system

Abstract

Provide a system. 【Solution means】 An input device that receives travel conditions from a user, An information acquisition device that collects transportation means information, accommodation means information, and tourist destination information from information sources on a communication network, A plan generation device that creates a travel plan based on the user's preferences using a generative AI algorithm, A presentation device that presents the created travel plan to the user and accepts the user's selection, A reservation device that automatically makes reservations for transportation means and accommodation means according to the travel plan selected by the user, A navigation device that provides important preparation information regarding travel and movement support at the destination, A visualization device that uses virtual reality technology to realize route guidance at the destination and visualization of tourist destination information, A system including the above.

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 character of the chatbot, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] Current travel plans have the problems that it is difficult to make flexible plans corresponding to personal preferences and desired conditions, the degree of freedom of choice is limited in travel agency tours, and individual arrangements are time-consuming. In addition, due to the concentration of travel destinations and schedules, social problems such as congestion and soaring prices have also occurred. The present invention aims to increase the degree of freedom of travel plans, reduce the labor and costs of users, and improve the efficiency of travel for the whole society.

Means for Solving the Problems

[0005] This invention efficiently generates and proposes travel plans tailored to individual user preferences by providing means for inputting user travel conditions, means for collecting necessary travel information from external sources, means for generating appropriate travel plans using a generative AI model, means for presenting the generated plan to the user and automating reservations, and means for supporting travel preparation and navigation. It also improves travel convenience by providing transportation transfer guidance and virtual reality guidance for walking routes. Furthermore, it promotes the distribution of travel and alleviates congestion by suggesting optimal travel dates and destinations according to reservation status.

[0006] A "user" is an individual or group that uses the system to plan a trip.

[0007] "Travel conditions" refer to information related to the user's desired trip, including destination, budget, and duration of the trip.

[0008] "Input method" refers to the interface or function that allows the user to input travel conditions into the system.

[0009] The "Internet" is a communication network that interconnects computer networks around the world.

[0010] An "external information source" refers to a database or service that provides information on transportation, accommodation, tourist destinations, etc., which the system accesses to obtain the information it needs.

[0011] "Transportation information" refers to information about the means and routes necessary for travel, including schedules and fares for trains, buses, airplanes, etc.

[0012] "Accommodation information" refers to information about accommodations at a travel destination, including the location, price, and availability of hotels and inns.

[0013] "Tourist information" refers to information about tourist attractions in a travel destination, including details about places that can be visited and events that can be held.

[0014] "Information acquisition means" refers to the functions and processes for collecting necessary data from external information sources.

[0015] A "generative AI model" refers to an artificial intelligence model or algorithm used to generate travel plans based on user preferences.

[0016] "Plan generation means" refers to the functions and processes used to construct travel plans based on collected data.

[0017] A "travel plan" is a plan created to give concrete form to a user's trip, and includes details such as the itinerary, destinations, and means of transportation.

[0018] "Presentation method" refers to a function that displays the generated travel plan to the user and proposes it as an option.

[0019] "Reservation method" refers to a system function that automatically makes reservations for transportation and accommodation based on the travel plan selected by the user.

[0020] "Navigation means" refers to the function of a system that provides the necessary routes and guidance for a user to reach their destination during a trip.

[0021] "Virtual reality navigation" is a technology that uses computer graphics to recreate real-world environments and spaces, allowing users to experience them and be guided through them.

[0022] "Decentralization" refers to means or methods of distributing demand and alleviating congestion by avoiding concentration at specific times or locations. [Brief explanation of the drawing]

[0023] [Figure 1]It is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] It is a conceptual diagram showing an example of the main functions of a data processing device and a smart device according to the first embodiment. [Figure 3] It is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] It 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] It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It 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] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It 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] It shows an emotion map to which a plurality of emotions are mapped. [Figure 10] It shows an emotion map to which a plurality of emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when an emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when an emotion engine is combined.

Embodiments for Carrying Out the Invention

[0024] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0025] First, let's explain the terminology used in the following explanation.

[0026] In the following embodiments, the signed processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Furthermore, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include CPU (Central Processing Unit), GPU (Graphics Processing Unit), GPGPU (General-Purpose computing on Graphics Processing Units), and APU (Accelerated Processing Unit).

[0027] In the following embodiments, signed RAM (Random Access Memory) is a memory that temporarily stores information and is used as work memory by the processor.

[0028] In the following embodiments, the signed storage is one or more non-volatile storage devices that store various programs and various parameters. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes.

[0029] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0030] 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."

[0031] [First Embodiment]

[0032] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0033] 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.

[0034] 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).

[0035] 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.

[0036] 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.

[0037] 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.

[0038] 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.

[0039] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0040] 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.

[0041] 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.

[0042] 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.

[0043] 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".

[0044] This invention is a comprehensive support system designed to reduce the burden on users when planning trips and to provide travel experiences that better match individual preferences. This system integrates and implements multiple processes, including user input, information collection and analysis, travel plan generation, automated booking, and navigation support during travel.

[0045] The system begins with the user entering their travel preferences, such as destination, budget, duration, and activities of interest. Upon receiving this information, the server accesses external information sources on the internet in real time to gather information on transportation, accommodation, and tourist attractions.

[0046] The collected information is sent to a generation AI model on the server, which generates multiple optimized travel plans based on the user's preferences and conditions. Cost-effectiveness and schedule convenience are also considered. The generated plans are presented to the user via their device, allowing them to select a plan after reviewing detailed information and ratings.

[0047] Once the user selects the optimal travel plan, the server automatically makes reservations for transportation and accommodation based on that plan. In this step, the reservation process is completed using the API of each booking provider, and confirmation information is generated.

[0048] During the travel planning and while traveling, the device provides helpful information. Before departure, it presents a list of necessary preparations, and during the trip, it provides navigation assistance at the destination. This includes public transport transfer information and virtual reality guidance for walking routes.

[0049] For example, if a user inputs "I want to take a hot spring trip in the fall" into the system, the server will collect information on suitable hot spring resorts, accommodations, and transportation options in real time, and the AI ​​will suggest multiple plans. If the user selects the "Hakone Hot Spring 2-Night, 3-Day Plan," the server will automatically book the Shinkansen (bullet train) tickets and the hot spring inn, and notify the user's device of the reservation confirmation. Furthermore, on the day of the trip, the device's map app will provide virtual reality guidance showing the optimal walking route after arrival, supporting a smooth travel experience.

[0050] In this way, this system provides users with a seamless and personalized travel experience, establishing a new standard for travel planning.

[0051] The following describes the processing flow.

[0052] Step 1:

[0053] Users enter and submit their travel preferences (destination, budget, travel duration, activities of interest, etc.) through the terminal's interface.

[0054] Step 2:

[0055] The server receives travel conditions submitted by the user and analyzes them. Based on the analysis results, it then collects relevant information about transportation, accommodation, and tourist destinations from external sources on the internet.

[0056] Step 3:

[0057] The server inputs the collected information into a generating AI model, which automatically generates multiple travel plans that best match the user's preferences. This model optimizes the plans by considering factors such as cost, convenience, and ratings.

[0058] Step 4:

[0059] The server prepares the detailed information of the generated travel plan and sends it to the terminal.

[0060] Step 5:

[0061] The device displays the received travel plans to the user. The user reviews the plan details, and, while referring to ratings and reviews, selects the plan that best suits them.

[0062] Step 6:

[0063] Users select from several presented plans and confirm their desired travel plan by pressing the confirm button.

[0064] Step 7:

[0065] The server automates the booking process for transportation and accommodation based on the travel plan selected by the user. This is done using the APIs of each booking provider.

[0066] Step 8:

[0067] The server generates confirmation information once the reservation is complete and sends it to the terminal.

[0068] Step 9:

[0069] The device notifies the user of a packing list and important notes the day before the trip, helping them prepare for their trip.

[0070] Step 10:

[0071] The device provides virtual reality guidance for transportation transfers and walking routes at the destination on the day of travel, helping users enjoy their trip smoothly.

[0072] (Example 1)

[0073] 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."

[0074] Planning and booking travel typically involves using multiple websites and travel agencies individually, which is time-consuming and laborious. Furthermore, finding a travel plan that suits individual preferences and circumstances is difficult. Solving this challenge requires integrated information gathering and analysis, as well as the optimization and automation of travel planning.

[0075] 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.

[0076] In this invention, the server includes data collection means for receiving travel conditions from the user, information collection means for collecting transportation information, accommodation information, and tourist area information from external information sources on an information and communication network, and plan generation means for generating a large number of travel plans based on the user's preferences using generating AI. This makes it possible for the user to efficiently obtain travel plans that match their preferences and automate the booking process.

[0077] "Users" refer to people who use the system to plan their trips.

[0078] "Data collection methods" refer to the methods and procedures for receiving travel-related conditions from users.

[0079] "Information and communication network" refers to a network used to obtain information from external sources, including the Internet.

[0080] "External information sources" refer to services and databases that provide information on transportation options, accommodation options, tourist destinations, etc.

[0081] "Information gathering methods" refer to the methods and procedures for gathering necessary information from external sources.

[0082] "Transportation information" refers to information about the means of transportation available during a trip.

[0083] "Accommodation information" refers to information about accommodations available during travel.

[0084] "Tourist destination information" refers to information about tourist destinations that can be visited during a trip.

[0085] "Generative AI" refers to a method that uses artificial intelligence technology to generate travel plans based on user input.

[0086] "Plan generation means" refers to the method or procedure for generating a travel plan based on the user's desired conditions.

[0087] "Display means" refers to the methods and procedures for presenting a generated travel plan to the user and accepting their selections.

[0088] "Reservation procedures" refer to methods and procedures that automatically make reservations for transportation and accommodation based on the travel plan selected by the user.

[0089] "Guidance methods" refer to the methods and procedures for providing necessary preparation information for travel and guidance on transportation routes at the destination.

[0090] "Virtual reality" refers to a technology that uses computer technology to allow users to experience a visual environment different from the real world.

[0091] The system of the present invention provides users with personalized travel plans, enabling them to plan and book their trips more efficiently.

[0092] The user first enters travel details into the device, such as the destination, dates, budget, and specific interests. This device is usually a smartphone or computer, and information can be entered through a dedicated application or web interface.

[0093] Upon receiving input data from a user, the server accesses external information sources via the information and communication network to collect the latest data on transportation, accommodation, and tourist destinations. This information collection method includes airline APIs, accommodation APIs, and tourism information APIs, enabling real-time information retrieval.

[0094] The collected information is transferred to a generative AI model on the server. This generative AI model automatically generates multiple travel plans based on user input data and data collected from external sources. In this process, the optimal plan is formulated from multiple perspectives, including cost-effectiveness and schedule convenience.

[0095] These generated plans are presented to the user via their device. The user reviews the details of each plan on the device screen and selects the plan they like. After selection, the server uses an API to automatically make the necessary reservations, completing the booking process for transportation and accommodation.

[0096] Before and during the trip, the device provides the user with necessary information and instructions. Before departure, it presents a list of things to prepare, and at the destination, it can utilize navigation methods to provide virtual reality-based walking route guidance.

[0097] As a concrete example, when a user enters the prompt "I'm planning a hot spring trip in the fall. Please suggest some recommended hot spring resorts and itineraries," the server gathers information on suitable hot spring resorts based on that prompt and presents several optimized itineraries. If the user selects the "Hakone Hot Spring 2-Night, 3-Day Plan," the server automatically arranges Shinkansen tickets and makes reservations at the hot spring inn, and sends the necessary information to the user's device. This ensures a smooth travel experience.

[0098] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0099] Step 1:

[0100] The user uses a terminal to enter information about their travel plans. This input includes destination, budget, travel duration, and activities of interest. The terminal formats this information and sends it to the server. At this stage, user preference data is collected.

[0101] Step 2:

[0102] Upon receiving user input data, the server accesses external information sources via the information and communication network. This involves retrieving data from APIs related to transportation, accommodation, and tourist destinations. The server aggregates this information and filters it to match the user's criteria. This process yields useful travel-related data.

[0103] Step 3:

[0104] The server inputs aggregated data into a generative AI model. The generative AI model generates multiple travel plans based on this data and user conditions. The AI ​​model creates multiple options, considering cost-effectiveness and schedule optimization. These outputs become candidate plans to be presented to the user.

[0105] Step 4:

[0106] The server sends the generated travel plans to the terminal. The terminal displays these to the user, allowing them to review the details, costs, and convenience of each plan. Based on this information, the user selects the most suitable plan. This interface facilitates the user's comparison of each plan.

[0107] Step 5:

[0108] Based on the travel plan selected by the user, the server begins the booking process. This includes an automated process of booking transportation and accommodations using airline and accommodation APIs. After the booking is complete, confirmation information is generated.

[0109] Step 6:

[0110] The server notifies the terminal of the reservation confirmation information. The terminal displays this information to the user and presents digital ticket information, including the necessary reservation confirmation and QR code (registered trademark). This allows the user to receive immediately usable travel documents.

[0111] Step 7:

[0112] The device provides guidance during the travel planning phase and throughout the trip. Before departure, it sends the user a preparation list, and during the trip, it provides transportation transfer information and virtual reality-based walking route guidance. This navigation support allows users to travel smoothly to their destination.

[0113] (Application Example 1)

[0114] 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."

[0115] Modern travelers face the challenge of having to individually gather a lot of information and make decisions based on that information, such as selecting destinations, making reservations, and securing local transportation, which is time-consuming and laborious. Furthermore, in family travel, it is even more difficult to create a travel plan that satisfies each member due to differing interests and activities among generations. The aim is to solve these problems and enable individual travelers to plan and execute their trips comfortably.

[0116] 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.

[0117] In this invention, the server includes an input device that receives travel conditions from the user, an information acquisition device that collects information on means of transport, means of accommodation, and tourist destinations from information sources on a communication network, and a plan generation device that creates a travel plan based on the user's preferences using a generation AI algorithm. As a result, the user can easily receive a personalized travel plan while saving time and effort, and enjoy a more comfortable and efficient trip.

[0118] An "input device for receiving travel conditions from users" is an interface that allows travelers to input their travel destination, budget, itinerary, and preferred activities into the system.

[0119] An "information acquisition device that collects information on transportation methods, accommodation methods, and tourist destinations from information sources on a communication network" is a system device for automatically acquiring data on transportation, accommodation, and tourist destinations via the internet.

[0120] A "travel plan generation device that creates travel plans based on user preferences using a generation AI algorithm" is a device that uses artificial intelligence technology to analyze input travel conditions and devise the optimal travel plan that matches the traveler's preferences.

[0121] A "presentation device that displays created travel plans to the user and accepts the user's selection" is an interface that displays multiple generated travel plans to the traveler and allows them to select the plan they prefer from among them.

[0122] A "booking device that automatically makes reservations for transportation and accommodation according to the travel plan selected by the user" is a device that automatically completes the arrangement of transportation tickets and accommodations online based on the selected travel plan.

[0123] A "navigation device that provides important travel preparation information and assistance with transportation at the destination" is a digital device that informs travelers of necessary preparations before their trip and provides directions to help them travel effectively after arriving at their destination.

