system

Abstract

We provide the system. [Solution] A means for collecting user travel information, A means for generating a travel plan based on the aforementioned travel information using artificial intelligence, A means of providing the generated travel plan in short video format, A means of processing reservations in bulk based on the provided plan, A system that includes this.

Description

Technical Field

[0004] ,

[0006] , , , ,

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

Background Art

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] It is an object to reduce the labor of information collection faced by a user when making a travel plan and the labor of performing a plurality of reservation procedures individually, and to provide an efficient and personalized travel experience.

Means for Solving the Problems

[0005] To solve this problem, the present invention provides a system that generates an optimal travel plan based on user information by artificial intelligence, presents the plan in the form of a short video, and collectively processes reservations based on the plan. As a result, the user can visually and easily proceed with the travel plan.

[0006] "User travel information" refers to information such as the user's desired travel destination, budget, itinerary, and activities of interest.

[0007] "Artificial intelligence" refers to technologies that include machine learning models and algorithms used to process user input data and create optimal travel plans.

[0008] A "travel plan" refers to an outline of a travel plan proposed to a user, including specific destinations, activities, accommodations, and modes of transportation.

[0009] "Short video format" refers to a short video format designed to visually and concisely represent travel plans and present information to users.

[0010] "A means of processing reservations in bulk" refers to a function that allows users to make reservations for activities, accommodations, and transportation selected based on their travel plan, all at once with a single operation. [Brief explanation of the drawing]

[0011] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] It shows an emotion map to which a plurality of emotions are mapped. [Figure 10] It shows an emotion map to which a plurality of emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when an emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when an emotion engine is combined.

Mode for Carrying Out the Invention

[0012] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0013] First, the terms used in the following description will be described.

[0014] In the following embodiments, a labeled processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of a plurality of arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of a plurality of types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0015] In the following embodiments, the tagged RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by a processor.

[0016] In the following embodiments, the tagged storage is one or more non-volatile storage devices that store various programs, various parameters, and the like. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes.

[0017] In the following embodiments, the tagged communication I / F (Interface) is an interface including a communication processor, an antenna, and the like. The communication I / F controls communication between a plurality of computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0018] 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 only A, only B, or a combination of A and B. Also, in this specification, when expressing three or more matters connected by "and / or", the same concept as "A and / or B" is applied.

[0019] [First Embodiment]

[0020] FIG. 1 shows an example of the configuration of a data processing system , related to the first embodiment. [[ID=2']]

[0021] 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.

[0022] 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).

[0023] 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.

[0024] 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.

[0025] 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.

[0026] 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.

[0027] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0028] 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.

[0029] 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.

[0030] 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.

[0031] 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".

[0032] The system according to the present invention enables users to easily and efficiently plan and book their desired trips. First, the server receives the user's travel information and uses artificial intelligence to generate an optimal travel plan based on this information.

[0033] Based on the generated plan, the server creates a visually easy-to-understand short video for the user. This video includes highlights of the destination's attractions, activities, and accommodations, intuitively presenting the user with an overview of the trip. Once the video is complete, the server sends the video data to the user's device for review.

[0034] Users can review the travel plan presented in the video, and if they like it, they can select the booking details through their device. The server receives this selection, processes all the bookings included in the plan in one go, organizes all the booking information, and notifies the user.

[0035] For example, if a user wants to enjoy both "city sightseeing" and "nature experiences," the server can suggest a schedule based on this, such as visiting famous city attractions during the day and staying overnight in a quiet resort area. In this way, it is possible to improve the user's travel experience by suggesting personalized and efficient plans.

[0036] Furthermore, because the system centrally manages reservation information, users can complete their travel plans in one place without having to go through procedures on multiple websites. This eliminates the need for information gathering and time-consuming reservation work, and supports smoother travel preparation, which is a key feature of this invention.

[0037] The following describes the processing flow.

[0038] Step 1:

[0039] The user enters their travel destination, budget, dates, and activities of interest from their device, and the device sends this information to the server.

[0040] Step 2:

[0041] Based on the user information it receives, the server retrieves data from its database regarding tourist destinations, activities, accommodations, and other information related to the travel destination, and inputs it into an artificial intelligence model.

[0042] Step 3:

[0043] The server's artificial intelligence generates an optimal travel plan based on the user's preferences. This plan includes places to visit, the order of activities, and the duration of each activity.

[0044] Step 4:

[0045] The server automatically generates a visually easy-to-understand short video based on the travel plan it creates. The video includes highlights of the plan and footage of tourist attractions.

[0046] Step 5:

[0047] The server sends the generated short video data to the terminal, and the terminal presents it to the user.

[0048] Step 6:

[0049] Users view the video content through their device and select and confirm details such as suggested plans, activities, and accommodations.

[0050] Step 7:

[0051] The terminal resends the user's selected information to the server, which then processes all reservations in a batch based on this information.

[0052] Step 8:

[0053] The server organizes the confirmed reservation information and sends it to the user's device via the contact method specified by the user (e.g., LINE).

[0054] Step 9:

[0055] Users can check their booking information on their devices and share their travel plans and booking information with others as needed.

[0056] (Example 1)

[0057] 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."

[0058] In modern travel planning, travelers must spend a significant amount of time gathering information and making reservations, and the hassle and complexity of using multiple websites and platforms are problematic. Furthermore, because these processes are managed individually, it is difficult to create a consistent plan.

[0059] 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.

[0060] In this invention, the server includes means for collecting information about the user's travel, means for creating a travel plan based on the information using a generative model, and means for providing the generated travel plan in a short video format. This allows the user to visually confirm a consistent travel plan in a short time and proceed with the plan efficiently.

[0061] A "user" is an individual or group that wishes to create and book a travel plan through the system.

[0062] "Travel-related information" refers to data provided by users that is necessary for creating travel plans, such as destinations, dates, budgets, and areas of interest.

[0063] A "generative model" is an algorithm or framework that uses artificial intelligence technology to automatically generate travel plans.

[0064] A "travel plan" is a detailed itinerary that includes the travel destination, schedule, accommodation, and activities desired by the user.

[0065] A "short video" is a video content piece with a short time frame, created to visually present an overview of a travel plan.

[0066] "Reservation" refers to the act of securing arrangements for transportation, accommodation, activities, etc., based on a travel plan.

[0067] "Processing in batches" refers to the operation of managing and executing multiple reservations simultaneously, rather than individually.

[0068] This invention is a system that allows users to easily and efficiently plan and book their desired trips. Specifically, it is a system in which users input travel information via a terminal, and a server automatically generates an optimal travel plan based on that information.

[0069] The server first receives information entered by the user, such as destination, dates, budget, and interests. Based on this information, a generative AI model uses artificial intelligence technology to create a travel plan. This model works to propose an optimal plan tailored to the individual user's needs. An example of a prompt message is, "Create a travel plan based on the specified destination and interests."

[0070] Next, the server creates a short video based on the generated travel plan. It is expected that video editing software such as Adobe Premiere Pro will be used for this video production. The video will include important elements such as tourist spots, accommodations, and activities, allowing users to intuitively grasp the overall picture of the trip visually.

[0071] The completed short video is sent from the server to the user's device. The user can watch this video on their device, and if they are satisfied with the suggested travel plan, they can select various booking details based on that plan.

[0072] Based on user selections, the server communicates with external booking systems via APIs to arrange various reservations such as flights, accommodations, and activities all in one place. This allows users to manage the complex procedures of their travel planning in a single, unified manner.

[0073] As described above, this invention makes it possible to realize a system that allows for efficient travel planning and booking procedures, significantly reducing the effort required for information gathering and individual booking, and supporting smoother travel preparation.

[0074] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0075] Step 1:

[0076] The user enters travel information via their device. This includes details such as destination, dates, budget, and areas of interest. The entered information is stored in a database and sent to the server. The information is sent to the server when the user completes the input and presses the submit button.

[0077] Step 2:

[0078] The server analyzes the received travel information and generates an optimal travel plan using a generative AI model. It generates prompt messages based on input data (destination, dates, etc.) and inputs them into the AI ​​model to create the plan. The resulting output includes activity schedules and accommodation suggestions for each destination.

[0079] Step 3:

[0080] The server creates short videos based on the generated travel plan. Using video editing software, users select footage that matches their interests and arrange and edit it in the appropriate order. The input is travel plan data, and the output is a short video file.

[0081] Step 4:

[0082] The server sends the completed video to the terminal. The user can play the video on the terminal and visually confirm the contents of the provided travel plan. Here, a video file is sent to the terminal as input and then played.

[0083] Step 5:

[0084] The user has the option to view the plan on their device and select booking details. They choose a plan they like, select the details, and request a booking. This selection information is sent to the server, and the booking process proceeds.

[0085] Step 6:

[0086] The server processes reservations in batches based on user selections. Flight and accommodation arrangements are handled through integration with external systems via APIs. Input is user selection information, and output is reservation confirmation information.

[0087] Step 7:

[0088] The server compiles the final booking information and sends a notification to the device. The user can view the booking confirmation details on their device and confirm that their travel plans are ready. This notification provides the user with all booking information.

[0089] (Application Example 1)

[0090] 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."

[0091] Modern travelers want to plan and book their trips efficiently and visually. However, existing systems struggle to quickly and individually translate travel preferences into concrete travel plans, and the complexity of using multiple booking sites is a challenge. Therefore, there is a need for a system that allows users to intuitively view the overall picture of their trip in one place and complete bookings quickly.

[0092] 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.

[0093] In this invention, the server includes means for acquiring the user's travel preferences, means for creating a travel plan based on the travel preferences using a machine learning model, and means for providing the created travel plan in a video format that is easy to understand visually. This makes it easier for the user to intuitively understand the details of the trip and to complete everything from travel planning to booking in one go.

[0094] "Means for obtaining users' travel preferences" refers to a function that receives and records information based on the travel requirements, interests, and preferences of individual users.

[0095] "Means for creating a travel plan based on the aforementioned travel preferences using a machine learning model" refers to a function that analyzes travel preferences obtained using machine learning and plans the most suitable travel schedule and destinations.

[0096] "A means of providing the created travel plan in a visually easy-to-understand video format" refers to a function that visually presents the generated travel plan as a video so that users can easily grasp the details of their trip.

[0097] "A means of processing procedures in an integrated manner based on the provided plan" refers to a function that allows users to make all relevant reservations and procedures in one place based on the travel plan they have selected.

[0098] The system implementing this invention efficiently acquires the user's travel preferences and generates an optimal travel plan using artificial intelligence technology. The server first collects data from the user about their travel preferences and interests. This data is transmitted from the user's terminal and processed appropriately by the server.

[0099] Next, the server uses a machine learning model (e.g., Google Cloud Platform's machine learning service) based on the collected data to generate a travel plan. This machine learning model has the ability to analyze past travel data and related information to create an optimal travel schedule for each individual user.

[0100] The generated plan is converted into a short, visually easy-to-understand video format using video creation software such as Adobe Premiere Pro. At this stage, users can watch the video on their device and intuitively grasp the outline of the provided plan.

[0101] Once the user reviews the plan and makes their final selections, the server centrally processes all bookings included in the plan and completes the travel-related procedures. This process can utilize multiple booking systems, such as Booking.com, in an integrated manner.

[0102] As a concrete example, consider a scenario where a user inputs, "I want to take a family trip to a beach resort." In this case, the generative AI model selects the optimal resort location and creates a plan incorporating accommodations and activities based on that. The user then reviews and selects this plan, completing the travel booking in one go.

[0103] Examples of prompt statements for a generative AI model are as follows:

[0104] "Please generate a family trip plan to a beach resort. Include activities suitable for children. We prefer family-friendly accommodations."

[0105] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0106] Step 1:

[0107] The device retrieves travel preference data from the user. This data includes destinations, activities of interest, and preferred accommodations. This data is then sent to the server.

[0108] Step 2:

[0109] The server inputs the travel preference data it receives into a machine learning model. This model uses past travel data and destination details to generate the optimal travel schedule for the user. The model's output is returned to the server as a travel plan.

