system

Abstract

Provide a system. 【Solution means】 An information registration means for receiving and registering information related to an individual, A data management means for collecting and managing data to create an exhaustive database, A needs analysis means for analyzing individual travel needs based on the user's information, A plan generation means for automatically generating a travel plan optimized for the user using a generation model, A plan presentation and adjustment means for presenting the generated travel plan to the user and receiving feedback to readjust the plan, A reservation processing means for outputting a confirmation including reservation information, An information providing means for providing the user with the latest information and support, A system including.

Description

Technical Field

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

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, 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] In travel planning, it is very complicated to create a plan according to the preferences and needs of individual travelers, which requires a lot of time and knowledge. Therefore, it is difficult for travelers to assemble an optimal travel experience for themselves from a vast amount of information, and as a result, they have to rely on general tour packages. Also, the complexity and associated stress in the travel reservation procedure are one of the problems faced by travelers.

Means for Solving the Problems

[0005] This invention provides a system that analyzes individual travel needs by registering personal information and managing a comprehensive travel database, and automatically generates optimized travel plans using a generative model. This system includes a function to present the generated plan and readjust it based on user feedback, and also includes means to automate travel booking procedures, thereby providing travelers with the latest information and comprehensive support, and realizing an ideal travel experience that matches their individual needs.

[0006] An "information registration method" is a mechanism that allows users to input personal information, travel preferences, and interests related to themselves and register them in the system.

[0007] A "data management system" is a mechanism for collecting travel-related information, creating an up-to-date database based on that information, and managing it.

[0008] A "needs analysis tool" is a system for analyzing the specific needs and preferences of travelers based on their registration information.

[0009] A "plan generation method" is a system that automatically creates optimized travel plans using a generative model based on user needs and an accumulated database.

[0010] "Plan presentation and adjustment mechanism" refers to a system that presents automatically generated travel plans to users and adjusts the plans as needed based on user feedback.

[0011] A "reservation processing method" is a system that automatically executes reservation procedures based on a user's confirmed travel plan and notifies the user of the reservation information.

[0012] "Information provision methods" refer to systems that provide users with the latest information and support throughout the duration of their travel planning.

[0013] A "communication interface" is a device or program that has the function of exchanging data between a system and external information sources or user terminals. [Brief explanation of the drawing]

[0014] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14]It is a sequence diagram showing the processing flow of a data processing system in Application Example 2 when combined with an emotion engine.

Embodiments for Carrying Out the Invention

[0015] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0016] First, the terms used in the following description will be explained.

[0017] In the following embodiments, a numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0018] In the following embodiments, a numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0019] In the following embodiments, a numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc.

[0020] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0021] 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."

[0022] [First Embodiment]

[0023] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0024] 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.

[0025] 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).

[0026] 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.

[0027] 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.

[0028] 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.

[0029] 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.

[0030] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0031] 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.

[0032] 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.

[0033] 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.

[0034] 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".

[0035] The present invention provides a system for efficiently formulating and executing travel plans for individual travelers. This system includes information registration means, data management means, needs analysis means, plan generation means, plan presentation and adjustment means, reservation processing means, information provision means, and a communication interface.

[0036] Users first register their travel preferences, interests, and personal information using an information registration system. This allows users to specify their travel purpose and desired experiences. Meanwhile, the server uses data management systems to collect various travel information from the internet and maintain a central database. This database includes destination information, transportation options, accommodations, and the latest event information.

[0037] Next, the user enters their specific travel preferences through the terminal. The terminal then transmits this information to the server via a communication interface. The server uses a needs analysis tool to analyze the user's preferences in detail and extract individual needs. Based on the analysis results, the server uses a plan generation tool to generate an optimized travel plan. This generation process utilizes AI technologies such as machine learning, and also takes into account the user's profile and past travel history.

[0038] The generated travel plan is sent to the device and presented to the user. The user reviews the plan and provides feedback as needed. This feedback is then sent back to the server, and the plan is readjusted through the plan presentation and adjustment mechanisms.

[0039] Once the user approves the plan, the server automatically executes the booking process for various travel services (accommodation, transportation, activities, etc.) using the booking processing mechanism. Upon completion of the booking, the user is notified of the details via their device.

[0040] In the period leading up to departure, the server uses information provision tools to provide users with the latest information on weather, traffic conditions, and local events at their destination. This allows users to prepare to enjoy their trip to the fullest. By providing such a high-quality service, it becomes possible to carry out complicated travel planning stress-free and efficiently.

[0041] As a concrete example, suppose a user desires a relaxing trip to a place where they can fully enjoy nature. In this case, the server incorporates major nature reserves and national parks both domestically and internationally, along with activities there (such as hiking and nature observation tours), into the plan and proposes the optimal route. Furthermore, based on user feedback, the content is adjusted to include local traditional cooking experiences and cultural events. During the trip, new event information and weather changes are notified to the device as they occur, allowing the user to enjoy their trip with peace of mind.

[0042] The following describes the processing flow.

[0043] Step 1:

[0044] Users use their devices to input their travel purpose, preferences, and personal information, and register this information in the system through a data registration method. This allows for the aggregation of individual needs, which will then be used to plan future trips.

[0045] Step 2:

[0046] The terminal sends the data entered by the user to the server via a communication interface. The server stores the received data in a database and updates the user's profile.

[0047] Step 3:

[0048] The server uses data management tools to collect the latest travel-related data from the internet. The collected data is added to a database and used to improve the accuracy of travel planning.

[0049] Step 4:

[0050] The user enters specific travel details (date, time, budget, destination, etc.) via their device. These details are then sent to the server via a communication interface.

[0051] Step 5:

[0052] The server uses needs analysis tools to analyze user input information and identify travel needs. This analysis takes into account the user's past activities and preferences.

[0053] Step 6:

[0054] The server utilizes a plan generation system to create an optimal travel plan based on the user's needs. AI technology is used in this process, and the suggested plan is customized to the user's preferences.

[0055] Step 7:

[0056] The terminal displays a travel plan generated by the server to the user. The user reviews the plan and, if necessary, inputs any changes or requests as feedback into the terminal.

[0057] Step 8:

[0058] The device sends feedback information to the server. The server readjusts the travel plan based on the received feedback using plan presentation and adjustment mechanisms.

[0059] Step 9:

[0060] Once a user approves a plan, they notify the server of their decision via their device. The server then automatically makes reservations for accommodation, transportation, and activities through a reservation processing system.

[0061] Step 10:

[0062] The server generates a booking confirmation notification and sends detailed information to the user's device. The user receives the booking confirmation via their device and can then confidently begin preparing for their trip.

[0063] Step 11:

[0064] Until the trip departs, the server uses information provision methods to continuously send weather information, local event information, and other relevant data to the user's terminal. Users can check this information on their terminal and proceed with their trip smoothly.

[0065] (Example 1)

[0066] 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."

[0067] Modern travelers find it difficult to create the most suitable travel plan from a vast amount of information, and they also need to receive timely and relevant information while traveling. Therefore, the automatic generation of efficient travel plans tailored to individual user needs and the provision of real-time information are key challenges.

[0068] 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.

[0069] In this invention, the server includes data registration means for receiving and recording information related to an individual; data management means for acquiring and systematically storing data; travel request evaluation means for evaluating individual travel requests based on the user's data; plan creation means for automatically creating a travel plan tailored to the user using generation technology; plan presentation and update means for showing the created travel plan to the user and updating the plan to reflect their feedback; reservation execution means for issuing reservation details; information provision means for providing the user with the latest information and assistance; and local information notification means for delivering local information during the trip in real time. As a result, users can easily formulate travel plans based on their individual needs and receive important information during their trip in a timely manner.

[0070] A "data registration method" is a function for accurately collecting and recording information related to an individual.

[0071] A "data management system" is a function that systematically stores acquired data and makes it accessible as needed.

[0072] A "travel request evaluation tool" is a function that is responsible for the process of analyzing and evaluating individual travel requests based on information provided by the user.

[0073] "Plan creation means" refers to a function that utilizes generation technology to automatically construct a travel plan optimized for the user.

[0074] The "plan presentation and updating mechanism" is a function that displays the travel plan created by the user and handles the process of readjusting the plan based on feedback.

[0075] A "reservation execution method" is a function that automatically performs the reservation procedure for services based on a travel plan and issues detailed information.

[0076] "Information provision means" refers to functions that provide users with the latest travel information and support details.

[0077] A "local information notification system" is a function that delivers important local information to users in real time while they are traveling.

[0078] The present invention is a system that automatically formulates travel plans optimized for individual user needs and provides information efficiently. This system mainly includes data registration means, data management means, travel request evaluation means, plan creation means, plan presentation and update means, reservation execution means, information provision means, and local information notification means.

[0079] Users first input personal information and travel preferences using a terminal. This information is then transmitted to the server via a data registration system. The server receives this data and stores it systematically using a data management system. The collected data is stored in a database and is regularly updated to ensure that the information is always up-to-date.

[0080] In the travel request evaluation system, the server uses AI technology, particularly machine learning and natural language processing, to analyze user preferences and past travel history and extract individual travel needs. This process utilizes a high-performance computer system to quickly process complex datasets.

[0081] In the planning process, the server uses a generative AI model to automatically generate a travel plan that takes into account the extracted needs. In this process, multiple tourist destinations and activities are efficiently combined to create an optimal schedule.

[0082] Once a travel plan is generated, it is sent to the device via a plan presentation and update mechanism. Users can review the plan and provide feedback. The server then readjusts and updates the plan based on this feedback.

[0083] Once the plan is approved, the server automatically makes reservations for the related services through the reservation execution mechanism. This process includes integration with APIs of external travel agencies.

[0084] Furthermore, the information provision system will provide users with important information before and during their trip. Specifically, this includes local weather, traffic conditions, and event information. This information will be notified to the device in real time and delivered to the user through local information notification systems.

[0085] As a concrete example, a user who wants to enjoy the natural environment can input their preference, and the server will create a relaxing travel plan that includes nature reserves and national parks. For instance, a prompt such as "The user wants a trip centered around outdoor activities; please generate a plan that includes appropriate tourist destinations and experiences" can be used. This allows for the user's travel experience to be as personalized as possible, resulting in a highly satisfying outcome.

[0086] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0087] Step 1:

[0088] Users input personal information and travel preferences using a terminal. This information includes the type of travel destination, activities, budget, and itinerary. The terminal sends the entered data to the server as a data registration method. During this process, the input data is converted to a standardized format before being sent to the server.

[0089] Step 2:

[0090] The server records user information received using data management tools in a central database. This data is stored while maintaining consistency because it will later be used to generate user travel plans. A duplicate check is performed against existing information in the database, and new information is added.

[0091] Step 3:

[0092] In response to user requests, the terminal inputs detailed travel preferences. Specifically, this includes desired travel experiences and requests for specific dates. The terminal transmits this information to the server via a communication interface, providing the server with input for analysis.

[0093] Step 4:

[0094] The server analyzes travel details received from the communication interface using a needs analysis tool. Using machine learning algorithms, it matches user needs with other user information in the database to identify similar travel patterns. This process extracts individual needs and generates analysis results.

[0095] Step 5:

[0096] Based on the analysis results, the server automatically generates a travel plan using its planning tools. Utilizing a generation AI model, it designs an optimal plan tailored to the user's profile. This output is presented as a list of suggested destinations, schedules, and activities.

[0097] Step 6:

[0098] The server sends the generated travel plan to the terminal and presents it to the user. The plan includes itinerary, destinations, and accommodation information, which the user reviews. The user provides feedback from the terminal, and the server receives this feedback through the plan presentation and update mechanisms.

[0099] Step 7:

[0100] The server readjusts and provides an updated travel plan based on user feedback. Here, the AI ​​model modifies the plan, taking into account newly added user requests. The output of this step is the final plan reflecting the feedback.

[0101] Step 8:

[0102] After the final plan is confirmed, the server executes the booking of the necessary services through the booking execution mechanism. This booking includes accommodation, transportation, and activities, and booking confirmation information is generated as output and sent to the terminal.

[0103] Step 9:

[0104] Before and during a trip, the server provides users with the latest information using information delivery systems. This includes real-time notifications of local weather, event information, and traffic conditions, which are handled by local information notification systems. Users receive this information on their devices and adjust their trip accordingly.

[0105] (Application Example 1)

[0106] 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."

[0107] When planning a trip, it is difficult to quickly and efficiently create the optimal travel plan while addressing the diverse needs of individual travelers. Furthermore, providing appropriate guidance in real time in response to changing circumstances during the trip is required, but doing so manually is time-consuming and inefficient. Therefore, an automated system is needed to solve these problems.

[0108] 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.

[0109] In this invention, the server includes input means for receiving and registering information related to an individual, management means for collecting and managing data to create a comprehensive database, and analysis means for analyzing individual travel needs based on the user's information. This enables the automatic creation of an optimal travel plan for the user and route guidance during the trip.

[0110] An "input method" is a function for receiving and registering information related to an individual.

[0111] "Management means" refers to functions for collecting data and creating and maintaining a comprehensive database.

[0112] "Analysis tools" refer to functions for analyzing individual travel needs based on user information.

[0113] The "plan creation method" refers to a function that uses a generative model to automatically generate a travel plan optimized for the user.

[0114] The "presentation and adjustment means" is a function that presents the generated travel plan to the user and readjusts the plan based on their feedback.

[0115] The "processing means" refers to a function for outputting confirmation information, including reservation details.

[0116] "Means of provision" refers to functions that provide users with the latest information and support.

[0117] A "route guidance system" is a function that provides route guidance during travel in conjunction with an automated transportation system.

[0118] To realize this application, the server constructs a system consisting of multiple means. First, the user registers personal travel-related information via an input means. This includes the purpose and interests of the trip. The server receives this information and, through a management means, combines it with other travel data to build a comprehensive database. This database includes destination information, transportation information, accommodation information, event information, and more.

[0119] The analysis system analyzes individual travel needs based on user input and automatically generates an optimized travel plan. This generation process utilizes a generation AI model and takes into account the user's profile and past travel history. The automatically generated plan is presented to the user via a presentation and adjustment system and readjusted based on user feedback. Once the user approves the travel plan, the processing system automatically outputs a confirmation including booking information and sends it to the user.

[0120] Furthermore, the service will provide users with up-to-date weather information, traffic conditions, and local event information throughout their trip, helping to enhance the quality of their travel. The route guidance system will also work in conjunction with automated transportation systems to ensure safe and efficient route guidance during their journey.