[0124] A "visualization device that uses virtual reality technology to provide directions to destinations and visualize information about tourist spots" is a device that provides real-time route guidance to destinations and visually displays the history and details of tourist spots.

[0125] The system of this invention aims to integrate a large amount of information to efficiently support travelers' planning and to provide a user-friendly service. This system mainly consists of three components: a server, a terminal, and a user.

[0126] The server plays a central role in collecting and processing information through the communication network. Based on travel conditions entered by the user, the server automatically retrieves information on transportation, accommodation, and tourist destinations from various sources on the internet. This includes backend data processing using Node.js and Express.

[0127] The acquired information is stored in MongoDB and then processed by a generative AI algorithm. Using the generative AI model, an optimal travel plan is created that takes into account the traveler's preferences and conditions. In this step, AI technologies such as GPT-3 (registered trademark) are used to create the travel plan.

[0128] On the user's device, multiple generated travel plans are presented through an intuitive user interface built with React Native. The user can select their preferred plan, and based on the selected plan, the server automatically completes online reservations for transportation and accommodation. Relevant APIs are used to manage the reservations.

[0129] Furthermore, real-time navigation and visual guidance features at tourist destinations are provided during travel. For this purpose, virtual reality technology utilizing ARKit and ARcore is used, and the device assists with real-time route guidance at the destination.

[0130] As a concrete example, let's say a user is planning a family trip to a hot spring resort in the fall. When the user inputs, "I want a 2-night, 3-day trip to a family-friendly hot spring resort in the fall," the server requests the AI ​​to generate the optimal plan based on this information, and the AI ​​creates the plan using the following prompts:

[0131] Places users want to visit: Hot spring resorts

[0132] We are looking for a family trip, in the fall, for 2 nights and 3 days.

[0133] Please provide five travel plans that meet these conditions.

[0134] In this way, users receive consistent support from planning and booking to during their trip, resulting in a productive and enjoyable travel experience.

[0135] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0136] Step 1:

[0137] The user enters travel details into their device. Specifically, they enter their travel destination, budget, dates, and activities of interest into the app's input form. This input information is sent to the server as initial data for the program.

[0138] Step 2:

[0139] Based on the received travel conditions, the server automatically collects transportation, accommodation, and tourist destination information from the communication network using an information acquisition device. Here, requests are sent to each information source via a RESTful API to obtain the necessary data. The output at this stage is raw data obtained from multiple information sources.

[0140] Step 3:

[0141] The acquired raw data is stored in MongoDB. The server uses this stored data as input to perform data analysis using a generative AI algorithm and generate multiple travel plans based on the user's preferences. A generative AI model such as GPT-3 is used to create prompt statements and design an optimized travel plan. In this process, the prompt statements become instructions to the AI ​​model, and a specific travel plan is output.

[0142] Step 4:

[0143] The server sends the generated travel plans to the device. The device presents these plans to the user through a user interface developed with React Native. The user compares the details of each plan and selects the one that best suits their preferences. This selection becomes the input for the next processing step.

[0144] Step 5:

[0145] Based on the selected travel plan, the server automatically proceeds with booking transportation and accommodation. It executes the necessary API calls to complete the booking process and obtain confirmation information. The output is a set of confirmation information indicating that all bookings have been completed.

[0146] Step 6:

[0147] Before and during a trip, the device provides the user with necessary preparation information and navigation assistance. Specifically, it displays a list of necessary items before departure and provides visual route guidance using virtual reality technology during the trip. It uses ARKit and ARcore to enhance on-site navigation and support the user's movement. As part of this function, specific directions and information about tourist attractions are displayed on the user's device.

[0148] 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.

[0149] This invention proposes a travel planning support system that incorporates an emotion engine to further personalize the user's travel experience. This system generates and presents travel plans that take the user's emotions into account, and automates the booking process.

[0150] This system recognizes the user's current emotional state using an emotion engine when the user inputs their travel preferences. This is achieved by analyzing the user's facial expressions and tone of voice using input devices (e.g., camera, microphone). Upon receiving this input information, the server collects necessary travel information from external sources on the internet and utilizes the emotional data obtained by the emotion engine to generate a travel plan.

[0151] The generative AI model integrates collected information and emotional data to automatically generate travel plans tailored to the user's emotions. For example, a user feeling stressed will be offered a relaxing plan, while an energetic user will be offered an active plan. The generated plans are presented to the user via their device, and the most suitable plan is prioritized based on the emotional engine's judgment.

[0152] Once a user selects a travel plan, the server makes real-time reservations for transportation and accommodation based on the chosen plan. During this process, emotional data is reconsidered to ensure selections that maximize user satisfaction.

[0153] The device notifies the user of pre-trip preparation information and provides interactive navigation and support based on an emotion engine during the trip. For example, if the user feels anxious at their destination, the device will provide clearer directions and activity recommendations.

[0154] For example, if a user enters "I want to relax on the beach in the summer," and the emotion engine determines from the user's facial expression that they are "somewhat tired," the server will generate a relaxation-focused plan. This plan would include a spa at a beach resort and quiet accommodation. Once the user approves this plan, the server makes the reservation, and the device receives a confirmation and a travel preparation notification. During the trip, relaxing music and guide information are provided, and adjustments are made to ensure the user has a comfortable experience.

[0155] This system provides a travel experience tailored to each user's individual emotional state, making travel planning more intuitive and satisfying.

[0156] The following describes the processing flow.

[0157] Step 1:

[0158] The user enters their travel preferences (destination, budget, travel duration, activities of interest, etc.) through their device, and allows the camera and microphone to be used by the emotion engine to analyze the user's emotional state.

[0159] Step 2:

[0160] The device sends the user's entered preferences to the server, and the emotion engine analyzes the collected facial expression and voice data to identify the user's emotional state.

[0161] Step 3:

[0162] The server analyzes the user's desired conditions and emotional state, and collects relevant information (transportation information, accommodation information, tourist destination information) from external sources on the internet.

[0163] Step 4:

[0164] The server uses a generative AI model to integrate collected travel information with user sentiment data and automatically generates multiple travel plans optimized for the user's emotions.

[0165] Step 5:

[0166] The server optimizes the generated travel plans, adjusts the display order of the plans based on sentiment data, and sends them to the device.

[0167] Step 6:

[0168] The device presents the generated travel plan to the user, who then reviews the plan details and selects their preferred plan.

[0169] Step 7:

[0170] The user selects the most suitable travel plan from the presented options and presses the confirm button to finalize their selection.

[0171] Step 8:

[0172] The server automatically makes real-time reservations for transportation and accommodation based on the travel plan selected by the user. During this process, the selection of destinations is made based on the user's emotional state.

[0173] Step 9:

[0174] The server confirms that the reservation is complete and sends the reservation details along with confirmation information to the terminal.

[0175] Step 10:

[0176] The device notifies the user of necessary preparation information before the trip, supporting the user in smoothly preparing for the trip.

[0177] Step 11:

[0178] The device monitors the user's emotional state in real time during the trip and provides changes to the travel plan or additional information as needed. In particular, it provides navigation and activity suggestions that enhance the user's sense of security and enjoyment.

[0179] (Example 2)

[0180] 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".

[0181] In travel planning, there is a growing need to provide personalized plans that take into account not only the user's specific conditions and travel preferences, but also the emotional experiences they wish to gain through their trip. However, existing systems struggle to take into account the user's emotional state, resulting in a challenge in providing the travel experience the user expects.

[0182] 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.

[0183] In this invention, the server includes input means for receiving travel preferences and emotional states from the user, information acquisition means for collecting transportation information, accommodation information, and tourist area information from external information sources on the Internet, and emotion recognition means for analyzing the user's facial expressions and tone of voice and recognizing the user's emotional state using an emotion engine. This makes it possible to generate a personalized travel plan based on the user's emotional state and provide the user with an optimal travel experience.

[0184] "Input means" refers to devices or methods for receiving information from users regarding their travel preferences and emotional state.

[0185] "Information acquisition means" refers to devices and methods for collecting information on transportation methods, accommodation facilities, and tourist areas from external information sources on the internet.

[0186] "Emotion recognition means" refers to devices or methods for analyzing a user's facial expressions and tone of voice, and recognizing the user's emotional state using an emotion engine.

[0187] A "plan generation means" refers to a device or method for generating multiple travel plans based on user sentiment data using a generation AI model.

[0188] A "presentation means" refers to a device or method for presenting a generated travel plan to a user and accepting the user's selection.

[0189] A "reservation method" refers to a device or method for automatically making reservations for transportation and accommodation based on a travel plan selected by the user.

[0190] A "navigation means" is a device or method for providing travel preparation information and on-site guidance according to the user's emotional state.

[0191] This invention relates to a travel planning support system that provides travel plans that take into account the user's emotional state. The system includes input means, information acquisition means, emotion recognition means, plan generation means, presentation means, reservation means, and navigation means.

[0192] First, the user inputs their travel preferences and emotional information via the device. The device is equipped with a camera and microphone, which allows it to capture the user's facial expressions and voice data.

[0193] Next, the server uses information acquisition means to collect necessary transportation information, accommodation information, and tourist area information from external sources on the internet, based on the user data received through the input means. This data is used to efficiently obtain the necessary information based on the user's travel conditions.

[0194] The emotion recognition system analyzes the user's facial expressions and voice data and uses an emotion engine to recognize the user's current emotional state. In this process, a sophisticated algorithm categorizes the user's emotions into categories such as relaxed, stressed, and energetic.

[0195] Based on this, the plan generation method uses a generation AI model to integrate user emotion data with information obtained from external sources and automatically generate multiple travel plans tailored to the user's emotional state. For example, the generation AI model might use prompts like: "If the user is seeking relaxation, please include quiet, scenic beach resorts as options."

[0196] The generated travel plan is presented to the user via the device. The presentation method prioritizes displaying the plan that best suits the user's state, based on the evaluation results of the emotion engine.

[0197] Once the user selects a plan, the server automatically uses the booking system to make reservations for transportation and accommodation according to the travel plan selected by the user.

[0198] Furthermore, the device provides users with travel preparation information and on-site navigation guidance. The navigation system takes the user's emotional state into consideration and adjusts the navigation to make on-site travel less stressful. For example, if the user gets lost, it provides clearer directions to give them a sense of security.

[0199] This system makes it easier for users to create and execute travel plans that suit their emotions and desires.

[0200] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0201] Step 1:

[0202] The user enters their travel preferences and emotional information into the terminal. This input includes data such as facial expressions and voice tone, captured using the available camera and microphone. The entered travel preferences and emotional information are then sent directly to the server for use in the next step.

[0203] Step 2:

[0204] The server uses an emotion engine to recognize the user's emotional state based on the received user's facial expressions and voice data. Specifically, it analyzes facial expressions using an image analysis algorithm and evaluates voice tone using a voice analysis algorithm. This process outputs an emotional state such as relaxed, stressed, or energetic.

[0205] Step 3:

[0206] Based on travel preferences, the server collects detailed information about transportation, accommodation, and tourist areas from external sources on the internet. The information retrieval system generates search queries and retrieves the necessary data from relevant resources. This information gathering process outputs the information needed for plan generation in the next step.

[0207] Step 4:

[0208] The server integrates emotional state data with external information and uses a generative AI model to automatically generate travel plans that match the user's emotions. Specifically, prompt sentences are input to the AI ​​model as prompts, and a corresponding travel plan is output. For example, a prompt such as "If the user is seeking relaxation, suggest a quiet beach resort" might be used.

[0209] Step 5:

[0210] The device presents the generated travel plan to the user. Based on the evaluation by the emotion engine, the most suitable plan is displayed to the user preferentially. The user can select their preferred plan from multiple options on the device.

[0211] Step 6:

[0212] The server automatically makes real-time reservations for transportation and accommodation using the user's selected travel plan. The reservation system references the details of the selected plan, sends the necessary information to the reservation system, and confirms the reservation. As output, reservation confirmation information is generated and provided to the user.

[0213] Step 7:

[0214] The device provides travel-related preparation information and on-site navigation guidance. The navigation system optimizes guidance during the trip, taking into account the user's emotional state. For example, it displays detailed maps and walking route guidance, and provides real-time support information to alleviate anxiety.

[0215] (Application Example 2)

[0216] 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".

[0217] Providing personalized travel plans that reflect a user's emotional state is challenging. Furthermore, if experiences and events at the destination don't align with the user's current desires and feelings, satisfaction may decrease. Additionally, making changes to plans on-site can be cumbersome and hinder a smooth travel experience. There is a need to address these issues and provide flexible and highly satisfying travel experiences that take into account the user's emotional state.

[0218] 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.

[0219] In this invention, the server includes an input device means for receiving travel conditions from the user, an information acquisition device means for acquiring transportation information, accommodation information, and sightseeing information from external information on the Internet, and a plan generation device means for generating multiple travel schedules based on the user's preferences and emotional state using a generation AI system. This makes it possible to automatically generate and present travel schedules that take the user's emotions into consideration.

[0220] 1. An "input device" is a device or means for receiving travel conditions from a user, and can also acquire emotional data using a camera or microphone.

[0221] 2. "Information acquisition device" refers to a device or means for collecting transportation information, accommodation information, and tourism information from external information sources on the Internet.

[0222] 3. A "generative AI system" is an artificial intelligence system that automatically generates multiple travel schedules based on the user's preferences and emotional state.

[0223] 4. A "plan generation device" is a means of generating multiple travel plans based on user preferences and emotional data, utilizing a generation AI system.

[0224] 5. "Presentation device" means a device or means that has the function of presenting a generated travel schedule to the user visually or audibly and accepting the user's selection.

[0225] 6. A "reservation device" is a device or means for automatically making reservations for transportation and accommodation based on the travel schedule selected by the user.

[0226] 7. "Navigation device" means a device or means for providing necessary preparation information and on-site guidance regarding travel.

[0227] 8. An "emotion recognition device" is a device or means for analyzing and recognizing a user's emotional state in real time from their facial expressions and tone of voice.

[0228] 9. A "tourism suggestion device" is a device or means that reflects the user's emotional state and suggests local experiences and events.

[0229] This invention is a system that proposes personalized travel plans that take into account the user's emotional state and makes real-time reservations for transportation and accommodation. The system is implemented as follows:

[0230] The server retrieves transportation, accommodation, and sightseeing information from external sources on the internet based on the travel conditions received from the user. Common search engine APIs and sightseeing information APIs are used for information retrieval. Based on this information, the server utilizes a generative AI system to automatically generate multiple travel plans based on the user's emotional data. The emotional data is derived from the user's facial expressions and voice tone captured by the device's camera and microphone, analyzed by an emotion recognition device. Deep learning frameworks such as TENSORFLOW® are used as the generative AI model.

[0231] The generated travel plan is presented to the user via the terminal's display device. Once the user selects a specific plan, the server automatically makes reservations for transportation and accommodation based on that plan. Reservation information is managed using a common reservation service API. Furthermore, before and during the trip, the terminal's navigation device provides the user with preparation information and travel guidance.

