system

Abstract

Provide a system. 【Solution means】 Means for receiving travel-related information from a user, Means for generating a travel plan based on the received information, Means for presenting the generated travel plan to the user and receiving feedback, Means for readjusting the travel plan by reflecting the user's feedback, Means for visualizing and displaying the travel plan on a map, Means for supporting reservations for accommodation facilities and transportation, Means for dynamically adjusting the plan in consideration of real-time information during the trip, Means for providing information in multiple languages, Means for accepting the user's travel request in natural language using voice recognition technology, Means for presenting the generated travel plan in voice using text-to-speech technology, A system including the above.

Description

Technical Field

[0004] , , ,

[0005] , , ,

[0001] The technology of this 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, and includes 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 conventional travel planning methods, it takes a lot of time and effort to create a plan according to the individual needs of users, and there is also a problem that it is impossible to quickly respond to unexpected situation changes that occur during travel. Furthermore, when traveling in different language environments, the language barrier may interfere with the user experience. In response to such problems, there is a demand for providing a quick and flexible travel plan considering the user's preferences, budget, and real-time information, and improving the service by supporting multiple languages.

Means for Solving the Problems

[0005] This invention provides a system that receives travel-related information from users and generates travel plans using AI based on that information. Furthermore, it can present the generated plan to the user and readjust the plan based on their feedback. In particular, it has a visualization function on a map, allowing users to intuitively check their itinerary. It also provides support for booking accommodations and transportation, and dynamically adjusts the plan during the trip by taking into account real-time weather and congestion conditions, enabling quick responses to unexpected changes. In addition, it provides information in multiple languages, so the service can be used smoothly even in different language environments.

[0006] A "user" is an individual or group that uses the system to create a travel plan.

[0007] "Travel-related information" refers to data necessary for creating a travel plan, such as travel destination, dates, budget, preferences, and past travel experience.

[0008] A "travel plan" is a detailed schedule based on the user's requests, including sightseeing destinations, accommodations, restaurants, and transportation methods to be visited during the trip.

[0009] "Feedback" refers to information including opinions and requests from users regarding the proposed travel plan.

[0010] "Readjustment" is the process of modifying or improving existing travel plans based on user feedback.

[0011] "Visualizing on a map" is a method that displays the contents of a travel plan on a map, allowing users to intuitively understand the travel route and overall picture.

[0012] "Reservation support" refers to services that include assistance with booking accommodations and transportation.

[0013] "Real-time information" refers to the most recent and up-to-date external data that users utilize during their trip, such as weather, traffic conditions, and congestion levels.

[0014] "Dynamic adjustment" refers to automatically and promptly updating existing travel plans based on real-time information obtained during the trip.

[0015] "Multi-language" support refers to the ability of a system to be operable in different language environments and to provide information according to the user's language settings. [Brief explanation of the drawing]

[0016] [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] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when combined with an emotion engine. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when combined with an emotion engine.

Mode for Carrying Out the Invention

[0017] Hereinafter, an example of an embodiment of the system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0018] First, the terms used in the following description will be explained.

[0019] In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be one arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be one type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include CPU (Central Processing Unit), GPU (Graphics Processing Unit), GPGPU (General-Purpose computing on Graphics Processing Units), APU (Accelerated Processing Unit), etc.

[0020] In the following embodiments, the numbered RAM (Random Access Memory) is a memory where information is temporarily stored and is used as a work memory by the processor.

[0021] In the following embodiments, the signed storage is one or more non-volatile storage devices that store various programs and various parameters. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes.

[0022] 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).

[0023] 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."

[0024] [First Embodiment]

[0025] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0026] 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.

[0027] 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).

[0028] 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.

[0029] 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.

[0030] 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.

[0031] 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.

[0032] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0033] 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.

[0034] 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.

[0035] 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.

[0036] 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".

[0037] The embodiment of this invention is an AI-powered travel planning system that proposes travel plans based on the individual needs of the user. This system mainly consists of a server, terminals, and users.

[0038] The user uses a device to input travel-related information such as destination, dates, budget, and travel preferences. This information is sent from the device to the server. The server uses this information to retrieve relevant data from its database and generates a travel plan using an AI algorithm.

[0039] The generated travel plan includes elements such as tourist attractions, accommodations, restaurants, and transportation, and is sent from the server to the terminal and presented to the user. The user views this plan and provides feedback through a chatbot-style interface. The server receives this feedback and can readjust the plan.

[0040] The travel plan is visually displayed on the device in map format, allowing users to intuitively check the entire itinerary. This map display shows efficient travel routes between destinations. It also includes a booking support function, making it easy for users to book their selected accommodations and transportation.

[0041] During your trip, the server monitors real-time weather and traffic conditions and dynamically adjusts your plan accordingly. This feature allows for flexible responses to unexpected situations that may arise during your travels.

