system

Abstract

We provide the system. [Solution] A means for inputting information for the user's travel requirements, A means of acquiring information that collects travel-related information from an external database in real time, A plan generation method that automatically generates travel plans that match the user's requirements based on collected information, A feedback mechanism that presents the generated travel plan to the user and accepts their feedback, A plan adjustment mechanism to readjust travel plans based on feedback, A route suggestion method that collects information on tourist resources within a city and proposes tourist routes in real time based on the user's location information, 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 persona chatbot control method performed by at least one processor, including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance as a response to the user utterance.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] When planning a trip, users have problems such as the need to spend a great deal of time and effort to efficiently find the best prices for air tickets and accommodation facilities, and to manage the schedules of events to participate in and facilities to visit locally. In addition, users need to adjust their travel schedules so as not to affect their own important schedules, and this process is complicated. As a result, it is difficult for users to create an optimal travel plan more easily, quickly, and within budget.

Means for Solving the Problems

[0005] This invention provides a system that collects information on flights, accommodations, and local events from an external database in real time, based on the user's travel requirements. Based on the collected information, it automatically generates an optimal travel plan that matches the user's preferences and presents this plan to the user. The generated travel plan can be readjusted based on user feedback, and it also includes a schedule adjustment function that takes into account the user's important appointments. This allows the user to create the most economical and suitable travel plan while saving time and effort.

[0006] "Information input means" refers to the interface that allows users to input their travel requirements into the system.

[0007] "Information acquisition means" refers to the function of collecting travel-related information in real time from external databases.

[0008] A "plan generation method" refers to a mechanism that automatically creates travel plans that match the user's desired conditions based on the collected information.

[0009] "Feedback mechanisms" refer to features that present users with generated travel plans and allow them to provide feedback and suggestions for revisions.

[0010] "Plan adjustment mechanism" refers to a system that re-evaluates travel plans based on user feedback and readjusts them to the optimal form.

[0011] "Reservation method" refers to the function of making reservations for airline tickets and accommodations based on a confirmed travel plan.

[0012] "Schedule adjustment means" refers to a function that allows users to adjust their travel schedule so as not to affect their important appointments. [Brief explanation of the drawing]

[0013] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] It is a conceptual diagram showing an example of the main functions of a data processing device and a smart device according to the first embodiment. [Figure 3] It is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] It is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] It shows an emotion map to which a plurality of emotions are mapped. [Figure 10] It shows an emotion map to which a plurality of emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when an emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when an emotion engine is combined.

Mode for Carrying Out the Invention

[0014] 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.

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

[0016] In the following embodiments, the 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.

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

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

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

[0020] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0021] [First Embodiment]

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

[0023] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0024] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0025] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0026] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0027] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0028] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

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

[0030] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0031] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0032] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0033] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0034] This invention provides a system that enables users to create travel plans efficiently and economically. Its embodiments are described in detail below.

[0035] First, the user enters their travel destination, dates, budget, desired hotel conditions, events or restaurants they want to visit, and important appointments via their device. This information is sent to the server and used as basic data for the travel plan.

[0036] The server connects to databases of external airline and hotel information providers to obtain the best flight and hotel rates in real time. Furthermore, it collects data on local events, restaurant opening hours, and congestion forecasts.

[0037] Based on the collected information, the server automatically generates a travel plan that best suits the user's requirements. This travel plan includes the most economical flight and hotel combinations, as well as a schedule of local events and restaurant visits.

[0038] The generated travel plan is presented to the user via their device. The user can review the plan and provide feedback as needed, such as requesting changes to the visit dates or adding specific events.

[0039] The server readjusts the travel plan based on user feedback. It's designed to regenerate an optimal travel schedule, taking into account scheduling to avoid important events before and after. The adjusted plan is then presented to the user again via their device.

[0040] Once the user approves the final plan, the server proceeds with the flight and accommodation booking process. This entire process allows users to easily finalize the travel plan that best suits their needs without any hassle.

[0041] The following describes the processing flow.

[0042] Step 1:

[0043] The user uses their device to enter travel requirements such as their destination, desired dates, budget, hotel preferences, events or restaurants they wish to visit, and important appointments.

[0044] Step 2:

[0045] The server receives user input information sent from the terminal and stores it as basic data for the travel plan.

[0046] Step 3:

[0047] The server connects to an external database to collect real-time information on flight sales, hotel rates, local events, and restaurants. This information is used to match user requirements.

[0048] Step 4:

[0049] The server analyzes the collected information and automatically generates the travel plan best suited to the user's requirements. The plan includes the optimal flight and hotel combinations, event schedules, and restaurant visits.

[0050] Step 5:

[0051] The server sends the generated travel plan to the device. The device then presents this to the user and provides an interface for confirmation and feedback.

[0052] Step 6:

[0053] Users review the presented travel plan and, if necessary, send feedback to the server via their device, such as changing the visit dates or adding events to participate in.

[0054] Step 7:

[0055] The server receives user feedback and readjusts the travel plan. It adjusts the schedule to avoid impacting important appointments and updates the plan in the best possible way.

[0056] Step 8:

[0057] The server sends the revised travel plan back to the terminal and asks the user for final confirmation. If the user approves the plan, the server proceeds with booking flights and accommodations.

[0058] (Example 1)

[0059] 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."

[0060] Traditional travel planning required users to manually sift through vast amounts of information to create the optimal plan, which was time-consuming and laborious. Furthermore, it was difficult to flexibly adjust plans to meet diverse user needs and to gather information in real time. Therefore, there was a need to improve the efficiency and accuracy of travel planning and reduce the burden on users.

[0061] 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.

[0062] In this invention, the server includes information acquisition means for acquiring travel-related information in real time from an external data supply device, plan generation means for analyzing the acquired information and automatically generating an optimal travel plan for the user's needs using a generated AI model, and plan adjustment means for reconfiguring the travel plan based on user feedback. This enables the user to obtain an optimal travel plan quickly and efficiently, and also facilitates flexible adjustments based on feedback.

[0063] "Information input means" refers to a device or method that provides an interface for a user to input travel-related requests and conditions.

[0064] "Information acquisition means" refers to a device or method for acquiring the latest travel-related information in real time from an external data source.

[0065] A "plan generation means" is a device or method that analyzes acquired information and uses a generation AI model to automatically create a travel plan that suits the user's needs.

[0066] "Feedback collection means" refers to a device or method for collecting opinions and requests from users regarding the generated travel plan.

[0067] "Planning adjustment means" refers to a device or method for reconstructing a travel plan based on feedback collected from users and making appropriate adjustments.

[0068] A "booking execution means" is a device or method for confirming reservations for air tickets and accommodations based on an optimized travel plan.

[0069] "Schedule adjustment means" refers to a device or method for readjusting the specific travel dates and schedules, taking into account the user's important dates and schedules.

[0070] This invention provides a system that enables users to create travel plans efficiently and economically. Detailed embodiments are described below.

[0071] First, the user enters their travel requests using a device. This device, such as a personal computer or smartphone, is used to input destination, travel dates, budget, accommodation requirements, and desired events or restaurants. This information is then transmitted to the server using a secure communication protocol.

[0072] The server connects to an external data supply device as a means of acquiring information and collects a variety of travel-related data in real time, such as flight and accommodation information, local event schedules, restaurant opening hours, and congestion forecasts. Here, commonly used APIs and database management systems (for example, MySQL®) are used as database connection software.

[0073] Based on the collected data, the server utilizes a generative AI model to generate the optimal travel plan for the user's requirements. This generative AI model analyzes data patterns and suggests the best flight and hotel combinations. For example, if a user inputs requirements such as "a 3-day trip to Tokyo with a budget of 50,000 yen and accommodation near Ginza," the AI ​​model will design the optimal plan based on this information.

[0074] The generated travel plan is displayed on the device, allowing the user to review the plan details. Users can send feedback to the server as needed, requesting further customization such as date changes or event additions. For example, by entering "Tokyo trip, 3 days, budget 50,000 yen, Ginza accommodation, including art event visits" as a prompt, the AI ​​model can adjust its suggestions.

[0075] Finally, based on the travel plan approved by the user, the server proceeds with the booking process for airfare and accommodations via the booking execution mechanism. After the booking is complete, a confirmation email is sent to the user, and the details of the travel plan can be managed on the device. This entire process allows users to finalize their travel plans quickly and easily.

[0076] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0077] Step 1:

[0078] Users use their devices to input information about their travel destination, itinerary, budget, accommodation requirements, and desired events and restaurants. The entered data is securely transmitted from the device to the server. The server receives this information and stores it in a database as basic data for travel planning.

[0079] Step 2:

[0080] The server uses information acquisition methods to obtain the latest travel-related information from external data supply devices. Specifically, it obtains airline ticket prices, accommodation availability, and local event and restaurant operating information via APIs. The acquired data is stored in the server's internal database and used for analysis.

[0081] Step 3:

[0082] The server uses a generative AI model to create travel plans based on the collected data. The AI ​​model selects the flight and accommodation combination that best suits the user's requirements and generates a travel plan that includes event schedules and restaurant visit plans. In this generation process, the model analyzes multiple data patterns to derive the optimal solution.

[0083] Step 4:

[0084] The generated travel plan is sent from the server to the device and displayed on the user's screen. The user reviews the provided plan and sends feedback from their device if they need to change specific conditions. This feedback may include specific requests such as changing the itinerary or adding events.

[0085] Step 5:

[0086] Based on user feedback, the server reconfigures the travel plan using planning adjustment tools. New conditions are input into the AI ​​model, and the plan is generated again. The output is a travel plan adjusted to meet the user's new requirements.

[0087] Step 6:

[0088] Once the user approves the final travel plan, the server makes the flight and accommodation reservations through the booking execution mechanism. After the reservation is complete, the details are sent again to the user's device, and a confirmation email is also automatically sent. This allows the user to easily confirm their reservation.

[0089] (Application Example 1)

[0090] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0091] Creating an efficient and economical travel plan requires gathering information and proper planning, but this is time-consuming for users, and obtaining real-time information and adjusting schedules on-site presents challenges. Furthermore, especially for sightseeing within cities, there is a need for optimal route suggestions that take into account constantly changing congestion levels and event information.

[0092] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0093] In this invention, the server includes information input means for inputting the user's travel requirements, information acquisition means for collecting travel-related information from an external database in real time, and route suggestion means for collecting information on tourist resources within a city and suggesting tourist routes in real time based on the user's location information. This makes it possible to generate and adjust efficient and attractive travel plans that take into account the user's preferences and real-time city information.

[0094] "Information input means" refers to a function that allows users to input travel requirements and conditions via a terminal.

[0095] "Information acquisition means" refers to a function that accesses external databases to collect information related to travel, such as airline tickets, accommodations, events, and restaurants, in real time.

[0096] The "plan generation method" is a function that automatically generates the optimal travel plan that matches the user's travel requirements based on the collected information.

[0097] A "feedback mechanism" is a function that presents the generated travel plan to the user and allows for the collection of opinions and requests from the user.

[0098] The "plan adjustment mechanism" is a function that readjusts and optimizes travel plans based on user feedback.

[0099] The "route suggestion method" is a function that suggests the optimal sightseeing route in real time, taking into account the user's location information, based on information about tourist resources within the city.

[0100] "Reservation method" refers to a function that allows users to make reservations for the most suitable means of transportation and accommodation based on the generated travel plan.

[0101] The system for realizing this invention is centered around a server and a user terminal. The server launches a program that includes means for inputting information, acquiring information, generating plans, providing feedback, adjusting plans, suggesting routes, and making reservations for the user. The user terminal is a smartphone, smart glasses, mobile computer, etc., and functions as an interface for the user to input information, receive travel plan suggestions, and provide feedback.

[0102] The server, for example, is built on a cloud infrastructure and accesses external databases via the internet through an information acquisition means to collect information such as airline tickets, accommodations, events, and restaurants in real time. The collected information is analyzed by a plan generation means to generate a travel plan that best suits the user's requirements. The generated plan is sent to the user's terminal and displayed on the interface. The user provides feedback as needed, and the plan is further optimized by a plan adjustment means. In addition, a route suggestion means utilizes GPS information to suggest the optimal route for sightseeing within a city, calculating the best route from local tourist resource information and presenting it to the terminal.

[0103] When the server executes a booking, it sends relevant flight and accommodation information to the booking database based on the plan approved by the user, and the booking process is executed. The software used includes, for example, Google® Maps API and cloud booking system APIs.

[0104] As a concrete example, when traveler A visits Tokyo, this system proposes a plan to visit Ueno Park, Senso-ji Temple, and the Akasaka area. It provides a plan that visualizes the optimal route, taking into account travel time and congestion.

[0105] The prompt for the generating AI model can be set to, "Please suggest recommended sightseeing routes in real time within the city the user is visiting. Please include restaurants, cultural events, and shopping spots."

[0106] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0107] Step 1:

[0108] The user enters travel requirements such as destination, budget, and itinerary via a terminal. The entered data is sent to the server and received by the information input device. The entered data is stored on the server as basic information for generating a travel plan.

[0109] Step 2:

[0110] The server accesses external databases in real time using information retrieval methods. It collects information on airline tickets, accommodations, events, restaurants, etc., and the information retrieved from the database is filtered according to the travel itinerary and converted into data relevant to the user's requirements.

[0111] Step 3:

[0112] The server analyzes the information collected using the plan generation mechanism. It applies data analysis algorithms to create the optimal travel plan for the user's requirements, generating an optimized travel schedule and list of destinations. This generated plan is then sent to the user's terminal.