[0110] Step 3:

[0111] The server inputs the generated travel plan into a video creation tool (e.g., Adobe Premiere Pro) to convert it into visual content. This tool selects key elements from the generated plan and generates a short video based on them. The video visually summarizes the travel plan.

[0112] Step 4:

[0113] The server generates a video which is then sent to the user's device for playback. The user can visually review the travel plan outline and intuitively understand the provided options.

[0114] Step 5:

[0115] The user selects a plan they like and determines its details. The selection information from the device is sent to the server, which receives it.

[0116] Step 6:

[0117] The server integrates the booking process based on the selected travel plan. This process includes booking accommodations, transportation, and activities. Bookings are made in a single batch, and all booking information is compiled and notified to the user.

[0118] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0119] This invention provides a system that offers an optimal travel plan based on a user's travel information, while also achieving a higher level of personalization that takes the user's emotions into account. First, the user inputs their travel destination, budget, dates, and activities of interest from their device. In addition, an emotion engine analyzes the user's responses during and after input to acquire data on the user's emotional state.

[0120] The server receives input information from the user and emotional states from the emotion engine. The server inputs this data into an artificial intelligence model to generate an optimal travel plan tailored to the user's current emotions. This process considers not only the user's interests and desires, but also emotional information such as the stress and expectations the user is facing, to provide more personalized suggestions.

[0121] The generated travel plan is presented to the user in a visually easy-to-understand short video format. The server creates video content that responds to the user's emotions; for example, if the user is seeking relaxation, the video will focus on quiet scenic spots and relaxing activities. Furthermore, as the user views the video, the device continuously monitors the user's emotions and transmits them to the server in real time.

[0122] The user reviews the presented plan, selects the details if they like it, and proceeds with the booking process. The server processes the booking of related accommodations and activities in bulk based on the user's selection. Once the booking is complete, all information is notified to the user via their device.

[0123] For example, if a user wants to enjoy an adventure in a new place but also wants to relax, the server will present a plan that combines adventurous daytime activities with calming evening activities. By having the emotion engine identify the user's desire for excitement and relaxation, a personalized travel experience can be provided, improving user satisfaction.

[0124] Thus, by taking into account the user's emotions, the present invention not only proposes a plan that matches their wishes, but also achieves a high level of personalization that addresses the user's inner expectations and desires.

[0125] The following describes the processing flow.

[0126] Step 1:

[0127] The user uses the device to input their travel destination, budget, duration, and activities of interest. The device provides this information to an emotion engine, which analyzes the user's emotions at the time of input.

[0128] Step 2:

[0129] The emotion engine analyzes the user's facial expressions, tone of voice, and text input speed to determine the user's emotional state. The determined emotional data is then sent to the server via the device.

[0130] Step 3:

[0131] The server receives travel information and emotional data sent by the user. Using artificial intelligence, it generates a travel plan that suits the user's wishes and emotions. Based on the emotional data, for example, if the user is feeling stressed, it will create a plan that includes many relaxing activities.

[0132] Step 4:

[0133] The server creates a short video of the generated travel plan. This video includes information about tourist destinations and activities that are tailored to the user's emotions. The completed video data is then sent to the device.

[0134] Step 5:

[0135] The user watches a short video provided on their device. While watching, the device continuously monitors the user's reactions using an emotion engine and sends the results to the server.

[0136] Step 6:

[0137] If the user is satisfied with the plan and proceeds to review the details, the device sends that information to the server, and further adjustments to the plan are made based on the user's emotions. If any new emotional changes are detected, the plan content is optimized.

[0138] Step 7:

[0139] Based on the travel plan selected by the user, the server processes bulk bookings for accommodations and activities. The completed booking information is then notified to the user via their device.

[0140] Step 8:

[0141] Users can check the reservation information notified on their device and share this plan with other users if necessary.

[0142] (Example 2)

[0143] 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".

[0144] Traditional travel plan generation systems provide plans based on user interests and budgets, but lack the high level of personalization that responds to users' emotions and inner desires. This can lead to users being dissatisfied with the suggested plans, potentially lowering the quality of their travel experience. Furthermore, the information provided is static and cannot respond to real-time changes in users' emotions.

[0145] 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.

[0146] In this invention, the server includes means for collecting user travel information, means for analyzing the user's emotional state and acquiring it as data, and means for generating a travel plan based on the travel information and emotional state data using artificial intelligence. This makes it possible to provide the user with an optimal travel plan that meets their emotional needs in real time.

[0147] "User travel information" refers to data about travel destinations, budgets, dates, and activities of interest.

[0148] "User emotional state" refers to data that indicates the user's inner emotions and psychological state, analyzed from the user's facial expressions, voice tone, and other factors.

[0149] Artificial intelligence is a technology in which computer systems imitate human intellectual behavior, making decisions and generating information through data collection and analysis.

[0150] "Short video format" refers to a format of short video content designed to convey visual and audio information in a short amount of time.

[0151] "Processing reservations in bulk" means efficiently completing the booking process for accommodations and activities necessary for a travel plan all at once.

[0152] The embodiments for carrying out the present invention are described below.

[0153] This system provides personalized travel plans based on the user's travel information and emotional state data. To achieve this, the system primarily uses a terminal, a server, an artificial intelligence model, and an emotion engine. The terminal functions as an interface for collecting travel information from the user, allowing the user to input their travel destination, budget, dates, and activities of interest. Based on this information, the terminal uses the emotion engine to analyze the user's facial expressions and voice to acquire emotional data in order to analyze the user's emotional state.

[0154] The server receives travel information and emotional state data transmitted from the terminal and inputs it into an artificial intelligence model. This model is implemented using programming languages ​​and libraries such as Python and TENSORFLOW®, and generates a travel plan through data analysis. This plan is designed to take the user's emotional state into consideration and be optimized according to the user's expected experience.

[0155] The generated travel plans are converted into short video formats using video editing software such as Adobe Premiere Pro or Final Cut Pro. This makes the plans visually easy to understand and present to the user. During the plan presentation, the device continuously monitors the user's reactions and sends them to the server, enabling real-time adjustments to the plan.

[0156] As a concrete example, consider a scenario where a user wants to enjoy an adventure in a new place, but also seeks relaxation. In this case, the server generates a plan that combines adventurous activities with relaxing time and presents it as a video. The emotion engine identifies the user's feelings of excitement and calmness and suggests a travel experience tailored to them.

[0157] An example of a prompt for a generative AI model is, "Generate a travel plan that combines relaxation and adventure, based on the user's emotional state data."

[0158] Thus, the present invention aims to improve the quality of the user's travel experience by dynamically responding to the user's emotions, thereby providing travel plans that meet a wide range of needs.

[0159] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0160] Step 1:

[0161] The device receives travel destination, budget, dates, and activities of interest from the user as input. This generates travel information data. The collected information is stored before being passed to the emotion engine.

[0162] Step 2:

[0163] The device analyzes the user's facial expressions and voice during input to acquire emotional state data. This analysis uses a camera and microphone, and emotions are read using real-time analysis techniques. The resulting emotional data is then sent to the server along with travel information data.

[0164] Step 3:

[0165] The server receives travel information data and emotional state data sent from the terminal as input. This data is fed into an artificial intelligence model, where data analysis and calculations are performed to generate the optimal travel plan. This includes data classification and pattern recognition, resulting in a personalized travel plan.

[0166] Step 4:

[0167] The server converts the generated travel plan into a visually easy-to-understand short video format. Using video editing software, it combines video and audio according to the plan content to create a format that will easily capture the user's interest. The completed video plan is then provided to the user.

[0168] Step 5:

[0169] The user reviews the travel plan presented in a video. During this time, the device continuously monitors the user's emotional responses and sends newly acquired emotional data to the server in real time. This allows the server to adjust the plan as needed.

[0170] Step 6:

[0171] If the user likes the presented plan, they can select details through their device and proceed with the booking process. Based on this selection, the server prepares to process the booking of related accommodations and activities in bulk.

[0172] Step 7:

[0173] The server notifies the user via their terminal once the reservation is complete and provides confirmation information. This process allows the user to understand the reservation details and proceed smoothly with travel preparations.

[0174] (Application Example 2)

[0175] 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".

[0176] Modern consumers tend to seek personalized experiences, but traditional plan generation systems failed to take into account the user's emotional state, making it impossible to provide suggestions optimized for their mood at any given time. Furthermore, suggestions based solely on attribute information struggled to meet the user's true needs.

[0177] 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.

[0178] In this invention, the server includes means for collecting user attribute information, means for analyzing the user's emotional state, and means for generating a plan based on the attribute information and emotional state using artificial intelligence. This makes it possible to provide a detailed plan that takes into account the user's real-time emotional state.

[0179] "Means of collecting user attribute information" refers to a system that acquires data such as a user's basic characteristics, preferences, and past behavioral history.

[0180] "Means for analyzing a user's emotional state" refers to technologies and devices that analyze a user's current emotions based on their facial expressions, behavior, and other indicators.

[0181] "Means for generating a plan based on attribute information and emotional state using artificial intelligence" refers to a process that uses a machine learning model to automatically design the optimal plan from collected attribute information and emotional state.

[0182] "Means of providing generated plans in a visual format" refers to a system that presents plan contents to users in a visual way that is easy to understand and intuitively grasp.

[0183] "A means of processing orders in bulk based on the provided plan" refers to a system that automatically processes all procedures related to the plan selected by the user.

[0184] The system for implementing this invention has a complex configuration for collecting and analyzing user attribute information and emotional state, and proposing an appropriate plan.

[0185] First, the user's device is a smartphone or tablet, and attribute information is obtained from the user through applications on the device. Furthermore, the camera and sensors are used to analyze the user's emotional state from their face, voice, etc. The software used for emotion analysis includes emotion recognition APIs such as Face++ and Amazon Rekognition.

[0186] Next, the information collected by the device is sent to a server via the internet. The server receives this data and uses a generative AI model to generate a customized plan based on the user's attribute information and emotional state. In this process, the OpenAI® GPT model is used as the generative AI model.

[0187] Once a plan is generated, the server sends it to the user's device in a visually easy-to-understand format, such as images or simple animations. The user can then review the plan on their device and order related services or products by selecting their preferences. Based on the user's selections, the server processes the orders in batches and notifies the user of the confirmation.

[0188] This system allows users to receive the optimal action tailored to their emotional state at any given time, thereby improving their satisfaction with the experience.

[0189] As a concrete example, suppose a user using their smartphone on a holiday morning has their emotional state analyzed and it is determined that they are seeking relaxation. Based on this, the server suggests a breakfast plan at a cafe with calming background music. If the user accepts the suggestion, a cafe reservation is automatically made. An example of the prompt message in this case would be, "Please suggest the most suitable breakfast plan based on the user's desire to relax."

[0190] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0191] Step 1:

[0192] The user's device collects user attribute information through the application. Input at this stage includes the user's interests, preferences, and past behavioral history, which are obtained by the user answering forms and questions within the application. The output is a dataset containing this information, temporarily stored in a database on the device.

[0193] Step 2:

[0194] The device captures the user's face and voice using its built-in camera and microphone, and analyzes the user's emotional state via an emotion analysis API. The input is the captured image and audio data, which is then analyzed by an emotion recognition engine (e.g., Face++ or Amazon Rekognition). The output is the user's emotional state (e.g., relaxed, excited) as a result of the analysis.

[0195] Step 3:

[0196] The device sends the collected attribute information and analyzed emotional state to the server. The input for this step is the attribute information and emotional state data stored on the device. As output, this data is packaged and securely transmitted to the server over the internet.

[0197] Step 4:

[0198] The server generates a plan using a generative AI model based on attribute information and emotional state received from the user. The input is the submitted user information, and the generative AI model (e.g., OpenAI GPT) analyzes this data to design the optimal plan. The output is the details of the plan best suited to the user's state.

