system

Abstract

We provide the system. [Solution] An input method for receiving travel preferences from the user, Information processing means that collects destination information based on the desired information and generates an optimal travel plan, A booking method that automatically makes reservations for associated services based on the generated travel plan, A system that includes this.

Description

Technical Field

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

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, and includes steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance 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] When planning a trip, it is necessary to consider multiple elements such as destination selection, budget management, accommodation and transportation arrangements, etc., which takes a lot of time and effort. Also, it is difficult for travelers to find the optimal plan for themselves, and there is a tendency to miss discounts and benefits, which may damage the user experience. These problems affect the overall enjoyment from the preparation stage of the trip plan and increase the burden on travelers.

Means for Solving the Problems

[0005] To solve these problems, the present invention provides a system comprising: an input means for receiving travel preference information from a user; an information processing means for collecting destination information and generating an optimal travel plan based on the preference information; and a reservation means for automatically making reservations for associated services based on the generated travel plan. Furthermore, the information processing means optimizes the travel plan by utilizing past evaluation information and word-of-mouth information, and the reservation means optimizes travel costs by taking into account discount information and special offer information, enabling users to complete travel planning and reservations quickly and efficiently.

[0006] A "user" is the entity that inputs travel preferences into the system and receives a travel plan.

[0007] "Travel preferences" include information necessary for creating a travel plan, such as destination, budget, number of people, age, and desired activities.

[0008] An "input method" refers to an interface or device used to receive travel-related information from the user.

[0009] "Destination information" refers to detailed information about the travel destination, including geographical, cultural, tourist attractions, accommodations, and transportation options.

[0010] "Information processing means" refers to a function that collects destination information based on the user's desired information and generates an optimal travel plan.

[0011] A "travel plan" refers to a schedule and arrangement information that includes the itinerary, accommodation, transportation, and activities at the destination.

[0012] A "booking method" is a function that automatically makes reservations for relevant services and facilities based on the generated travel plan.

[0013] "Rating information" refers to records of reviews and ratings given by past travelers to destinations and services.

[0014] "Word-of-mouth information" refers to unofficial information that includes personal opinions and feelings about travel destinations and services.

[0015] "Discount information" refers to information about campaigns and special offers that allow for cost reduction in accommodation, transportation, activities, etc.

[0016] "Benefit information" refers to information about additional services, products, and special treatments provided to travelers.

Brief Explanation of Drawings

[0017] [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 multiple emotions are mapped. [Figure 10] It shows an emotion map to which multiple 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 Embodiment 2 when combined with an emotion engine. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when combined with an emotion engine.

Mode for Carrying Out the Invention

[0018] Hereinafter, an example of an embodiment of the system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0019] First, the language used in the following description will be explained.

[0020] In the following embodiments, a labeled processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0021] In the following embodiments, a labeled RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0022] 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.

[0023] 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).

[0024] 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."

[0025] [First Embodiment]

[0026] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0027] 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.

[0028] 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).

[0029] 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.

[0030] 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.

[0031] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form 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.

[0032] 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.

[0033] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0034] 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.

[0035] 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.

[0036] 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.

[0037] 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".

[0038] This invention is a system for automatically and efficiently planning and booking travel, aiming to reduce the burden on users. The system provides an interface that allows users to easily input their travel preferences, and based on the input data, generates an optimal travel plan for the destination. It then utilizes AI to refer to past reviews and user feedback to suggest the best plan. Furthermore, it automates booking for associated services while considering special offers and discounts. The program processing of this system is described below.

[0039] First, the device receives travel preferences from the user. This information includes destination, budget, number of people, age, and desired activities. The user enters this information in a form and submits it. The device receives the input data and sends it to the server.

[0040] The server activates the AI ​​assistant based on the received data. The AI ​​assistant generates the optimal travel plan from the entered conditions. This includes gathering information on attractions, accommodations, and transportation from a destination database. The AI ​​also uses ratings and reviews provided by past travelers to narrow down and optimize the options.

[0041] After the AI ​​assistant generates a travel plan, the server automatically searches for services to book. During this process, it prioritizes special offers and discounts to optimize costs. It then creates a list of available services and facilities and sends it to the device.

[0042] The terminal presents the user with an optimized travel plan provided by the server. The user can review the travel plan and use the provided booking link to make further details and finalize the booking. Once the user has made their selections, the terminal returns the completed booking information to the server to ensure that the travel plan is executed correctly.

[0043] As a concrete example, suppose a user inputs, "I want to stay in Paris, France for 5 days, with a budget of 200,000 yen, and enjoy sightseeing and visiting museums." Based on these preferences, the server uses AI to research Parisian tourist attractions, suitable hotels, and transportation options, and generates a highly-rated schedule. Furthermore, the AI ​​suggests discounted airfare and museum tickets with perks, providing a satisfying travel plan within the budget. In this way, users can quickly put together a detailed and actionable travel plan.

[0044] The following describes the processing flow.

[0045] Step 1:

[0046] The device displays a screen for the user to enter travel preferences. The user enters information such as desired destination, budget, number of people, age, and desired activities, and then presses the submit button.

[0047] Step 2:

[0048] The terminal receives user input information and sends it to the server. The server analyzes the received information and verifies the data's integrity.

[0049] Step 3:

[0050] The server activates the AI ​​assistant and instructs it to generate the optimal travel plan based on the entered preferences. The AI ​​assistant searches a database of destinations and gathers information on attractions, accommodations, and transportation.

[0051] Step 4:

[0052] The server analyzes past traveler ratings and reviews through an AI assistant. Based on this information, it narrows down the options and creates the optimal travel plan.

[0053] Step 5:

[0054] The server automatically searches for available services based on plans generated by AI. It then optimizes reservations by utilizing booking methods and taking into account special offers and discounts.

[0055] Step 6:

[0056] The server sends an optimized travel plan and booking information to the terminal. The terminal displays the detailed travel plan to the user and asks for confirmation.

[0057] Step 7:

[0058] The user reviews the presented travel plan and completes the booking by clicking the provided link. The device then resends the completed booking information to the server.

[0059] Step 8:

[0060] The server confirms the user's booking is complete, compiles all the information, and sends a final confirmation notification to the terminal. The terminal displays the booking completion notification to the user, letting them know that their travel preparations are complete.

[0061] (Example 1)

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

[0063] Traditional travel planning and booking systems required users to manually search for a lot of information and book multiple services individually, which was time-consuming and laborious. Furthermore, it was difficult to achieve both an optimal schedule and cost-effectiveness simultaneously, leading to decreased user satisfaction.

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

[0065] In this invention, the server includes receiving means for obtaining travel preference information from the user, information processing means for activating an AI assistant using the generated prompts to generate an optimal travel plan, and cost optimization means for searching for services to book, taking into account special offers and discounts. This enables the user to efficiently and quickly plan their ideal trip and complete bookings with minimal effort.

[0066] "Receiving means" refers to a function for obtaining travel-related information from users.

[0067] "Transmission means" refers to a function for transferring the requested information from the receiving user to the server.

[0068] The "information processing means" refers to a function that activates an AI assistant based on the user's requested information and generates an optimal travel plan.

[0069] "Cost optimization measures" refer to a function that maximizes cost-effectiveness by searching for services to book, taking into account special offers and discount information.

[0070] "Display means" refers to a function that presents the generated travel plan to the user on the terminal and assists the user in the booking process.

[0071] "Verification means" refers to a function that records the user's completed reservation information on the server to confirm that the travel plan has been successfully executed.

[0072] A "generative AI model" is an artificial intelligence technology used to optimize travel plans.

[0073] A "prompt statement" is a sentence used to give appropriate instructions to a generative AI model.

[0074] This invention is a system that automates and efficiently handles travel planning and booking. This system utilizes a generative AI model to reduce the user's burden and propose an ideal travel plan. The user inputs their travel preferences via a terminal. After acquisition, the input information is transmitted to a server for information processing.

[0075] The server uses a generative AI model to generate the optimal travel plan based on the received data. This process involves referencing a destination database to collect information on attractions, accommodations, and transportation. It also utilizes past traveler ratings and reviews to improve the accuracy and satisfaction of the plan.

[0076] Once the travel plan is created, the server initiates further cost optimization processes. These processes identify services to book, taking into account special offers and discounts. This allows the server to suggest cost-effective options within the user's budget.

[0077] The terminal displays a travel plan sent from the server to the user. The user can review this and make a reservation using the provided link. Once the user completes the reservation process, the terminal sends the final reservation information back to the server, ensuring that the plan is carried out correctly.

[0078] For example, if a user enters a prompt such as, "I would like to stay in Paris, France for 5 days, with a budget of 200,000 yen, and I would like to visit tourist attractions and museums," the server will use AI to suggest the optimal travel plan based on this information. This allows users to create detailed and efficient travel plans in a short amount of time.

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

[0080] Step 1:

[0081] The user enters their travel preferences into the terminal's interface. This information includes destination, budget, number of people, age, and desired activities. The terminal receives this data as input and converts the user's preferences into the appropriate data format.

[0082] Step 2:

[0083] The device sends formatted desired information to the server. The transmitted data becomes input, and the server generates a prompt based on it. Then, it prepares to launch the AI ​​assistant using the generated AI model.

[0084] Step 3:

[0085] The server inputs the generated prompts into the AI ​​model and activates the AI ​​assistant. The AI ​​assistant generates a travel plan based on the requested information. This involves collecting information on attractions, accommodations, and transportation from a destination database and selecting the best plan based on the input data. The travel plan is then generated as output.

[0086] Step 4:

[0087] The server uses the generated travel plan to search for services to book, taking into account special offers and discounts. Using cost optimization techniques, it narrows down the options to fit the user's budget and creates a list of available bookings. This results in the following output.

[0088] Step 5:

[0089] The server sends a list of available bookings to the terminal and provides output. The terminal displays the received information to the user and presents a travel plan. The user reviews this and proceeds with the booking through the details confirmation and booking links.

[0090] Step 6:

[0091] Once the user completes the final booking, the terminal sends the completed booking information back to the server. The server verifies this input and ensures that the travel plan is feasible. The final output is the verified booking information.

[0092] (Application Example 1)

[0093] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0094] This solution addresses the significant burden that travel planning, booking, and payment procedures often place on users due to their complexity. In particular, the wide variety of payment methods and discount options makes it difficult to choose the optimal option, potentially leading to increased travel costs and reduced convenience. The challenge lies in enabling users to have an efficient and satisfying travel experience in this context.

[0095] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0096] In this invention, the server includes terminal means for receiving travel preference information from the user, data processing means for collecting destination data and generating an optimal travel plan based on the preference information, arrangement means for automatically making reservations for associated services based on the generated travel plan, and payment suggestion means for receiving payment information related to the travel plan and suggesting the optimal payment method and discounts. This allows the user to plan a trip easily and efficiently, and to reduce travel costs by selecting the optimal payment method, while also enabling smooth booking and payment.

[0097] "Terminal means" refers to devices or interfaces that receive travel-related information from users.

[0098] A "data processing system" is a mechanism that collects destination data based on the entered desired information and processes it to generate the optimal travel plan.

[0099] A "booking system" refers to a system that has the function of automatically booking related services based on the generated travel plan.

[0100] A "payment suggestion system" is a mechanism that receives payment information related to travel plans and suggests the most suitable payment method and discount options to the user.

[0101] This system uses terminals, servers, and AI models to integrate the processing of travel planning, booking, and payment suggestions. The terminals provide an interface to receive travel preferences from users and send this information to the server. The server utilizes databases and AI models to process the information, collect destination data, and generate optimal travel plans.

[0102] In data processing, plans are optimized based on ratings and reviews from past travelers. After generating a plan, the server suggests relevant payment methods and discounts through payment suggestion mechanisms. For payment processing, specific service provider APIs (e.g., Stripe API) are used, and AWS® SageMaker is used for selecting payment methods.

[0103] For example, if a user enters "I want to travel to Paris, France," the device sends desired information such as destination, duration, and budget to the server. The server uses an AI model to suggest optimal places to visit and accommodations, and also presents payment methods that qualify for discounts. At this point, prompting the AI ​​model with "Please suggest the best payment method and discounts based on my travel plan" enables it to provide optimal suggestions.

[0104] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0105] Step 1:

[0106] The terminal receives travel-related information from the user, formats that information, and sends it to the server. The data entered by the user includes destination, length of stay, budget, and number of participants, and this information is converted into JSON format.