[0113] Step 4:

[0114] The generated travel plan is presented to the user's device. The user reviews the plan and provides feedback as needed. This feedback may include adding destinations or adjusting the schedule. The server receives this information through the feedback mechanism.

[0115] Step 5:

[0116] The server uses a plan adjustment mechanism to readjust the travel plan based on feedback. Upon user request, it runs a new optimization process and generates a revised plan. This plan is then sent back to the user.

[0117] Step 6:

[0118] The server uses route suggestion tools to utilize the user's current location information and calculate sightseeing routes within the city in real time. Based on GPS data and a city tourism database, it calculates available route information and displays the route visually on the device.

[0119] Step 7:

[0120] Once the user approves the final plan, the server uses the booking method to proceed with booking flights and accommodations. It generates the necessary data for the booking and sends it to a partnered external booking system to confirm the reservation.

[0121] 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.

[0122] This invention is a system that streamlines the user's travel planning process and provides travel plans optimized according to their individual emotional state. This system collects information in real time based on the requirements entered by the user and further generates and adjusts plans that take the user's emotional state into consideration using an emotion engine.

[0123] First, the user uses a terminal to enter their travel destination, dates, budget, accommodation preferences, events or facilities they wish to visit, and any other important appointments. Once this information is sent to the server, the system receives it through a designated input method and records it as basic data for the travel plan.

[0124] The server uses information acquisition tools to access external databases and collect real-time information on airfare, hotel prices, and local events. Based on this information, the server uses plan generation tools to automatically generate the travel plan best suited to the user's requirements.

[0125] Next, along with the collected plan information, the emotion engine analyzes the user's emotions and uses this information to generate and adjust the plan. For example, if a user expresses high satisfaction with a particular travel destination, the system can generate a plan that prioritizes that option.

[0126] The generated travel plan is presented to the user via their device, allowing them to review its contents and provide feedback. For example, if a user is dissatisfied with the presented travel destination, the emotion engine detects this dissatisfaction and works in conjunction with the plan generation system to make adjustments.

[0127] Upon receiving feedback from the user, the server utilizes the feedback mechanism to readjust the travel plan and, if necessary, uses the emotion engine to make further improvements. Finally, once the plan is approved, taking both the user's requests and emotions into consideration, the booking mechanism is used to execute the booking of flights and accommodations.

[0128] This system allows users to obtain customized travel plans that reflect their own feelings, resulting in a more satisfying travel experience.

[0129] The following describes the processing flow.

[0130] Step 1:

[0131] The user enters travel requirements into their device, such as their travel destination, desired dates, budget, hotel preferences, events or restaurants they wish to visit, and important appointments.

[0132] Step 2:

[0133] The server receives this input data from the terminal and stores it as basic data for the travel plan.

[0134] Step 3:

[0135] The server accesses an external database and activates a means of retrieving information to collect real-time data on flight prices, hotel rates, and travel destination event information.

[0136] Step 4:

[0137] The server uses a plan generation mechanism to automatically generate a travel plan optimized for the user's requirements, based on data collected by the information acquisition mechanism. This plan includes optimal flight tickets, appropriate hotel selections, and event participation schedules.

[0138] Step 5:

[0139] The device uses an emotion engine to analyze the user's emotions, performing an emotional assessment based on the requirements and past preferences entered by the user. The results are then fed back into the plan generation system.

[0140] Step 6:

[0141] Based on the results of the sentiment assessment, the server adjusts the travel plan to suit the user's emotions. In this step, destinations and activities that the user showed particular interest in are incorporated into the plan.

[0142] Step 7:

[0143] The server sends the adjusted travel plan back to the terminal and presents it to the user. The user can then provide further feedback on the presented plan.

[0144] Step 8:

[0145] Based on user feedback, the server will adjust the travel plan again, using feedback mechanisms if necessary. This process also utilizes the emotion engine to pursue the optimal plan.

[0146] Step 9:

[0147] Once the user approves the final travel plan, the server uses the booking method to complete the booking process for flights and accommodations.

[0148] This process allows users to obtain customized travel plans that reflect their interests and feelings.

[0149] (Example 2)

[0150] 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."

[0151] When planning a trip, users must gather a wide variety of information and use it to create a plan that suits their wishes and feelings. However, selecting the best option from a vast amount of information is time-consuming, and there is insufficient technology to automatically adjust the plan to fit the user's emotions. Therefore, a system is needed that can efficiently propose the optimal travel plan according to the user's requests and emotional state.

[0152] 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.

[0153] In this invention, the server includes information input means, information acquisition means, emotion analysis means, plan generation and adjustment means, feedback means, plan readjustment means, and reservation means. This enables the automatic generation of travel plans that reflect the user's requests and emotional state, and real-time readjustment.

[0154] An "information input means" is an interface that provides users with the ability to input their travel requirements.

[0155] "Information acquisition means" refers to a system that has the function of collecting travel-related information from external sources in real time.

[0156] "Emotional analysis methods" are technologies that analyze a user's emotional state based on user input information and past feedback.

[0157] A "plan generation and adjustment means" is a device that generates a travel plan based on acquired information and analyzed emotions, and makes adjustments as needed.

[0158] A "feedback mechanism" is a means for users to input their satisfaction level and requests for revisions to the generated travel plan.

[0159] A "plan readjustment mechanism" is a function that readjusts the travel plan based on user feedback.

[0160] A "booking system" is a system for making reservations for travel and accommodation based on an approved travel plan.

[0161] This invention is a system for users to efficiently plan their trips. The system generates travel plans considering the user's requests and preferences, and makes adjustments as needed. The system primarily uses a server and a terminal. The user uses a terminal, such as a smartphone or PC. The terminal uses a web browser or a dedicated application as an interface for inputting travel destinations, dates, budget, and accommodation preferences.

[0162] The server receives information and uses information acquisition tools to collect information on airline tickets, accommodations, and local events from external sources. This includes using APIs such as the Google Flights API and hotel booking site APIs. Furthermore, the server uses sentiment analysis tools to analyze the user's emotions based on their past feedback and input information. This analysis utilizes generative AI models employing natural language processing technology.

[0163] Based on the analysis results, the server creates an optimal travel plan through a plan generation and adjustment mechanism. This plan takes into account the user's emotional state and is adjusted to individual needs. When the user provides feedback on the plan, they can input their opinions through a terminal, and the server readjusts the plan based on this feedback.

[0164] Once a plan is finally approved by the user, the server-side booking system executes the reservation of flights and accommodations using the booking mechanism. The API of the travel booking site is used to execute the reservation, and a confirmation is sent to the user after the reservation is complete.

[0165] For example, if a user is planning a trip to Hawaii, they would input information such as "Hawaii," "May 2024," "budget of 200,000 yen," and "hotel near the beach" from their device. Based on this data, the server generates an optimal travel plan that includes the user's preferred activities.

[0166] Examples of prompts to input into a generative AI model include the following:

[0167] "The user is planning a trip to Hawaii. Based on their destination, dates, budget, desired accommodations, and places they want to visit, please suggest the best travel plan. Also, while considering the user's feelings about the plan, please point out any adjustments that may be necessary."

[0168] In this way, the present invention makes it possible to provide high-quality travel experiences that meet the needs of users.

[0169] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0170] Step 1:

[0171] The user uses a terminal to input travel plan information. This input information includes destination, dates, budget, accommodation preferences, and places or events they wish to visit. Once input is complete, the terminal sends the information to the server. This allows the server to store the basic requirements of the trip as data.

[0172] Step 2:

[0173] The server collects relevant information from external sources based on the received travel plan information. Using information acquisition methods, it obtains real-time data such as airfare, hotel availability, and local event schedules. Specifically, it accesses each information source using APIs, retrieves the necessary information, and compiles it. This data collection provides the foundational materials for creating travel plans.

[0174] Step 3:

[0175] The server analyzes the user's emotions using sentiment analysis tools based on collected information and user input data. Using a generative AI model, it infers the user's emotional state based on past feedback and preferences. The emotional information obtained from the input data is used as a guide when adjusting travel plans. As a result, planning tailored to the user's current psychological state becomes possible.

[0176] Step 4:

[0177] The server generates the optimal travel plan through a plan generation and adjustment mechanism. Here, data obtained from information acquisition mechanisms and the results of sentiment analysis are combined to propose a travel plan that best suits the user's needs. In terms of data processing, an AI model selects the optimal combination of information and makes adjustments that take the user's emotions into consideration. This results in a travel plan optimized for the user.

[0178] Step 5:

[0179] The server sends the generated travel plan to the user's device and presents it to them. The user reviews the plan details on their device and rates their satisfaction level. If they have feedback, the user sends it to the server via their device. This feedback is treated as important information for adjusting and improving the travel plan.

[0180] Step 6:

[0181] The server reconstructs the travel plan using a plan readjustment mechanism based on user feedback. It refers to the content of the feedback and sentiment analysis, and modifies the plan if necessary. Specifically, it identifies what needs to be changed and uses the API again to create a new plan. This process allows for adjustments that best reflect the user's wishes.

[0182] Step 7:

[0183] Ultimately, the server uses booking methods based on the confirmed travel plan to execute travel and accommodation reservations. Booking information is retrieved via API, and the formal booking process is managed with each provider. After booking is complete, a confirmation is sent to the user via their device, and all planning steps are complete.

[0184] (Application Example 2)

[0185] 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".

[0186] Planning a trip in the modern era is time-consuming and cumbersome, making it difficult for users to find a truly satisfying itinerary. Furthermore, users may struggle to utilize the most appropriate services and perks tailored to their needs, and the payment process can become cumbersome. This results in a less-than-smooth and more satisfying travel experience for users.

[0187] 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.

[0188] In this invention, the server includes information input means for collecting user travel requests, data collection means for acquiring travel-related data from an external storage device in real time, plan generation means for automatically assembling a travel plan suitable for the user's requests based on the acquired data, opinion collection means for displaying the generated travel plan to the user and soliciting their opinions, plan adjustment means for readjusting the travel plan based on the opinions, and payment integration means for coordinating with related services for processing payments. This makes it possible to efficiently handle everything from travel planning to payment, and enables service improvements that respond to the user's emotions.

[0189] "Information input means for collecting user travel requests" refers to an interface for users to input their desired travel destination, budget, and other requirements.

[0190] "Data collection means" refers to a device or system for acquiring travel-related information in real time from external storage devices or databases.

[0191] A "plan generation means" refers to a method or process for automatically assembling a travel plan that is suitable for the user's requirements based on acquired data.

[0192] "Methods for collecting feedback" refer to methods for receiving user feedback and opinions on the generated travel plans.

[0193] "Planning adjustment means" refers to methods for readjusting travel plans based on user feedback and opinions.

[0194] A "payment integration method" is a means of linking with external payment services in order to process payments related to travel plans.

[0195] "Arrangement methods" refer to the processes and systems used to arrange the most suitable means of transportation and accommodations based on the generated travel plan.

[0196] "Schedule adjustment methods" refer to the processes and methods for adjusting travel plans based on the user's important dates.

[0197] This embodiment of the invention enables users to efficiently and effectively plan their travels and smoothly handle related payments. The server is built within a cloud computing environment and is responsible for acquiring travel information and processing user feedback. As a means of data collection, it uses APIs from external travel information services to obtain the latest flight information and accommodation availability data.

[0198] The user's device (smartphone or PC) is equipped with means for information input and opinion collection, allowing the user to input travel requirements and provide feedback on the presented travel plan. The plan generation means operates using an AI algorithm based on the acquired data and user requests to generate the optimal travel plan. Here, a "generative AI model" is used to dynamically adjust the travel plan based on user input and sentiment analysis results.

[0199] Feedback gathering and plan adjustments are repeated until a plan that better satisfies the user is achieved. Once the plan is finalized, the server triggers the payment process to complete the travel arrangements through integrated payment methods. Here, integration with external payment services enables secure and fast payment based on the payment information provided by the user.

[0200] For example, if a user expresses interest in a cultural trip to Tokyo and shows excitement about visiting museums, the system will take this into account and propose a plan with discounted offers. Using a generative AI model, it will maximize the evaluation of the user's expressed interests and generate a corresponding prompt message as input, such as: "Based on the following travel plan, please suggest the best campaign and consider offers to enhance traveler satisfaction. Destination: Tokyo, Feedback: I want to enjoy cultural experiences!"

[0201] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0202] Step 1:

[0203] The user enters their travel preferences into the terminal. Information such as destination, budget, itinerary, and desired activities is entered. This information is sent to the server and stored in the system as basic data. The entered data is used to specify the user's travel requests.

[0204] Step 2:

[0205] The server uses the acquired user information to access APIs of external travel information services and collect travel-related data. Specifically, it collects information such as airfare prices, accommodation availability, and local event information. User information is the input, and the output is the latest travel data.

[0206] Step 3:

[0207] The server automatically generates a travel plan based on acquired travel data and user requests using a plan generation mechanism. Here, a generation AI model is used to propose the optimal plan for the user's preferences. The input is the collected data and user requests, and the output is a provisional travel plan.

[0208] Step 4:

[0209] The generated travel plan is presented to the user's device, and the user reviews the plan and provides feedback. The user can express their satisfaction with the plan and request modifications to specific elements. The input is the generated plan, and the output is the user feedback.

[0210] Step 5:

[0211] The server analyzes the feedback received from the user and readjusts the travel plan as needed. It uses a plan adjustment mechanism to fine-tune the plan based on the feedback. The input is the user's feedback, and the output is the new, adjusted travel plan.

