system

Abstract

We provide the system. [Solution] A means of receiving traveler input conditions, A generation means for generating a travel plan based on received input conditions, A booking method for making various reservations based on the generated travel plan, A means of monitoring and responding to changes in information that occur during travel in real time, A means of collecting feedback from travelers after their trip and incorporating it into future travel planning, Providing information on facilities around physical stores and supporting visits to those facilities, 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 in response to the user utterance.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] Modern travelers face complex processes such as collecting, planning, and reserving different travel destination information, which has become a significant burden during travel planning. There are also problems that it is difficult to respond to unexpected situations that occur during travel and to reflect the feedback after travel in the next travel, resulting in the problem that travelers need to spend a lot of time and effort on travel preparation.

Means for Solving the Problems

[0005] This invention provides a system that automatically generates an optimal travel plan based on the traveler's input conditions and comprehensively manages various reservations based on the generated plan. Furthermore, it responds in real time to changes in information during the trip and collects traveler feedback after the trip is completed, reflecting it in future travel plans, thereby reducing the traveler's preparation burden and realizing a more comfortable and personalized travel experience.

[0006] A "traveler" is an individual who plans and carries out a trip to a specific place with a particular purpose or interest.

[0007] "Input conditions" refer to the preferences and constraints that travelers need to consider when planning their trip, and specifically include budget, itinerary, destinations, and activities of interest.

[0008] A "travel plan" is a proposed travel schedule and arrangements based on the traveler's input criteria.

[0009] "Generative means" refers to algorithms and software functions used to receive input conditions from travelers and create the optimal travel plan.

[0010] "Reservation services" refer to the function of arranging necessary transportation, accommodation, activities, etc., based on a travel plan.

[0011] "Means of real-time monitoring and response" refers to technologies and functions that allow for the immediate detection of changes in circumstances during travel and the taking of appropriate actions in response.

[0012] "Methods for collecting feedback and incorporating it into future travel plans" refers to a system that collects experiences and impressions from travelers, records them in a database, and uses them to improve and personalize future travel plans. [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] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14] This is a sequence diagram showing the processing flow of the data processing system in Application Example 2, which combines an emotion engine. [Modes for carrying out the invention]

[0014] Hereinafter, an example of an embodiment of the system relating to the technology of this disclosure will be described with reference to the attached 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, etc.

[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), etc.

[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 relates to a system that implements an AI agent to easily and effectively support users in planning their trips. The system is designed to solve various challenges users face when planning their trips, enabling them to smoothly prepare for, execute, and review their trips.

[0035] The entire system is realized through the interaction between the server, terminal, and user. The user uses the terminal interface to input their travel preferences, specifying basic travel details such as destination, dates, budget, and activities of interest.

[0036] Upon receiving input conditions from the user, the server uses its internal AI model to generate an optimal travel plan. The AI ​​model takes into account vast amounts of travel data and past feedback to create a plan tailored to the user's individual needs. The generated travel plan includes flight information, accommodations, restaurants, and suggestions for local activities.

[0037] Next, the server automatically makes flight and hotel reservations based on the travel plan. This includes confirming reservations once they are made and making any necessary adjustments to the plan. This entire process is centrally managed by a comprehensive reservation system.

[0038] During your trip, the server monitors various pieces of information in real time that could affect your itinerary—for example, flight delays or cancellations, sudden changes in local weather, etc. If any abnormal situation is detected, the server immediately readjusts the plan and notifies the user through their device.

[0039] Once the trip is over, users can enter feedback via their device. The server collects this feedback and updates its database, which is then used to generate future travel plans. This ensures that the service provided is continuously improved.

[0040] For example, if a user is planning a trip to Paris, they might enter activities such as "visiting art galleries" as their desired criteria. The server takes this into account and proposes a plan that satisfies the user's interests, including flights and hotels within their budget, as well as reservations for recommended museums and restaurants attached to galleries. Even if an unexpected flight cancellation occurs during the trip, the server will immediately arrange an alternative flight, ensuring the user can enjoy their trip with peace of mind.

[0041] In this way, the present invention provides fully supported travel assistance through basic user interaction.

[0042] The following describes the processing flow.

[0043] Step 1:

[0044] The user enters their travel preferences (e.g., destination, dates, budget, activities of interest, etc.) into the terminal interface. Once the user has finished entering the information, they press the "Submit" button to encode the information and send it to the server.

[0045] Step 2:

[0046] The server receives the user's requested conditions. The received data is formatted and decoded, and then input into an AI model for generating travel plans.

[0047] Step 3:

[0048] Based on the received data, an AI model on the server generates an optimal travel plan using a vast amount of historical data and trend information. The AI ​​model selects possible flights, accommodations, and activities that match the user's individual needs and interests.

[0049] Step 4:

[0050] The generated travel plan is passed from the server to a comprehensive booking system. This system checks the availability of flights and accommodations included in the travel plan and performs the process of making a provisional booking.

[0051] Step 5:

[0052] The server sends the generated travel plan and provisional booking information to the user's device. The user reviews this on the device screen and checks the details of the plan. If necessary, the user can request modifications to the plan.

[0053] Step 6:

[0054] The device sends user confirmation and modification requests to the server. The server incorporates the necessary changes and finally confirms the travel plan accepted by the user.

[0055] Step 7:

[0056] Based on the confirmed travel plan, the server completes the final booking process for flights, accommodations, and other services through a comprehensive booking system. Booking completion information is notified to the terminal and presented to the user as final confirmation.

[0057] Step 8:

[0058] During the trip, the server monitors various information in real time, such as flight status and weather. This information is used to make any necessary changes to the plan to ensure the user's trip runs smoothly.

[0059] Step 9:

[0060] The device instantly displays plan changes and important notifications to the user. The user can review the presented new plan and approve or make further adjustments as needed.

[0061] Step 10:

[0062] After the trip, users enter feedback via their device. This feedback is sent to the server and added to a database to optimize future travel plans.

[0063] (Example 1)

[0064] 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."

[0065] Traditional travel planning presented challenges, requiring travelers to spend considerable time and effort gathering information and making individual reservations. Furthermore, dealing with unexpected situations during travel was difficult and often stressful for travelers. Additionally, post-trip feedback was often not adequately incorporated into future travel planning.

[0066] 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.

[0067] In this invention, the server includes means for receiving input conditions from travelers via a terminal, means for generating a travel plan using a generation AI model based on the received input conditions, and means for automatically making reservations for various services based on the generated travel plan. This enables travelers to create efficient and individually optimized travel plans. Furthermore, it reduces the burden on travelers by quickly responding to changes in information during the trip and readjusting the plan. Post-trip feedback is also utilized for future trips, allowing for continuous service improvement.

[0068] The term "traveler" refers to an individual or group that plans and carries out a trip.

[0069] "Input conditions" refer to information such as destination, dates, budget, and activities of interest that travelers specify for their travel planning.

[0070] A "terminal" is an electronic device used by travelers to manipulate input conditions, and includes personal computers and smartphones.

[0071] A "server" refers to a central computer system that receives and processes input information from travelers.

[0072] A "generative AI model" refers to an artificial intelligence model used to analyze input conditions and create the optimal travel plan.

[0073] A "travel plan" refers to a detailed plan created by a generative AI model, including flight information, accommodations, and activity details related to a trip.

[0074] "Booking services" refers to the process of making reservations for necessary transportation, accommodation, and activities based on a travel plan.

[0075] "Feedback" refers to the evaluations and opinions about the travel experience provided by travelers after their trip, and is information that can be used to improve services in the future.

[0076] This invention is a system that allows users to efficiently plan their trips and enjoy them without stress. First, the user inputs their desired travel conditions using a terminal. These conditions include information such as destination, dates, budget, and activities of interest. This information is transmitted to the server through the terminal's interface.

[0077] Based on the information received from the user, the server activates an internally deployed generative AI model and begins analyzing the data. This generative AI model has learned from a vast amount of travel-related data and past user feedback, and automatically generates a travel plan that best suits the user's conditions. The generated travel plan includes flight information, accommodation, and activity suggestions, providing options tailored to the individual traveler's needs.

[0078] Furthermore, the server automatically makes reservations for related services based on the generated travel plan. Specifically, it checks the availability of flights and accommodations and manages the reservation process through a comprehensive reservation system. Once the actual reservation process is complete, the server notifies the user of the details via their terminal.

[0079] During your trip, the server constantly monitors the latest information in real time. When it receives information such as flight delays or cancellations, or changes in local weather, it quickly readjusts the user's travel plans to support them in continuing their trip with peace of mind. If a problem occurs, the server immediately generates a new plan and notifies the user via their device.

[0080] After the trip ends, users can input feedback about their experience through their device. The server collects this feedback and updates the database to improve the performance of the generated AI model, which can then be used to plan future trips.

[0081] For example, if a user enters the desired condition "I want to visit art galleries in Paris," the AI ​​model will suggest a plan that includes the best flights and accommodations within the budget, as well as reservations for recommended museums and restaurants attached to galleries. An example of a prompt would be, "The user is planning a trip to visit art galleries in Paris. Please suggest the best travel plan." In this way, users can easily plan and execute travel plans that suit their individual preferences.

[0082] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0083] Step 1:

[0084] Users input their travel preferences using a terminal. This includes information such as destination, dates, budget, and activities of interest. The terminal organizes this input and sends it to the server. The entered information becomes the basic data for the travel plan.

[0085] Step 2:

[0086] The server receives travel preferences sent from the terminal. Based on this, it activates a generative AI model and begins data analysis and planning. Specifically, it searches relevant travel databases based on the user's needs and generates the most suitable travel plan. The AI ​​model considers past feedback and trend data to provide the user with the best possible suggestions. The output is a travel plan that matches the user's conditions.

[0087] Step 3:

[0088] The server initiates the booking process for relevant services based on the generated travel plan. It checks the availability of available flights, accommodations, and activities through a comprehensive booking system and automatically proceeds with the booking process. Once the booking is confirmed, the details are notified to the terminal. This allows the user to efficiently complete the booking of the necessary travel elements.

[0089] Step 4:

[0090] During your trip, the server monitors relevant information in real time. It collects data on unexpected changes, such as flight delays or cancellations, and local weather changes, and readjusts your travel plan as needed. The adjusted plan is quickly notified to the user via their device. This allows users to continue their trip with peace of mind, even in the event of unforeseen circumstances.

[0091] Step 5:

[0092] After the trip, users enter feedback about their experience through their device. The server receives this feedback and updates the database to re-input it into the travel planning process. This feedback contributes to improving the quality of the generated AI model and forms the basis for improving the accuracy of future travel plans.

[0093] (Application Example 1)

[0094] 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."

[0095] During travel, it is difficult for travelers to obtain real-time information about the area they are visiting and to plan their activities effectively based on that information. Furthermore, there is a need to obtain real-time information about specific facilities in a region and to create travel plans that are tailored to the traveler's interests. Traditional systems require travelers to individually research information about specific spots or to go through separate procedures for visits, which presents inefficiencies in improving the travel experience.

[0096] 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.

[0097] In this invention, the server includes means for receiving input conditions from travelers, means for generating a travel plan based on the received input conditions, and means for providing information on facilities around physical stores and supporting visits to those facilities. This allows travelers to instantly obtain information about the area they are visiting and to execute and flexibly modify their travel plans.

[0098] A "traveler" is an individual who plans and carries out a trip, and is the entity that develops and manages the travel plan through the system.

[0099] "Input conditions" refer to the basic specifications that travelers specify, such as their destination, dates, budget, and activities of interest.

[0100] The "generation method" is a function that creates a travel plan based on input conditions, and is a process for generating an optimal plan that reflects the traveler's wishes.

[0101] The "booking method" refers to the function that arranges accommodation, transportation, and activities based on the generated travel plan.

[0102] "A means of monitoring and responding in real time" refers to a function that allows for immediate confirmation of changes in information that occur during travel and adjustment of plans according to the events that occur.

[0103] "Methods for collecting feedback and incorporating it into future travel plans" refers to the process of gathering travelers' opinions and impressions, analyzing them, and using that information to improve future travel plans.

[0104] "A means of providing information on facilities around physical stores and supporting visits to those facilities" refers to a function that provides travelers with detailed facility information about the area they are visiting in real time, and based on that, suggests the optimal visiting route and booking procedures.

[0105] This invention is an integrated travel support system that allows travelers to receive support at every stage of their travel planning. The system is operated through a traveler's device (such as a smartphone or smart glasses) and smoothly handles everything from generating travel plans and making reservations to real-time information updates and collecting post-trip feedback.

[0106] The server receives traveler input from the terminal and generates a travel plan using an internal generative AI model. The AI ​​model analyzes historical travel data and feedback to create an optimal plan tailored to the traveler's interests and needs. The generated plan incorporates choices for transportation, accommodation, and activities.

[0107] A key feature of this system is its ability to provide real-time information on facilities around physical stores, enabling users to receive explanations about their destinations and make reservations. Through map information APIs (e.g., Google® Maps API) and reservation management system APIs (e.g., OpenTable API), travelers can instantly access local information via their devices.

[0108] For example, if a user visits a city and wishes to see nearby cultural sites, the server will aggregate relevant information and present accessible facilities and their reservation status. This allows travelers to flexibly change their plans and enjoy a fulfilling travel experience.

[0109] An example of a prompt message would be: "Suggest interesting cultural activities in the vicinity of the city where the user is currently located, and provide a visitor plan. For each destination, also consider available booking methods." In this way, the system provides travelers with the best possible travel experience.

[0110] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0111] Step 1:

[0112] The device receives input information from travelers, such as destination, itinerary, budget, and activities of interest. This information is sent to the server in text format. Here, data tailored to the traveler's preferences is collected, including the user's current location.

[0113] Step 2:

[0114] The server generates travel plans using an AI model based on the received input conditions. The model analyzes past travel data and feedback to create travel plans based on the traveler's interests. This process includes selecting destination attractions, activities, and accommodations that fit the budget.

[0115] Step 3:

[0116] Based on the generated travel plan, the server sends a series of suggestions to the terminal. These suggestions include transportation, accommodation, and activities. The terminal displays this information to the user and asks for selection and confirmation. It also uses a map information API to display geographical information about related facilities.

