system

Abstract

We provide the system. [Solution] A device that receives traveler's preferred itinerary information, A device that collects real-time information on transportation schedules, facility operating hours, and reservation availability via the internet, A device that generates a comprehensive and optimized travel plan based on the aforementioned desired information and collected information, A device that transmits the generated travel plan to the traveler's device, enabling confirmation and adjustment, A device that performs the booking procedure for selected services and products based on the travel plan, A device that links with tourism information for a specific region to provide visitors with the most suitable travel routes and tourist destination information in real time, A system that includes this.

Description

Technical Field

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

Background Art

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] When a traveler plans a trip, it is difficult to efficiently collect necessary information from a vast amount of information about the destination and places to visit and make a schedule. In addition, it takes time to check the schedules of transportation facilities, business hours of facilities, and reservation status one by one, so the burden at the planning stage is large, and there is a need to improve the efficiency of planning. Furthermore, it is also a problem that it is difficult to respond smoothly when a schedule change occurs during the trip.

Means for Solving the Problems

[0005] This invention provides a system that automatically generates an optimized travel itinerary by integrating real-time transportation timetables, facility operating hours, and reservation availability information obtained via the internet, based on traveler preferences. The system displays the generated travel itinerary on the user's terminal, allowing for confirmation and adjustment. It also streamlines travel planning by automatically executing reservation procedures for selected services and products based on the travel itinerary. Furthermore, it supports travel planning and execution by incorporating functions to accept additional requests from travelers, dynamically adjust the travel itinerary, and manage reservation information in conjunction with multiple external systems.

[0006] A "traveler" refers to an individual or group that plans a trip and visits a destination.

[0007] "Desired information" refers to information such as the destination, activities, budget, length of stay, and mode of transportation that travelers desire when planning their trip.

[0008] "Terminal" refers to information processing devices such as computers, smartphones, and tablets used by travelers.

[0009] "Timetable information" refers to information about the operating times and routes of public transportation.

[0010] "Business hours information" refers to information about the hours during which a store or facility is open for business.

[0011] "Availability information" refers to information regarding the availability and reservation status of travel-related services and facilities.

[0012] A "travel itinerary" refers to a schedule of activities and destinations planned based on the traveler's preferences.

[0013] "Reservation process" refers to a series of procedures that travelers follow to confirm their selection of services and facilities.

[0014] "External systems" refer to other systems or services that interact with this system to acquire, transmit, and update information. [Brief explanation of the drawing]

[0015] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14]It is a sequence diagram showing the processing flow of a data processing system in Application Example 2 when a sentiment engine is combined.

Embodiments for Carrying Out the Invention

[0016] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

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

[0018] In the following embodiments, a numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

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

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

[0021] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0022] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0023] [First Embodiment]

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

[0025] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0026] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0027] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0028] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0029] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0030] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

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

[0032] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0033] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0034] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0035] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0036] This invention is a system that automatically generates an optimal travel plan based on the traveler's desired travel information and provides comprehensive support up to the booking process. This system mainly consists of the following elements: The traveler inputs their desired travel information using a terminal, and the server receives this information. The server collects real-time information on transportation timetables, facility opening hours, and booking availability via the internet.

[0037] The server generates an optimized travel itinerary based on the collected information and the traveler's preferences, and sends this itinerary to the traveler's device. The itinerary will include destinations and activities that reflect the user's interests and preferences. The traveler reviews this itinerary on their device and makes adjustments as needed. Furthermore, if the traveler selects specific activities or facilities, the server executes the associated booking procedures.

[0038] Furthermore, if the server receives additional requests from travelers, it dynamically modifies existing travel itineraries to generate the latest schedule. In this process, the server interacts with multiple external systems to manage and update booking information. This allows travelers to plan and execute their trips without stress.

[0039] To give a concrete example, a traveler enters information into their device such as "3-day city tour," "desires nature walks and local cuisine experiences," and "moderate budget." The server receives this information and retrieves data on transportation and tourist facilities within the city. It then creates an optimal itinerary, including the order of visits and travel plans tailored to each day, and sends it to the device. The traveler can then view this plan, confirm the availability of restaurants of interest, and make reservations with a single click. This allows travelers to enjoy a seamless experience from the planning stage to the execution stage.

[0040] The following describes the processing flow.

[0041] Step 1:

[0042] The user enters their travel preferences using a device. Here, they specify details such as destinations, travel duration, budget, and activities of interest.

[0043] Step 2:

[0044] The terminal sends the entered information to the server. The server receives this information and recognizes it as a target for processing.

[0045] Step 3:

[0046] The server collects real-time transportation schedules, facility operating hours, and reservation availability information for the specified destination via the internet. This data collection utilizes public transportation APIs and official facility websites.

[0047] Step 4:

[0048] Based on the information collected by the server, an optimized travel itinerary tailored to the user's preferences is generated. This takes into account factors such as the efficiency of travel and the combination of popular local activities within the budget.

[0049] Step 5:

[0050] The server sends the generated travel itinerary to the user's device. The user reviews the itinerary on their device and requests any necessary corrections if they are not satisfied.

[0051] Step 6:

[0052] Based on the activity and facility selected by the user, the server uses an external reservation system to execute the reservation process.

[0053] Step 7:

[0054] After all planning and bookings are complete, the server sends the final travel plan to the user's device and prompts them for confirmation. The user can then review the final plan through their device and prepare for their trip.

[0055] (Example 1)

[0056] 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."

[0057] Modern travelers face the challenge of planning trips that accommodate complex and diverse needs, while the associated information gathering and procedures are burdensome. Furthermore, responding to sudden changes in plans is difficult. There is a need for systems that enable simpler and more flexible travel planning and execution.

[0058] 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.

[0059] In this invention, the server includes means for receiving travel preference information entered by travelers, means for collecting public transport timetable information, facility usage time information, and available information in real time via the internet, and means for generating an optimized travel itinerary using a generative model. This enables the creation of realistic and rapid travel plans that meet the diverse needs of travelers, as well as dynamic itinerary adjustments.

[0060] A "traveler" refers to an individual or group that plans a trip for the purpose of travel.

[0061] "Desired information" refers to the data of requests and conditions that travelers enter when planning their trip.

[0062] "Public transport" refers to means of transportation used by the general public, such as buses, trains, and airplanes.

[0063] "Timetable information" refers to data related to the operating schedules of public transportation.

[0064] A "facility" refers to a place or building that travelers are expected to visit.

[0065] "Usage time information" refers to data regarding the time periods during which a particular facility is available.

[0066] "Availability information" refers to data regarding the status of a particular service, facility, or activity as being available for booking or use.

[0067] A "generative model" refers to a machine learning or computational algorithm that generates the optimal solution using input data.

[0068] "Optimization" refers to the process of obtaining the most efficient or effective result under given conditions.

[0069] A "travel itinerary" refers to a schedule planned based on the traveler's wishes and preferences.

[0070] A "terminal" refers to an electronic device used by travelers to input, verify, and operate information.

[0071] "Reservation process" refers to a series of actions or system operations that travelers use to secure or utilize a specific service or product.

[0072] "External devices" refer to devices or networks that exist outside the system and are involved in the collection, management, and updating of information.

[0073] "Dynamically" refers to a state in which things are flexibly responded to, updated, or modified in response to changes in circumstances or conditions.

[0074] In this invention, the user first uses a terminal to input travel preference information. This terminal has a travel planning application installed, allowing the user to specify the number of days, budget, type of destination (e.g., nature walk, city sightseeing), etc., on the screen. The entered information is then transmitted from the terminal to the server.

[0075] Based on the information received, the server uses a generative AI model to generate prompt messages. For example, if a user inputs, "I would like a 3-day city tour, including nature walks and local cuisine experiences. My budget is moderate," this information will be sent to the AI ​​model as a prompt message.

[0076] The server will interact with public APIs and reservation systems, for example, to collect up-to-date data on public transport operations, facility operating hours, and available services via the internet. Based on the collected data, an optimized travel itinerary will be created by a generative AI model. This process will utilize scheduling algorithms and machine learning techniques. Required technologies include securing computing resources and managing data storage, which are expected to involve virtual servers and cloud services.

[0077] The generated travel plan is sent to the user's device, where they can view it in a browser or application. If necessary, the user can adjust the plan and make reservations for specific restaurants or attractions on their device. The server automatically processes the reservations and updates the details based on the user's selections.

[0078] This series of operations allows users to experience seamless and easy travel planning. The system features flexible planning capabilities that cater to diverse user needs.

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

[0080] Step 1:

[0081] The user enters travel preferences using their device. Specifically, the user accesses a form on their device screen and enters information such as the number of days of travel, the type of places they wish to visit (e.g., nature, cultural sites), and their budget. The input data is sent from the device to the server as material for generating prompt messages, which are then generated.

[0082] Step 2:

[0083] The server analyzes the request information received from the user and inputs it into an AI model that generates prompt messages. Specifically, the server analyzes the request information and converts it into a prompt message format. For example, if the user has conditions such as "desiring a 3-day trip," "city sightseeing," and "medium budget," it will generate a prompt message such as, "I would like a 3-day city sightseeing trip, and please propose a plan that includes nature walks and local cuisine experiences. The budget is set to medium."

[0084] Step 3:

[0085] The server collects real-time information on transportation services, facility operating hours, and available services via the internet. Specifically, the server retrieves the latest transportation information from external public APIs, and also obtains information on opening and closing times for facilities and accommodations, as well as the status of available services. After collection, this information is stored in a database and subjected to data processing.

[0086] Step 4:

[0087] The server uses an AI model to generate data, which is then combined with the user's preferences to create an optimized travel itinerary. Specifically, the server inputs prompts and collected data into the AI ​​model to optimize the schedule. This process also takes into account minimizing travel time and costs between different destinations. The output is then sent to the terminal as an optimized travel plan.

[0088] Step 5:

[0089] Users can review their travel plans on their devices and make any necessary adjustments. Specifically, they can view daily schedules and destination information on their devices and select their favorite restaurants and sightseeing spots. If any elements are selected, the server proceeds with the reservation process for those items.

[0090] Step 6:

[0091] The server automatically executes the booking process based on the user's selection. Specifically, for the selected activities and facilities, the server accesses an external booking system to confirm the reservation. Once the reservation is complete, the information is notified to the user's device and reflected in their travel plan.

[0092] Step 7:

[0093] When a user enters an additional request, the server dynamically updates the existing travel itinerary. Specifically, if the user wishes to add a different date or destination, the server again gathers external information and generates a new, optimized schedule via a generative AI model. This updated plan is then transferred to the device.

[0094] (Application Example 1)

[0095] 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."

[0096] Modern travelers seek to efficiently obtain information about the regions they visit and demand immediacy and flexibility when planning their trips. However, conventional travel planning systems fail to fully utilize real-time local information, making it difficult to provide travelers with the optimal travel experience tailored to their needs. As a result, travelers often experience uncertainty and stress regarding tourist information and facility reservations. This invention aims to solve these problems.

[0097] 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.

[0098] In this invention, the server includes a device for receiving desired itinerary information entered by travelers, a device for collecting real-time information on transportation schedules, facility operating hours, and reservation availability via the internet, and a device for providing visitors with real-time optimal travel routes and tourist destination information in conjunction with tourist information for a specific region. This enables travelers to plan their trips efficiently and flexibly based on real-time local information and enjoy a comfortable sightseeing experience.

[0099] A "traveler" is an individual who visits or plans a region for the purpose of travel or sightseeing.

[0100] "Desired information" refers to the requests and conditions that travelers have regarding their trip, and includes specific data such as places they want to visit, their budget, and the length of their stay.

[0101] The term "device" refers to a system of hardware or software designed to perform a specific function.

[0102] "Via the Internet" is a phrase that describes the process of transmitting and receiving information using a global communication network.

[0103] "Real-time" refers to a state or process where information is processed instantly the moment it is sent or received.

[0104] "Transportation timetable information" refers to information regarding the operating schedules of public transport and other modes of transportation.

[0105] "Facility operating hours information" refers to information about the hours during which a particular facility is open to the general public.

[0106] "Reservation availability information" refers to information indicating whether it is possible to reserve services or goods in advance.

[0107] A "travel plan" is a proposed itinerary that includes destinations, travel routes, and schedules, based on the traveler's wishes and external conditions.

[0108] "Tourism information" includes data about tourist destinations and events, providing information that is useful for travelers' activities and transportation at their destinations.

[0109] A "travel route" refers to the path or means of transport used by a traveler when moving between destinations.

[0110] The system implementing this invention consists of a robust server infrastructure for receiving desired information from travelers and collecting and analyzing real-time data on transportation and facilities, and user terminals for interactively exchanging information with travelers. The server can use "Linux®" or "Windows Server," and programs are executed using "Python" or "Java®" in this environment.

[0111] The server first receives specific travel preference information entered by the user on their device. This information includes destination, duration, budget, and activities of interest. Based on this data, the server aggregates transportation timetables, facility operating hours, and reservation availability information via the internet. This can be done by utilizing external APIs and databases, such as using services like "Google® Maps API" or "OpenWeatherMap."

[0112] After the information is aggregated, the server uses a generative AI model to optimize the travel plan. The generative AI model analyzes a large amount of tourist information and the user's past data to suggest the optimal order of destinations and travel routes. This tourist information includes recommended spots and events in specific regions, and candidates that are most likely to interest the user are selected as recommendations.