[0232] For example, if a user enters "I want to relax today," the device's emotion recognition system detects the user's mild fatigue from their tone of voice. Based on this, the server's AI generation system automatically generates a relaxation plan at a quiet resort and presents it to the user via a suggestion device. An example of a prompt would be, "Based on the user's emotional data, please suggest a relaxing travel plan." This approach makes it possible to provide a travel experience optimized for the user's current situation.

[0233] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0234] Step 1:

[0235] The server receives user travel conditions and emotional data input from the terminal. The emotional data is the result of processing information acquired by the terminal's camera and microphone using an emotion recognition device. The input information is stored in the server's database.

[0236] Step 2:

[0237] The server collects transportation, accommodation, and tourist information from external sources on the internet. It uses an information acquisition device to call external APIs, filters the obtained information, and retains only the relevant data. This forms a dataset based on travel conditions.

[0238] Step 3:

[0239] The server uses a generative AI system to generate multiple travel plans based on the user's preferences and emotional state. It takes stored emotional data and collected travel information as input, analyzes the data, and outputs a travel plan adapted to the user's emotions. The prompt used is "Please suggest the best travel plan based on the user's emotional data."

[0240] Step 4:

[0241] The server presents the generated travel plan to the user via the terminal's display device. The user reviews the presented travel plan and selects their preferred plan. The user's selection is sent from the terminal to the server and recorded within the system.

[0242] Step 5:

[0243] Based on the user's selection, the server automatically makes reservations for transportation and accommodation. The reservation device books the specified services via the reservation API and returns the reservation confirmation information to the server.

[0244] Step 6:

[0245] Once the trip begins, the device's navigation system provides the user with travel preparation information and on-site transportation guidance. Based on the user's current location and booking information, the device notifies them of the optimal travel route and next activity.

[0246] 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.

[0247] 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.

[0248] 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.

[0249] [Second Embodiment]

[0250] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0251] 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.

[0252] 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).

[0253] 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.

[0254] 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.

[0255] 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).

[0256] 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.

[0257] 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.

[0258] 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.

[0259] 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.

[0260] 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.

[0261] 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".

[0262] This invention is a comprehensive support system designed to reduce the burden on users when planning trips and to provide travel experiences that better match individual preferences. This system integrates and implements multiple processes, including user input, information collection and analysis, travel plan generation, automated booking, and navigation support during travel.

[0263] The system begins with the user entering their travel preferences, such as destination, budget, duration, and activities of interest. Upon receiving this information, the server accesses external information sources on the internet in real time to gather information on transportation, accommodation, and tourist attractions.

[0264] The collected information is sent to a generation AI model on the server, which generates multiple optimized travel plans based on the user's preferences and conditions. Cost-effectiveness and schedule convenience are also considered. The generated plans are presented to the user via their device, allowing them to select a plan after reviewing detailed information and ratings.

[0265] Once the user selects the optimal travel plan, the server automatically makes reservations for transportation and accommodation based on that plan. In this step, the reservation process is completed using the API of each booking provider, and confirmation information is generated.

[0266] During the travel planning and while traveling, the device provides helpful information. Before departure, it presents a list of necessary preparations, and during the trip, it provides navigation assistance at the destination. This includes public transport transfer information and virtual reality guidance for walking routes.

[0267] For example, if a user inputs "I want to take a hot spring trip in the fall" into the system, the server will collect information on suitable hot spring resorts, accommodations, and transportation options in real time, and the AI ​​will suggest multiple plans. If the user selects the "Hakone Hot Spring 2-Night, 3-Day Plan," the server will automatically book the Shinkansen (bullet train) tickets and the hot spring inn, and notify the user's device of the reservation confirmation. Furthermore, on the day of the trip, the device's map app will provide virtual reality guidance showing the optimal walking route after arrival, supporting a smooth travel experience.

[0268] In this way, this system provides users with a seamless and personalized travel experience, establishing a new standard for travel planning.

[0269] The following describes the processing flow.

[0270] Step 1:

[0271] Users enter and submit their travel preferences (destination, budget, travel duration, activities of interest, etc.) through the terminal's interface.

[0272] Step 2:

[0273] The server receives travel conditions submitted by the user and analyzes them. Based on the analysis results, it then collects relevant information about transportation, accommodation, and tourist destinations from external sources on the internet.

[0274] Step 3:

[0275] The server inputs the collected information into a generating AI model, which automatically generates multiple travel plans that best match the user's preferences. This model optimizes the plans by considering factors such as cost, convenience, and ratings.

[0276] Step 4:

[0277] The server prepares the detailed information of the generated travel plan and sends it to the terminal.

[0278] Step 5:

[0279] The device displays the received travel plans to the user. The user reviews the plan details, and, while referring to ratings and reviews, selects the plan that best suits them.

[0280] Step 6:

[0281] Users select from several presented plans and confirm their desired travel plan by pressing the confirm button.

[0282] Step 7:

[0283] The server automates the booking process for transportation and accommodation based on the travel plan selected by the user. This is done using the APIs of each booking provider.

[0284] Step 8:

[0285] When the reservation is completed, the server generates confirmation information and sends it to the terminal.

[0286] Step 9:

[0287] The terminal notifies the user of the packing list and precautions on the day before the trip and supports the preparation for the trip.

[0288] Step 10:

[0289] The terminal provides the user with transfer guidance for transportation means and virtual reality guidance for walking routes at the destination on the day of the trip, and supports the user to enjoy the trip smoothly.

[0290] (Example 1)

[0291] Next, Example 1 will be described. In the following description, the data processing device 12 is referred to as the "server", and the smart glasses 214 are referred to as the "terminal".

[0292] In formulating a travel plan and making a reservation procedure, usually, a plurality of websites and travel agencies have to be used individually, which has the problem of taking a lot of time and labor. Furthermore, it is also difficult to find a travel plan suitable for the preferences and conditions of individual users. To solve this problem, an integrated collection, analysis of information, and optimization and automation of travel plans are required.

[0293] The specific processing by the specific processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0294] In this invention, the server includes a data collection means for receiving travel-related conditions from the user, an information collection means for collecting transportation means information, accommodation facility information, and tourist area information from external information sources on the information communication network, and a plan generation means for generating a number of travel plans based on the user's preferences using a generation AI. As a result, the user can efficiently obtain a travel plan that matches their preferences and automate the reservation.

[0295] "Users" refer to people who use the system to plan their trips.

[0296] "Data collection methods" refer to the methods and procedures for receiving travel-related conditions from users.

[0297] "Information and communication network" refers to a network used to obtain information from external sources, including the Internet.

[0298] "External information sources" refer to services and databases that provide information on transportation options, accommodation options, tourist destinations, etc.

[0299] "Information gathering methods" refer to the methods and procedures for gathering necessary information from external sources.

[0300] "Transportation information" refers to information about the means of transportation available during a trip.

[0301] "Accommodation information" refers to information about accommodations available during travel.

[0302] "Tourist destination information" refers to information about tourist destinations that can be visited during a trip.

[0303] "Generative AI" refers to a method that uses artificial intelligence technology to generate travel plans based on user input.

[0304] "Plan generation means" refers to the method or procedure for generating a travel plan based on the user's desired conditions.

[0305] "Display means" refers to the methods and procedures for presenting a generated travel plan to the user and accepting their selections.

[0306] "Reservation procedures" refer to methods and procedures that automatically make reservations for transportation and accommodation based on the travel plan selected by the user.

[0307] The "guidance means" refers to the methods and procedures for providing necessary preparation information regarding travel and guidance on the travel route at the destination.

[0308] "Virtual reality" means a technology that enables the experience of a visual environment different from the real world using computer technology.

[0309] The system of the present invention provides a personalized travel plan for users and is for more efficiently making travel plans and reservations.

[0310] The user first inputs travel-related conditions such as the destination, schedule, budget, and specific interests and concerns of the travel into the terminal. This terminal usually often uses a smartphone or a personal computer, and it is possible to input information through a dedicated application or a web interface.

[0311] When the server receives the input data sent from the user, it accesses external information sources via an information communication network and collects the latest data regarding transportation means, accommodation facilities, and tourist areas. This information collection means includes airline APIs, accommodation facility APIs, tourist information APIs, etc., and real-time information acquisition can be performed using them.

[0312] The collected information is transferred to the generative AI model within the server. This generative AI model automatically generates a plurality of travel plans based on the user's input data and the data collected from outside. At this time, the optimal plan is formulated from multiple perspectives such as cost-effectiveness and schedule convenience.

[0313] These generated plans are presented to the user through the terminal. The user checks the details of each plan on the terminal screen and selects the plan they like. After the selection, the server automatically makes the necessary reservations using the API, and the reservation procedures for transportation means and accommodation facilities are completed.

[0314] Before and during the trip, the device provides the user with necessary information and instructions. Before departure, it presents a list of things to prepare, and at the destination, it can utilize navigation methods to provide virtual reality-based walking route guidance.

[0315] As a concrete example, when a user enters the prompt "I'm planning a hot spring trip in the fall. Please suggest some recommended hot spring resorts and itineraries," the server gathers information on suitable hot spring resorts based on that prompt and presents several optimized itineraries. If the user selects the "Hakone Hot Spring 2-Night, 3-Day Plan," the server automatically arranges Shinkansen tickets and makes reservations at the hot spring inn, and sends the necessary information to the user's device. This ensures a smooth travel experience.

[0316] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0317] Step 1:

[0318] The user uses a terminal to enter information about their travel plans. This input includes destination, budget, travel duration, and activities of interest. The terminal formats this information and sends it to the server. At this stage, user preference data is collected.

[0319] Step 2:

[0320] Upon receiving user input data, the server accesses external information sources via the information and communication network. This involves retrieving data from APIs related to transportation, accommodation, and tourist destinations. The server aggregates this information and filters it to match the user's criteria. This process yields useful travel-related data.

[0321] Step 3:

[0322] The server inputs aggregated data into a generative AI model. The generative AI model generates multiple travel plans based on this data and user conditions. The AI ​​model creates multiple options, considering cost-effectiveness and schedule optimization. These outputs become candidate plans to be presented to the user.

[0323] Step 4:

[0324] The server sends the generated travel plans to the terminal. The terminal displays these to the user, allowing them to review the details, cost, and convenience of each plan. Based on this information, the user selects the most suitable plan. This interface allows the user to compare each plan.

[0325] Step 5:

[0326] Based on the travel plan selected by the user, the server begins the booking process. This includes an automated process of booking transportation and accommodation using APIs from airlines and hotels. After the booking is complete, confirmation information is generated.

[0327] Step 6:

[0328] The server notifies the terminal of the reservation confirmation information. The terminal displays this information to the user and presents digital ticket information, including the necessary reservation confirmation and QR code. This allows the user to receive their travel documents immediately.

[0329] Step 7:

[0330] The device provides guidance during the travel planning phase and throughout the trip. Before departure, it sends the user a preparation list, and during the trip, it provides transportation transfer information and virtual reality-based walking route guidance. This navigation support allows users to travel smoothly to their destination.

[0331] (Application Example 1)

[0332] 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."

[0333] Modern travelers face the challenge of having to individually gather a lot of information and make decisions based on that information, such as selecting destinations, making reservations, and securing local transportation, which is time-consuming and laborious. Furthermore, in family travel, it is even more difficult to create a travel plan that satisfies each member due to differing interests and activities among generations. The aim is to solve these problems and enable individual travelers to plan and execute their trips comfortably.

[0334] 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.

[0335] In this invention, the server includes an input device that receives travel conditions from the user, an information acquisition device that collects information on means of transport, means of accommodation, and tourist destinations from information sources on a communication network, and a plan generation device that creates a travel plan based on the user's preferences using a generation AI algorithm. As a result, the user can easily receive a personalized travel plan while saving time and effort, and enjoy a more comfortable and efficient trip.

[0336] An "input device for receiving travel conditions from users" is an interface that allows travelers to input their travel destination, budget, itinerary, and preferred activities into the system.

[0337] An "information acquisition device that collects information on transportation methods, accommodation methods, and tourist destinations from information sources on a communication network" is a system device for automatically acquiring data on transportation, accommodation, and tourist destinations via the internet.

[0338] A "travel plan generation device that creates travel plans based on user preferences using a generative AI algorithm" is a device that uses artificial intelligence technology to analyze input travel conditions and devise the optimal travel plan that matches the traveler's preferences.

[0339] A "presentation device that displays created travel plans to the user and accepts the user's selection" is an interface that displays multiple generated travel plans to the traveler and allows them to select the plan they prefer from among them.

[0340] A "booking device that automatically makes reservations for transportation and accommodation according to the travel plan selected by the user" is a device that automatically completes the arrangement of transportation tickets and accommodations online based on the selected travel plan.

[0341] A "navigation device that provides important travel preparation information and assistance with transportation at the destination" is a digital device that informs travelers of necessary preparations before their trip and provides directions to help them travel effectively after arriving at their destination.

[0342] A "visualization device that uses virtual reality technology to provide directions to destinations and visualize information about tourist spots" is a device that provides real-time route guidance to destinations and visually displays the history and details of tourist spots.

[0343] The system of this invention aims to integrate a large amount of information to efficiently support travelers' planning and to provide a user-friendly service. This system mainly consists of three components: a server, a terminal, and a user.

[0344] The server plays a central role in collecting and processing information through the communication network. Based on travel conditions entered by the user, the server automatically retrieves information on transportation, accommodation, and tourist destinations from various sources on the internet. This includes backend data processing using Node.js and Express.

[0345] The acquired information is stored in MongoDB and then processed by a generative AI algorithm. Using the generative AI model, an optimal travel plan is created that takes into account the traveler's preferences and circumstances. In this step, AI technologies such as GPT-3 are used to create the travel plan.

[0346] On the user's device, multiple generated travel plans are presented through an intuitive user interface built with React Native. The user can select their preferred plan, and based on the selected plan, the server automatically completes online reservations for transportation and accommodation. Relevant APIs are used to manage the reservations.

[0347] Furthermore, real-time navigation and visual guidance features at tourist destinations are provided during travel. For this purpose, virtual reality technology utilizing ARKit and ARcore is used, and the device assists with real-time route guidance at the destination.

[0348] As a concrete example, let's say a user is planning a family trip to a hot spring resort in the fall. When the user inputs, "I want a 2-night, 3-day trip to a family-friendly hot spring resort in the fall," the server requests the AI ​​to generate the optimal plan based on this information, and the AI ​​creates the plan using the following prompts:

[0349] Places users want to visit: Hot spring resorts

[0350] We are looking for a family trip, in the fall, for 2 nights and 3 days.

[0351] Please provide five travel plans that meet these conditions.

[0352] In this way, users receive consistent support from planning and booking to during their trip, resulting in a productive and enjoyable travel experience.

[0353] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0354] Step 1:

[0355] The user enters travel details into their device. Specifically, they enter their travel destination, budget, dates, and activities of interest into the app's input form. This input information is sent to the server as initial data for the program.

[0356] Step 2:

[0357] Based on the received travel conditions, the server automatically collects transportation, accommodation, and tourist destination information from the communication network using an information acquisition device. Here, requests are sent to each information source via a RESTful API to obtain the necessary data. The output at this stage is raw data obtained from multiple information sources.