[0042] Furthermore, by providing a multilingual interface, the system can be used without problems even in different language environments. For example, a user whose native language is Japanese can overcome language barriers when visiting France by being presented with information in French and English.

[0043] For example, if a user enters "I'm looking for a one-week trip to Asia with a budget of under 200,000 yen, emphasizing cultural experiences," the server will suggest a plan that matches this, including visits to Kyoto and Taipei. The plan includes schedules for visiting temples and shrines and experiencing local cuisine, and the server will readjust it in response to the user's request to "increase the time spent visiting temples and shrines." As a result, a more satisfying travel plan is provided.

[0044] The following describes the processing flow.

[0045] Step 1:

[0046] Users use their devices to enter travel-related information. For example, they enter their destination, dates, budget, travel preferences, etc., and then submit it.

[0047] Step 2:

[0048] The terminal processes the entered information and sends it to the server. At this time, it verifies that the data format is correct.

[0049] Step 3:

[0050] The server searches the database based on the received travel information. It extracts travel destinations and related information that match the user's preferences and criteria.

[0051] Step 4:

[0052] The server uses an AI algorithm to generate a travel plan from the extracted information. A schedule is created that includes selected sightseeing spots, accommodations, and transportation.

[0053] Step 5:

[0054] The server sends the generated travel plan to the device, allowing the user to review the plan.

[0055] Step 6:

[0056] Users view travel plans on their devices and provide feedback by interacting with a chatbot. They can enter requests for additions or modifications to the plan.

[0057] Step 7:

[0058] The server receives feedback from the user and readjusts the plan. It modifies the plan as needed and sends it back to the device.

[0059] Step 8:

[0060] The device visually displays the revised travel plan on a map, allowing users to more intuitively understand their itinerary.

[0061] Step 9:

[0062] The server retrieves real-time external information (weather, traffic conditions, etc.) during the trip and dynamically adjusts the plan. This information is sent to the device to support changes to the plan during the trip.

[0063] Step 10:

[0064] The terminal provides users with necessary information using a multilingual interface. Instructions are provided in the user's selected language.

[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] Traditional travel planning systems have problems such as difficulty in flexibly responding to the individual travel needs of users and inability to adjust plans in real time. Furthermore, the lack of sufficient information provision in multiple languages ​​limits their usability in different language environments.

[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 means for receiving travel-related information entered by the user, means for obtaining relevant information from a database based on the received information, and means for creating a travel plan using a generation AI model based on the obtained information. This enables the creation and adjustment of flexible travel plans that are suitable for the user's needs.

[0070] A "user" refers to an individual or group that inputs travel-related information and uses the generated travel plan.

[0071] A "server" refers to the central processing unit that processes travel-related information received from users, retrieves information from databases, and generates travel plans using AI models.

[0072] "Information" refers to data necessary for generating a travel plan, such as the travel destination, dates, budget, and preferences provided by the user.

[0073] A "database" refers to a source of information that stores travel-related information such as tourist destinations, accommodations, and transportation methods, and which a server references when generating travel plans.

[0074] "Generative AI models" refer to artificial intelligence technology used to automatically create travel plans tailored to the user's needs.

[0075] A "travel plan" refers to a plan that includes a travel schedule and related suggestions, created using an AI model based on information entered by the user.

[0076] "Feedback" refers to the opinions and requests that users provide regarding the presented travel plan, and is used to readjust the plan.

[0077] A "map" refers to a graphical tool used to visually display the places to visit and routes included in a travel plan.

[0078] The "reservation function" refers to a feature that supports users in making reservations for selected accommodations and transportation, streamlining the process.

[0079] "Real-time information" refers to the latest environmental data, such as current weather and traffic conditions, used to dynamically adjust travel plans.

[0080] "Multiple languages" refers to the diversity of languages ​​provided to make information accessible to users in different language environments.

[0081] The embodiment of this invention is a travel planning system utilizing a generative AI model, which proposes a travel plan tailored to individual needs based on information entered by the user through a terminal. This system consists of a server, a terminal, and a user.

[0082] Users input their travel destination, itinerary, budget, and preferences using devices such as smart devices or computers. This information is transmitted from the device to the server via the internet. Based on the received information, the server retrieves relevant information such as tourist attractions, facilities, and transportation options from its database. Database queries such as SQL are used for this process.

[0083] Next, the server uses the acquired information to generate an optimal travel plan using a generative AI model. The generative AI model analyzes the input information as prompts and creates a travel plan that meets the user's preferences. This AI model utilizes natural language processing and machine learning technologies. The plan includes the order in which to visit tourist spots, suggestions for accommodations, and transportation options.

[0084] The generated travel plan is sent back from the server to the terminal and presented to the user. The user can review this plan and provide feedback via chat. After receiving the user's feedback, the server readjusts the travel plan accordingly to provide a more satisfying plan.