[0113] An application running on iOS or Android® is installed on the user's device, and the generated travel plan is displayed interactively. Users can check the plan using their device and make changes or adjustments on the spot as needed, and the updated information is reflected on the server in real time.

[0114] As a concrete example, suppose a traveler requests a "3-day city tour" and simultaneously wants to "experience nature walks and local cuisine." Based on this, the server searches for information on all transportation options and tourist facilities within the city and proposes the optimal itinerary. The user can then review this proposal on their smartphone and easily book the activities that interest them.

[0115] Examples of prompt statements include:

[0116] "A user is requesting a sightseeing plan for Sydney. Please create a system that proposes an efficient 3-day travel plan covering major tourist attractions and handles the necessary booking procedures. In particular, please consider optimizing transportation convenience and participation in local events."

[0117] The following are possible contents.

[0118] In this way, travelers can experience a smooth process from planning to execution.

[0119] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0120] Step 1:

[0121] The user enters their travel preferences into the device.

[0122] The input includes travel destination, desired activities, budget, and itinerary. The device sends this information to the server. The output of this process is structured traveler preference data.

[0123] Step 2:

[0124] The server analyzes the received request data and collects relevant transportation schedules, facility operating hours, and reservation availability information via the internet.

[0125] The input is the user's desired data, which is used to retrieve real-time information related to the destination from databases and external APIs. The output is a dataset that integrates all of this information.

[0126] Step 3:

[0127] The server utilizes a generative AI model to generate the optimal travel plan based on collected information and desired data.

[0128] The input here is an integrated dataset, and the AI ​​model determines the order of destinations and travel routes, outputting an optimized travel plan.

[0129] Step 4:

[0130] The server sends the generated travel plan to the user's terminal.

[0131] The input is an optimized travel plan, and the output is schedule information visualized in an application on the user's device. The user then uses this to refine the travel plan and make any necessary adjustments on their device.

[0132] Step 5:

[0133] Users can use their devices to finalize their travel plans and request necessary bookings.

[0134] The input is the confirmed travel plan, and the output is the details of the reservations to be made. The terminal sends this information to the server.

[0135] Step 6:

[0136] The server will book services and secure goods based on the finalized plan.

[0137] This involves making reservations for necessary facilities and services through communication with the reservation platform. The input here is confirmation information from the user, and the output is a reservation completion notification.

[0138] Step 7:

[0139] The server sends the booking information to the terminal and visually presents the final travel plan.

[0140] The final output is a display on the device showing the entire travel itinerary and confirmed booking details. The user can then confirm this on the device and be ready to proceed with their trip.

[0141] 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.

[0142] This invention extends conventional systems that generate optimal travel plans based on travelers' preferences, providing a system that dynamically offers travel plans that take into account the traveler's emotional state. The system transmits information entered through the traveler's terminal to a server, which then creates a travel schedule based on that information. The process begins with the server collecting real-time transportation timetables, facility opening hours, and reservation availability information via the internet.

[0143] The newly added emotion engine recognizes emotions through voice, text, and gesture data acquired from the user's device, and adjusts the travel information and suggestions provided based on those emotions. This engine analyzes the user's emotional state from different types of sensor data and user interface responses. For example, it can change the plan suggestions depending on whether the user appears cheerful or tired.

[0144] As a concrete example, suppose a user enters travel information on their device and requests, "I want a relaxing trip even though I'm busy." The server generates a basic travel plan, and at the same time, the emotion engine recognizes the user's recent stress level. For example, if the user speaks quickly and their voice tone is tense, the server adjusts the suggested plan to include relaxation-focused spa treatments and leisurely travel time.

[0145] This invention makes it possible to provide customized travel experiences tailored to the emotions and circumstances of individual travelers, thereby increasing their satisfaction during their trips. This entire process is carried out collaboratively by a server, terminal, and emotion engine, ensuring that users can enjoy planning and executing their trips without stress.

[0146] The following describes the processing flow.

[0147] Step 1:

[0148] The user enters their travel preferences using a device. This includes specifying destinations, travel duration, activities of interest, and budget.

[0149] Step 2:

[0150] The terminal sends the entered desired information to the server. The server receives this information and prepares to begin processing.

[0151] Step 3:

[0152] The server collects real-time information on transportation schedules, facility operating hours, and reservation availability via the internet. This information collection utilizes APIs and data from the official websites of transportation and facility operators.

[0153] Step 4:

[0154] The server uses the requested information and collected data to create a preliminary travel itinerary for the user. At this stage, a basic visiting schedule is set.

[0155] Step 5:

[0156] The system acquires emotional data from the device. The device sends user voice, text input, or facial expression data to the emotion engine for emotional analysis.

[0157] Step 6:

[0158] The emotion engine analyzes the user's current emotional state and assesses their stress and pleasure levels. The analysis results are used to determine whether the user needs relaxation or desires active engagement.

[0159] Step 7:

[0160] The server dynamically adjusts the travel plan based on emotional data provided by the emotion engine. For example, if the user is seeking relaxation, it will incorporate spa treatments or nature walks into the schedule. If the user desires active activities, it will suggest sports events or attractions.

[0161] Step 8:

[0162] The server sends the finalized travel plan to the user's device. The user can then review the plan on their device and make further adjustments or reservations if necessary.

[0163] Step 9:

[0164] If the user is satisfied with the travel plan, the server automatically executes the booking process using an external system it is connected to. This completes the detailed arrangements for the trip.

[0165] (Example 2)

[0166] 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 will be referred to as the "terminal."

[0167] Traditional travel planning systems only generate schedules based on travelers' basic preferences, and lack the flexibility to adjust plans to reflect the traveler's emotional state. There is a need to provide more personalized services that reflect travelers' stress levels and emotional shifts.

[0168] 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.

[0169] In this invention, the server includes means for analyzing emotions based on voice data, text data, and gesture data acquired from the traveler's terminal; means for dynamically adjusting the travel itinerary based on the emotion analysis results; and means for transmitting the generated travel itinerary to the terminal, enabling confirmation and adjustment. This makes it possible to provide an optimal travel plan that is tailored to the traveler's emotional state.

[0170] A "traveler's terminal" is a device used by travelers that is a communication device capable of inputting and receiving information.

[0171] "Desired information" refers to information that includes the traveler's requests regarding their trip, such as desired destination, dates, and activities.

[0172] "Timetable information" refers to information that shows the operating schedule of public transportation.

[0173] "Business information" refers to information indicating the operating hours of a facility or store.

[0174] "Reservation availability information" refers to information indicating whether a facility or service is currently available for reservation.

[0175] A "comprehensive and optimized itinerary" is a travel schedule that is efficient and comprehensive, based on the traveler's preferences and collected external information.

[0176] "Audio data" refers to sound information obtained from the speech of travelers.

[0177] "Text data" refers to the character information entered by the user.

[0178] "Gesture data" refers to information about a user's body language and hand movements.

[0179] "Sentiment analysis" is the process of estimating a traveler's psychological state based on acquired data.

[0180] "Dynamic adjustment" refers to flexibly changing schedules and plans in response to real-time information and circumstances.

[0181] This invention is a system that provides travel plans that take into account the traveler's feelings. The user inputs travel preferences using a traveler terminal. The terminal transmits the collected information to a server. The server obtains real-time information on transportation timetables, facility operating hours, and reservation availability via the internet, and generates an itinerary based on the preferences.

[0182] Voice data, text data, and gesture data are acquired from the traveler's device. Based on this data, the server's emotion engine performs sentiment analysis. The emotion engine processes the input data using a generative AI model to estimate the traveler's emotional state. For example, it can detect a tense situation from the tone and speed of voice and suggest a plan that prioritizes relaxation.

[0183] Based on the results of sentiment analysis, the server dynamically adjusts the travel itinerary. For example, if a user requests to visit a relaxing tourist destination despite being stressed at work, the server will generate a schedule that includes relaxation-related spots such as spas and hot springs.

[0184] The travel itinerary generated on the server is sent to the user's device, where the user can review the details. The user can also adjust the itinerary. An example of an input prompt for the generating AI model is, "Suggest the best travel destination if the user is looking to relax."

[0185] This system allows travelers to receive a customized travel experience tailored to their emotions and circumstances, thereby increasing their satisfaction during their trip.

[0186] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0187] Step 1:

[0188] Users enter their travel preferences using a traveler's terminal. The terminal receives detailed information such as destination, dates, and desired activities, and sends it to the server. The entered information is stored in a database.

[0189] Step 2:

[0190] Based on the requested information received, the server collects real-time timetable information, service information, and reservation availability information via the internet. Data obtained from external APIs is integrated within the server and used as basic data for schedule generation.

[0191] Step 3:

[0192] The server generates a basic travel itinerary using the collected information and the user's preferences. A scheduling algorithm is used in the process, taking into account efficient travel routes and time allocation. The generated itinerary information is temporarily stored.

[0193] Step 4:

[0194] The device acquires additional voice data, text data, and gesture data, which are then sent to the server. This data is used as input to understand the user's emotions.

[0195] Step 5:

[0196] The server's emotion engine inputs the acquired data into an emotion analysis model to estimate the user's emotional state. A generative AI model is used to extract data features and classify emotions. The results of the emotion analysis are then used for further processing.

[0197] Step 6:

[0198] Based on the results of the sentiment analysis, the server dynamically adjusts the basic travel itinerary. For example, if the user is experiencing a lot of stress, activities that include relaxation will be prioritized. This adjustment completes the final travel itinerary.

[0199] Step 7:

[0200] The travel itinerary, adjusted on the server, is sent to the user's device for review. The user can review the provided plan and make additional requests or changes through their device. The final itinerary is confirmed only after obtaining the user's consent.

[0201] (Application Example 2)

[0202] 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".

[0203] When creating travel plans, it is necessary to provide plans that reflect not only the traveler's preferences but also their emotional state at the time. However, conventional systems present standardized plans without considering emotions, which presents a challenge in adequately increasing traveler satisfaction.

[0204] 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.

[0205] In this invention, the server includes means for receiving desired information entered by travelers, means for collecting real-time information on transportation timetables, facility operating hours, and reservation availability via the internet, and means for recognizing the emotional state from the user's voice and facial expressions and dynamically adjusting the proposed travel itinerary. This makes it possible to provide travel plans that take into account the emotional state of travelers.

[0206] A "traveler" is an individual or group that plans and carries out a trip.

[0207] "Desired information" refers to information that includes details such as the traveler's desired destination, duration, and activities.

[0208] "Transportation timetable information" refers to information regarding the operating schedules of trains, buses, airplanes, and other public transportation.

[0209] "Facility operating hours information" refers to information regarding the opening and closing times of tourist facilities, restaurants, shopping centers, etc.

[0210] "Reservation availability information" refers to information regarding the reservation status and availability of hotels, tours, restaurants, etc.

[0211] "Emotional state" refers to the psychological and emotional state of a traveler, including stress, relaxation, and tension.

[0212] "Travel itinerary" refers to the time-based plan for various activities and travel during a trip.

[0213] "Dynamic adjustment" means modifying and optimizing travel plans on the spot in response to real-time changes in circumstances and conditions.

[0214] This invention is a system that generates an optimized travel plan based on the traveler's preferences and emotional state. The system is configured as follows:

[0215] The server first receives traveler preferences and, based on this, collects real-time information via the internet, such as transportation timetables, facility opening hours, and reservation availability. Next, it recognizes the traveler's emotional state using voice and facial expression data obtained from the user's device. For this purpose, it uses speech recognition libraries (e.g., Google Speech-to-Text API) and emotion analysis libraries (e.g., Microsoft® Azure® Emotion API). This makes it possible to dynamically adjust the travel itinerary according to the traveler's stress and relaxation levels.

[0216] For example, if a user expresses a desire for a relaxing trip despite a busy schedule, the system will detect that their speaking speed and tone indicate tension. In this case, the server will suggest a travel plan that prioritizes relaxation, adjusting it to include spa treatments and leisurely travel time.

[0217] This entire process allows travelers to receive travel plans tailored to their emotional state, leading to increased satisfaction. For example, prompts could include requests such as, "Please suggest travel options for when I want to relax." To achieve this, the system utilizes a server, a voice recognition device, a facial recognition camera, and related software.

[0218] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0219] Step 1:

[0220] The user enters travel preferences via their device. This includes information such as destination, travel duration, and desired activities. The device collects this information and sends it to the server. Based on the input data, the server prepares to create an initial travel plan.

[0221] Step 2:

[0222] The server collects real-time transportation schedules, facility opening hours, and reservation availability information via the internet. This data is used to create a detailed travel itinerary. The collected data is combined with desired information and processed to build the basis of the travel plan.

[0223] Step 3:

[0224] The user's device acquires audio data and converts it into text data using a speech recognition library. Furthermore, it captures facial expressions with a camera and analyzes the user's emotional state using an emotion analysis library. Based on this input data, the system identifies the user's emotional state and sends the results to the server.

[0225] Step 4:

[0226] The server integrates user preferences, real-time data, and emotional state to dynamically adjust the travel plan. For example, if stress is detected, it generates a plan that prioritizes relaxation. This results in a personalized travel itinerary.