[0358] Step 3:

[0359] The acquired raw data is stored in MongoDB. The server uses this stored data as input to perform data analysis using a generative AI algorithm and generate multiple travel plans based on the user's preferences. A generative AI model such as GPT-3 is used to create prompt statements and design an optimized travel plan. In this process, the prompt statements become instructions to the AI ​​model, and a specific travel plan is output.

[0360] Step 4:

[0361] The server sends the generated travel plans to the device. The device presents these plans to the user through a user interface developed with React Native. The user compares the details of each plan and selects the one that best suits their preferences. This selection becomes the input for the next processing step.

[0362] Step 5:

[0363] Based on the selected travel plan, the server automatically proceeds with booking transportation and accommodation. It executes the necessary API calls to complete the booking process and obtain confirmation information. The output is a set of confirmation information indicating that all bookings have been completed.

[0364] Step 6:

[0365] Before and during a trip, the device provides the user with necessary preparation information and navigation assistance. Specifically, it displays a list of necessary items before departure and provides visual route guidance using virtual reality technology during the trip. It uses ARKit and ARcore to enhance on-site navigation and support the user's movement. As part of this function, specific directions and information about tourist attractions are displayed on the user's device.

[0366] 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.

[0367] This invention proposes a travel planning support system that incorporates an emotion engine to further personalize the user's travel experience. This system generates and presents travel plans that take the user's emotions into account, and automates the booking process.

[0368] This system recognizes the user's current emotional state using an emotion engine when the user inputs their travel preferences. This is achieved by analyzing the user's facial expressions and tone of voice using input devices (e.g., camera, microphone). Upon receiving this input information, the server collects necessary travel information from external sources on the internet and utilizes the emotional data obtained by the emotion engine to generate a travel plan.

[0369] The generative AI model integrates collected information and emotional data to automatically generate travel plans tailored to the user's emotions. For example, a user feeling stressed will be offered a relaxing plan, while an energetic user will be offered an active plan. The generated plans are presented to the user via their device, and the most suitable plan is prioritized based on the emotional engine's judgment.

[0370] Once a user selects a travel plan, the server makes real-time reservations for transportation and accommodation based on the chosen plan. During this process, emotional data is reconsidered to ensure selections that maximize user satisfaction.

[0371] The device notifies the user of pre-trip preparation information and provides interactive navigation and support based on an emotion engine during the trip. For example, if the user feels anxious at their destination, the device will provide clearer directions and activity recommendations.

[0372] For example, if a user enters "I want to relax on the beach in the summer," and the emotion engine determines from the user's facial expression that they are "somewhat tired," the server will generate a relaxation-focused plan. This plan would include a spa at a beach resort and quiet accommodation. Once the user approves this plan, the server makes the reservation, and the device receives a confirmation and a travel preparation notification. During the trip, relaxing music and guide information are provided, and adjustments are made to ensure the user has a comfortable experience.

[0373] This system provides a travel experience tailored to each user's individual emotional state, making travel planning more intuitive and satisfying.

[0374] The following describes the processing flow.

[0375] Step 1:

[0376] The user enters their travel preferences (destination, budget, travel duration, activities of interest, etc.) through their device, and allows the camera and microphone to be used by the emotion engine to analyze the user's emotional state.

[0377] Step 2:

[0378] The device sends the user's entered preferences to the server, and the emotion engine analyzes the collected facial expression and voice data to identify the user's emotional state.

[0379] Step 3:

[0380] The server analyzes the user's desired conditions and emotional state, and collects relevant information (transportation information, accommodation information, tourist destination information) from external sources on the internet.

[0381] Step 4:

[0382] The server uses a generative AI model to integrate collected travel information with user sentiment data and automatically generates multiple travel plans optimized for the user's emotions.

[0383] Step 5:

[0384] The server optimizes the generated travel plans, adjusts the display order of the plans based on sentiment data, and sends them to the device.

[0385] Step 6:

[0386] The device presents the generated travel plan to the user, who then reviews the plan details and selects their preferred plan.

[0387] Step 7:

[0388] The user selects the most suitable travel plan from the presented options and presses the confirm button to finalize their selection.

[0389] Step 8:

[0390] The server automatically makes real-time reservations for transportation and accommodation based on the travel plan selected by the user. During this process, the selection of destinations is made based on the user's emotional state.

[0391] Step 9:

[0392] The server confirms that the reservation is complete and sends the reservation details along with confirmation information to the terminal.

[0393] Step 10:

[0394] The device notifies the user of necessary preparation information before the trip, supporting the user in smoothly preparing for the trip.

[0395] Step 11:

[0396] The device monitors the user's emotional state in real time during the trip and provides changes to the travel plan or additional information as needed. In particular, it provides navigation and activity suggestions that enhance the user's sense of security and enjoyment.

[0397] (Example 2)

[0398] 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".

[0399] In travel planning, there is a growing need to provide personalized plans that take into account not only the user's specific conditions and travel preferences, but also the emotional experiences they wish to gain through their trip. However, existing systems struggle to take into account the user's emotional state, resulting in a challenge in providing the travel experience the user expects.

[0400] 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.

[0401] In this invention, the server includes input means for receiving travel preferences and emotional states from the user, information acquisition means for collecting transportation information, accommodation information, and tourist area information from external information sources on the Internet, and emotion recognition means for analyzing the user's facial expressions and tone of voice and recognizing the user's emotional state using an emotion engine. This makes it possible to generate a personalized travel plan based on the user's emotional state and provide the user with an optimal travel experience.

[0402] "Input means" refers to devices or methods for receiving information from users regarding their travel preferences and emotional state.

[0403] "Information acquisition means" refers to devices and methods for collecting information on transportation methods, accommodation facilities, and tourist areas from external information sources on the internet.

[0404] "Emotion recognition means" refers to devices or methods for analyzing a user's facial expressions and tone of voice, and recognizing the user's emotional state using an emotion engine.

[0405] A "plan generation means" refers to a device or method for generating multiple travel plans based on user sentiment data using a generation AI model.

[0406] A "presentation means" refers to a device or method for presenting a generated travel plan to a user and accepting the user's selection.

[0407] A "reservation method" refers to a device or method for automatically making reservations for transportation and accommodation based on a travel plan selected by the user.

[0408] A "navigation means" is a device or method for providing travel preparation information and on-site guidance according to the user's emotional state.

[0409] This invention relates to a travel planning support system that provides travel plans that take into account the user's emotional state. The system includes input means, information acquisition means, emotion recognition means, plan generation means, presentation means, reservation means, and navigation means.

[0410] First, the user inputs their travel preferences and emotional information via the device. The device is equipped with a camera and microphone, which allows it to capture the user's facial expressions and voice data.

[0411] Next, the server uses information acquisition means to collect necessary transportation information, accommodation information, and tourist area information from external sources on the internet, based on the user data received through the input means. This data is used to efficiently obtain the necessary information based on the user's travel conditions.

[0412] The emotion recognition system analyzes the user's facial expressions and voice data and uses an emotion engine to recognize the user's current emotional state. In this process, a sophisticated algorithm categorizes the user's emotions into categories such as relaxed, stressed, and energetic.

[0413] Based on this, the plan generation method uses a generation AI model to integrate user emotion data with information obtained from external sources and automatically generate multiple travel plans tailored to the user's emotional state. For example, the generation AI model might use prompts like: "If the user is seeking relaxation, please include quiet, scenic beach resorts as options."

[0414] The generated travel plan is presented to the user via the device. The presentation method prioritizes displaying the plan that best suits the user's state, based on the evaluation results of the emotion engine.

[0415] Once the user selects a plan, the server automatically uses a booking system to make reservations for transportation and accommodation according to the travel plan selected by the user.

[0416] Furthermore, the device provides users with travel preparation information and on-site navigation guidance. The navigation system takes the user's emotional state into consideration and adjusts the navigation to make on-site travel less stressful. For example, if the user gets lost, it provides clearer directions to give them a sense of security.

[0417] This system makes it easier for users to create and execute travel plans that suit their emotions and desires.

[0418] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0419] Step 1:

[0420] The user enters their travel preferences and emotional information into the terminal. This input includes data such as facial expressions and voice tone, captured using the available camera and microphone. The entered travel preferences and emotional information are then sent directly to the server for use in the next step.

[0421] Step 2:

[0422] The server uses an emotion engine to recognize the user's emotional state based on the received user's facial expressions and voice data. Specifically, it analyzes facial expressions using an image analysis algorithm and evaluates voice tone using a voice analysis algorithm. This process outputs an emotional state such as relaxed, stressed, or energetic.

[0423] Step 3:

[0424] Based on travel preferences, the server collects detailed information about transportation, accommodation, and tourist areas from external sources on the internet. The information retrieval system generates search queries and retrieves the necessary data from relevant resources. This information gathering process outputs the information needed for plan generation in the next step.

[0425] Step 4:

[0426] The server integrates emotional state data with external information and uses a generative AI model to automatically generate travel plans that match the user's emotions. Specifically, prompt sentences are input to the AI ​​model as prompts, and a corresponding travel plan is output. For example, a prompt such as "If the user is seeking relaxation, suggest a quiet beach resort" might be used.

[0427] Step 5:

[0428] The device presents the generated travel plan to the user. Based on the evaluation by the emotion engine, the most suitable plan is displayed to the user preferentially. The user can select their preferred plan from multiple options on the device.

[0429] Step 6:

[0430] The server automatically makes real-time reservations for transportation and accommodation using the user's selected travel plan. The reservation system references the details of the selected plan, sends the necessary information to the reservation system, and confirms the reservation. As output, reservation confirmation information is generated and provided to the user.

[0431] Step 7:

[0432] The device provides travel-related preparation information and on-site navigation guidance. The navigation system optimizes guidance during the trip, taking into account the user's emotional state. For example, it displays detailed maps and walking route guidance, and provides real-time support information to alleviate anxiety.

[0433] (Application Example 2)

[0434] 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."

[0435] Providing personalized travel plans that reflect a user's emotional state is challenging. Furthermore, if experiences and events at the destination don't align with the user's current desires and feelings, satisfaction may decrease. Additionally, making changes to plans on-site can be cumbersome and hinder a smooth travel experience. There is a need to address these issues and provide flexible and highly satisfying travel experiences that take into account the user's emotional state.

[0436] 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.

[0437] In this invention, the server includes an input device means for receiving travel conditions from the user, an information acquisition device means for acquiring transportation information, accommodation information, and sightseeing information from external information on the Internet, and a plan generation device means for generating multiple travel schedules based on the user's preferences and emotional state using a generation AI system. This makes it possible to automatically generate and present travel schedules that take the user's emotions into consideration.

[0438] 1. An "input device" is a device or means for receiving travel conditions from a user, and can also acquire emotional data using a camera or microphone.

[0439] 2. "Information acquisition device" refers to a device or means for collecting transportation information, accommodation information, and tourism information from external information sources on the Internet.

[0440] 3. A "generative AI system" is an artificial intelligence system that automatically generates multiple travel schedules based on the user's preferences and emotional state.

[0441] 4. A "plan generation device" is a means of generating multiple travel plans based on user preferences and emotional data, utilizing a generation AI system.

[0442] 5. "Presentation device" means a device or means that has the function of presenting a generated travel schedule to the user visually or audibly and accepting the user's selection.

[0443] 6. A "reservation device" is a device or means for automatically making reservations for transportation and accommodation based on the travel schedule selected by the user.

[0444] 7. "Navigation device" means a device or means for providing necessary preparation information and on-site guidance regarding travel.

[0445] 8. An "emotion recognition device" is a device or means for analyzing and recognizing a user's emotional state in real time from their facial expressions and tone of voice.

[0446] 9. A "tourism suggestion device" is a device or means that reflects the user's emotional state and suggests local experiences and events.

[0447] This invention is a system that proposes personalized travel plans that take into account the user's emotional state and makes real-time reservations for transportation and accommodation. The system is implemented as follows:

[0448] The server retrieves transportation, accommodation, and sightseeing information from external sources on the internet based on the travel conditions received from the user. Common search engine APIs and sightseeing information APIs are used for information retrieval. Based on this information, the server utilizes a generative AI system to automatically generate multiple travel plans based on the user's emotional data. The emotional data is obtained by analyzing the user's facial expressions and voice tone captured by the device's camera and microphone using an emotion recognition device. Deep learning frameworks such as TensorFlow are used as the generative AI model.

[0449] The generated travel plan is presented to the user via the terminal's display device. Once the user selects a specific plan, the server automatically makes reservations for transportation and accommodation based on that plan. Reservation information is managed using a common reservation service API. Furthermore, before and during the trip, the terminal's navigation device provides the user with preparation information and travel guidance.

[0450] For example, if a user enters "I want to relax today," the device's emotion recognition system detects the user's mild fatigue from their tone of voice. Based on this, the server's AI generation system automatically generates a relaxation plan at a quiet resort and presents it to the user via a suggestion device. An example of a prompt would be, "Based on the user's emotional data, please suggest a relaxing travel plan." This approach makes it possible to provide a travel experience optimized for the user's current situation.

[0451] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0452] Step 1:

[0453] The server receives user travel conditions and emotional data input from the terminal. The emotional data is the result of processing information acquired by the terminal's camera and microphone using an emotion recognition device. The input information is stored in the server's database.

[0454] Step 2:

[0455] The server collects transportation, accommodation, and tourist information from external sources on the internet. It uses an information acquisition device to call external APIs, filters the obtained information, and retains only the relevant data. This forms a dataset based on travel conditions.

[0456] Step 3:

[0457] The server uses a generative AI system to generate multiple travel plans based on the user's preferences and emotional state. It takes stored emotional data and collected travel information as input, analyzes the data, and outputs a travel plan adapted to the user's emotions. The prompt used is "Please suggest the best travel plan based on the user's emotional data."

[0458] Step 4:

[0459] The server presents the generated travel plan to the user via the terminal's display device. The user reviews the presented travel plan and selects their preferred plan. The user's selection is sent from the terminal to the server and recorded within the system.

[0460] Step 5:

[0461] Based on the user's selection, the server automatically makes reservations for transportation and accommodation. The reservation device books the specified services via the reservation API and returns the reservation confirmation information to the server.

[0462] Step 6:

[0463] Once the trip begins, the device's navigation system provides the user with travel preparation information and on-site transportation guidance. Based on the user's current location and booking information, the device notifies them of the optimal travel route and next activity.

[0464] 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.

[0465] 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.

[0466] 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.

[0467] [Third Embodiment]

[0468] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0469] 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.

[0470] 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).

[0471] 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.

[0472] 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.

[0473] 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).

[0474] 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.

[0475] 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.

[0476] 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.

[0477] 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.

[0478] 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.

[0479] 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".

[0480] This invention is a comprehensive support system designed to reduce the burden on users when planning trips and to provide travel experiences that better match individual preferences. This system integrates and implements multiple processes, including user input, information collection and analysis, travel plan generation, automated booking, and navigation support during travel.

[0481] The system begins with the user entering their travel preferences, such as destination, budget, duration, and activities of interest. Upon receiving this information, the server accesses external information sources on the internet in real time to gather information on transportation, accommodation, and tourist attractions.