[0117] Step 4:

[0118] Once the user reviews and selects a suggestion, the server automatically executes the necessary booking via the booking management system API. This involves searching for available booking slots for accommodations and activities, sending the information back to the user as needed, and notifying the user of the booking status on their device.

[0119] Step 5:

[0120] During travel, the server provides real-time information related to the user's current location via the device. This includes changes in flight status and facility opening hours. The generating AI model regenerates alternative plans in response to unexpected situations and presents them on the device. It also updates the reservation status of newly suggested destinations and notifies the user.

[0121] Step 6:

[0122] After the trip, the device collects feedback from the user and sends it to the server. The server analyzes this feedback and updates its database. The feedback data is used to generate future travel plans and contributes to improving the accuracy of the AI ​​model.

[0123] 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.

[0124] This invention incorporates an emotion engine into a travel planning system to provide a travel experience that takes into account the user's emotions. The system recognizes emotions from user input, uses that information to customize the travel plan, and dynamically adjusts the plan based on changes in emotions that occur during the trip.

[0125] This system is implemented through interaction between the server, terminal, and user. When the user enters their travel preferences through the terminal, voice and facial expression data is automatically collected. This data is passed to an emotion engine, which analyzes the user's emotional state.

[0126] Based on the analyzed emotional information, the server uses an AI model to generate a travel plan adapted to the user's emotions. For example, if the user desires relaxation, the server will suggest hotels specializing in relaxation or scenic tourist destinations, incorporating elements that match the user's mood and state into the plan. The server then executes the booking process based on the generated travel plan and displays the details on the terminal.

[0127] Throughout the trip, the emotion engine continuously monitors the user's emotional changes in real time, and if a change in the plan is necessary as the trip progresses, it notifies the server. Upon receiving the change request, the server immediately develops an alternative plan and presents it to the user. At this point, the user can review and accept the new proposal through their device.

[0128] After the trip ends, feedback is collected from the user via their device. This feedback includes emotional data recorded by the emotion engine, which the server uses to update its database. Future travel plans are further personalized and optimized using this feedback information.

[0129] For example, if a user desires a trip that combines sightseeing and relaxation in an urban area, the emotional engine can analyze their stress level and suggest quiet cafes or parks for breaks when relaxation is needed. This kind of consideration allows users to enjoy a more satisfying travel experience.

[0130] This invention aims to improve the quality of travel by providing proactive planning and support that takes user emotions into consideration.

[0131] The following describes the processing flow.

[0132] Step 1:

[0133] The user enters their travel preferences into the terminal's interface. In addition to the entered text information, the terminal simultaneously records the user's voice and facial expression data and sends it to the emotion engine.

[0134] Step 2:

[0135] The emotion engine, upon receiving data transmitted from the device, analyzes the user's emotional state using voice tone and facial expression analysis. The analysis results quantify the emotions the user is currently feeling, such as stress, excitement, and relief, and send them to the server.

[0136] Step 3:

[0137] The server receives the user's sentiment analysis results and uses them to generate a travel plan. Specifically, it uses an AI model to consider the user's preferences and emotional state to generate the optimal travel plan. At this stage, the suggested activities and accommodations are prioritized based on the user's emotional state.

[0138] Step 4:

[0139] The server generates a travel plan and provides it to the manual booking system, which then executes the booking of flights, accommodations, and other items included in the plan. Once the booking status is confirmed, the details are sent to the terminal.

[0140] Step 5:

[0141] The device displays the received travel plan to the user. The user can review it, accept it if satisfied, and request changes if necessary. This feedback is then sent back to the server, and the plan is adjusted as needed.

[0142] Step 6:

[0143] During the trip, the emotion engine continuously monitors the user's voice and facial expressions. If a new change in emotion is detected, that data is immediately sent to the server.

[0144] Step 7:

[0145] The server receives data on emotional changes and adjusts parts of the current travel plan accordingly. For example, if the emotional change is negative, it will cancel scheduled activities and immediately suggest alternatives more suited to relaxation.

[0146] Step 8:

[0147] The terminal presents the user with the new plan sent from the server and notifies them of the changes in real time. The user can approve or make additional requests through the terminal.

[0148] Step 9:

[0149] After the trip ends, users enter their feedback into their device. This feedback includes emotional data recorded during the trip, and the server uses this to update its database, preparing it for use in planning future trips.

[0150] (Example 2)

[0151] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0152] Conventional travel planning systems create travel plans based on static input conditions from travelers, making it difficult to flexibly respond to changes in travelers' emotions and circumstances. This resulted in a problem where travelers were not fully satisfied.

[0153] 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.

[0154] In this invention, the server includes means for analyzing input conditions based on the traveler's emotional state, means for generating a travel plan using the analyzed emotional state information, and means for monitoring changes in emotions during the trip in real time and adjusting the plan accordingly. This enables a travel experience that enhances traveler satisfaction by flexibly adjusting the travel plan according to the traveler's emotions.

[0155] A "traveler" refers to someone who plans a trip and actually takes it.

[0156] "Emotional state" refers to information that indicates a traveler's emotions and psychological condition, and is analyzed from data such as voice and facial expressions.

[0157] "Input conditions" refer to the preferences and requirements that travelers provide for planning their trip, including destination, dates, budget, and activities of interest.

[0158] "Generative means" refers to methods and techniques for creating travel plans based on analyzed emotional states and input conditions.

[0159] "Reservation methods" refer to the methods and mechanisms for making reservations for accommodations, transportation, sightseeing activities, etc., based on the generated travel plan.

[0160] "Plan adjustment" refers to modifying or optimizing an existing travel plan based on the traveler's emotional state during the trip.

[0161] "Feedback" refers to the impressions and evaluations received from travelers after their trip, and is useful information for improving future travel plans.

[0162] This invention is a system that dynamically provides travel plans adapted to the emotional state of travelers. First, the user inputs their travel preferences into a terminal. These preferences include destination, dates, budget, and activities of interest. The terminal is equipped with a voice input device and a camera to collect the user's voice and facial expression data, which is then transmitted to a server.

[0163] The server analyzes voice and facial expression data using an emotion engine. Specifically, it can use a voice recognition software called a "voice conversion API" and an image recognition software called a "facial expression analysis library." This allows the user's emotional state to be quantified and categorized.

[0164] Next, the server uses a generative AI model to generate a travel plan based on the analyzed emotional information. The generative AI model used is a "natural language generation model," which provides a plan tailored to the user's wishes and emotions. An example of a specific prompt would be, "If the user's emotional state indicates a desire for relaxation, generate a travel plan suitable for relaxation."

[0165] Based on the generated travel plan, the server presents the plan to the terminal, and the user confirms it. Once the user approves the plan, the server manages the booking process across the entire system and completes the reservations for accommodation, transportation, and activities.

[0166] During the trip, the device continues to monitor the user's emotional changes and sends that data to the server in real time. When the server detects a change, it generates a new plan and adjusts it as needed, ensuring the user always enjoys the optimal plan.

[0167] After the trip ends, user feedback is collected via the device. The server receives this feedback, updates the database, and uses it to generate future travel plans. This process ensures that a consistently customized travel experience is provided.

[0168] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0169] Step 1:

[0170] The user enters their travel preferences into the device. This information includes destination, dates, budget, and desired activities. The device simultaneously collects the user's voice and facial expression data and sends it to the server along with the entered text information. This is the input for data collection. The device uses data conversion technology to convert the raw data into an analyzable format. The output is an analyzable dataset.

[0171] Step 2:

[0172] The server receives audio and facial expression data sent from the terminal and performs analysis using an emotion engine. Audio data is converted to text by a speech recognition API, and facial expression data is converted into emotional states using a facial expression analysis library. The input is an analyzable dataset, and the output is a numerical or categorized representation of the user's emotional state. This process yields a detailed emotional profile based on the user's emotions.

[0173] Step 3:

[0174] The server generates a travel plan using a generative AI model based on the analyzed emotional profile and the user's preferences. This generative AI model employs natural language generation technology and accepts prompt sentences as input. For example, it might prompt, "If the user's emotional state indicates a desire for relaxation, generate a travel plan suitable for relaxation." Based on this prompt, it incorporates suitable tourist destinations and activities into the plan. The output is a customized travel plan.

[0175] Step 4:

[0176] The server sends the generated travel plan to the user's device. The user reviews and approves the travel plan using the device. The user can modify or select options from the plan through the user interface, allowing for further customization of the provided plan. The approved plan then becomes the input for the next step.

[0177] Step 5:

[0178] The server makes reservations based on approved plans. Using the reservation management system, all reservations for accommodation, transportation, and activities are processed in one place. This allows users to prepare for their trip through a consistent reservation system. The output is the completed reservation information.

[0179] Step 6:

[0180] The device continues to monitor the user's emotions throughout the trip and sends this information to the server via an emotion engine. If a change in emotions is detected, the server generates a new travel plan and adjusts it. The changed emotion data becomes the input, and the output is the adjusted travel plan. The user reviews this on the device and approves it again if necessary.

[0181] Step 7:

[0182] Once the trip is complete, the user provides feedback through their device. The server uses this feedback and emotion change data to update its database in order to improve future travel plans. The input to this process is the feedback data, and the output is the updated database information.

[0183] (Application Example 2)

[0184] 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".

[0185] Providing travel experiences that respond to the diverse emotions and interests of travelers is a challenge that traditional travel planning systems have not adequately addressed. It is necessary to achieve travel optimized for individual travelers through dynamic adjustments of plans to accommodate changes in emotions during the trip and comprehensive booking management. Furthermore, such systems should ideally incorporate traveler feedback to improve future travel experiences.

[0186] 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.

[0187] In this invention, the server includes means for receiving input conditions from the traveler, means for detecting and analyzing the traveler's emotions, and means for dynamically adjusting the travel plan based on the analyzed emotions. This makes it possible to provide an optimized travel experience based on the traveler's emotional state.

[0188] "Traveler input conditions" refer to information and requests regarding the traveler's desired trip, including input data such as budget, destination, and itinerary.

[0189] "Generating a travel plan" is the process of creating a plan that combines itinerary, accommodations, tourist destinations, and other elements based on the traveler's input criteria.

[0190] "Making various reservations" refers to the process of booking necessary items for your travel plan, such as transportation, accommodation, and sightseeing activities.

[0191] "Monitoring changes in information in real time" means continuously observing and recording changes in the environment, circumstances, and the state of the traveler during their trip.

[0192] "Detecting and analyzing travelers' emotions" is a process that uses data such as travelers' voice and facial expressions to determine the type and intensity of their emotions.

[0193] "Dynamically adjusting travel plans" refers to modifying and optimizing the initial travel plan in response to changes in the traveler's emotions and circumstances during the trip.

[0194] "Collecting feedback and incorporating it into future travel plans" means gathering traveler opinions and impressions after a trip as data and using it to improve future travel plans.

[0195] "Managing comprehensive bookings" means centrally controlling and managing the booking status of all elements related to travel, such as transportation, accommodation, and activities.

[0196] This invention is a system that provides a travel experience that takes into account the emotional state of travelers. Specific embodiments are described below.

[0197] The server receives traveler input conditions from the terminal and generates a travel plan based on them. The terminal collects voice and facial expression data when the traveler inputs their travel preferences. This data is analyzed through an emotion recognition engine to extract the traveler's emotional state. This analysis uses the OpenAI® emotion analysis API. The analysis results are input into a generative AI model that generates the travel plan, and the AI ​​proposes a plan that is adapted to the traveler's emotions.

[0198] Based on the travel plan, the server comprehensively manages booking procedures for transportation, accommodation, and activities. Furthermore, during the trip, the server monitors the traveler's emotional changes in real time via the terminal and dynamically adjusts the travel plan as needed. For example, if the traveler's tension increases, it can suggest a break at a quiet cafe.

[0199] After the trip ends, feedback from travelers is collected using a device. This includes emotional data recorded by an emotion recognition engine. The server then incorporates this feedback into a database, which can be used to improve the quality of future travel plans.

[0200] For example, if a user plans a trip for relaxation, the server will suggest a plan that includes a trip to a resort or a spa experience. Furthermore, if the user's interests change or new emotions are detected during the trip, the server can suggest new destinations or activities.

[0201] Examples of prompt messages include the following:

[0202] Input data: User's voice tone and facial expression data

[0203] Prompt: "Interpret the user's current emotional state and reflect it in their travel destination selection."

[0204] Expected output: "The user appears to have a high stress level. We recommend a travel plan that prioritizes relaxation."

[0205] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0206] Step 1:

[0207] The device receives travel preferences from the user as input. Simultaneously, it collects the user's voice and facial expression data using a microphone and camera. This collected voice and facial expression data is necessary for analyzing the user's emotional state.

[0208] Step 2:

[0209] The device passes the collected voice and facial expression data to an emotion recognition engine, which analyzes the user's emotional state. The emotion recognition engine uses the voice tone and facial expression changes as input data to perform emotion analysis to identify the user's emotions (e.g., stress, relaxation), and generates an emotional state as output.

[0210] Step 3:

[0211] The server receives the user's travel preferences transcribed from the terminal and their analyzed emotional state as input. This data is passed to a generating AI model, which then generates a travel plan adapted to the user's interests and emotions. The generated travel plan includes a specific itinerary, accommodations, and activities, and prompts are generated based on it.

[0212] Step 4:

[0213] The server manages and arranges reservations for transportation, accommodation, and activities based on the generated travel plan. This process involves data entry into the reservation system and output of reservation confirmation information. The outputted reservation information is then sent to the user for confirmation.

[0214] Step 5:

[0215] During travel, the device periodically collects the user's voice and facial expression data, monitoring emotional changes in real time. The collected data is sent to an emotion recognition engine for emotion analysis. The resulting information on changes in emotional state is then sent to a server.

[0216] Step 6:

[0217] The server receives the user's latest emotional state as input and dynamically adjusts the travel plan as needed. Generative AI models are used to adjust the plan, creating new prompts and suggesting alternative activities or destinations. This ensures that travelers enjoy an experience that matches their emotions.

[0218] Step 7:

[0219] After the trip ends, the device collects user feedback and emotional data recorded during the trip. This feedback data is sent to a server database and used to optimize future travel plans. The feedback may include words of gratitude and suggestions for improvement, which helps update the database.

