicking or complementing actual travel.

[0429] "Generative artificial intelligence models" refer to algorithms and machine learning models used to generate optimal travel plans and virtual experience data using user preference information as input.

[0430] A "terminal" refers to an electronic device used by a user to input information and receive and display generated travel plans and virtual experience data.

[0431] A "server" refers to a computer system that processes information and manages the sending and receiving of data to and from terminals.

[0432] "Means" refer to the technical steps, methods, or processes used to achieve a particular objective.

[0433] This invention is a system that generates travel plans based on user preference information and provides related virtual experiences. Users input preference information such as interests, budget, and travel style using a terminal. This allows the user's needs and desires to be concretely expressed.

[0434] The terminal encrypts the entered preference information using the SSL / TLS protocol and sends it to the server. The server generates a travel plan based on the received preference information using a generative artificial intelligence model. This model employs machine learning algorithms. The generated travel plan includes destinations, recommended activities, and itinerary.

[0435] Next, the server selects or generates virtual experience data related to the travel plan. This may involve selecting an appropriate experience from an existing content library, or it may use a generative artificial intelligence model to generate a new virtual experience tailored to the user. For example, if the user wants to visit a historical tourist site, the server will generate a virtual experience that recreates past events.

[0436] The generated travel plans and virtual experience data are converted to a format optimized for the device and provided to the user. This conversion utilizes data format conversion technology to ensure smooth display on the device screen. Users can visually review the generated travel plans and virtual experiences through their devices and use them as preparation for their actual trips.

[0437] An example of a prompt message would be: "The user has entered that they want to visit historical tourist sites. Their budget is moderate, and their area of ​​interest is ancient civilizations. Please generate a travel plan and associated virtual experience based on this." This allows for the provision of high-quality travel plans and virtual experiences that meet the user's expectations.

[0438] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0439] Step 1:

[0440] The user enters preference information using a terminal. This information includes travel destinations, activities of interest, and budget ranges. The entered information is used as basic data for the next processing step.

[0441] Step 2:

[0442] The device sends the entered preference information to the server. HTTP requests are used for transmission, and the information is encrypted using SSL / TLS to ensure data security. As a result, the preference information reaches the server safely.

[0443] Step 3:

[0444] The server analyzes the received preference information and generates a suitable travel plan using a generative artificial intelligence model. Specifically, it inputs prompts into the AI ​​model based on the user's interests and budget, and outputs a plan that includes destinations, activities, and a schedule.

[0445] Step 4:

[0446] The server selects or generates virtual experience data based on the generated travel plan. This may involve selecting relevant experiences from an existing content library, or generating new virtual experiences using AI models based on specific requirements. The selected data serves as output that adds depth to the travel plan.

[0447] Step 5:

[0448] The server converts travel plans and virtual experience data into a format that can be properly displayed on the device. Specifically, it performs data format conversion, converting JSON data into HTML or XML format that can be displayed on the device. This process reduces user stress related to the display.

[0449] Step 6:

[0450] Users view the travel plan and virtual experience displayed on their device. They can access detailed information by scrolling or tapping and try out the provided virtual experience. As a result, users gain a deeper understanding of their destination before actually traveling.

[0451] (Application Example 1)

[0452] 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."

[0453] The challenge lies in integrating real-world travel with virtual experiences, providing a system that allows users to browse and purchase products through a virtual environment. Conventional travel planning systems only provide plans based on user preferences and lack a way to enable pre-purchase shopping experiences in a virtual environment.

[0454] 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.

[0455] In this invention, the server includes a generation means for receiving preference information input by a user and generating a travel plan based on said preference information; a means for selecting or generating virtual experience content related to the travel plan; a provision means for providing the generated travel plan and the selected or generated virtual experience content; and a virtual purchase means for browsing and purchasing products in a virtual environment. This makes it possible for the user to smoothly purchase related products while engaging in various virtual experiences related to the travel plan in advance.

[0456] A "user" is an entity that inputs preference information into a system and receives a virtual experience.

[0457] "Preference information" refers to information about a user's interests, budget, and travel style that they provide to generate a travel plan.

[0458] A "travel plan" is a travel plan that includes destinations and recommended activities generated based on preferences.

[0459] A "generation means" is a means that has the function of receiving user preference information and generating a travel plan based on that information.

[0460] "Virtual experience content" refers to content that provides virtual sightseeing and shopping experiences related to travel planning.

[0461] "Means of selection or generation" refers to means of selecting or newly generating appropriate virtual experience content in relation to a travel plan.

[0462] "Means of delivery" refers to the means of providing users with the generated travel plans and virtual experience content.

[0463] A "virtual environment" is a virtual space where users can experience sightseeing and shopping as if they were in real life.

[0464] A "virtual purchasing method" is a means that enables users to browse and purchase products in a virtual environment.

[0465] The system for implementing this invention generates travel plans based on user preferences and provides a virtual experience. First, the user inputs preference information such as their interests, budget, and desired travel style using a terminal. This information is then transmitted from the terminal to the server.

[0466] The server generates personalized travel plans using a generative AI model based on user preference information. For example, OpenAI's GPT is used as this generative AI model. The generated travel plan includes destinations to visit and recommended activities.

[0467] Next, the server selects or generates virtual experience content related to the travel plan. It either selects a relevant virtual experience from an existing content library or creates a new virtual travel experience using a generation AI according to the user's specific requests.

[0468] The generated travel plans and virtual experience content are converted to a format suitable for the user's device, depending on the delivery method. Specifically, a virtual environment built using Unity is displayed on the device. Users can experience places and related products through the virtual space using a VR headset such as the Oculus Quest 2.

[0469] Furthermore, virtual purchasing methods allow users to browse and purchase products within a virtual environment. For example, users can experience a virtual tour of Paris and purchase local specialties featured in the tour from a virtual store.

[0470] As a concrete example, consider a case where a user enters "I am interested in an Italian wine tour." In this case, the server generates a virtual tour of famous Italian wine-producing regions and introduces the specialty products of the relevant wineries within the virtual environment.