[0107] Step 2:

[0108] The server analyzes the received request information and uses an AI model to generate the optimal travel plan. Based on the input request information, it searches the database for tourist information, accommodation information, and transportation information related to the destination, and uses the AI ​​model to refer to past ratings and reviews. At this point, the prompt "Optimize and propose a travel plan" is entered into the generating AI model, and an optimized travel plan is obtained as output.

[0109] Step 3:

[0110] The server uses the generated travel plan to make booking requests to appropriate service providers and simultaneously proposes payment methods using payment suggestion tools. After selecting services related to the travel plan, the payment method is optimized, and suitable payment options and discount information are calculated using the Stripe API. Booking information and payment suggestions are generated as output and sent back to the user's device.

[0111] Step 4:

[0112] The terminal presents the user with a travel plan and payment proposal received from the server, and the user makes a final confirmation. If the user accepts and selects the proposal, the final booking and payment are confirmed. At this point, a provisional payment is processed using the selected payment method.

[0113] Step 5:

[0114] After the user completes their selection, the device returns the completed booking information to the server to verify that the travel plan is executed successfully. During this process, a booking confirmation and payment receipt are generated and provided to the user.

[0115] 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.

[0116] This invention relates to a travel planning and booking system that incorporates an emotion engine to highly personalize the user's travel experience. This system takes user travel preferences as input, evaluates the user's emotions using emotion recognition technology, and reflects the evaluation results in the travel plan. Specifically, the terminal provides a screen for the user to input preferences and transmits the user's input to a server.

[0117] The server not only analyzes the received request information but also uses an emotion engine to recognize the user's emotions. The emotion engine evaluates the emotional state based on, for example, text data obtained from the user's input and past history. This evaluation result is passed to an AI assistant that generates travel plans. The AI ​​assistant uses the emotional data to select destinations and activities that are appropriate for the user's emotional state.

[0118] The server also references a database of destinations to identify tourist attractions and accommodations that match the user's preferences. In addition, it consults past ratings and reviews to make travel planning options more specific and optimal. The server also considers discount and special offer information to construct the final travel plan.

[0119] The generated travel plan is presented to the user via the terminal and suggested as a booking option. The user can review the presented plan and proceed to the detailed booking process using the booking link on the terminal. The server handles the final booking process in conjunction with an external booking system and sends a completion notification to the terminal.

[0120] As a concrete example, suppose a user inputs that they "want a weekend trip to relax" and "are interested in relaxing by the sea." Based on this preference, the emotion engine recognizes the user's desired state of relaxation and suggests a seaside resort as a suitable destination. It also offers special perks such as booking spa or massage appointments. In this way, by utilizing the emotion engine, it is possible to create detailed travel plans that reflect the user's emotional state.

[0121] The following describes the processing flow.

[0122] Step 1:

[0123] The device provides the user with an interface for entering travel preferences. The user enters and submits information including destination, budget, and desired activities.

[0124] Step 2:

[0125] The terminal receives user input information and sends it to the server. The server analyzes the data, verifies the information's integrity, and then activates the emotion engine.

[0126] Step 3:

[0127] The server uses an emotion engine to analyze user input. It evaluates the user's emotional state from text data and input patterns, and records the inferred emotion as data.

[0128] Step 4:

[0129] The server activates the AI ​​assistant and instructs it to generate the optimal travel plan based on the user's preferences and emotional data. The AI ​​assistant gathers relevant information from a destination database and selects facilities and activities that match the user's emotions.

[0130] Step 5:

[0131] The server scrutinizes past reviews and user feedback to enhance the reliability of potential travel plans. It then cross-references this with sentiment data to further narrow down the options.

[0132] Step 6:

[0133] The server builds the final travel plan and searches for available services. It optimizes the plan by incorporating discount and special offer information.

[0134] Step 7:

[0135] The server sends the completed travel plan to the terminal. The terminal displays the travel plan to the user and prompts them to review and make selections.

[0136] Step 8:

[0137] The user reviews the presented plan and begins the booking process. The terminal assists with the detailed booking process via a booking link.

[0138] Step 9:

[0139] The server interacts with an external reservation system to execute the reservation and obtain confirmation of its completion. This information is then sent to the terminal to notify the user that the reservation is complete.

[0140] (Example 2)

[0141] 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".

[0142] While travel plans are generally formulated based on a large amount of information, providing highly personalized suggestions based on user emotions is difficult. Furthermore, efficiently processing the data required for optimizing travel plans and bookings, and providing the best possible plan for the user, is necessary, but current systems require a great deal of time and effort to achieve this. A system is needed to solve these problems.

[0143] 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.

[0144] In this invention, the server includes an information input means for receiving travel preference information from the user, a plan generation means for generating a travel plan based on the user's emotions using emotion recognition technology, and a reservation means for automatically making reservations for related services in cooperation with an external system based on the generated travel plan. This enables highly personalized and optimized travel plans that take the user's emotions into consideration, as well as faster reservation processing.

[0145] An "information input means" is an interface that allows users to provide the system with desired travel information.

[0146] An "information processing device" is a device that has the function of analyzing the user's desired information and emotional state and performing appropriate data processing.

[0147] The "plan generation means" is a device that uses emotion recognition technology to automatically generate travel plans based on the user's emotions.

[0148] A "presentation method" is a device that has the function of communicating the generated travel plan to the user and providing information for consideration and selection.

[0149] A "booking method" refers to a function that automatically books related services and facilities in conjunction with external systems based on the generated travel plan.

[0150] "Emotion recognition technology" is a technology that evaluates a user's emotional state based on their input data and past history, and recognizes the user's psychological state.

[0151] "External systems" refer to reservation management platforms or service providers located outside the system that are used in conjunction with the system to process various travel reservations.

[0152] "Personalization" means individually adjusting travel plans and suggestions based on the user's individual preferences and feelings.

[0153] This invention is a travel planning and booking system for personalizing travel experiences based on user emotions. The system allows users to input travel preferences via a terminal, and this information is processed on a server to provide a travel plan optimized to the user's needs.

[0154] The terminal provides the user with an interface to input information such as the purpose and interests of their trip, budget, and itinerary. This information is sent to the server using the HTTPS protocol. The server analyzes the received request information and evaluates the user's emotional state using sentiment recognition technology. This process utilizes natural language processing libraries (e.g., NLTK, spaCy) and machine learning models (e.g., TENSORFLOW®, PyTorch).

[0155] The evaluation results from emotion recognition technology are passed to an AI assistant. The AI ​​assistant uses a generative AI model to automatically generate a travel plan that suits the user's emotions. The plan generation process references destination databases, past evaluation information, and user reviews. Furthermore, the plan is optimized by considering special offers and discounts.

[0156] The generated travel plan is presented to the user via the device. The user can review the suggested plan and, if necessary, proceed with booking directly from the device via a booking link. The server integrates with an external booking system to confirm the booking and sends a completion notification to the device. A concrete example is generating a plan tailored to the user's preferences using a prompt such as, "Please suggest a relaxing travel destination."

[0157] This system enables the creation of travel plans tailored to each user's individual emotional state, resulting in an efficient and effective travel booking process. This allows users to enjoy a more satisfying travel experience.

[0158] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0159] Step 1:

[0160] The terminal provides an interface for users to input travel preferences. Specifically, it displays a screen where users can enter destination, duration, budget, and activities of interest using text boxes and checkboxes. The entered information is sent from the terminal to the server. This becomes the input data.

[0161] Step 2:

[0162] The server analyzes the travel preference information received from the terminal. Using a natural language processing library, it extracts keywords and phrases from the input text data. For example, preferences such as "I want to relax" or "I want to spend time on the beach" are extracted. This analysis result becomes the input data for the next processing step.

[0163] Step 3:

[0164] The server uses emotion recognition technology to evaluate the user's emotional state. Based on the analysis results, a machine learning model is used to estimate the emotional state. This is categorized into emotional categories such as positive, negative, and relaxed. This emotional data becomes the input for generating the next plan.

[0165] Step 4:

[0166] The server uses AI assistant functionality to generate travel plans based on the user's emotional state. Using a generation AI model, it suggests the most suitable destinations and activities for the user. Past reviews and user feedback are also referenced to narrow down the options. The generated travel plan is the output of this step.

[0167] Step 5:

[0168] The server considers discount and perk information when generating travel plans, creating an optimized plan. It retrieves this information from the database and reconstructs the plan, including applicable perks. The final plan becomes the output data for this step.

[0169] Step 6:

[0170] The device receives the final travel plan from the server and presents it to the user. It includes a link to proceed with the booking process for the plan the user has selected. Clicking this link is designed to take the user to the booking details page.

[0171] Step 7:

[0172] The server connects with an external booking system based on the travel plan selected by the user and completes the booking process. Upon successful booking, a completion notification is sent to the user's device and displayed. This notification allows the user to confirm that their travel preparations are finalized.

[0173] (Application Example 2)

[0174] 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".

[0175] Traditional travel planning systems struggled to propose personalized travel plans that took into account the user's emotional state. Furthermore, the lack of visually engaging experiences in destination selection and activity suggestions resulted in low user satisfaction. Additionally, the booking process required optimal adjustments that took discounts and benefits into account.

[0176] 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.

[0177] In this invention, the server includes an acquisition means for receiving travel preference information from the user, an emotion analysis means for evaluating emotions based on the preference information, a plan generation means for collecting destination information and generating an optimal travel plan based on the evaluation, a virtual reality provision means for making the generated travel plan visually experienceable, and a reservation means for automatically making reservations for associated services based on the generated travel plan. This makes it possible to provide a personalized travel plan that takes the user's emotions into consideration and to enhance the specificity and appeal of the travel plan through a visual experience. Furthermore, by making adjustments that take into account discounts and benefits during the reservation process, convenience for the user is improved.

[0178] "Means of acquisition" refers to the means by which we receive travel-related information from users.

[0179] An "emotion analysis tool" is a means of evaluating a user's emotions based on information entered by the user.

[0180] A "plan generation method" is a means of collecting destination information based on the results of sentiment analysis and generating an optimal travel plan.

[0181] A "virtual reality delivery method" is a means of making a generated travel plan visually achievable.

[0182] A "booking method" is a means of automatically making reservations for associated services based on a generated travel plan.

[0183] The system for realizing this invention mainly consists of cooperation between a server and a user terminal. The user inputs travel-related information using a terminal such as a smartphone. The terminal sends this information to the server.

[0184] The server uses sentiment analysis tools to evaluate the user's emotional state based on their input information. This analysis utilizes a sentiment evaluation API based on text data and past travel history. Based on these evaluation results, the server uses a plan generation tool to collect destination information and generate an optimal travel plan. A generative AI model can be used for plan generation.

[0185] Furthermore, the generated travel plan is presented to the user via a virtual reality delivery system. This allows the user to visually experience the suggested destinations and accommodations using a VR device. The terminal reviews the plans the user is interested in and automatically makes reservations for related services using a reservation system. During the reservation process, discounts and benefits are taken into consideration to provide the best possible conditions.

[0186] For example, if a user enters their desired destination as "a place to enjoy nature" on their smartphone, the server analyzes that emotion as relaxation and suggests a tourist destination rich in nature. The user can then enjoy the scenery of that location in VR before making a reservation.

[0187] An example of a prompt message is, "If the user desires a relaxing trip, suggest appropriate destinations and activities." In this way, the system can provide a personalized travel experience that takes the user's emotions and preferences into account.

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

[0189] Step 1:

[0190] The user uses a terminal to input travel preferences. This input is stored on the terminal as text or audio data. After the user's preferences are entered, the terminal sends them to the server. The output of the input information is in digital format, either text or audio.

[0191] Step 2:

[0192] The server processes the received request information using sentiment analysis tools. These tools analyze text or audio data to evaluate the user's emotional state. This analysis utilizes natural language processing (NLP) techniques to analyze the meaning and tone of the text. The input is text or audio data of the request information, and the output is data representing the evaluated emotional state.

[0193] Step 3:

[0194] The server operates a plan generation system based on the results of sentiment analysis to select candidate destinations and activities. This process searches a destination database and uses a generative AI model to create the optimal plan for the user. The input is emotional state data, and the output is a travel plan template.

[0195] Step 4:

[0196] After the travel plan is generated, the server sends the results to the terminal via a virtual reality delivery system. The terminal then uses a VR device to allow the user to visually experience the suggested travel destinations and activities. The input is the travel plan template, and the output is the display of VR content.