[0220] 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.

[0221] 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.

[0222] 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.

[0223] [Second Embodiment]

[0224] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0225] 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.

[0226] 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).

[0227] 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.

[0228] 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.

[0229] 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).

[0230] 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.

[0231] 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.

[0232] 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.

[0233] 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.

[0234] 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.

[0235] 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".

[0236] This invention relates to a system that implements an AI agent to easily and effectively support users in planning their trips. The system is designed to solve various challenges users face when planning their trips, enabling them to smoothly prepare for, execute, and review their trips.

[0237] The entire system is realized through the interaction between the server, terminal, and user. The user uses the terminal interface to input their travel preferences, specifying basic travel details such as destination, dates, budget, and activities of interest.

[0238] Upon receiving input conditions from the user, the server uses its internal AI model to generate an optimal travel plan. The AI ​​model takes into account vast amounts of travel data and past feedback to create a plan tailored to the user's individual needs. The generated travel plan includes flight information, accommodations, restaurants, and suggestions for local activities.

[0239] Next, the server automatically makes flight and hotel reservations based on the travel plan. This includes confirming reservations once they are made and making any necessary adjustments to the plan. This entire process is centrally managed by a comprehensive reservation system.

[0240] During your trip, the server monitors various pieces of information in real time that could affect your itinerary—for example, flight delays or cancellations, sudden changes in local weather, etc. If any abnormal situation is detected, the server immediately readjusts the plan and notifies the user through their device.

[0241] Once the trip is over, users can enter feedback via their device. The server collects this feedback and updates its database, which is then used to generate future travel plans. This ensures that the service provided is continuously improved.

[0242] For example, if a user is planning a trip to Paris, they might enter activities such as "visiting art galleries" as their desired criteria. The server takes this into account and proposes a plan that satisfies the user's interests, including flights and hotels within their budget, as well as reservations for recommended museums and restaurants attached to galleries. Even if an unexpected flight cancellation occurs during the trip, the server will immediately arrange an alternative flight, ensuring the user can enjoy their trip with peace of mind.

[0243] In this way, the present invention provides fully supported travel assistance through basic user interaction.

[0244] The following describes the processing flow.

[0245] Step 1:

[0246] The user enters their travel preferences (e.g., destination, dates, budget, activities of interest, etc.) into the terminal interface. Once the user has finished entering the information, they press the "Submit" button to encode the information and send it to the server.

[0247] Step 2:

[0248] The server receives the user's requested conditions. The received data is formatted and decoded, and then input into an AI model for generating travel plans.

[0249] Step 3:

[0250] Based on the received data, an AI model on the server generates an optimal travel plan using a vast amount of historical data and trend information. The AI ​​model selects possible flights, accommodations, and activities that match the user's individual needs and interests.

[0251] Step 4:

[0252] The generated travel plan is passed from the server to a comprehensive booking system. This system checks the availability of flights and accommodations included in the travel plan and performs the process of making a provisional booking.

[0253] Step 5:

[0254] The server sends the generated travel plan and provisional booking information to the user's device. The user reviews this on the device screen and checks the details of the plan. If necessary, the user can request modifications to the plan.

[0255] Step 6:

[0256] The device sends user confirmation and modification requests to the server. The server incorporates the necessary changes and finally confirms the travel plan accepted by the user.

[0257] Step 7:

[0258] Based on the confirmed travel plan, the server completes the final booking process for flights, accommodations, and other services through a comprehensive booking system. Booking completion information is notified to the terminal and presented to the user as final confirmation.

[0259] Step 8:

[0260] During the trip, the server monitors various information in real time, such as flight status and weather. This information is used to make any necessary changes to the plan to ensure the user's trip runs smoothly.

[0261] Step 9:

[0262] The device instantly displays plan changes and important notifications to the user. The user can review the presented new plan and approve or make further adjustments as needed.

[0263] Step 10:

[0264] After the trip, users enter feedback via their device. This feedback is sent to the server and added to a database to optimize future travel plans.

[0265] (Example 1)

[0266] 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."

[0267] Traditional travel planning presented challenges, requiring travelers to spend considerable time and effort gathering information and making individual reservations. Furthermore, dealing with unexpected situations during travel was difficult and often stressful for travelers. Additionally, post-trip feedback was often not adequately incorporated into future travel planning.

[0268] 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.

[0269] In this invention, the server includes means for receiving input conditions from travelers via a terminal, means for generating a travel plan using a generation AI model based on the received input conditions, and means for automatically making reservations for various services based on the generated travel plan. This enables travelers to create efficient and individually optimized travel plans. Furthermore, it reduces the burden on travelers by quickly responding to changes in information during the trip and readjusting the plan. Post-trip feedback is also utilized for future trips, allowing for continuous service improvement.

[0270] The term "traveler" refers to an individual or group that plans and carries out a trip.

[0271] "Input conditions" refer to information such as destination, dates, budget, and activities of interest that travelers specify for their travel planning.

[0272] A "terminal" is an electronic device used by travelers to manipulate input conditions, and includes personal computers and smartphones.

[0273] A "server" refers to a central computer system that receives and processes input information from travelers.

[0274] A "generative AI model" refers to an artificial intelligence model used to analyze input conditions and create the optimal travel plan.

[0275] A "travel plan" refers to a detailed plan created by a generative AI model, including flight information, accommodations, and activity details related to a trip.

[0276] "Booking services" refers to the process of making reservations for necessary transportation, accommodation, and activities based on a travel plan.

[0277] "Feedback" refers to the evaluations and opinions about the travel experience provided by travelers after their trip, and is information that can be used to improve services in the future.

[0278] This invention is a system that allows users to efficiently plan their trips and enjoy them without stress. First, the user inputs their desired travel conditions using a terminal. These conditions include information such as destination, dates, budget, and activities of interest. This information is transmitted to the server through the terminal's interface.

[0279] Based on the information received from the user, the server activates an internally deployed generative AI model and begins analyzing the data. This generative AI model has learned from a vast amount of travel-related data and past user feedback, and automatically generates a travel plan that best suits the user's conditions. The generated travel plan includes flight information, accommodation, and activity suggestions, providing options tailored to the individual traveler's needs.

[0280] Furthermore, the server automatically makes reservations for related services based on the generated travel plan. Specifically, it checks the availability of flights and accommodations and manages the reservation process through a comprehensive reservation system. Once the actual reservation process is complete, the server notifies the user of the details via their terminal.

[0281] During the trip, the server constantly monitors the latest information in real time. When receiving information such as flight delays or cancellations, and local weather changes, it quickly readjusts the user's travel plan and supports the user to continue the trip with confidence. If a problem occurs, the server immediately generates a new plan and notifies the user via the terminal.

[0282] After the trip is over, the user can input feedback on the experience through the terminal. The server collects this feedback and updates the database to improve the performance of the generated AI model and utilize it for future travel plans.

[0283] For example, when the user inputs a desired condition such as "want to visit art galleries in Paris", the generated AI model proposes a plan that includes the optimal flight and accommodation within the budget, as well as reservations for recommended restaurants in art museums and galleries. An example of the prompt text is like "The user is planning a trip to visit art galleries in Paris. Please propose an optimal travel plan." In this way, the user can easily formulate and execute a travel plan according to their individual wishes.

[0284] The flow of the specific process in Example 1 will be described using FIG. 11.

[0285] Step 1:

[0286] The user inputs the desired conditions for the trip using the terminal. This includes information such as the destination, schedule, budget, and activities of interest. The terminal organizes these inputs and sends them to the server. The input information becomes the basic data for the travel plan.

[0287] Step 2:

[0288] The server receives travel preferences sent from the terminal. Based on this, it activates a generative AI model and begins data analysis and planning. Specifically, it searches relevant travel databases based on the user's needs and generates the most suitable travel plan. The AI ​​model considers past feedback and trend data to provide the user with the best possible suggestions. The output is a travel plan that matches the user's conditions.

[0289] Step 3:

[0290] The server initiates the booking process for relevant services based on the generated travel plan. It checks the availability of available flights, accommodations, and activities through a comprehensive booking system and automatically proceeds with the booking process. Once the booking is confirmed, the details are notified to the terminal. This allows the user to efficiently complete the booking of the necessary travel elements.

[0291] Step 4:

[0292] During your trip, the server monitors relevant information in real time. It collects data on unexpected changes, such as flight delays or cancellations, and local weather changes, and readjusts your travel plan as needed. The adjusted plan is quickly notified to the user via their device. This allows users to continue their trip with peace of mind, even in the event of unforeseen circumstances.

[0293] Step 5:

[0294] After the trip, users enter feedback about their experience through their device. The server receives this feedback and updates the database to re-input it into the travel planning process. This feedback contributes to improving the quality of the generated AI model and forms the basis for improving the accuracy of future travel plans.

[0295] (Application Example 1)

[0296] 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."

[0297] During travel, it is difficult for travelers to obtain real-time information about the area they are visiting and to plan their activities effectively based on that information. Furthermore, there is a need to obtain real-time information about specific facilities in a region and to create travel plans that are tailored to the traveler's interests. Traditional systems require travelers to individually research information about specific spots or to go through separate procedures for visits, which presents inefficiencies in improving the travel experience.

[0298] 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.

[0299] In this invention, the server includes means for receiving input conditions from travelers, means for generating a travel plan based on the received input conditions, and means for providing information on facilities around physical stores and supporting visits to those facilities. This allows travelers to instantly obtain information about the area they are visiting and to execute and flexibly modify their travel plans.

[0300] A "traveler" is an individual who plans and carries out a trip, and is the entity that develops and manages the travel plan through the system.

[0301] "Input conditions" refer to the basic specifications that travelers specify, such as their destination, dates, budget, and activities of interest.

[0302] The "generation method" is a function that creates a travel plan based on input conditions, and is a process for generating an optimal plan that reflects the traveler's wishes.

[0303] The "booking method" refers to the function that arranges accommodation, transportation, and activities based on the generated travel plan.

[0304] The "means for real-time monitoring and corresponding thereto" is a function for immediately checking changes in information occurring during travel and adjusting the plan according to the events that have occurred.

[0305] The "means for collecting feedback and reflecting it in the next travel plan" is a process of collecting the opinions and feelings of travelers, analyzing them, and utilizing them for the improvement of future travel plans.

[0306] The "means for providing facility information around a physical store and assisting access to the facility" is a function for providing detailed facility information about the area where the traveler is visiting in real time and proposing an optimal access route and reservation procedure based on it.

[0307] The present invention is an integrated travel support system in which a traveler can be supported at all stages of the plan. This system is operated through a terminal (such as a smartphone or smart glasses) that the traveler has, and smoothly implements from the generation of a travel plan to reservation, real-time information update, and collection of feedback after the travel.

[0308] The server receives the input conditions of the traveler transmitted from the terminal and generates a travel plan using an internal generation AI model. The AI model analyzes by combining past travel data and feedback, and creates an optimal plan that suits the interests and needs of the traveler. The generated plan incorporates selections of means of transportation, accommodation facilities, and activities.

[0309] As a feature of this system, providing facility information around a physical store in real time and enabling explanations of the visited place and reservation procedures can be mentioned. Through a map information API (e.g., Google Maps API) and a reservation management system API (e.g., OpenTable API), the traveler can immediately grasp local information through the terminal.

[0310] For example, if a user visits a city and wishes to see nearby cultural sites, the server will aggregate relevant information and present accessible facilities and their reservation status. This allows travelers to flexibly change their plans and enjoy a fulfilling travel experience.

[0311] An example of a prompt message would be: "Suggest interesting cultural activities in the vicinity of the city where the user is currently located, and provide a visitor plan. For each destination, also consider available booking methods." In this way, the system provides travelers with the best possible travel experience.

[0312] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0313] Step 1:

[0314] The device receives input information from travelers, such as destination, itinerary, budget, and activities of interest. This information is sent to the server in text format. Here, data tailored to the traveler's preferences is collected, including the user's current location.

[0315] Step 2:

[0316] The server generates travel plans using an AI model based on the received input conditions. The model analyzes past travel data and feedback to create travel plans based on the traveler's interests. This process includes selecting destination attractions, activities, and accommodations that fit the budget.

[0317] Step 3:

[0318] Based on the generated travel plan, the server sends a series of suggestions to the terminal. These suggestions include transportation, accommodation, and activities. The terminal displays this information to the user and asks for selection and confirmation. It also uses a map information API to display geographical information about related facilities.

[0319] Step 4:

[0320] Once the user reviews and selects a suggestion, the server automatically executes the necessary booking via the booking management system API. This involves searching for available booking slots for accommodations and activities, sending the information back to the user as needed, and notifying the user of the booking status on their device.

[0321] Step 5:

[0322] During travel, the server provides real-time information related to the user's current location via the device. This includes changes in flight status and facility opening hours. The generating AI model regenerates alternative plans in response to unexpected situations and presents them on the device. It also updates the reservation status of newly suggested destinations and notifies the user.

[0323] Step 6:

[0324] After the trip, the device collects feedback from the user and sends it to the server. The server analyzes this feedback and updates its database. The feedback data is used to generate future travel plans and contributes to improving the accuracy of the AI ​​model.

[0325] 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.

[0326] This invention incorporates an emotion engine into a travel planning system to provide a travel experience that takes into account the user's emotions. The system recognizes emotions from user input, uses that information to customize the travel plan, and dynamically adjusts the plan based on changes in emotions that occur during the trip.

[0327] This system is implemented through interaction between the server, terminal, and user. When the user enters their travel preferences through the terminal, voice and facial expression data is automatically collected. This data is passed to an emotion engine, which analyzes the user's emotional state.

[0328] Based on the analyzed emotional information, the server uses an AI model to generate a travel plan adapted to the user's emotions. For example, if the user desires relaxation, the server will suggest hotels specializing in relaxation or scenic tourist destinations, incorporating elements that match the user's mood and state into the plan. The server then executes the booking process based on the generated travel plan and displays the details on the terminal.

[0329] Throughout the trip, the emotion engine continuously monitors the user's emotional changes in real time, and if a change in the plan is necessary as the trip progresses, it notifies the server. Upon receiving the change request, the server immediately develops an alternative plan and presents it to the user. At this point, the user can review and accept the new proposal through their device.