[0199] Step 5:

[0200] The server sends the generated plan to the user's device in a visually appealing format. The input is the generated plan, which is converted into an image or animation that the user can intuitively understand. The output is the display of the plan's visual content on the user's device.

[0201] Step 6:

[0202] The user reviews the plan via their device and places an order based on their preferences. The input is a visually displayed plan, confirming the options selected by the user. The output is the confirmed order based on the user's selections.

[0203] Step 7:

[0204] The server processes related orders in batches based on the user's selection and notifies the user of the details. The input is the user's order selection, and based on this, order information is generated and processed for various service providers. The output is the sending of reservation completion notifications, etc., to the user.

[0205] 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.

[0206] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0207] 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.

[0208] [Second Embodiment]

[0209] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0210] 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.

[0211] 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).

[0212] 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.

[0213] 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.

[0214] 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).

[0215] 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.

[0216] 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.

[0217] 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.

[0218] 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.

[0219] 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.

[0220] 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".

[0221] The system according to the present invention enables users to easily and efficiently plan and book their desired trips. First, the server receives the user's travel information and uses artificial intelligence to generate an optimal travel plan based on this information.

[0222] Based on the generated plan, the server creates a visually easy-to-understand short video for the user. This video includes highlights of the destination's attractions, activities, and accommodations, intuitively presenting the user with an overview of the trip. Once the video is complete, the server sends the video data to the user's device for review.

[0223] Users can review the travel plan presented in the video, and if they like it, they can select the booking details through their device. The server receives this selection, processes all the bookings included in the plan in one go, organizes all the booking information, and notifies the user.

[0224] For example, if a user wants to enjoy both "city sightseeing" and "nature experiences," the server can suggest a schedule based on this, such as visiting famous city attractions during the day and staying overnight in a quiet resort area. In this way, it is possible to improve the user's travel experience by suggesting personalized and efficient plans.

[0225] Furthermore, because the system centrally manages reservation information, users can complete their travel plans in one place without having to go through procedures on multiple websites. This eliminates the need for information gathering and time-consuming reservation work, and supports smoother travel preparation, which is a key feature of this invention.

[0226] The following describes the processing flow.

[0227] Step 1:

[0228] The user enters their travel destination, budget, dates, and activities of interest from their device, and the device sends this information to the server.

[0229] Step 2:

[0230] Based on the user information it receives, the server retrieves data from its database regarding tourist destinations, activities, accommodations, and other information related to the travel destination, and inputs it into an artificial intelligence model.

[0231] Step 3:

[0232] The server's artificial intelligence generates an optimal travel plan based on the user's preferences. This plan includes places to visit, the order of activities, and the duration of each activity.

[0233] Step 4:

[0234] The server automatically generates a visually easy-to-understand short video based on the travel plan it creates. The video includes highlights of the plan and footage of tourist attractions.

[0235] Step 5:

[0236] The server sends the generated short video data to the terminal, and the terminal presents it to the user.

[0237] Step 6:

[0238] Users view the video content through their device and select and confirm details such as suggested plans, activities, and accommodations.

[0239] Step 7:

[0240] The terminal resends the user's selected information to the server, which then processes all reservations in a batch based on this information.

[0241] Step 8:

[0242] The server organizes the confirmed reservation information and sends it to the user's device via the contact method specified by the user (e.g., LINE).

[0243] Step 9:

[0244] Users can check their booking information on their devices and share their travel plans and booking information with others as needed.

[0245] (Example 1)

[0246] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0247] In modern travel planning, travelers must spend a significant amount of time gathering information and making reservations, and the hassle and complexity of using multiple websites and platforms are problematic. Furthermore, because these processes are managed individually, it is difficult to create a consistent plan.

[0248] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0249] In this invention, the server includes means for collecting information about the user's travel, means for creating a travel plan based on the information using a generative model, and means for providing the generated travel plan in a short video format. This allows the user to visually confirm a consistent travel plan in a short time and proceed with the plan efficiently.

[0250] A "user" is an individual or group that wishes to create and book a travel plan through the system.

[0251] "Travel-related information" refers to data provided by users that is necessary for creating travel plans, such as destinations, dates, budgets, and areas of interest.

[0252] A "generative model" is an algorithm or framework that uses artificial intelligence technology to automatically generate travel plans.

[0253] A "travel plan" is a detailed itinerary that includes the travel destination, schedule, accommodation, and activities desired by the user.

[0254] A "short video" is a video content piece with a short time frame, created to visually present an overview of a travel plan.

[0255] "Reservation" refers to the act of securing arrangements for transportation, accommodation, activities, etc., based on a travel plan.

[0256] "Processing in batches" refers to the operation of managing and executing multiple reservations simultaneously, rather than individually.

[0257] This invention is a system that allows users to easily and efficiently plan and book their desired trips. Specifically, it is a system in which users input travel information via a terminal, and a server automatically generates an optimal travel plan based on that information.

[0258] The server first receives information entered by the user, such as destination, dates, budget, and interests. Based on this information, a generative AI model uses artificial intelligence technology to create a travel plan. This model works to propose an optimal plan tailored to the individual user's needs. An example of a prompt message is, "Create a travel plan based on the specified destination and interests."

[0259] Next, the server creates a short video based on the generated travel plan. It is expected that video editing software such as Adobe Premiere Pro will be used for this video production. The video will include important elements such as tourist spots, accommodations, and activities, allowing users to intuitively grasp the overall picture of the trip visually.

[0260] The completed short video is sent from the server to the user's device. The user can watch this video on their device, and if they are satisfied with the suggested travel plan, they can select various booking details based on that plan.

[0261] Based on user selections, the server communicates with external booking systems via APIs to arrange various reservations such as flights, accommodations, and activities all in one place. This allows users to manage the complex procedures of their travel planning in a single, unified manner.

[0262] As described above, this invention makes it possible to realize a system that allows for efficient travel planning and booking procedures, significantly reducing the effort required for information gathering and individual booking, and supporting smoother travel preparation.

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

[0264] Step 1:

[0265] The user enters travel information via their device. This includes details such as destination, dates, budget, and areas of interest. The entered information is stored in a database and sent to the server. The information is sent to the server when the user completes the input and presses the submit button.

[0266] Step 2:

[0267] The server analyzes the received travel information and generates an optimal travel plan using a generative AI model. It generates prompt messages based on input data (destination, dates, etc.) and inputs them into the AI ​​model to create the plan. The resulting output includes activity schedules and accommodation suggestions for each destination.

[0268] Step 3:

[0269] The server creates short videos based on the generated travel plan. Using video editing software, users select footage that matches their interests and arrange and edit it in the appropriate order. The input is travel plan data, and the output is a short video file.

[0270] Step 4:

[0271] The server sends the completed video to the terminal. The user can play the video on the terminal and visually confirm the contents of the provided travel plan. Here, a video file is sent to the terminal as input and then played.

[0272] Step 5:

[0273] The user has the option to view the plan on their device and select booking details. They choose a plan they like, select the details, and request a booking. This selection information is sent to the server, and the booking process proceeds.

[0274] Step 6:

[0275] The server processes reservations in batches based on user selections. Flight and accommodation arrangements are handled through integration with external systems via APIs. Input is user selection information, and output is reservation confirmation information.

[0276] Step 7:

[0277] The server compiles the final booking information and sends a notification to the device. The user can view the booking confirmation details on their device and confirm that their travel plans are ready. This notification provides the user with all booking information.

[0278] (Application Example 1)

[0279] 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."

[0280] Modern travelers want to plan and book their trips efficiently and visually. However, existing systems struggle to quickly and individually translate travel preferences into concrete travel plans, and the complexity of using multiple booking sites is a challenge. Therefore, there is a need for a system that allows users to intuitively view the overall picture of their trip in one place and complete bookings quickly.

[0281] 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.

[0282] In this invention, the server includes means for obtaining the travel wishes of users, means for creating a travel plan based on the travel wishes using a machine learning model, and means for providing the created travel plan in a video format that is visually easy to understand. As a result, users can intuitively and easily understand the details of the trip, and it becomes possible to conveniently complete everything from the travel plan to the reservation in one go.

[0283] The "means for obtaining the travel wishes of users" is a function for receiving and recording information based on the requirements, interests, and concerns of the trips desired by individual users.

[0284] The "means for creating a travel plan based on the travel wishes using a machine learning model" is a function for analyzing the travel wishes obtained using machine learning and formulating the most suitable travel schedule and destinations.

[0285] The "means for providing the created travel plan in a video format that is visually easy to understand" is a function for visually presenting the generated travel plan as a video so that users can easily grasp the travel content.

[0286] The "means for integrally processing procedures based on the provided plan" is a function for collectively performing all related reservations and procedures based on the travel plan selected by the user.

[0287] The system for implementing this invention efficiently obtains the travel wishes of users and generates an optimal travel plan using artificial intelligence technology. The server first collects data on the travel wishes and interests from the users. These data are transmitted from the user's terminal and appropriately processed by the server.

[0288] Next, the server uses a machine learning model (e.g., the machine learning service of Google Cloud Platform) based on the collected data to generate a travel plan. This machine learning model has the ability to analyze past travel data and related information and assemble an optimal travel schedule for individual users.

[0289] The generated plan is converted into a short, visually easy-to-understand video format using video creation software such as Adobe Premiere Pro. At this stage, users can watch the video on their device and intuitively grasp the outline of the provided plan.

[0290] Once the user reviews the plan and makes their final selections, the server centrally processes all bookings included in the plan and completes the travel-related procedures. This process can utilize multiple booking systems, such as Booking.com, in an integrated manner.

[0291] As a concrete example, consider a scenario where a user inputs, "I want to take a family trip to a beach resort." In this case, the generative AI model selects the optimal resort location and creates a plan incorporating accommodations and activities based on that. The user then reviews and selects this plan, completing the travel booking in one go.

[0292] Examples of prompt statements for a generative AI model are as follows:

[0293] "Please generate a family trip plan to a beach resort. Include activities suitable for children. We prefer family-friendly accommodations."

[0294] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0295] Step 1:

[0296] The device retrieves travel preference data from the user. This data includes destinations, activities of interest, and preferred accommodations. This data is then sent to the server.

[0297] Step 2:

[0298] The travel wish data received by the server is input into a machine learning model. This model uses past travel data and detailed information about the destination to generate an optimal travel schedule for the user. The output of the model is returned to the server as a travel plan.

[0299] Step 3:

[0300] The travel plan generated by the server is input into a video generation tool (e.g., Adobe Premiere Pro) to convert it into visual content. This tool selects important elements from the generated plan and generates a short video based on them. The video visually shows an overview of the travel plan.

[0301] Step 4:

[0302] The video generated by the server is sent to the terminal and played by the user on the terminal. The user can visually check the overview of the travel plan and intuitively understand the provided options.

[0303] Step 5:

[0304] The user selects a plan they like and determines its details. The selection information from the terminal is sent to the server and received by the server.

[0305] Step 6:

[0306] The server integrally executes the reservation procedure based on the selected travel plan. This procedure includes reservations for accommodation, transportation, and activities. Reservations are made in one batch, and all reservation information is sorted and notified to the user.

[0307] Furthermore, an emotion engine for estimating the user's emotions may be combined. That is, the specific processing unit 290 may estimate the user's emotions using the emotion identification model 59 and perform specific processing using the user's emotions.

[0308] This invention provides a system that offers an optimal travel plan based on a user's travel information, while also achieving a higher level of personalization that takes the user's emotions into account. First, the user inputs their travel destination, budget, dates, and activities of interest from their device. In addition, an emotion engine analyzes the user's responses during and after input to acquire data on the user's emotional state.

[0309] The server receives input information from the user and emotional states from the emotion engine. The server inputs this data into an artificial intelligence model to generate an optimal travel plan tailored to the user's current emotions. This process considers not only the user's interests and desires, but also emotional information such as the stress and expectations the user is facing, to provide more personalized suggestions.