[0227] Step 5:

[0228] The generated travel itinerary is sent to the user's device, allowing them to review and adjust it. Based on the traveler's feedback, the server readjusts the itinerary as needed, ensuring the best possible travel experience.

[0229] Step 6:

[0230] Based on the final travel plan, the server automatically executes the booking process for the selected services and products. The booking information is notified to the terminal, and the user can confirm their travel itinerary. This completes the entire process from travel planning to booking.

[0231] 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.

[0232] 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.

[0233] 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.

[0234] [Second Embodiment]

[0235] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0236] 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.

[0237] 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).

[0238] 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.

[0239] 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.

[0240] 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).

[0241] 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.

[0242] 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.

[0243] 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.

[0244] 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.

[0245] 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.

[0246] 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".

[0247] This invention is a system that automatically generates an optimal travel plan based on the traveler's desired travel information and provides comprehensive support up to the booking process. This system mainly consists of the following elements: The traveler inputs their desired travel information using a terminal, and the server receives this information. The server collects real-time information on transportation timetables, facility opening hours, and booking availability via the internet.

[0248] The server generates an optimized travel itinerary based on the collected information and the traveler's preferences, and sends this itinerary to the traveler's device. The itinerary will include destinations and activities that reflect the user's interests and preferences. The traveler reviews this itinerary on their device and makes adjustments as needed. Furthermore, if the traveler selects specific activities or facilities, the server executes the associated booking procedures.

[0249] Furthermore, if the server receives additional requests from travelers, it dynamically modifies existing travel itineraries to generate the latest schedule. In this process, the server interacts with multiple external systems to manage and update booking information. This allows travelers to plan and execute their trips without stress.

[0250] To give a concrete example, a traveler enters information into their device such as "3-day city tour," "desires nature walks and local cuisine experiences," and "moderate budget." The server receives this information and retrieves data on transportation and tourist facilities within the city. It then creates an optimal itinerary, including the order of visits and travel plans tailored to each day, and sends it to the device. The traveler can then view this plan, confirm the availability of restaurants of interest, and make reservations with a single click. This allows travelers to enjoy a seamless experience from the planning stage to the execution stage.

[0251] The following describes the processing flow.

[0252] Step 1:

[0253] The user enters their travel preferences using a device. Here, they specify details such as destinations, travel duration, budget, and activities of interest.

[0254] Step 2:

[0255] The terminal sends the entered information to the server. The server receives this information and recognizes it as a target for processing.

[0256] Step 3:

[0257] The server collects real-time transportation schedules, facility operating hours, and reservation availability information for the specified destination via the internet. This data collection utilizes public transportation APIs and official facility websites.

[0258] Step 4:

[0259] Based on the information collected by the server, an optimized travel itinerary tailored to the user's preferences is generated. This takes into account factors such as the efficiency of travel and the combination of popular local activities within the budget.

[0260] Step 5:

[0261] The server sends the generated travel itinerary to the user's device. The user reviews the itinerary on their device and requests any necessary corrections if they are not satisfied.

[0262] Step 6:

[0263] Based on the activity and facility selected by the user, the server uses an external reservation system to execute the reservation process.

[0264] Step 7:

[0265] After all planning and bookings are complete, the server sends the final travel plan to the user's device and prompts them for confirmation. The user can then review the final plan through their device and prepare for their trip.

[0266] (Example 1)

[0267] 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".

[0268] Modern travelers face the challenge of planning trips that accommodate complex and diverse needs, while the associated information gathering and procedures are burdensome. Furthermore, responding to sudden changes in plans is difficult. There is a need for systems that enable simpler and more flexible travel planning and execution.

[0269] 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.

[0270] In this invention, the server includes means for receiving travel preference information entered by travelers, means for collecting public transport timetable information, facility usage time information, and available information in real time via the internet, and means for generating an optimized travel itinerary using a generative model. This enables the creation of realistic and rapid travel plans that meet the diverse needs of travelers, as well as dynamic itinerary adjustments.

[0271] A "traveler" refers to an individual or group that plans a trip for the purpose of travel.

[0272] "Desired information" refers to the data of requests and conditions that travelers enter when planning their trip.

[0273] "Public transport" refers to means of transportation used by the general public, such as buses, trains, and airplanes.

[0274] "Timetable information" refers to data related to the operating schedules of public transportation.

[0275] A "facility" refers to a place or building that travelers are expected to visit.

[0276] "Usage time information" refers to data regarding the time periods during which a particular facility is available.

[0277] "Availability information" refers to data regarding the status of a particular service, facility, or activity as being available for booking or use.

[0278] The "generative model" refers to a machine learning or computational algorithm that generates an optimal solution using the input data.

[0279] "Optimization" refers to the process of obtaining the most efficient or effective result under given conditions.

[0280] The "travel itinerary" refers to a schedule planned based on the wishes and conditions of the traveler.

[0281] The "terminal" refers to an electronic device used by the traveler to input, confirm, and operate information.

[0282] The "reservation procedure" refers to a series of operations or system operations for the traveler to secure or use a specific service or product.

[0283] The "external device" refers to a device or network that exists outside the system and is involved in information collection, management, and updating.

[0284] "Dynamically" refers to a state in which flexible responses, updates, or changes are made in accordance with changes in situations or conditions.

[0285] In this invention, the user first inputs travel wish information using the terminal. This terminal is equipped with a travel planning application, and the user can specify the number of days, budget, type of destination (e.g., nature walk, city sightseeing), etc. on the screen. The input information is sent from the terminal to the server.

[0286] Based on the received information, the server generates a prompt sentence using the generative AI model. For example, when the user inputs "I hope for a 3-day city tour and would like a plan that includes nature walks and experiences of local cuisine. The budget is set moderately.", this information is sent to the AI model as a prompt sentence.

[0287] The server will interact with public APIs and reservation systems, for example, to collect up-to-date data on public transport operations, facility operating hours, and available services via the internet. Based on the collected data, an optimized travel itinerary will be created by a generative AI model. This process will utilize scheduling algorithms and machine learning techniques. Required technologies include securing computing resources and managing data storage, which are expected to involve virtual servers and cloud services.

[0288] The generated travel plan is sent to the user's device, where they can view it in a browser or application. If necessary, the user can adjust the plan and make reservations for specific restaurants or attractions on their device. The server automatically processes the reservations and updates the details based on the user's selections.

[0289] This series of operations allows users to experience seamless and easy travel planning. The system features flexible planning capabilities that cater to diverse user needs.

[0290] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0291] Step 1:

[0292] The user enters travel preferences using their device. Specifically, the user accesses a form on their device screen and enters information such as the number of days of travel, the type of places they wish to visit (e.g., nature, cultural sites), and their budget. The input data is sent from the device to the server as material for generating prompt messages, which are then generated.

[0293] Step 2:

[0294] The server analyzes the request information received from the user and inputs it into an AI model that generates prompt messages. Specifically, the server analyzes the request information and converts it into a prompt message format. For example, if the user has conditions such as "desiring a 3-day trip," "city sightseeing," and "medium budget," it will generate a prompt message such as, "I would like a 3-day city sightseeing trip, and please propose a plan that includes nature walks and local cuisine experiences. The budget is set to medium."

[0295] Step 3:

[0296] The server collects real-time information on transportation services, facility operating hours, and available services via the internet. Specifically, the server retrieves the latest transportation information from external public APIs, and also obtains information on opening and closing times for facilities and accommodations, as well as the status of available services. After collection, this information is stored in a database and subjected to data processing.

[0297] Step 4:

[0298] The server uses an AI model to generate data, which is then combined with the user's preferences to create an optimized travel itinerary. Specifically, the server inputs prompts and collected data into the AI ​​model to optimize the schedule. This process also takes into account minimizing travel time and costs between different destinations. The output is then sent to the terminal as an optimized travel plan.

[0299] Step 5:

[0300] Users can review their travel plans on their devices and make any necessary adjustments. Specifically, they can view daily schedules and destination information on their devices and select their favorite restaurants and sightseeing spots. If any elements are selected, the server proceeds with the reservation process for those items.

[0301] Step 6:

[0302] The server automatically executes the reservation procedure based on the user's selection. Specifically, for the selected activity or facility, the server accesses an external reservation system to confirm the reservation. When the reservation is completed, the information is notified to the user's terminal and reflected in the travel plan.

[0303] Step 7:

[0304] When the user inputs an additional request, the server dynamically updates the existing travel schedule. As a specific operation, when the user wishes to add another date or destination, the server collects external information again and generates a new optimized schedule via the generated AI model. This updated plan is transferred to the terminal.

[0305] (Application Example 1)

[0306] Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as the "server", and the smart glasses 214 are referred to as the "terminal".

[0307] Modern travelers seek to efficiently obtain information about the regions they visit and require immediacy and flexibility when making travel plans. However, in conventional travel planning systems, real-time local information cannot be fully utilized, and it is difficult to provide an optimal travel experience that meets the needs of travelers. For this reason, travelers often feel uncertainty and stress regarding tourist information and facility reservations. The purpose of the present invention is to solve such problems.

[0308] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means respectively.

[0309] In this invention, the server includes a device for receiving desired itinerary information entered by travelers, a device for collecting real-time information on transportation schedules, facility operating hours, and reservation availability via the internet, and a device for providing visitors with real-time optimal travel routes and tourist destination information in conjunction with tourist information for a specific region. This enables travelers to plan their trips efficiently and flexibly based on real-time local information and enjoy a comfortable sightseeing experience.

[0310] A "traveler" is an individual who visits or plans a region for the purpose of travel or sightseeing.

[0311] "Desired information" refers to the requests and conditions that travelers have regarding their trip, and includes specific data such as places they want to visit, their budget, and the length of their stay.

[0312] The term "device" refers to a system of hardware or software designed to perform a specific function.

[0313] "Via the Internet" is a phrase that describes the process of transmitting and receiving information using a global communication network.

[0314] "Real-time" refers to a state or process where information is processed instantly the moment it is sent or received.

[0315] "Transportation timetable information" refers to information regarding the operating schedules of public transport and other modes of transportation.

[0316] "Facility operating hours information" refers to information about the hours during which a particular facility is open to the general public.

[0317] "Reservation availability information" refers to information indicating whether it is possible to reserve services or goods in advance.

[0318] A "travel plan" is a proposed itinerary that includes destinations, travel routes, and schedules, based on the traveler's wishes and external conditions.

[0319] "Tourism information" includes data about tourist destinations and events, providing information that is useful for travelers' activities and transportation at their destinations.

[0320] A "travel route" refers to the path or means of transport used by a traveler when moving between destinations.

[0321] The system implementing this invention consists of a robust server infrastructure for receiving desired information from travelers and collecting and analyzing real-time data on transportation and facilities, as well as user terminals for interactively exchanging information with travelers. The server can use Linux or Windows Server, and programs are executed using Python or Java on this environment.

[0322] The server first receives specific travel preference information entered by the user on their device. This information includes destination, duration, budget, and activities of interest. Based on this data, the server aggregates transportation timetables, facility operating hours, and reservation availability information via the internet. This can be done by utilizing external APIs and databases, such as using services like "Google Maps API" or "OpenWeatherMap."

[0323] After the information is aggregated, the server uses a generative AI model to optimize the travel plan. The generative AI model analyzes a large amount of tourist information and the user's past data to suggest the optimal order of destinations and travel routes. This tourist information includes recommended spots and events in specific regions, and candidates that are most likely to interest the user are selected as recommendations.

[0324] An application running on iOS or Android is installed on the user's device, and the generated travel plan is displayed interactively. Users can check the plan using their device and make changes or adjustments on the spot as needed, and the updated information is reflected on the server in real time.

[0325] As a concrete example, suppose a traveler requests a "3-day city tour" and simultaneously wants to "experience nature walks and local cuisine." Based on this, the server searches for information on all transportation options and tourist facilities within the city and proposes the optimal itinerary. The user can then review this proposal on their smartphone and easily book the activities that interest them.

[0326] Examples of prompt statements include:

[0327] "A user is requesting a sightseeing plan for Sydney. Please create a system that proposes an efficient 3-day travel plan covering major tourist attractions and handles the necessary booking procedures. In particular, please consider optimizing transportation convenience and participation in local events."

[0328] The following are possible contents.

[0329] In this way, travelers can experience a smooth process from planning to execution.

[0330] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0331] Step 1:

[0332] The user enters their travel preferences into the device.

[0333] The input includes travel destination, desired activities, budget, and itinerary. The device sends this information to the server. The output of this process is structured traveler preference data.

[0334] Step 2:

[0335] The server analyzes the received request data and collects relevant transportation schedules, facility operating hours, and reservation availability information via the internet.

[0336] The input is the user's desired data, which is used to retrieve real-time information related to the destination from databases and external APIs. The output is a dataset that integrates all of this information.

[0337] Step 3:

[0338] The server utilizes a generative AI model to generate the optimal travel plan based on collected information and desired data.

[0339] The input here is an integrated dataset, and the AI ​​model determines the order of destinations and travel routes, outputting an optimized travel plan.

[0340] Step 4:

[0341] The server sends the generated travel plan to the user's terminal.

[0342] The input is an optimized travel plan, and the output is schedule information visualized in an application on the user's device. The user then uses this to refine the travel plan and make any necessary adjustments on their device.