[0330] After the trip ends, feedback is collected from the user via their device. This feedback includes emotional data recorded by the emotion engine, which the server uses to update its database. Future travel plans are further personalized and optimized using this feedback information.

[0331] For example, if a user desires a trip that combines sightseeing and relaxation in an urban area, the emotional engine can analyze their stress level and suggest quiet cafes or parks for breaks when relaxation is needed. This kind of consideration allows users to enjoy a more satisfying travel experience.

[0332] This invention aims to improve the quality of travel by providing proactive planning and support that takes user emotions into consideration.

[0333] The following describes the processing flow.

[0334] Step 1:

[0335] The user enters their travel preferences into the terminal's interface. In addition to the entered text information, the terminal simultaneously records the user's voice and facial expression data and sends it to the emotion engine.

[0336] Step 2:

[0337] The emotion engine, upon receiving data transmitted from the device, analyzes the user's emotional state using voice tone and facial expression analysis. The analysis results quantify the emotions the user is currently feeling, such as stress, excitement, and relief, and send them to the server.

[0338] Step 3:

[0339] The server receives the user's sentiment analysis results and uses them to generate a travel plan. Specifically, it uses an AI model to consider the user's preferences and emotional state to generate the optimal travel plan. At this stage, the suggested activities and accommodations are prioritized based on the user's emotional state.

[0340] Step 4:

[0341] The server generates a travel plan and provides it to the manual booking system, which then executes the booking of flights, accommodations, and other items included in the plan. Once the booking status is confirmed, the details are sent to the terminal.

[0342] Step 5:

[0343] The device displays the received travel plan to the user. The user can review it, accept it if satisfied, and request changes if necessary. This feedback is then sent back to the server, and the plan is adjusted as needed.

[0344] Step 6:

[0345] During the trip, the emotion engine continuously monitors the user's voice and facial expressions. If a new change in emotion is detected, that data is immediately sent to the server.

[0346] Step 7:

[0347] The server receives data on emotional changes and adjusts parts of the current travel plan accordingly. For example, if the emotional change is negative, it will cancel scheduled activities and immediately suggest alternatives more suited to relaxation.

[0348] Step 8:

[0349] The terminal presents the user with the new plan sent from the server and notifies them of the changes in real time. The user can approve or make additional requests through the terminal.

[0350] Step 9:

[0351] After the trip ends, users enter their feedback into their device. This feedback includes emotional data recorded during the trip, and the server uses this to update its database, preparing it for use in planning future trips.

[0352] (Example 2)

[0353] 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".

[0354] Conventional travel planning systems create travel plans based on static input conditions from travelers, making it difficult to flexibly respond to changes in travelers' emotions and circumstances. This resulted in a problem where travelers were not fully satisfied.

[0355] 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.

[0356] In this invention, the server includes means for analyzing input conditions based on the traveler's emotional state, means for generating a travel plan using the analyzed emotional state information, and means for monitoring changes in emotions during the trip in real time and adjusting the plan accordingly. This enables a travel experience that enhances traveler satisfaction by flexibly adjusting the travel plan according to the traveler's emotions.

[0357] A "traveler" refers to someone who plans a trip and actually takes it.

[0358] "Emotional state" refers to information that indicates a traveler's emotions and psychological condition, and is analyzed from data such as voice and facial expressions.

[0359] "Input conditions" refer to the preferences and requirements that travelers provide for planning their trip, including destination, dates, budget, and activities of interest.

[0360] "Generative means" refers to methods and techniques for creating travel plans based on analyzed emotional states and input conditions.

[0361] "Reservation methods" refer to the methods and mechanisms for making reservations for accommodations, transportation, sightseeing activities, etc., based on the generated travel plan.

[0362] "Plan adjustment" refers to modifying or optimizing an existing travel plan based on the traveler's emotional state during the trip.

[0363] "Feedback" refers to the impressions and evaluations received from travelers after their trip, and is useful information for improving future travel plans.

[0364] This invention is a system that dynamically provides travel plans adapted to the emotional state of travelers. First, the user inputs their travel preferences into a terminal. These preferences include destination, dates, budget, and activities of interest. The terminal is equipped with a voice input device and a camera to collect the user's voice and facial expression data, which is then transmitted to a server.

[0365] The server analyzes voice and facial expression data using an emotion engine. Specifically, it can use a voice recognition software called a "voice conversion API" and an image recognition software called a "facial expression analysis library." This allows the user's emotional state to be quantified and categorized.

[0366] Next, the server uses a generative AI model to generate a travel plan based on the analyzed emotional information. The generative AI model used is a "natural language generation model," which provides a plan tailored to the user's wishes and emotions. An example of a specific prompt would be, "If the user's emotional state indicates a desire for relaxation, generate a travel plan suitable for relaxation."

[0367] Based on the generated travel plan, the server presents the plan to the terminal, and the user confirms it. Once the user approves the plan, the server manages the booking process across the entire system and completes the reservations for accommodation, transportation, and activities.

[0368] During the trip, the device continues to monitor the user's emotional changes and sends that data to the server in real time. When the server detects a change, it generates a new plan and adjusts it as needed, ensuring the user always enjoys the optimal plan.

[0369] After the trip ends, user feedback is collected via the device. The server receives this feedback, updates the database, and uses it to generate future travel plans. This process ensures that a consistently customized travel experience is provided.

[0370] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0371] Step 1:

[0372] The user enters their travel preferences into the device. This information includes destination, dates, budget, and desired activities. The device simultaneously collects the user's voice and facial expression data and sends it to the server along with the entered text information. This is the input for data collection. The device uses data conversion technology to convert the raw data into an analyzable format. The output is an analyzable dataset.

[0373] Step 2:

[0374] The server receives audio and facial expression data sent from the terminal and performs analysis using an emotion engine. Audio data is converted to text by a speech recognition API, and facial expression data is converted into emotional states using a facial expression analysis library. The input is an analyzable dataset, and the output is a numerical or categorized representation of the user's emotional state. This process yields a detailed emotional profile based on the user's emotions.

[0375] Step 3:

[0376] The server generates a travel plan using a generative AI model based on the analyzed emotional profile and the user's preferences. This generative AI model employs natural language generation technology and accepts prompt sentences as input. For example, it might prompt, "If the user's emotional state indicates a desire for relaxation, generate a travel plan suitable for relaxation." Based on this prompt, it incorporates suitable tourist destinations and activities into the plan. The output is a customized travel plan.

[0377] Step 4:

[0378] The server sends the generated travel plan to the user's device. The user reviews and approves the travel plan using the device. The user can modify or select options from the plan through the user interface, allowing for further customization of the provided plan. The approved plan then becomes the input for the next step.

[0379] Step 5:

[0380] The server makes reservations based on approved plans. Using the reservation management system, all reservations for accommodation, transportation, and activities are processed in one place. This allows users to prepare for their trip through a consistent reservation system. The output is the completed reservation information.

[0381] Step 6:

[0382] The device continues to monitor the user's emotions throughout the trip and sends this information to the server via an emotion engine. If a change in emotions is detected, the server generates a new travel plan and adjusts it. The changed emotion data becomes the input, and the output is the adjusted travel plan. The user reviews this on the device and approves it again if necessary.

[0383] Step 7:

[0384] Once the trip is complete, the user provides feedback through their device. The server uses this feedback and emotion change data to update its database in order to improve future travel plans. The input to this process is the feedback data, and the output is the updated database information.

[0385] (Application Example 2)

[0386] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the smart glasses 214 as the "terminal".

[0387] Providing travel experiences that respond to the diverse emotions and interests of travelers is a challenge that traditional travel planning systems have not adequately addressed. It is necessary to achieve travel optimized for individual travelers through dynamic adjustments of plans to accommodate changes in emotions during the trip and comprehensive booking management. Furthermore, such systems should ideally incorporate traveler feedback to improve future travel experiences.

[0388] 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.

[0389] In this invention, the server includes means for receiving input conditions from the traveler, means for detecting and analyzing the traveler's emotions, and means for dynamically adjusting the travel plan based on the analyzed emotions. This makes it possible to provide an optimized travel experience based on the traveler's emotional state.

[0390] "Traveler input conditions" refer to information and requests regarding the traveler's desired trip, including input data such as budget, destination, and itinerary.

[0391] "Generating a travel plan" is the process of creating a plan that combines itinerary, accommodations, tourist destinations, and other elements based on the traveler's input criteria.

[0392] "Making various reservations" refers to the process of booking necessary items for your travel plan, such as transportation, accommodation, and sightseeing activities.

[0393] "Monitoring changes in information in real time" means continuously observing and recording changes in the environment, circumstances, and the state of the traveler during their trip.

[0394] "Detecting and analyzing travelers' emotions" is a process that uses data such as travelers' voice and facial expressions to determine the type and intensity of their emotions.

[0395] "Dynamically adjusting travel plans" refers to modifying and optimizing the initial travel plan in response to changes in the traveler's emotions and circumstances during the trip.

[0396] "Collecting feedback and incorporating it into future travel plans" means gathering traveler opinions and impressions after a trip as data and using it to improve future travel plans.

[0397] "Managing comprehensive bookings" means centrally controlling and managing the booking status of all elements related to travel, such as transportation, accommodation, and activities.

[0398] This invention is a system that provides a travel experience that takes into account the emotional state of travelers. Specific embodiments are described below.

[0399] The server receives input conditions from the traveler's terminal and generates a travel plan based on them. The terminal collects voice and facial expression data when the traveler enters their travel preferences. This data is analyzed through an emotion recognition engine to extract the traveler's emotional state. OpenAI's emotion analysis API is used for this analysis. The analysis results are input into a generative AI model that generates the travel plan, and the AI ​​proposes a plan that is adapted to the traveler's emotions.

[0400] Based on the travel plan, the server comprehensively manages booking procedures for transportation, accommodation, and activities. Furthermore, during the trip, the server monitors the traveler's emotional changes in real time via the terminal and dynamically adjusts the travel plan as needed. For example, if the traveler's tension increases, it can suggest a break at a quiet cafe.

[0401] After the trip ends, feedback from travelers is collected using a device. This includes emotional data recorded by an emotion recognition engine. The server then incorporates this feedback into a database, which can be used to improve the quality of future travel plans.

[0402] For example, if a user plans a trip for relaxation, the server will suggest a plan that includes a trip to a resort or a spa experience. Furthermore, if the user's interests change or new emotions are detected during the trip, the server can suggest new destinations or activities.

[0403] Examples of prompt messages include the following:

[0404] Input data: User's voice tone and facial expression data

[0405] Prompt: "Interpret the user's current emotional state and reflect it in their travel destination selection."

[0406] Expected output: "The user appears to have a high stress level. We recommend a travel plan that prioritizes relaxation."

[0407] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0408] Step 1:

[0409] The device receives travel preferences from the user as input. Simultaneously, it collects the user's voice and facial expression data using a microphone and camera. This collected voice and facial expression data is necessary for analyzing the user's emotional state.

[0410] Step 2:

[0411] The device passes the collected voice and facial expression data to an emotion recognition engine, which analyzes the user's emotional state. The emotion recognition engine uses the voice tone and facial expression changes as input data to perform emotion analysis to identify the user's emotions (e.g., stress, relaxation), and generates an emotional state as output.

[0412] Step 3:

[0413] The server receives the user's travel preferences transcribed from the terminal and their analyzed emotional state as input. This data is passed to a generating AI model, which then generates a travel plan adapted to the user's interests and emotions. The generated travel plan includes a specific itinerary, accommodations, and activities, and prompts are generated based on it.

[0414] Step 4:

[0415] The server manages and arranges reservations for transportation, accommodation, and activities based on the generated travel plan. This process involves data entry into the reservation system and output of reservation confirmation information. The outputted reservation information is then sent to the user for confirmation.

[0416] Step 5:

[0417] During travel, the device periodically collects the user's voice and facial expression data, monitoring emotional changes in real time. The collected data is sent to an emotion recognition engine for emotion analysis. The resulting information on changes in emotional state is then sent to a server.

[0418] Step 6:

[0419] The server receives the user's latest emotional state as input and dynamically adjusts the travel plan as needed. Generative AI models are used to adjust the plan, creating new prompts and suggesting alternative activities or destinations. This ensures that travelers enjoy an experience that matches their emotions.

[0420] Step 7:

[0421] After the trip ends, the device collects user feedback and emotional data recorded during the trip. This feedback data is sent to a server database and used to optimize future travel plans. The feedback may include words of gratitude and suggestions for improvement, which helps update the database.

[0422] 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.

[0423] 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.

[0424] 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.

[0425] [Third Embodiment]

[0426] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0427] 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.

[0428] 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).

[0429] 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.

[0430] 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.

[0431] 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).

[0432] 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.

[0433] 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.

[0434] 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.

[0435] 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.

[0436] 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.

[0437] 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".

[0438] This invention relates to a system that implements an AI agent to easily and effectively support users in planning their trips. The system is designed to solve various challenges users face when planning their trips, enabling them to smoothly prepare for, execute, and review their trips.

[0439] The entire system is realized through the interaction between the server, terminal, and user. The user uses the terminal interface to input their travel preferences, specifying basic travel details such as destination, dates, budget, and activities of interest.

[0440] Upon receiving input conditions from the user, the server uses its internal AI model to generate an optimal travel plan. The AI ​​model takes into account vast amounts of travel data and past feedback to create a plan tailored to the user's individual needs. The generated travel plan includes flight information, accommodations, restaurants, and suggestions for local activities.

[0441] Next, the server automatically makes flight and hotel reservations based on the travel plan. This includes confirming reservations once they are made and making any necessary adjustments to the plan. This entire process is centrally managed by a comprehensive reservation system.

[0442] During your trip, the server monitors various pieces of information in real time that could affect your itinerary—for example, flight delays or cancellations, sudden changes in local weather, etc. If any abnormal situation is detected, the server immediately readjusts the plan and notifies the user through their device.

[0443] Once the trip is over, users can enter feedback via their device. The server collects this feedback and updates its database, which is then used to generate future travel plans. This ensures that the service provided is continuously improved.