[0212] Step 6:

[0213] Ultimately, the server uses integrated payment methods to process the necessary payments based on the confirmed travel plan. This includes integration with partnered external payment services. The user's payment information and travel plan are used as input, and the output is confirmation that the payment has been completed.

[0214] Step 7:

[0215] The server notifies the user of the confirmation of the travel plan and completion of payment. This final notification includes the booking confirmation and necessary travel documents. The input is payment confirmation information, and the output is the notification to the user.

[0216] 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.

[0217] 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.

[0218] 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.

[0219] [Second Embodiment]

[0220] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0221] 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.

[0222] 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).

[0223] 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.

[0224] 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.

[0225] 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).

[0226] 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.

[0227] 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.

[0228] 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.

[0229] 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.

[0230] 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.

[0231] 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".

[0232] This invention provides a system that enables users to create travel plans efficiently and economically. Its embodiments are described in detail below.

[0233] First, the user enters their travel destination, dates, budget, desired hotel conditions, events or restaurants they want to visit, and important appointments via their device. This information is sent to the server and used as basic data for the travel plan.

[0234] The server connects to databases of external airline and hotel information providers to obtain the best flight and hotel rates in real time. Furthermore, it collects data on local events, restaurant opening hours, and congestion forecasts.

[0235] Based on the collected information, the server automatically generates a travel plan that best suits the user's requirements. This travel plan includes the most economical flight and hotel combinations, as well as a schedule of local events and restaurant visits.

[0236] The generated travel plan is presented to the user via their device. The user can review the plan and provide feedback as needed, such as requesting changes to the visit dates or adding specific events.

[0237] The server readjusts the travel plan based on user feedback. It's designed to regenerate an optimal travel schedule, taking into account scheduling to avoid important events before and after. The adjusted plan is then presented to the user again via their device.

[0238] Once the user approves the final plan, the server proceeds with the flight and accommodation booking process. This entire process allows users to easily finalize the travel plan that best suits their needs without any hassle.

[0239] The following describes the processing flow.

[0240] Step 1:

[0241] The user uses their device to enter travel requirements such as their destination, desired dates, budget, hotel preferences, events or restaurants they wish to visit, and important appointments.

[0242] Step 2:

[0243] The server receives user input information sent from the terminal and stores it as basic data for the travel plan.

[0244] Step 3:

[0245] The server connects to an external database to collect real-time information on flight sales, hotel rates, local events, and restaurants. This information is used to match user requirements.

[0246] Step 4:

[0247] The server analyzes the collected information and automatically generates the travel plan best suited to the user's requirements. The plan includes the optimal flight and hotel combinations, event schedules, and restaurant visits.

[0248] Step 5:

[0249] The server sends the generated travel plan to the device. The device then presents this to the user and provides an interface for confirmation and feedback.

[0250] Step 6:

[0251] Users review the presented travel plan and, if necessary, send feedback to the server via their device, such as changing the visit dates or adding events to participate in.

[0252] Step 7:

[0253] The server receives user feedback and readjusts the travel plan. It adjusts the schedule to avoid impacting important appointments and updates the plan in the best possible way.

[0254] Step 8:

[0255] The server sends the revised travel plan back to the terminal and asks the user for final confirmation. If the user approves the plan, the server proceeds with booking flights and accommodations.

[0256] (Example 1)

[0257] 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".

[0258] Traditional travel planning required users to manually sift through vast amounts of information to create the optimal plan, which was time-consuming and laborious. Furthermore, it was difficult to flexibly adjust plans to meet diverse user needs and to gather information in real time. Therefore, there was a need to improve the efficiency and accuracy of travel planning and reduce the burden on users.

[0259] 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.

[0260] In this invention, the server includes information acquisition means for acquiring travel-related information in real time from an external data supply device, plan generation means for analyzing the acquired information and automatically generating an optimal travel plan for the user's needs using a generated AI model, and plan adjustment means for reconfiguring the travel plan based on user feedback. This enables the user to obtain an optimal travel plan quickly and efficiently, and also facilitates flexible adjustments based on feedback.

[0261] "Information input means" refers to a device or method that provides an interface for a user to input travel requests and conditions.

[0262] "Information acquisition means" refers to a device or method for acquiring up-to-date travel information in real time from an external data source.

[0263] A "plan generation means" is a device or method that analyzes acquired information and uses a generation AI model to automatically create a travel plan that suits the user's needs.

[0264] "Feedback collection means" refers to a device or method for collecting opinions and requests from users regarding the generated travel plan.

[0265] "Planning adjustment means" refers to a device or method for reconstructing a travel plan based on feedback collected from users and making appropriate adjustments.

[0266] A "booking execution means" is a device or method for confirming reservations for air tickets and accommodations based on an optimized travel plan.

[0267] "Schedule adjustment means" refers to a device or method for readjusting the specific travel dates and schedules, taking into account the user's important dates and schedules.

[0268] This invention provides a system that enables users to create travel plans efficiently and economically. Detailed embodiments are described below.

[0269] First, the user enters their travel requests using a device. This device, such as a personal computer or smartphone, is used to input destination, travel dates, budget, accommodation requirements, and desired events or restaurants. This information is then transmitted to the server using a secure communication protocol.

[0270] The server connects to an external data supply device as a means of acquiring information and collects a variety of travel-related data in real time, such as flight and accommodation information, local event schedules, restaurant opening hours, and congestion forecasts. For database connection software, commonly used APIs and database management systems (e.g., MySQL) are used.

[0271] Based on the collected data, the server utilizes a generative AI model to generate the optimal travel plan for the user's requirements. This generative AI model analyzes data patterns and suggests the best flight and hotel combinations. For example, if a user inputs requirements such as "a 3-day trip to Tokyo with a budget of 50,000 yen and accommodation near Ginza," the AI ​​model will design the optimal plan based on this information.

[0272] The generated travel plan is displayed on the device, allowing the user to review the plan details. Users can send feedback to the server as needed, requesting further customization such as date changes or event additions. For example, by entering "Tokyo trip, 3 days, budget 50,000 yen, Ginza accommodation, including art event visits" as a prompt, the AI ​​model can adjust its suggestions.

[0273] Finally, based on the travel plan approved by the user, the server proceeds with the booking process for airfare and accommodations via the booking execution mechanism. After the booking is complete, a confirmation email is sent to the user, and the details of the travel plan can be managed on the device. This entire process allows users to finalize their travel plans quickly and easily.

[0274] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0275] Step 1:

[0276] Users use their devices to input information about their travel destination, itinerary, budget, accommodation requirements, and desired events and restaurants. The entered data is securely transmitted from the device to the server. The server receives this information and stores it in a database as basic data for travel planning.

[0277] Step 2:

[0278] The server uses information acquisition means to obtain the latest travel-related information from an external data supply device. Specifically, it obtains air ticket price information, the availability status of accommodation facilities, local event and restaurant business information through APIs. The acquired data is stored in the server's internal database and used for analysis.

[0279] Step 3:

[0280] Based on the collected data, the server uses a generated AI model to create a travel plan. The AI model selects the combination of air tickets and accommodation facilities that best suits the user's requirements and generates a travel plan including an event schedule and a visit plan to restaurants. In this generation process, the model analyzes multiple data patterns and derives an optimal solution.

[0281] Step 4:

[0282] The generated travel plan is sent from the server to the terminal and displayed on the user's screen. The user checks the provided plan and sends feedback from the terminal if specific conditions need to be changed. The feedback includes specific requests such as schedule changes or event additions.

[0283] Step 5:

[0284] Based on the feedback from the user, the server uses plan adjustment means to reconfigure the travel plan. The new conditions are input into the AI model and the plan is generated again. The output result is a travel plan adjusted to meet the user's new requirements.

[0285] Step 6:

[0286] When the user approves the final travel plan, the server makes reservations for air tickets and accommodation facilities through reservation execution means. After the reservation is completed, the detailed information is sent to the user's terminal again and a confirmation email is also automatically sent. This allows the user to easily confirm the reservation.

[0287] (Application Example 1)

[0288] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0289] Creating an efficient and economical travel plan requires gathering information and proper planning, but this is time-consuming for users, and obtaining real-time information and adjusting schedules on-site presents challenges. Furthermore, especially for sightseeing within cities, there is a need for optimal route suggestions that take into account constantly changing congestion levels and event information.

[0290] 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.

[0291] In this invention, the server includes information input means for inputting the user's travel requirements, information acquisition means for collecting travel-related information from an external database in real time, and route suggestion means for collecting information on tourist resources within a city and suggesting tourist routes in real time based on the user's location information. This makes it possible to generate and adjust efficient and attractive travel plans that take into account the user's preferences and real-time city information.

[0292] "Information input means" refers to a function that allows users to input travel requirements and conditions via a terminal.

[0293] "Information acquisition means" refers to a function that accesses external databases to collect information related to travel, such as airline tickets, accommodations, events, and restaurants, in real time.

[0294] The "plan generation method" is a function that automatically generates the optimal travel plan that matches the user's travel requirements based on the collected information.

[0295] A "feedback mechanism" is a function that presents the generated travel plan to the user and allows for the collection of opinions and requests from the user.

[0296] The "plan adjustment mechanism" is a function that readjusts and optimizes travel plans based on user feedback.

[0297] The "route suggestion method" is a function that suggests the optimal sightseeing route in real time, taking into account the user's location information, based on information about tourist resources within the city.

[0298] "Reservation method" refers to a function that allows users to make reservations for the most suitable means of transportation and accommodation based on the generated travel plan.

[0299] The system for realizing this invention is centered around a server and a user terminal. The server launches a program that includes means for inputting information, acquiring information, generating plans, providing feedback, adjusting plans, suggesting routes, and making reservations for the user. The user terminal is a smartphone, smart glasses, mobile computer, etc., and functions as an interface for the user to input information, receive travel plan suggestions, and provide feedback.

[0300] The server, for example, is built on a cloud infrastructure and accesses external databases via the internet through an information acquisition means to collect information such as airline tickets, accommodations, events, and restaurants in real time. The collected information is analyzed by a plan generation means to generate a travel plan that best suits the user's requirements. The generated plan is sent to the user's terminal and displayed on the interface. The user provides feedback as needed, and the plan is further optimized by a plan adjustment means. In addition, a route suggestion means utilizes GPS information to suggest the optimal route for sightseeing within a city, calculating the best route from local tourist resource information and presenting it to the terminal.

[0301] When the server executes the reservation means, based on the plan approved by the user, relevant airline ticket and accommodation facility information is sent to the reservation database, and the reservation process is executed. The software used includes, for example, Google Maps API and cloud reservation system API.

[0302] As a specific example, when traveler A visits Tokyo, this system is used to propose a plan to visit Ueno Park, Asakusa Temple, and the Akasaka area. A plan visualizing the optimal route considering travel time and congestion is provided.

[0303] As a prompt sentence for the generation AI model, it can be set as "Please propose a recommended sightseeing route in real time within the city the user is visiting. Include meals, cultural events, and shopping spots."

[0304] The flow of the specific process in Application Example 1 will be described using FIG. 12.

[0305] Step 1:

[0306] The user inputs requirements such as the travel destination, budget, schedule, etc. via the terminal. The input data is sent to the server and received by the information input means. The input data is saved on the server as basic information for generating a travel plan.

[0307] Step 2:

[0308] The server accesses the external database in real time using the information acquisition means. Information on airline tickets, accommodation facilities, events, restaurants, etc. is collected, and the information obtained from the database is filtered according to the travel schedule and converted into data related to the user's requirements.

[0309] Step 3:

[0310] The server analyzes the information collected using the plan generation mechanism. It applies data analysis algorithms to create the optimal travel plan for the user's requirements, generating an optimized travel schedule and list of destinations. This generated plan is then sent to the user's terminal.

[0311] Step 4:

[0312] The generated travel plan is presented to the user's device. The user reviews the plan and provides feedback as needed. This feedback may include adding destinations or adjusting the schedule. The server receives this information through the feedback mechanism.

[0313] Step 5:

[0314] The server uses a plan adjustment mechanism to readjust the travel plan based on feedback. Upon user request, it runs a new optimization process and generates a revised plan. This plan is then sent back to the user.

[0315] Step 6:

[0316] The server uses route suggestion tools to utilize the user's current location information and calculate sightseeing routes within the city in real time. Based on GPS data and a city tourism database, it calculates available route information and displays the route visually on the device.

[0317] Step 7:

[0318] Once the user approves the final plan, the server uses the booking method to proceed with booking flights and accommodations. It generates the necessary data for the booking and sends it to a partnered external booking system to confirm the reservation.

[0319] 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.

[0320] This invention is a system that streamlines the user's travel planning process and provides travel plans optimized according to their individual emotional state. This system collects information in real time based on the requirements entered by the user and further generates and adjusts plans that take the user's emotional state into consideration using an emotion engine.

[0321] First, the user uses a terminal to enter their travel destination, dates, budget, accommodation preferences, events or facilities they wish to visit, and any other important appointments. Once this information is sent to the server, the system receives it through a designated input method and records it as basic data for the travel plan.

[0322] The server uses information acquisition tools to access external databases and collect real-time information on airfare, hotel prices, and local events. Based on this information, the server uses plan generation tools to automatically generate the travel plan best suited to the user's requirements.

[0323] Next, along with the collected plan information, the emotion engine analyzes the user's emotions and uses this information to generate and adjust the plan. For example, if a user expresses high satisfaction with a particular travel destination, the system can generate a plan that prioritizes that option.