[0121] For example, if a user requests to enjoy a scenic drive during a trip using an autonomous vehicle, the route guidance system will suggest the optimal driving route based on real-time traffic information and weather data. It will also dynamically suggest sightseeing spots and points of interest along the way.

[0122] (Prompt message to the generating AI)

[0123] "Please generate a travel plan that meets the following conditions: Hiking and nature observation, relaxation-oriented, quiet and scenic area. Duration: 3 days."

[0124] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0125] Step 1:

[0126] Users input their travel preferences, purpose, and basic personal information through their device. The entered data is transmitted to the server via the input method. This information is stored in the server's management system and used as basic data for travel planning.

[0127] Step 2:

[0128] The server stores the collected data in a centralized database and maintains it by combining it with destination information, transportation information, accommodation information, etc., using management tools. In this process, data processing such as organization, updating, and deduplication is performed to keep the database clean.

[0129] Step 3:

[0130] The server uses analytical tools to analyze individual travel needs from user data and registration information. Machine learning algorithms are used in the analysis to extract trends based on the user's past travel history and current preferences, and to build profiles for use in the next step.

[0131] Step 4:

[0132] Using a generative AI model, the planning method automatically generates the optimal travel plan that matches the user's profile. This model suggests destinations, adjusts dates, sets recommended routes, and creates the most satisfying plan through a predictive model.

[0133] Step 5:

[0134] The generated travel plan is presented to the user via their terminal using a presentation and adjustment mechanism. The user reviews the plan and provides feedback with any requested revisions or additions. This information is then sent back to the server and used as reference in the next step.

[0135] Step 6:

[0136] The server incorporates feedback into the plan and readjusts the plan using planning tools. It analyzes the feedback information, performs recalculations and adjustments, and finalizes the plan.

[0137] Step 7:

[0138] Once the user approves their confirmed travel plan, the server's processing system automatically makes reservations for the relevant travel services. After the reservation process is complete, the user is notified of the reservation completion.

[0139] Step 8:

[0140] During your trip, the service will send real-time updates (weather, events, traffic information) to your device and support smart travel using route guidance. It will also work in conjunction with autonomous vehicles to ensure safe and efficient routes.

[0141] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0142] This invention relates to a travel planning support system that incorporates an emotion engine to recognize user emotions. The system aims to improve the accuracy of travel planning and user satisfaction by incorporating emotional data in order to make the user's travel experience more personal and satisfying.

[0143] First, users input their travel purpose, interests, and individual emotional state using a terminal, and register this information in the system through an information registration method. The terminal utilizes an emotion engine to analyze the user's emotions at the time of input. This allows for a clearer understanding of the nuances of their expectations and hopes regarding their travel plan.

[0144] Subsequently, the device transmits emotion-related data to the server using a communication interface. The server, through data management mechanisms, stores this emotion data in a database along with general travel data. This database includes adjustment information based on the optimal travel destination, activities, and accompanying members, tailored to the mood.

[0145] The server uses needs analysis tools to analyze user information, including emotional data, and identify individual needs. Based on this analysis, the process of generating an optimal travel plan is initiated. The plan generation tool customizes the travel plan to match the user's current emotional state and suggests activities that take emotional changes into account. For example, if the user is seeking relaxation, adjustments such as including quiet places as destinations are made.

[0146] The generated travel plan is presented to the user via their device, and the user reviews the plan and provides further feedback by evaluating its emotional fit. This feedback is sent back to the server, where the travel plan is re-evaluated through plan presentation and adjustment mechanisms. The server utilizes the evaluation feedback mechanisms to further improve the emotional engine based on user feedback and incorporates it into future plan generation.

[0147] Once a trip is confirmed, various services are automatically booked through the booking system, and information that might influence emotions, such as upcoming events or seasonal changes at the destination, is provided to the user as it becomes available. Throughout the trip, the server continues to gather user feedback using an emotion engine to improve the travel experience.

[0148] For example, if a user is perceived as being in an active emotional state seeking adventure, the server will suggest a plan that includes rugged terrain and entertainment-filled destinations. If feedback during the trip indicates that the user wished for more relaxation, the system will suggest changes to activities that include relaxation. This system allows users to enjoy a travel experience that best matches their emotions at that time.

[0149] The following describes the processing flow.

[0150] Step 1:

[0151] The user uses the device to input information such as the purpose of their trip, the experiences they expect, and their current emotional state. As they input this information, the device analyzes the user's emotions through an emotion engine and collects the data.

[0152] Step 2:

[0153] The terminal transmits data entered by the user and emotional information acquired by the emotion engine to the server via a communication interface.

[0154] Step 3:

[0155] The server registers the received user information in a database using a data management system. This includes emotional data and related travel preferences.

[0156] Step 4:

[0157] The server uses needs analysis tools to specifically analyze the user's emotional data and associated requests, thereby identifying individual travel needs.

[0158] Step 5:

[0159] The server uses a plan generation mechanism to consider emotional data and generate a travel plan optimized for the user's current mood. If the user is feeling adventurous, a plan including active activities will be selected.

[0160] Step 6:

[0161] The generated travel plan is sent to the device and presented to the user. The user reviews the plan, evaluates whether it is emotionally suitable, and enters feedback on the device.

[0162] Step 7:

[0163] The terminal collects user feedback and sends it to the server via a communication interface. The server uses plan presentation and adjustment mechanisms to incorporate the feedback and adjust the plan.

[0164] Step 8:

[0165] Once the user approves the final plan, the server automatically processes the booking for the travel service using the booking processing mechanism and sends a completion notification to the user's device.

[0166] Step 9:

[0167] During the trip, the server uses an emotion engine to continuously obtain emotional feedback from the user and provides necessary information and support based on that feedback.

[0168] Step 10:

[0169] After the trip ends, the server analyzes the user's feedback from the entire journey using an evaluation feedback system and uses it to improve the emotion engine and the travel plan generation process.

[0170] (Example 2)

[0171] 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".

[0172] Traditional travel planning systems offer fixed plans without considering the user's emotions, making it difficult to provide an optimal travel experience tailored to individual emotional states. Furthermore, they fail to effectively utilize user feedback, hindering plan improvement and increased satisfaction.

[0173] 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.

[0174] In this invention, the server includes data input means for receiving and registering individually relevant information, emotion analysis means for analyzing emotion data and identifying individual requests based on emotional states, and plan generation means for automatically generating travel plans optimized for the user's emotional state using a generative model. This makes it possible to provide a flexible and personalized travel experience based on the user's emotions.

[0175] "Data input means" refers to devices or methods for receiving and registering individually related information.

[0176] A "data control system" is a mechanism for collecting and managing information in order to form a comprehensive data set.

[0177] "Emotional analysis means" refers to the process of analyzing a user's emotional data and identifying individual requests based on their emotional state.

[0178] "Plan generation method" refers to a technology that uses a generative model to automatically generate travel plans optimized for the user's emotional state.

[0179] "Plan presentation and adjustment mechanism" refers to a mechanism that presents a generated travel plan to the user, receives feedback, and readjusts the plan.

[0180] A "reservation management system" is a function that outputs confirmations containing reservation information and manages the reservation process.

[0181] "Information provision means" refers to methods and means for providing users with the latest information and support.

[0182] "Communication-related means" refers to technical methods or devices for exchanging information.

[0183] The "evaluation feedback mechanism" is a function that collects evaluations of the generated travel plans and uses them in information analysis to improve the generative model.

[0184] This invention is a system that analyzes a user's emotions and provides a personalized travel plan based on that analysis. The user inputs their travel purpose, interests, and emotional state using a terminal. The terminal is equipped with an emotion engine that analyzes the user's emotions from the input data. The emotion engine is natural language processing software that analyzes the user's text input in real time.

[0185] After the user completes input, the terminal sends the analyzed data to the server using a communication interface. The server stores and manages this data using an SQL database. The information held as a data management tool is processed by a generative AI model to analyze individual travel needs.

[0186] The server uses a generative AI model to generate appropriate travel plans based on sentiment analysis results. The AI ​​model is pre-trained and capable of generating a variety of travel plans. An example of a prompt is, "The user is seeking relaxation, so suggest a plan that includes a quiet beach resort."

[0187] The generated travel plan is transmitted to the terminal via a communication interface and presented to the user. The user reviews the travel plan, evaluates its suitability, and provides feedback. The evaluated feedback is sent back to the server, which uses this information to improve the travel plan. In this way, a travel experience that best suits the user's feelings is provided.

[0188] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0189] Step 1:

[0190] The user uses a device to input their travel purpose, interests, and emotional state. Text-based information is used as input. The device utilizes an emotion engine to analyze the user's emotions from the input data. Specifically, natural language processing techniques are used to extract emotional keywords such as "want to relax" and "seek adventure." The output is the analyzed emotional state.

[0191] Step 2:

[0192] The terminal uses a communication interface to send analysis results and user input information to the server. Specifically, it bundles data into packets and transfers them to the server via a network protocol. The input is a set of analysis results and raw data, and the output is a notification to the server that the transfer is complete.

[0193] Step 3:

[0194] The server stores the received data in an SQL database. Using data control mechanisms, SQL queries are constructed to ensure the received data is stored correctly. The input consists of user sentiment data and input information, while the output is the information stored in the database.

[0195] Step 4:

[0196] The server utilizes a generative AI model to create personalized travel plans based on sentiment data stored in a database. This process generates prompts, which are then input into the AI ​​model. Prompts such as "Suggest the best travel destination based on your emotional state" are used. The input is the analyzed emotional state, and the output is the travel plan generated by the AI ​​model.

[0197] Step 5:

[0198] The server sends the generated travel plan to the terminal. Here, the data is reformatted and encoded, and then transferred using the communication interface. The input is the travel plan generated by the AI ​​model, and the output is a notification that the plan data has been successfully sent to the terminal.

[0199] Step 6:

[0200] Users review the travel plans presented through their devices and provide feedback. Specifically, they evaluate the plans on the device screen and enter comments and requests. The input is user feedback information, and the output is a notification that the feedback data has been successfully sent back to the server.

[0201] Step 7:

[0202] The server analyzes user feedback using evaluation feedback mechanisms and readjusts the travel plan as needed. It analyzes feedback data and modifies the plan based on the results. The input is feedback information, and the output is the revised travel plan.

[0203] (Application Example 2)

[0204] 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".

[0205] In today's work environment, there is a demand for work adjustments and efficiency improvements based on employees' emotional states. However, traditional systems have difficulty adjusting work schedules to take employees' emotions into account. As a result, it is not possible to provide efficient work schedules or improve work quality.

[0206] 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.

[0207] In this invention, the server includes data collection means for receiving and registering information related to an individual, emotion analysis means for analyzing the user's emotional state and proposing a work plan corresponding to that emotion, and schedule adjustment means for dynamically adjusting the work schedule based on the analysis results. This makes it possible to propose an appropriate work plan according to the emotional state of an employee and to dynamically adjust it.

[0208] "Data collection means" refers to devices or programs used to receive and register information related to an individual.

[0209] "Data management means" refers to devices or programs that collect and manage data in order to create a comprehensive database.

[0210] "Needs analysis tools" are devices or programs used to analyze individual needs based on user information.

[0211] A "plan generation means" refers to a device or program that automatically generates a plan optimized for the user using a generation model.

[0212] "Plan presentation and adjustment means" refers to devices or programs that present a generated plan to the user and allow for readjustment of the plan based on feedback.

[0213] A "reservation processing means" refers to a device or program for outputting a confirmation containing reservation information.

[0214] "Information provision means" refers to devices or programs that provide users with the latest information and support.

[0215] "Emotional analysis tools" are devices or programs that analyze a user's emotional state and propose a work plan that corresponds to that emotion.

[0216] A "schedule adjustment means" refers to a device or program for dynamically adjusting the work schedule based on the analysis results.

[0217] In order to implement this invention, the server, terminal, and user must cooperate to operate the system.

[0218] First, the terminal registers personal input information using data collection methods. The terminal is a smartphone or tablet device that provides an interface for the user to input emotional information and preferences regarding work. In this process, the Emotion API of Microsoft® Azure® is used for emotion analysis.

[0219] Next, the server uses data management tools to store the received information in a database. The server uses the Django framework with Python in a cloud environment, and PostgreSQL is used for data management. In this way, a comprehensive database is built.

[0220] The server uses needs analysis tools to analyze individual user needs based on their emotional information. Based on the analyzed information, an emotional analysis tool proposes a work plan optimized for that emotion.

[0221] Subsequently, the scheduling mechanism dynamically modifies the work schedule based on the analysis results. This process utilizes a generative model to generate a plan optimized for the user. This generated plan is then fed back to the user in real time using Azure Notification Hub.

[0222] To give a concrete example, when an employee working at a logistics center reports work-related stress via an app, the system can analyze it, suggest tasks that are more relaxing for the employee, and adjust their schedule accordingly. In this way, providing flexible work plans tailored to individual emotions improves both work efficiency and employee satisfaction.

[0223] By utilizing a generative AI model, the system continuously provides the best work plan tailored to each employee's state. An example of a prompt might be, "Based on the employee's emotional state, which work plan is optimal?" In this way, the system operates efficiently and flexibly.

[0224] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0225] Step 1:

[0226] Users input personal and emotional information using their devices. The entered data is temporarily stored on the device and organized in a structured format through data collection methods. This information includes emotional data, which may be collected through user facial recognition or text input.

[0227] Step 2:

[0228] The terminal sends information to the server. Using communication methods, the terminal transfers the collected information to a server in the cloud. The server stores the received data using data management methods and simultaneously performs data quality checks. As an ongoing job, it verifies that the data is complete and generates an alert if there are any missing values.

[0229] Step 3:

[0230] The server uses needs analysis tools to analyze user information and sentiment data. Based on the input data, the server analyzes the target user's business needs and creates appropriate plan proposals accordingly. In this process, a generative AI model is used, and predictive analytics techniques identify options that meet the user's requirements.

[0231] Step 4:

[0232] The server uses emotion analysis to propose a work plan. Based on the analyzed data, the server constructs a work plan tailored to the user's current emotional state. At this stage, the emotional data is mapped to specific work characteristics, and the elements that should be prioritized at each stage are clarified. As a result, a schedule is generated that allows the user to work most efficiently.