[0482] The collected information is sent to a generation AI model on the server, which generates multiple optimized travel plans based on the user's preferences and conditions. Cost-effectiveness and schedule convenience are also considered. The generated plans are presented to the user via their device, allowing them to select a plan after reviewing detailed information and ratings.

[0483] Once the user selects the optimal travel plan, the server automatically makes reservations for transportation and accommodation based on that plan. In this step, the reservation process is completed using the API of each booking provider, and confirmation information is generated.

[0484] During the travel planning and while traveling, the device provides helpful information. Before departure, it presents a list of necessary preparations, and during the trip, it provides navigation assistance at the destination. This includes public transport transfer information and virtual reality guidance for walking routes.

[0485] For example, if a user inputs "I want to take a hot spring trip in the fall" into the system, the server will collect information on suitable hot spring resorts, accommodations, and transportation options in real time, and the AI ​​will suggest multiple plans. If the user selects the "Hakone Hot Spring 2-Night, 3-Day Plan," the server will automatically book the Shinkansen (bullet train) tickets and the hot spring inn, and notify the user's device of the reservation confirmation. Furthermore, on the day of the trip, the device's map app will provide virtual reality guidance showing the optimal walking route after arrival, supporting a smooth travel experience.

[0486] In this way, this system provides users with a seamless and personalized travel experience, establishing a new standard for travel planning.

[0487] The following describes the processing flow.

[0488] Step 1:

[0489] Users enter and submit their travel preferences (destination, budget, travel duration, activities of interest, etc.) through the terminal's interface.

[0490] Step 2:

[0491] The server receives travel conditions submitted by the user and analyzes them. Based on the analysis results, it then collects relevant information about transportation, accommodation, and tourist destinations from external sources on the internet.

[0492] Step 3:

[0493] The server inputs the collected information into a generating AI model, which automatically generates multiple travel plans that best match the user's preferences. This model optimizes the plans by considering factors such as cost, convenience, and ratings.

[0494] Step 4:

[0495] The server prepares the detailed information of the generated travel plan and sends it to the terminal.

[0496] Step 5:

[0497] The device displays the received travel plans to the user. The user reviews the plan details, and, while referring to ratings and reviews, selects the plan that best suits them.

[0498] Step 6:

[0499] Users select from several presented plans and confirm their desired travel plan by pressing the confirm button.

[0500] Step 7:

[0501] The server automates the booking process for transportation and accommodation based on the travel plan selected by the user. This is done using the APIs of each booking provider.

[0502] Step 8:

[0503] The server generates confirmation information once the reservation is complete and sends it to the terminal.

[0504] Step 9:

[0505] The device notifies the user of a packing list and important notes the day before the trip, helping them prepare for their trip.

[0506] Step 10:

[0507] The device provides virtual reality guidance for transportation transfers and walking routes at the destination on the day of travel, helping users enjoy their trip smoothly.

[0508] (Example 1)

[0509] 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."

[0510] Planning and booking travel typically involves using multiple websites and travel agencies individually, which is time-consuming and laborious. Furthermore, finding a travel plan that suits individual preferences and circumstances is difficult. Solving this challenge requires integrated information gathering and analysis, as well as the optimization and automation of travel planning.

[0511] 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.

[0512] In this invention, the server includes data collection means for receiving travel conditions from the user, information collection means for collecting transportation information, accommodation information, and tourist area information from external information sources on an information and communication network, and plan generation means for generating a large number of travel plans based on the user's preferences using generating AI. This makes it possible for the user to efficiently obtain travel plans that match their preferences and automate the booking process.

[0513] "Users" refer to people who use the system to plan their trips.

[0514] "Data collection methods" refer to the methods and procedures for receiving travel-related conditions from users.

[0515] "Information and communication network" refers to a network used to obtain information from external sources, including the Internet.

[0516] "External information sources" refer to services and databases that provide information on transportation options, accommodation options, tourist destinations, etc.

[0517] "Information gathering methods" refer to the methods and procedures for gathering necessary information from external sources.

[0518] "Transportation information" refers to information about the means of transportation available during a trip.

[0519] "Accommodation information" refers to information about accommodations available during travel.

[0520] "Tourist destination information" refers to information about tourist destinations that can be visited during a trip.

[0521] "Generative AI" refers to a method that uses artificial intelligence technology to generate travel plans based on user input.

[0522] "Plan generation means" refers to the method or procedure for generating a travel plan based on the user's desired conditions.

[0523] "Display means" refers to the methods and procedures for presenting a generated travel plan to the user and accepting their selections.

[0524] "Reservation procedures" refer to methods and procedures that automatically make reservations for transportation and accommodation based on the travel plan selected by the user.

[0525] "Guidance methods" refer to the methods and procedures for providing necessary preparation information for travel and guidance on transportation routes at the destination.

[0526] "Virtual reality" refers to a technology that uses computer technology to allow users to experience a visual environment different from the real world.

[0527] The system of the present invention provides users with personalized travel plans, enabling them to plan and book their trips more efficiently.

[0528] The user first enters travel details into the device, such as the destination, dates, budget, and specific interests. This device is usually a smartphone or computer, and information can be entered through a dedicated application or web interface.

[0529] Upon receiving input data from a user, the server accesses external information sources via the information and communication network to collect the latest data on transportation, accommodation, and tourist destinations. This information collection method includes airline APIs, accommodation APIs, and tourism information APIs, enabling real-time information retrieval.

[0530] The collected information is transferred to a generative AI model on the server. This generative AI model automatically generates multiple travel plans based on user input data and data collected from external sources. In this process, the optimal plan is formulated from multiple perspectives, including cost-effectiveness and schedule convenience.

[0531] These generated plans are presented to the user via their device. The user reviews the details of each plan on the device screen and selects the plan they like. After selection, the server uses an API to automatically make the necessary reservations, completing the booking process for transportation and accommodation.

[0532] Before and during the trip, the device provides the user with necessary information and instructions. Before departure, it presents a list of things to prepare, and at the destination, it can utilize navigation methods to provide virtual reality-based walking route guidance.

[0533] As a concrete example, when a user enters the prompt "I'm planning a hot spring trip in the fall. Please suggest some recommended hot spring resorts and itineraries," the server gathers information on suitable hot spring resorts based on that prompt and presents several optimized itineraries. If the user selects the "Hakone Hot Spring 2-Night, 3-Day Plan," the server automatically arranges Shinkansen tickets and makes reservations at the hot spring inn, and sends the necessary information to the user's device. This ensures a smooth travel experience.

[0534] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0535] Step 1:

[0536] The user uses a terminal to enter information about their travel plans. This input includes destination, budget, travel duration, and activities of interest. The terminal formats this information and sends it to the server. At this stage, user preference data is collected.

[0537] Step 2:

[0538] Upon receiving user input data, the server accesses external information sources via the information and communication network. This involves retrieving data from APIs related to transportation, accommodation, and tourist destinations. The server aggregates this information and filters it to match the user's criteria. This process yields useful travel-related data.

[0539] Step 3:

[0540] The server inputs aggregated data into a generative AI model. The generative AI model generates multiple travel plans based on this data and user conditions. The AI ​​model creates multiple options, considering cost-effectiveness and schedule optimization. These outputs become candidate plans to be presented to the user.

[0541] Step 4:

[0542] The server sends the generated travel plans to the terminal. The terminal displays these to the user, allowing them to review the details, cost, and convenience of each plan. Based on this information, the user selects the most suitable plan. This interface allows the user to compare each plan.

[0543] Step 5:

[0544] Based on the travel plan selected by the user, the server begins the booking process. This includes an automated process of booking transportation and accommodation using APIs from airlines and hotels. After the booking is complete, confirmation information is generated.

[0545] Step 6:

[0546] The server notifies the terminal of the reservation confirmation information. The terminal displays this information to the user and presents digital ticket information, including the necessary reservation confirmation and QR code. This allows the user to receive their travel documents immediately.

[0547] Step 7:

[0548] The device provides guidance during the travel planning phase and throughout the trip. Before departure, it sends the user a preparation list, and during the trip, it provides transportation transfer information and virtual reality-based walking route guidance. This navigation support allows users to travel smoothly to their destination.

[0549] (Application Example 1)

[0550] 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."

[0551] Modern travelers face the challenge of having to individually gather a lot of information and make decisions based on that information, such as selecting destinations, making reservations, and securing local transportation, which is time-consuming and laborious. Furthermore, in family travel, it is even more difficult to create a travel plan that satisfies each member due to differing interests and activities among generations. The aim is to solve these problems and enable individual travelers to plan and execute their trips comfortably.

[0552] 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.

[0553] In this invention, the server includes an input device that receives travel conditions from the user, an information acquisition device that collects information on means of transport, means of accommodation, and tourist destinations from information sources on a communication network, and a plan generation device that creates a travel plan based on the user's preferences using a generation AI algorithm. As a result, the user can easily receive a personalized travel plan while saving time and effort, and enjoy a more comfortable and efficient trip.

[0554] An "input device for receiving travel conditions from users" is an interface that allows travelers to input their travel destination, budget, itinerary, and preferred activities into the system.

[0555] An "information acquisition device that collects information on transportation methods, accommodation methods, and tourist destinations from information sources on a communication network" is a system device for automatically acquiring data on transportation, accommodation, and tourist destinations via the internet.

[0556] A "travel plan generation device that creates travel plans based on user preferences using a generative AI algorithm" is a device that uses artificial intelligence technology to analyze input travel conditions and devise the optimal travel plan that matches the traveler's preferences.

[0557] A "presentation device that displays created travel plans to the user and accepts the user's selection" is an interface that displays multiple generated travel plans to the traveler and allows them to select the plan they prefer from among them.

[0558] A "booking device that automatically makes reservations for transportation and accommodation according to the travel plan selected by the user" is a device that automatically completes the arrangement of transportation tickets and accommodations online based on the selected travel plan.

[0559] A "navigation device that provides important travel preparation information and assistance with transportation at the destination" is a digital device that informs travelers of necessary preparations before their trip and provides directions to help them travel effectively after arriving at their destination.

[0560] A "visualization device that uses virtual reality technology to provide directions to destinations and visualize information about tourist spots" is a device that provides real-time route guidance to destinations and visually displays the history and details of tourist spots.

[0561] The system of this invention aims to integrate a large amount of information to efficiently support travelers' planning and to provide a user-friendly service. This system mainly consists of three components: a server, a terminal, and a user.

[0562] The server plays a central role in collecting and processing information through the communication network. Based on travel conditions entered by the user, the server automatically retrieves information on transportation, accommodation, and tourist destinations from various sources on the internet. This includes backend data processing using Node.js and Express.

[0563] The acquired information is stored in MongoDB and then processed by a generative AI algorithm. Using the generative AI model, an optimal travel plan is created that takes into account the traveler's preferences and circumstances. In this step, AI technologies such as GPT-3 are used to create the travel plan.

[0564] On the user's device, multiple generated travel plans are presented through an intuitive user interface built with React Native. The user can select their preferred plan, and based on the selected plan, the server automatically completes online reservations for transportation and accommodation. Relevant APIs are used to manage the reservations.

[0565] Furthermore, real-time navigation and visual guidance features at tourist destinations are provided during travel. For this purpose, virtual reality technology utilizing ARKit and ARcore is used, and the device assists with real-time route guidance at the destination.

[0566] As a concrete example, let's say a user is planning a family trip to a hot spring resort in the fall. When the user inputs, "I want a 2-night, 3-day trip to a family-friendly hot spring resort in the fall," the server requests the AI ​​to generate the optimal plan based on this information, and the AI ​​creates the plan using the following prompts:

[0567] Places users want to visit: Hot spring resorts

[0568] We are looking for a family trip, in the fall, for 2 nights and 3 days.

[0569] Please provide five travel plans that meet these conditions.

[0570] In this way, users receive consistent support from planning and booking to during their trip, resulting in a productive and enjoyable travel experience.

[0571] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0572] Step 1:

[0573] The user enters travel details into their device. Specifically, they enter their travel destination, budget, dates, and activities of interest into the app's input form. This input information is sent to the server as initial data for the program.

[0574] Step 2:

[0575] Based on the received travel conditions, the server automatically collects transportation, accommodation, and tourist destination information from the communication network using an information acquisition device. Here, requests are sent to each information source via a RESTful API to obtain the necessary data. The output at this stage is raw data obtained from multiple information sources.

[0576] Step 3:

[0577] The acquired raw data is stored in MongoDB. The server uses this stored data as input to perform data analysis using a generative AI algorithm and generate multiple travel plans based on the user's preferences. A generative AI model such as GPT-3 is used to create prompt statements and design an optimized travel plan. In this process, the prompt statements become instructions to the AI ​​model, and a specific travel plan is output.

[0578] Step 4:

[0579] The server sends the generated travel plans to the device. The device presents these plans to the user through a user interface developed with React Native. The user compares the details of each plan and selects the one that best suits their preferences. This selection becomes the input for the next processing step.

[0580] Step 5:

[0581] Based on the selected travel plan, the server automatically proceeds with booking transportation and accommodation. It executes the necessary API calls to complete the booking process and obtain confirmation information. The output is a set of confirmation information indicating that all bookings have been completed.

[0582] Step 6:

[0583] Before and during a trip, the device provides the user with necessary preparation information and navigation assistance. Specifically, it displays a list of necessary items before departure and provides visual route guidance using virtual reality technology during the trip. It uses ARKit and ARcore to enhance on-site navigation and support the user's movement. As part of this function, specific directions and information about tourist attractions are displayed on the user's device.

[0584] 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.

[0585] This invention proposes a travel planning support system that incorporates an emotion engine to further personalize the user's travel experience. This system generates and presents travel plans that take the user's emotions into account, and automates the booking process.

[0586] This system recognizes the user's current emotional state using an emotion engine when the user inputs their travel preferences. This is achieved by analyzing the user's facial expressions and tone of voice using input devices (e.g., camera, microphone). Upon receiving this input information, the server collects necessary travel information from external sources on the internet and utilizes the emotional data obtained by the emotion engine to generate a travel plan.

[0587] The generative AI model integrates collected information and emotional data to automatically generate travel plans tailored to the user's emotions. For example, a user feeling stressed will be offered a relaxing plan, while an energetic user will be offered an active plan. The generated plans are presented to the user via their device, and the most suitable plan is prioritized based on the emotional engine's judgment.

[0588] Once a user selects a travel plan, the server makes real-time reservations for transportation and accommodation based on the chosen plan. During this process, emotional data is reconsidered to ensure selections that maximize user satisfaction.

[0589] The device notifies the user of pre-trip preparation information and provides interactive navigation and support based on an emotion engine during the trip. For example, if the user feels anxious at their destination, the device will provide clearer directions and activity recommendations.

[0590] For example, if a user enters "I want to relax on the beach in the summer," and the emotion engine determines from the user's facial expression that they are "somewhat tired," the server will generate a relaxation-focused plan. This plan would include a spa at a beach resort and quiet accommodation. Once the user approves this plan, the server makes the reservation, and the device receives a confirmation and a travel preparation notification. During the trip, relaxing music and guide information are provided, and adjustments are made to ensure the user has a comfortable experience.