[0310] The generated travel plan is presented to the user in a visually easy-to-understand short video format. The server creates video content that responds to the user's emotions; for example, if the user is seeking relaxation, the video will focus on quiet scenic spots and relaxing activities. Furthermore, as the user views the video, the device continuously monitors the user's emotions and transmits them to the server in real time.

[0311] The user reviews the presented plan, selects the details if they like it, and proceeds with the booking process. The server processes the booking of related accommodations and activities in bulk based on the user's selection. Once the booking is complete, all information is notified to the user via their device.

[0312] For example, if a user wants to enjoy an adventure in a new place but also wants to relax, the server will present a plan that combines adventurous daytime activities with calming evening activities. By having the emotion engine identify the user's desire for excitement and relaxation, a personalized travel experience can be provided, improving user satisfaction.

[0313] Thus, by taking into account the user's emotions, the present invention not only proposes a plan that matches their wishes, but also achieves a high level of personalization that addresses the user's inner expectations and desires.

[0314] The following describes the processing flow.

[0315] Step 1:

[0316] The user uses the device to input their travel destination, budget, duration, and activities of interest. The device provides this information to an emotion engine, which analyzes the user's emotions at the time of input.

[0317] Step 2:

[0318] The emotion engine analyzes the user's facial expressions, tone of voice, and text input speed to determine the user's emotional state. The determined emotional data is then sent to the server via the device.

[0319] Step 3:

[0320] The server receives travel information and emotional data sent by the user. Using artificial intelligence, it generates a travel plan that suits the user's wishes and emotions. Based on the emotional data, for example, if the user is feeling stressed, it will create a plan that includes many relaxing activities.

[0321] Step 4:

[0322] The server creates a short video of the generated travel plan. This video includes information about tourist destinations and activities that are tailored to the user's emotions. The completed video data is then sent to the device.

[0323] Step 5:

[0324] The user watches a short video provided on their device. While watching, the device continuously monitors the user's reactions using an emotion engine and sends the results to the server.

[0325] Step 6:

[0326] If the user is satisfied with the plan and proceeds to review the details, the device sends that information to the server, and further adjustments to the plan are made based on the user's emotions. If any new emotional changes are detected, the plan content is optimized.

[0327] Step 7:

[0328] Based on the travel plan selected by the user, the server processes bulk bookings for accommodations and activities. The completed booking information is then notified to the user via their device.

[0329] Step 8:

[0330] Users can check the reservation information notified on their device and share this plan with other users if necessary.

[0331] (Example 2)

[0332] 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".

[0333] Traditional travel plan generation systems provide plans based on user interests and budgets, but lack the high level of personalization that responds to users' emotions and inner desires. This can lead to users being dissatisfied with the suggested plans, potentially lowering the quality of their travel experience. Furthermore, the information provided is static and cannot respond to real-time changes in users' emotions.

[0334] 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.

[0335] In this invention, the server includes means for collecting user travel information, means for analyzing the user's emotional state and acquiring it as data, and means for generating a travel plan based on the travel information and emotional state data using artificial intelligence. This makes it possible to provide the user with an optimal travel plan that meets their emotional needs in real time.

[0336] "User travel information" refers to data about travel destinations, budgets, dates, and activities of interest.

[0337] "User emotional state" refers to data that indicates the user's inner emotions and psychological state, analyzed from the user's facial expressions, voice tone, and other factors.

[0338] Artificial intelligence is a technology in which computer systems imitate human intellectual behavior, making decisions and generating information through data collection and analysis.

[0339] "Short video format" refers to a format of short video content designed to convey visual and audio information in a short amount of time.

[0340] "Processing reservations in bulk" means efficiently completing the booking process for accommodations and activities necessary for a travel plan all at once.

[0341] The embodiments for carrying out the present invention are described below.

[0342] This system provides personalized travel plans based on the user's travel information and emotional state data. To achieve this, the system primarily uses a terminal, a server, an artificial intelligence model, and an emotion engine. The terminal functions as an interface for collecting travel information from the user, allowing the user to input their travel destination, budget, dates, and activities of interest. Based on this information, the terminal uses the emotion engine to analyze the user's facial expressions and voice to acquire emotional data in order to analyze the user's emotional state.

[0343] The server receives travel information and emotional state data sent from the terminal and inputs it into an artificial intelligence model. This model is implemented using programming languages ​​and libraries such as Python and TensorFlow, and generates a travel plan through data analysis. This plan is designed to take the user's emotional state into account and be optimized according to the user's expected experience.

[0344] The generated travel plans are converted into short video formats using video editing software such as Adobe Premiere Pro or Final Cut Pro. This makes the plans visually easy to understand and present to the user. During the plan presentation, the device continuously monitors the user's reactions and sends them to the server, enabling real-time adjustments to the plan.

[0345] As a concrete example, consider a scenario where a user wants to enjoy an adventure in a new place, but also seeks relaxation. In this case, the server generates a plan that combines adventurous activities with relaxing time and presents it as a video. The emotion engine identifies the user's feelings of excitement and calmness and suggests a travel experience tailored to them.

[0346] An example of a prompt for a generative AI model is, "Generate a travel plan that combines relaxation and adventure, based on the user's emotional state data."

[0347] Thus, the present invention aims to improve the quality of the user's travel experience by dynamically responding to the user's emotions, thereby providing travel plans that meet a wide range of needs.

[0348] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0349] Step 1:

[0350] The device receives travel destination, budget, dates, and activities of interest from the user as input. This generates travel information data. The collected information is stored before being passed to the emotion engine.

[0351] Step 2:

[0352] The device analyzes the user's facial expressions and voice during input to acquire emotional state data. This analysis uses a camera and microphone, and emotions are read using real-time analysis techniques. The resulting emotional data is then sent to the server along with travel information data.

[0353] Step 3:

[0354] The server receives travel information data and emotional state data sent from the terminal as input. This data is fed into an artificial intelligence model, where data analysis and calculations are performed to generate the optimal travel plan. This includes data classification and pattern recognition, resulting in a personalized travel plan.

[0355] Step 4:

[0356] The server converts the generated travel plan into a visually easy-to-understand short video format. Using video editing software, it combines video and audio according to the plan content to create a format that will easily capture the user's interest. The completed video plan is then provided to the user.

[0357] Step 5:

[0358] The user reviews the travel plan presented in a video. During this time, the device continuously monitors the user's emotional responses and sends newly acquired emotional data to the server in real time. This allows the server to adjust the plan as needed.

[0359] Step 6:

[0360] If the user likes the presented plan, they can select details through their device and proceed with the booking process. Based on this selection, the server prepares to process the booking of related accommodations and activities in bulk.

[0361] Step 7:

[0362] The server notifies the user via their terminal once the reservation is complete and provides confirmation information. This process allows the user to understand the reservation details and proceed smoothly with travel preparations.

[0363] (Application Example 2)

[0364] 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 as the "terminal".

[0365] Modern consumers tend to seek personalized experiences, but traditional plan generation systems failed to take into account the user's emotional state, making it impossible to provide suggestions optimized for their mood at any given time. Furthermore, suggestions based solely on attribute information struggled to meet the user's true needs.

[0366] 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.

[0367] In this invention, the server includes means for collecting user attribute information, means for analyzing the user's emotional state, and means for generating a plan based on the attribute information and emotional state using artificial intelligence. This makes it possible to provide a detailed plan that takes into account the user's real-time emotional state.

[0368] "Means of collecting user attribute information" refers to a system that acquires data such as a user's basic characteristics, preferences, and past behavioral history.

[0369] "Means for analyzing a user's emotional state" refers to technologies and devices that analyze a user's current emotions based on their facial expressions, behavior, and other indicators.

[0370] "Means for generating a plan based on attribute information and emotional state using artificial intelligence" refers to a process that uses a machine learning model to automatically design the optimal plan from collected attribute information and emotional state.

[0371] "Means of providing generated plans in a visual format" refers to a system that presents plan contents to users in a visual way that is easy to understand and intuitively grasp.

[0372] "A means of processing orders in bulk based on the provided plan" refers to a system that automatically processes all procedures related to the plan selected by the user.

[0373] The system for implementing this invention has a complex configuration for collecting and analyzing user attribute information and emotional state, and proposing an appropriate plan.

[0374] First, the user's device is a smartphone or tablet, and attribute information is obtained from the user through applications on the device. Furthermore, the camera and sensors are used to analyze the user's emotional state from their face, voice, etc. The software used for emotion analysis includes emotion recognition APIs such as Face++ and Amazon Rekognition.

[0375] Next, the information collected by the device is sent to a server via the internet. The server receives this data and uses a generative AI model to generate a customized plan based on the user's attribute information and emotional state. In this process, the OpenAI GPT model is utilized as the generative AI model.

[0376] Once a plan is generated, the server sends it to the user's device in a visually easy-to-understand format, such as images or simple animations. The user can then review the plan on their device and order related services or products by selecting their preferences. Based on the user's selections, the server processes the orders in batches and notifies the user of the confirmation.

[0377] This system allows users to receive the optimal action tailored to their emotional state at any given time, thereby improving their satisfaction with the experience.

[0378] As a concrete example, suppose a user using their smartphone on a holiday morning has their emotional state analyzed and it is determined that they are seeking relaxation. Based on this, the server suggests a breakfast plan at a cafe with calming background music. If the user accepts the suggestion, a cafe reservation is automatically made. An example of the prompt message in this case would be, "Please suggest the most suitable breakfast plan based on the user's desire to relax."

[0379] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0380] Step 1:

[0381] The user's device collects user attribute information through the application. Input at this stage includes the user's interests, preferences, and past behavioral history, which are obtained by the user answering forms and questions within the application. The output is a dataset containing this information, temporarily stored in a database on the device.

[0382] Step 2:

[0383] The device captures the user's face and voice using its built-in camera and microphone, and analyzes the user's emotional state via an emotion analysis API. The input is the captured image and audio data, which is then analyzed by an emotion recognition engine (e.g., Face++ or Amazon Rekognition). The output is the user's emotional state (e.g., relaxed, excited) as a result of the analysis.

[0384] Step 3:

[0385] The device sends the collected attribute information and analyzed emotional state to the server. The input for this step is the attribute information and emotional state data stored on the device. As output, this data is packaged and securely transmitted to the server over the internet.

[0386] Step 4:

[0387] The server generates a plan using a generative AI model based on attribute information and emotional state received from the user. The input is the submitted user information, and the generative AI model (e.g., OpenAI GPT) analyzes this data to design the optimal plan. The output is the details of the plan best suited to the user's state.

[0388] Step 5:

[0389] The server sends the generated plan to the user's device in a visually appealing format. The input is the generated plan, which is converted into an image or animation that the user can intuitively understand. The output is the display of the plan's visual content on the user's device.

[0390] Step 6:

[0391] The user reviews the plan via their device and places an order based on their preferences. The input is a visually displayed plan, confirming the options selected by the user. The output is the confirmed order based on the user's selections.

[0392] Step 7:

[0393] The server processes related orders in batches based on the user's selection and notifies the user of the details. The input is the user's order selection, and based on this, order information is generated and processed for various service providers. The output is the sending of reservation completion notifications, etc., to the user.

[0394] 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.

[0395] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0396] 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.

[0397] [Third Embodiment]

[0398] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0399] 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.

[0400] 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).

[0401] 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.

[0402] 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.

[0403] 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).

[0404] 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.

[0405] 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.

[0406] 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.

[0407] 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.

[0408] 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.

[0409] 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".

[0410] The system according to the present invention enables users to easily and efficiently plan and book their desired trips. First, the server receives the user's travel information and uses artificial intelligence to generate an optimal travel plan based on this information.

[0411] Based on the generated plan, the server creates a visually easy-to-understand short video for the user. This video includes highlights of the destination's attractions, activities, and accommodations, intuitively presenting the user with an overview of the trip. Once the video is complete, the server sends the video data to the user's device for review.

[0412] Users can review the travel plan presented in the video, and if they like it, they can select the booking details through their device. The server receives this selection, processes all the bookings included in the plan in one go, organizes all the booking information, and notifies the user.