[0233] Step 5:

[0234] The server dynamically adjusts the work schedule using scheduling tools. The proposed plan is automatically adjusted based on ongoing user feedback and real-time changes in the work environment. This dynamic adjustment is notified directly to the user using Azure Notification Hub. The newly generated schedule is displayed on the user's terminal and becomes ready to execute.

[0235] 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.

[0236] 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.

[0237] 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.

[0238] [Second Embodiment]

[0239] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0240] 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.

[0241] 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).

[0242] 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.

[0243] 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.

[0244] 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).

[0245] 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.

[0246] 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.

[0247] 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.

[0248] 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.

[0249] 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.

[0250] 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".

[0251] The present invention provides a system for efficiently formulating and executing travel plans for individual travelers. This system includes information registration means, data management means, needs analysis means, plan generation means, plan presentation and adjustment means, reservation processing means, information provision means, and a communication interface.

[0252] Users first register their travel preferences, interests, and personal information using an information registration system. This allows users to specify their travel purpose and desired experiences. Meanwhile, the server uses data management systems to collect various travel information from the internet and maintain a central database. This database includes destination information, transportation options, accommodations, and the latest event information.

[0253] Next, the user enters their specific travel preferences through the terminal. The terminal then transmits this information to the server via a communication interface. The server uses a needs analysis tool to analyze the user's preferences in detail and extract individual needs. Based on the analysis results, the server uses a plan generation tool to generate an optimized travel plan. This generation process utilizes AI technologies such as machine learning, and also takes into account the user's profile and past travel history.

[0254] The generated travel plan is sent to the device and presented to the user. The user reviews the plan and provides feedback as needed. This feedback is then sent back to the server, and the plan is readjusted through the plan presentation and adjustment mechanisms.

[0255] Once the user approves the plan, the server automatically executes the booking process for various travel services (accommodation, transportation, activities, etc.) using the booking processing mechanism. Upon completion of the booking, the user is notified of the details via their device.

[0256] In the period leading up to departure, the server uses information provision tools to provide users with the latest information on weather, traffic conditions, and local events at their destination. This allows users to prepare to enjoy their trip to the fullest. By providing such a high-quality service, it becomes possible to carry out complicated travel planning stress-free and efficiently.

[0257] As a concrete example, suppose a user desires a relaxing trip to a place where they can fully enjoy nature. In this case, the server incorporates major nature reserves and national parks both domestically and internationally, along with activities there (such as hiking and nature observation tours), into the plan and proposes the optimal route. Furthermore, based on user feedback, the content is adjusted to include local traditional cooking experiences and cultural events. During the trip, new event information and weather changes are notified to the device as they occur, allowing the user to enjoy their trip with peace of mind.

[0258] The following describes the processing flow.

[0259] Step 1:

[0260] Users use their devices to input their travel purpose, preferences, and personal information, and register this information in the system through a data registration method. This allows for the aggregation of individual needs, which will then be used to plan future trips.

[0261] Step 2:

[0262] The terminal sends the data entered by the user to the server via a communication interface. The server stores the received data in a database and updates the user's profile.

[0263] Step 3:

[0264] The server uses data management tools to collect the latest travel-related data from the internet. The collected data is added to a database and used to improve the accuracy of travel planning.

[0265] Step 4:

[0266] The user enters specific travel details (date, time, budget, destination, etc.) via their device. These details are then sent to the server via a communication interface.

[0267] Step 5:

[0268] The server uses needs analysis tools to analyze user input information and identify travel needs. This analysis takes into account the user's past activities and preferences.

[0269] Step 6:

[0270] The server utilizes a plan generation system to create an optimal travel plan based on the user's needs. AI technology is used in this process, and the suggested plan is customized to the user's preferences.

[0271] Step 7:

[0272] The terminal displays a travel plan generated by the server to the user. The user reviews the plan and, if necessary, inputs any changes or requests as feedback into the terminal.

[0273] Step 8:

[0274] The device sends feedback information to the server. The server readjusts the travel plan based on the received feedback using plan presentation and adjustment mechanisms.

[0275] Step 9:

[0276] Once a user approves a plan, they notify the server of their decision via their device. The server then automatically makes reservations for accommodation, transportation, and activities through a reservation processing system.

[0277] Step 10:

[0278] The server generates a booking confirmation notification and sends detailed information to the user's device. The user receives the booking confirmation via their device and can then confidently begin preparing for their trip.

[0279] Step 11:

[0280] Before the trip departure, the server uses the information providing means to transmit weather information, local event information, etc. to the terminal at any time. The user can check this information from the terminal and smoothly proceed with the trip.

[0281] (Example 1)

[0282] Next, Example 1 will be described. In the following description, the data processing device 12 is referred to as the "server", and the smart glasses 214 are referred to as the "terminal".

[0283] Modern travelers find it difficult to formulate an optimal travel plan for themselves from a vast amount of information, and they are also required to receive appropriate information in a timely manner during the trip. Therefore, the automatic generation of an efficient travel plan tailored to the individual needs of users and the provision of real-time information have become issues. <00,00897>

[0284] The specific processing by the specific processing unit 290 of the data processing device 12 in Example 1 is realized by the following respective means.

[0285] In this invention, the server includes a data registration means for receiving and recording information related to an individual, a data management means for acquiring and systematically storing data, a travel requirement evaluation means for evaluating individual travel requirements based on user data, a travel plan creation means for automatically creating a travel plan suitable for the user using generation technology, a plan presentation and update means for presenting the created travel plan to the user and updating the plan by reflecting opinions, a reservation execution means for issuing reservation details, an information providing means for providing the user with the latest information and assistance, and a local information notification means for delivering real-time local information during the trip. As a result, the user can easily formulate a travel plan based on individual needs and can further receive important information during the trip in a timely manner.

[0286] The "data registration means" is a function for accurately collecting and recording information related to an individual.

[0287] A "data management system" is a function that systematically stores acquired data and makes it accessible as needed.

[0288] A "travel request evaluation tool" is a function that is responsible for the process of analyzing and evaluating individual travel requests based on information provided by the user.

[0289] "Plan creation means" refers to a function that utilizes generation technology to automatically construct a travel plan optimized for the user.

[0290] The "plan presentation and updating mechanism" is a function that displays the travel plan created by the user and handles the process of readjusting the plan based on feedback.

[0291] A "reservation execution method" is a function that automatically performs the reservation procedure for services based on a travel plan and issues detailed information.

[0292] "Information provision means" refers to functions that provide users with the latest travel information and support details.

[0293] A "local information notification system" is a function that delivers important local information to users in real time while they are traveling.

[0294] The present invention is a system that automatically formulates travel plans optimized for individual user needs and provides information efficiently. This system mainly includes data registration means, data management means, travel request evaluation means, plan creation means, plan presentation and update means, reservation execution means, information provision means, and local information notification means.

[0295] Users first input personal information and travel preferences using a terminal. This information is then transmitted to the server via a data registration system. The server receives this data and stores it systematically using a data management system. The collected data is stored in a database and is regularly updated to ensure that the information is always up-to-date.

[0296] In the travel request evaluation system, the server uses AI technology, particularly machine learning and natural language processing, to analyze user preferences and past travel history and extract individual travel needs. This process utilizes a high-performance computer system to quickly process complex datasets.

[0297] In the planning process, the server uses a generative AI model to automatically generate a travel plan that takes into account the extracted needs. In this process, multiple tourist destinations and activities are efficiently combined to create an optimal schedule.

[0298] Once a travel plan is generated, it is sent to the device via a plan presentation and update mechanism. Users can review the plan and provide feedback. The server then readjusts and updates the plan based on this feedback.

[0299] Once the plan is approved, the server automatically makes reservations for the related services through the reservation execution mechanism. This process includes integration with APIs of external travel agencies.

[0300] Furthermore, the information provision system will provide users with important information before and during their trip. Specifically, this includes local weather, traffic conditions, and event information. This information will be notified to the device in real time and delivered to the user through local information notification systems.

[0301] As a concrete example, a user who wants to enjoy the natural environment can input their preference, and the server will create a relaxing travel plan that includes nature reserves and national parks. For instance, a prompt such as "The user wants a trip centered around outdoor activities; please generate a plan that includes appropriate tourist destinations and experiences" can be used. This allows for the user's travel experience to be as personalized as possible, resulting in a highly satisfying outcome.

[0302] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0303] Step 1:

[0304] The user uses the terminal to input personal information and travel preferences. This information includes the type of travel destination, activities, budget, schedule, etc. The terminal sends the input data to the server as data registration means. At this time, the input data is converted into a standardized format and passed to the server.

[0305] Step 2:

[0306] The server uses data management means to record the received user information in the central database. This data is stored while maintaining consistency because it will be used to generate the user's travel plan later. Here, a duplicate check is performed with the existing information in the database, and new information is added.

[0307] Step 3:

[0308] In response to the user's request, the user inputs detailed travel wishes from the terminal. Specifically, it includes desired travel experiences and requests for specific days, etc. The terminal provides the input for analysis to the server by sending this information to the server through the communication interface.

[0309] Step 4:

[0310] The server analyzes the travel details received from the communication interface using needs analysis means. Using machine learning algorithms, the user's needs are compared with other user information in the database to identify similar travel patterns. Through this process, individual needs are extracted and analysis results are generated.

[0311] Step 5:

[0312] Based on the analysis results, the server automatically generates a travel plan using its planning tools. Utilizing a generation AI model, it designs an optimal plan tailored to the user's profile. This output is presented as a list of suggested destinations, schedules, and activities.

[0313] Step 6:

[0314] The server sends the generated travel plan to the terminal and presents it to the user. The plan includes itinerary, destinations, and accommodation information, which the user reviews. The user provides feedback from the terminal, and the server receives this feedback through the plan presentation and update mechanisms.

[0315] Step 7:

[0316] The server readjusts and provides an updated travel plan based on user feedback. Here, the AI ​​model modifies the plan, taking into account newly added user requests. The output of this step is the final plan reflecting the feedback.

[0317] Step 8:

[0318] After the final plan is confirmed, the server executes the booking of the necessary services through the booking execution mechanism. This booking includes accommodation, transportation, and activities, and booking confirmation information is generated as output and sent to the terminal.

[0319] Step 9:

[0320] Before and during a trip, the server provides users with the latest information using information delivery systems. This includes real-time notifications of local weather, event information, and traffic conditions, which are handled by local information notification systems. Users receive this information on their devices and adjust their trip accordingly.

[0321] (Application Example 1)

[0322] 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."

[0323] When planning a trip, it is difficult to quickly and efficiently create the optimal travel plan while addressing the diverse needs of individual travelers. Furthermore, providing appropriate guidance in real time in response to changing circumstances during the trip is required, but doing so manually is time-consuming and inefficient. Therefore, an automated system is needed to solve these problems.

[0324] 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.

[0325] In this invention, the server includes input means for receiving and registering information related to an individual, management means for collecting and managing data to create a comprehensive database, and analysis means for analyzing individual travel needs based on the user's information. This enables the automatic creation of an optimal travel plan for the user and route guidance during the trip.

[0326] An "input method" is a function for receiving and registering information related to an individual.

[0327] "Management means" refers to functions for collecting data and creating and maintaining a comprehensive database.

[0328] "Analysis tools" refer to functions for analyzing individual travel needs based on user information.

[0329] The "plan creation method" refers to a function that uses a generative model to automatically generate a travel plan optimized for the user.

[0330] The "presentation and adjustment means" is a function that presents the generated travel plan to the user and readjusts the plan based on their feedback.

[0331] The "processing means" refers to a function for outputting confirmation information, including reservation details.

[0332] "Means of provision" refers to functions that provide users with the latest information and support.

[0333] A "route guidance system" is a function that provides route guidance during travel in conjunction with an automated transportation system.

[0334] To realize this application, the server constructs a system consisting of multiple means. First, the user registers personal travel-related information via an input means. This includes the purpose and interests of the trip. The server receives this information and, through a management means, combines it with other travel data to build a comprehensive database. This database includes destination information, transportation information, accommodation information, event information, and more.

[0335] The analysis system analyzes individual travel needs based on user input and automatically generates an optimized travel plan. This generation process utilizes a generation AI model and takes into account the user's profile and past travel history. The automatically generated plan is presented to the user via a presentation and adjustment system and readjusted based on user feedback. Once the user approves the travel plan, the processing system automatically outputs a confirmation including booking information and sends it to the user.

[0336] Furthermore, the service will provide users with up-to-date weather information, traffic conditions, and local event information throughout their trip, helping to enhance the quality of their travel. The route guidance system will also work in conjunction with automated transportation systems to ensure safe and efficient route guidance during their journey.

[0337] For example, if a user requests to enjoy a scenic drive during a trip using an autonomous vehicle, the route guidance system will suggest the optimal driving route based on real-time traffic information and weather data. It will also dynamically suggest sightseeing spots and points of interest along the way.

[0338] (Prompt message to the generating AI)

[0339] "Please generate a travel plan that meets the following conditions: Hiking and nature observation, relaxation-oriented, quiet and scenic area. Duration: 3 days."

[0340] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0341] Step 1:

[0342] Users input their travel preferences, purpose, and basic personal information through their device. The entered data is transmitted to the server via the input method. This information is stored in the server's management system and used as basic data for travel planning.

[0343] Step 2:

[0344] The server stores the collected data in a centralized database and maintains it by combining it with destination information, transportation information, accommodation information, etc., using management tools. In this process, data processing such as organization, updating, and deduplication is performed to keep the database clean.

[0345] Step 3:

[0346] The server uses analytical tools to analyze individual travel needs from user data and registration information. Machine learning algorithms are used in the analysis to extract trends based on the user's past travel history and current preferences, and to build profiles for use in the next step.

[0347] Step 4:

[0348] Using a generative AI model, the planning method automatically generates the optimal travel plan that matches the user's profile. This model suggests destinations, adjusts dates, sets recommended routes, and creates the most satisfying plan through a predictive model.

[0349] Step 5:

[0350] The generated travel plan is presented to the user via their terminal using a presentation and adjustment mechanism. The user reviews the plan and provides feedback with any requested revisions or additions. This information is then sent back to the server and used as reference in the next step.

[0351] Step 6:

[0352] The server incorporates feedback into the plan and readjusts the plan using planning tools. It analyzes the feedback information, performs recalculations and adjustments, and finalizes the plan.