[0591] This system provides a travel experience tailored to each user's individual emotional state, making travel planning more intuitive and satisfying.

[0592] The following describes the processing flow.

[0593] Step 1:

[0594] The user enters their travel preferences (destination, budget, travel duration, activities of interest, etc.) through their device, and allows the camera and microphone to be used by the emotion engine to analyze the user's emotional state.

[0595] Step 2:

[0596] The device sends the user's entered preferences to the server, and the emotion engine analyzes the collected facial expression and voice data to identify the user's emotional state.

[0597] Step 3:

[0598] The server analyzes the user's desired conditions and emotional state, and collects relevant information (transportation information, accommodation information, tourist destination information) from external sources on the internet.

[0599] Step 4:

[0600] The server uses a generative AI model to integrate collected travel information with user sentiment data and automatically generates multiple travel plans optimized for the user's emotions.

[0601] Step 5:

[0602] The server optimizes the generated travel plans, adjusts the display order of the plans based on sentiment data, and sends them to the device.

[0603] Step 6:

[0604] The device presents the generated travel plan to the user, who then reviews the plan details and selects their preferred plan.

[0605] Step 7:

[0606] The user selects the most suitable travel plan from the presented options and presses the confirm button to finalize their selection.

[0607] Step 8:

[0608] The server automatically makes real-time reservations for transportation and accommodation based on the travel plan selected by the user. During this process, the selection of destinations is made based on the user's emotional state.

[0609] Step 9:

[0610] The server confirms that the reservation is complete and sends the reservation details along with confirmation information to the terminal.

[0611] Step 10:

[0612] The device notifies the user of necessary preparation information before the trip, supporting the user in smoothly preparing for the trip.

[0613] Step 11:

[0614] The device monitors the user's emotional state in real time during the trip and provides changes to the travel plan or additional information as needed. In particular, it provides navigation and activity suggestions that enhance the user's sense of security and enjoyment.

[0615] (Example 2)

[0616] 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."

[0617] In travel planning, there is a growing need to provide personalized plans that take into account not only the user's specific conditions and travel preferences, but also the emotional experiences they wish to gain through their trip. However, existing systems struggle to take into account the user's emotional state, resulting in a challenge in providing the travel experience the user expects.

[0618] 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.

[0619] In this invention, the server includes input means for receiving travel preferences and emotional states from the user, information acquisition means for collecting transportation information, accommodation information, and tourist area information from external information sources on the Internet, and emotion recognition means for analyzing the user's facial expressions and tone of voice and recognizing the user's emotional state using an emotion engine. This makes it possible to generate a personalized travel plan based on the user's emotional state and provide the user with an optimal travel experience.

[0620] "Input means" refers to devices or methods for receiving information from users regarding their travel preferences and emotional state.

[0621] "Information acquisition means" refers to devices and methods for collecting information on transportation methods, accommodation facilities, and tourist areas from external information sources on the internet.

[0622] "Emotion recognition means" refers to devices or methods for analyzing a user's facial expressions and tone of voice, and recognizing the user's emotional state using an emotion engine.

[0623] A "plan generation means" refers to a device or method for generating multiple travel plans based on user sentiment data using a generation AI model.

[0624] A "presentation means" refers to a device or method for presenting a generated travel plan to a user and accepting the user's selection.

[0625] A "reservation method" refers to a device or method for automatically making reservations for transportation and accommodation based on a travel plan selected by the user.

[0626] A "navigation means" is a device or method for providing travel preparation information and on-site guidance according to the user's emotional state.

[0627] This invention relates to a travel planning support system that provides travel plans that take into account the user's emotional state. The system includes input means, information acquisition means, emotion recognition means, plan generation means, presentation means, reservation means, and navigation means.

[0628] First, the user inputs their travel preferences and emotional information via the device. The device is equipped with a camera and microphone, which allows it to capture the user's facial expressions and voice data.

[0629] Next, the server uses information acquisition means to collect necessary transportation information, accommodation information, and tourist area information from external sources on the internet, based on the user data received through the input means. This data is used to efficiently obtain the necessary information based on the user's travel conditions.

[0630] The emotion recognition system analyzes the user's facial expressions and voice data and uses an emotion engine to recognize the user's current emotional state. In this process, a sophisticated algorithm categorizes the user's emotions into categories such as relaxed, stressed, and energetic.

[0631] Based on this, the plan generation method uses a generation AI model to integrate user emotion data with information obtained from external sources and automatically generate multiple travel plans tailored to the user's emotional state. For example, the generation AI model might use prompts like: "If the user is seeking relaxation, please include quiet, scenic beach resorts as options."

[0632] The generated travel plan is presented to the user via the device. The presentation method prioritizes displaying the plan that best suits the user's state, based on the evaluation results of the emotion engine.

[0633] Once the user selects a plan, the server automatically uses a booking system to make reservations for transportation and accommodation according to the travel plan selected by the user.

[0634] Furthermore, the device provides users with travel preparation information and on-site navigation guidance. The navigation system takes the user's emotional state into consideration and adjusts the navigation to make on-site travel less stressful. For example, if the user gets lost, it provides clearer directions to give them a sense of security.

[0635] This system makes it easier for users to create and execute travel plans that suit their emotions and desires.

[0636] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0637] Step 1:

[0638] The user enters their travel preferences and emotional information into the terminal. This input includes data such as facial expressions and voice tone, captured using the available camera and microphone. The entered travel preferences and emotional information are then sent directly to the server for use in the next step.

[0639] Step 2:

[0640] The server uses an emotion engine to recognize the user's emotional state based on the received user's facial expressions and voice data. Specifically, it analyzes facial expressions using an image analysis algorithm and evaluates voice tone using a voice analysis algorithm. This process outputs an emotional state such as relaxed, stressed, or energetic.

[0641] Step 3:

[0642] Based on travel preferences, the server collects detailed information about transportation, accommodation, and tourist areas from external sources on the internet. The information retrieval system generates search queries and retrieves the necessary data from relevant resources. This information gathering process outputs the information needed for plan generation in the next step.

[0643] Step 4:

[0644] The server integrates emotional state data with external information and uses a generative AI model to automatically generate travel plans that match the user's emotions. Specifically, prompt sentences are input to the AI ​​model as prompts, and a corresponding travel plan is output. For example, a prompt such as "If the user is seeking relaxation, suggest a quiet beach resort" might be used.

[0645] Step 5:

[0646] The device presents the generated travel plan to the user. Based on the evaluation by the emotion engine, the most suitable plan is displayed to the user preferentially. The user can select their preferred plan from multiple options on the device.

[0647] Step 6:

[0648] The server automatically makes real-time reservations for transportation and accommodation using the user's selected travel plan. The reservation system references the details of the selected plan, sends the necessary information to the reservation system, and confirms the reservation. As output, reservation confirmation information is generated and provided to the user.

[0649] Step 7:

[0650] The device provides travel-related preparation information and on-site navigation guidance. The navigation system optimizes guidance during the trip, taking into account the user's emotional state. For example, it displays detailed maps and walking route guidance, and provides real-time support information to alleviate anxiety.

[0651] (Application Example 2)

[0652] 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."

[0653] Providing personalized travel plans that reflect a user's emotional state is challenging. Furthermore, if experiences and events at the destination don't align with the user's current desires and feelings, satisfaction may decrease. Additionally, making changes to plans on-site can be cumbersome and hinder a smooth travel experience. There is a need to address these issues and provide flexible and highly satisfying travel experiences that take into account the user's emotional state.

[0654] 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.

[0655] In this invention, the server includes an input device means for receiving travel conditions from the user, an information acquisition device means for acquiring transportation information, accommodation information, and sightseeing information from external information on the Internet, and a plan generation device means for generating multiple travel schedules based on the user's preferences and emotional state using a generation AI system. This makes it possible to automatically generate and present travel schedules that take the user's emotions into consideration.

[0656] 1. An "input device" is a device or means for receiving travel conditions from a user, and can also acquire emotional data using a camera or microphone.

[0657] 2. "Information acquisition device" refers to a device or means for collecting transportation information, accommodation information, and tourism information from external information sources on the Internet.

[0658] 3. A "generative AI system" is an artificial intelligence system that automatically generates multiple travel schedules based on the user's preferences and emotional state.

[0659] 4. A "plan generation device" is a means of generating multiple travel plans based on user preferences and emotional data, utilizing a generation AI system.

[0660] 5. "Presentation device" means a device or means that has the function of presenting a generated travel schedule to the user visually or audibly and accepting the user's selection.

[0661] 6. A "reservation device" is a device or means for automatically making reservations for transportation and accommodation based on the travel schedule selected by the user.

[0662] 7. "Navigation device" means a device or means for providing necessary preparation information and on-site guidance regarding travel.

[0663] 8. An "emotion recognition device" is a device or means for analyzing and recognizing a user's emotional state in real time from their facial expressions and tone of voice.

[0664] 9. A "tourism suggestion device" is a device or means that reflects the user's emotional state and suggests local experiences and events.

[0665] This invention is a system that proposes personalized travel plans that take into account the user's emotional state and makes real-time reservations for transportation and accommodation. The system is implemented as follows:

[0666] The server retrieves transportation, accommodation, and sightseeing information from external sources on the internet based on the travel conditions received from the user. Common search engine APIs and sightseeing information APIs are used for information retrieval. Based on this information, the server utilizes a generative AI system to automatically generate multiple travel plans based on the user's emotional data. The emotional data is obtained by analyzing the user's facial expressions and voice tone captured by the device's camera and microphone using an emotion recognition device. Deep learning frameworks such as TensorFlow are used as the generative AI model.

[0667] The generated travel plan is presented to the user via the terminal's display device. Once the user selects a specific plan, the server automatically makes reservations for transportation and accommodation based on that plan. Reservation information is managed using a common reservation service API. Furthermore, before and during the trip, the terminal's navigation device provides the user with preparation information and travel guidance.

[0668] For example, if a user enters "I want to relax today," the device's emotion recognition system detects the user's mild fatigue from their tone of voice. Based on this, the server's AI generation system automatically generates a relaxation plan at a quiet resort and presents it to the user via a suggestion device. An example of a prompt would be, "Based on the user's emotional data, please suggest a relaxing travel plan." This approach makes it possible to provide a travel experience optimized for the user's current situation.

[0669] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0670] Step 1:

[0671] The server receives user travel conditions and emotional data input from the terminal. The emotional data is the result of processing information acquired by the terminal's camera and microphone using an emotion recognition device. The input information is stored in the server's database.

[0672] Step 2:

[0673] The server collects transportation, accommodation, and tourist information from external sources on the internet. It uses an information acquisition device to call external APIs, filters the obtained information, and retains only the relevant data. This forms a dataset based on travel conditions.

[0674] Step 3:

[0675] The server uses a generative AI system to generate multiple travel plans based on the user's preferences and emotional state. It takes stored emotional data and collected travel information as input, analyzes the data, and outputs a travel plan adapted to the user's emotions. The prompt used is "Please suggest the best travel plan based on the user's emotional data."

[0676] Step 4:

[0677] The server presents the generated travel plan to the user via the terminal's display device. The user reviews the presented travel plan and selects their preferred plan. The user's selection is sent from the terminal to the server and recorded within the system.

[0678] Step 5:

[0679] Based on the user's selection, the server automatically makes reservations for transportation and accommodation. The reservation device books the specified services via the reservation API and returns the reservation confirmation information to the server.

[0680] Step 6:

[0681] Once the trip begins, the device's navigation system provides the user with travel preparation information and on-site transportation guidance. Based on the user's current location and booking information, the device notifies them of the optimal travel route and next activity.

[0682] 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.

[0683] 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.

[0684] 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.

[0685] [Fourth Embodiment]

[0686] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0687] 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.

[0688] 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).

[0689] 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.

[0690] 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.

[0691] 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).

[0692] 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.

[0693] 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.

[0694] 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.

[0695] 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.

[0696] 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.

[0697] 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.

[0698] 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".

[0699] This invention is a comprehensive support system designed to reduce the burden on users when planning trips and to provide travel experiences that better match individual preferences. This system integrates and implements multiple processes, including user input, information collection and analysis, travel plan generation, automated booking, and navigation support during travel.

[0700] The system begins with the user entering their travel preferences, such as destination, budget, duration, and activities of interest. Upon receiving this information, the server accesses external information sources on the internet in real time to gather information on transportation, accommodation, and tourist attractions.

[0701] The collected information is sent to a generation AI model on the server, which generates multiple optimized travel plans based on the user's preferences and conditions. Cost-effectiveness and schedule convenience are also considered. The generated plans are presented to the user via their device, allowing them to select a plan after reviewing detailed information and ratings.

[0702] Once the user selects the optimal travel plan, the server automatically makes reservations for transportation and accommodation based on that plan. In this step, the reservation process is completed using the API of each booking provider, and confirmation information is generated.

[0703] During the travel planning and while traveling, the device provides helpful information. Before departure, it presents a list of necessary preparations, and during the trip, it provides navigation assistance at the destination. This includes public transport transfer information and virtual reality guidance for walking routes.

[0704] For example, if a user inputs "I want to take a hot spring trip in the fall" into the system, the server will collect information on suitable hot spring resorts, accommodations, and transportation options in real time, and the AI ​​will suggest multiple plans. If the user selects the "Hakone Hot Spring 2-Night, 3-Day Plan," the server will automatically book the Shinkansen (bullet train) tickets and the hot spring inn, and notify the user's device of the reservation confirmation. Furthermore, on the day of the trip, the device's map app will provide virtual reality guidance showing the optimal walking route after arrival, supporting a smooth travel experience.

[0705] In this way, this system provides users with a seamless and personalized travel experience, establishing a new standard for travel planning.

[0706] The following describes the processing flow.

[0707] Step 1:

[0708] Users enter and submit their travel preferences (destination, budget, travel duration, activities of interest, etc.) through the terminal's interface.

[0709] Step 2:

[0710] The server receives travel conditions submitted by the user and analyzes them. Based on the analysis results, it then collects relevant information about transportation, accommodation, and tourist destinations from external sources on the internet.

[0711] Step 3:

[0712] The server inputs the collected information into a generating AI model, which automatically generates multiple travel plans that best match the user's preferences. This model optimizes the plans by considering factors such as cost, convenience, and ratings.

[0713] Step 4:

[0714] The server prepares the detailed information of the generated travel plan and sends it to the terminal.

[0715] Step 5:

[0716] The device displays the received travel plans to the user. The user reviews the plan details, and, while referring to ratings and reviews, selects the plan that best suits them.

[0717] Step 6:

[0718] Users select from several presented plans and confirm their desired travel plan by pressing the confirm button.

[0719] Step 7:

[0720] The server automates the booking process for transportation and accommodation based on the travel plan selected by the user. This is done using the APIs of each booking provider.

[0721] Step 8:

[0722] The server generates confirmation information once the reservation is complete and sends it to the terminal.

[0723] Step 9:

[0724] The device notifies the user of a packing list and important notes the day before the trip, helping them prepare for their trip.

[0725] Step 10:

[0726] The device provides virtual reality guidance for transportation transfers and walking routes at the destination on the day of travel, helping users enjoy their trip smoothly.