[0413] For example, if a user wants to enjoy both "city sightseeing" and "nature experiences," the server can suggest a schedule based on this, such as visiting famous city attractions during the day and staying overnight in a quiet resort area. In this way, it is possible to improve the user's travel experience by suggesting personalized and efficient plans.

[0414] Furthermore, because the system centrally manages reservation information, users can complete their travel plans in one place without having to go through procedures on multiple websites. This eliminates the need for information gathering and time-consuming reservation work, and supports smoother travel preparation, which is a key feature of this invention.

[0415] The following describes the processing flow.

[0416] Step 1:

[0417] The user enters their travel destination, budget, dates, and activities of interest from their device, and the device sends this information to the server.

[0418] Step 2:

[0419] Based on the user information it receives, the server retrieves data from its database regarding tourist destinations, activities, accommodations, and other information related to the travel destination, and inputs it into an artificial intelligence model.

[0420] Step 3:

[0421] The server's artificial intelligence generates an optimal travel plan based on the user's preferences. This plan includes places to visit, the order of activities, and the duration of each activity.

[0422] Step 4:

[0423] The server automatically generates a visually easy-to-understand short video based on the travel plan it creates. The video includes highlights of the plan and footage of tourist attractions.

[0424] Step 5:

[0425] The server sends the generated short video data to the terminal, and the terminal presents it to the user.

[0426] Step 6:

[0427] Users view the video content through their device and select and confirm details such as suggested plans, activities, and accommodations.

[0428] Step 7:

[0429] The terminal resends the user's selected information to the server, which then processes all reservations in a batch based on this information.

[0430] Step 8:

[0431] The server organizes the confirmed reservation information and sends it to the user's device via the contact method specified by the user (e.g., LINE).

[0432] Step 9:

[0433] Users can check their booking information on their devices and share their travel plans and booking information with others as needed.

[0434] (Example 1)

[0435] 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."

[0436] In modern travel planning, travelers must spend a significant amount of time gathering information and making reservations, and the hassle and complexity of using multiple websites and platforms are problematic. Furthermore, because these processes are managed individually, it is difficult to create a consistent plan.

[0437] 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.

[0438] In this invention, the server includes means for collecting information about the user's travel, means for creating a travel plan based on the information using a generative model, and means for providing the generated travel plan in a short video format. This allows the user to visually confirm a consistent travel plan in a short time and proceed with the plan efficiently.

[0439] A "user" is an individual or group that wishes to create and book a travel plan through the system.

[0440] "Travel-related information" refers to data provided by users that is necessary for creating travel plans, such as destinations, dates, budgets, and areas of interest.

[0441] A "generative model" is an algorithm or framework that uses artificial intelligence technology to automatically generate travel plans.

[0442] A "travel plan" is a detailed itinerary that includes the travel destination, schedule, accommodation, and activities desired by the user.

[0443] A "short video" is a video content piece with a short time frame, created to visually present an overview of a travel plan.

[0444] "Reservation" refers to the act of securing arrangements for transportation, accommodation, activities, etc., based on a travel plan.

[0445] "Processing in batches" refers to the operation of managing and executing multiple reservations simultaneously, rather than individually.

[0446] This invention is a system that allows users to easily and efficiently plan and book their desired trips. Specifically, it is a system in which users input travel information via a terminal, and a server automatically generates an optimal travel plan based on that information.

[0447] The server first receives information entered by the user, such as destination, dates, budget, and interests. Based on this information, a generative AI model uses artificial intelligence technology to create a travel plan. This model works to propose an optimal plan tailored to the individual user's needs. An example of a prompt message is, "Create a travel plan based on the specified destination and interests."

[0448] Next, the server creates a short video based on the generated travel plan. It is expected that video editing software such as Adobe Premiere Pro will be used for this video production. The video will include important elements such as tourist spots, accommodations, and activities, allowing users to intuitively grasp the overall picture of the trip visually.

[0449] The completed short video is sent from the server to the user's device. The user can watch this video on their device, and if they are satisfied with the suggested travel plan, they can select various booking details based on that plan.

[0450] Based on user selections, the server communicates with external booking systems via APIs to arrange various reservations such as flights, accommodations, and activities all in one place. This allows users to manage the complex procedures of their travel planning in a single, unified manner.

[0451] As described above, this invention makes it possible to realize a system that allows for efficient travel planning and booking procedures, significantly reducing the effort required for information gathering and individual booking, and supporting smoother travel preparation.

[0452] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0453] Step 1:

[0454] The user enters travel information via their device. This includes details such as destination, dates, budget, and areas of interest. The entered information is stored in a database and sent to the server. The information is sent to the server when the user completes the input and presses the submit button.

[0455] Step 2:

[0456] The server analyzes the received travel information and generates an optimal travel plan using a generative AI model. It generates prompt messages based on input data (destination, dates, etc.) and inputs them into the AI ​​model to create the plan. The resulting output includes activity schedules and accommodation suggestions for each destination.

[0457] Step 3:

[0458] The server creates short videos based on the generated travel plan. Using video editing software, users select footage that matches their interests and arrange and edit it in the appropriate order. The input is travel plan data, and the output is a short video file.

[0459] Step 4:

[0460] The server sends the completed video to the terminal. The user can play the video on the terminal and visually confirm the contents of the provided travel plan. Here, a video file is sent to the terminal as input and then played.

[0461] Step 5:

[0462] The user has the option to view the plan on their device and select booking details. They choose a plan they like, select the details, and request a booking. This selection information is sent to the server, and the booking process proceeds.

[0463] Step 6:

[0464] The server processes reservations in batches based on user selections. Flight and accommodation arrangements are handled through integration with external systems via APIs. Input is user selection information, and output is reservation confirmation information.

[0465] Step 7:

[0466] The server compiles the final booking information and sends a notification to the device. The user can view the booking confirmation details on their device and confirm that their travel plans are ready. This notification provides the user with all booking information.

[0467] (Application Example 1)

[0468] 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."

[0469] Modern travelers want to plan and book their trips efficiently and visually. However, existing systems struggle to quickly and individually translate travel preferences into concrete travel plans, and the complexity of using multiple booking sites is a challenge. Therefore, there is a need for a system that allows users to intuitively view the overall picture of their trip in one place and complete bookings quickly.

[0470] 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.

[0471] In this invention, the server includes means for acquiring the user's travel preferences, means for creating a travel plan based on the travel preferences using a machine learning model, and means for providing the created travel plan in a video format that is easy to understand visually. This makes it easier for the user to intuitively understand the details of the trip and to complete everything from travel planning to booking in one go.

[0472] "Means for obtaining users' travel preferences" refers to a function that receives and records information based on the travel requirements, interests, and preferences of individual users.

[0473] "Means for creating a travel plan based on the aforementioned travel preferences using a machine learning model" refers to a function that analyzes travel preferences obtained using machine learning and plans the most suitable travel schedule and destinations.

[0474] "A means of providing the created travel plan in a visually easy-to-understand video format" refers to a function that visually presents the generated travel plan as a video so that users can easily grasp the details of their trip.

[0475] "A means of processing procedures in an integrated manner based on the provided plan" refers to a function that allows users to make all relevant reservations and procedures in one place based on the travel plan they have selected.

[0476] The system implementing this invention efficiently acquires the user's travel preferences and generates an optimal travel plan using artificial intelligence technology. The server first collects data from the user about their travel preferences and interests. This data is transmitted from the user's terminal and processed appropriately by the server.

[0477] Next, the server uses a machine learning model (e.g., Google Cloud Platform's machine learning service) based on the collected data to generate a travel plan. This machine learning model has the ability to analyze past travel data and related information to create an optimal travel schedule for each individual user.

[0478] The generated plan is converted into a short, visually easy-to-understand video format using video creation software such as Adobe Premiere Pro. At this stage, users can watch the video on their device and intuitively grasp the outline of the provided plan.

[0479] Once the user reviews the plan and makes their final selections, the server centrally processes all bookings included in the plan and completes the travel-related procedures. This process can utilize multiple booking systems, such as Booking.com, in an integrated manner.

[0480] As a concrete example, consider a scenario where a user inputs, "I want to take a family trip to a beach resort." In this case, the generative AI model selects the optimal resort location and creates a plan incorporating accommodations and activities based on that. The user then reviews and selects this plan, completing the travel booking in one go.

[0481] Examples of prompt statements for a generative AI model are as follows:

[0482] "Please generate a family trip plan to a beach resort. Include activities suitable for children. We prefer family-friendly accommodations."

[0483] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0484] Step 1:

[0485] The device retrieves travel preference data from the user. This data includes destinations, activities of interest, and preferred accommodations. This data is then sent to the server.

[0486] Step 2:

[0487] The server inputs the travel preference data it receives into a machine learning model. This model uses past travel data and destination details to generate the optimal travel schedule for the user. The model's output is returned to the server as a travel plan.

[0488] Step 3:

[0489] The server inputs the generated travel plan into a video creation tool (e.g., Adobe Premiere Pro) to convert it into visual content. This tool selects key elements from the generated plan and generates a short video based on them. The video visually summarizes the travel plan.

[0490] Step 4:

[0491] The server generates a video which is then sent to the user's device for playback. The user can visually review the travel plan outline and intuitively understand the provided options.

[0492] Step 5:

[0493] The user selects a plan they like and determines its details. The selection information from the device is sent to the server, which receives it.

[0494] Step 6:

[0495] The server integrates the booking process based on the selected travel plan. This process includes booking accommodations, transportation, and activities. Bookings are made in a single batch, and all booking information is compiled and notified to the user.

[0496] 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.

[0497] This invention provides a system that offers an optimal travel plan based on a user's travel information, while also achieving a higher level of personalization that takes the user's emotions into account. First, the user inputs their travel destination, budget, dates, and activities of interest from their device. In addition, an emotion engine analyzes the user's responses during and after input to acquire data on the user's emotional state.

[0498] The server receives input information from the user and emotional states from the emotion engine. The server inputs this data into an artificial intelligence model to generate an optimal travel plan tailored to the user's current emotions. This process considers not only the user's interests and desires, but also emotional information such as the stress and expectations the user is facing, to provide more personalized suggestions.

[0499] The generated travel plan is presented to the user in a visually easy-to-understand short video format. The server creates video content that responds to the user's emotions; for example, if the user is seeking relaxation, the video will focus on quiet scenic spots and relaxing activities. Furthermore, as the user views the video, the device continuously monitors the user's emotions and transmits them to the server in real time.

[0500] The user reviews the presented plan, selects the details if they like it, and proceeds with the booking process. The server processes the booking of related accommodations and activities in bulk based on the user's selection. Once the booking is complete, all information is notified to the user via their device.

[0501] For example, if a user wants to enjoy an adventure in a new place but also wants to relax, the server will present a plan that combines adventurous daytime activities with calming evening activities. By having the emotion engine identify the user's desire for excitement and relaxation, a personalized travel experience can be provided, improving user satisfaction.

[0502] Thus, by taking into account the user's emotions, the present invention not only proposes a plan that matches their wishes, but also achieves a high level of personalization that addresses the user's inner expectations and desires.

[0503] The following describes the processing flow.

[0504] Step 1:

[0505] The user uses the device to input their travel destination, budget, duration, and activities of interest. The device provides this information to an emotion engine, which analyzes the user's emotions at the time of input.

[0506] Step 2:

[0507] The emotion engine analyzes the user's facial expressions, tone of voice, and text input speed to determine the user's emotional state. The determined emotional data is then sent to the server via the device.

[0508] Step 3:

[0509] The server receives travel information and emotional data sent by the user. Using artificial intelligence, it generates a travel plan that suits the user's wishes and emotions. Based on the emotional data, for example, if the user is feeling stressed, it will create a plan that includes many relaxing activities.

[0510] Step 4:

[0511] The server creates a short video of the generated travel plan. This video includes information about tourist destinations and activities that are tailored to the user's emotions. The completed video data is then sent to the device.