[0197] Step 5:

[0198] If the user is satisfied with the visualized travel plan, they make a selection on the device to confirm the booking. Based on the user's selection, the device sends the booking information to the server. The input is the travel plan selected by the user, and the output is the instruction to execute the booking.

[0199] Step 6:

[0200] The server operates the reservation system based on the received reservation information, automatically making reservations for related services in conjunction with an external system. Discounts and benefits are taken into consideration during the reservation process. The input to this process is a reservation execution instruction, and the output is confirmation information that the reservation has been completed.

[0201] Step 7:

[0202] Once the reservation is complete, the server sends a reservation confirmation notification to the device, allowing the user to confirm their travel plans on the device. The input is the reservation confirmation information, and the output is the notification to the user.

[0203] 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.

[0204] 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 those described above. 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 shown 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.

[0205] 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.

[0206] [Second Embodiment]

[0207] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0208] 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.

[0209] 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).

[0210] 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.

[0211] 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.

[0212] 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).

[0213] 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.

[0214] 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.

[0215] 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.

[0216] 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.

[0217] 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.

[0218] 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".

[0219] This invention is a system for automatically and efficiently planning and booking travel, aiming to reduce the burden on users. The system provides an interface that allows users to easily input their travel preferences, and based on the input data, generates an optimal travel plan for the destination. It then utilizes AI to refer to past reviews and user feedback to suggest the best plan. Furthermore, it automates booking for associated services while considering special offers and discounts. The program processing of this system is described below.

[0220] First, the device receives travel preferences from the user. This information includes destination, budget, number of people, age, and desired activities. The user enters this information in a form and submits it. The device receives the input data and sends it to the server.

[0221] The server activates the AI ​​assistant based on the received data. The AI ​​assistant generates the optimal travel plan from the entered conditions. This includes gathering information on attractions, accommodations, and transportation from a destination database. The AI ​​also uses ratings and reviews provided by past travelers to narrow down and optimize the options.

[0222] After the AI ​​assistant generates a travel plan, the server automatically searches for services to book. During this process, it prioritizes special offers and discounts to optimize costs. It then creates a list of available services and facilities and sends it to the device.

[0223] The terminal presents the user with an optimized travel plan provided by the server. The user can review the travel plan and use the provided booking link to make further details and finalize the booking. Once the user has made their selections, the terminal returns the completed booking information to the server to ensure that the travel plan is executed correctly.

[0224] As a concrete example, suppose a user inputs, "I want to stay in Paris, France for 5 days, with a budget of 200,000 yen, and enjoy sightseeing and visiting museums." Based on these preferences, the server uses AI to research Parisian tourist attractions, suitable hotels, and transportation options, and generates a highly-rated schedule. Furthermore, the AI ​​suggests discounted airfare and museum tickets with perks, providing a satisfying travel plan within the budget. In this way, users can quickly put together a detailed and actionable travel plan.

[0225] The following describes the processing flow.

[0226] Step 1:

[0227] The device displays a screen for the user to enter travel preferences. The user enters information such as desired destination, budget, number of people, age, and desired activities, and then presses the submit button.

[0228] Step 2:

[0229] The terminal receives user input information and sends it to the server. The server analyzes the received information and verifies the data's integrity.

[0230] Step 3:

[0231] The server activates the AI ​​assistant and instructs it to generate the optimal travel plan based on the entered preferences. The AI ​​assistant searches a database of destinations and gathers information on attractions, accommodations, and transportation.

[0232] Step 4:

[0233] The server analyzes past traveler ratings and reviews through an AI assistant. Based on this information, it narrows down the options and creates the optimal travel plan.

[0234] Step 5:

[0235] The server automatically searches for available services based on plans generated by AI. It then optimizes reservations by utilizing booking methods and taking into account special offers and discounts.

[0236] Step 6:

[0237] The server sends an optimized travel plan and booking information to the terminal. The terminal displays the detailed travel plan to the user and asks for confirmation.

[0238] Step 7:

[0239] The user reviews the presented travel plan and completes the booking by clicking the provided link. The device then resends the completed booking information to the server.

[0240] Step 8:

[0241] The server confirms the user's booking is complete, compiles all the information, and sends a final confirmation notification to the terminal. The terminal displays the booking completion notification to the user, letting them know that their travel preparations are complete.

[0242] (Example 1)

[0243] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0244] Traditional travel planning and booking systems required users to manually search for a lot of information and book multiple services individually, which was time-consuming and laborious. Furthermore, it was difficult to achieve both an optimal schedule and cost-effectiveness simultaneously, leading to decreased user satisfaction.

[0245] 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.

[0246] In this invention, the server includes receiving means for obtaining travel preference information from the user, information processing means for activating an AI assistant using the generated prompts to generate an optimal travel plan, and cost optimization means for searching for services to book, taking into account special offers and discounts. This enables the user to efficiently and quickly plan their ideal trip and complete bookings with minimal effort.

[0247] "Receiving means" refers to a function for obtaining travel-related information from users.

[0248] "Transmission means" refers to a function for transferring the requested information from the receiving user to the server.

[0249] The "information processing means" refers to a function that activates an AI assistant based on the user's requested information and generates an optimal travel plan.

[0250] "Cost optimization measures" refer to a function that maximizes cost-effectiveness by searching for services to book, taking into account special offers and discount information.

[0251] "Display means" refers to a function that presents the generated travel plan to the user on the terminal and assists the user in the booking process.

[0252] "Verification means" refers to a function that records the user's completed reservation information on the server to confirm that the travel plan has been successfully executed.

[0253] A "generative AI model" is an artificial intelligence technology used to optimize travel plans.

[0254] A "prompt statement" is a sentence used to give appropriate instructions to a generative AI model.

[0255] This invention is a system that automates and efficiently handles travel planning and booking. This system utilizes a generative AI model to reduce the user's burden and propose an ideal travel plan. The user inputs their travel preferences via a terminal. After acquisition, the input information is transmitted to a server for information processing.

[0256] The server uses a generative AI model to generate the optimal travel plan based on the received data. This process involves referencing a destination database to collect information on attractions, accommodations, and transportation. It also utilizes past traveler ratings and reviews to improve the accuracy and satisfaction of the plan.

[0257] Once the travel plan is created, the server initiates further cost optimization processes. These processes identify services to book, taking into account special offers and discounts. This allows the server to suggest cost-effective options within the user's budget.

[0258] The terminal displays a travel plan sent from the server to the user. The user can review this and make a reservation using the provided link. Once the user completes the reservation process, the terminal sends the final reservation information back to the server, ensuring that the plan is carried out correctly.

[0259] For example, if a user enters a prompt such as, "I would like to stay in Paris, France for 5 days, with a budget of 200,000 yen, and I would like to visit tourist attractions and museums," the server will use AI to suggest the optimal travel plan based on this information. This allows users to create detailed and efficient travel plans in a short amount of time.

[0260] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0261] Step 1:

[0262] The user enters their travel preferences into the terminal's interface. This information includes destination, budget, number of people, age, and desired activities. The terminal receives this data as input and converts the user's preferences into the appropriate data format.

[0263] Step 2:

[0264] The device sends formatted desired information to the server. The transmitted data becomes input, and the server generates a prompt based on it. Then, it prepares to launch the AI ​​assistant using the generated AI model.

[0265] Step 3:

[0266] The server inputs the generated prompts into the AI ​​model and activates the AI ​​assistant. The AI ​​assistant generates a travel plan based on the requested information. This involves collecting information on attractions, accommodations, and transportation from a destination database and selecting the best plan based on the input data. The travel plan is then generated as output.

[0267] Step 4:

[0268] The server uses the generated travel plan to search for services to book, taking into account special offers and discounts. Using cost optimization techniques, it narrows down the options to fit the user's budget and creates a list of available bookings. This results in the following output.

[0269] Step 5:

[0270] The server sends a list of available bookings to the terminal and provides output. The terminal displays the received information to the user and presents a travel plan. The user reviews this and proceeds with the booking through the details confirmation and booking links.

[0271] Step 6:

[0272] Once the user completes the final booking, the terminal sends the completed booking information back to the server. The server verifies this input and ensures that the travel plan is feasible. The final output is the verified booking information.

[0273] (Application Example 1)

[0274] 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."

[0275] This solution addresses the significant burden that travel planning, booking, and payment procedures often place on users due to their complexity. In particular, the wide variety of payment methods and discount options makes it difficult to choose the optimal option, potentially leading to increased travel costs and reduced convenience. The challenge lies in enabling users to have an efficient and satisfying travel experience in this context.

[0276] 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.

[0277] In this invention, the server includes terminal means for receiving travel preference information from the user, data processing means for collecting destination data and generating an optimal travel plan based on the preference information, arrangement means for automatically making reservations for associated services based on the generated travel plan, and payment suggestion means for receiving payment information related to the travel plan and suggesting the optimal payment method and discounts. This allows the user to plan a trip easily and efficiently, and to reduce travel costs by selecting the optimal payment method, while also enabling smooth booking and payment.

[0278] "Terminal means" refers to devices or interfaces that receive travel-related information from users.

[0279] A "data processing system" is a mechanism that collects destination data based on the entered desired information and processes it to generate the optimal travel plan.

[0280] A "booking system" refers to a system that has the function of automatically booking related services based on the generated travel plan.

[0281] A "payment suggestion system" is a mechanism that receives payment information related to travel plans and suggests the most suitable payment method and discount options to the user.

[0282] In this system, terminals, servers, and AI models are used to integrally process travel plans, their reservations, and payment proposals. The terminal provides an interface to receive travel-related desired information from the user and sends the information to the server. The server utilizes a database and an AI model when processing the information, collects data on the destination, and generates an optimal travel plan.

[0283] In data processing, the plan is optimized based on evaluation information and word-of-mouth from past travelers. After generating the plan, the server makes proposals on relevant payment methods and discounts through the payment proposal means. At this time, for payment processing, the API of a specific service provider (e.g., Stripe API) is used, and AWS Sagemaker is used for selecting the payment method.

[0284] As a specific example, when the user inputs "want to travel to Paris, France", the terminal sends the destination, period, budget, etc. as desired information to the server. The server uses the AI model to propose optimal visiting places and accommodation facilities, and further presents payment methods to which discounts are applied. At this time, by sending the prompt sentence "Please propose an optimal payment method and discount based on the travel plan" to the AI model for generating the prompt, an optimal proposal becomes possible.

[0285] The flow of the specific process in Application Example 1 will be described using FIG. 12.

[0286] Step 1:

[0287] The terminal receives travel-related desired information from the user, formats the information, and sends it to the server. Here, the data input by the user is the destination, stay period, budget, number of participants, etc., and these information are converted into JSON format.

[0288] Step 2:

[0289] The server analyzes the received request information and uses an AI model to generate the optimal travel plan. Based on the input request information, it searches the database for tourist information, accommodation information, and transportation information related to the destination, and uses the AI ​​model to refer to past ratings and reviews. At this point, the prompt "Optimize and propose a travel plan" is entered into the generating AI model, and an optimized travel plan is obtained as output.

[0290] Step 3:

[0291] The server uses the generated travel plan to make booking requests to appropriate service providers and simultaneously proposes payment methods using payment suggestion tools. After selecting services related to the travel plan, the payment method is optimized, and suitable payment options and discount information are calculated using the Stripe API. Booking information and payment suggestions are generated as output and sent back to the user's device.

[0292] Step 4:

[0293] The terminal presents the user with a travel plan and payment proposal received from the server, and the user makes a final confirmation. If the user accepts and selects the proposal, the final booking and payment are confirmed. At this point, a provisional payment is processed using the selected payment method.

[0294] Step 5:

[0295] After the user completes their selection, the device returns the completed booking information to the server to verify that the travel plan is executed successfully. During this process, a booking confirmation and payment receipt are generated and provided to the user.

[0296] 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.

[0297] This invention relates to a travel planning and booking system that incorporates an emotion engine to highly personalize the user's travel experience. This system takes user travel preferences as input, evaluates the user's emotions using emotion recognition technology, and reflects the evaluation results in the travel plan. Specifically, the terminal provides a screen for the user to input preferences and transmits the user's input to a server.

[0298] The server not only analyzes the received request information but also uses an emotion engine to recognize the user's emotions. The emotion engine evaluates the emotional state based on, for example, text data obtained from the user's input and past history. This evaluation result is passed to an AI assistant that generates travel plans. The AI ​​assistant uses the emotional data to select destinations and activities that are appropriate for the user's emotional state.