[0727] (Example 1)

[0728] 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".

[0729] Planning and booking travel typically involves using multiple websites and travel agencies individually, which is time-consuming and laborious. Furthermore, finding a travel plan that suits individual preferences and circumstances is difficult. Solving this challenge requires integrated information gathering and analysis, as well as the optimization and automation of travel planning.

[0730] 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.

[0731] In this invention, the server includes data collection means for receiving travel conditions from the user, information collection means for collecting transportation information, accommodation information, and tourist area information from external information sources on an information and communication network, and plan generation means for generating a large number of travel plans based on the user's preferences using generating AI. This makes it possible for the user to efficiently obtain travel plans that match their preferences and automate the booking process.

[0732] "Users" refer to people who use the system to plan their trips.

[0733] "Data collection methods" refer to the methods and procedures for receiving travel-related conditions from users.

[0734] "Information and communication network" refers to a network used to obtain information from external sources, including the Internet.

[0735] "External information sources" refer to services and databases that provide information on transportation options, accommodation options, tourist destinations, etc.

[0736] "Information gathering methods" refer to the methods and procedures for gathering necessary information from external sources.

[0737] "Transportation information" refers to information about the means of transportation available during a trip.

[0738] "Accommodation information" refers to information about accommodations available during travel.

[0739] "Tourist destination information" refers to information about tourist destinations that can be visited during a trip.

[0740] "Generative AI" refers to a method that uses artificial intelligence technology to generate travel plans based on user input.

[0741] "Plan generation means" refers to the method or procedure for generating a travel plan based on the user's desired conditions.

[0742] "Display means" refers to the methods and procedures for presenting a generated travel plan to the user and accepting their selections.

[0743] "Reservation procedures" refer to methods and procedures that automatically make reservations for transportation and accommodation based on the travel plan selected by the user.

[0744] "Guidance methods" refer to the methods and procedures for providing necessary preparation information for travel and guidance on transportation routes at the destination.

[0745] "Virtual reality" refers to a technology that uses computer technology to allow users to experience a visual environment different from the real world.

[0746] The system of the present invention provides users with personalized travel plans, enabling them to plan and book their trips more efficiently.

[0747] The user first enters travel details into the device, such as the destination, dates, budget, and specific interests. This device is usually a smartphone or computer, and information can be entered through a dedicated application or web interface.

[0748] Upon receiving input data from a user, the server accesses external information sources via the information and communication network to collect the latest data on transportation, accommodation, and tourist destinations. This information collection method includes airline APIs, accommodation APIs, and tourism information APIs, enabling real-time information retrieval.

[0749] The collected information is transferred to a generative AI model on the server. This generative AI model automatically generates multiple travel plans based on user input data and data collected from external sources. In this process, the optimal plan is formulated from multiple perspectives, including cost-effectiveness and schedule convenience.

[0750] These generated plans are presented to the user via their device. The user reviews the details of each plan on the device screen and selects the plan they like. After selection, the server uses an API to automatically make the necessary reservations, completing the booking process for transportation and accommodation.

[0751] Before and during the trip, the device provides the user with necessary information and instructions. Before departure, it presents a list of things to prepare, and at the destination, it can utilize navigation methods to provide virtual reality-based walking route guidance.

[0752] As a concrete example, when a user enters the prompt "I'm planning a hot spring trip in the fall. Please suggest some recommended hot spring resorts and itineraries," the server gathers information on suitable hot spring resorts based on that prompt and presents several optimized itineraries. If the user selects the "Hakone Hot Spring 2-Night, 3-Day Plan," the server automatically arranges Shinkansen tickets and makes reservations at the hot spring inn, and sends the necessary information to the user's device. This ensures a smooth travel experience.

[0753] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0754] Step 1:

[0755] The user uses a terminal to enter information about their travel plans. This input includes destination, budget, travel duration, and activities of interest. The terminal formats this information and sends it to the server. At this stage, user preference data is collected.

[0756] Step 2:

[0757] Upon receiving user input data, the server accesses external information sources via the information and communication network. This involves retrieving data from APIs related to transportation, accommodation, and tourist destinations. The server aggregates this information and filters it to match the user's criteria. This process yields useful travel-related data.

[0758] Step 3:

[0759] The server inputs aggregated data into a generative AI model. The generative AI model generates multiple travel plans based on this data and user conditions. The AI ​​model creates multiple options, considering cost-effectiveness and schedule optimization. These outputs become candidate plans to be presented to the user.

[0760] Step 4:

[0761] The server sends the generated travel plans to the terminal. The terminal displays these to the user, allowing them to review the details, cost, and convenience of each plan. Based on this information, the user selects the most suitable plan. This interface allows the user to compare each plan.

[0762] Step 5:

[0763] Based on the travel plan selected by the user, the server begins the booking process. This includes an automated process of booking transportation and accommodation using APIs from airlines and hotels. After the booking is complete, confirmation information is generated.

[0764] Step 6:

[0765] The server notifies the terminal of the reservation confirmation information. The terminal displays this information to the user and presents digital ticket information, including the necessary reservation confirmation and QR code. This allows the user to receive their travel documents immediately.

[0766] Step 7:

[0767] The device provides guidance during the travel planning phase and throughout the trip. Before departure, it sends the user a preparation list, and during the trip, it provides transportation transfer information and virtual reality-based walking route guidance. This navigation support allows users to travel smoothly to their destination.

[0768] (Application Example 1)

[0769] 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".

[0770] Modern travelers face the challenge of having to individually gather a lot of information and make decisions based on that information, such as selecting destinations, making reservations, and securing local transportation, which is time-consuming and laborious. Furthermore, in family travel, it is even more difficult to create a travel plan that satisfies each member due to differing interests and activities among generations. The aim is to solve these problems and enable individual travelers to plan and execute their trips comfortably.

[0771] 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.

[0772] In this invention, the server includes an input device that receives travel conditions from the user, an information acquisition device that collects information on means of transport, means of accommodation, and tourist destinations from information sources on a communication network, and a plan generation device that creates a travel plan based on the user's preferences using a generation AI algorithm. As a result, the user can easily receive a personalized travel plan while saving time and effort, and enjoy a more comfortable and efficient trip.

[0773] An "input device for receiving travel conditions from users" is an interface that allows travelers to input their travel destination, budget, itinerary, and preferred activities into the system.

[0774] An "information acquisition device that collects information on transportation methods, accommodation methods, and tourist destinations from information sources on a communication network" is a system device for automatically acquiring data on transportation, accommodation, and tourist destinations via the internet.

[0775] A "travel plan generation device that creates travel plans based on user preferences using a generative AI algorithm" is a device that uses artificial intelligence technology to analyze input travel conditions and devise the optimal travel plan that matches the traveler's preferences.

[0776] A "presentation device that displays created travel plans to the user and accepts the user's selection" is an interface that displays multiple generated travel plans to the traveler and allows them to select the plan they prefer from among them.

[0777] A "booking device that automatically makes reservations for transportation and accommodation according to the travel plan selected by the user" is a device that automatically completes the arrangement of transportation tickets and accommodations online based on the selected travel plan.

[0778] A "navigation device that provides important travel preparation information and assistance with transportation at the destination" is a digital device that informs travelers of necessary preparations before their trip and provides directions to help them travel effectively after arriving at their destination.

[0779] A "visualization device that uses virtual reality technology to provide directions to destinations and visualize information about tourist spots" is a device that provides real-time route guidance to destinations and visually displays the history and details of tourist spots.

[0780] The system of this invention aims to integrate a large amount of information to efficiently support travelers' planning and to provide a user-friendly service. This system mainly consists of three components: a server, a terminal, and a user.

[0781] The server plays a central role in collecting and processing information through the communication network. Based on travel conditions entered by the user, the server automatically retrieves information on transportation, accommodation, and tourist destinations from various sources on the internet. This includes backend data processing using Node.js and Express.

[0782] The acquired information is stored in MongoDB and then processed by a generative AI algorithm. Using the generative AI model, an optimal travel plan is created that takes into account the traveler's preferences and circumstances. In this step, AI technologies such as GPT-3 are used to create the travel plan.

[0783] On the user's device, multiple generated travel plans are presented through an intuitive user interface built with React Native. The user can select their preferred plan, and based on the selected plan, the server automatically completes online reservations for transportation and accommodation. Relevant APIs are used to manage the reservations.

[0784] Furthermore, real-time navigation and visual guidance features at tourist destinations are provided during travel. For this purpose, virtual reality technology utilizing ARKit and ARcore is used, and the device assists with real-time route guidance at the destination.

[0785] As a concrete example, let's say a user is planning a family trip to a hot spring resort in the fall. When the user inputs, "I want a 2-night, 3-day trip to a family-friendly hot spring resort in the fall," the server requests the AI ​​to generate the optimal plan based on this information, and the AI ​​creates the plan using the following prompts:

[0786] Places users want to visit: Hot spring resorts

[0787] We are looking for a family trip, in the fall, for 2 nights and 3 days.

[0788] Please provide five travel plans that meet these conditions.

[0789] In this way, users receive consistent support from planning and booking to during their trip, resulting in a productive and enjoyable travel experience.

[0790] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0791] Step 1:

[0792] The user enters travel details into their device. Specifically, they enter their travel destination, budget, dates, and activities of interest into the app's input form. This input information is sent to the server as initial data for the program.

[0793] Step 2:

[0794] Based on the received travel conditions, the server automatically collects transportation, accommodation, and tourist destination information from the communication network using an information acquisition device. Here, requests are sent to each information source via a RESTful API to obtain the necessary data. The output at this stage is raw data obtained from multiple information sources.

[0795] Step 3:

[0796] The acquired raw data is stored in MongoDB. The server uses this stored data as input to perform data analysis using a generative AI algorithm and generate multiple travel plans based on the user's preferences. A generative AI model such as GPT-3 is used to create prompt statements and design an optimized travel plan. In this process, the prompt statements become instructions to the AI ​​model, and a specific travel plan is output.

[0797] Step 4:

[0798] The server sends the generated travel plans to the device. The device presents these plans to the user through a user interface developed with React Native. The user compares the details of each plan and selects the one that best suits their preferences. This selection becomes the input for the next processing step.

[0799] Step 5:

[0800] Based on the selected travel plan, the server automatically proceeds with booking transportation and accommodation. It executes the necessary API calls to complete the booking process and obtain confirmation information. The output is a set of confirmation information indicating that all bookings have been completed.

[0801] Step 6:

[0802] Before and during a trip, the device provides the user with necessary preparation information and navigation assistance. Specifically, it displays a list of necessary items before departure and provides visual route guidance using virtual reality technology during the trip. It uses ARKit and ARcore to enhance on-site navigation and support the user's movement. As part of this function, specific directions and information about tourist attractions are displayed on the user's device.

[0803] 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.

[0804] This invention proposes a travel planning support system that incorporates an emotion engine to further personalize the user's travel experience. This system generates and presents travel plans that take the user's emotions into account, and automates the booking process.

[0805] This system recognizes the user's current emotional state using an emotion engine when the user inputs their travel preferences. This is achieved by analyzing the user's facial expressions and tone of voice using input devices (e.g., camera, microphone). Upon receiving this input information, the server collects necessary travel information from external sources on the internet and utilizes the emotional data obtained by the emotion engine to generate a travel plan.

[0806] The generative AI model integrates collected information and emotional data to automatically generate travel plans tailored to the user's emotions. For example, a user feeling stressed will be offered a relaxing plan, while an energetic user will be offered an active plan. The generated plans are presented to the user via their device, and the most suitable plan is prioritized based on the emotional engine's judgment.

[0807] Once a user selects a travel plan, the server makes real-time reservations for transportation and accommodation based on the chosen plan. During this process, emotional data is reconsidered to ensure selections that maximize user satisfaction.

[0808] The device notifies the user of pre-trip preparation information and provides interactive navigation and support based on an emotion engine during the trip. For example, if the user feels anxious at their destination, the device will provide clearer directions and activity recommendations.

[0809] For example, if a user enters "I want to relax on the beach in the summer," and the emotion engine determines from the user's facial expression that they are "somewhat tired," the server will generate a relaxation-focused plan. This plan would include a spa at a beach resort and quiet accommodation. Once the user approves this plan, the server makes the reservation, and the device receives a confirmation and a travel preparation notification. During the trip, relaxing music and guide information are provided, and adjustments are made to ensure the user has a comfortable experience.

[0810] This system provides a travel experience tailored to each user's individual emotional state, making travel planning more intuitive and satisfying.

[0811] The following describes the processing flow.

[0812] Step 1:

[0813] The user enters their travel preferences (destination, budget, travel duration, activities of interest, etc.) through their device, and allows the camera and microphone to be used by the emotion engine to analyze the user's emotional state.

[0814] Step 2:

[0815] The device sends the user's entered preferences to the server, and the emotion engine analyzes the collected facial expression and voice data to identify the user's emotional state.

[0816] Step 3:

[0817] The server analyzes the user's desired conditions and emotional state, and collects relevant information (transportation information, accommodation information, tourist destination information) from external sources on the internet.

[0818] Step 4:

[0819] The server uses a generative AI model to integrate collected travel information with user sentiment data and automatically generates multiple travel plans optimized for the user's emotions.

[0820] Step 5:

[0821] The server optimizes the generated travel plans, adjusts the display order of the plans based on sentiment data, and sends them to the device.

[0822] Step 6:

[0823] The device presents the generated travel plan to the user, who then reviews the plan details and selects their preferred plan.

[0824] Step 7:

[0825] The user selects the most suitable travel plan from the presented options and presses the confirm button to finalize their selection.

[0826] Step 8:

[0827] The server automatically makes real-time reservations for transportation and accommodation based on the travel plan selected by the user. During this process, the selection of destinations is made based on the user's emotional state.

[0828] Step 9:

[0829] The server confirms that the reservation is complete and sends the reservation details along with confirmation information to the terminal.

[0830] Step 10:

[0831] The device notifies the user of necessary preparation information before the trip, supporting the user in smoothly preparing for the trip.

[0832] Step 11:

[0833] The device monitors the user's emotional state in real time during the trip and provides changes to the travel plan or additional information as needed. In particular, it provides navigation and activity suggestions that enhance the user's sense of security and enjoyment.

[0834] (Example 2)

[0835] 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".

[0836] In travel planning, there is a growing need to provide personalized plans that take into account not only the user's specific conditions and travel preferences, but also the emotional experiences they wish to gain through their trip. However, existing systems struggle to take into account the user's emotional state, resulting in a challenge in providing the travel experience the user expects.

[0837] 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.

[0838] In this invention, the server includes input means for receiving travel preferences and emotional states from the user, information acquisition means for collecting transportation information, accommodation information, and tourist area information from external information sources on the Internet, and emotion recognition means for analyzing the user's facial expressions and tone of voice and recognizing the user's emotional state using an emotion engine. This makes it possible to generate a personalized travel plan based on the user's emotional state and provide the user with an optimal travel experience.

[0839] "Input means" refers to devices or methods for receiving information from users regarding their travel preferences and emotional state.

[0840] "Information acquisition means" refers to devices and methods for collecting information on transportation methods, accommodation facilities, and tourist areas from external information sources on the internet.