[0353] Step 7:

[0354] Once the user approves their confirmed travel plan, the server's processing system automatically makes reservations for the relevant travel services. After the reservation process is complete, the user is notified of the reservation completion.

[0355] Step 8:

[0356] During your trip, the service will send real-time updates (weather, events, traffic information) to your device and support smart travel using route guidance. It will also work in conjunction with autonomous vehicles to ensure safe and efficient routes.

[0357] 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.

[0358] This invention relates to a travel planning support system that incorporates an emotion engine to recognize user emotions. The system aims to improve the accuracy of travel planning and user satisfaction by incorporating emotional data in order to make the user's travel experience more personal and satisfying.

[0359] First, users input their travel purpose, interests, and individual emotional state using a terminal, and register this information in the system through an information registration method. The terminal utilizes an emotion engine to analyze the user's emotions at the time of input. This allows for a clearer understanding of the nuances of their expectations and hopes regarding their travel plan.

[0360] Subsequently, the device transmits emotion-related data to the server using a communication interface. The server, through data management mechanisms, stores this emotion data in a database along with general travel data. This database includes adjustment information based on the optimal travel destination, activities, and accompanying members, tailored to the mood.

[0361] The server uses needs analysis tools to analyze user information, including emotional data, and identify individual needs. Based on this analysis, the process of generating an optimal travel plan is initiated. The plan generation tool customizes the travel plan to match the user's current emotional state and suggests activities that take emotional changes into account. For example, if the user is seeking relaxation, adjustments such as including quiet places as destinations are made.

[0362] The generated travel plan is presented to the user via their device, and the user reviews the plan and provides further feedback by evaluating its emotional fit. This feedback is sent back to the server, where the travel plan is re-evaluated through plan presentation and adjustment mechanisms. The server utilizes the evaluation feedback mechanisms to further improve the emotional engine based on user feedback and incorporates it into future plan generation.

[0363] Once a trip is confirmed, various services are automatically booked through the booking system, and information that might influence emotions, such as upcoming events or seasonal changes at the destination, is provided to the user as it becomes available. Throughout the trip, the server continues to gather user feedback using an emotion engine to improve the travel experience.

[0364] For example, if a user is perceived as being in an active emotional state seeking adventure, the server will suggest a plan that includes rugged terrain and entertainment-filled destinations. If feedback during the trip indicates that the user wished for more relaxation, the system will suggest changes to activities that include relaxation. This system allows users to enjoy a travel experience that best matches their emotions at that time.

[0365] The following describes the processing flow.

[0366] Step 1:

[0367] The user uses the device to input information such as the purpose of their trip, the experiences they expect, and their current emotional state. As they input this information, the device analyzes the user's emotions through an emotion engine and collects the data.

[0368] Step 2:

[0369] The terminal transmits data entered by the user and emotional information acquired by the emotion engine to the server via a communication interface.

[0370] Step 3:

[0371] The server registers the received user information in a database using a data management system. This includes emotional data and related travel preferences.

[0372] Step 4:

[0373] The server uses needs analysis tools to specifically analyze the user's emotional data and associated requests, thereby identifying individual travel needs.

[0374] Step 5:

[0375] The server uses a plan generation mechanism to consider emotional data and generate a travel plan optimized for the user's current mood. If the user is feeling adventurous, a plan including active activities will be selected.

[0376] Step 6:

[0377] The generated travel plan is sent to the device and presented to the user. The user reviews the plan, evaluates whether it is emotionally suitable, and enters feedback on the device.

[0378] Step 7:

[0379] The terminal collects user feedback and sends it to the server via a communication interface. The server uses plan presentation and adjustment mechanisms to incorporate the feedback and adjust the plan.

[0380] Step 8:

[0381] Once the user approves the final plan, the server automatically processes the booking for the travel service using the booking processing mechanism and sends a completion notification to the user's device.

[0382] Step 9:

[0383] During the trip, the server uses an emotion engine to continuously obtain emotional feedback from the user and provides necessary information and support based on that feedback.

[0384] Step 10:

[0385] After the trip ends, the server analyzes the user's feedback from the entire journey using an evaluation feedback system and uses it to improve the emotion engine and the travel plan generation process.

[0386] (Example 2)

[0387] 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".

[0388] Traditional travel planning systems offer fixed plans without considering the user's emotions, making it difficult to provide an optimal travel experience tailored to individual emotional states. Furthermore, they fail to effectively utilize user feedback, hindering plan improvement and increased satisfaction.

[0389] 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.

[0390] In this invention, the server includes data input means for receiving and registering individually relevant information, emotion analysis means for analyzing emotion data and identifying individual requests based on emotional states, and plan generation means for automatically generating travel plans optimized for the user's emotional state using a generative model. This makes it possible to provide a flexible and personalized travel experience based on the user's emotions.

[0391] "Data input means" refers to devices or methods for receiving and registering individually related information.

[0392] A "data control system" is a mechanism for collecting and managing information in order to form a comprehensive data set.

[0393] "Emotional analysis means" refers to the process of analyzing a user's emotional data and identifying individual requests based on their emotional state.

[0394] "Plan generation method" refers to a technology that uses a generative model to automatically generate travel plans optimized for the user's emotional state.

[0395] "Plan presentation and adjustment mechanism" refers to a mechanism that presents a generated travel plan to the user, receives feedback, and readjusts the plan.

[0396] A "reservation management system" is a function that outputs confirmations containing reservation information and manages the reservation process.

[0397] "Information provision means" refers to methods and means for providing users with the latest information and support.

[0398] "Communication-related means" refers to technical methods or devices for exchanging information.

[0399] The "evaluation feedback mechanism" is a function that collects evaluations of the generated travel plans and uses them in information analysis to improve the generative model.

[0400] This invention is a system that analyzes a user's emotions and provides a personalized travel plan based on that analysis. The user inputs their travel purpose, interests, and emotional state using a terminal. The terminal is equipped with an emotion engine that analyzes the user's emotions from the input data. The emotion engine is natural language processing software that analyzes the user's text input in real time.

[0401] After the user completes input, the terminal sends the analyzed data to the server using a communication interface. The server stores and manages this data using an SQL database. The information held as a data management tool is processed by a generative AI model to analyze individual travel needs.

[0402] The server uses a generative AI model to generate appropriate travel plans based on sentiment analysis results. The AI ​​model is pre-trained and capable of generating a variety of travel plans. An example of a prompt is, "The user is seeking relaxation, so suggest a plan that includes a quiet beach resort."

[0403] The generated travel plan is transmitted to the terminal via a communication interface and presented to the user. The user reviews the travel plan, evaluates its suitability, and provides feedback. The evaluated feedback is sent back to the server, which uses this information to improve the travel plan. In this way, a travel experience that best suits the user's feelings is provided.

[0404] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0405] Step 1:

[0406] The user uses a device to input their travel purpose, interests, and emotional state. Text-based information is used as input. The device utilizes an emotion engine to analyze the user's emotions from the input data. Specifically, natural language processing techniques are used to extract emotional keywords such as "want to relax" and "seek adventure." The output is the analyzed emotional state.

[0407] Step 2:

[0408] The terminal uses a communication interface to send analysis results and user input information to the server. Specifically, it bundles data into packets and transfers them to the server via a network protocol. The input is a set of analysis results and raw data, and the output is a notification to the server that the transfer is complete.

[0409] Step 3:

[0410] The server stores the received data in an SQL database. Using data control mechanisms, SQL queries are constructed to ensure the received data is stored correctly. The input consists of user sentiment data and input information, while the output is the information stored in the database.

[0411] Step 4:

[0412] The server utilizes a generative AI model to create personalized travel plans based on sentiment data stored in a database. This process generates prompts, which are then input into the AI ​​model. Prompts such as "Suggest the best travel destination based on your emotional state" are used. The input is the analyzed emotional state, and the output is the travel plan generated by the AI ​​model.

[0413] Step 5:

[0414] The server sends the generated travel plan to the terminal. Here, the data is reformatted and encoded, and then transferred using the communication interface. The input is the travel plan generated by the AI ​​model, and the output is a notification that the plan data has been successfully sent to the terminal.

[0415] Step 6:

[0416] Users review the travel plans presented through their devices and provide feedback. Specifically, they evaluate the plans on the device screen and enter comments and requests. The input is user feedback information, and the output is a notification that the feedback data has been successfully sent back to the server.

[0417] Step 7:

[0418] The server analyzes user feedback using evaluation feedback mechanisms and readjusts the travel plan as needed. It analyzes feedback data and modifies the plan based on the results. The input is feedback information, and the output is the revised travel plan.

[0419] (Application Example 2)

[0420] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0421] In today's work environment, there is a demand for work adjustments and efficiency improvements based on employees' emotional states. However, traditional systems have difficulty adjusting work schedules to take employees' emotions into account. As a result, it is not possible to provide efficient work schedules or improve work quality.

[0422] 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.

[0423] In this invention, the server includes data collection means for receiving and registering information related to an individual, emotion analysis means for analyzing the user's emotional state and proposing a work plan corresponding to that emotion, and schedule adjustment means for dynamically adjusting the work schedule based on the analysis results. This makes it possible to propose an appropriate work plan according to the emotional state of an employee and to dynamically adjust it.

[0424] "Data collection means" refers to devices or programs used to receive and register information related to an individual.

[0425] "Data management means" refers to devices or programs that collect and manage data in order to create a comprehensive database.

[0426] "Needs analysis tools" are devices or programs used to analyze individual needs based on user information.

[0427] A "plan generation means" refers to a device or program that automatically generates a plan optimized for the user using a generation model.

[0428] "Plan presentation and adjustment means" refers to devices or programs that present a generated plan to the user and allow for readjustment of the plan based on feedback.

[0429] A "reservation processing means" refers to a device or program for outputting a confirmation containing reservation information.

[0430] "Information provision means" refers to devices or programs that provide users with the latest information and support.

[0431] "Emotional analysis tools" are devices or programs that analyze a user's emotional state and propose a work plan that corresponds to that emotion.

[0432] A "schedule adjustment means" refers to a device or program for dynamically adjusting the work schedule based on the analysis results.

[0433] In order to implement this invention, the server, terminal, and user must cooperate to operate the system.

[0434] First, the terminal registers personal input information using data collection methods. The terminal is a smartphone or tablet device that provides an interface for the user to input emotional information and preferences regarding work. In this process, Microsoft Azure's Emotion API is used for emotion analysis.

[0435] Next, the server uses data management tools to store the received information in a database. The server uses the Django framework with Python in a cloud environment, and PostgreSQL is used for data management. In this way, a comprehensive database is built.

[0436] The server uses needs analysis tools to analyze individual user needs based on their emotional information. Based on the analyzed information, an emotional analysis tool proposes a work plan optimized for that emotion.

[0437] Subsequently, the scheduling mechanism dynamically modifies the work schedule based on the analysis results. This process utilizes a generative model to generate a plan optimized for the user. This generated plan is then fed back to the user in real time using Azure Notification Hub.

[0438] To give a concrete example, when an employee working at a logistics center reports work-related stress via an app, the system can analyze it, suggest tasks that are more relaxing for the employee, and adjust their schedule accordingly. In this way, providing flexible work plans tailored to individual emotions improves both work efficiency and employee satisfaction.

[0439] By utilizing a generative AI model, the system continuously provides the best work plan tailored to each employee's state. An example of a prompt might be, "Based on the employee's emotional state, which work plan is optimal?" In this way, the system operates efficiently and flexibly.

[0440] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0441] Step 1:

[0442] Users input personal and emotional information using their devices. The entered data is temporarily stored on the device and organized in a structured format through data collection methods. This information includes emotional data, which may be collected through user facial recognition or text input.

[0443] Step 2:

[0444] The terminal sends information to the server. Using communication methods, the terminal transfers the collected information to a server in the cloud. The server stores the received data using data management methods and simultaneously performs data quality checks. As an ongoing job, it verifies that the data is complete and generates an alert if there are any missing values.

[0445] Step 3:

[0446] The server uses needs analysis tools to analyze user information and sentiment data. Based on the input data, the server analyzes the target user's business needs and creates appropriate plan proposals accordingly. In this process, a generative AI model is used, and predictive analytics techniques identify options that meet the user's requirements.

[0447] Step 4:

[0448] The server uses emotion analysis to propose a work plan. Based on the analyzed data, the server constructs a work plan tailored to the user's current emotional state. At this stage, the emotional data is mapped to specific work characteristics, and the elements that should be prioritized at each stage are clarified. As a result, a schedule is generated that allows the user to work most efficiently.

[0449] Step 5:

[0450] The server dynamically adjusts the work schedule using scheduling tools. The proposed plan is automatically adjusted based on ongoing user feedback and real-time changes in the work environment. This dynamic adjustment is notified directly to the user using Azure Notification Hub. The newly generated schedule is displayed on the user's terminal and becomes ready to execute.

[0451] 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.

[0452] 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.

[0453] 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.

[0454] [Third Embodiment]

[0455] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0456] 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.

[0457] 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).

[0458] 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.

[0459] 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.

[0460] 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).

[0461] 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.

[0462] 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.

[0463] 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.

[0464] 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.

[0465] 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.

[0466] 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".

[0467] The present invention provides a system for efficiently formulating and executing travel plans for individual travelers. This system includes information registration means, data management means, needs analysis means, plan generation means, plan presentation and adjustment means, reservation processing means, information provision means, and a communication interface.

[0468] Users first register their travel preferences, interests, and personal information using an information registration system. This allows users to specify their travel purpose and desired experiences. Meanwhile, the server uses data management systems to collect various travel information from the internet and maintain a central database. This database includes destination information, transportation options, accommodations, and the latest event information.

[0469] Next, the user enters their specific travel preferences through the terminal. The terminal then transmits this information to the server via a communication interface. The server uses a needs analysis tool to analyze the user's preferences in detail and extract individual needs. Based on the analysis results, the server uses a plan generation tool to generate an optimized travel plan. This generation process utilizes AI technologies such as machine learning, and also takes into account the user's profile and past travel history.

[0470] The generated travel plan is sent to the device and presented to the user. The user reviews the plan and provides feedback as needed. This feedback is then sent back to the server, and the plan is readjusted through the plan presentation and adjustment mechanisms.

[0471] Once the user approves the plan, the server automatically executes the booking process for various travel services (accommodation, transportation, activities, etc.) using the booking processing mechanism. Upon completion of the booking, the user is notified of the details via their device.