[0299] The server also references a database of destinations to identify tourist attractions and accommodations that match the user's preferences. In addition, it consults past ratings and reviews to make travel planning options more specific and optimal. The server also considers discount and special offer information to construct the final travel plan.

[0300] The generated travel plan is presented to the user via the terminal and suggested as a booking option. The user can review the presented plan and proceed to the detailed booking process using the booking link on the terminal. The server handles the final booking process in conjunction with an external booking system and sends a completion notification to the terminal.

[0301] As a concrete example, suppose a user inputs that they "want a weekend trip to relax" and "are interested in relaxing by the sea." Based on this preference, the emotion engine recognizes the user's desired state of relaxation and suggests a seaside resort as a suitable destination. It also offers special perks such as booking spa or massage appointments. In this way, by utilizing the emotion engine, it is possible to create detailed travel plans that reflect the user's emotional state.

[0302] The processing flow will be described below.

[0303] Step 1:

[0304] The terminal provides an interface for the user to input desired information regarding the trip. The user inputs and transmits information including the destination, budget, desired activities, etc.

[0305] Step 2:

[0306] The terminal receives the user's input information and transmits it to the server. After the server analyzes the data and confirms the integrity of the information, it activates the emotion engine.

[0307] Step 3:

[0308] The server analyzes the user's input information using the emotion engine. It evaluates the user's emotional state from the text data and input patterns, and records the inferred emotion as data.

[0309] Step 4:

[0310] The server activates the AI assistant and instructs it to generate an optimal travel plan based on the user's desired information and emotion data. The AI assistant collects relevant information from the destination database and selects facilities and activities according to the emotion.

[0311] Step 5:

[0312] The server reviews past evaluation information and word-of-mouth information to enhance the reliability of the candidate travel plans. In light of the emotion data, it further narrows down the options.

[0313] Step 6:

[0314] The server builds the final travel plan and searches for available services. It optimizes the plan by incorporating discount and special offer information.

[0315] Step 7:

[0316] The server sends the completed travel plan to the terminal. The terminal displays the travel plan to the user and prompts them to review and make selections.

[0317] Step 8:

[0318] The user reviews the presented plan and begins the booking process. The terminal assists with the detailed booking process via a booking link.

[0319] Step 9:

[0320] The server interacts with an external reservation system to execute the reservation and obtain confirmation of its completion. This information is then sent to the terminal to notify the user that the reservation is complete.

[0321] (Example 2)

[0322] 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".

[0323] While travel plans are generally formulated based on a large amount of information, providing highly personalized suggestions based on user emotions is difficult. Furthermore, efficiently processing the data required for optimizing travel plans and bookings, and providing the best possible plan for the user, is necessary, but current systems require a great deal of time and effort to achieve this. A system is needed to solve these problems.

[0324] 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.

[0325] In this invention, the server includes an information input means for receiving travel preference information from the user, a plan generation means for generating a travel plan based on the user's emotions using emotion recognition technology, and a reservation means for automatically making reservations for related services in cooperation with an external system based on the generated travel plan. This enables highly personalized and optimized travel plans that take the user's emotions into consideration, as well as faster reservation processing.

[0326] An "information input means" is an interface that allows users to provide the system with desired travel information.

[0327] An "information processing device" is a device that has the function of analyzing the user's desired information and emotional state and performing appropriate data processing.

[0328] The "plan generation means" is a device that uses emotion recognition technology to automatically generate travel plans based on the user's emotions.

[0329] A "presentation method" is a device that has the function of communicating the generated travel plan to the user and providing information for consideration and selection.

[0330] A "booking method" refers to a function that automatically books related services and facilities in conjunction with external systems based on the generated travel plan.

[0331] "Emotion recognition technology" is a technology that evaluates a user's emotional state based on their input data and past history, and recognizes the user's psychological state.

[0332] "External systems" refer to reservation management platforms or service providers located outside the system that are used in conjunction with the system to process various travel reservations.

[0333] "Personalization" means individually adjusting travel plans and suggestions based on the user's individual preferences and feelings.

[0334] This invention is a travel planning and booking system for personalizing travel experiences based on user emotions. The system allows users to input travel preferences via a terminal, and this information is processed on a server to provide a travel plan optimized to the user's needs.

[0335] The terminal provides the user with an interface to input information such as travel purpose, interests, budget, and itinerary. This information is sent to the server using the HTTPS protocol. The server analyzes the received request information and evaluates the user's emotional state using sentiment recognition technology. This process utilizes natural language processing libraries (e.g., NLTK, spaCy) and machine learning models (e.g., TensorFlow, PyTorch).

[0336] The evaluation results from emotion recognition technology are passed to an AI assistant. The AI ​​assistant uses a generative AI model to automatically generate a travel plan that suits the user's emotions. The plan generation process references destination databases, past evaluation information, and user reviews. Furthermore, the plan is optimized by considering special offers and discounts.

[0337] The generated travel plan is presented to the user via the device. The user can review the suggested plan and, if necessary, proceed with booking directly from the device via a booking link. The server integrates with an external booking system to confirm the booking and sends a completion notification to the device. A concrete example is generating a plan tailored to the user's preferences using a prompt such as, "Please suggest a relaxing travel destination."

[0338] This system enables the creation of travel plans tailored to each user's individual emotional state, resulting in an efficient and effective travel booking process. This allows users to enjoy a more satisfying travel experience.

[0339] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0340] Step 1:

[0341] The terminal provides an interface for users to input travel preferences. Specifically, it displays a screen where users can enter destination, duration, budget, and activities of interest using text boxes and checkboxes. The entered information is sent from the terminal to the server. This becomes the input data.

[0342] Step 2:

[0343] The server analyzes the travel preference information received from the terminal. Using a natural language processing library, it extracts keywords and phrases from the input text data. For example, preferences such as "I want to relax" or "I want to spend time on the beach" are extracted. This analysis result becomes the input data for the next processing step.

[0344] Step 3:

[0345] The server uses emotion recognition technology to evaluate the user's emotional state. Based on the analysis results, a machine learning model is used to estimate the emotional state. This is categorized into emotional categories such as positive, negative, and relaxed. This emotional data becomes the input for generating the next plan.

[0346] Step 4:

[0347] The server uses AI assistant functionality to generate travel plans based on the user's emotional state. Using a generation AI model, it suggests the most suitable destinations and activities for the user. Past reviews and user feedback are also referenced to narrow down the options. The generated travel plan is the output of this step.

[0348] Step 5:

[0349] The server considers discount and perk information when generating travel plans, creating an optimized plan. It retrieves this information from the database and reconstructs the plan, including applicable perks. The final plan becomes the output data for this step.

[0350] Step 6:

[0351] The device receives the final travel plan from the server and presents it to the user. It includes a link to proceed with the booking process for the plan the user has selected. Clicking this link is designed to take the user to the booking details page.

[0352] Step 7:

[0353] The server connects with an external booking system based on the travel plan selected by the user and completes the booking process. Upon successful booking, a completion notification is sent to the user's device and displayed. This notification allows the user to confirm that their travel preparations are finalized.

[0354] (Application Example 2)

[0355] 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."

[0356] Traditional travel planning systems struggled to propose personalized travel plans that took into account the user's emotional state. Furthermore, the lack of visually engaging experiences in destination selection and activity suggestions resulted in low user satisfaction. Additionally, the booking process required optimal adjustments that took discounts and benefits into account.

[0357] 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.

[0358] In this invention, the server includes an acquisition means for receiving travel preference information from the user, an emotion analysis means for evaluating emotions based on the preference information, a plan generation means for collecting destination information and generating an optimal travel plan based on the evaluation, a virtual reality provision means for making the generated travel plan visually experienceable, and a reservation means for automatically making reservations for associated services based on the generated travel plan. This makes it possible to provide a personalized travel plan that takes the user's emotions into consideration and to enhance the specificity and appeal of the travel plan through a visual experience. Furthermore, by making adjustments that take into account discounts and benefits during the reservation process, convenience for the user is improved.

[0359] "Means of acquisition" refers to the means by which we receive travel-related information from users.

[0360] An "emotion analysis tool" is a means of evaluating a user's emotions based on information entered by the user.

[0361] A "plan generation method" is a means of collecting destination information based on the results of sentiment analysis and generating an optimal travel plan.

[0362] A "virtual reality delivery method" is a means of making a generated travel plan visually achievable.

[0363] A "booking method" is a means of automatically making reservations for associated services based on a generated travel plan.

[0364] The system for realizing this invention mainly consists of cooperation between a server and a user terminal. The user inputs travel-related information using a terminal such as a smartphone. The terminal sends this information to the server.

[0365] The server uses sentiment analysis tools to evaluate the user's emotional state based on their input information. This analysis utilizes a sentiment evaluation API based on text data and past travel history. Based on these evaluation results, the server uses a plan generation tool to collect destination information and generate an optimal travel plan. A generative AI model can be used for plan generation.

[0366] Furthermore, the generated travel plan is presented to the user via a virtual reality delivery system. This allows the user to visually experience the suggested destinations and accommodations using a VR device. The terminal reviews the plans the user is interested in and automatically makes reservations for related services using a reservation system. During the reservation process, discounts and benefits are taken into consideration to provide the best possible conditions.

[0367] For example, if a user enters their desired destination as "a place to enjoy nature" on their smartphone, the server analyzes that emotion as relaxation and suggests a tourist destination rich in nature. The user can then enjoy the scenery of that location in VR before making a reservation.

[0368] An example of a prompt message is, "If the user desires a relaxing trip, suggest appropriate destinations and activities." In this way, the system can provide a personalized travel experience that takes the user's emotions and preferences into account.

[0369] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0370] Step 1:

[0371] The user uses a terminal to input travel preferences. This input is stored on the terminal as text or audio data. After the user's preferences are entered, the terminal sends them to the server. The output of the input information is in digital format, either text or audio.

[0372] Step 2:

[0373] The server processes the received request information using sentiment analysis tools. These tools analyze text or audio data to evaluate the user's emotional state. This analysis utilizes natural language processing (NLP) techniques to analyze the meaning and tone of the text. The input is text or audio data of the request information, and the output is data representing the evaluated emotional state.

[0374] Step 3:

[0375] The server operates a plan generation system based on the results of sentiment analysis to select candidate destinations and activities. This process searches a destination database and uses a generative AI model to create the optimal plan for the user. The input is emotional state data, and the output is a travel plan template.

[0376] Step 4:

[0377] After the travel plan is generated, the server sends the results to the terminal via a virtual reality delivery system. The terminal then uses a VR device to allow the user to visually experience the suggested travel destinations and activities. The input is the travel plan template, and the output is the display of VR content.

[0378] Step 5:

[0379] If the user is satisfied with the visualized travel plan, they make a selection on the device to confirm the booking. Based on the user's selection, the device sends the booking information to the server. The input is the travel plan selected by the user, and the output is the instruction to execute the booking.

[0380] Step 6:

[0381] The server operates the reservation system based on the received reservation information, automatically making reservations for related services in conjunction with an external system. Discounts and benefits are taken into consideration during the reservation process. The input to this process is a reservation execution instruction, and the output is confirmation information that the reservation has been completed.

[0382] Step 7:

[0383] Once the reservation is complete, the server sends a reservation confirmation notification to the device, allowing the user to confirm their travel plans on the device. The input is the reservation confirmation information, and the output is the notification to the user.

[0384] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0385] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include those described above. 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 shown by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0386] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0387] [Third Embodiment]

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

[0389] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0390] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0391] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0392] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0393] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0394] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0395] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0396] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0397] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0398] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0399] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0400] This invention is a system for automatically and efficiently planning and booking travel, aiming to reduce the burden on users. The system provides an interface that allows users to easily input their travel preferences, and based on the input data, generates an optimal travel plan for the destination. It then utilizes AI to refer to past reviews and user feedback to suggest the best plan. Furthermore, it automates booking for associated services while considering special offers and discounts. The program processing of this system is described below.

[0401] First, the device receives travel preferences from the user. This information includes destination, budget, number of people, age, and desired activities. The user enters this information in a form and submits it. The device receives the input data and sends it to the server.

[0402] The server activates the AI ​​assistant based on the received data. The AI ​​assistant generates the optimal travel plan from the entered conditions. This includes gathering information on attractions, accommodations, and transportation from a destination database. The AI ​​also uses ratings and reviews provided by past travelers to narrow down and optimize the options.