[0324] The generated travel plan is presented to the user via their device, allowing them to review its contents and provide feedback. For example, if a user is dissatisfied with the presented travel destination, the emotion engine detects this dissatisfaction and works in conjunction with the plan generation system to make adjustments.

[0325] Upon receiving feedback from the user, the server utilizes the feedback mechanism to readjust the travel plan and, if necessary, uses the emotion engine to make further improvements. Finally, once the plan is approved, taking both the user's requests and emotions into consideration, the booking mechanism is used to execute the booking of flights and accommodations.

[0326] This system allows users to obtain customized travel plans that reflect their own feelings, resulting in a more satisfying travel experience.

[0327] The following describes the processing flow.

[0328] Step 1:

[0329] The user enters travel requirements into their device, such as their travel destination, desired dates, budget, hotel preferences, events or restaurants they wish to visit, and important appointments.

[0330] Step 2:

[0331] The server receives this input data from the terminal and stores it as basic data for the travel plan.

[0332] Step 3:

[0333] The server accesses an external database and activates a means of retrieving information to collect real-time data on flight prices, hotel rates, and travel destination event information.

[0334] Step 4:

[0335] The server uses a plan generation mechanism to automatically generate a travel plan optimized for the user's requirements, based on data collected by the information acquisition mechanism. This plan includes optimal flight tickets, appropriate hotel selections, and event participation schedules.

[0336] Step 5:

[0337] The device uses an emotion engine to analyze the user's emotions, performing an emotional assessment based on the requirements and past preferences entered by the user. The results are then fed back into the plan generation system.

[0338] Step 6:

[0339] Based on the results of the sentiment assessment, the server adjusts the travel plan to suit the user's emotions. In this step, destinations and activities that the user showed particular interest in are incorporated into the plan.

[0340] Step 7:

[0341] The server sends the adjusted travel plan back to the terminal and presents it to the user. The user can then provide further feedback on the presented plan.

[0342] Step 8:

[0343] Based on user feedback, the server will adjust the travel plan again, using feedback mechanisms if necessary. This process also utilizes the emotion engine to pursue the optimal plan.

[0344] Step 9:

[0345] Once the user approves the final travel plan, the server uses the booking method to complete the booking process for flights and accommodations.

[0346] This process allows users to obtain customized travel plans that reflect their interests and feelings.

[0347] (Example 2)

[0348] 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".

[0349] When planning a trip, users must gather a wide variety of information and use it to create a plan that suits their wishes and feelings. However, selecting the best option from a vast amount of information is time-consuming, and there is insufficient technology to automatically adjust the plan to fit the user's emotions. Therefore, a system is needed that can efficiently propose the optimal travel plan according to the user's requests and emotional state.

[0350] 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.

[0351] In this invention, the server includes information input means, information acquisition means, emotion analysis means, plan generation and adjustment means, feedback means, plan readjustment means, and reservation means. This enables the automatic generation of travel plans that reflect the user's requests and emotional state, and real-time readjustment.

[0352] An "information input means" is an interface that provides users with the ability to input their travel requirements.

[0353] "Information acquisition means" refers to a system that has the function of collecting travel-related information from external sources in real time.

[0354] "Emotional analysis methods" are technologies that analyze a user's emotional state based on user input information and past feedback.

[0355] A "plan generation and adjustment means" is a device that generates a travel plan based on acquired information and analyzed emotions, and makes adjustments as needed.

[0356] A "feedback mechanism" is a means for users to input their satisfaction level and requests for revisions to the generated travel plan.

[0357] A "plan readjustment mechanism" is a function that readjusts the travel plan based on user feedback.

[0358] A "booking system" is a system for making reservations for travel and accommodation based on an approved travel plan.

[0359] This invention is a system for users to efficiently plan their trips. The system generates travel plans considering the user's requests and preferences, and makes adjustments as needed. The system primarily uses a server and a terminal. The user uses a terminal, such as a smartphone or PC. The terminal uses a web browser or a dedicated application as an interface for inputting travel destinations, dates, budget, and accommodation preferences.

[0360] The server receives information and uses information acquisition tools to collect information on airline tickets, accommodations, and local events from external sources. This includes using APIs such as the Google Flights API and hotel booking site APIs. Furthermore, the server uses sentiment analysis tools to analyze the user's emotions based on their past feedback and input information. This analysis utilizes generative AI models employing natural language processing technology.

[0361] Based on the analysis results, the server creates an optimal travel plan through a plan generation and adjustment mechanism. This plan takes into account the user's emotional state and is adjusted to individual needs. When the user provides feedback on the plan, they can input their opinions through a terminal, and the server readjusts the plan based on this feedback.

[0362] Once a plan is finally approved by the user, the server-side booking system executes the reservation of flights and accommodations using the booking mechanism. The API of the travel booking site is used to execute the reservation, and a confirmation is sent to the user after the reservation is complete.

[0363] For example, if a user is planning a trip to Hawaii, they would input information such as "Hawaii," "May 2024," "budget of 200,000 yen," and "hotel near the beach" from their device. Based on this data, the server generates an optimal travel plan that includes the user's preferred activities.

[0364] Examples of prompts to input into a generative AI model include the following:

[0365] "The user is planning a trip to Hawaii. Based on their destination, dates, budget, desired accommodations, and places they want to visit, please suggest the best travel plan. Also, while considering the user's feelings about the plan, please point out any adjustments that may be necessary."

[0366] In this way, the present invention makes it possible to provide high-quality travel experiences that meet the needs of users.

[0367] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0368] Step 1:

[0369] The user uses a terminal to input travel plan information. This input information includes destination, dates, budget, accommodation preferences, and places or events they wish to visit. Once input is complete, the terminal sends the information to the server. This allows the server to store the basic requirements of the trip as data.

[0370] Step 2:

[0371] The server collects relevant information from external sources based on the received travel plan information. Using information acquisition methods, it obtains real-time data such as airfare, hotel availability, and local event schedules. Specifically, it accesses each information source using APIs, retrieves the necessary information, and compiles it. This data collection provides the foundational materials for creating travel plans.

[0372] Step 3:

[0373] The server analyzes the user's emotions using sentiment analysis tools based on collected information and user input data. Using a generative AI model, it infers the user's emotional state based on past feedback and preferences. The emotional information obtained from the input data is used as a guide when adjusting travel plans. As a result, planning tailored to the user's current psychological state becomes possible.

[0374] Step 4:

[0375] The server generates the optimal travel plan through a plan generation and adjustment mechanism. Here, data obtained from information acquisition mechanisms and the results of sentiment analysis are combined to propose a travel plan that best suits the user's needs. In terms of data processing, an AI model selects the optimal combination of information and makes adjustments that take the user's emotions into consideration. This results in a travel plan optimized for the user.

[0376] Step 5:

[0377] The server sends the generated travel plan to the user's device and presents it to them. The user reviews the plan details on their device and rates their satisfaction level. If they have feedback, the user sends it to the server via their device. This feedback is treated as important information for adjusting and improving the travel plan.

[0378] Step 6:

[0379] The server reconstructs the travel plan using a plan readjustment mechanism based on user feedback. It refers to the content of the feedback and sentiment analysis, and modifies the plan if necessary. Specifically, it identifies what needs to be changed and uses the API again to create a new plan. This process allows for adjustments that best reflect the user's wishes.

[0380] Step 7:

[0381] Ultimately, the server uses booking methods based on the confirmed travel plan to execute travel and accommodation reservations. Booking information is retrieved via API, and the formal booking process is managed with each provider. After booking is complete, a confirmation is sent to the user via their device, and all planning steps are complete.

[0382] (Application Example 2)

[0383] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0384] Planning a trip in the modern era is time-consuming and cumbersome, making it difficult for users to find a truly satisfying itinerary. Furthermore, users may struggle to utilize the most appropriate services and perks tailored to their needs, and the payment process can become cumbersome. This results in a less-than-smooth and more satisfying travel experience for users.

[0385] 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.

[0386] In this invention, the server includes information input means for collecting user travel requests, data collection means for acquiring travel-related data from an external storage device in real time, plan generation means for automatically assembling a travel plan suitable for the user's requests based on the acquired data, opinion collection means for displaying the generated travel plan to the user and soliciting their opinions, plan adjustment means for readjusting the travel plan based on the opinions, and payment integration means for coordinating with related services for processing payments. This makes it possible to efficiently handle everything from travel planning to payment, and enables service improvements that respond to the user's emotions.

[0387] "Information input means for collecting user travel requests" refers to an interface for users to input their desired travel destination, budget, and other requirements.

[0388] "Data collection means" refers to a device or system for acquiring travel-related information in real time from external storage devices or databases.

[0389] A "plan generation means" refers to a method or process for automatically assembling a travel plan that is suitable for the user's requirements based on acquired data.

[0390] "Methods for collecting feedback" refer to methods for receiving user feedback and opinions on the generated travel plans.

[0391] "Planning adjustment means" refers to methods for readjusting travel plans based on user feedback and opinions.

[0392] A "payment integration method" is a means of linking with external payment services in order to process payments related to travel plans.

[0393] "Arrangement methods" refer to the processes and systems used to arrange the most suitable means of transportation and accommodations based on the generated travel plan.

[0394] "Schedule adjustment methods" refer to the processes and methods for adjusting travel plans based on the user's important dates.

[0395] This embodiment of the invention enables users to efficiently and effectively plan their travels and smoothly handle related payments. The server is built within a cloud computing environment and is responsible for acquiring travel information and processing user feedback. As a means of data collection, it uses APIs from external travel information services to obtain the latest flight information and accommodation availability data.

[0396] The user's device (smartphone or PC) is equipped with means for information input and opinion collection, allowing the user to input travel requirements and provide feedback on the presented travel plan. The plan generation means operates using an AI algorithm based on the acquired data and user requests to generate the optimal travel plan. Here, a "generative AI model" is used to dynamically adjust the travel plan based on user input and sentiment analysis results.

[0397] Feedback gathering and plan adjustments are repeated until a plan that better satisfies the user is achieved. Once the plan is finalized, the server triggers the payment process to complete the travel arrangements through integrated payment methods. Here, integration with external payment services enables secure and fast payment based on the payment information provided by the user.

[0398] For example, if a user expresses interest in a cultural trip to Tokyo and shows excitement about visiting museums, the system will take this into account and propose a plan with discounted offers. Using a generative AI model, it will maximize the evaluation of the user's expressed interests and generate a corresponding prompt message as input, such as: "Based on the following travel plan, please suggest the best campaign and consider offers to enhance traveler satisfaction. Destination: Tokyo, Feedback: I want to enjoy cultural experiences!"

[0399] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0400] Step 1:

[0401] The user enters their travel preferences into the terminal. Information such as destination, budget, itinerary, and desired activities is entered. This information is sent to the server and stored in the system as basic data. The entered data is used to specify the user's travel requests.

[0402] Step 2:

[0403] The server uses the acquired user information to access APIs of external travel information services and collect travel-related data. Specifically, it collects information such as airfare prices, accommodation availability, and local event information. User information is the input, and the output is the latest travel data.

[0404] Step 3:

[0405] The server automatically generates a travel plan based on acquired travel data and user requests using a plan generation mechanism. Here, a generation AI model is used to propose the optimal plan for the user's preferences. The input is the collected data and user requests, and the output is a provisional travel plan.

[0406] Step 4:

[0407] The generated travel plan is presented to the user's device, and the user reviews the plan and provides feedback. The user can express their satisfaction with the plan and request modifications to specific elements. The input is the generated plan, and the output is the user feedback.

[0408] Step 5:

[0409] The server analyzes the feedback received from the user and readjusts the travel plan as needed. It uses a plan adjustment mechanism to fine-tune the plan based on the feedback. The input is the user's feedback, and the output is the new, adjusted travel plan.

[0410] Step 6:

[0411] Ultimately, the server uses integrated payment methods to process the necessary payments based on the confirmed travel plan. This includes integration with partnered external payment services. The user's payment information and travel plan are used as input, and the output is confirmation that the payment has been completed.

[0412] Step 7:

[0413] The server notifies the user of the confirmation of the travel plan and completion of payment. This final notification includes the booking confirmation and necessary travel documents. The input is payment confirmation information, and the output is the notification to the user.

[0414] 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.

[0415] 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.

[0416] 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.

[0417] [Third Embodiment]

[0418] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0419] 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.

[0420] 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).

[0421] 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.

[0422] 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.

[0423] 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).

[0424] 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.

[0425] 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.

[0426] 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.

[0427] 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.

[0428] 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.

[0429] 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".

[0430] This invention provides a system that enables users to create travel plans efficiently and economically. Its embodiments are described in detail below.

[0431] First, the user enters their travel destination, dates, budget, desired hotel conditions, events or restaurants they want to visit, and important appointments via their device. This information is sent to the server and used as basic data for the travel plan.

[0432] The server connects to databases of external airline and hotel information providers to obtain the best flight and hotel rates in real time. Furthermore, it collects data on local events, restaurant opening hours, and congestion forecasts.

[0433] Based on the collected information, the server automatically generates a travel plan that best suits the user's requirements. This travel plan includes the most economical flight and hotel combinations, as well as a schedule of local events and restaurant visits.

[0434] The generated travel plan is presented to the user via their device. The user can review the plan and provide feedback as needed, such as requesting changes to the visit dates or adding specific events.

[0435] The server readjusts the travel plan based on user feedback. It's designed to regenerate an optimal travel schedule, taking into account scheduling to avoid important events before and after. The adjusted plan is then presented to the user again via their device.

[0436] Once the user approves the final plan, the server proceeds with the flight and accommodation booking process. This entire process allows users to easily finalize the travel plan that best suits their needs without any hassle.