[0343] Step 5:

[0344] Users can use their devices to finalize their travel plans and request necessary bookings.

[0345] The input is the confirmed travel plan, and the output is the details of the reservations to be made. The terminal sends this information to the server.

[0346] Step 6:

[0347] The server will book services and secure goods based on the finalized plan.

[0348] This involves making reservations for necessary facilities and services through communication with the reservation platform. The input here is confirmation information from the user, and the output is a reservation completion notification.

[0349] Step 7:

[0350] The server sends the booking information to the terminal and visually presents the final travel plan.

[0351] The final output is a display on the device showing the entire travel itinerary and confirmed booking details. The user can then confirm this on the device and be ready to proceed with their trip.

[0352] 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.

[0353] This invention extends conventional systems that generate optimal travel plans based on travelers' preferences, providing a system that dynamically offers travel plans that take into account the traveler's emotional state. The system transmits information entered through the traveler's terminal to a server, which then creates a travel schedule based on that information. The process begins with the server collecting real-time transportation timetables, facility opening hours, and reservation availability information via the internet.

[0354] The newly added emotion engine recognizes emotions through voice, text, and gesture data acquired from the user's device, and adjusts the travel information and suggestions provided based on those emotions. This engine analyzes the user's emotional state from different types of sensor data and user interface responses. For example, it can change the plan suggestions depending on whether the user appears cheerful or tired.

[0355] As a concrete example, suppose a user enters travel information on their device and requests, "I want a relaxing trip even though I'm busy." The server generates a basic travel plan, and at the same time, the emotion engine recognizes the user's recent stress level. For example, if the user speaks quickly and their voice tone is tense, the server adjusts the suggested plan to include relaxation-focused spa treatments and leisurely travel time.

[0356] This invention makes it possible to provide customized travel experiences tailored to the emotions and circumstances of individual travelers, thereby increasing their satisfaction during their trips. This entire process is carried out collaboratively by a server, terminal, and emotion engine, ensuring that users can enjoy planning and executing their trips without stress.

[0357] The following describes the processing flow.

[0358] Step 1:

[0359] The user enters their travel preferences using a device. This includes specifying destinations, travel duration, activities of interest, and budget.

[0360] Step 2:

[0361] The terminal sends the entered desired information to the server. The server receives this information and prepares to begin processing.

[0362] Step 3:

[0363] The server collects real-time information on transportation schedules, facility operating hours, and reservation availability via the internet. This information collection utilizes APIs and data from the official websites of transportation and facility operators.

[0364] Step 4:

[0365] The server uses the requested information and collected data to create a preliminary travel itinerary for the user. At this stage, a basic visiting schedule is set.

[0366] Step 5:

[0367] The system acquires emotional data from the device. The device sends user voice, text input, or facial expression data to the emotion engine for emotional analysis.

[0368] Step 6:

[0369] The emotion engine analyzes the user's current emotional state and assesses their stress and pleasure levels. The analysis results are used to determine whether the user needs relaxation or desires active engagement.

[0370] Step 7:

[0371] The server dynamically adjusts the travel plan based on emotional data provided by the emotion engine. For example, if the user is seeking relaxation, it will incorporate spa treatments or nature walks into the schedule. If the user desires active activities, it will suggest sports events or attractions.

[0372] Step 8:

[0373] The server sends the finalized travel plan to the user's device. The user can then review the plan on their device and make further adjustments or reservations if necessary.

[0374] Step 9:

[0375] If the user is satisfied with the travel plan, the server automatically executes the booking process using an external system it is connected to. This completes the detailed arrangements for the trip.

[0376] (Example 2)

[0377] 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".

[0378] Traditional travel planning systems only generate schedules based on travelers' basic preferences, and lack the flexibility to adjust plans to reflect the traveler's emotional state. There is a need to provide more personalized services that reflect travelers' stress levels and emotional shifts.

[0379] 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.

[0380] In this invention, the server includes means for analyzing emotions based on voice data, text data, and gesture data acquired from the traveler's terminal; means for dynamically adjusting the travel itinerary based on the emotion analysis results; and means for transmitting the generated travel itinerary to the terminal, enabling confirmation and adjustment. This makes it possible to provide an optimal travel plan that is tailored to the traveler's emotional state.

[0381] A "traveler's terminal" is a device used by travelers that is a communication device capable of inputting and receiving information.

[0382] "Desired information" refers to information that includes the traveler's requests regarding their trip, such as desired destination, dates, and activities.

[0383] "Timetable information" refers to information that shows the operating schedule of public transportation.

[0384] "Business information" refers to information indicating the operating hours of a facility or store.

[0385] "Reservation availability information" refers to information indicating whether a facility or service is currently available for reservation.

[0386] A "comprehensive and optimized itinerary" is a travel schedule that is efficient and comprehensive, based on the traveler's preferences and collected external information.

[0387] "Audio data" refers to sound information obtained from the speech of travelers.

[0388] "Text data" refers to the character information entered by the user.

[0389] "Gesture data" refers to information about a user's body language and hand movements.

[0390] "Sentiment analysis" is the process of estimating a traveler's psychological state based on acquired data.

[0391] "Dynamic adjustment" refers to flexibly changing schedules and plans in response to real-time information and circumstances.

[0392] This invention is a system that provides travel plans that take into account the traveler's feelings. The user inputs travel preferences using a traveler terminal. The terminal transmits the collected information to a server. The server obtains real-time information on transportation timetables, facility operating hours, and reservation availability via the internet, and generates an itinerary based on the preferences.

[0393] Voice data, text data, and gesture data are acquired from the traveler's device. Based on this data, the server's emotion engine performs sentiment analysis. The emotion engine processes the input data using a generative AI model to estimate the traveler's emotional state. For example, it can detect a tense situation from the tone and speed of voice and suggest a plan that prioritizes relaxation.

[0394] Based on the results of sentiment analysis, the server dynamically adjusts the travel itinerary. For example, if a user requests to visit a relaxing tourist destination despite being stressed at work, the server will generate a schedule that includes relaxation-related spots such as spas and hot springs.

[0395] The travel itinerary generated on the server is sent to the user's device, where the user can review the details. The user can also adjust the itinerary. An example of an input prompt for the generating AI model is, "Suggest the best travel destination if the user is looking to relax."

[0396] This system allows travelers to receive a customized travel experience tailored to their emotions and circumstances, thereby increasing their satisfaction during their trip.

[0397] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0398] Step 1:

[0399] Users enter their travel preferences using a traveler's terminal. The terminal receives detailed information such as destination, dates, and desired activities, and sends it to the server. The entered information is stored in a database.

[0400] Step 2:

[0401] Based on the requested information received, the server collects real-time timetable information, service information, and reservation availability information via the internet. Data obtained from external APIs is integrated within the server and used as basic data for schedule generation.

[0402] Step 3:

[0403] The server generates a basic travel itinerary using the collected information and the user's preferences. A scheduling algorithm is used in the process, taking into account efficient travel routes and time allocation. The generated itinerary information is temporarily stored.

[0404] Step 4:

[0405] The device acquires additional voice data, text data, and gesture data, which are then sent to the server. This data is used as input to understand the user's emotions.

[0406] Step 5:

[0407] The server's emotion engine inputs the acquired data into an emotion analysis model to estimate the user's emotional state. A generative AI model is used to extract data features and classify emotions. The results of the emotion analysis are then used for further processing.

[0408] Step 6:

[0409] Based on the results of the sentiment analysis, the server dynamically adjusts the basic travel itinerary. For example, if the user is experiencing a lot of stress, activities that include relaxation will be prioritized. This adjustment completes the final travel itinerary.

[0410] Step 7:

[0411] The travel itinerary, adjusted on the server, is sent to the user's device for review. The user can review the provided plan and make additional requests or changes through their device. The final itinerary is confirmed only after obtaining the user's consent.

[0412] (Application Example 2)

[0413] 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".

[0414] When creating travel plans, it is necessary to provide plans that reflect not only the traveler's preferences but also their emotional state at the time. However, conventional systems present standardized plans without considering emotions, which presents a challenge in adequately increasing traveler satisfaction.

[0415] 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.

[0416] In this invention, the server includes means for receiving desired information entered by travelers, means for collecting real-time information on transportation timetables, facility operating hours, and reservation availability via the internet, and means for recognizing the emotional state from the user's voice and facial expressions and dynamically adjusting the proposed travel itinerary. This makes it possible to provide travel plans that take into account the emotional state of travelers.

[0417] A "traveler" is an individual or group that plans and carries out a trip.

[0418] "Desired information" refers to information that includes details such as the traveler's desired destination, duration, and activities.

[0419] "Transportation timetable information" refers to information regarding the operating schedules of trains, buses, airplanes, and other public transportation.

[0420] "Facility operating hours information" refers to information regarding the opening and closing times of tourist facilities, restaurants, shopping centers, etc.

[0421] "Reservation availability information" refers to information regarding the reservation status and availability of hotels, tours, restaurants, etc.

[0422] "Emotional state" refers to the psychological and emotional state of a traveler, including stress, relaxation, and tension.

[0423] "Travel itinerary" refers to the time-based plan for various activities and travel during a trip.

[0424] "Dynamic adjustment" means modifying and optimizing travel plans on the spot in response to real-time changes in circumstances and conditions.

[0425] This invention is a system that generates an optimized travel plan based on the traveler's preferences and emotional state. The system is configured as follows:

[0426] The server first receives traveler preferences and, based on this, collects real-time information via the internet, such as transportation timetables, facility opening hours, and reservation availability. Next, it recognizes the traveler's emotional state using voice and facial expression data obtained from the user's device. For this purpose, it uses speech recognition libraries (e.g., Google Speech-to-Text API) and emotion analysis libraries (e.g., Microsoft Azure Emotion API). This makes it possible to dynamically adjust the travel itinerary according to the traveler's stress and relaxation levels.

[0427] For example, if a user expresses a desire for a relaxing trip despite a busy schedule, the system will detect that their speaking speed and tone indicate tension. In this case, the server will suggest a travel plan that prioritizes relaxation, adjusting it to include spa treatments and leisurely travel time.

[0428] This entire process allows travelers to receive travel plans tailored to their emotional state, leading to increased satisfaction. For example, prompts could include requests such as, "Please suggest travel options for when I want to relax." To achieve this, the system utilizes a server, a voice recognition device, a facial recognition camera, and related software.

[0429] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0430] Step 1:

[0431] The user enters travel preferences via their device. This includes information such as destination, travel duration, and desired activities. The device collects this information and sends it to the server. Based on the input data, the server prepares to create an initial travel plan.

[0432] Step 2:

[0433] The server collects real-time transportation schedules, facility opening hours, and reservation availability information via the internet. This data is used to create a detailed travel itinerary. The collected data is combined with desired information and processed to build the basis of the travel plan.

[0434] Step 3:

[0435] The user's device acquires audio data and converts it into text data using a speech recognition library. Furthermore, it captures facial expressions with a camera and analyzes the user's emotional state using an emotion analysis library. Based on this input data, the system identifies the user's emotional state and sends the results to the server.

[0436] Step 4:

[0437] The server integrates user preferences, real-time data, and emotional state to dynamically adjust the travel plan. For example, if stress is detected, it generates a plan that prioritizes relaxation. This results in a personalized travel itinerary.

[0438] Step 5:

[0439] The generated travel itinerary is sent to the user's device, allowing them to review and adjust it. Based on the traveler's feedback, the server readjusts the itinerary as needed, ensuring the best possible travel experience.

[0440] Step 6:

[0441] Based on the final travel plan, the server automatically executes the booking process for the selected services and products. The booking information is notified to the terminal, and the user can confirm their travel itinerary. This completes the entire process from travel planning to booking.

[0442] 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.

[0443] 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.

[0444] 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.

[0445] [Third Embodiment]

[0446] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0447] 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.

[0448] 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).

[0449] 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.

[0450] 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.

[0451] 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).

[0452] 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.

[0453] 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.

[0454] 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.

[0455] 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.

[0456] 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.

[0457] 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".

[0458] This invention is a system that automatically generates an optimal travel plan based on the traveler's desired travel information and provides comprehensive support up to the booking process. This system mainly consists of the following elements: The traveler inputs their desired travel information using a terminal, and the server receives this information. The server collects real-time information on transportation timetables, facility opening hours, and booking availability via the internet.

[0459] The server generates an optimized travel itinerary based on the collected information and the traveler's preferences, and sends this itinerary to the traveler's device. The itinerary will include destinations and activities that reflect the user's interests and preferences. The traveler reviews this itinerary on their device and makes adjustments as needed. Furthermore, if the traveler selects specific activities or facilities, the server executes the associated booking procedures.

[0460] Furthermore, if the server receives additional requests from travelers, it dynamically modifies existing travel itineraries to generate the latest schedule. In this process, the server interacts with multiple external systems to manage and update booking information. This allows travelers to plan and execute their trips without stress.

[0461] To give a concrete example, a traveler enters information into their device such as "3-day city tour," "desires nature walks and local cuisine experiences," and "moderate budget." The server receives this information and retrieves data on transportation and tourist facilities within the city. It then creates an optimal itinerary, including the order of visits and travel plans tailored to each day, and sends it to the device. The traveler can then view this plan, confirm the availability of restaurants of interest, and make reservations with a single click. This allows travelers to enjoy a seamless experience from the planning stage to the execution stage.