[0403] After the AI ​​assistant generates a travel plan, the server automatically searches for services to book. During this process, it prioritizes special offers and discounts to optimize costs. It then creates a list of available services and facilities and sends it to the device.

[0404] The terminal presents the user with an optimized travel plan provided by the server. The user can review the travel plan and use the provided booking link to make further details and finalize the booking. Once the user has made their selections, the terminal returns the completed booking information to the server to ensure that the travel plan is executed correctly.

[0405] As a concrete example, suppose a user inputs, "I want to stay in Paris, France for 5 days, with a budget of 200,000 yen, and enjoy sightseeing and visiting museums." Based on these preferences, the server uses AI to research Parisian tourist attractions, suitable hotels, and transportation options, and generates a highly-rated schedule. Furthermore, the AI ​​suggests discounted airfare and museum tickets with perks, providing a satisfying travel plan within the budget. In this way, users can quickly put together a detailed and actionable travel plan.

[0406] The following describes the processing flow.

[0407] Step 1:

[0408] The device displays a screen for the user to enter travel preferences. The user enters information such as desired destination, budget, number of people, age, and desired activities, and then presses the submit button.

[0409] Step 2:

[0410] The terminal receives user input information and sends it to the server. The server analyzes the received information and verifies the data's integrity.

[0411] Step 3:

[0412] The server activates the AI ​​assistant and instructs it to generate the optimal travel plan based on the entered preferences. The AI ​​assistant searches a database of destinations and gathers information on attractions, accommodations, and transportation.

[0413] Step 4:

[0414] The server analyzes past traveler ratings and reviews through an AI assistant. Based on this information, it narrows down the options and creates the optimal travel plan.

[0415] Step 5:

[0416] The server automatically searches for available services based on plans generated by AI. It then optimizes reservations by utilizing booking methods and taking into account special offers and discounts.

[0417] Step 6:

[0418] The server sends an optimized travel plan and booking information to the terminal. The terminal displays the detailed travel plan to the user and asks for confirmation.

[0419] Step 7:

[0420] The user reviews the presented travel plan and completes the booking by clicking the provided link. The device then resends the completed booking information to the server.

[0421] Step 8:

[0422] The server confirms the user's booking is complete, compiles all the information, and sends a final confirmation notification to the terminal. The terminal displays the booking completion notification to the user, letting them know that their travel preparations are complete.

[0423] (Example 1)

[0424] 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."

[0425] Traditional travel planning and booking systems required users to manually search for a lot of information and book multiple services individually, which was time-consuming and laborious. Furthermore, it was difficult to achieve both an optimal schedule and cost-effectiveness simultaneously, leading to decreased user satisfaction.

[0426] 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.

[0427] In this invention, the server includes receiving means for obtaining travel preference information from the user, information processing means for activating an AI assistant using the generated prompts to generate an optimal travel plan, and cost optimization means for searching for services to book, taking into account special offers and discounts. This enables the user to efficiently and quickly plan their ideal trip and complete bookings with minimal effort.

[0428] "Receiving means" refers to a function for obtaining travel-related information from users.

[0429] "Transmission means" refers to a function for transferring the requested information from the receiving user to the server.

[0430] The "information processing means" refers to a function that activates an AI assistant based on the user's requested information and generates an optimal travel plan.

[0431] "Cost optimization measures" refer to a function that maximizes cost-effectiveness by searching for services to book, taking into account special offers and discount information.

[0432] "Display means" refers to a function that presents the generated travel plan to the user on the terminal and assists the user in the booking process.

[0433] "Verification means" refers to a function that records the user's completed reservation information on the server to confirm that the travel plan has been successfully executed.

[0434] A "generative AI model" is an artificial intelligence technology used to optimize travel plans.

[0435] A "prompt statement" is a sentence used to give appropriate instructions to a generative AI model.

[0436] This invention is a system that automates and efficiently handles travel planning and booking. This system utilizes a generative AI model to reduce the user's burden and propose an ideal travel plan. The user inputs their travel preferences via a terminal. After acquisition, the input information is transmitted to a server for information processing.

[0437] The server uses a generative AI model to generate the optimal travel plan based on the received data. This process involves referencing a destination database to collect information on attractions, accommodations, and transportation. It also utilizes past traveler ratings and reviews to improve the accuracy and satisfaction of the plan.

[0438] Once the travel plan is created, the server initiates further cost optimization processes. These processes identify services to book, taking into account special offers and discounts. This allows the server to suggest cost-effective options within the user's budget.

[0439] The terminal displays a travel plan sent from the server to the user. The user can review this and make a reservation using the provided link. Once the user completes the reservation process, the terminal sends the final reservation information back to the server, ensuring that the plan is carried out correctly.

[0440] For example, if a user enters a prompt such as, "I would like to stay in Paris, France for 5 days, with a budget of 200,000 yen, and I would like to visit tourist attractions and museums," the server will use AI to suggest the optimal travel plan based on this information. This allows users to create detailed and efficient travel plans in a short amount of time.

[0441] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0442] Step 1:

[0443] The user enters their travel preferences into the terminal's interface. This information includes destination, budget, number of people, age, and desired activities. The terminal receives this data as input and converts the user's preferences into the appropriate data format.

[0444] Step 2:

[0445] The device sends formatted desired information to the server. The transmitted data becomes input, and the server generates a prompt based on it. Then, it prepares to launch the AI ​​assistant using the generated AI model.

[0446] Step 3:

[0447] The server inputs the generated prompts into the AI ​​model and activates the AI ​​assistant. The AI ​​assistant generates a travel plan based on the requested information. This involves collecting information on attractions, accommodations, and transportation from a destination database and selecting the best plan based on the input data. The travel plan is then generated as output.

[0448] Step 4:

[0449] The server uses the generated travel plan to search for services to book, taking into account special offers and discounts. Using cost optimization techniques, it narrows down the options to fit the user's budget and creates a list of available bookings. This results in the following output.

[0450] Step 5:

[0451] The server sends a list of available bookings to the terminal and provides output. The terminal displays the received information to the user and presents a travel plan. The user reviews this and proceeds with the booking through the details confirmation and booking links.

[0452] Step 6:

[0453] Once the user completes the final booking, the terminal sends the completed booking information back to the server. The server verifies this input and ensures that the travel plan is feasible. The final output is the verified booking information.

[0454] (Application Example 1)

[0455] 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."

[0456] This solution addresses the significant burden that travel planning, booking, and payment procedures often place on users due to their complexity. In particular, the wide variety of payment methods and discount options makes it difficult to choose the optimal option, potentially leading to increased travel costs and reduced convenience. The challenge lies in enabling users to have an efficient and satisfying travel experience in this context.

[0457] 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.

[0458] In this invention, the server includes terminal means for receiving travel preference information from the user, data processing means for collecting destination data and generating an optimal travel plan based on the preference information, arrangement means for automatically making reservations for associated services based on the generated travel plan, and payment suggestion means for receiving payment information related to the travel plan and suggesting the optimal payment method and discounts. This allows the user to plan a trip easily and efficiently, and to reduce travel costs by selecting the optimal payment method, while also enabling smooth booking and payment.

[0459] "Terminal means" refers to devices or interfaces that receive travel-related information from users.

[0460] A "data processing system" is a mechanism that collects destination data based on the entered desired information and processes it to generate the optimal travel plan.

[0461] A "booking system" refers to a system that has the function of automatically booking related services based on the generated travel plan.

[0462] A "payment suggestion system" is a mechanism that receives payment information related to travel plans and suggests the most suitable payment method and discount options to the user.

[0463] This system uses terminals, servers, and AI models to integrate the processing of travel planning, booking, and payment suggestions. The terminals provide an interface to receive travel preferences from users and send this information to the server. The server utilizes databases and AI models to process the information, collect destination data, and generate optimal travel plans.

[0464] In data processing, plans are optimized based on ratings and reviews from past travelers. After generating a plan, the server suggests relevant payment methods and discounts through payment suggestion mechanisms. For payment processing, specific service provider APIs (e.g., Stripe API) are used, and AWS SageMaker is used for selecting payment methods.

[0465] For example, if a user enters "I want to travel to Paris, France," the device sends desired information such as destination, duration, and budget to the server. The server uses an AI model to suggest optimal places to visit and accommodations, and also presents payment methods that qualify for discounts. At this point, prompting the AI ​​model with "Please suggest the best payment method and discounts based on my travel plan" enables it to provide optimal suggestions.

[0466] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0467] Step 1:

[0468] The terminal receives travel-related information from the user, formats that information, and sends it to the server. The data entered by the user includes destination, length of stay, budget, and number of participants, and this information is converted into JSON format.

[0469] Step 2:

[0470] The server analyzes the received request information and uses an AI model to generate the optimal travel plan. Based on the input request information, it searches the database for tourist information, accommodation information, and transportation information related to the destination, and uses the AI ​​model to refer to past ratings and reviews. At this point, the prompt "Optimize and propose a travel plan" is entered into the generating AI model, and an optimized travel plan is obtained as output.

[0471] Step 3:

[0472] The server uses the generated travel plan to make booking requests to appropriate service providers and simultaneously proposes payment methods using payment suggestion tools. After selecting services related to the travel plan, the payment method is optimized, and suitable payment options and discount information are calculated using the Stripe API. Booking information and payment suggestions are generated as output and sent back to the user's device.

[0473] Step 4:

[0474] The terminal presents the user with a travel plan and payment proposal received from the server, and the user makes a final confirmation. If the user accepts and selects the proposal, the final booking and payment are confirmed. At this point, a provisional payment is processed using the selected payment method.

[0475] Step 5:

[0476] After the user completes their selection, the device returns the completed booking information to the server to verify that the travel plan is executed successfully. During this process, a booking confirmation and payment receipt are generated and provided to the user.

[0477] 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.

[0478] This invention relates to a travel planning and booking system that incorporates an emotion engine to highly personalize the user's travel experience. This system takes user travel preferences as input, evaluates the user's emotions using emotion recognition technology, and reflects the evaluation results in the travel plan. Specifically, the terminal provides a screen for the user to input preferences and transmits the user's input to a server.

[0479] The server not only analyzes the received request information but also uses an emotion engine to recognize the user's emotions. The emotion engine evaluates the emotional state based on, for example, text data obtained from the user's input and past history. This evaluation result is passed to an AI assistant that generates travel plans. The AI ​​assistant uses the emotional data to select destinations and activities that are appropriate for the user's emotional state.

[0480] The server also references a database of destinations to identify tourist attractions and accommodations that match the user's preferences. In addition, it consults past ratings and reviews to make travel planning options more specific and optimal. The server also considers discount and special offer information to construct the final travel plan.

[0481] The generated travel plan is presented to the user via the terminal and suggested as a booking option. The user can review the presented plan and proceed to the detailed booking process using the booking link on the terminal. The server handles the final booking process in conjunction with an external booking system and sends a completion notification to the terminal.

[0482] As a concrete example, suppose a user inputs that they "want a weekend trip to relax" and "are interested in relaxing by the sea." Based on this preference, the emotion engine recognizes the user's desired state of relaxation and suggests a seaside resort as a suitable destination. It also offers special perks such as booking spa or massage appointments. In this way, by utilizing the emotion engine, it is possible to create detailed travel plans that reflect the user's emotional state.

[0483] The following describes the processing flow.

[0484] Step 1:

[0485] The device provides the user with an interface for entering travel preferences. The user enters and submits information including destination, budget, and desired activities.

[0486] Step 2:

[0487] The terminal receives user input information and sends it to the server. The server analyzes the data, verifies the information's integrity, and then activates the emotion engine.

[0488] Step 3:

[0489] The server uses an emotion engine to analyze user input. It evaluates the user's emotional state from text data and input patterns, and records the inferred emotion as data.

[0490] Step 4:

[0491] The server activates the AI ​​assistant and instructs it to generate the optimal travel plan based on the user's preferences and emotional data. The AI ​​assistant gathers relevant information from a destination database and selects facilities and activities that match the user's emotions.

[0492] Step 5:

[0493] The server scrutinizes past reviews and user feedback to enhance the reliability of potential travel plans. It then cross-references this with sentiment data to further narrow down the options.

[0494] Step 6:

[0495] The server builds the final travel plan and searches for available services. It optimizes the plan by incorporating discount and special offer information.