[0512] Step 5:

[0513] The user watches a short video provided on their device. While watching, the device continuously monitors the user's reactions using an emotion engine and sends the results to the server.

[0514] Step 6:

[0515] If the user is satisfied with the plan and proceeds to review the details, the device sends that information to the server, and further adjustments to the plan are made based on the user's emotions. If any new emotional changes are detected, the plan content is optimized.

[0516] Step 7:

[0517] Based on the travel plan selected by the user, the server processes bulk bookings for accommodations and activities. The completed booking information is then notified to the user via their device.

[0518] Step 8:

[0519] Users can check the reservation information notified on their device and share this plan with other users if necessary.

[0520] (Example 2)

[0521] 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."

[0522] Traditional travel plan generation systems provide plans based on user interests and budgets, but lack the high level of personalization that responds to users' emotions and inner desires. This can lead to users being dissatisfied with the suggested plans, potentially lowering the quality of their travel experience. Furthermore, the information provided is static and cannot respond to real-time changes in users' emotions.

[0523] 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.

[0524] In this invention, the server includes means for collecting user travel information, means for analyzing the user's emotional state and acquiring it as data, and means for generating a travel plan based on the travel information and emotional state data using artificial intelligence. This makes it possible to provide the user with an optimal travel plan that meets their emotional needs in real time.

[0525] "User travel information" refers to data about travel destinations, budgets, dates, and activities of interest.

[0526] "User emotional state" refers to data that indicates the user's inner emotions and psychological state, analyzed from the user's facial expressions, voice tone, and other factors.

[0527] Artificial intelligence is a technology in which computer systems imitate human intellectual behavior, making decisions and generating information through data collection and analysis.

[0528] "Short video format" refers to a format of short video content designed to convey visual and audio information in a short amount of time.

[0529] "Processing reservations in bulk" means efficiently completing the booking process for accommodations and activities necessary for a travel plan all at once.

[0530] The embodiments for carrying out the present invention are described below.

[0531] This system provides personalized travel plans based on the user's travel information and emotional state data. To achieve this, the system primarily uses a terminal, a server, an artificial intelligence model, and an emotion engine. The terminal functions as an interface for collecting travel information from the user, allowing the user to input their travel destination, budget, dates, and activities of interest. Based on this information, the terminal uses the emotion engine to analyze the user's facial expressions and voice to acquire emotional data in order to analyze the user's emotional state.

[0532] The server receives travel information and emotional state data sent from the terminal and inputs it into an artificial intelligence model. This model is implemented using programming languages ​​and libraries such as Python and TensorFlow, and generates a travel plan through data analysis. This plan is designed to take the user's emotional state into account and be optimized according to the user's expected experience.

[0533] The generated travel plans are converted into short video formats using video editing software such as Adobe Premiere Pro or Final Cut Pro. This makes the plans visually easy to understand and present to the user. During the plan presentation, the device continuously monitors the user's reactions and sends them to the server, enabling real-time adjustments to the plan.

[0534] As a concrete example, consider a scenario where a user wants to enjoy an adventure in a new place, but also seeks relaxation. In this case, the server generates a plan that combines adventurous activities with relaxing time and presents it as a video. The emotion engine identifies the user's feelings of excitement and calmness and suggests a travel experience tailored to them.

[0535] An example of a prompt for a generative AI model is, "Generate a travel plan that combines relaxation and adventure, based on the user's emotional state data."

[0536] Thus, the present invention aims to improve the quality of the user's travel experience by dynamically responding to the user's emotions, thereby providing travel plans that meet a wide range of needs.

[0537] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0538] Step 1:

[0539] The device receives travel destination, budget, dates, and activities of interest from the user as input. This generates travel information data. The collected information is stored before being passed to the emotion engine.

[0540] Step 2:

[0541] The device analyzes the user's facial expressions and voice during input to acquire emotional state data. This analysis uses a camera and microphone, and emotions are read using real-time analysis techniques. The resulting emotional data is then sent to the server along with travel information data.

[0542] Step 3:

[0543] The server receives travel information data and emotional state data sent from the terminal as input. This data is fed into an artificial intelligence model, where data analysis and calculations are performed to generate the optimal travel plan. This includes data classification and pattern recognition, resulting in a personalized travel plan.

[0544] Step 4:

[0545] The server converts the generated travel plan into a visually easy-to-understand short video format. Using video editing software, it combines video and audio according to the plan content to create a format that will easily capture the user's interest. The completed video plan is then provided to the user.

[0546] Step 5:

[0547] The user reviews the travel plan presented in a video. During this time, the device continuously monitors the user's emotional responses and sends newly acquired emotional data to the server in real time. This allows the server to adjust the plan as needed.

[0548] Step 6:

[0549] If the user likes the presented plan, they can select details through their device and proceed with the booking process. Based on this selection, the server prepares to process the booking of related accommodations and activities in bulk.

[0550] Step 7:

[0551] The server notifies the user via their terminal once the reservation is complete and provides confirmation information. This process allows the user to understand the reservation details and proceed smoothly with travel preparations.

[0552] (Application Example 2)

[0553] 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."

[0554] Modern consumers tend to seek personalized experiences, but traditional plan generation systems failed to take into account the user's emotional state, making it impossible to provide suggestions optimized for their mood at any given time. Furthermore, suggestions based solely on attribute information struggled to meet the user's true needs.

[0555] 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.

[0556] In this invention, the server includes means for collecting user attribute information, means for analyzing the user's emotional state, and means for generating a plan based on the attribute information and emotional state using artificial intelligence. This makes it possible to provide a detailed plan that takes into account the user's real-time emotional state.

[0557] "Means of collecting user attribute information" refers to a system that acquires data such as a user's basic characteristics, preferences, and past behavioral history.

[0558] "Means for analyzing a user's emotional state" refers to technologies and devices that analyze a user's current emotions based on their facial expressions, behavior, and other indicators.

[0559] "Means for generating a plan based on attribute information and emotional state using artificial intelligence" refers to a process that uses a machine learning model to automatically design the optimal plan from collected attribute information and emotional state.

[0560] "Means of providing generated plans in a visual format" refers to a system that presents plan contents to users in a visual way that is easy to understand and intuitively grasp.

[0561] "A means of processing orders in bulk based on the provided plan" refers to a system that automatically processes all procedures related to the plan selected by the user.

[0562] The system for implementing this invention has a complex configuration for collecting and analyzing user attribute information and emotional state, and proposing an appropriate plan.

[0563] First, the user's device is a smartphone or tablet, and attribute information is obtained from the user through applications on the device. Furthermore, the camera and sensors are used to analyze the user's emotional state from their face, voice, etc. The software used for emotion analysis includes emotion recognition APIs such as Face++ and Amazon Rekognition.

[0564] Next, the information collected by the device is sent to a server via the internet. The server receives this data and uses a generative AI model to generate a customized plan based on the user's attribute information and emotional state. In this process, the OpenAI GPT model is utilized as the generative AI model.

[0565] Once a plan is generated, the server sends it to the user's device in a visually easy-to-understand format, such as images or simple animations. The user can then review the plan on their device and order related services or products by selecting their preferences. Based on the user's selections, the server processes the orders in batches and notifies the user of the confirmation.

[0566] This system allows users to receive the optimal action tailored to their emotional state at any given time, thereby improving their satisfaction with the experience.

[0567] As a concrete example, suppose a user using their smartphone on a holiday morning has their emotional state analyzed and it is determined that they are seeking relaxation. Based on this, the server suggests a breakfast plan at a cafe with calming background music. If the user accepts the suggestion, a cafe reservation is automatically made. An example of the prompt message in this case would be, "Please suggest the most suitable breakfast plan based on the user's desire to relax."

[0568] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0569] Step 1:

[0570] The user's device collects user attribute information through the application. Input at this stage includes the user's interests, preferences, and past behavioral history, which are obtained by the user answering forms and questions within the application. The output is a dataset containing this information, temporarily stored in a database on the device.

[0571] Step 2:

[0572] The device captures the user's face and voice using its built-in camera and microphone, and analyzes the user's emotional state via an emotion analysis API. The input is the captured image and audio data, which is then analyzed by an emotion recognition engine (e.g., Face++ or Amazon Rekognition). The output is the user's emotional state (e.g., relaxed, excited) as a result of the analysis.

[0573] Step 3:

[0574] The device sends the collected attribute information and analyzed emotional state to the server. The input for this step is the attribute information and emotional state data stored on the device. As output, this data is packaged and securely transmitted to the server over the internet.

[0575] Step 4:

[0576] The server generates a plan using a generative AI model based on attribute information and emotional state received from the user. The input is the submitted user information, and the generative AI model (e.g., OpenAI GPT) analyzes this data to design the optimal plan. The output is the details of the plan best suited to the user's state.

[0577] Step 5:

[0578] The server sends the generated plan to the user's device in a visually appealing format. The input is the generated plan, which is converted into an image or animation that the user can intuitively understand. The output is the display of the plan's visual content on the user's device.

[0579] Step 6:

[0580] The user reviews the plan via their device and places an order based on their preferences. The input is a visually displayed plan, confirming the options selected by the user. The output is the confirmed order based on the user's selections.

[0581] Step 7:

[0582] The server processes related orders in batches based on the user's selection and notifies the user of the details. The input is the user's order selection, and based on this, order information is generated and processed for various service providers. The output is the sending of reservation completion notifications, etc., to the user.

[0583] 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.

[0584] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0585] 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.

[0586] [Fourth Embodiment]

[0587] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0588] 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.

[0589] 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).

[0590] 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.

[0591] 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.

[0592] 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).

[0593] 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.

[0594] 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.

[0595] 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.

[0596] 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.

[0597] 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.

[0598] 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.

[0599] 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".

[0600] The system according to the present invention enables users to easily and efficiently plan and book their desired trips. First, the server receives the user's travel information and uses artificial intelligence to generate an optimal travel plan based on this information.

[0601] Based on the generated plan, the server creates a visually easy-to-understand short video for the user. This video includes highlights of the destination's attractions, activities, and accommodations, intuitively presenting the user with an overview of the trip. Once the video is complete, the server sends the video data to the user's device for review.

[0602] Users can review the travel plan presented in the video, and if they like it, they can select the booking details through their device. The server receives this selection, processes all the bookings included in the plan in one go, organizes all the booking information, and notifies the user.

[0603] For example, if a user wants to enjoy both "city sightseeing" and "nature experiences," the server can suggest a schedule based on this, such as visiting famous city attractions during the day and staying overnight in a quiet resort area. In this way, it is possible to improve the user's travel experience by suggesting personalized and efficient plans.

[0604] Furthermore, because the system centrally manages reservation information, users can complete their travel plans in one place without having to go through procedures on multiple websites. This eliminates the need for information gathering and time-consuming reservation work, and supports smoother travel preparation, which is a key feature of this invention.

[0605] The following describes the processing flow.

[0606] Step 1:

[0607] The user enters their travel destination, budget, dates, and activities of interest from their device, and the device sends this information to the server.

[0608] Step 2:

[0609] Based on the user information it receives, the server retrieves data from its database regarding tourist destinations, activities, accommodations, and other information related to the travel destination, and inputs it into an artificial intelligence model.

[0610] Step 3:

[0611] The server's artificial intelligence generates an optimal travel plan based on the user's preferences. This plan includes places to visit, the order of activities, and the duration of each activity.

[0612] Step 4:

[0613] The server automatically generates a visually easy-to-understand short video based on the travel plan it creates. The video includes highlights of the plan and footage of tourist attractions.

[0614] Step 5:

[0615] The server sends the generated short video data to the terminal, and the terminal presents it to the user.

[0616] Step 6:

[0617] Users view the video content through their device and select and confirm details such as suggested plans, activities, and accommodations.

[0618] Step 7:

[0619] The terminal resends the user's selected information to the server, which then processes all reservations in a batch based on this information.