[0462] The following describes the processing flow.

[0463] Step 1:

[0464] The user enters their travel preferences using a device. Here, they specify details such as destinations, travel duration, budget, and activities of interest.

[0465] Step 2:

[0466] The terminal sends the entered information to the server. The server receives this information and recognizes it as a target for processing.

[0467] Step 3:

[0468] The server collects real-time transportation schedules, facility operating hours, and reservation availability information for the specified destination via the internet. This data collection utilizes public transportation APIs and official facility websites.

[0469] Step 4:

[0470] Based on the information collected by the server, an optimized travel itinerary tailored to the user's preferences is generated. This takes into account factors such as the efficiency of travel and the combination of popular local activities within the budget.

[0471] Step 5:

[0472] The server sends the generated travel itinerary to the user's device. The user reviews the itinerary on their device and requests any necessary corrections if they are not satisfied.

[0473] Step 6:

[0474] Based on the activity and facility selected by the user, the server uses an external reservation system to execute the reservation process.

[0475] Step 7:

[0476] After all planning and bookings are complete, the server sends the final travel plan to the user's device and prompts them for confirmation. The user can then review the final plan through their device and prepare for their trip.

[0477] (Example 1)

[0478] 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."

[0479] Modern travelers face the challenge of planning trips that accommodate complex and diverse needs, while the associated information gathering and procedures are burdensome. Furthermore, responding to sudden changes in plans is difficult. There is a need for systems that enable simpler and more flexible travel planning and execution.

[0480] 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.

[0481] In this invention, the server includes means for receiving travel preference information entered by travelers, means for collecting public transport timetable information, facility usage time information, and available information in real time via the internet, and means for generating an optimized travel itinerary using a generative model. This enables the creation of realistic and rapid travel plans that meet the diverse needs of travelers, as well as dynamic itinerary adjustments.

[0482] A "traveler" refers to an individual or group that plans a trip for the purpose of travel.

[0483] "Desired information" refers to the data of requests and conditions that travelers enter when planning their trip.

[0484] "Public transport" refers to means of transportation used by the general public, such as buses, trains, and airplanes.

[0485] "Timetable information" refers to data related to the operating schedules of public transportation.

[0486] A "facility" refers to a place or building that travelers are expected to visit.

[0487] "Usage time information" refers to data regarding the time periods during which a particular facility is available.

[0488] "Availability information" refers to data regarding the status of a particular service, facility, or activity as being available for booking or use.

[0489] A "generative model" refers to a machine learning or computational algorithm that generates the optimal solution using input data.

[0490] "Optimization" refers to the process of obtaining the most efficient or effective result under given conditions.

[0491] A "travel itinerary" refers to a schedule planned based on the traveler's wishes and preferences.

[0492] A "terminal" refers to an electronic device used by travelers to input, verify, and operate information.

[0493] "Reservation process" refers to a series of actions or system operations that travelers use to secure or utilize a specific service or product.

[0494] "External devices" refer to devices or networks that exist outside the system and are involved in the collection, management, and updating of information.

[0495] "Dynamically" refers to a state in which things are flexibly responded to, updated, or modified in response to changes in circumstances or conditions.

[0496] In this invention, the user first uses a terminal to input travel preference information. This terminal has a travel planning application installed, allowing the user to specify the number of days, budget, type of destination (e.g., nature walk, city sightseeing), etc., on the screen. The entered information is then transmitted from the terminal to the server.

[0497] Based on the information received, the server uses a generative AI model to generate prompt messages. For example, if a user inputs, "I would like a 3-day city tour, including nature walks and local cuisine experiences. My budget is moderate," this information will be sent to the AI ​​model as a prompt message.

[0498] The server will interact with public APIs and reservation systems, for example, to collect up-to-date data on public transport operations, facility operating hours, and available services via the internet. Based on the collected data, an optimized travel itinerary will be created by a generative AI model. This process will utilize scheduling algorithms and machine learning techniques. Required technologies include securing computing resources and managing data storage, which are expected to involve virtual servers and cloud services.

[0499] The generated travel plan is sent to the user's device, where they can view it in a browser or application. If necessary, the user can adjust the plan and make reservations for specific restaurants or attractions on their device. The server automatically processes the reservations and updates the details based on the user's selections.

[0500] This series of operations allows users to experience seamless and easy travel planning. The system features flexible planning capabilities that cater to diverse user needs.

[0501] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0502] Step 1:

[0503] The user enters travel preferences using their device. Specifically, the user accesses a form on their device screen and enters information such as the number of days of travel, the type of places they wish to visit (e.g., nature, cultural sites), and their budget. The input data is sent from the device to the server as material for generating prompt messages, which are then generated.

[0504] Step 2:

[0505] The server analyzes the request information received from the user and inputs it into an AI model that generates prompt messages. Specifically, the server analyzes the request information and converts it into a prompt message format. For example, if the user has conditions such as "desiring a 3-day trip," "city sightseeing," and "medium budget," it will generate a prompt message such as, "I would like a 3-day city sightseeing trip, and please propose a plan that includes nature walks and local cuisine experiences. The budget is set to medium."

[0506] Step 3:

[0507] The server collects real-time information on transportation services, facility operating hours, and available services via the internet. Specifically, the server retrieves the latest transportation information from external public APIs, and also obtains information on opening and closing times for facilities and accommodations, as well as the status of available services. After collection, this information is stored in a database and subjected to data processing.

[0508] Step 4:

[0509] The server uses an AI model to generate data, which is then combined with the user's preferences to create an optimized travel itinerary. Specifically, the server inputs prompts and collected data into the AI ​​model to optimize the schedule. This process also takes into account minimizing travel time and costs between different destinations. The output is then sent to the terminal as an optimized travel plan.

[0510] Step 5:

[0511] Users can review their travel plans on their devices and make any necessary adjustments. Specifically, they can view daily schedules and destination information on their devices and select their favorite restaurants and sightseeing spots. If any elements are selected, the server proceeds with the reservation process for those items.

[0512] Step 6:

[0513] The server automatically executes the booking process based on the user's selection. Specifically, for the selected activities and facilities, the server accesses an external booking system to confirm the reservation. Once the reservation is complete, the information is notified to the user's device and reflected in their travel plan.

[0514] Step 7:

[0515] When a user enters an additional request, the server dynamically updates the existing travel itinerary. Specifically, if the user wishes to add a different date or destination, the server again gathers external information and generates a new, optimized schedule via a generative AI model. This updated plan is then transferred to the device.

[0516] (Application Example 1)

[0517] 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."

[0518] Modern travelers seek to efficiently obtain information about the regions they visit and demand immediacy and flexibility when planning their trips. However, conventional travel planning systems fail to fully utilize real-time local information, making it difficult to provide travelers with the optimal travel experience tailored to their needs. As a result, travelers often experience uncertainty and stress regarding tourist information and facility reservations. This invention aims to solve these problems.

[0519] 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.

[0520] In this invention, the server includes a device for receiving desired itinerary information entered by travelers, a device for collecting real-time information on transportation schedules, facility operating hours, and reservation availability via the internet, and a device for providing visitors with real-time optimal travel routes and tourist destination information in conjunction with tourist information for a specific region. This enables travelers to plan their trips efficiently and flexibly based on real-time local information and enjoy a comfortable sightseeing experience.

[0521] A "traveler" is an individual who visits or plans a region for the purpose of travel or sightseeing.

[0522] "Desired information" refers to the requests and conditions that travelers have regarding their trip, and includes specific data such as places they want to visit, their budget, and the length of their stay.

[0523] The term "device" refers to a system of hardware or software designed to perform a specific function.

[0524] "Via the Internet" is a phrase that describes the process of transmitting and receiving information using a global communication network.

[0525] "Real-time" refers to a state or process where information is processed instantly the moment it is sent or received.

[0526] "Transportation timetable information" refers to information regarding the operating schedules of public transport and other modes of transportation.

[0527] "Facility operating hours information" refers to information about the hours during which a particular facility is open to the general public.

[0528] "Reservation availability information" refers to information indicating whether it is possible to reserve services or goods in advance.

[0529] A "travel plan" is a proposed itinerary that includes destinations, travel routes, and schedules, based on the traveler's wishes and external conditions.

[0530] "Tourism information" includes data about tourist destinations and events, providing information that is useful for travelers' activities and transportation at their destinations.

[0531] A "travel route" refers to the path or means of transport used by a traveler when moving between destinations.

[0532] The system implementing this invention consists of a robust server infrastructure for receiving desired information from travelers and collecting and analyzing real-time data on transportation and facilities, as well as user terminals for interactively exchanging information with travelers. The server can use Linux or Windows Server, and programs are executed using Python or Java on this environment.

[0533] The server first receives specific travel preference information entered by the user on their device. This information includes destination, duration, budget, and activities of interest. Based on this data, the server aggregates transportation timetables, facility operating hours, and reservation availability information via the internet. This can be done by utilizing external APIs and databases, such as using services like "Google Maps API" or "OpenWeatherMap."

[0534] After the information is aggregated, the server uses a generative AI model to optimize the travel plan. The generative AI model analyzes a large amount of tourist information and the user's past data to suggest the optimal order of destinations and travel routes. This tourist information includes recommended spots and events in specific regions, and candidates that are most likely to interest the user are selected as recommendations.

[0535] An application running on iOS or Android is installed on the user's device, and the generated travel plan is displayed interactively. Users can check the plan using their device and make changes or adjustments on the spot as needed, and the updated information is reflected on the server in real time.

[0536] As a concrete example, suppose a traveler requests a "3-day city tour" and simultaneously wants to "experience nature walks and local cuisine." Based on this, the server searches for information on all transportation options and tourist facilities within the city and proposes the optimal itinerary. The user can then review this proposal on their smartphone and easily book the activities that interest them.

[0537] Examples of prompt statements include:

[0538] "A user is requesting a sightseeing plan for Sydney. Please create a system that proposes an efficient 3-day travel plan covering major tourist attractions and handles the necessary booking procedures. In particular, please consider optimizing transportation convenience and participation in local events."

[0539] The following are possible contents.

[0540] In this way, travelers can experience a smooth process from planning to execution.

[0541] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0542] Step 1:

[0543] The user enters their travel preferences into the device.

[0544] The input includes travel destination, desired activities, budget, and itinerary. The device sends this information to the server. The output of this process is structured traveler preference data.

[0545] Step 2:

[0546] The server analyzes the received request data and collects relevant transportation schedules, facility operating hours, and reservation availability information via the internet.

[0547] The input is the user's desired data, which is used to retrieve real-time information related to the destination from databases and external APIs. The output is a dataset that integrates all of this information.

[0548] Step 3:

[0549] The server utilizes a generative AI model to generate the optimal travel plan based on collected information and desired data.

[0550] The input here is an integrated dataset, and the AI ​​model determines the order of destinations and travel routes, outputting an optimized travel plan.

[0551] Step 4:

[0552] The server sends the generated travel plan to the user's terminal.

[0553] The input is an optimized travel plan, and the output is schedule information visualized in an application on the user's device. The user then uses this to refine the travel plan and make any necessary adjustments on their device.

[0554] Step 5:

[0555] Users can use their devices to finalize their travel plans and request necessary bookings.

[0556] The input is the confirmed travel plan, and the output is the details of the reservations to be made. The terminal sends this information to the server.

[0557] Step 6:

[0558] The server will book services and secure goods based on the finalized plan.

[0559] This involves making reservations for necessary facilities and services through communication with the reservation platform. The input here is confirmation information from the user, and the output is a reservation completion notification.

[0560] Step 7:

[0561] The server sends the booking information to the terminal and visually presents the final travel plan.

[0562] The final output is a display on the device showing the entire travel itinerary and confirmed booking details. The user can then confirm this on the device and be ready to proceed with their trip.

[0563] 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.

[0564] This invention extends conventional systems that generate optimal travel plans based on travelers' preferences, providing a system that dynamically offers travel plans that take into account the traveler's emotional state. The system transmits information entered through the traveler's terminal to a server, which then creates a travel schedule based on that information. The process begins with the server collecting real-time transportation timetables, facility opening hours, and reservation availability information via the internet.

[0565] The newly added emotion engine recognizes emotions through voice, text, and gesture data acquired from the user's device, and adjusts the travel information and suggestions provided based on those emotions. This engine analyzes the user's emotional state from different types of sensor data and user interface responses. For example, it can change the plan suggestions depending on whether the user appears cheerful or tired.

[0566] As a concrete example, suppose a user enters travel information on their device and requests, "I want a relaxing trip even though I'm busy." The server generates a basic travel plan, and at the same time, the emotion engine recognizes the user's recent stress level. For example, if the user speaks quickly and their voice tone is tense, the server adjusts the suggested plan to include relaxation-focused spa treatments and leisurely travel time.

[0567] This invention makes it possible to provide customized travel experiences tailored to the emotions and circumstances of individual travelers, thereby increasing their satisfaction during their trips. This entire process is carried out collaboratively by a server, terminal, and emotion engine, ensuring that users can enjoy planning and executing their trips without stress.

[0568] The following describes the processing flow.

[0569] Step 1:

[0570] The user enters their travel preferences using a device. This includes specifying destinations, travel duration, activities of interest, and budget.