[0472] In the period leading up to departure, the server uses information provision tools to provide users with the latest information on weather, traffic conditions, and local events at their destination. This allows users to prepare to enjoy their trip to the fullest. By providing such a high-quality service, it becomes possible to carry out complicated travel planning stress-free and efficiently.

[0473] As a concrete example, suppose a user desires a relaxing trip to a place where they can fully enjoy nature. In this case, the server incorporates major nature reserves and national parks both domestically and internationally, along with activities there (such as hiking and nature observation tours), into the plan and proposes the optimal route. Furthermore, based on user feedback, the content is adjusted to include local traditional cooking experiences and cultural events. During the trip, new event information and weather changes are notified to the device as they occur, allowing the user to enjoy their trip with peace of mind.

[0474] The following describes the processing flow.

[0475] Step 1:

[0476] Users use their devices to input their travel purpose, preferences, and personal information, and register this information in the system through a data registration method. This allows for the aggregation of individual needs, which will then be used to plan future trips.

[0477] Step 2:

[0478] The terminal sends the data entered by the user to the server via a communication interface. The server stores the received data in a database and updates the user's profile.

[0479] Step 3:

[0480] The server uses data management tools to collect the latest travel-related data from the internet. The collected data is added to a database and used to improve the accuracy of travel planning.

[0481] Step 4:

[0482] The user enters specific travel details (date, time, budget, destination, etc.) via their device. These details are then sent to the server via a communication interface.

[0483] Step 5:

[0484] The server uses needs analysis tools to analyze user input information and identify travel needs. This analysis takes into account the user's past activities and preferences.

[0485] Step 6:

[0486] The server utilizes a plan generation system to create an optimal travel plan based on the user's needs. AI technology is used in this process, and the suggested plan is customized to the user's preferences.

[0487] Step 7:

[0488] The terminal displays a travel plan generated by the server to the user. The user reviews the plan and, if necessary, inputs any changes or requests as feedback into the terminal.

[0489] Step 8:

[0490] The device sends feedback information to the server. The server readjusts the travel plan based on the received feedback using plan presentation and adjustment mechanisms.

[0491] Step 9:

[0492] Once a user approves a plan, they notify the server of their decision via their device. The server then automatically makes reservations for accommodation, transportation, and activities through a reservation processing system.

[0493] Step 10:

[0494] The server generates a booking confirmation notification and sends detailed information to the user's device. The user receives the booking confirmation via their device and can then confidently begin preparing for their trip.

[0495] Step 11:

[0496] Until the trip departs, the server uses information provision methods to continuously send weather information, local event information, and other relevant data to the user's terminal. Users can check this information on their terminal and proceed with their trip smoothly.

[0497] (Example 1)

[0498] 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."

[0499] Modern travelers find it difficult to create the most suitable travel plan from a vast amount of information, and they also need to receive timely and relevant information while traveling. Therefore, the automatic generation of efficient travel plans tailored to individual user needs and the provision of real-time information are key challenges.

[0500] 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.

[0501] In this invention, the server includes data registration means for receiving and recording information related to an individual; data management means for acquiring and systematically storing data; travel request evaluation means for evaluating individual travel requests based on the user's data; plan creation means for automatically creating a travel plan tailored to the user using generation technology; plan presentation and update means for showing the created travel plan to the user and updating the plan to reflect their feedback; reservation execution means for issuing reservation details; information provision means for providing the user with the latest information and assistance; and local information notification means for delivering local information during the trip in real time. As a result, users can easily formulate travel plans based on their individual needs and receive important information during their trip in a timely manner.

[0502] A "data registration method" is a function for accurately collecting and recording information related to an individual.

[0503] A "data management system" is a function that systematically stores acquired data and makes it accessible as needed.

[0504] A "travel request evaluation tool" is a function that is responsible for the process of analyzing and evaluating individual travel requests based on information provided by the user.

[0505] "Plan creation means" refers to a function that utilizes generation technology to automatically construct a travel plan optimized for the user.

[0506] The "plan presentation and updating mechanism" is a function that displays the travel plan created by the user and handles the process of readjusting the plan based on feedback.

[0507] A "reservation execution method" is a function that automatically performs the reservation procedure for services based on a travel plan and issues detailed information.

[0508] "Information provision means" refers to functions that provide users with the latest travel information and support details.

[0509] A "local information notification system" is a function that delivers important local information to users in real time while they are traveling.

[0510] The present invention is a system that automatically formulates travel plans optimized for individual user needs and provides information efficiently. This system mainly includes data registration means, data management means, travel request evaluation means, plan creation means, plan presentation and update means, reservation execution means, information provision means, and local information notification means.

[0511] Users first input personal information and travel preferences using a terminal. This information is then transmitted to the server via a data registration system. The server receives this data and stores it systematically using a data management system. The collected data is stored in a database and is regularly updated to ensure that the information is always up-to-date.

[0512] In the travel request evaluation system, the server uses AI technology, particularly machine learning and natural language processing, to analyze user preferences and past travel history and extract individual travel needs. This process utilizes a high-performance computer system to quickly process complex datasets.

[0513] In the planning process, the server uses a generative AI model to automatically generate a travel plan that takes into account the extracted needs. In this process, multiple tourist destinations and activities are efficiently combined to create an optimal schedule.

[0514] Once a travel plan is generated, it is sent to the device via a plan presentation and update mechanism. Users can review the plan and provide feedback. The server then readjusts and updates the plan based on this feedback.

[0515] Once the plan is approved, the server automatically makes reservations for the related services through the reservation execution mechanism. This process includes integration with APIs of external travel agencies.

[0516] Furthermore, the information provision system will provide users with important information before and during their trip. Specifically, this includes local weather, traffic conditions, and event information. This information will be notified to the device in real time and delivered to the user through local information notification systems.

[0517] As a concrete example, a user who wants to enjoy the natural environment can input their preference, and the server will create a relaxing travel plan that includes nature reserves and national parks. For instance, a prompt such as "The user wants a trip centered around outdoor activities; please generate a plan that includes appropriate tourist destinations and experiences" can be used. This allows for the user's travel experience to be as personalized as possible, resulting in a highly satisfying outcome.

[0518] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0519] Step 1:

[0520] Users input personal information and travel preferences using a terminal. This information includes the type of travel destination, activities, budget, and itinerary. The terminal sends the entered data to the server as a data registration method. During this process, the input data is converted to a standardized format before being sent to the server.

[0521] Step 2:

[0522] The server records user information received using data management tools in a central database. This data is stored while maintaining consistency because it will later be used to generate user travel plans. A duplicate check is performed against existing information in the database, and new information is added.

[0523] Step 3:

[0524] In response to user requests, the terminal inputs detailed travel preferences. Specifically, this includes desired travel experiences and requests for specific dates. The terminal transmits this information to the server via a communication interface, providing the server with input for analysis.

[0525] Step 4:

[0526] The server analyzes travel details received from the communication interface using a needs analysis tool. Using machine learning algorithms, it matches user needs with other user information in the database to identify similar travel patterns. This process extracts individual needs and generates analysis results.

[0527] Step 5:

[0528] Based on the analysis results, the server automatically generates a travel plan using its planning tools. Utilizing a generation AI model, it designs an optimal plan tailored to the user's profile. This output is presented as a list of suggested destinations, schedules, and activities.

[0529] Step 6:

[0530] The server sends the generated travel plan to the terminal and presents it to the user. The plan includes itinerary, destinations, and accommodation information, which the user reviews. The user provides feedback from the terminal, and the server receives this feedback through the plan presentation and update mechanisms.

[0531] Step 7:

[0532] The server readjusts and provides an updated travel plan based on user feedback. Here, the AI ​​model modifies the plan, taking into account newly added user requests. The output of this step is the final plan reflecting the feedback.

[0533] Step 8:

[0534] After the final plan is confirmed, the server executes the booking of the necessary services through the booking execution mechanism. This booking includes accommodation, transportation, and activities, and booking confirmation information is generated as output and sent to the terminal.

[0535] Step 9:

[0536] Before and during a trip, the server provides users with the latest information using information delivery systems. This includes real-time notifications of local weather, event information, and traffic conditions, which are handled by local information notification systems. Users receive this information on their devices and adjust their trip accordingly.

[0537] (Application Example 1)

[0538] 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."

[0539] When planning a trip, it is difficult to quickly and efficiently create the optimal travel plan while addressing the diverse needs of individual travelers. Furthermore, providing appropriate guidance in real time in response to changing circumstances during the trip is required, but doing so manually is time-consuming and inefficient. Therefore, an automated system is needed to solve these problems.

[0540] 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.

[0541] In this invention, the server includes input means for receiving and registering information related to an individual, management means for collecting and managing data to create a comprehensive database, and analysis means for analyzing individual travel needs based on the user's information. This enables the automatic creation of an optimal travel plan for the user and route guidance during the trip.

[0542] An "input method" is a function for receiving and registering information related to an individual.

[0543] "Management means" refers to functions for collecting data and creating and maintaining a comprehensive database.

[0544] "Analysis tools" refer to functions for analyzing individual travel needs based on user information.

[0545] The "plan creation method" refers to a function that uses a generative model to automatically generate a travel plan optimized for the user.

[0546] The "presentation and adjustment means" is a function that presents the generated travel plan to the user and readjusts the plan based on their feedback.

[0547] The "processing means" refers to a function for outputting confirmation information, including reservation details.

[0548] "Means of provision" refers to functions that provide users with the latest information and support.

[0549] A "route guidance system" is a function that provides route guidance during travel in conjunction with an automated transportation system.

[0550] To realize this application, the server constructs a system consisting of multiple means. First, the user registers personal travel-related information via an input means. This includes the purpose and interests of the trip. The server receives this information and, through a management means, combines it with other travel data to build a comprehensive database. This database includes destination information, transportation information, accommodation information, event information, and more.

[0551] The analysis system analyzes individual travel needs based on user input and automatically generates an optimized travel plan. This generation process utilizes a generation AI model and takes into account the user's profile and past travel history. The automatically generated plan is presented to the user via a presentation and adjustment system and readjusted based on user feedback. Once the user approves the travel plan, the processing system automatically outputs a confirmation including booking information and sends it to the user.

[0552] Furthermore, the service will provide users with up-to-date weather information, traffic conditions, and local event information throughout their trip, helping to enhance the quality of their travel. The route guidance system will also work in conjunction with automated transportation systems to ensure safe and efficient route guidance during their journey.

[0553] For example, if a user requests to enjoy a scenic drive during a trip using an autonomous vehicle, the route guidance system will suggest the optimal driving route based on real-time traffic information and weather data. It will also dynamically suggest sightseeing spots and points of interest along the way.

[0554] (Prompt message to the generating AI)

[0555] "Please generate a travel plan that meets the following conditions: Hiking and nature observation, relaxation-oriented, quiet and scenic area. Duration: 3 days."

[0556] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0557] Step 1:

[0558] Users input their travel preferences, purpose, and basic personal information through their device. The entered data is transmitted to the server via the input method. This information is stored in the server's management system and used as basic data for travel planning.

[0559] Step 2:

[0560] The server stores the collected data in a centralized database and maintains it by combining it with destination information, transportation information, accommodation information, etc., using management tools. In this process, data processing such as organization, updating, and deduplication is performed to keep the database clean.

[0561] Step 3:

[0562] The server uses analytical tools to analyze individual travel needs from user data and registration information. Machine learning algorithms are used in the analysis to extract trends based on the user's past travel history and current preferences, and to build profiles for use in the next step.

[0563] Step 4:

[0564] Using a generative AI model, the planning method automatically generates the optimal travel plan that matches the user's profile. This model suggests destinations, adjusts dates, sets recommended routes, and creates the most satisfying plan through a predictive model.

[0565] Step 5:

[0566] The generated travel plan is presented to the user via their terminal using a presentation and adjustment mechanism. The user reviews the plan and provides feedback with any requested revisions or additions. This information is then sent back to the server and used as reference in the next step.

[0567] Step 6:

[0568] The server incorporates feedback into the plan and readjusts the plan using planning tools. It analyzes the feedback information, performs recalculations and adjustments, and finalizes the plan.

[0569] Step 7:

[0570] Once the user approves their confirmed travel plan, the server's processing system automatically makes reservations for the relevant travel services. After the reservation process is complete, the user is notified of the reservation completion.

[0571] Step 8:

[0572] During your trip, the service will send real-time updates (weather, events, traffic information) to your device and support smart travel using route guidance. It will also work in conjunction with autonomous vehicles to ensure safe and efficient routes.

[0573] 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.

[0574] This invention relates to a travel planning support system that incorporates an emotion engine to recognize user emotions. The system aims to improve the accuracy of travel planning and user satisfaction by incorporating emotional data in order to make the user's travel experience more personal and satisfying.

[0575] First, users input their travel purpose, interests, and individual emotional state using a terminal, and register this information in the system through an information registration method. The terminal utilizes an emotion engine to analyze the user's emotions at the time of input. This allows for a clearer understanding of the nuances of their expectations and hopes regarding their travel plan.

[0576] Subsequently, the device transmits emotion-related data to the server using a communication interface. The server, through data management mechanisms, stores this emotion data in a database along with general travel data. This database includes adjustment information based on the optimal travel destination, activities, and accompanying members, tailored to the mood.

[0577] The server uses needs analysis tools to analyze user information, including emotional data, and identify individual needs. Based on this analysis, the process of generating an optimal travel plan is initiated. The plan generation tool customizes the travel plan to match the user's current emotional state and suggests activities that take emotional changes into account. For example, if the user is seeking relaxation, adjustments such as including quiet places as destinations are made.

[0578] The generated travel plan is presented to the user via their device, and the user reviews the plan and provides further feedback by evaluating its emotional fit. This feedback is sent back to the server, where the travel plan is re-evaluated through plan presentation and adjustment mechanisms. The server utilizes the evaluation feedback mechanisms to further improve the emotional engine based on user feedback and incorporates it into future plan generation.

[0579] Once a trip is confirmed, various services are automatically booked through the booking system, and information that might influence emotions, such as upcoming events or seasonal changes at the destination, is provided to the user as it becomes available. Throughout the trip, the server continues to gather user feedback using an emotion engine to improve the travel experience.