[0437] The following describes the processing flow.

[0438] Step 1:

[0439] The user uses their device to enter travel requirements such as their destination, desired dates, budget, hotel preferences, events or restaurants they wish to visit, and important appointments.

[0440] Step 2:

[0441] The server receives user input information sent from the terminal and stores it as basic data for the travel plan.

[0442] Step 3:

[0443] The server connects to an external database to collect real-time information on flight sales, hotel rates, local events, and restaurants. This information is used to match user requirements.

[0444] Step 4:

[0445] The server analyzes the collected information and automatically generates the travel plan best suited to the user's requirements. The plan includes the optimal flight and hotel combinations, event schedules, and restaurant visits.

[0446] Step 5:

[0447] The server sends the generated travel plan to the device. The device then presents this to the user and provides an interface for confirmation and feedback.

[0448] Step 6:

[0449] Users review the presented travel plan and, if necessary, send feedback to the server via their device, such as changing the visit dates or adding events to participate in.

[0450] Step 7:

[0451] The server receives user feedback and readjusts the travel plan. It adjusts the schedule to avoid impacting important appointments and updates the plan in the best possible way.

[0452] Step 8:

[0453] The server sends the revised travel plan back to the terminal and asks the user for final confirmation. If the user approves the plan, the server proceeds with booking flights and accommodations.

[0454] (Example 1)

[0455] 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."

[0456] Traditional travel planning required users to manually sift through vast amounts of information to create the optimal plan, which was time-consuming and laborious. Furthermore, it was difficult to flexibly adjust plans to meet diverse user needs and to gather information in real time. Therefore, there was a need to improve the efficiency and accuracy of travel planning and reduce the burden on users.

[0457] 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.

[0458] In this invention, the server includes information acquisition means for acquiring travel-related information in real time from an external data supply device, plan generation means for analyzing the acquired information and automatically generating an optimal travel plan for the user's needs using a generated AI model, and plan adjustment means for reconfiguring the travel plan based on user feedback. This enables the user to obtain an optimal travel plan quickly and efficiently, and also facilitates flexible adjustments based on feedback.

[0459] "Information input means" refers to a device or method that provides an interface for a user to input travel requests and conditions.

[0460] "Information acquisition means" refers to a device or method for acquiring up-to-date travel information in real time from an external data source.

[0461] A "plan generation means" is a device or method that analyzes acquired information and uses a generation AI model to automatically create a travel plan that suits the user's needs.

[0462] "Feedback collection means" refers to a device or method for collecting opinions and requests from users regarding the generated travel plan.

[0463] "Planning adjustment means" refers to a device or method for reconstructing a travel plan based on feedback collected from users and making appropriate adjustments.

[0464] A "booking execution means" is a device or method for confirming reservations for air tickets and accommodations based on an optimized travel plan.

[0465] "Schedule adjustment means" refers to a device or method for readjusting the specific travel dates and schedules, taking into account the user's important dates and schedules.

[0466] This invention provides a system that enables users to create travel plans efficiently and economically. Detailed embodiments are described below.

[0467] First, the user enters their travel requests using a device. This device, such as a personal computer or smartphone, is used to input destination, travel dates, budget, accommodation requirements, and desired events or restaurants. This information is then transmitted to the server using a secure communication protocol.

[0468] The server connects to an external data supply device as a means of acquiring information and collects a variety of travel-related data in real time, such as flight and accommodation information, local event schedules, restaurant opening hours, and congestion forecasts. For database connection software, commonly used APIs and database management systems (e.g., MySQL) are used.

[0469] Based on the collected data, the server utilizes a generative AI model to generate the optimal travel plan for the user's requirements. This generative AI model analyzes data patterns and suggests the best flight and hotel combinations. For example, if a user inputs requirements such as "a 3-day trip to Tokyo with a budget of 50,000 yen and accommodation near Ginza," the AI ​​model will design the optimal plan based on this information.

[0470] The generated travel plan is displayed on the device, allowing the user to review the plan details. Users can send feedback to the server as needed, requesting further customization such as date changes or event additions. For example, by entering "Tokyo trip, 3 days, budget 50,000 yen, Ginza accommodation, including art event visits" as a prompt, the AI ​​model can adjust its suggestions.

[0471] Finally, based on the travel plan approved by the user, the server proceeds with the booking process for airfare and accommodations via the booking execution mechanism. After the booking is complete, a confirmation email is sent to the user, and the details of the travel plan can be managed on the device. This entire process allows users to finalize their travel plans quickly and easily.

[0472] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0473] Step 1:

[0474] Users use their devices to input information about their travel destination, itinerary, budget, accommodation requirements, and desired events and restaurants. The entered data is securely transmitted from the device to the server. The server receives this information and stores it in a database as basic data for travel planning.

[0475] Step 2:

[0476] The server uses information acquisition methods to obtain the latest travel-related information from external data supply devices. Specifically, it obtains airline ticket prices, accommodation availability, and local event and restaurant operating information via APIs. The acquired data is stored in the server's internal database and used for analysis.

[0477] Step 3:

[0478] The server uses a generative AI model to create travel plans based on the collected data. The AI ​​model selects the flight and accommodation combination that best suits the user's requirements and generates a travel plan that includes event schedules and restaurant visit plans. In this generation process, the model analyzes multiple data patterns to derive the optimal solution.

[0479] Step 4:

[0480] The generated travel plan is sent from the server to the device and displayed on the user's screen. The user reviews the provided plan and sends feedback from their device if they need to change specific conditions. This feedback may include specific requests such as changing the itinerary or adding events.

[0481] Step 5:

[0482] Based on user feedback, the server reconfigures the travel plan using planning adjustment tools. New conditions are input into the AI ​​model, and the plan is generated again. The output is a travel plan adjusted to meet the user's new requirements.

[0483] Step 6:

[0484] Once the user approves the final travel plan, the server makes the flight and accommodation reservations through the booking execution mechanism. After the reservation is complete, the details are sent again to the user's device, and a confirmation email is also automatically sent. This allows the user to easily confirm their reservation.

[0485] (Application Example 1)

[0486] 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."

[0487] Creating an efficient and economical travel plan requires gathering information and proper planning, but this is time-consuming for users, and obtaining real-time information and adjusting schedules on-site presents challenges. Furthermore, especially for sightseeing within cities, there is a need for optimal route suggestions that take into account constantly changing congestion levels and event information.

[0488] 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.

[0489] In this invention, the server includes information input means for inputting the user's travel requirements, information acquisition means for collecting travel-related information from an external database in real time, and route suggestion means for collecting information on tourist resources within a city and suggesting tourist routes in real time based on the user's location information. This makes it possible to generate and adjust efficient and attractive travel plans that take into account the user's preferences and real-time city information.

[0490] "Information input means" refers to a function that allows users to input travel requirements and conditions via a terminal.

[0491] "Information acquisition means" refers to a function that accesses external databases to collect information related to travel, such as airline tickets, accommodations, events, and restaurants, in real time.

[0492] The "plan generation method" is a function that automatically generates the optimal travel plan that matches the user's travel requirements based on the collected information.

[0493] A "feedback mechanism" is a function that presents the generated travel plan to the user and allows for the collection of opinions and requests from the user.

[0494] The "plan adjustment mechanism" is a function that readjusts and optimizes travel plans based on user feedback.

[0495] The "route suggestion method" is a function that suggests the optimal sightseeing route in real time, taking into account the user's location information, based on information about tourist resources within the city.

[0496] "Reservation method" refers to a function that allows users to make reservations for the most suitable means of transportation and accommodation based on the generated travel plan.

[0497] The system for realizing this invention is centered around a server and a user terminal. The server launches a program that includes means for inputting information, acquiring information, generating plans, providing feedback, adjusting plans, suggesting routes, and making reservations for the user. The user terminal is a smartphone, smart glasses, mobile computer, etc., and functions as an interface for the user to input information, receive travel plan suggestions, and provide feedback.

[0498] The server, for example, is built on a cloud infrastructure and accesses external databases via the internet through an information acquisition means to collect information such as airline tickets, accommodations, events, and restaurants in real time. The collected information is analyzed by a plan generation means to generate a travel plan that best suits the user's requirements. The generated plan is sent to the user's terminal and displayed on the interface. The user provides feedback as needed, and the plan is further optimized by a plan adjustment means. In addition, a route suggestion means utilizes GPS information to suggest the optimal route for sightseeing within a city, calculating the best route from local tourist resource information and presenting it to the terminal.

[0499] When the server executes a booking, it sends relevant flight and accommodation information to the booking database based on the plan approved by the user, and the booking process is executed. The software used may include, for example, the Google Maps API or cloud booking system APIs.

[0500] As a concrete example, when traveler A visits Tokyo, this system proposes a plan to visit Ueno Park, Senso-ji Temple, and the Akasaka area. It provides a plan that visualizes the optimal route, taking into account travel time and congestion.

[0501] The prompt for the generating AI model can be set to, "Please suggest recommended sightseeing routes in real time within the city the user is visiting. Please include restaurants, cultural events, and shopping spots."

[0502] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0503] Step 1:

[0504] The user enters travel requirements such as destination, budget, and itinerary via a terminal. The entered data is sent to the server and received by the information input device. The entered data is stored on the server as basic information for generating a travel plan.

[0505] Step 2:

[0506] The server accesses external databases in real time using information retrieval methods. It collects information on airline tickets, accommodations, events, restaurants, etc., and the information retrieved from the database is filtered according to the travel itinerary and converted into data relevant to the user's requirements.

[0507] Step 3:

[0508] The server analyzes the information collected using the plan generation mechanism. It applies data analysis algorithms to create the optimal travel plan for the user's requirements, generating an optimized travel schedule and list of destinations. This generated plan is then sent to the user's terminal.

[0509] Step 4:

[0510] The generated travel plan is presented to the user's device. The user reviews the plan and provides feedback as needed. This feedback may include adding destinations or adjusting the schedule. The server receives this information through the feedback mechanism.

[0511] Step 5:

[0512] The server uses a plan adjustment mechanism to readjust the travel plan based on feedback. Upon user request, it runs a new optimization process and generates a revised plan. This plan is then sent back to the user.

[0513] Step 6:

[0514] The server uses route suggestion tools to utilize the user's current location information and calculate sightseeing routes within the city in real time. Based on GPS data and a city tourism database, it calculates available route information and displays the route visually on the device.

[0515] Step 7:

[0516] Once the user approves the final plan, the server uses the booking method to proceed with booking flights and accommodations. It generates the necessary data for the booking and sends it to a partnered external booking system to confirm the reservation.

[0517] 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.

[0518] This invention is a system that streamlines the user's travel planning process and provides travel plans optimized according to their individual emotional state. This system collects information in real time based on the requirements entered by the user and further generates and adjusts plans that take the user's emotional state into consideration using an emotion engine.

[0519] First, the user uses a terminal to enter their travel destination, dates, budget, accommodation preferences, events or facilities they wish to visit, and any other important appointments. Once this information is sent to the server, the system receives it through a designated input method and records it as basic data for the travel plan.

[0520] The server uses information acquisition tools to access external databases and collect real-time information on airfare, hotel prices, and local events. Based on this information, the server uses plan generation tools to automatically generate the travel plan best suited to the user's requirements.

[0521] Next, along with the collected plan information, the emotion engine analyzes the user's emotions and uses this information to generate and adjust the plan. For example, if a user expresses high satisfaction with a particular travel destination, the system can generate a plan that prioritizes that option.

[0522] The generated travel plan is presented to the user via their device, allowing them to review its contents and provide feedback. For example, if a user is dissatisfied with the presented travel destination, the emotion engine detects this dissatisfaction and works in conjunction with the plan generation system to make adjustments.

[0523] Upon receiving user feedback, the server utilizes the feedback mechanism to readjust the travel plan and, if necessary, uses the emotion engine for further improvements. Finally, once the plan is approved, taking both the user's requests and emotions into consideration, the booking mechanism is used to execute the booking of flights and accommodations.

[0524] This system allows users to obtain customized travel plans that reflect their own feelings, resulting in a more satisfying travel experience.

[0525] The following describes the processing flow.

[0526] Step 1:

[0527] The user enters travel requirements into their device, such as their destination, desired dates, budget, hotel preferences, events or restaurants they wish to visit, and other important appointments.

[0528] Step 2:

[0529] The server receives this input data from the terminal and stores it as basic data for the travel plan.

[0530] Step 3:

[0531] The server accesses an external database and activates a means of retrieving information to collect real-time data on flight prices, hotel rates, and travel destination event information.

[0532] Step 4:

[0533] The server uses a plan generation mechanism to automatically generate a travel plan optimized for the user's requirements, based on data collected by the information acquisition mechanism. This plan includes optimal flight tickets, appropriate hotel selections, and event participation schedules.

[0534] Step 5:

[0535] The device uses an emotion engine to analyze the user's emotions, performing an emotional assessment based on the requirements and past preferences entered by the user. The results are then fed back into the plan generation system.

[0536] Step 6:

[0537] Based on the results of the sentiment evaluation, the server adjusts the travel plan to suit the user's emotions. In this step, destinations and activities that the user showed particular interest in are incorporated into the plan.

[0538] Step 7:

[0539] The server sends the adjusted travel plan back to the terminal and presents it to the user. The user can then provide further feedback on the presented plan.

[0540] Step 8:

[0541] Based on user feedback, the server adjusts the travel plan again, using feedback mechanisms if necessary. This process also utilizes the emotion engine to pursue the optimal plan.