[0444] For example, if a user is planning a trip to Paris, they might enter activities such as "visiting art galleries" as their desired criteria. The server takes this into account and proposes a plan that satisfies the user's interests, including flights and hotels within their budget, as well as reservations for recommended museums and restaurants attached to galleries. Even if an unexpected flight cancellation occurs during the trip, the server will immediately arrange an alternative flight, ensuring the user can enjoy their trip with peace of mind.

[0445] In this way, the present invention provides fully supported travel assistance through basic user interaction.

[0446] The following describes the processing flow.

[0447] Step 1:

[0448] The user enters their travel preferences (e.g., destination, dates, budget, activities of interest, etc.) into the terminal interface. Once the user has finished entering the information, they press the "Submit" button to encode the information and send it to the server.

[0449] Step 2:

[0450] The server receives the user's requested conditions. The received data is formatted and decoded, and then input into an AI model for generating travel plans.

[0451] Step 3:

[0452] Based on the received data, an AI model on the server generates an optimal travel plan using a vast amount of historical data and trend information. The AI ​​model selects possible flights, accommodations, and activities that match the user's individual needs and interests.

[0453] Step 4:

[0454] The generated travel plan is passed from the server to a comprehensive booking system. This system checks the availability of flights and accommodations included in the travel plan and performs the process of making a provisional booking.

[0455] Step 5:

[0456] The server sends the generated travel plan and provisional booking information to the user's device. The user reviews this on the device screen and checks the details of the plan. If necessary, the user can request modifications to the plan.

[0457] Step 6:

[0458] The device sends user confirmation and modification requests to the server. The server incorporates the necessary changes and finally confirms the travel plan accepted by the user.

[0459] Step 7:

[0460] Based on the confirmed travel plan, the server completes the final booking process for flights, accommodations, and other services through a comprehensive booking system. Booking completion information is notified to the terminal and presented to the user as final confirmation.

[0461] Step 8:

[0462] During the trip, the server monitors various information in real time, such as flight status and weather. This information is used to make any necessary changes to the plan to ensure the user's trip runs smoothly.

[0463] Step 9:

[0464] The device instantly displays plan changes and important notifications to the user. The user can review the presented new plan and approve or make further adjustments as needed.

[0465] Step 10:

[0466] After the trip, users enter feedback via their device. This feedback is sent to the server and added to a database to optimize future travel plans.

[0467] (Example 1)

[0468] 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."

[0469] Traditional travel planning presented challenges, requiring travelers to spend considerable time and effort gathering information and making individual reservations. Furthermore, dealing with unexpected situations during travel was difficult and often stressful for travelers. Additionally, post-trip feedback was often not adequately incorporated into future travel planning.

[0470] 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.

[0471] In this invention, the server includes means for receiving input conditions from travelers via a terminal, means for generating a travel plan using a generation AI model based on the received input conditions, and means for automatically making reservations for various services based on the generated travel plan. This enables travelers to create efficient and individually optimized travel plans. Furthermore, it reduces the burden on travelers by quickly responding to changes in information during the trip and readjusting the plan. Post-trip feedback is also utilized for future trips, allowing for continuous service improvement.

[0472] The term "traveler" refers to an individual or group that plans and carries out a trip.

[0473] "Input conditions" refer to information such as destination, dates, budget, and activities of interest that travelers specify for their travel planning.

[0474] A "terminal" is an electronic device used by travelers to manipulate input conditions, and includes personal computers and smartphones.

[0475] A "server" refers to a central computer system that receives and processes input information from travelers.

[0476] A "generative AI model" refers to an artificial intelligence model used to analyze input conditions and create the optimal travel plan.

[0477] A "travel plan" refers to a detailed plan created by a generative AI model, including flight information, accommodations, and activity details related to a trip.

[0478] "Booking services" refers to the process of making reservations for necessary transportation, accommodation, and activities based on a travel plan.

[0479] "Feedback" refers to the evaluations and opinions about the travel experience provided by travelers after their trip, and is information that can be used to improve services in the future.

[0480] This invention is a system that allows users to efficiently plan their trips and enjoy them without stress. First, the user inputs their desired travel conditions using a terminal. These conditions include information such as destination, dates, budget, and activities of interest. This information is transmitted to the server through the terminal's interface.

[0481] Based on the information received from the user, the server activates an internally deployed generative AI model and begins analyzing the data. This generative AI model has learned from a vast amount of travel-related data and past user feedback, and automatically generates a travel plan that best suits the user's conditions. The generated travel plan includes flight information, accommodation, and activity suggestions, providing options tailored to the individual traveler's needs.

[0482] Furthermore, the server automatically makes reservations for related services based on the generated travel plan. Specifically, it checks the availability of flights and accommodations and manages the reservation process through a comprehensive reservation system. Once the actual reservation process is complete, the server notifies the user of the details via their terminal.

[0483] During your trip, the server constantly monitors the latest information in real time. When it receives information such as flight delays or cancellations, or changes in local weather, it quickly readjusts the user's travel plans to support them in continuing their trip with peace of mind. If a problem occurs, the server immediately generates a new plan and notifies the user via their device.

[0484] After the trip ends, users can input feedback about their experience through their device. The server collects this feedback and updates the database to improve the performance of the generated AI model, which can then be used to plan future trips.

[0485] For example, if a user enters the desired condition "I want to visit art galleries in Paris," the AI ​​model will suggest a plan that includes the best flights and accommodations within the budget, as well as reservations for recommended museums and restaurants attached to galleries. An example of a prompt would be, "The user is planning a trip to visit art galleries in Paris. Please suggest the best travel plan." In this way, users can easily plan and execute travel plans that suit their individual preferences.

[0486] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0487] Step 1:

[0488] Users input their travel preferences using a terminal. This includes information such as destination, dates, budget, and activities of interest. The terminal organizes this input and sends it to the server. The entered information becomes the basic data for the travel plan.

[0489] Step 2:

[0490] The server receives travel preferences sent from the terminal. Based on this, it activates a generative AI model and begins data analysis and planning. Specifically, it searches relevant travel databases based on the user's needs and generates the most suitable travel plan. The AI ​​model considers past feedback and trend data to provide the user with the best possible suggestions. The output is a travel plan that matches the user's conditions.

[0491] Step 3:

[0492] The server initiates the booking process for relevant services based on the generated travel plan. It checks the availability of available flights, accommodations, and activities through a comprehensive booking system and automatically proceeds with the booking process. Once the booking is confirmed, the details are notified to the terminal. This allows the user to efficiently complete the booking of the necessary travel elements.

[0493] Step 4:

[0494] During your trip, the server monitors relevant information in real time. It collects data on unexpected changes, such as flight delays or cancellations, and local weather changes, and readjusts your travel plan as needed. The adjusted plan is quickly notified to the user via their device. This allows users to continue their trip with peace of mind, even in the event of unforeseen circumstances.

[0495] Step 5:

[0496] After the trip, users enter feedback about their experience through their device. The server receives this feedback and updates the database to re-input it into the travel planning process. This feedback contributes to improving the quality of the generated AI model and forms the basis for improving the accuracy of future travel plans.

[0497] (Application Example 1)

[0498] 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."

[0499] During travel, it is difficult for travelers to obtain real-time information about the area they are visiting and to plan their activities effectively based on that information. Furthermore, there is a need to obtain real-time information about specific facilities in a region and to create travel plans that are tailored to the traveler's interests. Traditional systems require travelers to individually research information about specific spots or to go through separate procedures for visits, which presents inefficiencies in improving the travel experience.

[0500] 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.

[0501] In this invention, the server includes means for receiving input conditions from travelers, means for generating a travel plan based on the received input conditions, and means for providing information on facilities around physical stores and supporting visits to those facilities. This allows travelers to instantly obtain information about the area they are visiting and to execute and flexibly modify their travel plans.

[0502] A "traveler" is an individual who plans and carries out a trip, and is the entity that develops and manages the travel plan through the system.

[0503] "Input conditions" refer to the basic specifications that travelers specify, such as their destination, dates, budget, and activities of interest.

[0504] The "generation method" is a function that creates a travel plan based on input conditions, and is a process for generating an optimal plan that reflects the traveler's wishes.

[0505] The "booking method" refers to the function that arranges accommodation, transportation, and activities based on the generated travel plan.

[0506] "A means of monitoring and responding in real time" refers to a function that allows for immediate confirmation of changes in information that occur during travel and adjustment of plans according to the events that occur.

[0507] "Methods for collecting feedback and incorporating it into future travel plans" refers to the process of gathering travelers' opinions and impressions, analyzing them, and using that information to improve future travel plans.

[0508] "A means of providing information on facilities around physical stores and supporting visits to those facilities" refers to a function that provides travelers with detailed facility information about the area they are visiting in real time, and based on that, suggests the optimal visiting route and booking procedures.

[0509] This invention is an integrated travel support system that allows travelers to receive support at every stage of their travel planning. The system is operated through a traveler's device (such as a smartphone or smart glasses) and smoothly handles everything from generating travel plans and making reservations to real-time information updates and collecting post-trip feedback.

[0510] The server receives traveler input from the terminal and generates a travel plan using an internal generative AI model. The AI ​​model analyzes historical travel data and feedback to create an optimal plan tailored to the traveler's interests and needs. The generated plan incorporates choices for transportation, accommodation, and activities.

[0511] A key feature of this system is its ability to provide real-time information on facilities around physical stores, enabling users to receive explanations about their destinations and make reservations. Through map information APIs (e.g., Google Maps API) and reservation management system APIs (e.g., OpenTable API), travelers can instantly access local information via their devices.

[0512] For example, if a user visits a city and wishes to see nearby cultural sites, the server will aggregate relevant information and present accessible facilities and their reservation status. This allows travelers to flexibly change their plans and enjoy a fulfilling travel experience.

[0513] An example of a prompt message would be: "Suggest interesting cultural activities in the vicinity of the city where the user is currently located, and provide a visitor plan. For each destination, also consider available booking methods." In this way, the system provides travelers with the best possible travel experience.

[0514] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0515] Step 1:

[0516] The device receives input information from travelers, such as destination, itinerary, budget, and activities of interest. This information is sent to the server in text format. Here, data tailored to the traveler's preferences is collected, including the user's current location.

[0517] Step 2:

[0518] The server generates travel plans using an AI model based on the received input conditions. The model analyzes past travel data and feedback to create travel plans based on the traveler's interests. This process includes selecting destination attractions, activities, and accommodations that fit the budget.

[0519] Step 3:

[0520] Based on the generated travel plan, the server sends a series of suggestions to the terminal. These suggestions include transportation, accommodation, and activities. The terminal displays this information to the user and asks for selection and confirmation. It also uses a map information API to display geographical information about related facilities.

[0521] Step 4:

[0522] Once the user reviews and selects a suggestion, the server automatically executes the necessary booking via the booking management system API. This involves searching for available booking slots for accommodations and activities, sending the information back to the user as needed, and notifying the user of the booking status on their device.

[0523] Step 5:

[0524] During travel, the server provides real-time information related to the user's current location via the device. This includes changes in flight status and facility opening hours. The generating AI model regenerates alternative plans in response to unexpected situations and presents them on the device. It also updates the reservation status of newly suggested destinations and notifies the user.

[0525] Step 6:

[0526] After the trip, the device collects feedback from the user and sends it to the server. The server analyzes this feedback and updates its database. The feedback data is used to generate future travel plans and contributes to improving the accuracy of the AI ​​model.

[0527] 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.

[0528] This invention incorporates an emotion engine into a travel planning system to provide a travel experience that takes into account the user's emotions. The system recognizes emotions from user input, uses that information to customize the travel plan, and dynamically adjusts the plan based on changes in emotions that occur during the trip.

[0529] This system is implemented through interaction between the server, terminal, and user. When the user enters their travel preferences through the terminal, voice and facial expression data is automatically collected. This data is passed to an emotion engine, which analyzes the user's emotional state.

[0530] Based on the analyzed emotional information, the server uses an AI model to generate a travel plan adapted to the user's emotions. For example, if the user desires relaxation, the server will suggest hotels specializing in relaxation or scenic tourist destinations, incorporating elements that match the user's mood and state into the plan. The server then executes the booking process based on the generated travel plan and displays the details on the terminal.

[0531] Throughout the trip, the emotion engine continuously monitors the user's emotional changes in real time, and if a change in the plan is necessary as the trip progresses, it notifies the server. Upon receiving the change request, the server immediately develops an alternative plan and presents it to the user. At this point, the user can review and accept the new proposal through their device.

[0532] After the trip ends, feedback is collected from the user via their device. This feedback includes emotional data recorded by the emotion engine, which the server uses to update its database. Future travel plans are further personalized and optimized using this feedback information.

[0533] For example, if a user desires a trip that combines sightseeing and relaxation in an urban area, the emotional engine can analyze their stress level and suggest quiet cafes or parks for breaks when relaxation is needed. This kind of consideration allows users to enjoy a more satisfying travel experience.

[0534] This invention aims to improve the quality of travel by providing proactive planning and support that takes user emotions into consideration.

[0535] The following describes the processing flow.

[0536] Step 1:

[0537] The user enters their travel preferences into the terminal's interface. In addition to the entered text information, the terminal simultaneously records the user's voice and facial expression data and sends it to the emotion engine.

[0538] Step 2:

[0539] The emotion engine, upon receiving data transmitted from the device, analyzes the user's emotional state using voice tone and facial expression analysis. The analysis results quantify the emotions the user is currently feeling, such as stress, excitement, and relief, and send them to the server.

[0540] Step 3:

[0541] The server receives the user's sentiment analysis results and uses them to generate a travel plan. Specifically, it uses an AI model to consider the user's preferences and emotional state to generate the optimal travel plan. At this stage, the suggested activities and accommodations are prioritized based on the user's emotional state.

[0542] Step 4:

[0543] The server generates a travel plan and provides it to the manual booking system, which then executes the booking of flights, accommodations, and other items included in the plan. Once the booking status is confirmed, the details are sent to the terminal.

[0544] Step 5:

[0545] The device displays the received travel plan to the user. The user can review it, accept it if satisfied, and request changes if necessary. This feedback is then sent back to the server, and the plan is adjusted as needed.