[0580] For example, if a user is perceived as being in an active emotional state seeking adventure, the server will suggest a plan that includes rugged terrain and entertainment-filled destinations. If feedback during the trip indicates that the user wished for more relaxation, the system will suggest changes to activities that include relaxation. This system allows users to enjoy a travel experience that best matches their emotions at that time.

[0581] The following describes the processing flow.

[0582] Step 1:

[0583] The user uses the device to input information such as the purpose of their trip, the experiences they expect, and their current emotional state. As they input this information, the device analyzes the user's emotions through an emotion engine and collects the data.

[0584] Step 2:

[0585] The terminal transmits data entered by the user and emotional information acquired by the emotion engine to the server via a communication interface.

[0586] Step 3:

[0587] The server registers the received user information in a database using a data management system. This includes emotional data and related travel preferences.

[0588] Step 4:

[0589] The server uses needs analysis tools to specifically analyze the user's emotional data and associated requests, thereby identifying individual travel needs.

[0590] Step 5:

[0591] The server uses a plan generation mechanism to consider emotional data and generate a travel plan optimized for the user's current mood. If the user is feeling adventurous, a plan including active activities will be selected.

[0592] Step 6:

[0593] The generated travel plan is sent to the device and presented to the user. The user reviews the plan, evaluates whether it is emotionally suitable, and enters feedback on the device.

[0594] Step 7:

[0595] The terminal collects user feedback and sends it to the server via a communication interface. The server uses plan presentation and adjustment mechanisms to incorporate the feedback and adjust the plan.

[0596] Step 8:

[0597] Once the user approves the final plan, the server automatically processes the booking for the travel service using the booking processing mechanism and sends a completion notification to the user's device.

[0598] Step 9:

[0599] During the trip, the server uses an emotion engine to continuously obtain emotional feedback from the user and provides necessary information and support based on that feedback.

[0600] Step 10:

[0601] After the trip ends, the server analyzes the user's feedback from the entire journey using an evaluation feedback system and uses it to improve the emotion engine and the travel plan generation process.

[0602] (Example 2)

[0603] 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."

[0604] Traditional travel planning systems offer fixed plans without considering the user's emotions, making it difficult to provide an optimal travel experience tailored to individual emotional states. Furthermore, they fail to effectively utilize user feedback, hindering plan improvement and increased satisfaction.

[0605] 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.

[0606] In this invention, the server includes data input means for receiving and registering individually relevant information, emotion analysis means for analyzing emotion data and identifying individual requests based on emotional states, and plan generation means for automatically generating travel plans optimized for the user's emotional state using a generative model. This makes it possible to provide a flexible and personalized travel experience based on the user's emotions.

[0607] "Data input means" refers to devices or methods for receiving and registering individually related information.

[0608] A "data control system" is a mechanism for collecting and managing information in order to form a comprehensive data set.

[0609] "Emotional analysis means" refers to the process of analyzing a user's emotional data and identifying individual requests based on their emotional state.

[0610] "Plan generation method" refers to a technology that uses a generative model to automatically generate travel plans optimized for the user's emotional state.

[0611] "Plan presentation and adjustment mechanism" refers to a mechanism that presents a generated travel plan to the user, receives feedback, and readjusts the plan.

[0612] A "reservation management system" is a function that outputs confirmations containing reservation information and manages the reservation process.

[0613] "Information provision means" refers to methods and means for providing users with the latest information and support.

[0614] "Communication-related means" refers to technical methods or devices for exchanging information.

[0615] The "evaluation feedback mechanism" is a function that collects evaluations of the generated travel plans and uses them in information analysis to improve the generative model.

[0616] This invention is a system that analyzes a user's emotions and provides a personalized travel plan based on that analysis. The user inputs their travel purpose, interests, and emotional state using a terminal. The terminal is equipped with an emotion engine that analyzes the user's emotions from the input data. The emotion engine is natural language processing software that analyzes the user's text input in real time.

[0617] After the user completes input, the terminal sends the analyzed data to the server using a communication interface. The server stores and manages this data using an SQL database. The information held as a data management tool is processed by a generative AI model to analyze individual travel needs.

[0618] The server uses a generative AI model to generate appropriate travel plans based on sentiment analysis results. The AI ​​model is pre-trained and capable of generating a variety of travel plans. An example of a prompt is, "The user is seeking relaxation, so suggest a plan that includes a quiet beach resort."

[0619] The generated travel plan is transmitted to the terminal via a communication interface and presented to the user. The user reviews the travel plan, evaluates its suitability, and provides feedback. The evaluated feedback is sent back to the server, which uses this information to improve the travel plan. In this way, a travel experience that best suits the user's feelings is provided.

[0620] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0621] Step 1:

[0622] The user uses a device to input their travel purpose, interests, and emotional state. Text-based information is used as input. The device utilizes an emotion engine to analyze the user's emotions from the input data. Specifically, natural language processing techniques are used to extract emotional keywords such as "want to relax" and "seek adventure." The output is the analyzed emotional state.

[0623] Step 2:

[0624] The terminal uses a communication interface to send analysis results and user input information to the server. Specifically, it bundles data into packets and transfers them to the server via a network protocol. The input is a set of analysis results and raw data, and the output is a notification to the server that the transfer is complete.

[0625] Step 3:

[0626] The server stores the received data in an SQL database. Using data control mechanisms, SQL queries are constructed to ensure the received data is stored correctly. The input consists of user sentiment data and input information, while the output is the information stored in the database.

[0627] Step 4:

[0628] The server utilizes a generative AI model to create personalized travel plans based on sentiment data stored in a database. This process generates prompts, which are then input into the AI ​​model. Prompts such as "Suggest the best travel destination based on your emotional state" are used. The input is the analyzed emotional state, and the output is the travel plan generated by the AI ​​model.

[0629] Step 5:

[0630] The server sends the generated travel plan to the terminal. Here, the data is reformatted and encoded, and then transferred using the communication interface. The input is the travel plan generated by the AI ​​model, and the output is a notification that the plan data has been successfully sent to the terminal.

[0631] Step 6:

[0632] Users review the travel plans presented through their devices and provide feedback. Specifically, they evaluate the plans on the device screen and enter comments and requests. The input is user feedback information, and the output is a notification that the feedback data has been successfully sent back to the server.

[0633] Step 7:

[0634] The server analyzes user feedback using evaluation feedback mechanisms and readjusts the travel plan as needed. It analyzes feedback data and modifies the plan based on the results. The input is feedback information, and the output is the revised travel plan.

[0635] (Application Example 2)

[0636] 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."

[0637] In today's work environment, there is a demand for work adjustments and efficiency improvements based on employees' emotional states. However, traditional systems have difficulty adjusting work schedules to take employees' emotions into account. As a result, it is not possible to provide efficient work schedules or improve work quality.

[0638] 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.

[0639] In this invention, the server includes data collection means for receiving and registering information related to an individual, emotion analysis means for analyzing the user's emotional state and proposing a work plan corresponding to that emotion, and schedule adjustment means for dynamically adjusting the work schedule based on the analysis results. This makes it possible to propose an appropriate work plan according to the emotional state of an employee and to dynamically adjust it.

[0640] "Data collection means" refers to devices or programs used to receive and register information related to an individual.

[0641] "Data management means" refers to devices or programs that collect and manage data in order to create a comprehensive database.

[0642] "Needs analysis tools" are devices or programs used to analyze individual needs based on user information.

[0643] A "plan generation means" refers to a device or program that automatically generates a plan optimized for the user using a generation model.

[0644] "Plan presentation and adjustment means" refers to devices or programs that present a generated plan to the user and allow for readjustment of the plan based on feedback.

[0645] A "reservation processing means" refers to a device or program for outputting a confirmation containing reservation information.

[0646] "Information provision means" refers to devices or programs that provide users with the latest information and support.

[0647] "Emotional analysis tools" are devices or programs that analyze a user's emotional state and propose a work plan that corresponds to that emotion.

[0648] A "schedule adjustment means" refers to a device or program for dynamically adjusting the work schedule based on the analysis results.

[0649] In order to implement this invention, the server, terminal, and user must cooperate to operate the system.

[0650] First, the terminal registers personal input information using data collection methods. The terminal is a smartphone or tablet device that provides an interface for the user to input emotional information and preferences regarding work. In this process, Microsoft Azure's Emotion API is used for emotion analysis.

[0651] Next, the server uses data management tools to store the received information in a database. The server uses the Django framework with Python in a cloud environment, and PostgreSQL is used for data management. In this way, a comprehensive database is built.

[0652] The server uses needs analysis tools to analyze individual user needs based on their emotional information. Based on the analyzed information, an emotional analysis tool proposes a work plan optimized for that emotion.

[0653] Subsequently, the scheduling mechanism dynamically modifies the work schedule based on the analysis results. This process utilizes a generative model to generate a plan optimized for the user. This generated plan is then fed back to the user in real time using Azure Notification Hub.

[0654] To give a concrete example, when an employee working at a logistics center reports work-related stress via an app, the system can analyze it, suggest tasks that are more relaxing for the employee, and adjust their schedule accordingly. In this way, providing flexible work plans tailored to individual emotions improves both work efficiency and employee satisfaction.

[0655] By utilizing a generative AI model, the system continuously provides the best work plan tailored to each employee's state. An example of a prompt might be, "Based on the employee's emotional state, which work plan is optimal?" In this way, the system operates efficiently and flexibly.

[0656] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0657] Step 1:

[0658] Users input personal and emotional information using their devices. The entered data is temporarily stored on the device and organized in a structured format through data collection methods. This information includes emotional data, which may be collected through user facial recognition or text input.

[0659] Step 2:

[0660] The terminal sends information to the server. Using communication methods, the terminal transfers the collected information to a server in the cloud. The server stores the received data using data management methods and simultaneously performs data quality checks. As an ongoing job, it verifies that the data is complete and generates an alert if there are any missing values.

[0661] Step 3:

[0662] The server uses needs analysis tools to analyze user information and sentiment data. Based on the input data, the server analyzes the target user's business needs and creates appropriate plan proposals accordingly. In this process, a generative AI model is used, and predictive analytics techniques identify options that meet the user's requirements.

[0663] Step 4:

[0664] The server uses emotion analysis to propose a work plan. Based on the analyzed data, the server constructs a work plan tailored to the user's current emotional state. At this stage, the emotional data is mapped to specific work characteristics, and the elements that should be prioritized at each stage are clarified. As a result, a schedule is generated that allows the user to work most efficiently.

[0665] Step 5:

[0666] The server dynamically adjusts the work schedule using scheduling tools. The proposed plan is automatically adjusted based on ongoing user feedback and real-time changes in the work environment. This dynamic adjustment is notified directly to the user using Azure Notification Hub. The newly generated schedule is displayed on the user's terminal and becomes ready to execute.

[0667] 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.

[0668] 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.

[0669] 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.

[0670] [Fourth Embodiment]

[0671] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0672] 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.

[0673] 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).

[0674] 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.

[0675] 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.

[0676] 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).

[0677] 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.

[0678] 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.

[0679] 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.

[0680] 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.

[0681] 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.

[0682] 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.

[0683] 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".

[0684] The present invention provides a system for efficiently formulating and executing travel plans for individual travelers. This system includes information registration means, data management means, needs analysis means, plan generation means, plan presentation and adjustment means, reservation processing means, information provision means, and a communication interface.

[0685] Users first register their travel preferences, interests, and personal information using an information registration system. This allows users to specify their travel purpose and desired experiences. Meanwhile, the server uses data management systems to collect various travel information from the internet and maintain a central database. This database includes destination information, transportation options, accommodations, and the latest event information.

[0686] Next, the user enters their specific travel preferences through the terminal. The terminal then transmits this information to the server via a communication interface. The server uses a needs analysis tool to analyze the user's preferences in detail and extract individual needs. Based on the analysis results, the server uses a plan generation tool to generate an optimized travel plan. This generation process utilizes AI technologies such as machine learning, and also takes into account the user's profile and past travel history.

[0687] The generated travel plan is sent to the device and presented to the user. The user reviews the plan and provides feedback as needed. This feedback is then sent back to the server, and the plan is readjusted through the plan presentation and adjustment mechanisms.

[0688] Once the user approves the plan, the server automatically executes the booking process for various travel services (accommodation, transportation, activities, etc.) using the booking processing mechanism. Upon completion of the booking, the user is notified of the details via their device.

[0689] In the period leading up to departure, the server uses information provision tools to provide users with the latest information on weather, traffic conditions, and local events at their destination. This allows users to prepare to enjoy their trip to the fullest. By providing such a high-quality service, it becomes possible to carry out complicated travel planning stress-free and efficiently.

[0690] As a concrete example, suppose a user desires a relaxing trip to a place where they can fully enjoy nature. In this case, the server incorporates major nature reserves and national parks both domestically and internationally, along with activities there (such as hiking and nature observation tours), into the plan and proposes the optimal route. Furthermore, based on user feedback, the content is adjusted to include local traditional cooking experiences and cultural events. During the trip, new event information and weather changes are notified to the device as they occur, allowing the user to enjoy their trip with peace of mind.

[0691] The following describes the processing flow.

[0692] Step 1:

[0693] Users use their devices to input their travel purpose, preferences, and personal information, and register this information in the system through a data registration method. This allows for the aggregation of individual needs, which will then be used to plan future trips.

[0694] Step 2:

[0695] The terminal sends the data entered by the user to the server via a communication interface. The server stores the received data in a database and updates the user's profile.

[0696] Step 3:

[0697] The server uses data management tools to collect the latest travel-related data from the internet. The collected data is added to a database and used to improve the accuracy of travel planning.

[0698] Step 4:

[0699] The user enters specific travel details (date, time, budget, destination, etc.) via their device. These details are then sent to the server via a communication interface.

[0700] Step 5:

[0701] The server uses needs analysis tools to analyze user input information and identify travel needs. This analysis takes into account the user's past activities and preferences.

[0702] Step 6:

[0703] The server utilizes a plan generation system to create an optimal travel plan based on the user's needs. AI technology is used in this process, and the suggested plan is customized to the user's preferences.

[0704] Step 7:

[0705] The terminal displays a travel plan generated by the server to the user. The user reviews the plan and, if necessary, inputs any changes or requests as feedback into the terminal.

[0706] Step 8:

[0707] The device sends feedback information to the server. The server readjusts the travel plan based on the received feedback using plan presentation and adjustment mechanisms.