[0571] Step 2:

[0572] The terminal sends the entered desired information to the server. The server receives this information and prepares to begin processing.

[0573] Step 3:

[0574] The server collects real-time information on transportation schedules, facility operating hours, and reservation availability via the internet. This information collection utilizes APIs and data from the official websites of transportation and facility operators.

[0575] Step 4:

[0576] The server uses the requested information and collected data to create a preliminary travel itinerary for the user. At this stage, a basic visiting schedule is set.

[0577] Step 5:

[0578] The system acquires emotional data from the device. The device sends user voice, text input, or facial expression data to the emotion engine for emotional analysis.

[0579] Step 6:

[0580] The emotion engine analyzes the user's current emotional state and assesses their stress and pleasure levels. The analysis results are used to determine whether the user needs relaxation or desires active engagement.

[0581] Step 7:

[0582] The server dynamically adjusts the travel plan based on emotional data provided by the emotion engine. For example, if the user is seeking relaxation, it will incorporate spa treatments or nature walks into the schedule. If the user desires active activities, it will suggest sports events or attractions.

[0583] Step 8:

[0584] The server sends the finalized travel plan to the user's device. The user can then review the plan on their device and make further adjustments or reservations if necessary.

[0585] Step 9:

[0586] If the user is satisfied with the travel plan, the server automatically executes the booking process using an external system it is connected to. This completes the detailed arrangements for the trip.

[0587] (Example 2)

[0588] 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."

[0589] Traditional travel planning systems only generate schedules based on travelers' basic preferences, and lack the flexibility to adjust plans to reflect the traveler's emotional state. There is a need to provide more personalized services that reflect travelers' stress levels and emotional shifts.

[0590] 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.

[0591] In this invention, the server includes means for analyzing emotions based on voice data, text data, and gesture data acquired from the traveler's terminal; means for dynamically adjusting the travel itinerary based on the emotion analysis results; and means for transmitting the generated travel itinerary to the terminal, enabling confirmation and adjustment. This makes it possible to provide an optimal travel plan that is tailored to the traveler's emotional state.

[0592] A "traveler's terminal" is a device used by travelers that is a communication device capable of inputting and receiving information.

[0593] "Desired information" refers to information that includes the traveler's requests regarding their trip, such as desired destination, dates, and activities.

[0594] "Timetable information" refers to information that shows the operating schedule of public transportation.

[0595] "Business information" refers to information indicating the operating hours of a facility or store.

[0596] "Reservation availability information" refers to information indicating whether a facility or service is currently available for reservation.

[0597] A "comprehensive and optimized itinerary" is a travel schedule that is efficient and comprehensive, based on the traveler's preferences and collected external information.

[0598] "Audio data" refers to sound information obtained from the speech of travelers.

[0599] "Text data" refers to the character information entered by the user.

[0600] "Gesture data" refers to information about a user's body language and hand movements.

[0601] "Sentiment analysis" is the process of estimating a traveler's psychological state based on acquired data.

[0602] "Dynamic adjustment" refers to flexibly changing schedules and plans in response to real-time information and circumstances.

[0603] This invention is a system that provides travel plans that take into account the traveler's feelings. The user inputs travel preferences using a traveler terminal. The terminal transmits the collected information to a server. The server obtains real-time information on transportation timetables, facility operating hours, and reservation availability via the internet, and generates an itinerary based on the preferences.

[0604] Voice data, text data, and gesture data are acquired from the traveler's device. Based on this data, the server's emotion engine performs sentiment analysis. The emotion engine processes the input data using a generative AI model to estimate the traveler's emotional state. For example, it can detect a tense situation from the tone and speed of voice and suggest a plan that prioritizes relaxation.

[0605] Based on the results of sentiment analysis, the server dynamically adjusts the travel itinerary. For example, if a user requests to visit a relaxing tourist destination despite being stressed at work, the server will generate a schedule that includes relaxation-related spots such as spas and hot springs.

[0606] The travel itinerary generated on the server is sent to the user's device, where the user can review the details. The user can also adjust the itinerary. An example of an input prompt for the generating AI model is, "Suggest the best travel destination if the user is looking to relax."

[0607] This system allows travelers to receive a customized travel experience tailored to their emotions and circumstances, thereby increasing their satisfaction during their trip.

[0608] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0609] Step 1:

[0610] Users enter their travel preferences using a traveler's terminal. The terminal receives detailed information such as destination, dates, and desired activities, and sends it to the server. The entered information is stored in a database.

[0611] Step 2:

[0612] Based on the requested information received, the server collects real-time timetable information, service information, and reservation availability information via the internet. Data obtained from external APIs is integrated within the server and used as basic data for schedule generation.

[0613] Step 3:

[0614] The server generates a basic travel itinerary using the collected information and the user's preferences. A scheduling algorithm is used in the process, taking into account efficient travel routes and time allocation. The generated itinerary information is temporarily stored.

[0615] Step 4:

[0616] The device acquires additional voice data, text data, and gesture data, which are then sent to the server. This data is used as input to understand the user's emotions.

[0617] Step 5:

[0618] The server's emotion engine inputs the acquired data into an emotion analysis model to estimate the user's emotional state. A generative AI model is used to extract data features and classify emotions. The results of the emotion analysis are then used for further processing.

[0619] Step 6:

[0620] Based on the results of the sentiment analysis, the server dynamically adjusts the basic travel itinerary. For example, if the user is experiencing a lot of stress, activities that include relaxation will be prioritized. This adjustment completes the final travel itinerary.

[0621] Step 7:

[0622] The travel itinerary, adjusted on the server, is sent to the user's device for review. The user can review the provided plan and make additional requests or changes through their device. The final itinerary is confirmed only after obtaining the user's consent.

[0623] (Application Example 2)

[0624] 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."

[0625] When creating travel plans, it is necessary to provide plans that reflect not only the traveler's preferences but also their emotional state at the time. However, conventional systems present standardized plans without considering emotions, which presents a challenge in adequately increasing traveler satisfaction.

[0626] 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.

[0627] In this invention, the server includes means for receiving desired information entered by travelers, means for collecting real-time information on transportation timetables, facility operating hours, and reservation availability via the internet, and means for recognizing the emotional state from the user's voice and facial expressions and dynamically adjusting the proposed travel itinerary. This makes it possible to provide travel plans that take into account the emotional state of travelers.

[0628] A "traveler" is an individual or group that plans and carries out a trip.

[0629] "Desired information" refers to information that includes details such as the traveler's desired destination, duration, and activities.

[0630] "Transportation timetable information" refers to information regarding the operating schedules of trains, buses, airplanes, and other public transportation.

[0631] "Facility operating hours information" refers to information regarding the opening and closing times of tourist facilities, restaurants, shopping centers, etc.

[0632] "Reservation availability information" refers to information regarding the reservation status and availability of hotels, tours, restaurants, etc.

[0633] "Emotional state" refers to the psychological and emotional state of a traveler, including stress, relaxation, and tension.

[0634] "Travel itinerary" refers to the time-based plan for various activities and travel during a trip.

[0635] "Dynamic adjustment" means modifying and optimizing travel plans on the spot in response to real-time changes in circumstances and conditions.

[0636] This invention is a system that generates an optimized travel plan based on the traveler's preferences and emotional state. The system is configured as follows:

[0637] The server first receives traveler preferences and, based on this, collects real-time information via the internet, such as transportation timetables, facility opening hours, and reservation availability. Next, it recognizes the traveler's emotional state using voice and facial expression data obtained from the user's device. For this purpose, it uses speech recognition libraries (e.g., Google Speech-to-Text API) and emotion analysis libraries (e.g., Microsoft Azure Emotion API). This makes it possible to dynamically adjust the travel itinerary according to the traveler's stress and relaxation levels.

[0638] For example, if a user expresses a desire for a relaxing trip despite a busy schedule, the system will detect that their speaking speed and tone indicate tension. In this case, the server will suggest a travel plan that prioritizes relaxation, adjusting it to include spa treatments and leisurely travel time.

[0639] This entire process allows travelers to receive travel plans tailored to their emotional state, leading to increased satisfaction. For example, prompts could include requests such as, "Please suggest travel options for when I want to relax." To achieve this, the system utilizes a server, a voice recognition device, a facial recognition camera, and related software.

[0640] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0641] Step 1:

[0642] The user enters travel preferences via their device. This includes information such as destination, travel duration, and desired activities. The device collects this information and sends it to the server. Based on the input data, the server prepares to create an initial travel plan.

[0643] Step 2:

[0644] The server collects real-time transportation schedules, facility opening hours, and reservation availability information via the internet. This data is used to create a detailed travel itinerary. The collected data is combined with desired information and processed to build the basis of the travel plan.

[0645] Step 3:

[0646] The user's device acquires audio data and converts it into text data using a speech recognition library. Furthermore, it captures facial expressions with a camera and analyzes the user's emotional state using an emotion analysis library. Based on this input data, the system identifies the user's emotional state and sends the results to the server.

[0647] Step 4:

[0648] The server integrates user preferences, real-time data, and emotional state to dynamically adjust the travel plan. For example, if stress is detected, it generates a plan that prioritizes relaxation. This results in a personalized travel itinerary.

[0649] Step 5:

[0650] The generated travel itinerary is sent to the user's device, allowing them to review and adjust it. Based on the traveler's feedback, the server readjusts the itinerary as needed, ensuring the best possible travel experience.

[0651] Step 6:

[0652] Based on the final travel plan, the server automatically executes the booking process for the selected services and products. The booking information is notified to the terminal, and the user can confirm their travel itinerary. This completes the entire process from travel planning to booking.

[0653] 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.

[0654] 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.

[0655] 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.

[0656] [Fourth Embodiment]

[0657] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0658] 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.

[0659] 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).

[0660] 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.

[0661] 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.

[0662] 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).

[0663] 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.

[0664] 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.

[0665] 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.

[0666] 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.

[0667] 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.

[0668] 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.

[0669] 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".

[0670] This invention is a system that automatically generates an optimal travel plan based on the traveler's desired travel information and provides comprehensive support up to the booking process. This system mainly consists of the following elements: The traveler inputs their desired travel information using a terminal, and the server receives this information. The server collects real-time information on transportation timetables, facility opening hours, and booking availability via the internet.

[0671] The server generates an optimized travel itinerary based on the collected information and the traveler's preferences, and sends this itinerary to the traveler's device. The itinerary will include destinations and activities that reflect the user's interests and preferences. The traveler reviews this itinerary on their device and makes adjustments as needed. Furthermore, if the traveler selects specific activities or facilities, the server executes the associated booking procedures.

[0672] Furthermore, if the server receives additional requests from travelers, it dynamically modifies existing travel itineraries to generate the latest schedule. In this process, the server interacts with multiple external systems to manage and update booking information. This allows travelers to plan and execute their trips without stress.

[0673] To give a concrete example, a traveler enters information into their device such as "3-day city tour," "desires nature walks and local cuisine experiences," and "moderate budget." The server receives this information and retrieves data on transportation and tourist facilities within the city. It then creates an optimal itinerary, including the order of visits and travel plans tailored to each day, and sends it to the device. The traveler can then view this plan, confirm the availability of restaurants of interest, and make reservations with a single click. This allows travelers to enjoy a seamless experience from the planning stage to the execution stage.

[0674] The following describes the processing flow.

[0675] Step 1:

[0676] The user enters their travel preferences using a device. Here, they specify details such as destinations, travel duration, budget, and activities of interest.

[0677] Step 2:

[0678] The terminal sends the entered information to the server. The server receives this information and recognizes it as a target for processing.

[0679] Step 3:

[0680] The server collects real-time transportation schedules, facility operating hours, and reservation availability information for the specified destination via the internet. This data collection utilizes public transportation APIs and official facility websites.

[0681] Step 4:

[0682] Based on the information collected by the server, an optimized travel itinerary tailored to the user's preferences is generated. This takes into account factors such as the efficiency of travel and the combination of popular local activities within the budget.

[0683] Step 5:

[0684] The server sends the generated travel itinerary to the user's device. The user reviews the itinerary on their device and requests any necessary corrections if they are not satisfied.

[0685] Step 6:

[0686] Based on the activity and facility selected by the user, the server uses an external reservation system to execute the reservation process.

[0687] Step 7:

[0688] After all planning and bookings are complete, the server sends the final travel plan to the user's device and prompts them for confirmation. The user can then review the final plan through their device and prepare for their trip.

[0689] (Example 1)

[0690] 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".

[0691] Modern travelers face the challenge of planning trips that accommodate complex and diverse needs, while the associated information gathering and procedures are burdensome. Furthermore, responding to sudden changes in plans is difficult. There is a need for systems that enable simpler and more flexible travel planning and execution.

[0692] 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.

[0693] In this invention, the server includes means for receiving travel preference information entered by travelers, means for collecting public transport timetable information, facility usage time information, and available information in real time via the internet, and means for generating an optimized travel itinerary using a generative model. This enables the creation of realistic and rapid travel plans that meet the diverse needs of travelers, as well as dynamic itinerary adjustments.

[0694] A "traveler" refers to an individual or group that plans a trip for the purpose of travel.

[0695] "Desired information" refers to the data of requests and conditions that travelers enter when planning their trip.