[0620] Step 8:

[0621] The server organizes the confirmed reservation information and sends it to the user's device via the contact method specified by the user (e.g., LINE).

[0622] Step 9:

[0623] Users can check their booking information on their devices and share their travel plans and booking information with others as needed.

[0624] (Example 1)

[0625] 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".

[0626] In modern travel planning, travelers must spend a significant amount of time gathering information and making reservations, and the hassle and complexity of using multiple websites and platforms are problematic. Furthermore, because these processes are managed individually, it is difficult to create a consistent plan.

[0627] 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.

[0628] In this invention, the server includes means for collecting information about the user's travel, means for creating a travel plan based on the information using a generative model, and means for providing the generated travel plan in a short video format. This allows the user to visually confirm a consistent travel plan in a short time and proceed with the plan efficiently.

[0629] A "user" is an individual or group that wishes to create and book a travel plan through the system.

[0630] "Travel-related information" refers to data provided by users that is necessary for creating travel plans, such as destinations, dates, budgets, and areas of interest.

[0631] A "generative model" is an algorithm or framework that uses artificial intelligence technology to automatically generate travel plans.

[0632] A "travel plan" is a detailed itinerary that includes the travel destination, schedule, accommodation, and activities desired by the user.

[0633] A "short video" is a video content piece with a short time frame, created to visually present an overview of a travel plan.

[0634] "Reservation" refers to the act of securing arrangements for transportation, accommodation, activities, etc., based on a travel plan.

[0635] "Processing in batches" refers to the operation of managing and executing multiple reservations simultaneously, rather than individually.

[0636] This invention is a system that allows users to easily and efficiently plan and book their desired trips. Specifically, it is a system in which users input travel information via a terminal, and a server automatically generates an optimal travel plan based on that information.

[0637] The server first receives information entered by the user, such as destination, dates, budget, and interests. Based on this information, a generative AI model uses artificial intelligence technology to create a travel plan. This model works to propose an optimal plan tailored to the individual user's needs. An example of a prompt message is, "Create a travel plan based on the specified destination and interests."

[0638] Next, the server creates a short video based on the generated travel plan. It is expected that video editing software such as Adobe Premiere Pro will be used for this video production. The video will include important elements such as tourist spots, accommodations, and activities, allowing users to intuitively grasp the overall picture of the trip visually.

[0639] The completed short video is sent from the server to the user's device. The user can watch this video on their device, and if they are satisfied with the suggested travel plan, they can select various booking details based on that plan.

[0640] Based on user selections, the server communicates with external booking systems via APIs to arrange various reservations such as flights, accommodations, and activities all in one place. This allows users to manage the complex procedures of their travel planning in a single, unified manner.

[0641] As described above, this invention makes it possible to realize a system that allows for efficient travel planning and booking procedures, significantly reducing the effort required for information gathering and individual booking, and supporting smoother travel preparation.

[0642] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0643] Step 1:

[0644] The user enters travel information via their device. This includes details such as destination, dates, budget, and areas of interest. The entered information is stored in a database and sent to the server. The information is sent to the server when the user completes the input and presses the submit button.

[0645] Step 2:

[0646] The server analyzes the received travel information and generates an optimal travel plan using a generative AI model. It generates prompt messages based on input data (destination, dates, etc.) and inputs them into the AI ​​model to create the plan. The resulting output includes activity schedules and accommodation suggestions for each destination.

[0647] Step 3:

[0648] The server creates short videos based on the generated travel plan. Using video editing software, users select footage that matches their interests and arrange and edit it in the appropriate order. The input is travel plan data, and the output is a short video file.

[0649] Step 4:

[0650] The server sends the completed video to the terminal. The user can play the video on the terminal and visually confirm the contents of the provided travel plan. Here, a video file is sent to the terminal as input and then played.

[0651] Step 5:

[0652] The user has the option to view the plan on their device and select booking details. They choose a plan they like, select the details, and request a booking. This selection information is sent to the server, and the booking process proceeds.

[0653] Step 6:

[0654] The server processes reservations in batches based on user selections. Flight and accommodation arrangements are handled through integration with external systems via APIs. Input is user selection information, and output is reservation confirmation information.

[0655] Step 7:

[0656] The server compiles the final booking information and sends a notification to the device. The user can view the booking confirmation details on their device and confirm that their travel plans are ready. This notification provides the user with all booking information.

[0657] (Application Example 1)

[0658] 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".

[0659] Modern travelers want to plan and book their trips efficiently and visually. However, existing systems struggle to quickly and individually translate travel preferences into concrete travel plans, and the complexity of using multiple booking sites is a challenge. Therefore, there is a need for a system that allows users to intuitively view the overall picture of their trip in one place and complete bookings quickly.

[0660] 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.

[0661] In this invention, the server includes means for acquiring the user's travel preferences, means for creating a travel plan based on the travel preferences using a machine learning model, and means for providing the created travel plan in a video format that is easy to understand visually. This makes it easier for the user to intuitively understand the details of the trip and to complete everything from travel planning to booking in one go.

[0662] "Means for obtaining users' travel preferences" refers to a function that receives and records information based on the travel requirements, interests, and preferences of individual users.

[0663] "Means for creating a travel plan based on the aforementioned travel preferences using a machine learning model" refers to a function that analyzes travel preferences obtained using machine learning and plans the most suitable travel schedule and destinations.

[0664] "A means of providing the created travel plan in a visually easy-to-understand video format" refers to a function that visually presents the generated travel plan as a video so that users can easily grasp the details of their trip.

[0665] "A means of processing procedures in an integrated manner based on the provided plan" refers to a function that allows users to make all relevant reservations and procedures in one place based on the travel plan they have selected.

[0666] The system implementing this invention efficiently acquires the user's travel preferences and generates an optimal travel plan using artificial intelligence technology. The server first collects data from the user about their travel preferences and interests. This data is transmitted from the user's terminal and processed appropriately by the server.

[0667] Next, the server uses a machine learning model (e.g., Google Cloud Platform's machine learning service) based on the collected data to generate a travel plan. This machine learning model has the ability to analyze past travel data and related information to create an optimal travel schedule for each individual user.

[0668] The generated plan is converted into a short, visually easy-to-understand video format using video creation software such as Adobe Premiere Pro. At this stage, users can watch the video on their device and intuitively grasp the outline of the provided plan.

[0669] Once the user reviews the plan and makes their final selections, the server centrally processes all bookings included in the plan and completes the travel-related procedures. This process can utilize multiple booking systems, such as Booking.com, in an integrated manner.

[0670] As a concrete example, consider a scenario where a user inputs, "I want to take a family trip to a beach resort." In this case, the generative AI model selects the optimal resort location and creates a plan incorporating accommodations and activities based on that. The user then reviews and selects this plan, completing the travel booking in one go.

[0671] Examples of prompt statements for a generative AI model are as follows:

[0672] "Please generate a family trip plan to a beach resort. Include activities suitable for children. We prefer family-friendly accommodations."

[0673] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0674] Step 1:

[0675] The device retrieves travel preference data from the user. This data includes destinations, activities of interest, and preferred accommodations. This data is then sent to the server.

[0676] Step 2:

[0677] The server inputs the travel preference data it receives into a machine learning model. This model uses past travel data and destination details to generate the optimal travel schedule for the user. The model's output is returned to the server as a travel plan.

[0678] Step 3:

[0679] The server inputs the generated travel plan into a video creation tool (e.g., Adobe Premiere Pro) to convert it into visual content. This tool selects key elements from the generated plan and generates a short video based on them. The video visually summarizes the travel plan.

[0680] Step 4:

[0681] The server generates a video which is then sent to the user's device for playback. The user can visually review the travel plan outline and intuitively understand the provided options.

[0682] Step 5:

[0683] The user selects a plan they like and determines its details. The selection information from the device is sent to the server, which receives it.

[0684] Step 6:

[0685] The server integrates the booking process based on the selected travel plan. This process includes booking accommodations, transportation, and activities. Bookings are made in a single batch, and all booking information is compiled and notified to the user.

[0686] 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.

[0687] This invention provides a system that offers an optimal travel plan based on a user's travel information, while also achieving a higher level of personalization that takes the user's emotions into account. First, the user inputs their travel destination, budget, dates, and activities of interest from their device. In addition, an emotion engine analyzes the user's responses during and after input to acquire data on the user's emotional state.

[0688] The server receives input information from the user and emotional states from the emotion engine. The server inputs this data into an artificial intelligence model to generate an optimal travel plan tailored to the user's current emotions. This process considers not only the user's interests and desires, but also emotional information such as the stress and expectations the user is facing, to provide more personalized suggestions.

[0689] The generated travel plan is presented to the user in a visually easy-to-understand short video format. The server creates video content that responds to the user's emotions; for example, if the user is seeking relaxation, the video will focus on quiet scenic spots and relaxing activities. Furthermore, as the user views the video, the device continuously monitors the user's emotions and transmits them to the server in real time.

[0690] The user reviews the presented plan, selects the details if they like it, and proceeds with the booking process. The server processes the booking of related accommodations and activities in bulk based on the user's selection. Once the booking is complete, all information is notified to the user via their device.

[0691] For example, if a user wants to enjoy an adventure in a new place but also wants to relax, the server will present a plan that combines adventurous daytime activities with calming evening activities. By having the emotion engine identify the user's desire for excitement and relaxation, a personalized travel experience can be provided, improving user satisfaction.

[0692] Thus, by taking into account the user's emotions, the present invention not only proposes a plan that matches their wishes, but also achieves a high level of personalization that addresses the user's inner expectations and desires.

[0693] The following describes the processing flow.

[0694] Step 1:

[0695] The user uses the device to input their travel destination, budget, duration, and activities of interest. The device provides this information to an emotion engine, which analyzes the user's emotions at the time of input.

[0696] Step 2:

[0697] The emotion engine analyzes the user's facial expressions, tone of voice, and text input speed to determine the user's emotional state. The determined emotional data is then sent to the server via the device.

[0698] Step 3:

[0699] The server receives travel information and emotional data sent by the user. Using artificial intelligence, it generates a travel plan that suits the user's wishes and emotions. Based on the emotional data, for example, if the user is feeling stressed, it will create a plan that includes many relaxing activities.

[0700] Step 4:

[0701] The server creates a short video of the generated travel plan. This video includes information about tourist destinations and activities that are tailored to the user's emotions. The completed video data is then sent to the device.

[0702] Step 5:

[0703] The user watches a short video provided on their device. While watching, the device continuously monitors the user's reactions using an emotion engine and sends the results to the server.

[0704] Step 6:

[0705] If the user is satisfied with the plan and proceeds to review the details, the device sends that information to the server, and further adjustments to the plan are made based on the user's emotions. If any new emotional changes are detected, the plan content is optimized.

[0706] Step 7:

[0707] Based on the travel plan selected by the user, the server processes bulk bookings for accommodations and activities. The completed booking information is then notified to the user via their device.

[0708] Step 8:

[0709] Users can check the reservation information notified on their device and share this plan with other users if necessary.

[0710] (Example 2)

[0711] 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".

[0712] Traditional travel plan generation systems provide plans based on user interests and budgets, but lack the high level of personalization that responds to users' emotions and inner desires. This can lead to users being dissatisfied with the suggested plans, potentially lowering the quality of their travel experience. Furthermore, the information provided is static and cannot respond to real-time changes in users' emotions.

[0713] 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.

[0714] In this invention, the server includes means for collecting user travel information, means for analyzing the user's emotional state and acquiring it as data, and means for generating a travel plan based on the travel information and emotional state data using artificial intelligence. This makes it possible to provide the user with an optimal travel plan that meets their emotional needs in real time.

[0715] "User travel information" refers to data about travel destinations, budgets, dates, and activities of interest.

[0716] "User emotional state" refers to data that indicates the user's inner emotions and psychological state, analyzed from the user's facial expressions, voice tone, and other factors.

[0717] Artificial intelligence is a technology in which computer systems imitate human intellectual behavior, making decisions and generating information through data collection and analysis.