[0542] Step 9:

[0543] Once the user approves the final travel plan, the server uses the booking method to complete the booking process for flights and accommodations.

[0544] This process allows users to obtain customized travel plans that reflect their interests and feelings.

[0545] (Example 2)

[0546] 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."

[0547] When planning a trip, users must gather a wide variety of information and use it to create a plan that suits their wishes and feelings. However, selecting the best option from a vast amount of information is time-consuming, and there is insufficient technology to automatically adjust the plan to fit the user's emotions. Therefore, a system is needed that can efficiently propose the optimal travel plan according to the user's requests and emotional state.

[0548] 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.

[0549] In this invention, the server includes information input means, information acquisition means, emotion analysis means, plan generation and adjustment means, feedback means, plan readjustment means, and reservation means. This enables the automatic generation of travel plans that reflect the user's requests and emotional state, and real-time readjustment.

[0550] An "information input means" is an interface that provides users with the ability to input their travel requirements.

[0551] "Information acquisition means" refers to a system that has the function of collecting travel-related information from external sources in real time.

[0552] "Emotional analysis methods" are technologies that analyze a user's emotional state based on user input information and past feedback.

[0553] A "plan generation and adjustment means" is a device that generates a travel plan based on acquired information and analyzed emotions, and makes adjustments as needed.

[0554] A "feedback mechanism" is a means for users to input their satisfaction level and requests for revisions to the generated travel plan.

[0555] A "plan readjustment mechanism" is a function that readjusts the travel plan based on user feedback.

[0556] A "booking system" is a system for making reservations for travel and accommodation based on an approved travel plan.

[0557] This invention is a system for users to efficiently plan their trips. The system generates travel plans considering the user's requests and preferences, and makes adjustments as needed. The system primarily uses a server and a terminal. The user uses a terminal, such as a smartphone or PC. The terminal uses a web browser or a dedicated application as an interface for inputting travel destinations, dates, budget, and accommodation preferences.

[0558] The server receives information and uses information acquisition tools to collect information on airline tickets, accommodations, and local events from external sources. This includes using APIs such as the Google Flights API and hotel booking site APIs. Furthermore, the server uses sentiment analysis tools to analyze the user's emotions based on their past feedback and input information. This analysis utilizes generative AI models employing natural language processing technology.

[0559] Based on the analysis results, the server creates an optimal travel plan through a plan generation and adjustment mechanism. This plan takes into account the user's emotional state and is adjusted to individual needs. When the user provides feedback on the plan, they can input their opinions through a terminal, and the server readjusts the plan based on this feedback.

[0560] Once a plan is finally approved by the user, the server-side booking system executes the reservation of flights and accommodations using the booking mechanism. The API of the travel booking site is used to execute the reservation, and a confirmation is sent to the user after the reservation is complete.

[0561] For example, if a user is planning a trip to Hawaii, they would input information such as "Hawaii," "May 2024," "budget of 200,000 yen," and "hotel near the beach" from their device. Based on this data, the server generates an optimal travel plan that includes the user's preferred activities.

[0562] Examples of prompts to input into a generative AI model include the following:

[0563] "The user is planning a trip to Hawaii. Based on their destination, dates, budget, desired accommodations, and places they want to visit, please suggest the best travel plan. Also, while considering the user's feelings about the plan, please point out any adjustments that may be necessary."

[0564] In this way, the present invention makes it possible to provide high-quality travel experiences that meet the needs of users.

[0565] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0566] Step 1:

[0567] The user uses a terminal to input travel plan information. This input information includes destination, dates, budget, accommodation preferences, and places or events they wish to visit. Once input is complete, the terminal sends the information to the server. This allows the server to store the basic requirements of the trip as data.

[0568] Step 2:

[0569] The server collects relevant information from external sources based on the received travel plan information. Using information acquisition methods, it obtains real-time data such as airfare, hotel availability, and local event schedules. Specifically, it accesses each information source using APIs, retrieves the necessary information, and compiles it. This data collection provides the foundational materials for creating travel plans.

[0570] Step 3:

[0571] The server analyzes the user's emotions using sentiment analysis tools based on collected information and user input data. Using a generative AI model, it infers the user's emotional state based on past feedback and preferences. The emotional information obtained from the input data is used as a guide when adjusting travel plans. As a result, planning tailored to the user's current psychological state becomes possible.

[0572] Step 4:

[0573] The server generates the optimal travel plan through a plan generation and adjustment mechanism. Here, data obtained from information acquisition mechanisms and the results of sentiment analysis are combined to propose a travel plan that best suits the user's needs. In terms of data processing, an AI model selects the optimal combination of information and makes adjustments that take the user's emotions into consideration. This results in a travel plan optimized for the user.

[0574] Step 5:

[0575] The server sends the generated travel plan to the user's device and presents it to them. The user reviews the plan details on their device and rates their satisfaction level. If they have feedback, the user sends it to the server via their device. This feedback is treated as important information for adjusting and improving the travel plan.

[0576] Step 6:

[0577] The server reconstructs the travel plan using a plan readjustment mechanism based on user feedback. It refers to the content of the feedback and sentiment analysis, and modifies the plan if necessary. Specifically, it identifies what needs to be changed and uses the API again to create a new plan. This process allows for adjustments that best reflect the user's wishes.

[0578] Step 7:

[0579] Ultimately, the server uses booking methods based on the confirmed travel plan to execute travel and accommodation reservations. Booking information is retrieved via API, and the formal booking process is managed with each provider. After booking is complete, a confirmation is sent to the user via their device, and all planning steps are complete.

[0580] (Application Example 2)

[0581] 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."

[0582] Planning a trip in the modern era is time-consuming and cumbersome, making it difficult for users to find a truly satisfying itinerary. Furthermore, users may struggle to utilize the most appropriate services and perks tailored to their needs, and the payment process can become cumbersome. This results in a less-than-smooth and more satisfying travel experience for users.

[0583] 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.

[0584] In this invention, the server includes information input means for collecting user travel requests, data collection means for acquiring travel-related data from an external storage device in real time, plan generation means for automatically assembling a travel plan suitable for the user's requests based on the acquired data, opinion collection means for displaying the generated travel plan to the user and soliciting their opinions, plan adjustment means for readjusting the travel plan based on the opinions, and payment integration means for coordinating with related services for processing payments. This makes it possible to efficiently handle everything from travel planning to payment, and enables service improvements that respond to the user's emotions.

[0585] "Information input means for collecting user travel requests" refers to an interface for users to input their desired travel destination, budget, and other requirements.

[0586] "Data collection means" refers to a device or system for acquiring travel-related information in real time from external storage devices or databases.

[0587] A "plan generation means" refers to a method or process for automatically assembling a travel plan that is suitable for the user's requirements based on acquired data.

[0588] "Methods for collecting feedback" refer to methods for receiving user feedback and opinions on the generated travel plans.

[0589] "Planning adjustment means" refers to methods for readjusting travel plans based on user feedback and opinions.

[0590] A "payment integration method" is a means of linking with external payment services in order to process payments related to travel plans.

[0591] "Arrangement methods" refer to the processes and systems used to arrange the most suitable means of transportation and accommodations based on the generated travel plan.

[0592] "Schedule adjustment methods" refer to the processes and methods for adjusting travel plans based on the user's important dates.

[0593] This embodiment of the invention enables users to efficiently and effectively plan their travels and smoothly handle related payments. The server is built within a cloud computing environment and is responsible for acquiring travel information and processing user feedback. As a means of data collection, it uses APIs from external travel information services to obtain the latest flight information and accommodation availability data.

[0594] The user's device (smartphone or PC) is equipped with means for information input and opinion collection, allowing the user to input travel requirements and provide feedback on the presented travel plan. The plan generation means operates using an AI algorithm based on the acquired data and user requests to generate the optimal travel plan. Here, a "generative AI model" is used to dynamically adjust the travel plan based on user input and sentiment analysis results.

[0595] Feedback gathering and plan adjustments are repeated until a plan that better satisfies the user is achieved. Once the plan is finalized, the server triggers the payment process to complete the travel arrangements through integrated payment methods. Here, integration with external payment services enables secure and fast payment based on the payment information provided by the user.

[0596] For example, if a user expresses interest in a cultural trip to Tokyo and shows excitement about visiting museums, the system will take this into account and propose a plan with discounted offers. Using a generative AI model, it will maximize the evaluation of the user's expressed interests and generate a corresponding prompt message as input, such as: "Based on the following travel plan, please suggest the best campaign and consider offers to enhance traveler satisfaction. Destination: Tokyo, Feedback: I want to enjoy cultural experiences!"

[0597] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0598] Step 1:

[0599] The user enters their travel preferences into the terminal. Information such as destination, budget, itinerary, and desired activities is entered. This information is sent to the server and stored in the system as basic data. The entered data is used to specify the user's travel requests.

[0600] Step 2:

[0601] The server uses the acquired user information to access APIs of external travel information services and collect travel-related data. Specifically, it collects information such as airfare prices, accommodation availability, and local event information. User information is the input, and the output is the latest travel data.

[0602] Step 3:

[0603] The server automatically generates a travel plan based on acquired travel data and user requests using a plan generation mechanism. Here, a generation AI model is used to propose the optimal plan for the user's preferences. The input is the collected data and user requests, and the output is a provisional travel plan.

[0604] Step 4:

[0605] The generated travel plan is presented to the user's device, and the user reviews the plan and provides feedback. The user can express their satisfaction with the plan and request modifications to specific elements. The input is the generated plan, and the output is the user feedback.

[0606] Step 5:

[0607] The server analyzes the feedback received from the user and readjusts the travel plan as needed. It uses a plan adjustment mechanism to fine-tune the plan based on the feedback. The input is the user's feedback, and the output is the new, adjusted travel plan.

[0608] Step 6:

[0609] Ultimately, the server uses integrated payment methods to process the necessary payments based on the confirmed travel plan. This includes integration with partnered external payment services. The user's payment information and travel plan are used as input, and the output is confirmation that the payment has been completed.

[0610] Step 7:

[0611] The server notifies the user of the confirmation of the travel plan and completion of payment. This final notification includes the booking confirmation and necessary travel documents. The input is payment confirmation information, and the output is the notification to the user.

[0612] 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.

[0613] 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.

[0614] 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.

[0615] [Fourth Embodiment]

[0616] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0617] 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.

[0618] 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).

[0619] 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.

[0620] 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.

[0621] 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).

[0622] 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.

[0623] 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.

[0624] 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.

[0625] 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.

[0626] 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.

[0627] 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.

[0628] 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".

[0629] This invention provides a system that enables users to create travel plans efficiently and economically. Its embodiments are described in detail below.

[0630] First, the user enters their travel destination, dates, budget, desired hotel conditions, events or restaurants they want to visit, and important appointments via their device. This information is sent to the server and used as basic data for the travel plan.

[0631] The server connects to databases of external airline and hotel information providers to obtain the best flight and hotel rates in real time. Furthermore, it collects data on local events, restaurant opening hours, and congestion forecasts.

[0632] Based on the collected information, the server automatically generates a travel plan that best suits the user's requirements. This travel plan includes the most economical flight and hotel combinations, as well as a schedule of local events and restaurant visits.

[0633] The generated travel plan is presented to the user via their device. The user can review the plan and provide feedback as needed, such as requesting changes to the visit dates or adding specific events.

[0634] The server readjusts the travel plan based on user feedback. It's designed to regenerate an optimal travel schedule, taking into account scheduling to avoid important events before and after. The adjusted plan is then presented to the user again via their device.

[0635] Once the user approves the final plan, the server proceeds with the flight and accommodation booking process. This entire process allows users to easily finalize the travel plan that best suits their needs without any hassle.

[0636] The following describes the processing flow.

[0637] Step 1:

[0638] The user uses their device to enter travel requirements such as their destination, desired dates, budget, hotel preferences, events or restaurants they wish to visit, and important appointments.

[0639] Step 2:

[0640] The server receives user input information sent from the terminal and stores it as basic data for the travel plan.

[0641] Step 3:

[0642] The server connects to an external database to collect real-time information on flight sales, hotel rates, local events, and restaurants. This information is used to match user requirements.

[0643] Step 4:

[0644] The server analyzes the collected information and automatically generates the travel plan best suited to the user's requirements. The plan includes the optimal flight and hotel combinations, event schedules, and restaurant visits.

[0645] Step 5:

[0646] The server sends the generated travel plan to the device. The device then presents this to the user and provides an interface for confirmation and feedback.

[0647] Step 6:

[0648] Users review the presented travel plan and, if necessary, send feedback to the server via their device, such as changing the visit dates or adding events to participate in.

[0649] Step 7:

[0650] The server receives user feedback and readjusts the travel plan. It adjusts the schedule to avoid impacting important appointments and updates the plan in the best possible way.

[0651] Step 8:

[0652] The server sends the revised travel plan back to the terminal and asks the user for final confirmation. If the user approves the plan, the server proceeds with booking flights and accommodations.

[0653] (Example 1)

[0654] 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".

[0655] Traditional travel planning required users to manually sift through vast amounts of information to create the optimal plan, which was time-consuming and laborious. Furthermore, it was difficult to flexibly adjust plans to meet diverse user needs and to gather information in real time. Therefore, there was a need to improve the efficiency and accuracy of travel planning and reduce the burden on users.

[0656] 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.

[0657] In this invention, the server includes information acquisition means for acquiring travel-related information in real time from an external data supply device, plan generation means for analyzing the acquired information and automatically generating an optimal travel plan for the user's needs using a generated AI model, and plan adjustment means for reconfiguring the travel plan based on user feedback. This enables the user to obtain an optimal travel plan quickly and efficiently, and also facilitates flexible adjustments based on feedback.