[0471] Examples of prompt statements include the following:

[0472] "The user is interested in an Italian wine tour, has a moderate budget, and wants to visit places where they can sample wine. Please generate a travel plan that meets these conditions."

[0473] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0474] Step 1:

[0475] Users use their devices to input their preferences. This information includes places of interest, travel budget, and desired experience style. The entered data is formatted into JSON or another format and sent to the server.

[0476] Step 2:

[0477] The server creates and sends a prompt message to the generating AI model based on the received preference information. The generating AI model analyzes this prompt message and generates travel plan data that matches the user's preferences. The data processing performed by the AI ​​includes generating tourist destination and activity information related to the user's request and constructing the plan data. The output of this process is the travel plan data.

[0478] Step 3:

[0479] The server selects or generates virtual experience content to be associated with the generated travel plan data. It searches for relevant virtual experiences from the content library and selects the most suitable content. It performs data calculations to obtain positive feedback and selects the content that best matches the user request. The output is virtual experience content data.

[0480] Step 4:

[0481] The server converts the generated travel plan and virtual experience content into a format suitable for the user's device. This format conversion includes processing to create datasets compatible with 3D viewers and VR environments. The input for this step is the plan data and content data, and the output is the converted data format.

[0482] Step 5:

[0483] The terminal uses the converted data received from the server to recreate the virtual environment for the user. The user, using a VR headset, can visit planned tourist destinations within the virtual space and browse and purchase related products. The output of this step is a visual and interactive user experience.

[0484] 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.

[0485] The present invention aims to provide a more personalized travel experience by combining the generation of travel plans based on user preferences with an emotion engine that recognizes user emotions.

[0486] When users input travel preferences through their devices, their emotions are recognized in real time through visual and voice input. The emotion engine analyzes facial expressions and tone of voice to determine the user's emotional state. This determination is sent to the server and used to generate travel plans. For example, if a user indicates a desire for a relaxing trip, the server can generate a plan to visit a quiet resort.

[0487] The server integrates the emotion recognition results into a generating AI model to create a travel plan that takes the user's emotional state into account. This plan includes tourist destinations and activities that fit the user's emotions and can be adjusted as needed while reviewing real-time emotion analysis results.

[0488] Furthermore, the server reflects the results of the emotion engine when selecting or generating virtual experience content that corresponds to the travel plan. For example, if the user shows excitement or curiosity, adventure experience content will be selected. On the other hand, if the user is in a calm mood, content that promotes relaxation will be selected.

[0489] The server then converts this information into a format suitable for the user's device, enabling smooth display and operation on the device. Users can enjoy the generated travel plan and virtual experience on their device, and the emotion engine can adaptively optimize the experience by recognizing changes in their emotions immediately before and during the trip.

[0490] For example, if a user expresses interest in a beach resort and indicates a calm mood during input, the server will suggest a relaxation plan that includes reading and massage on the beach. In this case, virtual experience content that allows users to enjoy the sound of waves and beachside scenery will be selected.

[0491] In this way, the system of the present invention can provide users with a more deeply satisfying travel experience through the recognition and application of emotions.

[0492] The following describes the processing flow.

[0493] Step 1:

[0494] Users input travel preference information using their device. This information includes places they want to visit, desired activities, budget, and travel dates. The device also uses a camera and microphone to capture the user's facial expressions and voice in real time, and an emotion engine recognizes the user's emotions.

[0495] Step 2:

[0496] The device sends the results of emotion recognition to the server along with the user's preference information. The server analyzes the received information and, based on the output of the emotion engine, understands the user's current emotional state. This information is taken into consideration in the travel plan generation process.

[0497] Step 3:

[0498] The server uses a generative AI model to generate travel plans based on user preference information and emotional data. For example, if a user indicates a calm emotional state, the plan will focus on relaxing activities. Conversely, if an excited emotional state is detected, the plan will recommend active activities.

[0499] Step 4:

[0500] The server selects or generates virtual experience content related to the travel plan. The selection process incorporates the results of emotion recognition, aiming to provide an experience that matches the user's emotions. For example, it selects content that prioritizes a sense of security or content that enhances excitement, ensuring a harmonious emotional experience.

[0501] Step 5:

[0502] The server converts the generated travel plan and virtual experience content into a format suitable for the user's device. This allows the device to smoothly play and display the content. After format conversion, the server sends this data to the device.

[0503] Step 6:

[0504] The device receives data sent from the server and presents it to the user visually. The user can view the travel plan on the device and enjoy a virtual experience that responds to their emotions. If their emotions change during the trip, the device can capture those emotions further and send feedback to the server, allowing the experience to be updated accordingly.

[0505] (Example 2)

[0506] 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."

[0507] Conventional travel planning systems are limited to considering user preferences, making it difficult to create flexible plans that respond to real-time emotional changes. Furthermore, if the travel plan and virtual experience do not match the user's emotional state, there is a problem of decreased satisfaction with the travel experience.

[0508] 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.

[0509] In this invention, the server includes a generation means for receiving preference information and emotional data input from the user and generating a travel plan, a means for selecting or generating virtual experience content related to the travel plan, and a provision means for providing the generated travel plan and the selected or generated virtual experience content, and dynamically optimizing them according to the user's emotional state. This makes it possible to provide a flexible and highly satisfying travel experience that is suited to the user's emotional state.

[0510] "Preference information" refers to data that represents the user's preferences and interests in relation to travel planning.

[0511] "Emotional data" refers to information that indicates a user's emotions and psychological state, and is obtained through real-time input and analysis.

[0512] A "travel plan" is a suggestion that includes travel itinerary, destinations, and activities, built based on the user's preference information and emotional data.

[0513] "Generation method" refers to a technical approach that uses machine learning algorithms to construct travel plans based on information received from users.

[0514] "Virtual experience content" refers to digital content provided to users, including visual and auditory experiences related to travel planning.

[0515] "Delivery method" refers to the method of delivering the generated travel plan and virtual experience content to the user and making flexible changes as needed.