[0496] Step 7:

[0497] The server sends the completed travel plan to the terminal. The terminal displays the travel plan to the user and prompts them to review and make selections.

[0498] Step 8:

[0499] The user reviews the presented plan and begins the booking process. The terminal assists with the detailed booking process via a booking link.

[0500] Step 9:

[0501] The server interacts with an external reservation system to execute the reservation and obtain confirmation of its completion. This information is then sent to the terminal to notify the user that the reservation is complete.

[0502] (Example 2)

[0503] 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."

[0504] While travel plans are generally formulated based on a large amount of information, providing highly personalized suggestions based on user emotions is difficult. Furthermore, efficiently processing the data required for optimizing travel plans and bookings, and providing the best possible plan for the user, is necessary, but current systems require a great deal of time and effort to achieve this. A system is needed to solve these problems.

[0505] 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.

[0506] In this invention, the server includes an information input means for receiving travel preference information from the user, a plan generation means for generating a travel plan based on the user's emotions using emotion recognition technology, and a reservation means for automatically making reservations for related services in cooperation with an external system based on the generated travel plan. This enables highly personalized and optimized travel plans that take the user's emotions into consideration, as well as faster reservation processing.

[0507] An "information input means" is an interface that allows users to provide the system with desired travel information.

[0508] An "information processing device" is a device that has the function of analyzing the user's desired information and emotional state and performing appropriate data processing.

[0509] The "plan generation means" is a device that uses emotion recognition technology to automatically generate travel plans based on the user's emotions.

[0510] A "presentation method" is a device that has the function of communicating the generated travel plan to the user and providing information for consideration and selection.

[0511] A "booking method" refers to a function that automatically books related services and facilities in conjunction with external systems based on the generated travel plan.

[0512] "Emotion recognition technology" is a technology that evaluates a user's emotional state based on their input data and past history, and recognizes the user's psychological state.

[0513] "External systems" refer to reservation management platforms or service providers located outside the system that are used in conjunction with the system to process various travel reservations.

[0514] "Personalization" means individually adjusting travel plans and suggestions based on the user's individual preferences and feelings.

[0515] This invention is a travel planning and booking system for personalizing travel experiences based on user emotions. The system allows users to input travel preferences via a terminal, and this information is processed on a server to provide a travel plan optimized to the user's needs.

[0516] The terminal provides the user with an interface to input information such as travel purpose, interests, budget, and itinerary. This information is sent to the server using the HTTPS protocol. The server analyzes the received request information and evaluates the user's emotional state using sentiment recognition technology. This process utilizes natural language processing libraries (e.g., NLTK, spaCy) and machine learning models (e.g., TensorFlow, PyTorch).

[0517] The evaluation results from emotion recognition technology are passed to an AI assistant. The AI ​​assistant uses a generative AI model to automatically generate a travel plan that suits the user's emotions. The plan generation process references destination databases, past evaluation information, and user reviews. Furthermore, the plan is optimized by considering special offers and discounts.

[0518] The generated travel plan is presented to the user via the device. The user can review the suggested plan and, if necessary, proceed with booking directly from the device via a booking link. The server integrates with an external booking system to confirm the booking and sends a completion notification to the device. A concrete example is generating a plan tailored to the user's preferences using a prompt such as, "Please suggest a relaxing travel destination."

[0519] This system enables the creation of travel plans tailored to each user's individual emotional state, resulting in an efficient and effective travel booking process. This allows users to enjoy a more satisfying travel experience.

[0520] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0521] Step 1:

[0522] The terminal provides an interface for users to input travel preferences. Specifically, it displays a screen where users can enter destination, duration, budget, and activities of interest using text boxes and checkboxes. The entered information is sent from the terminal to the server. This becomes the input data.

[0523] Step 2:

[0524] The server analyzes the travel preference information received from the terminal. Using a natural language processing library, it extracts keywords and phrases from the input text data. For example, preferences such as "I want to relax" or "I want to spend time on the beach" are extracted. This analysis result becomes the input data for the next processing step.

[0525] Step 3:

[0526] The server uses emotion recognition technology to evaluate the user's emotional state. Based on the analysis results, a machine learning model is used to estimate the emotional state. This is categorized into emotional categories such as positive, negative, and relaxed. This emotional data becomes the input for generating the next plan.

[0527] Step 4:

[0528] The server uses AI assistant functionality to generate travel plans based on the user's emotional state. Using a generation AI model, it suggests the most suitable destinations and activities for the user. Past reviews and user feedback are also referenced to narrow down the options. The generated travel plan is the output of this step.

[0529] Step 5:

[0530] The server considers discount and perk information when generating travel plans, creating an optimized plan. It retrieves this information from the database and reconstructs the plan, including applicable perks. The final plan becomes the output data for this step.

[0531] Step 6:

[0532] The device receives the final travel plan from the server and presents it to the user. It includes a link to proceed with the booking process for the plan the user has selected. Clicking this link is designed to take the user to the booking details page.

[0533] Step 7:

[0534] The server connects with an external booking system based on the travel plan selected by the user and completes the booking process. Upon successful booking, a completion notification is sent to the user's device and displayed. This notification allows the user to confirm that their travel preparations are finalized.

[0535] (Application Example 2)

[0536] 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."

[0537] Traditional travel planning systems struggled to propose personalized travel plans that took into account the user's emotional state. Furthermore, the lack of visually engaging experiences in destination selection and activity suggestions resulted in low user satisfaction. Additionally, the booking process required optimal adjustments that took discounts and benefits into account.

[0538] 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.

[0539] In this invention, the server includes an acquisition means for receiving travel preference information from the user, an emotion analysis means for evaluating emotions based on the preference information, a plan generation means for collecting destination information and generating an optimal travel plan based on the evaluation, a virtual reality provision means for making the generated travel plan visually experienceable, and a reservation means for automatically making reservations for associated services based on the generated travel plan. This makes it possible to provide a personalized travel plan that takes the user's emotions into consideration and to enhance the specificity and appeal of the travel plan through a visual experience. Furthermore, by making adjustments that take into account discounts and benefits during the reservation process, convenience for the user is improved.

[0540] "Means of acquisition" refers to the means by which we receive travel-related information from users.

[0541] An "emotion analysis tool" is a means of evaluating a user's emotions based on information entered by the user.

[0542] A "plan generation method" is a means of collecting destination information based on the results of sentiment analysis and generating an optimal travel plan.

[0543] A "virtual reality delivery method" is a means of making a generated travel plan visually achievable.

[0544] A "booking method" is a means of automatically making reservations for associated services based on a generated travel plan.

[0545] The system for realizing this invention mainly consists of cooperation between a server and a user terminal. The user inputs travel-related information using a terminal such as a smartphone. The terminal sends this information to the server.

[0546] The server uses sentiment analysis tools to evaluate the user's emotional state based on their input information. This analysis utilizes a sentiment evaluation API based on text data and past travel history. Based on these evaluation results, the server uses a plan generation tool to collect destination information and generate an optimal travel plan. A generative AI model can be used for plan generation.

[0547] Furthermore, the generated travel plan is presented to the user via a virtual reality delivery system. This allows the user to visually experience the suggested destinations and accommodations using a VR device. The terminal reviews the plans the user is interested in and automatically makes reservations for related services using a reservation system. During the reservation process, discounts and benefits are taken into consideration to provide the best possible conditions.

[0548] For example, if a user enters their desired destination as "a place to enjoy nature" on their smartphone, the server analyzes that emotion as relaxation and suggests a tourist destination rich in nature. The user can then enjoy the scenery of that location in VR before making a reservation.

[0549] An example of a prompt message is, "If the user desires a relaxing trip, suggest appropriate destinations and activities." In this way, the system can provide a personalized travel experience that takes the user's emotions and preferences into account.

[0550] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0551] Step 1:

[0552] The user uses a terminal to input travel preferences. This input is stored on the terminal as text or audio data. After the user's preferences are entered, the terminal sends them to the server. The output of the input information is in digital format, either text or audio.

[0553] Step 2:

[0554] The server processes the received request information using sentiment analysis tools. These tools analyze text or audio data to evaluate the user's emotional state. This analysis utilizes natural language processing (NLP) techniques to analyze the meaning and tone of the text. The input is text or audio data of the request information, and the output is data representing the evaluated emotional state.

[0555] Step 3:

[0556] The server operates a plan generation system based on the results of sentiment analysis to select candidate destinations and activities. This process searches a destination database and uses a generative AI model to create the optimal plan for the user. The input is emotional state data, and the output is a travel plan template.

[0557] Step 4:

[0558] After the travel plan is generated, the server sends the results to the terminal via a virtual reality delivery system. The terminal then uses a VR device to allow the user to visually experience the suggested travel destinations and activities. The input is the travel plan template, and the output is the display of VR content.

[0559] Step 5:

[0560] If the user is satisfied with the visualized travel plan, they make a selection on the device to confirm the booking. Based on the user's selection, the device sends the booking information to the server. The input is the travel plan selected by the user, and the output is the instruction to execute the booking.

[0561] Step 6:

[0562] The server operates the reservation system based on the received reservation information, automatically making reservations for related services in conjunction with an external system. Discounts and benefits are taken into consideration during the reservation process. The input to this process is a reservation execution instruction, and the output is confirmation information that the reservation has been completed.

[0563] Step 7:

[0564] Once the reservation is complete, the server sends a reservation confirmation notification to the device, allowing the user to confirm their travel plans on the device. The input is the reservation confirmation information, and the output is the notification to the user.

[0565] 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.

[0566] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include those described above. 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 shown 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.

[0567] 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.

[0568] [Fourth Embodiment]

[0569] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0570] 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.

[0571] 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).

[0572] 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.

[0573] 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.

[0574] 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).

[0575] 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.

[0576] 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.

[0577] 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.

[0578] 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.

[0579] 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.

[0580] 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.

[0581] 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".

[0582] This invention is a system for automatically and efficiently planning and booking travel, aiming to reduce the burden on users. The system provides an interface that allows users to easily input their travel preferences, and based on the input data, generates an optimal travel plan for the destination. It then utilizes AI to refer to past reviews and user feedback to suggest the best plan. Furthermore, it automates booking for associated services while considering special offers and discounts. The program processing of this system is described below.

[0583] First, the device receives travel preferences from the user. This information includes destination, budget, number of people, age, and desired activities. The user enters this information in a form and submits it. The device receives the input data and sends it to the server.

[0584] The server activates the AI ​​assistant based on the received data. The AI ​​assistant generates the optimal travel plan from the entered conditions. This includes gathering information on attractions, accommodations, and transportation from a destination database. The AI ​​also uses ratings and reviews provided by past travelers to narrow down and optimize the options.

[0585] After the AI ​​assistant generates a travel plan, the server automatically searches for services to book. During this process, it prioritizes special offers and discounts to optimize costs. It then creates a list of available services and facilities and sends it to the device.

[0586] The terminal presents the user with an optimized travel plan provided by the server. The user can review the travel plan and use the provided booking link to make further details and finalize the booking. Once the user has made their selections, the terminal returns the completed booking information to the server to ensure that the travel plan is executed correctly.

[0587] As a concrete example, suppose a user inputs, "I want to stay in Paris, France for 5 days, with a budget of 200,000 yen, and enjoy sightseeing and visiting museums." Based on these preferences, the server uses AI to research Parisian tourist attractions, suitable hotels, and transportation options, and generates a highly-rated schedule. Furthermore, the AI ​​suggests discounted airfare and museum tickets with perks, providing a satisfying travel plan within the budget. In this way, users can quickly put together a detailed and actionable travel plan.

[0588] The following describes the processing flow.

[0589] Step 1:

[0590] The device displays a screen for the user to enter travel preferences. The user enters information such as desired destination, budget, number of people, age, and desired activities, and then presses the submit button.

[0591] Step 2:

[0592] The terminal receives user input information and sends it to the server. The server analyzes the received information and verifies the data's integrity.

[0593] Step 3:

[0594] The server activates the AI ​​assistant and instructs it to generate the optimal travel plan based on the entered preferences. The AI ​​assistant searches a database of destinations and gathers information on attractions, accommodations, and transportation.

[0595] Step 4:

[0596] The server analyzes past traveler ratings and reviews through an AI assistant. Based on this information, it narrows down the options and creates the optimal travel plan.

[0597] Step 5:

[0598] The server automatically searches for available services based on plans generated by AI. It then optimizes reservations by utilizing booking methods and taking into account special offers and discounts.