[0658] "Information input means" refers to a device or method that provides an interface for a user to input travel-related requests and conditions.

[0659] "Information acquisition means" refers to a device or method for acquiring the latest travel-related information in real time from an external data source.

[0660] A "plan generation means" is a device or method that analyzes acquired information and uses a generation AI model to automatically create a travel plan that suits the user's needs.

[0661] "Feedback collection means" refers to a device or method for collecting opinions and requests from users regarding the generated travel plan.

[0662] "Planning adjustment means" refers to a device or method for reconstructing a travel plan based on feedback collected from users and making appropriate adjustments.

[0663] A "booking execution means" is a device or method for confirming reservations for air tickets and accommodations based on an optimized travel plan.

[0664] "Schedule adjustment means" refers to a device or method for readjusting the specific travel dates and schedules, taking into account the user's important dates and schedules.

[0665] This invention provides a system that enables users to create travel plans efficiently and economically. Detailed embodiments are described below.

[0666] First, the user enters their travel requests using a device. This device, such as a personal computer or smartphone, is used to input destination, travel dates, budget, accommodation requirements, and desired events or restaurants. This information is then transmitted to the server using a secure communication protocol.

[0667] The server connects to an external data supply device as a means of acquiring information and collects a variety of travel-related data in real time, such as flight and accommodation information, local event schedules, restaurant opening hours, and congestion forecasts. For database connection software, commonly used APIs and database management systems (e.g., MySQL) are used.

[0668] Based on the collected data, the server utilizes a generative AI model to generate the optimal travel plan for the user's requirements. This generative AI model analyzes data patterns and suggests the best flight and hotel combinations. For example, if a user inputs requirements such as "a 3-day trip to Tokyo with a budget of 50,000 yen and accommodation near Ginza," the AI ​​model will design the optimal plan based on this information.

[0669] The generated travel plan is displayed on the device, allowing the user to review the plan details. Users can send feedback to the server as needed, requesting further customization such as date changes or event additions. For example, by entering "Tokyo trip, 3 days, budget 50,000 yen, Ginza accommodation, including art event visits" as a prompt, the AI ​​model can adjust its suggestions.

[0670] Finally, based on the travel plan approved by the user, the server proceeds with the booking process for airfare and accommodations via the booking execution mechanism. After the booking is complete, a confirmation email is sent to the user, and the details of the travel plan can be managed on the device. This entire process allows users to finalize their travel plans quickly and easily.

[0671] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0672] Step 1:

[0673] Users use their devices to input information about their travel destination, itinerary, budget, accommodation requirements, and desired events and restaurants. The entered data is securely transmitted from the device to the server. The server receives this information and stores it in a database as basic data for travel planning.

[0674] Step 2:

[0675] The server uses information acquisition methods to obtain the latest travel-related information from external data supply devices. Specifically, it obtains airline ticket prices, accommodation availability, and local event and restaurant operating information via APIs. The acquired data is stored in the server's internal database and used for analysis.

[0676] Step 3:

[0677] The server uses a generative AI model to create travel plans based on the collected data. The AI ​​model selects the flight and accommodation combination that best suits the user's requirements and generates a travel plan that includes event schedules and restaurant visit plans. In this generation process, the model analyzes multiple data patterns to derive the optimal solution.

[0678] Step 4:

[0679] The generated travel plan is sent from the server to the device and displayed on the user's screen. The user reviews the provided plan and sends feedback from their device if they need to change specific conditions. This feedback may include specific requests such as changing the itinerary or adding events.

[0680] Step 5:

[0681] Based on user feedback, the server reconfigures the travel plan using planning adjustment tools. New conditions are input into the AI ​​model, and the plan is generated again. The output is a travel plan adjusted to meet the user's new requirements.

[0682] Step 6:

[0683] Once the user approves the final travel plan, the server makes the flight and accommodation reservations through the booking execution mechanism. After the reservation is complete, the details are sent again to the user's device, and a confirmation email is also automatically sent. This allows the user to easily confirm their reservation.

[0684] (Application Example 1)

[0685] 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".

[0686] Creating an efficient and economical travel plan requires gathering information and proper planning, but this is time-consuming for users, and obtaining real-time information and adjusting schedules on-site presents challenges. Furthermore, especially for sightseeing within cities, there is a need for optimal route suggestions that take into account constantly changing congestion levels and event information.

[0687] 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.

[0688] In this invention, the server includes information input means for inputting the user's travel requirements, information acquisition means for collecting travel-related information from an external database in real time, and route suggestion means for collecting information on tourist resources within a city and suggesting tourist routes in real time based on the user's location information. This makes it possible to generate and adjust efficient and attractive travel plans that take into account the user's preferences and real-time city information.

[0689] "Information input means" refers to a function that allows users to input travel requirements and conditions via a terminal.

[0690] "Information acquisition means" refers to a function that accesses external databases to collect information related to travel, such as airline tickets, accommodations, events, and restaurants, in real time.

[0691] The "plan generation method" is a function that automatically generates the optimal travel plan that matches the user's travel requirements based on the collected information.

[0692] A "feedback mechanism" is a function that presents the generated travel plan to the user and allows for the collection of opinions and requests from the user.

[0693] The "plan adjustment mechanism" is a function that readjusts and optimizes travel plans based on user feedback.

[0694] The "route suggestion method" is a function that suggests the optimal sightseeing route in real time, taking into account the user's location information, based on information about tourist resources within the city.

[0695] "Reservation method" refers to a function that allows users to make reservations for the most suitable means of transportation and accommodation based on the generated travel plan.

[0696] The system for realizing this invention is centered around a server and a user terminal. The server launches a program that includes means for inputting information, acquiring information, generating plans, providing feedback, adjusting plans, suggesting routes, and making reservations for the user. The user terminal is a smartphone, smart glasses, mobile computer, etc., and functions as an interface for the user to input information, receive travel plan suggestions, and provide feedback.

[0697] The server, for example, is built on a cloud infrastructure and accesses external databases via the internet through an information acquisition means to collect information such as airline tickets, accommodations, events, and restaurants in real time. The collected information is analyzed by a plan generation means to generate a travel plan that best suits the user's requirements. The generated plan is sent to the user's terminal and displayed on the interface. The user provides feedback as needed, and the plan is further optimized by a plan adjustment means. In addition, a route suggestion means utilizes GPS information to suggest the optimal route for sightseeing within a city, calculating the best route from local tourist resource information and presenting it to the terminal.

[0698] When the server executes a booking, it sends relevant flight and accommodation information to the booking database based on the plan approved by the user, and the booking process is executed. The software used may include, for example, the Google Maps API or cloud booking system APIs.

[0699] As a concrete example, when traveler A visits Tokyo, this system proposes a plan to visit Ueno Park, Senso-ji Temple, and the Akasaka area. It provides a plan that visualizes the optimal route, taking into account travel time and congestion.

[0700] The prompt for the generating AI model can be set to, "Please suggest recommended sightseeing routes in real time within the city the user is visiting. Please include restaurants, cultural events, and shopping spots."

[0701] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0702] Step 1:

[0703] The user enters travel requirements such as destination, budget, and itinerary via a terminal. The entered data is sent to the server and received by the information input device. The entered data is stored on the server as basic information for generating a travel plan.

[0704] Step 2:

[0705] The server accesses external databases in real time using information retrieval methods. It collects information on airline tickets, accommodations, events, restaurants, etc., and the information retrieved from the database is filtered according to the travel itinerary and converted into data relevant to the user's requirements.

[0706] Step 3:

[0707] The server analyzes the information collected using the plan generation mechanism. It applies data analysis algorithms to create the optimal travel plan for the user's requirements, generating an optimized travel schedule and list of destinations. This generated plan is then sent to the user's terminal.

[0708] Step 4:

[0709] The generated travel plan is presented to the user's device. The user reviews the plan and provides feedback as needed. This feedback may include adding destinations or adjusting the schedule. The server receives this information through the feedback mechanism.

[0710] Step 5:

[0711] The server uses a plan adjustment mechanism to readjust the travel plan based on feedback. Upon user request, it runs a new optimization process and generates a revised plan. This plan is then sent back to the user.

[0712] Step 6:

[0713] The server uses route suggestion tools to utilize the user's current location information and calculate sightseeing routes within the city in real time. Based on GPS data and a city tourism database, it calculates available route information and displays the route visually on the device.

[0714] Step 7:

[0715] Once the user approves the final plan, the server uses the booking method to proceed with booking flights and accommodations. It generates the necessary data for the booking and sends it to a partnered external booking system to confirm the reservation.

[0716] 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.

[0717] This invention is a system that streamlines the user's travel planning process and provides travel plans optimized according to their individual emotional state. This system collects information in real time based on the requirements entered by the user and further generates and adjusts plans that take the user's emotional state into consideration using an emotion engine.

[0718] First, the user uses a terminal to enter their travel destination, dates, budget, accommodation preferences, events or facilities they wish to visit, and any other important appointments. Once this information is sent to the server, the system receives it through a designated input method and records it as basic data for the travel plan.

[0719] The server uses information acquisition tools to access external databases and collect real-time information on airfare, hotel prices, and local events. Based on this information, the server uses plan generation tools to automatically generate the travel plan best suited to the user's requirements.

[0720] Next, along with the collected plan information, the emotion engine analyzes the user's emotions and uses this information to generate and adjust the plan. For example, if a user expresses high satisfaction with a particular travel destination, the system can generate a plan that prioritizes that option.

[0721] The generated travel plan is presented to the user via their device, allowing them to review its contents and provide feedback. For example, if a user is dissatisfied with the presented travel destination, the emotion engine detects this dissatisfaction and works in conjunction with the plan generation system to make adjustments.

[0722] Upon receiving feedback from the user, the server utilizes the feedback mechanism to readjust the travel plan and, if necessary, uses the emotion engine to make further improvements. Finally, once the plan is approved, taking both the user's requests and emotions into consideration, the booking mechanism is used to execute the booking of flights and accommodations.

[0723] This system allows users to obtain customized travel plans that reflect their own feelings, resulting in a more satisfying travel experience.

[0724] The following describes the processing flow.

[0725] Step 1:

[0726] The user enters travel requirements into their device, such as their travel destination, desired dates, budget, hotel preferences, events or restaurants they wish to visit, and important appointments.

[0727] Step 2:

[0728] The server receives this input data from the terminal and stores it as basic data for the travel plan.

[0729] Step 3:

[0730] The server accesses an external database and activates a means of retrieving information to collect real-time data on flight prices, hotel rates, and travel destination event information.

[0731] Step 4:

[0732] The server uses a plan generation mechanism to automatically generate a travel plan optimized for the user's requirements, based on data collected by the information acquisition mechanism. This plan includes optimal flight tickets, appropriate hotel selections, and event participation schedules.

[0733] Step 5:

[0734] The device uses an emotion engine to analyze the user's emotions, performing an emotional assessment based on the requirements and past preferences entered by the user. The results are then fed back into the plan generation system.

[0735] Step 6:

[0736] Based on the results of the sentiment assessment, the server adjusts the travel plan to suit the user's emotions. In this step, destinations and activities that the user showed particular interest in are incorporated into the plan.

[0737] Step 7:

[0738] The server sends the adjusted travel plan back to the terminal and presents it to the user. The user can then provide further feedback on the presented plan.

[0739] Step 8:

[0740] Based on user feedback, the server will adjust the travel plan again, using feedback mechanisms if necessary. This process also utilizes the emotion engine to pursue the optimal plan.

[0741] Step 9:

[0742] Once the user approves the final travel plan, the server uses the booking method to complete the booking process for flights and accommodations.

[0743] This process allows users to obtain customized travel plans that reflect their interests and feelings.

[0744] (Example 2)

[0745] 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".

[0746] When planning a trip, users must gather a wide variety of information and use it to create a plan that suits their wishes and feelings. However, selecting the best option from a vast amount of information is time-consuming, and there is insufficient technology to automatically adjust the plan to fit the user's emotions. Therefore, a system is needed that can efficiently propose the optimal travel plan according to the user's requests and emotional state.

[0747] 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.

[0748] In this invention, the server includes information input means, information acquisition means, emotion analysis means, plan generation and adjustment means, feedback means, plan readjustment means, and reservation means. This enables the automatic generation of travel plans that reflect the user's requests and emotional state, and real-time readjustment.

[0749] An "information input means" is an interface that provides users with the ability to input their travel requirements.

[0750] "Information acquisition means" refers to a system that has the function of collecting travel-related information from external sources in real time.

[0751] "Emotional analysis methods" are technologies that analyze a user's emotional state based on user input information and past feedback.

[0752] A "plan generation and adjustment means" is a device that generates a travel plan based on acquired information and analyzed emotions, and makes adjustments as needed.

[0753] A "feedback mechanism" is a means for users to input their satisfaction level and requests for revisions to the generated travel plan.

[0754] A "plan readjustment mechanism" is a function that readjusts the travel plan based on user feedback.

[0755] A "booking system" is a system for making reservations for travel and accommodation based on an approved travel plan.

[0756] This invention is a system for users to efficiently plan their trips. The system generates travel plans considering the user's requests and preferences, and makes adjustments as needed. The system primarily uses a server and a terminal. The user uses a terminal, such as a smartphone or PC. The terminal uses a web browser or a dedicated application as an interface for inputting travel destinations, dates, budget, and accommodation preferences.