[0516] An "information processing device" refers to a terminal device that processes digital data and allows users to check and operate their travel plans.

[0517] This invention is a system that generates individually optimized travel plans by utilizing user preference information and emotional data. Implementing this invention requires a terminal equipped with emotion recognition capabilities, a server connected thereto, and a generation AI model.

[0518] The device is equipped with input devices such as a camera and microphone to collect visual and audio data from the user. This allows for real-time analysis of the user's emotional state and the generation of emotional data. This emotional data, along with the user's preference information, is then transmitted to the server.

[0519] The server uses a generative AI model to create a travel plan based on the received preference and emotional data. This generative AI model uses machine learning algorithms to generate prompts that correspond to the user's input data. For example, a possible prompt might be, "Please suggest a beach resort travel plan suitable for when the user's emotional state is calm and relaxed." Based on this prompt, the generative AI model constructs a travel plan that is optimal for the user's emotional state.

[0520] The generated travel plan includes tourist destinations and activities tailored to the user's situation and emotional state. Furthermore, the server selects and provides virtual experiences related to the travel plan. The selected virtual experiences digitally recreate the user's favorite experiences, and are adjusted according to the user's emotional state, for example, providing nature sounds for users in a calm mood and adventure videos for excited users.

[0521] The server then converts the generated travel plan and virtual experience into a format suitable for use with an information processing device and sends it to the user's terminal. The terminal displays the provided information to the user in the appropriate format. Through the terminal, the user can review the generated travel plan and enjoy the virtual experience.

[0522] In this way, the system of the present invention provides users with a highly satisfying experience by offering flexible travel plans that reflect the user's changing emotional state in real time.

[0523] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0524] Step 1:

[0525] The user inputs preference information and emotional data through the device. The device collects visual and audio data using its camera and microphone and transmits this to the emotion recognition engine in real time. Input includes the user's facial expressions and tone of voice. The device analyzes this information and outputs the user's emotional state as data.

[0526] Step 2:

[0527] The server receives emotional data and preference information sent from the terminal. Based on the received data, the server uses a generative AI model to generate a travel plan. Here, the input includes the user's preference information and emotional data, and prompt statements are generated. For example, the input to the AI ​​model might say, "If the user is looking for a relaxing trip, suggest suitable places." Based on the prompt statements, the server outputs data to suggest travel locations and activities.

[0528] Step 3:

[0529] The server constructs a detailed travel plan based on the output of the generated AI model. The input includes a travel overview obtained from the AI ​​model. The server converts this into a detailed schedule and a list of destinations, outputting it as a travel plan. Specifically, it determines which tourist destinations to visit and what activities to engage in.

[0530] Step 4:

[0531] The server selects or generates virtual experience content linked to the travel plan. Based on the output travel plan, the server selects an appropriate virtual experience. The input uses the details of the travel plan, and the process selects digital content that matches the user's emotional state. For example, for a user seeking relaxation, content including nature sounds and calming visuals is selected.

[0532] Step 5:

[0533] The server converts the selected travel plan and virtual experience content into a format optimized for the user's device and transmits it. Input includes the constructed travel plan and selected content. The server formats this information appropriately and outputs it in a format suitable for display on the device. The device displays the received data, making it easily accessible to the user.

[0534] Step 6:

[0535] Users view and experience the provided information on their devices. If a user's emotions change before or during their trip, that data is sent back to the server via the device. The server then dynamically adjusts the travel plan and virtual experience content in real time, ultimately providing the user with the latest optimized suggestions.

[0536] (Application Example 2)

[0537] 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."

[0538] Conventional travel plan generation systems provide plans based solely on user preference information, making it difficult to personalize plans by considering the user's real-time emotional state. Furthermore, providing appropriate products and services requires accurately recognizing the user's emotions and making suggestions based on those emotions. This creates a need to provide a more satisfying user experience.

[0539] 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.

[0540] In this invention, the server includes means for receiving preference information and emotional state input from a user and generating a travel plan based on said preference information and emotional state; selection means for selecting products or services according to the travel plan and emotional state; and provision means for providing the generated travel plan and selected products or services. This makes it possible to personalize travel plans and products or services according to the user's emotions.

[0541] A "user" is an individual or group that uses this system to generate travel plans.

[0542] "Preference information" refers to data about users' preferences and desires, and is used to generate travel plans.

[0543] "Emotional state" refers to a mental or emotional state perceived based on the user's facial expressions, tone of voice, and other factors.

[0544] A "travel plan" is a travel plan generated based on the user's preferences and emotional state.

[0545] "Generative means" refers to methods and devices for creating travel plans and selected products or services.

[0546] "Product or service" refers to a specific product or service offered in response to the user's emotional state.

[0547] "Selection means" refers to methods or devices for selecting appropriate products or services based on the user's emotional state.

[0548] "Means of delivery" refers to the methods and devices for providing the generated travel plan and selected products and services to the user.

[0549] In the system implementing this invention, the server generates a travel plan based on preference information and emotional state received from the user's terminal. The emotional state is primarily recognized in real time from facial expressions and voice. The hardware used here is the camera and microphone installed in the user's smartphone or smart glasses. This allows the emotion engine to recognize the user's emotions and send the data to the generating AI model. The AI ​​model is then input with prompts to suggest the optimal travel plan based on this data.

[0550] The software configuration involves using OpenCV for facial expression analysis and the Google Cloud Speech-to-Text API for speech emotion analysis, integrating these results to comprehensively determine the user's emotional state. Furthermore, a generative AI model, such as the OpenAI API, is used to select products and services based on the received emotion data.

[0551] These results are provided to the user's device by the server as a travel plan and selected products and services. The content is displayed in a format suitable for the device's display, establishing an intuitive user experience. Furthermore, if the user's emotions change, the system can instantly update the content accordingly.

[0552] For example, if a user indicates a desire to relax after work, the system might suggest a trip to a quiet resort and, in addition, present a set of relaxation-related products.