[0599] Step 6:

[0600] The server sends an optimized travel plan and booking information to the terminal. The terminal displays the detailed travel plan to the user and asks for confirmation.

[0601] Step 7:

[0602] The user reviews the presented travel plan and completes the booking by clicking the provided link. The device then resends the completed booking information to the server.

[0603] Step 8:

[0604] The server confirms the user's booking is complete, compiles all the information, and sends a final confirmation notification to the terminal. The terminal displays the booking completion notification to the user, letting them know that their travel preparations are complete.

[0605] (Example 1)

[0606] 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".

[0607] Traditional travel planning and booking systems required users to manually search for a lot of information and book multiple services individually, which was time-consuming and laborious. Furthermore, it was difficult to achieve both an optimal schedule and cost-effectiveness simultaneously, leading to decreased user satisfaction.

[0608] 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.

[0609] In this invention, the server includes receiving means for obtaining travel preference information from the user, information processing means for activating an AI assistant using the generated prompts to generate an optimal travel plan, and cost optimization means for searching for services to book, taking into account special offers and discounts. This enables the user to efficiently and quickly plan their ideal trip and complete bookings with minimal effort.

[0610] "Receiving means" refers to a function for obtaining travel-related information from users.

[0611] "Transmission means" refers to a function for transferring the requested information from the receiving user to the server.

[0612] The "information processing means" refers to a function that activates an AI assistant based on the user's requested information and generates an optimal travel plan.

[0613] "Cost optimization measures" refer to a function that maximizes cost-effectiveness by searching for services to book, taking into account special offers and discount information.

[0614] "Display means" refers to a function that presents the generated travel plan to the user on the terminal and assists the user in the booking process.

[0615] "Verification means" refers to a function that records the user's completed reservation information on the server to confirm that the travel plan has been successfully executed.

[0616] A "generative AI model" is an artificial intelligence technology used to optimize travel plans.

[0617] A "prompt statement" is a sentence used to give appropriate instructions to a generative AI model.

[0618] This invention is a system that automates and efficiently handles travel planning and booking. This system utilizes a generative AI model to reduce the user's burden and propose an ideal travel plan. The user inputs their travel preferences via a terminal. After acquisition, the input information is transmitted to a server for information processing.

[0619] The server uses a generative AI model to generate the optimal travel plan based on the received data. This process involves referencing a destination database to collect information on attractions, accommodations, and transportation. It also utilizes past traveler ratings and reviews to improve the accuracy and satisfaction of the plan.

[0620] Once the travel plan is created, the server initiates further cost optimization processes. These processes identify services to book, taking into account special offers and discounts. This allows the server to suggest cost-effective options within the user's budget.

[0621] The terminal displays a travel plan sent from the server to the user. The user can review this and make a reservation using the provided link. Once the user completes the reservation process, the terminal sends the final reservation information back to the server, ensuring that the plan is carried out correctly.

[0622] For example, if a user enters a prompt such as, "I would like to stay in Paris, France for 5 days, with a budget of 200,000 yen, and I would like to visit tourist attractions and museums," the server will use AI to suggest the optimal travel plan based on this information. This allows users to create detailed and efficient travel plans in a short amount of time.

[0623] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0624] Step 1:

[0625] The user enters their travel preferences into the terminal's interface. This information includes destination, budget, number of people, age, and desired activities. The terminal receives this data as input and converts the user's preferences into the appropriate data format.

[0626] Step 2:

[0627] The device sends formatted desired information to the server. The transmitted data becomes input, and the server generates a prompt based on it. Then, it prepares to launch the AI ​​assistant using the generated AI model.

[0628] Step 3:

[0629] The server inputs the generated prompts into the AI ​​model and activates the AI ​​assistant. The AI ​​assistant generates a travel plan based on the requested information. This involves collecting information on attractions, accommodations, and transportation from a destination database and selecting the best plan based on the input data. The travel plan is then generated as output.

[0630] Step 4:

[0631] The server uses the generated travel plan to search for services to book, taking into account special offers and discounts. Using cost optimization techniques, it narrows down the options to fit the user's budget and creates a list of available bookings. This results in the following output.

[0632] Step 5:

[0633] The server sends a list of available bookings to the terminal and provides output. The terminal displays the received information to the user and presents a travel plan. The user reviews this and proceeds with the booking through the details confirmation and booking links.

[0634] Step 6:

[0635] Once the user completes the final booking, the terminal sends the completed booking information back to the server. The server verifies this input and ensures that the travel plan is feasible. The final output is the verified booking information.

[0636] (Application Example 1)

[0637] 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".

[0638] This solution addresses the significant burden that travel planning, booking, and payment procedures often place on users due to their complexity. In particular, the wide variety of payment methods and discount options makes it difficult to choose the optimal option, potentially leading to increased travel costs and reduced convenience. The challenge lies in enabling users to have an efficient and satisfying travel experience in this context.

[0639] 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.

[0640] In this invention, the server includes terminal means for receiving travel preference information from the user, data processing means for collecting destination data and generating an optimal travel plan based on the preference information, arrangement means for automatically making reservations for associated services based on the generated travel plan, and payment suggestion means for receiving payment information related to the travel plan and suggesting the optimal payment method and discounts. This allows the user to plan a trip easily and efficiently, and to reduce travel costs by selecting the optimal payment method, while also enabling smooth booking and payment.

[0641] "Terminal means" refers to devices or interfaces that receive travel-related information from users.

[0642] A "data processing system" is a mechanism that collects destination data based on the entered desired information and processes it to generate the optimal travel plan.

[0643] A "booking system" refers to a system that has the function of automatically booking related services based on the generated travel plan.

[0644] A "payment suggestion system" is a mechanism that receives payment information related to travel plans and suggests the most suitable payment method and discount options to the user.

[0645] This system uses terminals, servers, and AI models to integrate the processing of travel planning, booking, and payment suggestions. The terminals provide an interface to receive travel preferences from users and send this information to the server. The server utilizes databases and AI models to process the information, collect destination data, and generate optimal travel plans.

[0646] In data processing, plans are optimized based on ratings and reviews from past travelers. After generating a plan, the server suggests relevant payment methods and discounts through payment suggestion mechanisms. For payment processing, specific service provider APIs (e.g., Stripe API) are used, and AWS SageMaker is used for selecting payment methods.

[0647] For example, if a user enters "I want to travel to Paris, France," the device sends desired information such as destination, duration, and budget to the server. The server uses an AI model to suggest optimal places to visit and accommodations, and also presents payment methods that qualify for discounts. At this point, prompting the AI ​​model with "Please suggest the best payment method and discounts based on my travel plan" enables it to provide optimal suggestions.

[0648] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0649] Step 1:

[0650] The terminal receives travel-related information from the user, formats that information, and sends it to the server. The data entered by the user includes destination, length of stay, budget, and number of participants, and this information is converted into JSON format.

[0651] Step 2:

[0652] The server analyzes the received request information and uses an AI model to generate the optimal travel plan. Based on the input request information, it searches the database for tourist information, accommodation information, and transportation information related to the destination, and uses the AI ​​model to refer to past ratings and reviews. At this point, the prompt "Optimize and propose a travel plan" is entered into the generating AI model, and an optimized travel plan is obtained as output.

[0653] Step 3:

[0654] The server uses the generated travel plan to make booking requests to appropriate service providers and simultaneously proposes payment methods using payment suggestion tools. After selecting services related to the travel plan, the payment method is optimized, and suitable payment options and discount information are calculated using the Stripe API. Booking information and payment suggestions are generated as output and sent back to the user's device.

[0655] Step 4:

[0656] The terminal presents the user with a travel plan and payment proposal received from the server, and the user makes a final confirmation. If the user accepts and selects the proposal, the final booking and payment are confirmed. At this point, a provisional payment is processed using the selected payment method.

[0657] Step 5:

[0658] After the user completes their selection, the device returns the completed booking information to the server to verify that the travel plan is executed successfully. During this process, a booking confirmation and payment receipt are generated and provided to the user.

[0659] 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.

[0660] This invention relates to a travel planning and booking system that incorporates an emotion engine to highly personalize the user's travel experience. This system takes user travel preferences as input, evaluates the user's emotions using emotion recognition technology, and reflects the evaluation results in the travel plan. Specifically, the terminal provides a screen for the user to input preferences and transmits the user's input to a server.

[0661] The server not only analyzes the received request information but also uses an emotion engine to recognize the user's emotions. The emotion engine evaluates the emotional state based on, for example, text data obtained from the user's input and past history. This evaluation result is passed to an AI assistant that generates travel plans. The AI ​​assistant uses the emotional data to select destinations and activities that are appropriate for the user's emotional state.

[0662] The server also references a database of destinations to identify tourist attractions and accommodations that match the user's preferences. In addition, it consults past ratings and reviews to make travel planning options more specific and optimal. The server also considers discount and special offer information to construct the final travel plan.

[0663] The generated travel plan is presented to the user via the terminal and suggested as a booking option. The user can review the presented plan and proceed to the detailed booking process using the booking link on the terminal. The server handles the final booking process in conjunction with an external booking system and sends a completion notification to the terminal.

[0664] As a concrete example, suppose a user inputs that they "want a weekend trip to relax" and "are interested in relaxing by the sea." Based on this preference, the emotion engine recognizes the user's desired state of relaxation and suggests a seaside resort as a suitable destination. It also offers special perks such as booking spa or massage appointments. In this way, by utilizing the emotion engine, it is possible to create detailed travel plans that reflect the user's emotional state.

[0665] The following describes the processing flow.

[0666] Step 1:

[0667] The device provides the user with an interface for entering travel preferences. The user enters and submits information including destination, budget, and desired activities.

[0668] Step 2:

[0669] The terminal receives user input information and sends it to the server. The server analyzes the data, verifies the information's integrity, and then activates the emotion engine.

[0670] Step 3:

[0671] The server uses an emotion engine to analyze user input. It evaluates the user's emotional state from text data and input patterns, and records the inferred emotion as data.

[0672] Step 4:

[0673] The server activates the AI ​​assistant and instructs it to generate the optimal travel plan based on the user's preferences and emotional data. The AI ​​assistant gathers relevant information from a destination database and selects facilities and activities that match the user's emotions.

[0674] Step 5:

[0675] The server scrutinizes past reviews and user feedback to enhance the reliability of potential travel plans. It then cross-references this with sentiment data to further narrow down the options.

[0676] Step 6:

[0677] The server builds the final travel plan and searches for available services. It optimizes the plan by incorporating discount and special offer information.

[0678] Step 7:

[0679] The server sends the completed travel plan to the terminal. The terminal displays the travel plan to the user and prompts them to review and make selections.

[0680] Step 8:

[0681] The user reviews the presented plan and begins the booking process. The terminal assists with the detailed booking process via a booking link.

[0682] Step 9:

[0683] The server interacts with an external reservation system to execute the reservation and obtain confirmation of its completion. This information is then sent to the terminal to notify the user that the reservation is complete.

[0684] (Example 2)

[0685] 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".

[0686] While travel plans are generally formulated based on a large amount of information, providing highly personalized suggestions based on user emotions is difficult. Furthermore, efficiently processing the data required for optimizing travel plans and bookings, and providing the best possible plan for the user, is necessary, but current systems require a great deal of time and effort to achieve this. A system is needed to solve these problems.

[0687] 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.

[0688] In this invention, the server includes an information input means for receiving travel preference information from the user, a plan generation means for generating a travel plan based on the user's emotions using emotion recognition technology, and a reservation means for automatically making reservations for related services in cooperation with an external system based on the generated travel plan. This enables highly personalized and optimized travel plans that take the user's emotions into consideration, as well as faster reservation processing.

[0689] An "information input means" is an interface that allows users to provide the system with desired travel information.

[0690] An "information processing device" is a device that has the function of analyzing the user's desired information and emotional state and performing appropriate data processing.

[0691] The "plan generation means" is a device that uses emotion recognition technology to automatically generate travel plans based on the user's emotions.

[0692] A "presentation method" is a device that has the function of communicating the generated travel plan to the user and providing information for consideration and selection.

[0693] A "booking method" refers to a function that automatically books related services and facilities in conjunction with external systems based on the generated travel plan.

[0694] "Emotion recognition technology" is a technology that evaluates a user's emotional state based on their input data and past history, and recognizes the user's psychological state.