[0546] Step 6:

[0547] During the trip, the emotion engine continuously monitors the user's voice and facial expressions. If a new change in emotion is detected, that data is immediately sent to the server.

[0548] Step 7:

[0549] The server receives data on emotional changes and adjusts parts of the current travel plan accordingly. For example, if the emotional change is negative, it will cancel scheduled activities and immediately suggest alternatives more suited to relaxation.

[0550] Step 8:

[0551] The terminal presents the user with the new plan sent from the server and notifies them of the changes in real time. The user can approve or make additional requests through the terminal.

[0552] Step 9:

[0553] After the trip ends, users enter their feedback into their device. This feedback includes emotional data recorded during the trip, and the server uses this to update its database, preparing it for use in planning future trips.

[0554] (Example 2)

[0555] 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."

[0556] Conventional travel planning systems create travel plans based on static input conditions from travelers, making it difficult to flexibly respond to changes in travelers' emotions and circumstances. This resulted in a problem where travelers were not fully satisfied.

[0557] 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.

[0558] In this invention, the server includes means for analyzing input conditions based on the traveler's emotional state, means for generating a travel plan using the analyzed emotional state information, and means for monitoring changes in emotions during the trip in real time and adjusting the plan accordingly. This enables a travel experience that enhances traveler satisfaction by flexibly adjusting the travel plan according to the traveler's emotions.

[0559] A "traveler" refers to someone who plans a trip and actually takes it.

[0560] "Emotional state" refers to information that indicates a traveler's emotions and psychological condition, and is analyzed from data such as voice and facial expressions.

[0561] "Input conditions" refer to the preferences and requirements that travelers provide for planning their trip, including destination, dates, budget, and activities of interest.

[0562] "Generative means" refers to methods and techniques for creating travel plans based on analyzed emotional states and input conditions.

[0563] "Reservation methods" refer to the methods and mechanisms for making reservations for accommodations, transportation, sightseeing activities, etc., based on the generated travel plan.

[0564] "Plan adjustment" refers to modifying or optimizing an existing travel plan based on the traveler's emotional state during the trip.

[0565] "Feedback" refers to the impressions and evaluations received from travelers after their trip, and is useful information for improving future travel plans.

[0566] This invention is a system that dynamically provides travel plans adapted to the emotional state of travelers. First, the user inputs their travel preferences into a terminal. These preferences include destination, dates, budget, and activities of interest. The terminal is equipped with a voice input device and a camera to collect the user's voice and facial expression data, which is then transmitted to a server.

[0567] The server analyzes voice and facial expression data using an emotion engine. Specifically, it can use a voice recognition software called a "voice conversion API" and an image recognition software called a "facial expression analysis library." This allows the user's emotional state to be quantified and categorized.

[0568] Next, the server uses a generative AI model to generate a travel plan based on the analyzed emotional information. The generative AI model used is a "natural language generation model," which provides a plan tailored to the user's wishes and emotions. An example of a specific prompt would be, "If the user's emotional state indicates a desire for relaxation, generate a travel plan suitable for relaxation."

[0569] Based on the generated travel plan, the server presents the plan to the terminal, and the user confirms it. Once the user approves the plan, the server manages the booking process across the entire system and completes the reservations for accommodation, transportation, and activities.

[0570] During the trip, the device continues to monitor the user's emotional changes and sends that data to the server in real time. When the server detects a change, it generates a new plan and adjusts it as needed, ensuring the user always enjoys the optimal plan.

[0571] After the trip ends, user feedback is collected via the device. The server receives this feedback, updates the database, and uses it to generate future travel plans. This process ensures that a consistently customized travel experience is provided.

[0572] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0573] Step 1:

[0574] The user enters their travel preferences into the device. This information includes destination, dates, budget, and desired activities. The device simultaneously collects the user's voice and facial expression data and sends it to the server along with the entered text information. This is the input for data collection. The device uses data conversion technology to convert the raw data into an analyzable format. The output is an analyzable dataset.

[0575] Step 2:

[0576] The server receives audio and facial expression data sent from the terminal and performs analysis using an emotion engine. Audio data is converted to text by a speech recognition API, and facial expression data is converted into emotional states using a facial expression analysis library. The input is an analyzable dataset, and the output is a numerical or categorized representation of the user's emotional state. This process yields a detailed emotional profile based on the user's emotions.

[0577] Step 3:

[0578] The server generates a travel plan using a generative AI model based on the analyzed emotional profile and the user's preferences. This generative AI model employs natural language generation technology and accepts prompt sentences as input. For example, it might prompt, "If the user's emotional state indicates a desire for relaxation, generate a travel plan suitable for relaxation." Based on this prompt, it incorporates suitable tourist destinations and activities into the plan. The output is a customized travel plan.

[0579] Step 4:

[0580] The server sends the generated travel plan to the user's device. The user reviews and approves the travel plan using the device. The user can modify or select options from the plan through the user interface, allowing for further customization of the provided plan. The approved plan then becomes the input for the next step.

[0581] Step 5:

[0582] The server makes reservations based on approved plans. Using the reservation management system, all reservations for accommodation, transportation, and activities are processed in one place. This allows users to prepare for their trip through a consistent reservation system. The output is the completed reservation information.

[0583] Step 6:

[0584] The device continues to monitor the user's emotions throughout the trip and sends this information to the server via an emotion engine. If a change in emotions is detected, the server generates a new travel plan and adjusts it. The changed emotion data becomes the input, and the output is the adjusted travel plan. The user reviews this on the device and approves it again if necessary.

[0585] Step 7:

[0586] Once the trip is complete, the user provides feedback through their device. The server uses this feedback and emotion change data to update its database in order to improve future travel plans. The input to this process is the feedback data, and the output is the updated database information.

[0587] (Application Example 2)

[0588] 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."

[0589] Providing travel experiences that respond to the diverse emotions and interests of travelers is a challenge that traditional travel planning systems have not adequately addressed. It is necessary to achieve travel optimized for individual travelers through dynamic adjustments of plans to accommodate changes in emotions during the trip and comprehensive booking management. Furthermore, such systems should ideally incorporate traveler feedback to improve future travel experiences.

[0590] 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.

[0591] In this invention, the server includes means for receiving input conditions from the traveler, means for detecting and analyzing the traveler's emotions, and means for dynamically adjusting the travel plan based on the analyzed emotions. This makes it possible to provide an optimized travel experience based on the traveler's emotional state.

[0592] "Traveler input conditions" refer to information and requests regarding the traveler's desired trip, including input data such as budget, destination, and itinerary.

[0593] "Generating a travel plan" is the process of creating a plan that combines itinerary, accommodations, tourist destinations, and other elements based on the traveler's input criteria.

[0594] "Making various reservations" refers to the process of booking necessary items for your travel plan, such as transportation, accommodation, and sightseeing activities.

[0595] "Monitoring changes in information in real time" means continuously observing and recording changes in the environment, circumstances, and the state of the traveler during their trip.

[0596] "Detecting and analyzing travelers' emotions" is a process that uses data such as travelers' voice and facial expressions to determine the type and intensity of their emotions.

[0597] "Dynamically adjusting travel plans" refers to modifying and optimizing the initial travel plan in response to changes in the traveler's emotions and circumstances during the trip.

[0598] "Collecting feedback and incorporating it into future travel plans" means gathering traveler opinions and impressions after a trip as data and using it to improve future travel plans.

[0599] "Managing comprehensive bookings" means centrally controlling and managing the booking status of all elements related to travel, such as transportation, accommodation, and activities.

[0600] This invention is a system that provides a travel experience that takes into account the emotional state of travelers. Specific embodiments are described below.

[0601] The server receives input conditions from the traveler's terminal and generates a travel plan based on them. The terminal collects voice and facial expression data when the traveler enters their travel preferences. This data is analyzed through an emotion recognition engine to extract the traveler's emotional state. OpenAI's emotion analysis API is used for this analysis. The analysis results are input into a generative AI model that generates the travel plan, and the AI ​​proposes a plan that is adapted to the traveler's emotions.

[0602] Based on the travel plan, the server comprehensively manages booking procedures for transportation, accommodation, and activities. Furthermore, during the trip, the server monitors the traveler's emotional changes in real time via the terminal and dynamically adjusts the travel plan as needed. For example, if the traveler's tension increases, it can suggest a break at a quiet cafe.

[0603] After the trip ends, feedback from travelers is collected using a device. This includes emotional data recorded by an emotion recognition engine. The server then incorporates this feedback into a database, which can be used to improve the quality of future travel plans.

[0604] For example, if a user plans a trip for relaxation, the server will suggest a plan that includes a trip to a resort or a spa experience. Furthermore, if the user's interests change or new emotions are detected during the trip, the server can suggest new destinations or activities.

[0605] Examples of prompt messages include the following:

[0606] Input data: User's voice tone and facial expression data

[0607] Prompt: "Interpret the user's current emotional state and reflect it in their travel destination selection."

[0608] Expected output: "The user appears to have a high stress level. We recommend a travel plan that prioritizes relaxation."

[0609] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0610] Step 1:

[0611] The device receives travel preferences from the user as input. Simultaneously, it collects the user's voice and facial expression data using a microphone and camera. This collected voice and facial expression data is necessary for analyzing the user's emotional state.

[0612] Step 2:

[0613] The device passes the collected voice and facial expression data to an emotion recognition engine, which analyzes the user's emotional state. The emotion recognition engine uses the voice tone and facial expression changes as input data to perform emotion analysis to identify the user's emotions (e.g., stress, relaxation), and generates an emotional state as output.

[0614] Step 3:

[0615] The server receives the user's travel preferences transcribed from the terminal and their analyzed emotional state as input. This data is passed to a generating AI model, which then generates a travel plan adapted to the user's interests and emotions. The generated travel plan includes a specific itinerary, accommodations, and activities, and prompts are generated based on it.

[0616] Step 4:

[0617] The server manages and arranges reservations for transportation, accommodation, and activities based on the generated travel plan. This process involves data entry into the reservation system and output of reservation confirmation information. The outputted reservation information is then sent to the user for confirmation.

[0618] Step 5:

[0619] During travel, the device periodically collects the user's voice and facial expression data, monitoring emotional changes in real time. The collected data is sent to an emotion recognition engine for emotion analysis. The resulting information on changes in emotional state is then sent to a server.

[0620] Step 6:

[0621] The server receives the user's latest emotional state as input and dynamically adjusts the travel plan as needed. Generative AI models are used to adjust the plan, creating new prompts and suggesting alternative activities or destinations. This ensures that travelers enjoy an experience that matches their emotions.

[0622] Step 7:

[0623] After the trip ends, the device collects user feedback and emotional data recorded during the trip. This feedback data is sent to a server database and used to optimize future travel plans. The feedback may include words of gratitude and suggestions for improvement, which helps update the database.

[0624] 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.

[0625] 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.

[0626] 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.

[0627] [Fourth Embodiment]

[0628] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0629] 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.

[0630] 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).

[0631] 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.

[0632] 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.

[0633] 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).

[0634] 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.

[0635] 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.

[0636] 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.

[0637] 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.

[0638] 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.

[0639] 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.

[0640] 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".

[0641] This invention relates to a system that implements an AI agent to easily and effectively support users in planning their trips. The system is designed to solve various challenges users face when planning their trips, enabling them to smoothly prepare for, execute, and review their trips.

[0642] The entire system is realized through the interaction between the server, terminal, and user. The user uses the terminal interface to input their travel preferences, specifying basic travel details such as destination, dates, budget, and activities of interest.

[0643] Upon receiving input conditions from the user, the server uses its internal AI model to generate an optimal travel plan. The AI ​​model takes into account vast amounts of travel data and past feedback to create a plan tailored to the user's individual needs. The generated travel plan includes flight information, accommodations, restaurants, and suggestions for local activities.

[0644] Next, the server automatically makes flight and hotel reservations based on the travel plan. This includes confirming reservations once they are made and making any necessary adjustments to the plan. This entire process is centrally managed by a comprehensive reservation system.

[0645] During your trip, the server monitors various pieces of information in real time that could affect your itinerary—for example, flight delays or cancellations, sudden changes in local weather, etc. If any abnormal situation is detected, the server immediately readjusts the plan and notifies the user through their device.

[0646] Once the trip is over, users can enter feedback via their device. The server collects this feedback and updates its database, which is then used to generate future travel plans. This ensures that the service provided is continuously improved.

[0647] For example, if a user is planning a trip to Paris, they might enter activities such as "visiting art galleries" as their desired criteria. The server takes this into account and proposes a plan that satisfies the user's interests, including flights and hotels within their budget, as well as reservations for recommended museums and restaurants attached to galleries. Even if an unexpected flight cancellation occurs during the trip, the server will immediately arrange an alternative flight, ensuring the user can enjoy their trip with peace of mind.

[0648] In this way, the present invention provides fully supported travel assistance through basic user interaction.

[0649] The following describes the processing flow.

[0650] Step 1:

[0651] The user enters their travel preferences (e.g., destination, dates, budget, activities of interest, etc.) into the terminal interface. Once the user has finished entering the information, they press the "Submit" button to encode the information and send it to the server.

[0652] Step 2:

[0653] The server receives the user's requested conditions. The received data is formatted and decoded, and then input into an AI model for generating travel plans.

[0654] Step 3:

[0655] Based on the received data, an AI model on the server generates an optimal travel plan using a vast amount of historical data and trend information. The AI ​​model selects possible flights, accommodations, and activities that match the user's individual needs and interests.

[0656] Step 4:

[0657] The generated travel plan is passed from the server to a comprehensive booking system. This system checks the availability of flights and accommodations included in the travel plan and performs the process of making a provisional booking.

[0658] Step 5:

[0659] The server sends the generated travel plan and provisional booking information to the user's device. The user reviews this on the device screen and checks the details of the plan. If necessary, the user can request modifications to the plan.

[0660] Step 6:

[0661] The device sends user confirmation and modification requests to the server. The server incorporates the necessary changes and finally confirms the travel plan accepted by the user.

[0662] Step 7:

[0663] Based on the confirmed travel plan, the server completes the final booking process for flights, accommodations, and other services through a comprehensive booking system. Booking completion information is notified to the terminal and presented to the user as final confirmation.