[0553] An example of a prompt message might be, "Please suggest relaxation products if the user is currently stressed. Also, please provide content that has an emotionally calming effect." This is the kind of input that would be given to the generating AI model.

[0554] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0555] Step 1:

[0556] The server receives preference information and real-time visual and audio data from the user's device. Inputs include preference information entered by the user on the device and visual and audio data acquired from the device's camera and microphone. Based on this data, the server prepares to analyze facial expressions using facial recognition technology.

[0557] Step 2:

[0558] The device uses its camera to capture facial images, which are then analyzed using OpenCV to extract emotional states from the user's facial expressions. For audio data, the Google Cloud Speech-to-Text API is used to convert the speech to text and perform emotion analysis. The output generates data indicating the user's emotional state.

[0559] Step 3:

[0560] The server combines the emotional state data obtained in step 2 with user preference information to create prompts for travel plan generation. It inputs the prompt text into the generation AI model and performs data calculations to suggest travel plans.

[0561] Step 4:

[0562] The generative AI model generates an optimal travel plan that matches the user's emotions and preferences based on prompts received from the server. The input to this process is a prompt sentence, and the output is a customized travel plan and a list of related products and services.

[0563] Step 5:

[0564] The server converts the generated travel plan and related product and service lists into a format suitable for the user's device. Specifically, it formats the data to fit the screen of a smartphone or smart glasses, preparing it for delivery to the user.

[0565] Step 6:

[0566] The user's device displays the travel plan and related products and services on the screen, according to the format provided in Step 5. This allows the user to intuitively see travel suggestions and product options that match their emotional state and begin their experience.

[0567] 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.

[0568] 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.

[0569] 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.

[0570] [Fourth Embodiment]

[0571] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0572] 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.

[0573] 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).

[0574] 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.

[0575] 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.

[0576] 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).

[0577] 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.

[0578] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0579] 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.

[0580] 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.

[0581] 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.

[0582] 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.

[0583] 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".

[0584] The primary objective of the present invention is to generate travel plans tailored to the user's preferences and to provide virtual experiences related to those plans. This allows users to enjoy a combination of real-world travel experiences and virtual experiences.

[0585] First, the user inputs their preferences, such as interests, budget, and desired travel style, through their device. This information is then sent from the device to the server. The server uses this preference information obtained from the user and leverages a generative AI model to generate a personalized travel plan. The generated travel plan includes sightseeing destinations, recommended activities, and a travel itinerary.

[0586] Next, the server selects or generates appropriate virtual experience content based on the generated travel plan. If selecting from an existing content library, it searches for and selects virtual experiences relevant to the travel plan. Furthermore, if the user has specific requests, it is possible to create a newly personalized virtual sightseeing experience using the generation AI.

[0587] The server then converts the generated travel plan and selected or generated virtual experience content into a format suitable for the user's device. This improves display efficiency on the user's device and allows for a smoother experience.

[0588] Users can review travel plans and virtual experiences generated through their devices. By virtually experiencing destinations beforehand, they can deepen their understanding of and anticipation for unfamiliar tourist spots.

[0589] For example, if a user wants to explore a historical tourist site, the server can provide a travel plan that takes them to historical landmarks and generate an XR experience that recreates past events. In this way, users can learn in advance through virtual experiences, further enhancing their enjoyment of their visit to the actual location.

[0590] As described above, the system of the present invention makes it possible to integrate real-world travel with virtual experiences and provide users with a cost-effective, diverse, and enriching travel experience.

[0591] The following describes the processing flow.

[0592] Step 1:

[0593] The user uses a device to input information about their travel preferences. This information includes desired destinations, activities of interest, budget, and travel dates. Once the input is complete, the device sends this information to the server.

[0594] Step 2:

[0595] The server analyzes the received user preference information and calls a generation AI model to generate a personalized travel plan. The generated travel plan includes suggested tourist destinations based on the user's interests, recommended routes, and estimated costs.

[0596] Step 3:

[0597] The server selects virtual experience content corresponding to the generated travel plan. It searches for and selects an appropriate virtual experience from the content library, but if there is a special request, it uses a generation AI to create a new virtual experience.

[0598] Step 4:

[0599] The server converts travel plans and selected or generated virtual experience content into a format suitable for the user's device. This includes processes such as data compression and encoding to make it suitable for display on the device.

[0600] Step 5:

[0601] The device receives travel plans and virtual experience content sent from the server and presents them visually to the user. The user can then review the provided plan on the device and begin the virtual experience.

[0602] Step 6:

[0603] After the trip, users input feedback about their actual and virtual travel experiences through their device. This feedback is sent to a server, which uses it to improve the generated AI model.

[0604] (Example 1)

[0605] 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".

[0606] In personalizing travel plans and providing virtual experiences, conventional systems have been unable to adequately accommodate the diverse preferences of users, and it has been difficult for users to gain a concrete experience of their destination before traveling. As a result, users risk wasting budget and time, and the quality of their travel experience suffers.

[0607] 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.

[0608] In this invention, the server includes means for receiving preference information input from a user and generating a travel plan based on said preference information; means for selecting or generating virtual experience data related to the travel plan; means for converting the generated travel plan and the selected or generated virtual experience data into a format suitable for the user terminal and providing it; and means for using a generative artificial intelligence model for selecting or generating the travel plan and virtual experience data. This makes it possible to personalize travel plans according to the diverse preferences of users and to provide virtual experiences in advance.

[0609] A "user" refers to an individual or group that uses an information system to generate a travel plan and obtain a virtual experience based on it.

[0610] "Preference information" refers to data that indicates individualized needs and preferences that should be considered when planning a trip, such as a user's interests, budget, and travel style.

[0611] A "travel plan" is a proposed outline of the entire trip, including destinations, activities, and itinerary, generated based on the user's preferences.

[0612] "Virtual experience data" refers to digital content that represents computer-generated experiences provided for the purpose of mimicking or complementing actual travel.

[0613] "Generative artificial intelligence models" refer to algorithms and machine learning models used to generate optimal travel plans and virtual experience data using user preference information as input.