[0718] "Short video format" refers to a format of short video content designed to convey visual and audio information in a short amount of time.

[0719] "Processing reservations in bulk" means efficiently completing the booking process for accommodations and activities necessary for a travel plan all at once.

[0720] The embodiments for carrying out the present invention are described below.

[0721] This system provides personalized travel plans based on the user's travel information and emotional state data. To achieve this, the system primarily uses a terminal, a server, an artificial intelligence model, and an emotion engine. The terminal functions as an interface for collecting travel information from the user, allowing the user to input their travel destination, budget, dates, and activities of interest. Based on this information, the terminal uses the emotion engine to analyze the user's facial expressions and voice to acquire emotional data in order to analyze the user's emotional state.

[0722] The server receives travel information and emotional state data sent from the terminal and inputs it into an artificial intelligence model. This model is implemented using programming languages ​​and libraries such as Python and TensorFlow, and generates a travel plan through data analysis. This plan is designed to take the user's emotional state into account and be optimized according to the user's expected experience.

[0723] The generated travel plans are converted into short video formats using video editing software such as Adobe Premiere Pro or Final Cut Pro. This makes the plans visually easy to understand and present to the user. During the plan presentation, the device continuously monitors the user's reactions and sends them to the server, enabling real-time adjustments to the plan.

[0724] As a concrete example, consider a scenario where a user wants to enjoy an adventure in a new place, but also seeks relaxation. In this case, the server generates a plan that combines adventurous activities with relaxing time and presents it as a video. The emotion engine identifies the user's feelings of excitement and calmness and suggests a travel experience tailored to them.

[0725] An example of a prompt for a generative AI model is, "Generate a travel plan that combines relaxation and adventure, based on the user's emotional state data."

[0726] Thus, the present invention aims to improve the quality of the user's travel experience by dynamically responding to the user's emotions, thereby providing travel plans that meet a wide range of needs.

[0727] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0728] Step 1:

[0729] The device receives travel destination, budget, dates, and activities of interest from the user as input. This generates travel information data. The collected information is stored before being passed to the emotion engine.

[0730] Step 2:

[0731] The device analyzes the user's facial expressions and voice during input to acquire emotional state data. This analysis uses a camera and microphone, and emotions are read using real-time analysis techniques. The resulting emotional data is then sent to the server along with travel information data.

[0732] Step 3:

[0733] The server receives travel information data and emotional state data sent from the terminal as input. This data is fed into an artificial intelligence model, where data analysis and calculations are performed to generate the optimal travel plan. This includes data classification and pattern recognition, resulting in a personalized travel plan.

[0734] Step 4:

[0735] The server converts the generated travel plan into a visually easy-to-understand short video format. Using video editing software, it combines video and audio according to the plan content to create a format that will easily capture the user's interest. The completed video plan is then provided to the user.

[0736] Step 5:

[0737] The user reviews the travel plan presented in a video. During this time, the device continuously monitors the user's emotional responses and sends newly acquired emotional data to the server in real time. This allows the server to adjust the plan as needed.

[0738] Step 6:

[0739] If the user likes the presented plan, they can select details through their device and proceed with the booking process. Based on this selection, the server prepares to process the booking of related accommodations and activities in bulk.

[0740] Step 7:

[0741] The server notifies the user via their terminal once the reservation is complete and provides confirmation information. This process allows the user to understand the reservation details and proceed smoothly with travel preparations.

[0742] (Application Example 2)

[0743] 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".

[0744] Modern consumers tend to seek personalized experiences, but traditional plan generation systems failed to take into account the user's emotional state, making it impossible to provide suggestions optimized for their mood at any given time. Furthermore, suggestions based solely on attribute information struggled to meet the user's true needs.

[0745] 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.

[0746] In this invention, the server includes means for collecting user attribute information, means for analyzing the user's emotional state, and means for generating a plan based on the attribute information and emotional state using artificial intelligence. This makes it possible to provide a detailed plan that takes into account the user's real-time emotional state.

[0747] "Means of collecting user attribute information" refers to a system that acquires data such as a user's basic characteristics, preferences, and past behavioral history.

[0748] "Means for analyzing a user's emotional state" refers to technologies and devices that analyze a user's current emotions based on their facial expressions, behavior, and other indicators.

[0749] "Means for generating a plan based on attribute information and emotional state using artificial intelligence" refers to a process that uses a machine learning model to automatically design the optimal plan from collected attribute information and emotional state.

[0750] "Means of providing generated plans in a visual format" refers to a system that presents plan contents to users in a visual way that is easy to understand and intuitively grasp.

[0751] "A means of processing orders in bulk based on the provided plan" refers to a system that automatically processes all procedures related to the plan selected by the user.

[0752] The system for implementing this invention has a complex configuration for collecting and analyzing user attribute information and emotional state, and proposing an appropriate plan.

[0753] First, the user's device is a smartphone or tablet, and attribute information is obtained from the user through applications on the device. Furthermore, the camera and sensors are used to analyze the user's emotional state from their face, voice, etc. The software used for emotion analysis includes emotion recognition APIs such as Face++ and Amazon Rekognition.

[0754] Next, the information collected by the device is sent to a server via the internet. The server receives this data and uses a generative AI model to generate a customized plan based on the user's attribute information and emotional state. In this process, the OpenAI GPT model is utilized as the generative AI model.

[0755] Once a plan is generated, the server sends it to the user's device in a visually easy-to-understand format, such as images or simple animations. The user can then review the plan on their device and order related services or products by selecting their preferences. Based on the user's selections, the server processes the orders in batches and notifies the user of the confirmation.

[0756] This system allows users to receive the optimal action tailored to their emotional state at any given time, thereby improving their satisfaction with the experience.

[0757] As a concrete example, suppose a user using their smartphone on a holiday morning has their emotional state analyzed and it is determined that they are seeking relaxation. Based on this, the server suggests a breakfast plan at a cafe with calming background music. If the user accepts the suggestion, a cafe reservation is automatically made. An example of the prompt message in this case would be, "Please suggest the most suitable breakfast plan based on the user's desire to relax."

[0758] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0759] Step 1:

[0760] The user's device collects user attribute information through the application. Input at this stage includes the user's interests, preferences, and past behavioral history, which are obtained by the user answering forms and questions within the application. The output is a dataset containing this information, temporarily stored in a database on the device.

[0761] Step 2:

[0762] The device captures the user's face and voice using its built-in camera and microphone, and analyzes the user's emotional state via an emotion analysis API. The input is the captured image and audio data, which is then analyzed by an emotion recognition engine (e.g., Face++ or Amazon Rekognition). The output is the user's emotional state (e.g., relaxed, excited) as a result of the analysis.

[0763] Step 3:

[0764] The device sends the collected attribute information and analyzed emotional state to the server. The input for this step is the attribute information and emotional state data stored on the device. As output, this data is packaged and securely transmitted to the server over the internet.

[0765] Step 4:

[0766] The server generates a plan using a generative AI model based on attribute information and emotional state received from the user. The input is the submitted user information, and the generative AI model (e.g., OpenAI GPT) analyzes this data to design the optimal plan. The output is the details of the plan best suited to the user's state.

[0767] Step 5:

[0768] The server sends the generated plan to the user's device in a visually appealing format. The input is the generated plan, which is converted into an image or animation that the user can intuitively understand. The output is the display of the plan's visual content on the user's device.

[0769] Step 6:

[0770] The user reviews the plan via their device and places an order based on their preferences. The input is a visually displayed plan, confirming the options selected by the user. The output is the confirmed order based on the user's selections.

[0771] Step 7:

[0772] The server processes related orders in batches based on the user's selection and notifies the user of the details. The input is the user's order selection, and based on this, order information is generated and processed for various service providers. The output is the sending of reservation completion notifications, etc., to the user.

[0773] 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.

[0774] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0775] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0776] 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.

[0777] 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.

[0778] 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.

[0779] 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.

[0780] 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.

[0781] 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."

[0782] 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.

[0783] 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.

[0784] 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.

[0785] 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.

[0786] 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.

[0787] 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.

[0788] 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.

[0789] 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.

[0790] 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.

[0791] 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.

[0792] 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.

[0793] 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.

[0794] The following is further disclosed regarding the embodiments described above.

[0795] (Claim 1)

[0796] Means of collecting user travel information,

[0797] A means for generating a travel plan based on the aforementioned travel information using artificial intelligence,

[0798] A means of providing the generated travel plan in short video format,

[0799] A means of processing reservations in bulk based on the provided plan,

[0800] A system that includes this.

[0801] (Claim 2)

[0802] The system according to claim 1, comprising means for including information about tourist destinations and activities in the generated short video.

[0803] (Claim 3)

[0804] The system according to claim 1, further comprising means for notifying the user of generated travel plans and reservation information and making them shareable with other users.

[0805] "Example 1"

[0806] (Claim 1)

[0807] Means of collecting information about users' travels,

[0808] A means for creating a travel plan based on the aforementioned information using a generative model,

[0809] A means of providing the generated travel plan in a short video format,

[0810] A means for users to review their travel plans and select their desired details,

[0811] A means of processing reservations in bulk based on selected details,

[0812] A system that includes this.

[0813] (Claim 2)

[0814] The system according to claim 1, comprising means for including information on tourist spots and activities at a visited location in a short video.

[0815] (Claim 3)

[0816] The system according to claim 1, comprising means for notifying the user of generated travel plans and reservation information and for making it shareable with other users.

[0817] "Application Example 1"

[0818] (Claim 1)

[0819] A means of obtaining the user's travel preferences,

[0820] A means for creating a travel plan based on the aforementioned travel preferences using a machine learning model,

[0821] A means of providing the created travel plan in a video format that is easy to understand visually,

[0822] A means of integrating the processing of procedures based on the provided plan,

[0823] A system with a configuration that includes this.

[0824] (Claim 2)

[0825] The system according to claim 1, comprising means for incorporating tourist destination and activity information into the created video, and having a function for playing the video.

[0826] (Claim 3)

[0827] The system according to claim 1, which has a function to notify the user of the created travel plan and procedure information and to make it shareable with other users.

[0828] "Example 2 of combining an emotion engine"

[0829] (Claim 1)

[0830] Means for collecting user travel information,

[0831] A means of analyzing and acquiring data on the user's emotional state,

[0832] A means for generating a travel plan based on the aforementioned travel information and emotional state data using artificial intelligence,

[0833] A means of visually presenting the generated travel plan in short video format,

[0834] A means of adjusting video content according to the user's emotional state,

[0835] A means of processing reservations in bulk based on the provided plan,

[0836] A system that includes this.

[0837] (Claim 2)

[0838] The system according to claim 1, comprising means for including information on sightseeing and activities at the destination in the generated short video.

[0839] (Claim 3)

[0840] The system according to claim 1, comprising means for notifying the user of the generated travel plan and reservation information and making it shareable with other users.

[0841] "Application example 2 when combining with an emotional engine"

[0842] (Claim 1)

[0843] Means for collecting user attribute information,

[0844] A means of analyzing the emotional state of users,

[0845] A means for generating a plan based on the attribute information and emotional state using artificial intelligence,

[0846] A means of providing the generated plan in a visual format,

[0847] A means of processing orders in bulk based on the provided plan,

[0848] A system that includes this.

[0849] (Claim 2)

[0850] The system according to claim 1, comprising means for including information of choices in the generated visual format.

[0851] (Claim 3)

[0852] The system according to claim 1, comprising means for notifying the user of the generated plan and order information and making it shareable with other users. [Explanation of symbols]

[0853] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. Means of collecting user travel information, A means for generating a travel plan based on the aforementioned travel information using artificial intelligence, A means of providing the generated travel plan in short video format, A means of processing reservations in bulk based on the provided plan, A system that includes this.

2. The system according to claim 1, comprising means for including information about tourist destinations and activities in the generated short video.

3. The system according to claim 1, further comprising means for notifying the user of generated travel plans and reservation information and making them shareable with other users.

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