[0664] Step 8:

[0665] During the trip, the server monitors various information in real time, such as flight status and weather. This information is used to make any necessary changes to the plan to ensure the user's trip runs smoothly.

[0666] Step 9:

[0667] The device instantly displays plan changes and important notifications to the user. The user can review the presented new plan and approve or make further adjustments as needed.

[0668] Step 10:

[0669] After the trip, users enter feedback via their device. This feedback is sent to the server and added to a database to optimize future travel plans.

[0670] (Example 1)

[0671] 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".

[0672] Traditional travel planning presented challenges, requiring travelers to spend considerable time and effort gathering information and making individual reservations. Furthermore, dealing with unexpected situations during travel was difficult and often stressful for travelers. Additionally, post-trip feedback was often not adequately incorporated into future travel planning.

[0673] 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.

[0674] In this invention, the server includes means for receiving input conditions from travelers via a terminal, means for generating a travel plan using a generation AI model based on the received input conditions, and means for automatically making reservations for various services based on the generated travel plan. This enables travelers to create efficient and individually optimized travel plans. Furthermore, it reduces the burden on travelers by quickly responding to changes in information during the trip and readjusting the plan. Post-trip feedback is also utilized for future trips, allowing for continuous service improvement.

[0675] The term "traveler" refers to an individual or group that plans and carries out a trip.

[0676] "Input conditions" refer to information such as destination, dates, budget, and activities of interest that travelers specify for their travel planning.

[0677] A "terminal" is an electronic device used by travelers to manipulate input conditions, and includes personal computers and smartphones.

[0678] A "server" refers to a central computer system that receives and processes input information from travelers.

[0679] A "generative AI model" refers to an artificial intelligence model used to analyze input conditions and create the optimal travel plan.

[0680] A "travel plan" refers to a detailed plan created by a generative AI model, including flight information, accommodations, and activity details related to a trip.

[0681] "Booking services" refers to the process of making reservations for necessary transportation, accommodation, and activities based on a travel plan.

[0682] "Feedback" refers to the evaluations and opinions about the travel experience provided by travelers after their trip, and is information that can be used to improve services in the future.

[0683] This invention is a system that allows users to efficiently plan their trips and enjoy them without stress. First, the user inputs their desired travel conditions using a terminal. These conditions include information such as destination, dates, budget, and activities of interest. This information is transmitted to the server through the terminal's interface.

[0684] Based on the information received from the user, the server activates an internally deployed generative AI model and begins analyzing the data. This generative AI model has learned from a vast amount of travel-related data and past user feedback, and automatically generates a travel plan that best suits the user's conditions. The generated travel plan includes flight information, accommodation, and activity suggestions, providing options tailored to the individual traveler's needs.

[0685] Furthermore, the server automatically makes reservations for related services based on the generated travel plan. Specifically, it checks the availability of flights and accommodations and manages the reservation process through a comprehensive reservation system. Once the actual reservation process is complete, the server notifies the user of the details via their terminal.

[0686] During your trip, the server constantly monitors the latest information in real time. When it receives information such as flight delays or cancellations, or changes in local weather, it quickly readjusts the user's travel plans to support them in continuing their trip with peace of mind. If a problem occurs, the server immediately generates a new plan and notifies the user via their device.

[0687] After the trip ends, users can input feedback about their experience through their device. The server collects this feedback and updates the database to improve the performance of the generated AI model, which can then be used to plan future trips.

[0688] For example, if a user enters the desired condition "I want to visit art galleries in Paris," the AI ​​model will suggest a plan that includes the best flights and accommodations within the budget, as well as reservations for recommended museums and restaurants attached to galleries. An example of a prompt would be, "The user is planning a trip to visit art galleries in Paris. Please suggest the best travel plan." In this way, users can easily plan and execute travel plans that suit their individual preferences.

[0689] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0690] Step 1:

[0691] Users input their travel preferences using a terminal. This includes information such as destination, dates, budget, and activities of interest. The terminal organizes this input and sends it to the server. The entered information becomes the basic data for the travel plan.

[0692] Step 2:

[0693] The server receives travel preferences sent from the terminal. Based on this, it activates a generative AI model and begins data analysis and planning. Specifically, it searches relevant travel databases based on the user's needs and generates the most suitable travel plan. The AI ​​model considers past feedback and trend data to provide the user with the best possible suggestions. The output is a travel plan that matches the user's conditions.

[0694] Step 3:

[0695] The server initiates the booking process for relevant services based on the generated travel plan. It checks the availability of available flights, accommodations, and activities through a comprehensive booking system and automatically proceeds with the booking process. Once the booking is confirmed, the details are notified to the terminal. This allows the user to efficiently complete the booking of the necessary travel elements.

[0696] Step 4:

[0697] During your trip, the server monitors relevant information in real time. It collects data on unexpected changes, such as flight delays or cancellations, and local weather changes, and readjusts your travel plan as needed. The adjusted plan is quickly notified to the user via their device. This allows users to continue their trip with peace of mind, even in the event of unforeseen circumstances.

[0698] Step 5:

[0699] After the trip, users enter feedback about their experience through their device. The server receives this feedback and updates the database to re-input it into the travel planning process. This feedback contributes to improving the quality of the generated AI model and forms the basis for improving the accuracy of future travel plans.

[0700] (Application Example 1)

[0701] 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".

[0702] During travel, it is difficult for travelers to obtain real-time information about the area they are visiting and to plan their activities effectively based on that information. Furthermore, there is a need to obtain real-time information about specific facilities in a region and to create travel plans that are tailored to the traveler's interests. Traditional systems require travelers to individually research information about specific spots or to go through separate procedures for visits, which presents inefficiencies in improving the travel experience.

[0703] 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.

[0704] In this invention, the server includes means for receiving input conditions from travelers, means for generating a travel plan based on the received input conditions, and means for providing information on facilities around physical stores and supporting visits to those facilities. This allows travelers to instantly obtain information about the area they are visiting and to execute and flexibly modify their travel plans.

[0705] A "traveler" is an individual who plans and carries out a trip, and is the entity that develops and manages the travel plan through the system.

[0706] "Input conditions" refer to the basic specifications that travelers specify, such as their destination, dates, budget, and activities of interest.

[0707] The "generation method" is a function that creates a travel plan based on input conditions, and is a process for generating an optimal plan that reflects the traveler's wishes.

[0708] The "booking method" refers to the function that arranges accommodation, transportation, and activities based on the generated travel plan.

[0709] "A means of monitoring and responding in real time" refers to a function that allows for immediate confirmation of changes in information that occur during travel and adjustment of plans according to the events that occur.

[0710] "Methods for collecting feedback and incorporating it into future travel plans" refers to the process of gathering travelers' opinions and impressions, analyzing them, and using that information to improve future travel plans.

[0711] "A means of providing information on facilities around physical stores and supporting visits to those facilities" refers to a function that provides travelers with detailed facility information about the area they are visiting in real time, and based on that, suggests the optimal visiting route and booking procedures.

[0712] This invention is an integrated travel support system that allows travelers to receive support at every stage of their travel planning. The system is operated through a traveler's device (such as a smartphone or smart glasses) and smoothly handles everything from generating travel plans and making reservations to real-time information updates and collecting post-trip feedback.

[0713] The server receives traveler input from the terminal and generates a travel plan using an internal generative AI model. The AI ​​model analyzes historical travel data and feedback to create an optimal plan tailored to the traveler's interests and needs. The generated plan incorporates choices for transportation, accommodation, and activities.

[0714] A key feature of this system is its ability to provide real-time information on facilities around physical stores, enabling users to receive explanations about their destinations and make reservations. Through map information APIs (e.g., Google Maps API) and reservation management system APIs (e.g., OpenTable API), travelers can instantly access local information via their devices.

[0715] For example, if a user visits a city and wishes to see nearby cultural sites, the server will aggregate relevant information and present accessible facilities and their reservation status. This allows travelers to flexibly change their plans and enjoy a fulfilling travel experience.

[0716] An example of a prompt message would be: "Suggest interesting cultural activities in the vicinity of the city where the user is currently located, and provide a visitor plan. For each destination, also consider available booking methods." In this way, the system provides travelers with the best possible travel experience.

[0717] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0718] Step 1:

[0719] The device receives input information from travelers, such as destination, itinerary, budget, and activities of interest. This information is sent to the server in text format. Here, data tailored to the traveler's preferences is collected, including the user's current location.

[0720] Step 2:

[0721] The server generates travel plans using an AI model based on the received input conditions. The model analyzes past travel data and feedback to create travel plans based on the traveler's interests. This process includes selecting destination attractions, activities, and accommodations that fit the budget.

[0722] Step 3:

[0723] Based on the generated travel plan, the server sends a series of suggestions to the terminal. These suggestions include transportation, accommodation, and activities. The terminal displays this information to the user and asks for selection and confirmation. It also uses a map information API to display geographical information about related facilities.

[0724] Step 4:

[0725] Once the user reviews and selects a suggestion, the server automatically executes the necessary booking via the booking management system API. This involves searching for available booking slots for accommodations and activities, sending the information back to the user as needed, and notifying the user of the booking status on their device.

[0726] Step 5:

[0727] During travel, the server provides real-time information related to the user's current location via the device. This includes changes in flight status and facility opening hours. The generating AI model regenerates alternative plans in response to unexpected situations and presents them on the device. It also updates the reservation status of newly suggested destinations and notifies the user.

[0728] Step 6:

[0729] After the trip, the device collects feedback from the user and sends it to the server. The server analyzes this feedback and updates its database. The feedback data is used to generate future travel plans and contributes to improving the accuracy of the AI ​​model.

[0730] 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.

[0731] This invention incorporates an emotion engine into a travel planning system to provide a travel experience that takes into account the user's emotions. The system recognizes emotions from user input, uses that information to customize the travel plan, and dynamically adjusts the plan based on changes in emotions that occur during the trip.

[0732] This system is implemented through interaction between the server, terminal, and user. When the user enters their travel preferences through the terminal, voice and facial expression data is automatically collected. This data is passed to an emotion engine, which analyzes the user's emotional state.

[0733] Based on the analyzed emotional information, the server uses an AI model to generate a travel plan adapted to the user's emotions. For example, if the user desires relaxation, the server will suggest hotels specializing in relaxation or scenic tourist destinations, incorporating elements that match the user's mood and state into the plan. The server then executes the booking process based on the generated travel plan and displays the details on the terminal.

[0734] Throughout the trip, the emotion engine continuously monitors the user's emotional changes in real time, and if a change in the plan is necessary as the trip progresses, it notifies the server. Upon receiving the change request, the server immediately develops an alternative plan and presents it to the user. At this point, the user can review and accept the new proposal through their device.

[0735] After the trip ends, feedback is collected from the user via their device. This feedback includes emotional data recorded by the emotion engine, which the server uses to update its database. Future travel plans are further personalized and optimized using this feedback information.

[0736] For example, if a user desires a trip that combines sightseeing and relaxation in an urban area, the emotional engine can analyze their stress level and suggest quiet cafes or parks for breaks when relaxation is needed. This kind of consideration allows users to enjoy a more satisfying travel experience.

[0737] This invention aims to improve the quality of travel by providing proactive planning and support that takes user emotions into consideration.

[0738] The following describes the processing flow.

[0739] Step 1:

[0740] The user enters their travel preferences into the terminal's interface. In addition to the entered text information, the terminal simultaneously records the user's voice and facial expression data and sends it to the emotion engine.

[0741] Step 2:

[0742] The emotion engine, upon receiving data transmitted from the device, analyzes the user's emotional state using voice tone and facial expression analysis. The analysis results quantify the emotions the user is currently feeling, such as stress, excitement, and relief, and send them to the server.

[0743] Step 3:

[0744] The server receives the user's sentiment analysis results and uses them to generate a travel plan. Specifically, it uses an AI model to consider the user's preferences and emotional state to generate the optimal travel plan. At this stage, the suggested activities and accommodations are prioritized based on the user's emotional state.

[0745] Step 4:

[0746] The server generates a travel plan and provides it to the manual booking system, which then executes the booking of flights, accommodations, and other items included in the plan. Once the booking status is confirmed, the details are sent to the terminal.

[0747] Step 5:

[0748] The device displays the received travel plan to the user. The user can review it, accept it if satisfied, and request changes if necessary. This feedback is then sent back to the server, and the plan is adjusted as needed.

[0749] Step 6:

[0750] During the trip, the emotion engine continuously monitors the user's voice and facial expressions. If a new change in emotion is detected, that data is immediately sent to the server.

[0751] Step 7:

[0752] The server receives data on emotional changes and adjusts parts of the current travel plan accordingly. For example, if the emotional change is negative, it will cancel scheduled activities and immediately suggest alternatives more suited to relaxation.

[0753] Step 8:

[0754] The terminal presents the user with the new plan sent from the server and notifies them of the changes in real time. The user can approve or make additional requests through the terminal.

[0755] Step 9:

[0756] After the trip ends, users enter their feedback into their device. This feedback includes emotional data recorded during the trip, and the server uses this to update its database, preparing it for use in planning future trips.

[0757] (Example 2)

[0758] 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".

[0759] Conventional travel planning systems create travel plans based on static input conditions from travelers, making it difficult to flexibly respond to changes in travelers' emotions and circumstances. This resulted in a problem where travelers were not fully satisfied.

[0760] 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.

[0761] In this invention, the server includes means for analyzing input conditions based on the traveler's emotional state, means for generating a travel plan using the analyzed emotional state information, and means for monitoring changes in emotions during the trip in real time and adjusting the plan accordingly. This enables a travel experience that enhances traveler satisfaction by flexibly adjusting the travel plan according to the traveler's emotions.

[0762] A "traveler" refers to someone who plans a trip and actually takes it.

[0763] "Emotional state" refers to information that indicates a traveler's emotions and psychological condition, and is analyzed from data such as voice and facial expressions.

[0764] "Input conditions" refer to the preferences and requirements that travelers provide for planning their trip, including destination, dates, budget, and activities of interest.

[0765] "Generative means" refers to methods and techniques for creating travel plans based on analyzed emotional states and input conditions.