[0614] A "terminal" refers to an electronic device used by a user to input information and receive and display generated travel plans and virtual experience data.

[0615] A "server" refers to a computer system that processes information and manages the sending and receiving of data to and from terminals.

[0616] "Means" refer to the technical steps, methods, or processes used to achieve a particular objective.

[0617] This invention is a system that generates travel plans based on user preference information and provides related virtual experiences. Users input preference information such as interests, budget, and travel style using a terminal. This allows the user's needs and desires to be concretely expressed.

[0618] The terminal encrypts the entered preference information using the SSL / TLS protocol and sends it to the server. The server generates a travel plan based on the received preference information using a generative artificial intelligence model. This model employs machine learning algorithms. The generated travel plan includes destinations, recommended activities, and itinerary.

[0619] Next, the server selects or generates virtual experience data related to the travel plan. This may involve selecting an appropriate experience from an existing content library, or it may use a generative artificial intelligence model to generate a new virtual experience tailored to the user. For example, if the user wants to visit a historical tourist site, the server will generate a virtual experience that recreates past events.

[0620] The generated travel plans and virtual experience data are converted to a format optimized for the device and provided to the user. This conversion utilizes data format conversion technology to ensure smooth display on the device screen. Users can visually review the generated travel plans and virtual experiences through their devices and use them as preparation for their actual trips.

[0621] An example of a prompt message would be: "The user has entered that they want to visit historical tourist sites. Their budget is moderate, and their area of ​​interest is ancient civilizations. Please generate a travel plan and associated virtual experience based on this." This allows for the provision of high-quality travel plans and virtual experiences that meet the user's expectations.

[0622] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0623] Step 1:

[0624] The user enters preference information using a terminal. This information includes travel destinations, activities of interest, and budget ranges. The entered information is used as basic data for the next processing step.

[0625] Step 2:

[0626] The device sends the entered preference information to the server. HTTP requests are used for transmission, and the information is encrypted using SSL / TLS to ensure data security. As a result, the preference information reaches the server safely.

[0627] Step 3:

[0628] The server analyzes the received preference information and generates a suitable travel plan using a generative artificial intelligence model. Specifically, it inputs prompts into the AI ​​model based on the user's interests and budget, and outputs a plan that includes destinations, activities, and a schedule.

[0629] Step 4:

[0630] The server selects or generates virtual experience data based on the generated travel plan. This may involve selecting relevant experiences from an existing content library, or generating new virtual experiences using AI models based on specific requirements. The selected data serves as output that adds depth to the travel plan.

[0631] Step 5:

[0632] The server converts travel plans and virtual experience data into a format that can be properly displayed on the device. Specifically, it performs data format conversion, converting JSON data into HTML or XML format that can be displayed on the device. This process reduces user stress related to the display.

[0633] Step 6:

[0634] Users view the travel plan and virtual experience displayed on their device. They can access detailed information by scrolling or tapping and try out the provided virtual experience. As a result, users gain a deeper understanding of their destination before actually traveling.

[0635] (Application Example 1)

[0636] 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".

[0637] The challenge lies in integrating real-world travel with virtual experiences, providing a system that allows users to browse and purchase products through a virtual environment. Conventional travel planning systems only provide plans based on user preferences and lack a way to enable pre-purchase shopping experiences in a virtual environment.

[0638] 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.

[0639] In this invention, the server includes a generation means for receiving preference information input by a user and generating a travel plan based on said preference information; a means for selecting or generating virtual experience content related to the travel plan; a provision means for providing the generated travel plan and the selected or generated virtual experience content; and a virtual purchase means for browsing and purchasing products in a virtual environment. This makes it possible for the user to smoothly purchase related products while engaging in various virtual experiences related to the travel plan in advance.

[0640] A "user" is an entity that inputs preference information into a system and receives a virtual experience.

[0641] "Preference information" refers to information about a user's interests, budget, and travel style that they provide to generate a travel plan.

[0642] A "travel plan" is a travel plan that includes destinations and recommended activities generated based on preferences.

[0643] A "generation means" is a means that has the function of receiving user preference information and generating a travel plan based on that information.

[0644] "Virtual experience content" refers to content that provides virtual sightseeing and shopping experiences related to travel planning.

[0645] "Means of selection or generation" refers to means of selecting or newly generating appropriate virtual experience content in relation to a travel plan.

[0646] "Means of delivery" refers to the means of providing users with the generated travel plans and virtual experience content.

[0647] A "virtual environment" is a virtual space where users can experience sightseeing and shopping as if they were in real life.

[0648] A "virtual purchasing method" is a means that enables users to browse and purchase products in a virtual environment.

[0649] The system for implementing this invention generates travel plans based on user preferences and provides a virtual experience. First, the user inputs preference information such as their interests, budget, and desired travel style using a terminal. This information is then transmitted from the terminal to the server.

[0650] The server generates personalized travel plans using a generative AI model based on user preference information. For example, OpenAI's GPT is used as this generative AI model. The generated travel plan includes destinations to visit and recommended activities.

[0651] Next, the server selects or generates virtual experience content related to the travel plan. It either selects a relevant virtual experience from an existing content library or creates a new virtual travel experience using a generation AI according to the user's specific requests.

[0652] The generated travel plans and virtual experience content are converted to a format suitable for the user's device, depending on the delivery method. Specifically, a virtual environment built using Unity is displayed on the device. Users can experience places and related products through the virtual space using a VR headset such as the Oculus Quest 2.

[0653] Furthermore, virtual purchasing methods allow users to browse and purchase products within a virtual environment. For example, users can experience a virtual tour of Paris and purchase local specialties featured in the tour from a virtual store.

[0654] As a concrete example, consider a case where a user enters "I am interested in an Italian wine tour." In this case, the server generates a virtual tour of famous Italian wine-producing regions and introduces the specialty products of the relevant wineries within the virtual environment.