[0696] "Public transport" refers to means of transportation used by the general public, such as buses, trains, and airplanes.

[0697] "Timetable information" refers to data related to the operating schedules of public transportation.

[0698] A "facility" refers to a place or building that travelers are expected to visit.

[0699] "Usage time information" refers to data regarding the time periods during which a particular facility is available.

[0700] "Availability information" refers to data regarding the status of a particular service, facility, or activity as being available for booking or use.

[0701] A "generative model" refers to a machine learning or computational algorithm that generates the optimal solution using input data.

[0702] "Optimization" refers to the process of obtaining the most efficient or effective result under given conditions.

[0703] A "travel itinerary" refers to a schedule planned based on the traveler's wishes and preferences.

[0704] A "terminal" refers to an electronic device used by travelers to input, verify, and operate information.

[0705] "Reservation process" refers to a series of actions or system operations that travelers use to secure or utilize a specific service or product.

[0706] "External devices" refer to devices or networks that exist outside the system and are involved in the collection, management, and updating of information.

[0707] "Dynamically" refers to a state in which things are flexibly responded to, updated, or modified in response to changes in circumstances or conditions.

[0708] In this invention, the user first uses a terminal to input travel preference information. This terminal has a travel planning application installed, allowing the user to specify the number of days, budget, type of destination (e.g., nature walk, city sightseeing), etc., on the screen. The entered information is then transmitted from the terminal to the server.

[0709] Based on the information received, the server uses a generative AI model to generate prompt messages. For example, if a user inputs, "I would like a 3-day city tour, including nature walks and local cuisine experiences. My budget is moderate," this information will be sent to the AI ​​model as a prompt message.

[0710] The server will interact with public APIs and reservation systems, for example, to collect up-to-date data on public transport operations, facility operating hours, and available services via the internet. Based on the collected data, an optimized travel itinerary will be created by a generative AI model. This process will utilize scheduling algorithms and machine learning techniques. Required technologies include securing computing resources and managing data storage, which are expected to involve virtual servers and cloud services.

[0711] The generated travel plan is sent to the user's device, where they can view it in a browser or application. If necessary, the user can adjust the plan and make reservations for specific restaurants or attractions on their device. The server automatically processes the reservations and updates the details based on the user's selections.

[0712] This series of operations allows users to experience seamless and easy travel planning. The system features flexible planning capabilities that cater to diverse user needs.

[0713] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0714] Step 1:

[0715] The user enters travel preferences using their device. Specifically, the user accesses a form on their device screen and enters information such as the number of days of travel, the type of places they wish to visit (e.g., nature, cultural sites), and their budget. The input data is sent from the device to the server as material for generating prompt messages, which are then generated.

[0716] Step 2:

[0717] The server analyzes the request information received from the user and inputs it into an AI model that generates prompt messages. Specifically, the server analyzes the request information and converts it into a prompt message format. For example, if the user has conditions such as "desiring a 3-day trip," "city sightseeing," and "medium budget," it will generate a prompt message such as, "I would like a 3-day city sightseeing trip, and please propose a plan that includes nature walks and local cuisine experiences. The budget is set to medium."

[0718] Step 3:

[0719] The server collects real-time information on transportation services, facility operating hours, and available services via the internet. Specifically, the server retrieves the latest transportation information from external public APIs, and also obtains information on opening and closing times for facilities and accommodations, as well as the status of available services. After collection, this information is stored in a database and subjected to data processing.

[0720] Step 4:

[0721] The server uses an AI model to generate data, which is then combined with the user's preferences to create an optimized travel itinerary. Specifically, the server inputs prompts and collected data into the AI ​​model to optimize the schedule. This process also takes into account minimizing travel time and costs between different destinations. The output is then sent to the terminal as an optimized travel plan.

[0722] Step 5:

[0723] Users can review their travel plans on their devices and make any necessary adjustments. Specifically, they can view daily schedules and destination information on their devices and select their favorite restaurants and sightseeing spots. If any elements are selected, the server proceeds with the reservation process for those items.

[0724] Step 6:

[0725] The server automatically executes the booking process based on the user's selection. Specifically, for the selected activities and facilities, the server accesses an external booking system to confirm the reservation. Once the reservation is complete, the information is notified to the user's device and reflected in their travel plan.

[0726] Step 7:

[0727] When a user enters an additional request, the server dynamically updates the existing travel itinerary. Specifically, if the user wishes to add a different date or destination, the server again gathers external information and generates a new, optimized schedule via a generative AI model. This updated plan is then transferred to the device.

[0728] (Application Example 1)

[0729] 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".

[0730] Modern travelers seek to efficiently obtain information about the regions they visit and demand immediacy and flexibility when planning their trips. However, conventional travel planning systems fail to fully utilize real-time local information, making it difficult to provide travelers with the optimal travel experience tailored to their needs. As a result, travelers often experience uncertainty and stress regarding tourist information and facility reservations. This invention aims to solve these problems.

[0731] 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.

[0732] In this invention, the server includes a device for receiving desired itinerary information entered by travelers, a device for collecting real-time information on transportation schedules, facility operating hours, and reservation availability via the internet, and a device for providing visitors with real-time optimal travel routes and tourist destination information in conjunction with tourist information for a specific region. This enables travelers to plan their trips efficiently and flexibly based on real-time local information and enjoy a comfortable sightseeing experience.

[0733] A "traveler" is an individual who visits or plans a region for the purpose of travel or sightseeing.

[0734] "Desired information" refers to the requests and conditions that travelers have regarding their trip, and includes specific data such as places they want to visit, their budget, and the length of their stay.

[0735] The term "device" refers to a system of hardware or software designed to perform a specific function.

[0736] "Via the Internet" is a phrase that describes the process of transmitting and receiving information using a global communication network.

[0737] "Real-time" refers to a state or process where information is processed instantly the moment it is sent or received.

[0738] "Transportation timetable information" refers to information regarding the operating schedules of public transport and other modes of transportation.

[0739] "Facility operating hours information" refers to information about the hours during which a particular facility is open to the general public.

[0740] "Reservation availability information" refers to information indicating whether it is possible to reserve services or goods in advance.

[0741] A "travel plan" is a proposed itinerary that includes destinations, travel routes, and schedules, based on the traveler's wishes and external conditions.

[0742] "Tourism information" includes data about tourist destinations and events, providing information that is useful for travelers' activities and transportation at their destinations.

[0743] A "travel route" refers to the path or means of transport used by a traveler when moving between destinations.

[0744] The system implementing this invention consists of a robust server infrastructure for receiving desired information from travelers and collecting and analyzing real-time data on transportation and facilities, as well as user terminals for interactively exchanging information with travelers. The server can use Linux or Windows Server, and programs are executed using Python or Java on this environment.

[0745] The server first receives specific travel preference information entered by the user on their device. This information includes destination, duration, budget, and activities of interest. Based on this data, the server aggregates transportation timetables, facility operating hours, and reservation availability information via the internet. This can be done by utilizing external APIs and databases, such as using services like "Google Maps API" or "OpenWeatherMap."

[0746] After the information is aggregated, the server uses a generative AI model to optimize the travel plan. The generative AI model analyzes a large amount of tourist information and the user's past data to suggest the optimal order of destinations and travel routes. This tourist information includes recommended spots and events in specific regions, and candidates that are most likely to interest the user are selected as recommendations.

[0747] An application running on iOS or Android is installed on the user's device, and the generated travel plan is displayed interactively. Users can check the plan using their device and make changes or adjustments on the spot as needed, and the updated information is reflected on the server in real time.

[0748] As a concrete example, suppose a traveler requests a "3-day city tour" and simultaneously wants to "experience nature walks and local cuisine." Based on this, the server searches for information on all transportation options and tourist facilities within the city and proposes the optimal itinerary. The user can then review this proposal on their smartphone and easily book the activities that interest them.

[0749] Examples of prompt statements include:

[0750] "A user is requesting a sightseeing plan for Sydney. Please create a system that proposes an efficient 3-day travel plan covering major tourist attractions and handles the necessary booking procedures. In particular, please consider optimizing transportation convenience and participation in local events."

[0751] The following are possible contents.

[0752] In this way, travelers can experience a smooth process from planning to execution.

[0753] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0754] Step 1:

[0755] The user enters their travel preferences into the device.

[0756] The input includes travel destination, desired activities, budget, and itinerary. The device sends this information to the server. The output of this process is structured traveler preference data.

[0757] Step 2:

[0758] The server analyzes the received request data and collects relevant transportation schedules, facility operating hours, and reservation availability information via the internet.

[0759] The input is the user's desired data, which is used to retrieve real-time information related to the destination from databases and external APIs. The output is a dataset that integrates all of this information.

[0760] Step 3:

[0761] The server utilizes a generative AI model to generate the optimal travel plan based on collected information and desired data.

[0762] The input here is an integrated dataset, and the AI ​​model determines the order of destinations and travel routes, outputting an optimized travel plan.

[0763] Step 4:

[0764] The server sends the generated travel plan to the user's terminal.

[0765] The input is an optimized travel plan, and the output is schedule information visualized in an application on the user's device. The user then uses this to refine the travel plan and make any necessary adjustments on their device.

[0766] Step 5:

[0767] Users can use their devices to finalize their travel plans and request necessary bookings.

[0768] The input is the confirmed travel plan, and the output is the details of the reservations to be made. The terminal sends this information to the server.

[0769] Step 6:

[0770] The server will book services and secure goods based on the finalized plan.

[0771] This involves making reservations for necessary facilities and services through communication with the reservation platform. The input here is confirmation information from the user, and the output is a reservation completion notification.

[0772] Step 7:

[0773] The server sends the booking information to the terminal and visually presents the final travel plan.

[0774] The final output is a display on the device showing the entire travel itinerary and confirmed booking details. The user can then confirm this on the device and be ready to proceed with their trip.

[0775] 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.

[0776] This invention extends conventional systems that generate optimal travel plans based on travelers' preferences, providing a system that dynamically offers travel plans that take into account the traveler's emotional state. The system transmits information entered through the traveler's terminal to a server, which then creates a travel schedule based on that information. The process begins with the server collecting real-time transportation timetables, facility opening hours, and reservation availability information via the internet.

[0777] The newly added emotion engine recognizes emotions through voice, text, and gesture data acquired from the user's device, and adjusts the travel information and suggestions provided based on those emotions. This engine analyzes the user's emotional state from different types of sensor data and user interface responses. For example, it can change the plan suggestions depending on whether the user appears cheerful or tired.

[0778] As a concrete example, suppose a user enters travel information on their device and requests, "I want a relaxing trip even though I'm busy." The server generates a basic travel plan, and at the same time, the emotion engine recognizes the user's recent stress level. For example, if the user speaks quickly and their voice tone is tense, the server adjusts the suggested plan to include relaxation-focused spa treatments and leisurely travel time.

[0779] This invention makes it possible to provide customized travel experiences tailored to the emotions and circumstances of individual travelers, thereby increasing their satisfaction during their trips. This entire process is carried out collaboratively by a server, terminal, and emotion engine, ensuring that users can enjoy planning and executing their trips without stress.

[0780] The following describes the processing flow.

[0781] Step 1:

[0782] The user enters their travel preferences using a device. This includes specifying destinations, travel duration, activities of interest, and budget.

[0783] Step 2:

[0784] The terminal sends the entered desired information to the server. The server receives this information and prepares to begin processing.

[0785] Step 3:

[0786] The server collects real-time information on transportation schedules, facility operating hours, and reservation availability via the internet. This information collection utilizes APIs and data from the official websites of transportation and facility operators.

[0787] Step 4:

[0788] The server uses the requested information and collected data to create a preliminary travel itinerary for the user. At this stage, a basic visiting schedule is set.

[0789] Step 5:

[0790] The system acquires emotional data from the device. The device sends user voice, text input, or facial expression data to the emotion engine for emotional analysis.

[0791] Step 6:

[0792] The emotion engine analyzes the user's current emotional state and assesses their stress and pleasure levels. The analysis results are used to determine whether the user needs relaxation or desires active engagement.

[0793] Step 7:

[0794] The server dynamically adjusts the travel plan based on emotional data provided by the emotion engine. For example, if the user is seeking relaxation, it will incorporate spa treatments or nature walks into the schedule. If the user desires active activities, it will suggest sports events or attractions.

[0795] Step 8:

[0796] The server sends the finalized travel plan to the user's device. The user can then review the plan on their device and make further adjustments or reservations if necessary.

[0797] Step 9:

[0798] If the user is satisfied with the travel plan, the server automatically executes the booking process using an external system it is connected to. This completes the detailed arrangements for the trip.

[0799] (Example 2)

[0800] 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".

[0801] Traditional travel planning systems only generate schedules based on travelers' basic preferences, and lack the flexibility to adjust plans to reflect the traveler's emotional state. There is a need to provide more personalized services that reflect travelers' stress levels and emotional shifts.

[0802] 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.

[0803] In this invention, the server includes means for analyzing emotions based on voice data, text data, and gesture data acquired from the traveler's terminal; means for dynamically adjusting the travel itinerary based on the emotion analysis results; and means for transmitting the generated travel itinerary to the terminal, enabling confirmation and adjustment. This makes it possible to provide an optimal travel plan that is tailored to the traveler's emotional state.