[0766] "Reservation methods" refer to the methods and mechanisms for making reservations for accommodations, transportation, sightseeing activities, etc., based on the generated travel plan.

[0767] "Plan adjustment" refers to modifying or optimizing an existing travel plan based on the traveler's emotional state during the trip.

[0768] "Feedback" refers to the impressions and evaluations received from travelers after their trip, and is useful information for improving future travel plans.

[0769] This invention is a system that dynamically provides travel plans adapted to the emotional state of travelers. First, the user inputs their travel preferences into a terminal. These preferences include destination, dates, budget, and activities of interest. The terminal is equipped with a voice input device and a camera to collect the user's voice and facial expression data, which is then transmitted to a server.

[0770] The server analyzes voice and facial expression data using an emotion engine. Specifically, it can use a voice recognition software called a "voice conversion API" and an image recognition software called a "facial expression analysis library." This allows the user's emotional state to be quantified and categorized.

[0771] Next, the server uses a generative AI model to generate a travel plan based on the analyzed emotional information. The generative AI model used is a "natural language generation model," which provides a plan tailored to the user's wishes and emotions. An example of a specific prompt would be, "If the user's emotional state indicates a desire for relaxation, generate a travel plan suitable for relaxation."

[0772] Based on the generated travel plan, the server presents the plan to the terminal, and the user confirms it. Once the user approves the plan, the server manages the booking process across the entire system and completes the reservations for accommodation, transportation, and activities.

[0773] During the trip, the device continues to monitor the user's emotional changes and sends that data to the server in real time. When the server detects a change, it generates a new plan and adjusts it as needed, ensuring the user always enjoys the optimal plan.

[0774] After the trip ends, user feedback is collected via the device. The server receives this feedback, updates the database, and uses it to generate future travel plans. This process ensures that a consistently customized travel experience is provided.

[0775] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0776] Step 1:

[0777] The user enters their travel preferences into the device. This information includes destination, dates, budget, and desired activities. The device simultaneously collects the user's voice and facial expression data and sends it to the server along with the entered text information. This is the input for data collection. The device uses data conversion technology to convert the raw data into an analyzable format. The output is an analyzable dataset.

[0778] Step 2:

[0779] The server receives audio and facial expression data sent from the terminal and performs analysis using an emotion engine. Audio data is converted to text by a speech recognition API, and facial expression data is converted into emotional states using a facial expression analysis library. The input is an analyzable dataset, and the output is a numerical or categorized representation of the user's emotional state. This process yields a detailed emotional profile based on the user's emotions.

[0780] Step 3:

[0781] The server generates a travel plan using a generative AI model based on the analyzed emotional profile and the user's preferences. This generative AI model employs natural language generation technology and accepts prompt sentences as input. For example, it might prompt, "If the user's emotional state indicates a desire for relaxation, generate a travel plan suitable for relaxation." Based on this prompt, it incorporates suitable tourist destinations and activities into the plan. The output is a customized travel plan.

[0782] Step 4:

[0783] The server sends the generated travel plan to the user's device. The user reviews and approves the travel plan using the device. The user can modify or select options from the plan through the user interface, allowing for further customization of the provided plan. The approved plan then becomes the input for the next step.

[0784] Step 5:

[0785] The server makes reservations based on approved plans. Using the reservation management system, all reservations for accommodation, transportation, and activities are processed in one place. This allows users to prepare for their trip through a consistent reservation system. The output is the completed reservation information.

[0786] Step 6:

[0787] The device continues to monitor the user's emotions throughout the trip and sends this information to the server via an emotion engine. If a change in emotions is detected, the server generates a new travel plan and adjusts it. The changed emotion data becomes the input, and the output is the adjusted travel plan. The user reviews this on the device and approves it again if necessary.

[0788] Step 7:

[0789] Once the trip is complete, the user provides feedback through their device. The server uses this feedback and emotion change data to update its database in order to improve future travel plans. The input to this process is the feedback data, and the output is the updated database information.

[0790] (Application Example 2)

[0791] 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".

[0792] Providing travel experiences that respond to the diverse emotions and interests of travelers is a challenge that traditional travel planning systems have not adequately addressed. It is necessary to achieve travel optimized for individual travelers through dynamic adjustments of plans to accommodate changes in emotions during the trip and comprehensive booking management. Furthermore, such systems should ideally incorporate traveler feedback to improve future travel experiences.

[0793] 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.

[0794] In this invention, the server includes means for receiving input conditions from the traveler, means for detecting and analyzing the traveler's emotions, and means for dynamically adjusting the travel plan based on the analyzed emotions. This makes it possible to provide an optimized travel experience based on the traveler's emotional state.

[0795] "Traveler input conditions" refer to information and requests regarding the traveler's desired trip, including input data such as budget, destination, and itinerary.

[0796] "Generating a travel plan" is the process of creating a plan that combines itinerary, accommodations, tourist destinations, and other elements based on the traveler's input criteria.

[0797] "Making various reservations" refers to the process of booking necessary items for your travel plan, such as transportation, accommodation, and sightseeing activities.

[0798] "Monitoring changes in information in real time" means continuously observing and recording changes in the environment, circumstances, and the state of the traveler during their trip.

[0799] "Detecting and analyzing travelers' emotions" is a process that uses data such as travelers' voice and facial expressions to determine the type and intensity of their emotions.

[0800] "Dynamically adjusting travel plans" refers to modifying and optimizing the initial travel plan in response to changes in the traveler's emotions and circumstances during the trip.

[0801] "Collecting feedback and incorporating it into future travel plans" means gathering traveler opinions and impressions after a trip as data and using it to improve future travel plans.

[0802] "Managing comprehensive bookings" means centrally controlling and managing the booking status of all elements related to travel, such as transportation, accommodation, and activities.

[0803] This invention is a system that provides a travel experience that takes into account the emotional state of travelers. Specific embodiments are described below.

[0804] The server receives input conditions from the traveler's terminal and generates a travel plan based on them. The terminal collects voice and facial expression data when the traveler enters their travel preferences. This data is analyzed through an emotion recognition engine to extract the traveler's emotional state. OpenAI's emotion analysis API is used for this analysis. The analysis results are input into a generative AI model that generates the travel plan, and the AI ​​proposes a plan that is adapted to the traveler's emotions.

[0805] Based on the travel plan, the server comprehensively manages booking procedures for transportation, accommodation, and activities. Furthermore, during the trip, the server monitors the traveler's emotional changes in real time via the terminal and dynamically adjusts the travel plan as needed. For example, if the traveler's tension increases, it can suggest a break at a quiet cafe.

[0806] After the trip ends, feedback from travelers is collected using a device. This includes emotional data recorded by an emotion recognition engine. The server then incorporates this feedback into a database, which can be used to improve the quality of future travel plans.

[0807] For example, if a user plans a trip for relaxation, the server will suggest a plan that includes a trip to a resort or a spa experience. Furthermore, if the user's interests change or new emotions are detected during the trip, the server can suggest new destinations or activities.

[0808] Examples of prompt messages include the following:

[0809] Input data: User's voice tone and facial expression data

[0810] Prompt: "Interpret the user's current emotional state and reflect it in their travel destination selection."

[0811] Expected output: "The user appears to have a high stress level. We recommend a travel plan that prioritizes relaxation."

[0812] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0813] Step 1:

[0814] The device receives travel preferences from the user as input. Simultaneously, it collects the user's voice and facial expression data using a microphone and camera. This collected voice and facial expression data is necessary for analyzing the user's emotional state.

[0815] Step 2:

[0816] The device passes the collected voice and facial expression data to an emotion recognition engine, which analyzes the user's emotional state. The emotion recognition engine uses the voice tone and facial expression changes as input data to perform emotion analysis to identify the user's emotions (e.g., stress, relaxation), and generates an emotional state as output.

[0817] Step 3:

[0818] The server receives the user's travel preferences transcribed from the terminal and their analyzed emotional state as input. This data is passed to a generating AI model, which then generates a travel plan adapted to the user's interests and emotions. The generated travel plan includes a specific itinerary, accommodations, and activities, and prompts are generated based on it.

[0819] Step 4:

[0820] The server manages and arranges reservations for transportation, accommodation, and activities based on the generated travel plan. This process involves data entry into the reservation system and output of reservation confirmation information. The outputted reservation information is then sent to the user for confirmation.

[0821] Step 5:

[0822] During travel, the device periodically collects the user's voice and facial expression data, monitoring emotional changes in real time. The collected data is sent to an emotion recognition engine for emotion analysis. The resulting information on changes in emotional state is then sent to a server.

[0823] Step 6:

[0824] The server receives the user's latest emotional state as input and dynamically adjusts the travel plan as needed. Generative AI models are used to adjust the plan, creating new prompts and suggesting alternative activities or destinations. This ensures that travelers enjoy an experience that matches their emotions.

[0825] Step 7:

[0826] After the trip ends, the device collects user feedback and emotional data recorded during the trip. This feedback data is sent to a server database and used to optimize future travel plans. The feedback may include words of gratitude and suggestions for improvement, which helps update the database.

[0827] 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.

[0828] 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.

[0829] 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.

[0830] 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.

[0831] 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. In the upper and lower directions of the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. Also, the upper side of the concentric circles is where "pleasant" emotions are located, and the lower side is where "unpleasant" emotions are located. In this way, 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.

[0832] 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.

[0833] 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.

[0834] 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.

[0835] 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."

[0836] 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.

[0837] 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.

[0838] 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.

[0839] 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.

[0840] 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.

[0841] 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.

[0842] 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.

[0843] 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.

[0844] 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.

[0845] 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.

[0846] 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.

[0847] 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.

[0848] The following is further disclosed regarding the embodiments described above.

[0849] (Claim 1)

[0850] A means of receiving traveler input conditions,

[0851] A generation means for generating a travel plan based on received input conditions,

[0852] A booking method for making various reservations based on the generated travel plan,

[0853] A means of monitoring and responding to changes in information that occur during travel in real time,

[0854] A means of collecting feedback from travelers after their trip and incorporating it into future travel planning,

[0855] A system that includes this.

[0856] (Claim 2)

[0857] The system according to claim 1, which customizes suggestions based on the traveler's interests and provides the optimal travel plan.

[0858] (Claim 3)

[0859] The system according to claim 1, which manages comprehensive bookings in one place and enables bookings for all elements related to flights, accommodations, and activities.

[0860] "Example 1"

[0861] (Claim 1)

[0862] A means of receiving traveler input conditions via a terminal,

[0863] A means for generating a travel plan using a generated AI model based on received input conditions,

[0864] A means of automatically making reservations for various services based on the generated travel plan,

[0865] A means of monitoring in real time any changes in information that may occur during travel, and readjusting the travel plan and notifying the device in the event of an anomaly,

[0866] A means of collecting feedback from travelers after their trip and incorporating it into the optimization of the generated AI model,

[0867] A system that includes this.

[0868] (Claim 2)

[0869] The system according to claim 1, which customizes suggestions based on the traveler's interests and provides the optimal travel plan.

[0870] (Claim 3)

[0871] The system according to claim 1, which comprehensively manages reservations based on received conditions and enables reservations for all elements related to transportation, accommodation, and activities.

[0872] "Application Example 1"

[0873] (Claim 1)

[0874] A means of receiving traveler input conditions,

[0875] A generation means for generating a travel plan based on received input conditions,

[0876] A booking method for making various reservations based on the generated travel plan,

[0877] A means of monitoring and responding to changes in information that occur during travel in real time,

[0878] A means of collecting feedback from travelers after their trip and incorporating it into future travel planning,

[0879] Providing information on facilities around physical stores and supporting visits to those facilities,

[0880] A system that includes this.

[0881] (Claim 2)

[0882] The system according to claim 1, which customizes suggestions based on the traveler's interests and provides the optimal travel plan.

[0883] (Claim 3)

[0884] The system according to claim 1, which manages comprehensive bookings in one place and enables bookings for all elements related to flights, accommodations, and work.

[0885] "Example 2 of combining an emotion engine"

[0886] (Claim 1)

[0887] A means of analyzing input conditions based on the emotional state of travelers,

[0888] A generation means for generating a travel plan using analyzed emotional state information,

[0889] A means of making a reservation based on the generated travel plan,

[0890] A means of monitoring emotional changes during travel in real time and adjusting the plan accordingly,

[0891] A means of collecting feedback from travelers after their trip and incorporating it into future travel planning,

[0892] A system that includes this.

[0893] (Claim 2)

[0894] The system according to claim 1, which customizes suggestions based on the emotional state of the traveler and provides the optimal travel plan.

[0895] (Claim 3)

[0896] The system according to claim 1, which comprehensively manages reservations in one place and enables the booking of all elements related to transportation, accommodation, and activities.

[0897] "Application example 2 when combining with an emotional engine"

[0898] (Claim 1)

[0899] A means of receiving traveler input conditions,

[0900] A generation means for generating a travel plan based on received input conditions,

[0901] A booking method for making various reservations based on the generated travel plan,

[0902] A means of monitoring and responding to changes in information that occur during travel in real time,

[0903] A means of detecting and analyzing travelers' emotions,

[0904] A means of dynamically adjusting travel plans based on analyzed emotions,

[0905] A means of collecting feedback from travelers after their trip and incorporating it into future travel planning,

[0906] A system that includes this.

[0907] (Claim 2)

[0908] The system according to claim 1, which customizes suggestions based on the traveler's interests and emotional state to provide the optimal travel plan.

[0909] (Claim 3)

[0910] The system according to claim 1, which manages comprehensive bookings in one place and enables bookings for all elements related to transportation, accommodation, and activities. [Explanation of symbols]

[0911] 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 of receiving traveler input conditions, A generation means for generating a travel plan based on received input conditions, A booking method for making various reservations based on the generated travel plan, A means of monitoring and responding to changes in information that occur during travel in real time, A means of collecting feedback from travelers after their trip and incorporating it into future travel planning, Providing information on facilities around physical stores and supporting visits to those facilities, A system that includes this.

2. The system according to claim 1, which customizes suggestions based on the traveler's interests and provides the optimal travel plan.

3. The system according to claim 1, which manages comprehensive bookings in one place and enables bookings for all elements related to flights, accommodations, and work.

Images