[0655] Examples of prompt statements include the following:

[0656] "The user is interested in an Italian wine tour, has a moderate budget, and wants to visit places where they can sample wine. Please generate a travel plan that meets these conditions."

[0657] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0658] Step 1:

[0659] Users use their devices to input their preferences. This information includes places of interest, travel budget, and desired experience style. The entered data is formatted into JSON or another format and sent to the server.

[0660] Step 2:

[0661] The server creates and sends a prompt message to the generating AI model based on the received preference information. The generating AI model analyzes this prompt message and generates travel plan data that matches the user's preferences. The data processing performed by the AI ​​includes generating tourist destination and activity information related to the user's request and constructing the plan data. The output of this process is the travel plan data.

[0662] Step 3:

[0663] The server selects or generates virtual experience content to be associated with the generated travel plan data. It searches for relevant virtual experiences from the content library and selects the most suitable content. It performs data calculations to obtain positive feedback and selects the content that best matches the user request. The output is virtual experience content data.

[0664] Step 4:

[0665] The server converts the generated travel plan and virtual experience content into a format suitable for the user's device. This format conversion includes processing to create datasets compatible with 3D viewers and VR environments. The input for this step is the plan data and content data, and the output is the converted data format.

[0666] Step 5:

[0667] The terminal uses the converted data received from the server to recreate the virtual environment for the user. The user, using a VR headset, can visit planned tourist destinations within the virtual space and browse and purchase related products. The output of this step is a visual and interactive user experience.

[0668] 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.

[0669] The present invention aims to provide a more personalized travel experience by combining the generation of travel plans based on user preferences with an emotion engine that recognizes user emotions.

[0670] When users input travel preferences through their devices, their emotions are recognized in real time through visual and voice input. The emotion engine analyzes facial expressions and tone of voice to determine the user's emotional state. This determination is sent to the server and used to generate travel plans. For example, if a user indicates a desire for a relaxing trip, the server can generate a plan to visit a quiet resort.

[0671] The server integrates the emotion recognition results into a generating AI model to create a travel plan that takes the user's emotional state into account. This plan includes tourist destinations and activities that fit the user's emotions and can be adjusted as needed while reviewing real-time emotion analysis results.

[0672] Furthermore, the server reflects the results of the emotion engine when selecting or generating virtual experience content that corresponds to the travel plan. For example, if the user shows excitement or curiosity, adventure experience content will be selected. On the other hand, if the user is in a calm mood, content that promotes relaxation will be selected.

[0673] The server then converts this information into a format suitable for the user's device, enabling smooth display and operation on the device. Users can enjoy the generated travel plan and virtual experience on their device, and the emotion engine can adaptively optimize the experience by recognizing changes in their emotions immediately before and during the trip.

[0674] For example, if a user expresses interest in a beach resort and indicates a calm mood during input, the server will suggest a relaxation plan that includes reading and massage on the beach. In this case, virtual experience content that allows users to enjoy the sound of waves and beachside scenery will be selected.

[0675] In this way, the system of the present invention can provide users with a more deeply satisfying travel experience through the recognition and application of emotions.

[0676] The following describes the processing flow.

[0677] Step 1:

[0678] Users input travel preference information using their device. This information includes places they want to visit, desired activities, budget, and travel dates. The device also uses a camera and microphone to capture the user's facial expressions and voice in real time, and an emotion engine recognizes the user's emotions.

[0679] Step 2:

[0680] The device sends the results of emotion recognition to the server along with the user's preference information. The server analyzes the received information and, based on the output of the emotion engine, understands the user's current emotional state. This information is taken into consideration in the travel plan generation process.

[0681] Step 3:

[0682] The server uses a generative AI model to generate travel plans based on user preference information and emotional data. For example, if a user indicates a calm emotional state, the plan will focus on relaxing activities. Conversely, if an excited emotional state is detected, the plan will recommend active activities.

[0683] Step 4:

[0684] The server selects or generates virtual experience content related to the travel plan. The selection process incorporates the results of emotion recognition, aiming to provide an experience that matches the user's emotions. For example, it selects content that prioritizes a sense of security or content that enhances excitement, ensuring a harmonious emotional experience.

[0685] Step 5:

[0686] The server converts the generated travel plan and virtual experience content into a format suitable for the user's device. This allows the device to smoothly play and display the content. After format conversion, the server sends this data to the device.

[0687] Step 6:

[0688] The device receives data sent from the server and presents it to the user visually. The user can view the travel plan on the device and enjoy a virtual experience that responds to their emotions. If their emotions change during the trip, the device can capture those emotions further and send feedback to the server, allowing the experience to be updated accordingly.

[0689] (Example 2)

[0690] 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".

[0691] Conventional travel planning systems are limited to considering user preferences, making it difficult to create flexible plans that respond to real-time emotional changes. Furthermore, if the travel plan and virtual experience do not match the user's emotional state, there is a problem of decreased satisfaction with the travel experience.

[0692] 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.

[0693] In this invention, the server includes a generation means for receiving preference information and emotional data input from the user and generating a travel plan, a means for selecting or generating virtual experience content related to the travel plan, and a provision means for providing the generated travel plan and the selected or generated virtual experience content, and dynamically optimizing them according to the user's emotional state. This makes it possible to provide a flexible and highly satisfying travel experience that is suited to the user's emotional state.

[0694] "Preference information" refers to data that represents the user's preferences and interests in relation to travel planning.

[0695] "Emotional data" refers to information that indicates a user's emotions and psychological state, and is obtained through real-time input and analysis.

[0696] A "travel plan" is a suggestion that includes travel itinerary, destinations, and activities, built based on the user's preference information and emotional data.

[0697] "Generation method" refers to a technical approach that uses machine learning algorithms to construct travel plans based on information received from users.

[0698] "Virtual experience content" refers to digital content provided to users, including visual and auditory experiences related to travel planning.

[0699] "Delivery method" refers to the method of delivering the generated travel plan and virtual experience content to the user and making flexible changes as needed.

[0700] An "information processing device" refers to a terminal device that processes digital data and allows users to check and operate their travel plans.