[0708] Step 9:

[0709] Once a user approves a plan, they notify the server of their decision via their device. The server then automatically makes reservations for accommodation, transportation, and activities through a reservation processing system.

[0710] Step 10:

[0711] The server generates a booking confirmation notification and sends detailed information to the user's device. The user receives the booking confirmation via their device and can then confidently begin preparing for their trip.

[0712] Step 11:

[0713] Until the trip departs, the server uses information provision methods to continuously send weather information, local event information, and other relevant data to the user's terminal. Users can check this information on their terminal and proceed with their trip smoothly.

[0714] (Example 1)

[0715] 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".

[0716] Modern travelers find it difficult to create the most suitable travel plan from a vast amount of information, and they also need to receive timely and relevant information while traveling. Therefore, the automatic generation of efficient travel plans tailored to individual user needs and the provision of real-time information are key challenges.

[0717] 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.

[0718] In this invention, the server includes data registration means for receiving and recording information related to an individual; data management means for acquiring and systematically storing data; travel request evaluation means for evaluating individual travel requests based on the user's data; plan creation means for automatically creating a travel plan tailored to the user using generation technology; plan presentation and update means for showing the created travel plan to the user and updating the plan to reflect their feedback; reservation execution means for issuing reservation details; information provision means for providing the user with the latest information and assistance; and local information notification means for delivering local information during the trip in real time. As a result, users can easily formulate travel plans based on their individual needs and receive important information during their trip in a timely manner.

[0719] A "data registration method" is a function for accurately collecting and recording information related to an individual.

[0720] A "data management system" is a function that systematically stores acquired data and makes it accessible as needed.

[0721] A "travel request evaluation tool" is a function that is responsible for the process of analyzing and evaluating individual travel requests based on information provided by the user.

[0722] "Plan creation means" refers to a function that utilizes generation technology to automatically construct a travel plan optimized for the user.

[0723] The "plan presentation and updating mechanism" is a function that displays the travel plan created by the user and handles the process of readjusting the plan based on feedback.

[0724] A "reservation execution method" is a function that automatically performs the reservation procedure for services based on a travel plan and issues detailed information.

[0725] "Information provision means" refers to functions that provide users with the latest travel information and support details.

[0726] A "local information notification system" is a function that delivers important local information to users in real time while they are traveling.

[0727] The present invention is a system that automatically formulates travel plans optimized for individual user needs and provides information efficiently. This system mainly includes data registration means, data management means, travel request evaluation means, plan creation means, plan presentation and update means, reservation execution means, information provision means, and local information notification means.

[0728] Users first input personal information and travel preferences using a terminal. This information is then transmitted to the server via a data registration system. The server receives this data and stores it systematically using a data management system. The collected data is stored in a database and is regularly updated to ensure that the information is always up-to-date.

[0729] In the travel request evaluation system, the server uses AI technology, particularly machine learning and natural language processing, to analyze user preferences and past travel history and extract individual travel needs. This process utilizes a high-performance computer system to quickly process complex datasets.

[0730] In the planning process, the server uses a generative AI model to automatically generate a travel plan that takes into account the extracted needs. In this process, multiple tourist destinations and activities are efficiently combined to create an optimal schedule.

[0731] Once a travel plan is generated, it is sent to the device via a plan presentation and update mechanism. Users can review the plan and provide feedback. The server then readjusts and updates the plan based on this feedback.

[0732] Once the plan is approved, the server automatically makes reservations for the related services through the reservation execution mechanism. This process includes integration with APIs of external travel agencies.

[0733] Furthermore, the information provision system will provide users with important information before and during their trip. Specifically, this includes local weather, traffic conditions, and event information. This information will be notified to the device in real time and delivered to the user through local information notification systems.

[0734] As a concrete example, a user who wants to enjoy the natural environment can input their preference, and the server will create a relaxing travel plan that includes nature reserves and national parks. For instance, a prompt such as "The user wants a trip centered around outdoor activities; please generate a plan that includes appropriate tourist destinations and experiences" can be used. This allows for the user's travel experience to be as personalized as possible, resulting in a highly satisfying outcome.

[0735] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0736] Step 1:

[0737] Users input personal information and travel preferences using a terminal. This information includes the type of travel destination, activities, budget, and itinerary. The terminal sends the entered data to the server as a data registration method. During this process, the input data is converted to a standardized format before being sent to the server.

[0738] Step 2:

[0739] The server records user information received using data management tools in a central database. This data is stored while maintaining consistency because it will later be used to generate user travel plans. A duplicate check is performed against existing information in the database, and new information is added.

[0740] Step 3:

[0741] In response to user requests, the terminal inputs detailed travel preferences. Specifically, this includes desired travel experiences and requests for specific dates. The terminal transmits this information to the server via a communication interface, providing the server with input for analysis.

[0742] Step 4:

[0743] The server analyzes travel details received from the communication interface using a needs analysis tool. Using machine learning algorithms, it matches user needs with other user information in the database to identify similar travel patterns. This process extracts individual needs and generates analysis results.

[0744] Step 5:

[0745] Based on the analysis results, the server automatically generates a travel plan using its planning tools. Utilizing a generation AI model, it designs an optimal plan tailored to the user's profile. This output is presented as a list of suggested destinations, schedules, and activities.

[0746] Step 6:

[0747] The server sends the generated travel plan to the terminal and presents it to the user. The plan includes itinerary, destinations, and accommodation information, which the user reviews. The user provides feedback from the terminal, and the server receives this feedback through the plan presentation and update mechanisms.

[0748] Step 7:

[0749] The server readjusts and provides an updated travel plan based on user feedback. Here, the AI ​​model modifies the plan, taking into account newly added user requests. The output of this step is the final plan reflecting the feedback.

[0750] Step 8:

[0751] After the final plan is confirmed, the server executes the booking of the necessary services through the booking execution mechanism. This booking includes accommodation, transportation, and activities, and booking confirmation information is generated as output and sent to the terminal.

[0752] Step 9:

[0753] Before and during a trip, the server provides users with the latest information using information delivery systems. This includes real-time notifications of local weather, event information, and traffic conditions, which are handled by local information notification systems. Users receive this information on their devices and adjust their trip accordingly.

[0754] (Application Example 1)

[0755] 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".

[0756] When planning a trip, it is difficult to quickly and efficiently create the optimal travel plan while addressing the diverse needs of individual travelers. Furthermore, providing appropriate guidance in real time in response to changing circumstances during the trip is required, but doing so manually is time-consuming and inefficient. Therefore, an automated system is needed to solve these problems.

[0757] 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.

[0758] In this invention, the server includes input means for receiving and registering information related to an individual, management means for collecting and managing data to create a comprehensive database, and analysis means for analyzing individual travel needs based on the user's information. This enables the automatic creation of an optimal travel plan for the user and route guidance during the trip.

[0759] An "input method" is a function for receiving and registering information related to an individual.

[0760] "Management means" refers to functions for collecting data and creating and maintaining a comprehensive database.

[0761] "Analysis tools" refer to functions for analyzing individual travel needs based on user information.

[0762] The "plan creation method" refers to a function that uses a generative model to automatically generate a travel plan optimized for the user.

[0763] The "presentation and adjustment means" is a function that presents the generated travel plan to the user and readjusts the plan based on their feedback.

[0764] The "processing means" refers to a function for outputting confirmation information, including reservation details.

[0765] "Means of provision" refers to functions that provide users with the latest information and support.

[0766] A "route guidance system" is a function that provides route guidance during travel in conjunction with an automated transportation system.

[0767] To realize this application, the server constructs a system consisting of multiple means. First, the user registers personal travel-related information via an input means. This includes the purpose and interests of the trip. The server receives this information and, through a management means, combines it with other travel data to build a comprehensive database. This database includes destination information, transportation information, accommodation information, event information, and more.

[0768] The analysis system analyzes individual travel needs based on user input and automatically generates an optimized travel plan. This generation process utilizes a generation AI model and takes into account the user's profile and past travel history. The automatically generated plan is presented to the user via a presentation and adjustment system and readjusted based on user feedback. Once the user approves the travel plan, the processing system automatically outputs a confirmation including booking information and sends it to the user.

[0769] Furthermore, the service will provide users with up-to-date weather information, traffic conditions, and local event information throughout their trip, helping to enhance the quality of their travel. The route guidance system will also work in conjunction with automated transportation systems to ensure safe and efficient route guidance during their journey.

[0770] For example, if a user requests to enjoy a scenic drive during a trip using an autonomous vehicle, the route guidance system will suggest the optimal driving route based on real-time traffic information and weather data. It will also dynamically suggest sightseeing spots and points of interest along the way.

[0771] (Prompt message to the generating AI)

[0772] "Please generate a travel plan that meets the following conditions: Hiking and nature observation, relaxation-oriented, quiet and scenic area. Duration: 3 days."

[0773] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0774] Step 1:

[0775] Users input their travel preferences, purpose, and basic personal information through their device. The entered data is transmitted to the server via the input method. This information is stored in the server's management system and used as basic data for travel planning.

[0776] Step 2:

[0777] The server stores the collected data in a centralized database and maintains it by combining it with destination information, transportation information, accommodation information, etc., using management tools. In this process, data processing such as organization, updating, and deduplication is performed to keep the database clean.

[0778] Step 3:

[0779] The server uses analytical tools to analyze individual travel needs from user data and registration information. Machine learning algorithms are used in the analysis to extract trends based on the user's past travel history and current preferences, and to build profiles for use in the next step.

[0780] Step 4:

[0781] Using a generative AI model, the planning method automatically generates the optimal travel plan that matches the user's profile. This model suggests destinations, adjusts dates, sets recommended routes, and creates the most satisfying plan through a predictive model.

[0782] Step 5:

[0783] The generated travel plan is presented to the user via their terminal using a presentation and adjustment mechanism. The user reviews the plan and provides feedback with any requested revisions or additions. This information is then sent back to the server and used as reference in the next step.

[0784] Step 6:

[0785] The server incorporates feedback into the plan and readjusts the plan using planning tools. It analyzes the feedback information, performs recalculations and adjustments, and finalizes the plan.

[0786] Step 7:

[0787] Once the user approves their confirmed travel plan, the server's processing system automatically makes reservations for the relevant travel services. After the reservation process is complete, the user is notified of the reservation completion.

[0788] Step 8:

[0789] During your trip, the service will send real-time updates (weather, events, traffic information) to your device and support smart travel using route guidance. It will also work in conjunction with autonomous vehicles to ensure safe and efficient routes.

[0790] 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.

[0791] This invention relates to a travel planning support system that incorporates an emotion engine to recognize user emotions. The system aims to improve the accuracy of travel planning and user satisfaction by incorporating emotional data in order to make the user's travel experience more personal and satisfying.

[0792] First, users input their travel purpose, interests, and individual emotional state using a terminal, and register this information in the system through an information registration method. The terminal utilizes an emotion engine to analyze the user's emotions at the time of input. This allows for a clearer understanding of the nuances of their expectations and hopes regarding their travel plan.

[0793] Subsequently, the device transmits emotion-related data to the server using a communication interface. The server, through data management mechanisms, stores this emotion data in a database along with general travel data. This database includes adjustment information based on the optimal travel destination, activities, and accompanying members, tailored to the mood.

[0794] The server uses needs analysis tools to analyze user information, including emotional data, and identify individual needs. Based on this analysis, the process of generating an optimal travel plan is initiated. The plan generation tool customizes the travel plan to match the user's current emotional state and suggests activities that take emotional changes into account. For example, if the user is seeking relaxation, adjustments such as including quiet places as destinations are made.

[0795] The generated travel plan is presented to the user via their device, and the user reviews the plan and provides further feedback by evaluating its emotional fit. This feedback is sent back to the server, where the travel plan is re-evaluated through plan presentation and adjustment mechanisms. The server utilizes the evaluation feedback mechanisms to further improve the emotional engine based on user feedback and incorporates it into future plan generation.

[0796] Once a trip is confirmed, various services are automatically booked through the booking system, and information that might influence emotions, such as upcoming events or seasonal changes at the destination, is provided to the user as it becomes available. Throughout the trip, the server continues to gather user feedback using an emotion engine to improve the travel experience.

[0797] For example, if a user is perceived as being in an active emotional state seeking adventure, the server will suggest a plan that includes rugged terrain and entertainment-filled destinations. If feedback during the trip indicates that the user wished for more relaxation, the system will suggest changes to activities that include relaxation. This system allows users to enjoy a travel experience that best matches their emotions at that time.

[0798] The following describes the processing flow.

[0799] Step 1:

[0800] The user uses the device to input information such as the purpose of their trip, the experiences they expect, and their current emotional state. As they input this information, the device analyzes the user's emotions through an emotion engine and collects the data.

[0801] Step 2:

[0802] The terminal transmits data entered by the user and emotional information acquired by the emotion engine to the server via a communication interface.

[0803] Step 3:

[0804] The server registers the received user information in a database using a data management system. This includes emotional data and related travel preferences.

[0805] Step 4:

[0806] The server uses needs analysis tools to specifically analyze the user's emotional data and associated requests, thereby identifying individual travel needs.

[0807] Step 5:

[0808] The server uses a plan generation mechanism to consider emotional data and generate a travel plan optimized for the user's current mood. If the user is feeling adventurous, a plan including active activities will be selected.

[0809] Step 6:

[0810] The generated travel plan is sent to the device and presented to the user. The user reviews the plan, evaluates whether it is emotionally suitable, and enters feedback on the device.

[0811] Step 7:

[0812] The terminal collects user feedback and sends it to the server via a communication interface. The server uses plan presentation and adjustment mechanisms to incorporate the feedback and adjust the plan.

[0813] Step 8:

[0814] Once the user approves the final plan, the server automatically processes the booking for the travel service using the booking processing mechanism and sends a completion notification to the user's device.

[0815] Step 9:

[0816] During the trip, the server uses an emotion engine to continuously obtain emotional feedback from the user and provides necessary information and support based on that feedback.

[0817] Step 10:

[0818] After the trip ends, the server analyzes the user's feedback from the entire journey using an evaluation feedback system and uses it to improve the emotion engine and the travel plan generation process.

[0819] (Example 2)

[0820] 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".

[0821] Traditional travel planning systems offer fixed plans without considering the user's emotions, making it difficult to provide an optimal travel experience tailored to individual emotional states. Furthermore, they fail to effectively utilize user feedback, hindering plan improvement and increased satisfaction.