[0695] "External systems" refer to reservation management platforms or service providers located outside the system that are used in conjunction with the system to process various travel reservations.

[0696] "Personalization" means individually adjusting travel plans and suggestions based on the user's individual preferences and feelings.

[0697] This invention is a travel planning and booking system for personalizing travel experiences based on user emotions. The system allows users to input travel preferences via a terminal, and this information is processed on a server to provide a travel plan optimized to the user's needs.

[0698] The terminal provides the user with an interface to input information such as travel purpose, interests, budget, and itinerary. This information is sent to the server using the HTTPS protocol. The server analyzes the received request information and evaluates the user's emotional state using sentiment recognition technology. This process utilizes natural language processing libraries (e.g., NLTK, spaCy) and machine learning models (e.g., TensorFlow, PyTorch).

[0699] The evaluation results from emotion recognition technology are passed to an AI assistant. The AI ​​assistant uses a generative AI model to automatically generate a travel plan that suits the user's emotions. The plan generation process references destination databases, past evaluation information, and user reviews. Furthermore, the plan is optimized by considering special offers and discounts.

[0700] The generated travel plan is presented to the user via the device. The user can review the suggested plan and, if necessary, proceed with booking directly from the device via a booking link. The server integrates with an external booking system to confirm the booking and sends a completion notification to the device. A concrete example is generating a plan tailored to the user's preferences using a prompt such as, "Please suggest a relaxing travel destination."

[0701] This system enables the creation of travel plans tailored to each user's individual emotional state, resulting in an efficient and effective travel booking process. This allows users to enjoy a more satisfying travel experience.

[0702] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0703] Step 1:

[0704] The terminal provides an interface for users to input travel preferences. Specifically, it displays a screen where users can enter destination, duration, budget, and activities of interest using text boxes and checkboxes. The entered information is sent from the terminal to the server. This becomes the input data.

[0705] Step 2:

[0706] The server analyzes the travel preference information received from the terminal. Using a natural language processing library, it extracts keywords and phrases from the input text data. For example, preferences such as "I want to relax" or "I want to spend time on the beach" are extracted. This analysis result becomes the input data for the next processing step.

[0707] Step 3:

[0708] The server uses emotion recognition technology to evaluate the user's emotional state. Based on the analysis results, a machine learning model is used to estimate the emotional state. This is categorized into emotional categories such as positive, negative, and relaxed. This emotional data becomes the input for generating the next plan.

[0709] Step 4:

[0710] The server uses AI assistant functionality to generate travel plans based on the user's emotional state. Using a generation AI model, it suggests the most suitable destinations and activities for the user. Past reviews and user feedback are also referenced to narrow down the options. The generated travel plan is the output of this step.

[0711] Step 5:

[0712] The server considers discount and perk information when generating travel plans, creating an optimized plan. It retrieves this information from the database and reconstructs the plan, including applicable perks. The final plan becomes the output data for this step.

[0713] Step 6:

[0714] The device receives the final travel plan from the server and presents it to the user. It includes a link to proceed with the booking process for the plan the user has selected. Clicking this link is designed to take the user to the booking details page.

[0715] Step 7:

[0716] The server connects with an external booking system based on the travel plan selected by the user and completes the booking process. Upon successful booking, a completion notification is sent to the user's device and displayed. This notification allows the user to confirm that their travel preparations are finalized.

[0717] (Application Example 2)

[0718] 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".

[0719] Traditional travel planning systems struggled to propose personalized travel plans that took into account the user's emotional state. Furthermore, the lack of visually engaging experiences in destination selection and activity suggestions resulted in low user satisfaction. Additionally, the booking process required optimal adjustments that took discounts and benefits into account.

[0720] 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.

[0721] In this invention, the server includes an acquisition means for receiving travel preference information from the user, an emotion analysis means for evaluating emotions based on the preference information, a plan generation means for collecting destination information and generating an optimal travel plan based on the evaluation, a virtual reality provision means for making the generated travel plan visually experienceable, and a reservation means for automatically making reservations for associated services based on the generated travel plan. This makes it possible to provide a personalized travel plan that takes the user's emotions into consideration and to enhance the specificity and appeal of the travel plan through a visual experience. Furthermore, by making adjustments that take into account discounts and benefits during the reservation process, convenience for the user is improved.

[0722] "Means of acquisition" refers to the means by which we receive travel-related information from users.

[0723] An "emotion analysis tool" is a means of evaluating a user's emotions based on information entered by the user.

[0724] A "plan generation method" is a means of collecting destination information based on the results of sentiment analysis and generating an optimal travel plan.

[0725] A "virtual reality delivery method" is a means of making a generated travel plan visually achievable.

[0726] A "booking method" is a means of automatically making reservations for associated services based on a generated travel plan.

[0727] The system for realizing this invention mainly consists of cooperation between a server and a user terminal. The user inputs travel-related information using a terminal such as a smartphone. The terminal sends this information to the server.

[0728] The server uses sentiment analysis tools to evaluate the user's emotional state based on their input information. This analysis utilizes a sentiment evaluation API based on text data and past travel history. Based on these evaluation results, the server uses a plan generation tool to collect destination information and generate an optimal travel plan. A generative AI model can be used for plan generation.

[0729] Furthermore, the generated travel plan is presented to the user via a virtual reality delivery system. This allows the user to visually experience the suggested destinations and accommodations using a VR device. The terminal reviews the plans the user is interested in and automatically makes reservations for related services using a reservation system. During the reservation process, discounts and benefits are taken into consideration to provide the best possible conditions.

[0730] For example, if a user enters their desired destination as "a place to enjoy nature" on their smartphone, the server analyzes that emotion as relaxation and suggests a tourist destination rich in nature. The user can then enjoy the scenery of that location in VR before making a reservation.

[0731] An example of a prompt message is, "If the user desires a relaxing trip, suggest appropriate destinations and activities." In this way, the system can provide a personalized travel experience that takes the user's emotions and preferences into account.

[0732] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0733] Step 1:

[0734] The user uses a terminal to input travel preferences. This input is stored on the terminal as text or audio data. After the user's preferences are entered, the terminal sends them to the server. The output of the input information is in digital format, either text or audio.

[0735] Step 2:

[0736] The server processes the received request information using sentiment analysis tools. These tools analyze text or audio data to evaluate the user's emotional state. This analysis utilizes natural language processing (NLP) techniques to analyze the meaning and tone of the text. The input is text or audio data of the request information, and the output is data representing the evaluated emotional state.

[0737] Step 3:

[0738] The server operates a plan generation system based on the results of sentiment analysis to select candidate destinations and activities. This process searches a destination database and uses a generative AI model to create the optimal plan for the user. The input is emotional state data, and the output is a travel plan template.

[0739] Step 4:

[0740] After the travel plan is generated, the server sends the results to the terminal via a virtual reality delivery system. The terminal then uses a VR device to allow the user to visually experience the suggested travel destinations and activities. The input is the travel plan template, and the output is the display of VR content.

[0741] Step 5:

[0742] If the user is satisfied with the visualized travel plan, they make a selection on the device to confirm the booking. Based on the user's selection, the device sends the booking information to the server. The input is the travel plan selected by the user, and the output is the instruction to execute the booking.

[0743] Step 6:

[0744] The server operates the reservation system based on the received reservation information, automatically making reservations for related services in conjunction with an external system. Discounts and benefits are taken into consideration during the reservation process. The input to this process is a reservation execution instruction, and the output is confirmation information that the reservation has been completed.

[0745] Step 7:

[0746] Once the reservation is complete, the server sends a reservation confirmation notification to the device, allowing the user to confirm their travel plans on the device. The input is the reservation confirmation information, and the output is the notification to the user.

[0747] 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.

[0748] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include those described above. 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 shown 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.

[0749] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0750] 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.

[0751] 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.

[0752] 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.

[0753] 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.

[0754] 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.

[0755] 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."

[0756] 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.

[0757] 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.

[0758] 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.

[0759] 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.

[0760] 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.

[0761] 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.

[0762] 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.

[0763] 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.

[0764] 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.

[0765] 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.

[0766] 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.

[0767] 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 as being incorporated by reference.

[0768] The following is further disclosed regarding the embodiments described above.

[0769] (Claim 1)

[0770] An input method for receiving travel preferences from the user,

[0771] Information processing means that collects destination information based on the desired information and generates an optimal travel plan,

[0772] A booking method that automatically makes reservations for associated services based on the generated travel plan,

[0773] A system that includes this.

[0774] (Claim 2)

[0775] The system according to claim 1, wherein the information processing means optimizes travel plans using past evaluation information and word-of-mouth information.

[0776] (Claim 3)

[0777] The system according to claim 1, wherein the reservation means adjusts the travel plan taking into account discount information and special offer information.

[0778] "Example 1"

[0779] (Claim 1)

[0780] A means of receiving information about travel preferences from the user,

[0781] A transmission means for sending the requested information to the server,

[0782] An information processing means that uses the generated prompt to activate an AI assistant and generate an optimal travel plan,

[0783] A cost optimization method for searching for services to book, taking into account special offers and discount information,

[0784] A display means that presents the generated travel plan on the terminal and facilitates the user's final booking,

[0785] A confirmation method that sends the completed reservation information back to the server,

[0786] A system that includes this.

[0787] (Claim 2)

[0788] The system according to claim 1, wherein the information processing means generates a travel plan using a generation AI model and collects information on tourist attractions, accommodations, and transportation methods by referring to a destination database.

[0789] (Claim 3)

[0790] The system according to claim 1, wherein the verification means records the user's reservation completion information on a server and verifies the feasibility of the travel plan.

[0791] "Application Example 1"

[0792] (Claim 1)

[0793] A terminal device for receiving travel-related information from users,

[0794] A data processing means that collects destination data based on the requested information and generates an optimal travel plan,

[0795] A means of making arrangements that automatically make reservations for associated services based on the generated travel plan,

[0796] A payment suggestion tool that receives payment information related to travel plans and proposes the best payment method and discounts,

[0797] A system that includes this.

[0798] (Claim 2)

[0799] The data processing means optimizes travel plans using past evaluation information and word-of-mouth information, and optimizes payment benefits from limited information, as described in claim 1.

[0800] (Claim 3)

[0801] The system according to claim 1, wherein the arrangement means adjusts the travel plan taking into account discount information and benefit information, and the payment proposal means integrates multiple associated payment methods to provide a number of payment options.

[0802] "Example 2 of combining an emotion engine"

[0803] (Claim 1)

[0804] A means of receiving travel-related information from the user,

[0805] Information processing means for analyzing and evaluating the desired information and the user's emotional state,

[0806] A travel plan generation means that generates a travel plan based on the user's emotions using emotion recognition technology,

[0807] A presentation means that presents the results through an output means associated with the generated travel plan,

[0808] A reservation method that automatically makes reservations for related services based on the travel plan in conjunction with an external system,

[0809] A system that includes this.

[0810] (Claim 2)

[0811] The system according to claim 1, wherein the information processing means optimizes travel plans using past evaluation information and word-of-mouth information.

[0812] (Claim 3)

[0813] The system according to claim 1, wherein the reservation means adjusts the travel plan taking into account discount information and special offer information.

[0814] "Application example 2 when combining with an emotional engine"

[0815] (Claim 1)

[0816] A means of receiving travel-related information from users,

[0817] A means for evaluating emotions based on the requested information,

[0818] A plan generation means that collects destination information based on the evaluation and generates an optimal travel plan,

[0819] A virtual reality provision method that allows users to visually experience the generated travel plan,

[0820] A booking method that automatically makes reservations for associated services based on the generated travel plan,

[0821] A system that includes this.

[0822] (Claim 2)

[0823] The system according to claim 1, wherein the plan generation means optimizes the travel plan using past evaluation information and word-of-mouth information.

[0824] (Claim 3)

[0825] The system according to claim 1, wherein the reservation means adjusts the travel plan taking into account discount information and special offer information, and visualizes the proposed content through a virtual reality provision means. [Explanation of symbols]

[0826] 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 method for receiving travel preferences from the user, Information processing means that collects destination information based on the desired information and generates an optimal travel plan, A booking method that automatically makes reservations for associated services based on the generated travel plan, A system that includes this.

2. The system according to claim 1, wherein the information processing means optimizes travel plans using past evaluation information and word-of-mouth information.

3. The system according to claim 1, wherein the reservation means adjusts the travel plan taking into account discount information and special offer information.

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