[0701] This invention is a system that generates individually optimized travel plans by utilizing user preference information and emotional data. Implementing this invention requires a terminal equipped with emotion recognition capabilities, a server connected thereto, and a generation AI model.

[0702] The device is equipped with input devices such as a camera and microphone to collect visual and audio data from the user. This allows for real-time analysis of the user's emotional state and the generation of emotional data. This emotional data, along with the user's preference information, is then transmitted to the server.

[0703] The server uses a generative AI model to create a travel plan based on the received preference and emotional data. This generative AI model uses machine learning algorithms to generate prompts that correspond to the user's input data. For example, a possible prompt might be, "Please suggest a beach resort travel plan suitable for when the user's emotional state is calm and relaxed." Based on this prompt, the generative AI model constructs a travel plan that is optimal for the user's emotional state.

[0704] The generated travel plan includes tourist destinations and activities tailored to the user's situation and emotional state. Furthermore, the server selects and provides virtual experiences related to the travel plan. The selected virtual experiences digitally recreate the user's favorite experiences, and are adjusted according to the user's emotional state, for example, providing nature sounds for users in a calm mood and adventure videos for excited users.

[0705] The server then converts the generated travel plan and virtual experience into a format suitable for use with an information processing device and sends it to the user's terminal. The terminal displays the provided information to the user in the appropriate format. Through the terminal, the user can review the generated travel plan and enjoy the virtual experience.

[0706] In this way, the system of the present invention provides users with a highly satisfying experience by offering flexible travel plans that reflect the user's changing emotional state in real time.

[0707] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0708] Step 1:

[0709] The user inputs preference information and emotional data through the device. The device collects visual and audio data using its camera and microphone and transmits this to the emotion recognition engine in real time. Input includes the user's facial expressions and tone of voice. The device analyzes this information and outputs the user's emotional state as data.

[0710] Step 2:

[0711] The server receives emotional data and preference information sent from the terminal. Based on the received data, the server uses a generative AI model to generate a travel plan. Here, the input includes the user's preference information and emotional data, and prompt statements are generated. For example, the input to the AI ​​model might say, "If the user is looking for a relaxing trip, suggest suitable places." Based on the prompt statements, the server outputs data to suggest travel locations and activities.

[0712] Step 3:

[0713] The server constructs a detailed travel plan based on the output of the generated AI model. The input includes a travel overview obtained from the AI ​​model. The server converts this into a detailed schedule and a list of destinations, outputting it as a travel plan. Specifically, it determines which tourist destinations to visit and what activities to engage in.

[0714] Step 4:

[0715] The server selects or generates virtual experience content linked to the travel plan. Based on the output travel plan, the server selects an appropriate virtual experience. The input uses the details of the travel plan, and the process selects digital content that matches the user's emotional state. For example, for a user seeking relaxation, content including nature sounds and calming visuals is selected.

[0716] Step 5:

[0717] The server converts the selected travel plan and virtual experience content into a format optimized for the user's device and transmits it. Input includes the constructed travel plan and selected content. The server formats this information appropriately and outputs it in a format suitable for display on the device. The device displays the received data, making it easily accessible to the user.

[0718] Step 6:

[0719] Users view and experience the provided information on their devices. If a user's emotions change before or during their trip, that data is sent back to the server via the device. The server then dynamically adjusts the travel plan and virtual experience content in real time, ultimately providing the user with the latest optimized suggestions.

[0720] (Application Example 2)

[0721] 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".

[0722] Conventional travel plan generation systems provide plans based solely on user preference information, making it difficult to personalize plans by considering the user's real-time emotional state. Furthermore, providing appropriate products and services requires accurately recognizing the user's emotions and making suggestions based on those emotions. This creates a need to provide a more satisfying user experience.

[0723] 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.

[0724] In this invention, the server includes means for receiving preference information and emotional state input from a user and generating a travel plan based on said preference information and emotional state; selection means for selecting products or services according to the travel plan and emotional state; and provision means for providing the generated travel plan and selected products or services. This makes it possible to personalize travel plans and products or services according to the user's emotions.

[0725] A "user" is an individual or group that uses this system to generate travel plans.

[0726] "Preference information" refers to data about users' preferences and desires, and is used to generate travel plans.

[0727] "Emotional state" refers to a mental or emotional state perceived based on the user's facial expressions, tone of voice, and other factors.

[0728] A "travel plan" is a travel plan generated based on the user's preferences and emotional state.

[0729] "Generative means" refers to methods and devices for creating travel plans and selected products or services.

[0730] "Product or service" refers to a specific product or service offered in response to the user's emotional state.

[0731] "Selection means" refers to methods or devices for selecting appropriate products or services based on the user's emotional state.

[0732] "Means of delivery" refers to the methods and devices for providing the generated travel plan and selected products and services to the user.

[0733] In the system implementing this invention, the server generates a travel plan based on preference information and emotional state received from the user's terminal. The emotional state is primarily recognized in real time from facial expressions and voice. The hardware used here is the camera and microphone installed in the user's smartphone or smart glasses. This allows the emotion engine to recognize the user's emotions and send the data to the generating AI model. The AI ​​model is then input with prompts to suggest the optimal travel plan based on this data.

[0734] The software configuration involves using OpenCV for facial expression analysis and the Google Cloud Speech-to-Text API for speech emotion analysis, integrating these results to comprehensively determine the user's emotional state. Furthermore, a generative AI model, such as the OpenAI API, is used to select products and services based on the received emotion data.

[0735] These results are provided to the user's device by the server as a travel plan and selected products and services. The content is displayed in a format suitable for the device's display, establishing an intuitive user experience. Furthermore, if the user's emotions change, the system can instantly update the content accordingly.

[0736] For example, if a user indicates a desire to relax after work, the system might suggest a trip to a quiet resort and, in addition, present a set of relaxation-related products.

[0737] An example of a prompt message might be, "Please suggest relaxation products if the user is currently stressed. Also, please provide content that has an emotionally calming effect." This is the kind of input that would be given to the generating AI model.