[0841] "Emotion recognition means" refers to devices or methods for analyzing a user's facial expressions and tone of voice, and recognizing the user's emotional state using an emotion engine.

[0842] A "plan generation means" refers to a device or method for generating multiple travel plans based on user sentiment data using a generation AI model.

[0843] A "presentation means" refers to a device or method for presenting a generated travel plan to a user and accepting the user's selection.

[0844] A "reservation method" refers to a device or method for automatically making reservations for transportation and accommodation based on a travel plan selected by the user.

[0845] A "navigation means" is a device or method for providing travel preparation information and on-site guidance according to the user's emotional state.

[0846] This invention relates to a travel planning support system that provides travel plans that take into account the user's emotional state. The system includes input means, information acquisition means, emotion recognition means, plan generation means, presentation means, reservation means, and navigation means.

[0847] First, the user inputs their travel preferences and emotional information via the device. The device is equipped with a camera and microphone, which allows it to capture the user's facial expressions and voice data.

[0848] Next, the server uses information acquisition means to collect necessary transportation information, accommodation information, and tourist area information from external sources on the internet, based on the user data received through the input means. This data is used to efficiently obtain the necessary information based on the user's travel conditions.

[0849] The emotion recognition system analyzes the user's facial expressions and voice data and uses an emotion engine to recognize the user's current emotional state. In this process, a sophisticated algorithm categorizes the user's emotions into categories such as relaxed, stressed, and energetic.

[0850] Based on this, the plan generation method uses a generation AI model to integrate user emotion data with information obtained from external sources and automatically generate multiple travel plans tailored to the user's emotional state. For example, the generation AI model might use prompts like: "If the user is seeking relaxation, please include quiet, scenic beach resorts as options."

[0851] The generated travel plan is presented to the user via the device. The presentation method prioritizes displaying the plan that best suits the user's state, based on the evaluation results of the emotion engine.

[0852] Once the user selects a plan, the server automatically uses a booking system to make reservations for transportation and accommodation according to the travel plan selected by the user.

[0853] Furthermore, the device provides users with travel preparation information and on-site navigation guidance. The navigation system takes the user's emotional state into consideration and adjusts the navigation to make on-site travel less stressful. For example, if the user gets lost, it provides clearer directions to give them a sense of security.

[0854] This system makes it easier for users to create and execute travel plans that suit their emotions and desires.

[0855] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0856] Step 1:

[0857] The user enters their travel preferences and emotional information into the terminal. This input includes data such as facial expressions and voice tone, captured using the available camera and microphone. The entered travel preferences and emotional information are then sent directly to the server for use in the next step.

[0858] Step 2:

[0859] The server uses an emotion engine to recognize the user's emotional state based on the received user's facial expressions and voice data. Specifically, it analyzes facial expressions using an image analysis algorithm and evaluates voice tone using a voice analysis algorithm. This process outputs an emotional state such as relaxed, stressed, or energetic.

[0860] Step 3:

[0861] Based on travel preferences, the server collects detailed information about transportation, accommodation, and tourist areas from external sources on the internet. The information retrieval system generates search queries and retrieves the necessary data from relevant resources. This information gathering process outputs the information needed for plan generation in the next step.

[0862] Step 4:

[0863] The server integrates emotional state data with external information and uses a generative AI model to automatically generate travel plans that match the user's emotions. Specifically, prompt sentences are input to the AI ​​model as prompts, and a corresponding travel plan is output. For example, a prompt such as "If the user is seeking relaxation, suggest a quiet beach resort" might be used.

[0864] Step 5:

[0865] The device presents the generated travel plan to the user. Based on the evaluation by the emotion engine, the most suitable plan is displayed to the user preferentially. The user can select their preferred plan from multiple options on the device.

[0866] Step 6:

[0867] The server automatically makes real-time reservations for transportation and accommodation using the user's selected travel plan. The reservation system references the details of the selected plan, sends the necessary information to the reservation system, and confirms the reservation. As output, reservation confirmation information is generated and provided to the user.

[0868] Step 7:

[0869] The device provides travel-related preparation information and on-site navigation guidance. The navigation system optimizes guidance during the trip, taking into account the user's emotional state. For example, it displays detailed maps and walking route guidance, and provides real-time support information to alleviate anxiety.

[0870] (Application Example 2)

[0871] 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".

[0872] Providing personalized travel plans that reflect a user's emotional state is challenging. Furthermore, if experiences and events at the destination don't align with the user's current desires and feelings, satisfaction may decrease. Additionally, making changes to plans on-site can be cumbersome and hinder a smooth travel experience. There is a need to address these issues and provide flexible and highly satisfying travel experiences that take into account the user's emotional state.

[0873] 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.

[0874] In this invention, the server includes an input device means for receiving travel conditions from the user, an information acquisition device means for acquiring transportation information, accommodation information, and sightseeing information from external information on the Internet, and a plan generation device means for generating multiple travel schedules based on the user's preferences and emotional state using a generation AI system. This makes it possible to automatically generate and present travel schedules that take the user's emotions into consideration.

[0875] 1. An "input device" is a device or means for receiving travel conditions from a user, and can also acquire emotional data using a camera or microphone.

[0876] 2. "Information acquisition device" refers to a device or means for collecting transportation information, accommodation information, and tourism information from external information sources on the Internet.

[0877] 3. A "generative AI system" is an artificial intelligence system that automatically generates multiple travel schedules based on the user's preferences and emotional state.

[0878] 4. A "plan generation device" is a means of generating multiple travel plans based on user preferences and emotional data, utilizing a generation AI system.

[0879] 5. "Presentation device" means a device or means that has the function of presenting a generated travel schedule to the user visually or audibly and accepting the user's selection.

[0880] 6. A "reservation device" is a device or means for automatically making reservations for transportation and accommodation based on the travel schedule selected by the user.

[0881] 7. "Navigation device" means a device or means for providing necessary preparation information and on-site guidance regarding travel.

[0882] 8. An "emotion recognition device" is a device or means for analyzing and recognizing a user's emotional state in real time from their facial expressions and tone of voice.

[0883] 9. A "tourism suggestion device" is a device or means that reflects the user's emotional state and suggests local experiences and events.

[0884] This invention is a system that proposes personalized travel plans that take into account the user's emotional state and makes real-time reservations for transportation and accommodation. The system is implemented as follows:

[0885] The server retrieves transportation, accommodation, and sightseeing information from external sources on the internet based on the travel conditions received from the user. Common search engine APIs and sightseeing information APIs are used for information retrieval. Based on this information, the server utilizes a generative AI system to automatically generate multiple travel plans based on the user's emotional data. The emotional data is obtained by analyzing the user's facial expressions and voice tone captured by the device's camera and microphone using an emotion recognition device. Deep learning frameworks such as TensorFlow are used as the generative AI model.

[0886] The generated travel plan is presented to the user via the terminal's display device. Once the user selects a specific plan, the server automatically makes reservations for transportation and accommodation based on that plan. Reservation information is managed using a common reservation service API. Furthermore, before and during the trip, the terminal's navigation device provides the user with preparation information and travel guidance.

[0887] For example, if a user enters "I want to relax today," the device's emotion recognition system detects the user's mild fatigue from their tone of voice. Based on this, the server's AI generation system automatically generates a relaxation plan at a quiet resort and presents it to the user via a suggestion device. An example of a prompt would be, "Based on the user's emotional data, please suggest a relaxing travel plan." This approach makes it possible to provide a travel experience optimized for the user's current situation.

[0888] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0889] Step 1:

[0890] The server receives user travel conditions and emotional data input from the terminal. The emotional data is the result of processing information acquired by the terminal's camera and microphone using an emotion recognition device. The input information is stored in the server's database.

[0891] Step 2:

[0892] The server collects transportation, accommodation, and tourist information from external sources on the internet. It uses an information acquisition device to call external APIs, filters the obtained information, and retains only the relevant data. This forms a dataset based on travel conditions.

[0893] Step 3:

[0894] The server uses a generative AI system to generate multiple travel plans based on the user's preferences and emotional state. It takes stored emotional data and collected travel information as input, analyzes the data, and outputs a travel plan adapted to the user's emotions. The prompt used is "Please suggest the best travel plan based on the user's emotional data."

[0895] Step 4:

[0896] The server presents the generated travel plan to the user via the terminal's display device. The user reviews the presented travel plan and selects their preferred plan. The user's selection is sent from the terminal to the server and recorded within the system.

[0897] Step 5:

[0898] Based on the user's selection, the server automatically makes reservations for transportation and accommodation. The reservation device books the specified services via the reservation API and returns the reservation confirmation information to the server.

[0899] Step 6:

[0900] Once the trip begins, the device's navigation system provides the user with travel preparation information and on-site transportation guidance. Based on the user's current location and booking information, the device notifies them of the optimal travel route and next activity.

[0901] 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.

[0902] 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.

[0903] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0904] 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.

[0905] 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.

[0906] 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.

[0907] 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.

[0908] 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.

[0909] 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."

[0910] 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.

[0911] 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.

[0912] 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.

[0913] 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.

[0914] 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.

[0915] 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.

[0916] 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.

[0917] 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.

[0918] 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.

[0919] 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.

[0920] 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.

[0921] 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.

[0922] The following is further disclosed regarding the embodiments described above.

[0923] (Claim 1)

[0924] An input method for receiving travel conditions from the user,

[0925] Information acquisition means for collecting transportation information, accommodation information, and tourist destination information from external information sources on the internet,

[0926] A plan generation method that generates multiple travel plans based on user preferences using a generative AI model,

[0927] A presentation method that presents the generated travel plan to the user and accepts the user's selection,

[0928] A booking method that automatically makes reservations for transportation and accommodation based on the travel plan selected by the user,

[0929] A navigation system that provides necessary preparation information for travel and guidance on getting around at the destination,

[0930] A system that includes this.

[0931] (Claim 2)

[0932] The system according to claim 1, which has a function to provide virtual reality guidance for transportation transfers and walking routes based on user input.

[0933] (Claim 3)

[0934] The system according to claim 1, which has a function to suggest the optimal travel date and destination based on the reservation status.

[0935] "Example 1"

[0936] (Claim 1)

[0937] A data collection method for receiving travel conditions from users,

[0938] Information gathering means for collecting transportation information, accommodation information, and tourist area information from external information sources on information and communication networks,

[0939] A plan generation means that generates a large number of travel plans based on the user's preferences using a generation AI,

[0940] A display means that presents the generated travel plan to the user and accepts the user's selection,

[0941] A booking system that automatically makes reservations for transportation and accommodation based on the travel plan selected by the user,

[0942] A means of providing necessary preparation information for travel and guidance on local transportation routes,

[0943] Support methods including guidance on walking routes using virtual reality technology,

[0944] A system that includes this.

[0945] (Claim 2)

[0946] The system according to claim 1, which provides transportation transfer guidance and walking route guidance using virtual reality technology based on user input.

[0947] (Claim 3)

[0948] The system according to claim 1, further comprising a function to suggest the optimal travel dates and destinations based on the reservation status.

[0949] "Application Example 1"

[0950] (Claim 1)

[0951] An input device that receives travel conditions from the user,

[0952] An information acquisition device that collects information on means of transportation, means of accommodation, and tourist destinations from information sources on a communication network,

[0953] A plan generation device that uses a generation AI algorithm to create travel plans based on user preferences,

[0954] A presentation device that displays the created travel plan to the user and accepts the user's selection,

[0955] A reservation device that automatically makes reservations for transportation and accommodation according to the travel plan selected by the user,

[0956] A navigation system that provides important travel preparation information and assistance with transportation at the destination,

[0957] A visualization device that uses virtual reality technology to provide directions to destinations and visualize information about tourist spots,

[0958] A system that includes this.

[0959] (Claim 2)

[0960] The system according to claim 1, which has a function to create a travel plan that includes family-friendly activities based on the conditions of a family trip.

[0961] (Claim 3)

[0962] The system according to claim 1, which uses a database to manage the reservation status of transportation and accommodation in real time and has a function to suggest the optimal travel date and destination in order to support the user's travel planning.

[0963] "Example 2 of combining an emotion engine"

[0964] (Claim 1)

[0965] An input means for receiving travel preferences and emotional states from the user,

[0966] Information acquisition means for collecting transportation information, accommodation information, and tourist area information from external information sources on the internet,

[0967] An emotion recognition means that analyzes the user's facial expressions and tone of voice, and recognizes the user's emotional state using an emotion engine,

[0968] A plan generation method that generates multiple travel plans based on user sentiment data using a generative AI model,

[0969] A presentation method that presents the generated travel plan to the user and accepts the user's selection,

[0970] A booking system that automatically makes reservations for transportation and accommodation based on the travel plan selected by the user,

[0971] A navigation system that provides travel preparation information and on-site transportation guidance according to emotional state,

[0972] A system that includes this.

[0973] (Claim 2)

[0974] The system according to claim 1, which has a function to provide virtual reality guidance for transportation transfers and walking routes, taking into account the user's emotional state.

[0975] (Claim 3)

[0976] The system according to claim 1, further comprising a function that suggests the optimal travel date and destination according to the reservation status and the user's emotional state.

[0977] "Application example 2 when combining with an emotional engine"

[0978] (Claim 1)

[0979] An input device that receives travel conditions from the user,

[0980] An information acquisition device that obtains transportation information, accommodation information, and tourist information from external information on the internet,

[0981] A plan generation device that generates multiple travel schedules based on the user's preferences and emotional state using a generation AI system,

[0982] A presentation device that displays a generated travel schedule to the user and accepts the user's selection,

[0983] A booking device that automatically makes reservations for transportation and accommodation based on the travel schedule selected by the user,

[0984] A navigation device that provides necessary travel preparation information and local transportation guidance,

[0985] An emotion recognition device that analyzes the user's emotional state in real time based on facial expressions and tone of voice,

[0986] A tourism suggestion device that reflects the user's emotional state and proposes local experiences and events,

[0987] A system that includes this.

[0988] (Claim 2)

[0989] The system according to claim 1, which has the function of providing transfer guidance for means of transport and virtual reality guidance for walking routes based on user input.

[0990] (Claim 3)

[0991] The system according to claim 1, which has a function to suggest the optimal travel date and destination according to the reservation status and to take into account the user's emotional state. [Explanation of Symbols]

[0992] 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. An input device that receives travel conditions from the user, An information acquisition device that collects information on means of transportation, means of accommodation, and tourist destinations from information sources on a communication network, A plan generation device that uses a generation AI algorithm to create travel plans based on user preferences, A presentation device that displays the created travel plan to the user and accepts the user's selection, A reservation device that automatically makes reservations for transportation and accommodation according to the travel plan selected by the user, A navigation system that provides important travel preparation information and assistance with transportation at the destination, A visualization device that uses virtual reality technology to provide directions to destinations and visualize information about tourist spots, A system that includes this.

2. The system according to claim 1, which has a function to create a travel plan that includes family-friendly activities based on the conditions of a family trip.

3. The system according to claim 1, which uses a database to manage the reservation status of transportation and accommodation in real time and has a function to suggest the optimal travel date and destination in order to support the user's travel planning.

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