[0804] A "traveler's terminal" is a device used by travelers that is a communication device capable of inputting and receiving information.

[0805] "Desired information" refers to information that includes the traveler's requests regarding their trip, such as desired destination, dates, and activities.

[0806] "Timetable information" refers to information that shows the operating schedule of public transportation.

[0807] "Business information" refers to information indicating the operating hours of a facility or store.

[0808] "Reservation availability information" refers to information indicating whether a facility or service is currently available for reservation.

[0809] A "comprehensive and optimized itinerary" is a travel schedule that is efficient and comprehensive, based on the traveler's preferences and collected external information.

[0810] "Audio data" refers to sound information obtained from the speech of travelers.

[0811] "Text data" refers to the character information entered by the user.

[0812] "Gesture data" refers to information about a user's body language and hand movements.

[0813] "Sentiment analysis" is the process of estimating a traveler's psychological state based on acquired data.

[0814] "Dynamic adjustment" refers to flexibly changing schedules and plans in response to real-time information and circumstances.

[0815] This invention is a system that provides travel plans that take into account the traveler's feelings. The user inputs travel preferences using a traveler terminal. The terminal transmits the collected information to a server. The server obtains real-time information on transportation timetables, facility operating hours, and reservation availability via the internet, and generates an itinerary based on the preferences.

[0816] Voice data, text data, and gesture data are acquired from the traveler's device. Based on this data, the server's emotion engine performs sentiment analysis. The emotion engine processes the input data using a generative AI model to estimate the traveler's emotional state. For example, it can detect a tense situation from the tone and speed of voice and suggest a plan that prioritizes relaxation.

[0817] Based on the results of sentiment analysis, the server dynamically adjusts the travel itinerary. For example, if a user requests to visit a relaxing tourist destination despite being stressed at work, the server will generate a schedule that includes relaxation-related spots such as spas and hot springs.

[0818] The travel itinerary generated on the server is sent to the user's device, where the user can review the details. The user can also adjust the itinerary. An example of an input prompt for the generating AI model is, "Suggest the best travel destination if the user is looking to relax."

[0819] This system allows travelers to receive a customized travel experience tailored to their emotions and circumstances, thereby increasing their satisfaction during their trip.

[0820] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0821] Step 1:

[0822] Users enter their travel preferences using a traveler's terminal. The terminal receives detailed information such as destination, dates, and desired activities, and sends it to the server. The entered information is stored in a database.

[0823] Step 2:

[0824] Based on the requested information received, the server collects real-time timetable information, service information, and reservation availability information via the internet. Data obtained from external APIs is integrated within the server and used as basic data for schedule generation.

[0825] Step 3:

[0826] The server generates a basic travel itinerary using the collected information and the user's preferences. A scheduling algorithm is used in the process, taking into account efficient travel routes and time allocation. The generated itinerary information is temporarily stored.

[0827] Step 4:

[0828] The device acquires additional voice data, text data, and gesture data, which are then sent to the server. This data is used as input to understand the user's emotions.

[0829] Step 5:

[0830] The server's emotion engine inputs the acquired data into an emotion analysis model to estimate the user's emotional state. A generative AI model is used to extract data features and classify emotions. The results of the emotion analysis are then used for further processing.

[0831] Step 6:

[0832] Based on the results of the sentiment analysis, the server dynamically adjusts the basic travel itinerary. For example, if the user is experiencing a lot of stress, activities that include relaxation will be prioritized. This adjustment completes the final travel itinerary.

[0833] Step 7:

[0834] The travel itinerary, adjusted on the server, is sent to the user's device for review. The user can review the provided plan and make additional requests or changes through their device. The final itinerary is confirmed only after obtaining the user's consent.

[0835] (Application Example 2)

[0836] 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".

[0837] When creating travel plans, it is necessary to provide plans that reflect not only the traveler's preferences but also their emotional state at the time. However, conventional systems present standardized plans without considering emotions, which presents a challenge in adequately increasing traveler satisfaction.

[0838] 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.

[0839] In this invention, the server includes means for receiving desired information entered by travelers, means for collecting real-time information on transportation timetables, facility operating hours, and reservation availability via the internet, and means for recognizing the emotional state from the user's voice and facial expressions and dynamically adjusting the proposed travel itinerary. This makes it possible to provide travel plans that take into account the emotional state of travelers.

[0840] A "traveler" is an individual or group that plans and carries out a trip.

[0841] "Desired information" refers to information that includes details such as the traveler's desired destination, duration, and activities.

[0842] "Transportation timetable information" refers to information regarding the operating schedules of trains, buses, airplanes, and other public transportation.

[0843] "Facility operating hours information" refers to information regarding the opening and closing times of tourist facilities, restaurants, shopping centers, etc.

[0844] "Reservation availability information" refers to information regarding the reservation status and availability of hotels, tours, restaurants, etc.

[0845] "Emotional state" refers to the psychological and emotional state of a traveler, including stress, relaxation, and tension.

[0846] "Travel itinerary" refers to the time-based plan for various activities and travel during a trip.

[0847] "Dynamic adjustment" means modifying and optimizing travel plans on the spot in response to real-time changes in circumstances and conditions.

[0848] This invention is a system that generates an optimized travel plan based on the traveler's preferences and emotional state. The system is configured as follows:

[0849] The server first receives traveler preferences and, based on this, collects real-time information via the internet, such as transportation timetables, facility opening hours, and reservation availability. Next, it recognizes the traveler's emotional state using voice and facial expression data obtained from the user's device. For this purpose, it uses speech recognition libraries (e.g., Google Speech-to-Text API) and emotion analysis libraries (e.g., Microsoft Azure Emotion API). This makes it possible to dynamically adjust the travel itinerary according to the traveler's stress and relaxation levels.

[0850] For example, if a user expresses a desire for a relaxing trip despite a busy schedule, the system will detect that their speaking speed and tone indicate tension. In this case, the server will suggest a travel plan that prioritizes relaxation, adjusting it to include spa treatments and leisurely travel time.

[0851] This entire process allows travelers to receive travel plans tailored to their emotional state, leading to increased satisfaction. For example, prompts could include requests such as, "Please suggest travel options for when I want to relax." To achieve this, the system utilizes a server, a voice recognition device, a facial recognition camera, and related software.

[0852] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0853] Step 1:

[0854] The user enters travel preferences via their device. This includes information such as destination, travel duration, and desired activities. The device collects this information and sends it to the server. Based on the input data, the server prepares to create an initial travel plan.

[0855] Step 2:

[0856] The server collects real-time transportation schedules, facility opening hours, and reservation availability information via the internet. This data is used to create a detailed travel itinerary. The collected data is combined with desired information and processed to build the basis of the travel plan.

[0857] Step 3:

[0858] The user's device acquires audio data and converts it into text data using a speech recognition library. Furthermore, it captures facial expressions with a camera and analyzes the user's emotional state using an emotion analysis library. Based on this input data, the system identifies the user's emotional state and sends the results to the server.

[0859] Step 4:

[0860] The server integrates user preferences, real-time data, and emotional state to dynamically adjust the travel plan. For example, if stress is detected, it generates a plan that prioritizes relaxation. This results in a personalized travel itinerary.

[0861] Step 5:

[0862] The generated travel itinerary is sent to the user's device, allowing them to review and adjust it. Based on the traveler's feedback, the server readjusts the itinerary as needed, ensuring the best possible travel experience.

[0863] Step 6:

[0864] Based on the final travel plan, the server automatically executes the booking process for the selected services and products. The booking information is notified to the terminal, and the user can confirm their travel itinerary. This completes the entire process from travel planning to booking.

[0865] 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.

[0866] 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.

[0867] 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.

[0868] 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.

[0869] 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.

[0870] 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.

[0871] 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.

[0872] 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.

[0873] 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."

[0874] 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.

[0875] 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.

[0876] 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.

[0877] 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.

[0878] 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.

[0879] 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.

[0880] 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.

[0881] 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.

[0882] 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.

[0883] 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.

[0884] 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.

[0885] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0886] The following is further disclosed regarding the embodiments described above.

[0887] (Claim 1)

[0888] A means of receiving travel preference information entered by travelers,

[0889] A means of collecting real-time transportation timetable information, facility operating hours information, and reservation availability information via the internet,

[0890] A means for generating a comprehensive and optimized travel itinerary based on the aforementioned desired information and collected information,

[0891] A means of sending the generated travel itinerary to the traveler's device, enabling confirmation and adjustment,

[0892] Based on the travel itinerary, the means to carry out the booking procedure for selected services and products,

[0893] A system that includes this.

[0894] (Claim 2)

[0895] The system according to claim 1, further comprising means for accepting additional requests from travelers and dynamically adjusting the travel itinerary.

[0896] (Claim 3)

[0897] The system according to claim 1, further comprising means for managing and updating reservation information in cooperation with multiple external systems.

[0898] "Example 1"

[0899] (Claim 1)

[0900] A means of receiving travel preference information entered by travelers,

[0901] A means of collecting public transport timetable information, facility operating hours information, and available information in real time via the internet,

[0902] A means for generating an optimized travel itinerary using a generative model based on the aforementioned desired information and collected information,

[0903] A means for sending the generated travel itinerary to the traveler's computer, enabling confirmation and adjustment,

[0904] Based on the travel itinerary, the means to carry out the booking procedure for selected activities and products,

[0905] A system that includes this.

[0906] (Claim 2)

[0907] The system according to claim 1, further comprising means for accepting additional requests from travelers and dynamically modifying the travel itinerary.

[0908] (Claim 3)

[0909] The system according to claim 1, further comprising means for managing and updating reservation information in cooperation with multiple external devices.

[0910] "Application Example 1"

[0911] (Claim 1)

[0912] A device that receives traveler's preferred itinerary information,

[0913] A device that collects real-time information on transportation schedules, facility operating hours, and reservation availability via the internet,

[0914] A device that generates a comprehensive and optimized travel plan based on the aforementioned desired information and collected information,

[0915] A device that transmits the generated travel plan to the traveler's device, enabling confirmation and adjustment,

[0916] A device that performs the booking procedure for selected services and products based on the travel plan,

[0917] A device that links with tourism information for a specific region to provide visitors with the most suitable travel routes and tourist destination information in real time,

[0918] A system that includes this.

[0919] (Claim 2)

[0920] The system according to claim 1, further comprising a device for accepting additional requests from travelers and dynamically adjusting the travel plan.

[0921] (Claim 3)

[0922] The system according to claim 1, further comprising a device that manages and updates reservation information in cooperation with multiple external devices, and further integrates information on transportation and facilities based on guidance information.

[0923] "Example 2 of combining an emotion engine"

[0924] (Claim 1)

[0925] A means of receiving travel preference information entered by travelers,

[0926] A means of collecting timetable information, service information, and reservation availability information in real time via the internet,

[0927] A means for generating a comprehensive and optimized schedule based on the aforementioned desired information and collected information,

[0928] A means of analyzing emotions based on voice data, text data, and gesture data acquired from a traveler's device,

[0929] A means for dynamically adjusting the travel itinerary based on the aforementioned sentiment analysis results,

[0930] A means to send the generated travel itinerary to a device, enabling confirmation and adjustment,

[0931] Based on the schedule, the means of carrying out the procedures for the selected services and products,

[0932] A system that includes this.

[0933] (Claim 2)

[0934] The system according to claim 1, further comprising means for accepting additional requests from travelers and dynamically adjusting the said itinerary.

[0935] (Claim 3)

[0936] The system according to claim 1, further comprising means for managing and updating information in cooperation with multiple external systems.

[0937] "Application example 2 when combining with an emotional engine"

[0938] (Claim 1)

[0939] A means of receiving travel preference information entered by travelers,

[0940] A means of collecting real-time transportation timetable information, facility operating hours information, and reservation availability information via the internet,

[0941] A means of generating a comprehensive and optimized travel itinerary based on desired information and collected information,

[0942] A means of transmitting the generated travel itinerary to the traveler's device, enabling confirmation and adjustment,

[0943] Based on the travel itinerary, the means to carry out the booking procedure for selected services and products,

[0944] A means of recognizing the emotional state from the user's voice and facial expressions and dynamically adjusting the suggested travel itinerary,

[0945] A system that includes this.

[0946] (Claim 2)

[0947] The system according to claim 1, further comprising means for accepting additional requests from travelers and dynamically adjusting the travel itinerary.

[0948] (Claim 3)

[0949] The system according to claim 1, further comprising means for integrating and updating reservation information in cooperation with multiple external systems. [Explanation of symbols]

[0950] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A device that receives traveler's preferred itinerary information, A device that collects real-time information on transportation schedules, facility operating hours, and reservation availability via the internet, A device that generates a comprehensive and optimized travel plan based on the aforementioned desired information and collected information, A device that transmits the generated travel plan to the traveler's device, enabling confirmation and adjustment, A device that performs the booking procedure for selected services and products based on the travel plan, A device that links with tourism information for a specific region to provide visitors with the most suitable travel routes and tourist destination information in real time, A system that includes this.

2. The system according to claim 1, further comprising a device for accepting additional requests from travelers and dynamically adjusting the travel plan.

3. The system according to claim 1, further comprising a device that manages and updates reservation information in cooperation with multiple external devices, and further integrates information on transportation and facilities based on guidance information.

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