[0738] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0739] Step 1:

[0740] The server receives preference information and real-time visual and audio data from the user's device. Inputs include preference information entered by the user on the device and visual and audio data acquired from the device's camera and microphone. Based on this data, the server prepares to analyze facial expressions using facial recognition technology.

[0741] Step 2:

[0742] The device uses its camera to capture facial images, which are then analyzed using OpenCV to extract emotional states from the user's facial expressions. For audio data, the Google Cloud Speech-to-Text API is used to convert the speech to text and perform emotion analysis. The output generates data indicating the user's emotional state.

[0743] Step 3:

[0744] The server combines the emotional state data obtained in step 2 with user preference information to create prompts for travel plan generation. It inputs the prompt text into the generation AI model and performs data calculations to suggest travel plans.

[0745] Step 4:

[0746] The generative AI model generates an optimal travel plan that matches the user's emotions and preferences based on prompts received from the server. The input to this process is a prompt sentence, and the output is a customized travel plan and a list of related products and services.

[0747] Step 5:

[0748] The server converts the generated travel plan and related product and service lists into a format suitable for the user's device. Specifically, it formats the data to fit the screen of a smartphone or smart glasses, preparing it for delivery to the user.

[0749] Step 6:

[0750] The user's device displays the travel plan and related products and services on the screen, according to the format provided in Step 5. This allows the user to intuitively see travel suggestions and product options that match their emotional state and begin their experience.

[0751] 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.

[0752] 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.

[0753] 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 robot 414.

[0754] 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.

[0755] 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.

[0756] 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.

[0757] 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.

[0758] 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.

[0759] 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."

[0760] 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.

[0761] 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.

[0762] 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.

[0763] 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.

[0764] 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.

[0765] 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.

[0766] 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.

[0767] 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.

[0768] 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.

[0769] 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.

[0770] 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.

[0771] 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.

[0772] The following is further disclosed regarding the embodiments described above.

[0773] (Claim 1)

[0774] A generation means that receives preference information entered by the user and generates a travel plan based on said preference information,

[0775] Means for selecting or generating virtual experience content related to the aforementioned travel plan,

[0776] A means for providing the generated travel plan and selected or generated virtual experience content,

[0777] A system that includes this.

[0778] (Claim 2)

[0779] The system according to claim 1, wherein the generation means generates a travel plan using a machine learning model.

[0780] (Claim 3)

[0781] The system according to claim 1, wherein the providing means converts the travel plan and virtual experience content into a format suitable for the terminal.

[0782] "Example 1"

[0783] (Claim 1)

[0784] A means for receiving preference information entered by a user and generating a travel plan based on said preference information,

[0785] Means for selecting or generating virtual experience data related to the aforementioned travel plan,

[0786] A means for converting the generated travel plan and selected or generated virtual experience data into a format suitable for the user's terminal and providing it,

[0787] A means of using a generative artificial intelligence model for selecting or generating travel plans and virtual experience data,

[0788] A system that includes this.

[0789] (Claim 2)

[0790] The system according to claim 1, which generates prompt sentences using the generative artificial intelligence model and forms an optimal travel plan.

[0791] (Claim 3)

[0792] The system according to claim 1, wherein the means for providing the data uses a data format suitable for display on a user's terminal.

[0793] "Application Example 1"

[0794] (Claim 1)

[0795] A generation means that receives preference information entered by the user and generates a travel plan based on said preference information,

[0796] Means for selecting or generating virtual experience content related to the aforementioned travel plan,

[0797] A means for providing the generated travel plan and selected or generated virtual experience content,

[0798] A virtual purchasing method for browsing and purchasing products in a virtual environment,

[0799] A system that includes this.

[0800] (Claim 2)

[0801] The system according to claim 1, wherein the generation means generates a travel plan using an artificial intelligence model.

[0802] (Claim 3)

[0803] The system according to claim 1, wherein the providing means converts the travel plan and virtual experience content into a format suitable for an information processing device.

[0804] "Example 2 of combining an emotion engine"

[0805] (Claim 1)

[0806] A generation means that receives preference information and emotional data entered by the user and generates a travel plan based on that information,

[0807] Means for selecting or generating virtual experience content related to the aforementioned travel plan,

[0808] A means for providing the generated travel plan and selected or generated virtual experience content, and dynamically optimizing it according to the emotional state,

[0809] Means for converting the provided travel plan and virtual experience content into a format suitable for an information processing device,

[0810] A system that includes this.

[0811] (Claim 2)

[0812] The system according to claim 1, wherein the generation means generates a travel plan using a machine learning algorithm and generates prompt sentences appropriate to the user's emotional state.

[0813] (Claim 3)

[0814] The aforementioned provisioning means is the system according to claim 1, which adjusts the virtual experience content in real time based on the user's emotional changes.

[0815] "Application example 2 when combining with an emotional engine"

[0816] (Claim 1)

[0817] A generation means that receives preference information and emotional state input from the user, and generates a travel plan based on said preference information and emotional state,

[0818] A selection method for selecting products or services that correspond to the aforementioned travel plan and emotional state,

[0819] The means of providing the generated travel plan and selected goods or services,

[0820] A system that includes this.

[0821] (Claim 2)

[0822] The system according to claim 1, wherein the generation means generates a travel plan using a machine learning model and selects a product or service using the emotion recognition result.

[0823] (Claim 3)

[0824] The system according to claim 1, wherein the providing means converts travel plans and products or services into a format suitable for the terminal and provides a virtual experience that responds to the user's emotions. [Explanation of Symbols]

[0825] 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. A generation means that receives preference information entered by the user and generates a travel plan based on said preference information, Means for selecting or generating virtual experience content related to the aforementioned travel plan, A means for providing the generated travel plan and selected or generated virtual experience content, A system that includes this.

2. The system according to claim 1, wherein the generation means generates a travel plan using a machine learning model.

3. The system according to claim 1, wherein the providing means converts the travel plan and virtual experience content into a format suitable for the terminal.

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