[0822] 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.

[0823] In this invention, the server includes data input means for receiving and registering individually relevant information, emotion analysis means for analyzing emotion data and identifying individual requests based on emotional states, and plan generation means for automatically generating travel plans optimized for the user's emotional state using a generative model. This makes it possible to provide a flexible and personalized travel experience based on the user's emotions.

[0824] "Data input means" refers to devices or methods for receiving and registering individually related information.

[0825] A "data control system" is a mechanism for collecting and managing information in order to form a comprehensive data set.

[0826] "Emotional analysis means" refers to the process of analyzing a user's emotional data and identifying individual requests based on their emotional state.

[0827] "Plan generation method" refers to a technology that uses a generative model to automatically generate travel plans optimized for the user's emotional state.

[0828] "Plan presentation and adjustment mechanism" refers to a mechanism that presents a generated travel plan to the user, receives feedback, and readjusts the plan.

[0829] A "reservation management system" is a function that outputs confirmations containing reservation information and manages the reservation process.

[0830] "Information provision means" refers to methods and means for providing users with the latest information and support.

[0831] "Communication-related means" refers to technical methods or devices for exchanging information.

[0832] The "evaluation feedback mechanism" is a function that collects evaluations of the generated travel plans and uses them in information analysis to improve the generative model.

[0833] This invention is a system that analyzes a user's emotions and provides a personalized travel plan based on that analysis. The user inputs their travel purpose, interests, and emotional state using a terminal. The terminal is equipped with an emotion engine that analyzes the user's emotions from the input data. The emotion engine is natural language processing software that analyzes the user's text input in real time.

[0834] After the user completes input, the terminal sends the analyzed data to the server using a communication interface. The server stores and manages this data using an SQL database. The information held as a data management tool is processed by a generative AI model to analyze individual travel needs.

[0835] The server uses a generative AI model to generate appropriate travel plans based on sentiment analysis results. The AI ​​model is pre-trained and capable of generating a variety of travel plans. An example of a prompt is, "The user is seeking relaxation, so suggest a plan that includes a quiet beach resort."

[0836] The generated travel plan is transmitted to the terminal via a communication interface and presented to the user. The user reviews the travel plan, evaluates its suitability, and provides feedback. The evaluated feedback is sent back to the server, which uses this information to improve the travel plan. In this way, a travel experience that best suits the user's feelings is provided.

[0837] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0838] Step 1:

[0839] The user uses a device to input their travel purpose, interests, and emotional state. Text-based information is used as input. The device utilizes an emotion engine to analyze the user's emotions from the input data. Specifically, natural language processing techniques are used to extract emotional keywords such as "want to relax" and "seek adventure." The output is the analyzed emotional state.

[0840] Step 2:

[0841] The terminal uses a communication interface to send analysis results and user input information to the server. Specifically, it bundles data into packets and transfers them to the server via a network protocol. The input is a set of analysis results and raw data, and the output is a notification to the server that the transfer is complete.

[0842] Step 3:

[0843] The server stores the received data in an SQL database. Using data control mechanisms, SQL queries are constructed to ensure the received data is stored correctly. The input consists of user sentiment data and input information, while the output is the information stored in the database.

[0844] Step 4:

[0845] The server utilizes a generative AI model to create personalized travel plans based on sentiment data stored in a database. This process generates prompts, which are then input into the AI ​​model. Prompts such as "Suggest the best travel destination based on your emotional state" are used. The input is the analyzed emotional state, and the output is the travel plan generated by the AI ​​model.

[0846] Step 5:

[0847] The server sends the generated travel plan to the terminal. Here, the data is reformatted and encoded, and then transferred using the communication interface. The input is the travel plan generated by the AI ​​model, and the output is a notification that the plan data has been successfully sent to the terminal.

[0848] Step 6:

[0849] Users review the travel plans presented through their devices and provide feedback. Specifically, they evaluate the plans on the device screen and enter comments and requests. The input is user feedback information, and the output is a notification that the feedback data has been successfully sent back to the server.

[0850] Step 7:

[0851] The server analyzes user feedback using evaluation feedback mechanisms and readjusts the travel plan as needed. It analyzes feedback data and modifies the plan based on the results. The input is feedback information, and the output is the revised travel plan.

[0852] (Application Example 2)

[0853] 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".

[0854] In today's work environment, there is a demand for work adjustments and efficiency improvements based on employees' emotional states. However, traditional systems have difficulty adjusting work schedules to take employees' emotions into account. As a result, it is not possible to provide efficient work schedules or improve work quality.

[0855] 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.

[0856] In this invention, the server includes data collection means for receiving and registering information related to an individual, emotion analysis means for analyzing the user's emotional state and proposing a work plan corresponding to that emotion, and schedule adjustment means for dynamically adjusting the work schedule based on the analysis results. This makes it possible to propose an appropriate work plan according to the emotional state of an employee and to dynamically adjust it.

[0857] "Data collection means" refers to devices or programs used to receive and register information related to an individual.

[0858] "Data management means" refers to devices or programs that collect and manage data in order to create a comprehensive database.

[0859] "Needs analysis tools" are devices or programs used to analyze individual needs based on user information.

[0860] A "plan generation means" refers to a device or program that automatically generates a plan optimized for the user using a generation model.

[0861] "Plan presentation and adjustment means" refers to devices or programs that present a generated plan to the user and allow for readjustment of the plan based on feedback.

[0862] A "reservation processing means" refers to a device or program for outputting a confirmation containing reservation information.

[0863] "Information provision means" refers to devices or programs that provide users with the latest information and support.

[0864] "Emotional analysis tools" are devices or programs that analyze a user's emotional state and propose a work plan that corresponds to that emotion.

[0865] A "schedule adjustment means" refers to a device or program for dynamically adjusting the work schedule based on the analysis results.

[0866] In order to implement this invention, the server, terminal, and user must cooperate to operate the system.

[0867] First, the terminal registers personal input information using data collection methods. The terminal is a smartphone or tablet device that provides an interface for the user to input emotional information and preferences regarding work. In this process, Microsoft Azure's Emotion API is used for emotion analysis.

[0868] Next, the server uses data management tools to store the received information in a database. The server uses the Django framework with Python in a cloud environment, and PostgreSQL is used for data management. In this way, a comprehensive database is built.

[0869] The server uses needs analysis tools to analyze individual user needs based on their emotional information. Based on the analyzed information, an emotional analysis tool proposes a work plan optimized for that emotion.

[0870] Subsequently, the scheduling mechanism dynamically modifies the work schedule based on the analysis results. This process utilizes a generative model to generate a plan optimized for the user. This generated plan is then fed back to the user in real time using Azure Notification Hub.

[0871] To give a concrete example, when an employee working at a logistics center reports work-related stress via an app, the system can analyze it, suggest tasks that are more relaxing for the employee, and adjust their schedule accordingly. In this way, providing flexible work plans tailored to individual emotions improves both work efficiency and employee satisfaction.

[0872] By utilizing a generative AI model, the system continuously provides the best work plan tailored to each employee's state. An example of a prompt might be, "Based on the employee's emotional state, which work plan is optimal?" In this way, the system operates efficiently and flexibly.

[0873] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0874] Step 1:

[0875] Users input personal and emotional information using their devices. The entered data is temporarily stored on the device and organized in a structured format through data collection methods. This information includes emotional data, which may be collected through user facial recognition or text input.

[0876] Step 2:

[0877] The terminal sends information to the server. Using communication methods, the terminal transfers the collected information to a server in the cloud. The server stores the received data using data management methods and simultaneously performs data quality checks. As an ongoing job, it verifies that the data is complete and generates an alert if there are any missing values.

[0878] Step 3:

[0879] The server uses needs analysis tools to analyze user information and sentiment data. Based on the input data, the server analyzes the target user's business needs and creates appropriate plan proposals accordingly. In this process, a generative AI model is used, and predictive analytics techniques identify options that meet the user's requirements.

[0880] Step 4:

[0881] The server uses emotion analysis to propose a work plan. Based on the analyzed data, the server constructs a work plan tailored to the user's current emotional state. At this stage, the emotional data is mapped to specific work characteristics, and the elements that should be prioritized at each stage are clarified. As a result, a schedule is generated that allows the user to work most efficiently.

[0882] Step 5:

[0883] The server dynamically adjusts the work schedule using scheduling tools. The proposed plan is automatically adjusted based on ongoing user feedback and real-time changes in the work environment. This dynamic adjustment is notified directly to the user using Azure Notification Hub. The newly generated schedule is displayed on the user's terminal and becomes ready to execute.

[0884] 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.

[0885] 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.

[0886] 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.

[0887] 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.

[0888] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0889] 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.

[0890] 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.

[0891] 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.

[0892] 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."

[0893] 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.

[0894] 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.

[0895] 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.

[0896] 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.

[0897] 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.

[0898] 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.

[0899] 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.

[0900] 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.

[0901] 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.

[0902] 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.

[0903] 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.

[0904] 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.

[0905] The following is further disclosed regarding the embodiments described above.

[0906] (Claim 1)

[0907] Information registration methods for receiving and registering information related to an individual,

[0908] To create a comprehensive database, a data management system is needed to collect and manage data.

[0909] A needs analysis tool that analyzes individual travel needs based on user information,

[0910] A plan generation means that automatically generates a travel plan optimized for the user using a generative model,

[0911] A plan presentation and adjustment mechanism that presents a generated travel plan to the user, receives feedback, and readjusts the plan,

[0912] A reservation processing means that outputs a confirmation including reservation information,

[0913] Information provision means to provide users with the latest information and support,

[0914] A system that includes this.

[0915] (Claim 2)

[0916] The system according to claim 1, comprising a communication interface for exchanging information.

[0917] (Claim 3)

[0918] The system according to claim 1, comprising evaluation feedback means for collecting evaluations of generated travel plans and using them for data analysis to improve the generative model.

[0919]

[0920] "Example 1"

[0921] (Claim 1)

[0922] A data registration means for receiving and recording information related to an individual,

[0923] A data management system for acquiring and systematically storing data,

[0924] A travel request evaluation method that evaluates individual travel requests based on user data,

[0925] A planning method that automatically creates a travel plan tailored to the user using generation technology,

[0926] A method for presenting and updating a travel plan, which involves showing the created travel plan to the user and updating the plan to reflect their feedback.

[0927] A reservation execution method that issues reservation details,

[0928] Information provision means that provide users with the latest information and support,

[0929] A local information notification system that delivers local information in real time during travel,

[0930] A system that includes this.

[0931] (Claim 2)

[0932] The system according to claim 1, comprising an interface that enables communication.

[0933] (Claim 3)

[0934] The system according to claim 1, further comprising an evaluation collection means for aggregating the results of the review of generated travel plans and using them for data processing to improve the generation technology.

[0935] "Application Example 1"

[0936] (Claim 1)

[0937] An input method for receiving and registering personal information,

[0938] To create a comprehensive database, a management system is needed to collect and manage data.

[0939] An analytical tool for analyzing individual travel needs based on user information,

[0940] A planning method that automatically generates a travel plan optimized for the user using a generative model,

[0941] A presentation and adjustment mechanism that presents the generated travel plan to the user, receives feedback, and readjusts the plan,

[0942] A processing means that outputs a confirmation including reservation information,

[0943] A means of providing users with the latest information and support,

[0944] A route guidance system for providing route guidance during travel in conjunction with an automated transportation system,

[0945] A system that includes this.

[0946] (Claim 2)

[0947] The system according to claim 1, comprising an interface for communication.

[0948] (Claim 3)

[0949] The system according to claim 1, comprising an evaluation means for collecting evaluations of generated travel plans and using them in analysis to improve the generation model.

[0950] "Example 2 of combining an emotion engine"

[0951] (Claim 1)

[0952] A data entry method for receiving and registering individually related information,

[0953] To form a comprehensive data set, a data control means for collecting and controlling information,

[0954] An emotion analysis means that analyzes user emotion data and identifies individual requests based on their emotional state,

[0955] A plan generation method that automatically generates travel plans optimized for the user's emotional state using a generative model,

[0956] A plan presentation and adjustment mechanism that presents a generated travel plan to the user, receives feedback, and readjusts the plan,

[0957] A reservation management system that outputs a confirmation including reservation information,

[0958] Information provision means to provide users with the latest information and support,

[0959] A system that includes this.

[0960] (Claim 2)

[0961] The system according to claim 1, comprising communication means for exchanging information.

[0962] (Claim 3)

[0963] The system according to claim 1, further comprising evaluation feedback means for collecting evaluations of generated travel plans and utilizing them in information analysis to improve the generation model.

[0964] "Application example 2 when combining with an emotional engine"

[0965] (Claim 1)

[0966] Data collection methods that receive and register information related to individuals,

[0967] To create a comprehensive database, a data management system is needed to collect and manage data.

[0968] A needs analysis tool that analyzes individual travel needs based on user information,

[0969] A plan generation means that automatically generates a travel plan optimized for the user using a generative model,

[0970] A plan presentation and adjustment mechanism that presents a generated travel plan to the user, receives feedback, and readjusts the plan,

[0971] A reservation processing means that outputs a confirmation including reservation information,

[0972] Information provision means to provide users with the latest information and support,

[0973] An emotion analysis tool that analyzes the emotional state of users and proposes a work plan that corresponds to those emotions,

[0974] A scheduling mechanism that dynamically adjusts the work schedule based on the analysis results,

[0975] A system that includes this.

[0976] (Claim 2)

[0977] The system according to claim 1, comprising means for exchanging data.

[0978] (Claim 3)

[0979] The system according to claim 1, comprising evaluation feedback means for collecting evaluations of generated plans and using them for data analysis to improve the generative model. [Explanation of Symbols]

[0980] 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. Information registration methods for receiving and registering information related to an individual, To create a comprehensive database, a data management system is needed to collect and manage data. A needs analysis tool that analyzes individual travel needs based on user information, A plan generation means that automatically generates a travel plan optimized for the user using a generative model, A plan presentation and adjustment mechanism that presents a generated travel plan to the user, receives feedback, and readjusts the plan, A reservation processing means that outputs a confirmation including reservation information, Information provision means to provide users with the latest information and support, A system that includes this.

2. The system according to claim 1, comprising a communication interface for exchanging information.

3. The system according to claim 1, further comprising evaluation feedback means for collecting evaluations of generated travel plans and utilizing them in data analysis to improve the generative model.

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