[0757] The server receives information and uses information acquisition tools to collect information on airline tickets, accommodations, and local events from external sources. This includes using APIs such as the Google Flights API and hotel booking site APIs. Furthermore, the server uses sentiment analysis tools to analyze the user's emotions based on their past feedback and input information. This analysis utilizes generative AI models employing natural language processing technology.

[0758] Based on the analysis results, the server creates an optimal travel plan through a plan generation and adjustment mechanism. This plan takes into account the user's emotional state and is adjusted to individual needs. When the user provides feedback on the plan, they can input their opinions through a terminal, and the server readjusts the plan based on this feedback.

[0759] Once a plan is finally approved by the user, the server-side booking system executes the reservation of flights and accommodations using the booking mechanism. The API of the travel booking site is used to execute the reservation, and a confirmation is sent to the user after the reservation is complete.

[0760] For example, if a user is planning a trip to Hawaii, they would input information such as "Hawaii," "May 2024," "budget of 200,000 yen," and "hotel near the beach" from their device. Based on this data, the server generates an optimal travel plan that includes the user's preferred activities.

[0761] Examples of prompts to input into a generative AI model include the following:

[0762] "The user is planning a trip to Hawaii. Based on their destination, dates, budget, desired accommodations, and places they want to visit, please suggest the best travel plan. Also, while considering the user's feelings about the plan, please point out any adjustments that may be necessary."

[0763] In this way, the present invention makes it possible to provide high-quality travel experiences that meet the needs of users.

[0764] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0765] Step 1:

[0766] The user uses a terminal to input travel plan information. This input information includes destination, dates, budget, accommodation preferences, and places or events they wish to visit. Once input is complete, the terminal sends the information to the server. This allows the server to store the basic requirements of the trip as data.

[0767] Step 2:

[0768] The server collects relevant information from external sources based on the received travel plan information. Using information acquisition methods, it obtains real-time data such as airfare, hotel availability, and local event schedules. Specifically, it accesses each information source using APIs, retrieves the necessary information, and compiles it. This data collection provides the foundational materials for creating travel plans.

[0769] Step 3:

[0770] The server analyzes the user's emotions using sentiment analysis tools based on collected information and user input data. Using a generative AI model, it infers the user's emotional state based on past feedback and preferences. The emotional information obtained from the input data is used as a guide when adjusting travel plans. As a result, planning tailored to the user's current psychological state becomes possible.

[0771] Step 4:

[0772] The server generates the optimal travel plan through a plan generation and adjustment mechanism. Here, data obtained from information acquisition mechanisms and the results of sentiment analysis are combined to propose a travel plan that best suits the user's needs. In terms of data processing, an AI model selects the optimal combination of information and makes adjustments that take the user's emotions into consideration. This results in a travel plan optimized for the user.

[0773] Step 5:

[0774] The server sends the generated travel plan to the user's device and presents it to them. The user reviews the plan details on their device and rates their satisfaction level. If they have feedback, the user sends it to the server via their device. This feedback is treated as important information for adjusting and improving the travel plan.

[0775] Step 6:

[0776] The server reconstructs the travel plan using a plan readjustment mechanism based on user feedback. It refers to the content of the feedback and sentiment analysis, and modifies the plan if necessary. Specifically, it identifies what needs to be changed and uses the API again to create a new plan. This process allows for adjustments that best reflect the user's wishes.

[0777] Step 7:

[0778] Ultimately, the server uses booking methods based on the confirmed travel plan to execute travel and accommodation reservations. Booking information is retrieved via API, and the formal booking process is managed with each provider. After booking is complete, a confirmation is sent to the user via their device, and all planning steps are complete.

[0779] (Application Example 2)

[0780] 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".

[0781] Planning a trip in the modern era is time-consuming and cumbersome, making it difficult for users to find a truly satisfying itinerary. Furthermore, users may struggle to utilize the most appropriate services and perks tailored to their needs, and the payment process can become cumbersome. This results in a less-than-smooth and more satisfying travel experience for users.

[0782] 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.

[0783] In this invention, the server includes information input means for collecting user travel requests, data collection means for acquiring travel-related data from an external storage device in real time, plan generation means for automatically assembling a travel plan suitable for the user's requests based on the acquired data, opinion collection means for displaying the generated travel plan to the user and soliciting their opinions, plan adjustment means for readjusting the travel plan based on the opinions, and payment integration means for coordinating with related services for processing payments. This makes it possible to efficiently handle everything from travel planning to payment, and enables service improvements that respond to the user's emotions.

[0784] "Information input means for collecting user travel requests" refers to an interface for users to input their desired travel destination, budget, and other requirements.

[0785] "Data collection means" refers to a device or system for acquiring travel-related information in real time from external storage devices or databases.

[0786] A "plan generation means" refers to a method or process for automatically assembling a travel plan that is suitable for the user's requirements based on acquired data.

[0787] "Methods for collecting feedback" refer to methods for receiving user feedback and opinions on the generated travel plans.

[0788] "Planning adjustment means" refers to methods for readjusting travel plans based on user feedback and opinions.

[0789] A "payment integration method" is a means of linking with external payment services in order to process payments related to travel plans.

[0790] "Arrangement methods" refer to the processes and systems used to arrange the most suitable means of transportation and accommodations based on the generated travel plan.

[0791] "Schedule adjustment methods" refer to the processes and methods for adjusting travel plans based on the user's important dates.

[0792] This embodiment of the invention enables users to efficiently and effectively plan their travels and smoothly handle related payments. The server is built within a cloud computing environment and is responsible for acquiring travel information and processing user feedback. As a means of data collection, it uses APIs from external travel information services to obtain the latest flight information and accommodation availability data.

[0793] The user's device (smartphone or PC) is equipped with means for information input and opinion collection, allowing the user to input travel requirements and provide feedback on the presented travel plan. The plan generation means operates using an AI algorithm based on the acquired data and user requests to generate the optimal travel plan. Here, a "generative AI model" is used to dynamically adjust the travel plan based on user input and sentiment analysis results.

[0794] Feedback gathering and plan adjustments are repeated until a plan that better satisfies the user is achieved. Once the plan is finalized, the server triggers the payment process to complete the travel arrangements through integrated payment methods. Here, integration with external payment services enables secure and fast payment based on the payment information provided by the user.

[0795] For example, if a user expresses interest in a cultural trip to Tokyo and shows excitement about visiting museums, the system will take this into account and propose a plan with discounted offers. Using a generative AI model, it will maximize the evaluation of the user's expressed interests and generate a corresponding prompt message as input, such as: "Based on the following travel plan, please suggest the best campaign and consider offers to enhance traveler satisfaction. Destination: Tokyo, Feedback: I want to enjoy cultural experiences!"

[0796] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0797] Step 1:

[0798] The user enters their travel preferences into the terminal. Information such as destination, budget, itinerary, and desired activities is entered. This information is sent to the server and stored in the system as basic data. The entered data is used to specify the user's travel requests.

[0799] Step 2:

[0800] The server uses the acquired user information to access APIs of external travel information services and collect travel-related data. Specifically, it collects information such as airfare prices, accommodation availability, and local event information. User information is the input, and the output is the latest travel data.

[0801] Step 3:

[0802] The server automatically generates a travel plan based on acquired travel data and user requests using a plan generation mechanism. Here, a generation AI model is used to propose the optimal plan for the user's preferences. The input is the collected data and user requests, and the output is a provisional travel plan.

[0803] Step 4:

[0804] The generated travel plan is presented to the user's device, and the user reviews the plan and provides feedback. The user can express their satisfaction with the plan and request modifications to specific elements. The input is the generated plan, and the output is the user feedback.

[0805] Step 5:

[0806] The server analyzes the feedback received from the user and readjusts the travel plan as needed. It uses a plan adjustment mechanism to fine-tune the plan based on the feedback. The input is the user's feedback, and the output is the new, adjusted travel plan.

[0807] Step 6:

[0808] Ultimately, the server uses integrated payment methods to process the necessary payments based on the confirmed travel plan. This includes integration with partnered external payment services. The user's payment information and travel plan are used as input, and the output is confirmation that the payment has been completed.

[0809] Step 7:

[0810] The server notifies the user of the confirmation of the travel plan and completion of payment. This final notification includes the booking confirmation and necessary travel documents. The input is payment confirmation information, and the output is the notification to the user.

[0811] 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.

[0812] 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.

[0813] 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.

[0814] 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.

[0815] 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.

[0816] 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.

[0817] 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.

[0818] 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.

[0819] 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."

[0820] 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.

[0821] 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.

[0822] 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.

[0823] 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.

[0824] 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.

[0825] 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.

[0826] 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.

[0827] 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.

[0828] 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.

[0829] 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.

[0830] 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.

[0831] 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.

[0832] The following is further disclosed regarding the embodiments described above.

[0833] (Claim 1)

[0834] A means for inputting information for the user's travel requirements,

[0835] A means of acquiring information that collects travel-related information from an external database in real time,

[0836] A plan generation method that automatically generates travel plans that match the user's requirements based on collected information,

[0837] A feedback mechanism that presents the generated travel plan to the user and accepts their feedback,

[0838] A plan adjustment mechanism to readjust travel plans based on feedback,

[0839] A system that includes this.

[0840] (Claim 2)

[0841] The system according to claim 1, further comprising a booking means for making optimal flight and accommodation reservations based on the generated travel plan.

[0842] (Claim 3)

[0843] The system according to claim 1, further comprising a schedule adjustment means for adjusting the travel schedule based on the user's important appointments.

[0844] "Example 1"

[0845] (Claim 1)

[0846] A means for users to input information regarding their travel requests,

[0847] An information acquisition means that obtains travel-related information in real time from an external data supply device,

[0848] A plan generation means that analyzes acquired information and uses a generation AI model to automatically generate a travel plan that is optimal for the user's needs,

[0849] A feedback collection mechanism that displays the generated travel plan and collects user feedback,

[0850] A plan adjustment mechanism that restructures the travel plan based on user feedback,

[0851] A system that includes this.

[0852] (Claim 2)

[0853] The system according to claim 1, further comprising a reservation execution means for making reservations for air tickets and accommodations based on an optimized travel plan.

[0854] (Claim 3)

[0855] The system according to claim 1, further comprising a scheduling means for adjusting the travel itinerary to take into account the user's important dates.

[0856] "Application Example 1"

[0857] (Claim 1)

[0858] A means for inputting information for the user's travel requirements,

[0859] A means of acquiring information that collects travel-related information from an external database in real time,

[0860] A plan generation method that automatically generates travel plans that match the user's requirements based on collected information,

[0861] A feedback mechanism that presents the generated travel plan to the user and accepts their feedback,

[0862] A plan adjustment mechanism to readjust travel plans based on feedback,

[0863] A route suggestion method that collects information on tourist resources within a city and proposes tourist routes in real time based on the user's location information,

[0864] A system that includes this.

[0865] (Claim 2)

[0866] The system according to claim 1, further comprising a booking means for booking optimal means of transport and accommodation based on the generated travel plan.

[0867] (Claim 3)

[0868] The system according to claim 1, further comprising a schedule adjustment means for adjusting the travel schedule based on the user's important appointments.

[0869] "Example 2 of combining an emotion engine"

[0870] (Claim 1)

[0871] A means for inputting information for the user's travel requirements,

[0872] A means of acquiring information that collects travel-related information from external sources in real time,

[0873] A means of analyzing the user's emotional state along with gathering information,

[0874] A plan generation and adjustment means that generates and adjusts a travel plan that matches the user's requirements based on analyzed emotional information,

[0875] A feedback mechanism that presents the generated travel plan to the user and accepts feedback,

[0876] A plan readjustment mechanism to readjust travel plans based on feedback,

[0877] A reservation method for executing a reservation,

[0878] A system that includes this.

[0879] (Claim 2)

[0880] The system according to claim 1, which makes reservations for the most suitable means of transportation and accommodation based on the generated travel plan.

[0881] (Claim 3)

[0882] The system according to claim 1, further comprising itinerary adjustment means for adjusting the travel itinerary based on the user's important schedule.

[0883] "Application example 2 when combining with an emotional engine"

[0884] (Claim 1)

[0885] A means for inputting information to collect user travel requests,

[0886] A data collection method that acquires travel-related data from an external storage device in real time,

[0887] A plan generation means that automatically assembles a travel plan suitable for the user's requests based on acquired data,

[0888] A method for collecting opinions by displaying the generated travel plan to users and soliciting their feedback,

[0889] A means of adjusting the travel plan based on feedback,

[0890] A payment integration method that works in conjunction with related services to process payments,

[0891] A system that includes this.

[0892] (Claim 2)

[0893] The system according to claim 1, further comprising arrangement means for arranging optimal means of transport and accommodation based on the generated travel plan.

[0894] (Claim 3)

[0895] The system according to claim 1, further comprising a scheduling means for adjusting a travel plan based on the user's important dates. [Explanation of symbols]

[0896] 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 means for inputting information for the user's travel requirements, A means of acquiring information that collects travel-related information from an external database in real time, A plan generation method that automatically generates travel plans that match the user's requirements based on collected information, A feedback mechanism that presents the generated travel plan to the user and accepts their feedback, A plan adjustment mechanism to readjust travel plans based on feedback, A route suggestion method that collects information on tourist resources within a city and proposes tourist routes in real time based on the user's location information, A system that includes this.

2. The system according to claim 1, further comprising a reservation means for making reservations for optimal means of transport and accommodation based on the generated travel plan.

3. The system according to claim 1, further comprising a schedule adjustment means for adjusting the travel schedule based on the user's important appointments.

Images