[0085] For example, if a user enters a prompt such as "I'd like to travel to Asia for a week with a budget of under 200,000 yen, focusing on cultural experiences," the server will generate a travel plan including Kyoto and Taipei based on that. This plan includes schedules for visiting temples and shrines and experiencing local cuisine, and can be readjusted based on user feedback.

[0086] Furthermore, travel plans are visually displayed on the device in map format, allowing users to intuitively understand their planned destinations and efficient travel routes. The app also includes features to support accommodation and transportation bookings, providing users with a seamless booking experience.

[0087] Real-time information provision is another feature of this system; the server monitors weather information and traffic conditions, and can dynamically adjust plans based on that information. Multiple language interfaces are also supported, allowing for smooth system use across different language environments.

[0088] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0089] Step 1:

[0090] The user uses a device to input information such as travel destination, dates, budget, and travel preferences. This entered data is temporarily stored on the device and can be viewed through the interface. Based on the user's input, basic data is formed to define what kind of travel plan is needed.

[0091] Step 2:

[0092] The terminal sends the information entered by the user to the server. The primary communication protocols used are HTTP and HTTPS. The input information is sent in a format that can be parsed by the server (such as JSON or XML). This data is stored on the server for subsequent processing.

[0093] Step 3:

[0094] The server retrieves relevant information from the database based on the received information. Specifically, it searches for data on tourist attractions, accommodations, and transportation methods related to the destination using SQL queries. This output is a set of retrieved data, which is used as input data for the next AI processing.

[0095] Step 4:

[0096] The server generates a travel plan using a generative AI model based on the acquired information. Here, the AI ​​model expands on the input data (information on tourist destinations, accommodations, and transportation) to generate a plan that meets the user's needs. The output is a list of suggested travel plans.

[0097] Step 5:

[0098] The server sends the generated travel plan to the user's device and presents it to them. The user can review the travel plan through their device and provide feedback using the chat interface. This feedback constitutes the user's new requests and suggestions for improvement.

[0099] Step 6:

[0100] The server receives feedback from the user and analyzes it as input information. Based on this feedback, the AI ​​processes the data again and readjusts the travel plan. The output is the newly adjusted travel plan.

[0101] Step 7:

[0102] The device uses a map API to display the travel plan in map format. This allows the user to intuitively understand the places to visit and the route. This output is a visual arrangement of the travel plan.

[0103] Step 8:

[0104] The server monitors real-time information, obtaining weather and traffic data during the trip. Based on this, the travel plan can be dynamically adjusted. Users can receive this updated information on their devices, creating an environment that optimizes the travel experience.

[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, users must consider many factors, including selecting a destination, adjusting the itinerary, managing the budget, choosing attractions, and booking accommodations and transportation. The complexity of this process makes creating a satisfying travel plan difficult. Furthermore, there are challenges such as dealing with unexpected situations during the trip and communication difficulties due to language barriers. Traditional systems have struggled to easily resolve these issues, creating a need for solutions that reduce the user burden and provide a more comfortable travel experience.

[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 means for receiving travel-related information from a user, means for generating a travel plan based on the received information, means for presenting the generated travel plan to the user and receiving feedback, means for readjusting the travel plan to reflect the user's feedback, means for visualizing and displaying the travel plan on a map, means for supporting reservations for accommodations and transportation, means for dynamically adjusting the plan considering real-time information during the trip, means for providing information in multiple languages, means for accepting the user's travel request in natural language using speech recognition technology, and means for presenting the generated travel plan audibly using speech synthesis technology. This enables appropriate and flexible travel planning in response to the user's requests.

[0110] "Means of receiving travel-related information from users" refers to methods for obtaining travel-related data such as destinations, dates, budgets, and travel preferences entered by users.

[0111] "Means for generating travel plans based on received information" refers to a function that analyzes acquired travel-related information and creates an optimal travel plan that meets the user's needs and conditions.

[0112] "A means of presenting generated travel plans to users and receiving feedback" refers to a process of displaying proposed plans to users and receiving their opinions and requests regarding them.

[0113] "Means of readjusting travel plans based on user feedback" refers to methods for modifying travel plans and creating more suitable plans based on user opinions and requests.

[0114] "A means of visualizing and displaying travel plans on a map" refers to a function that shows a proposed travel plan in map format, allowing users to visually understand the places they will visit and their travel routes.

[0115] "Means of supporting reservations for accommodations and transportation" refers to systems that help users efficiently proceed with the reservation process for their chosen accommodations and transportation.

[0116] "A means of dynamically adjusting the plan while considering real-time information during travel" refers to a function that reflects the latest information such as weather and traffic conditions during the travel planning process and updates the plan to be the most suitable for the conditions at that time.

[0117] "Means of providing information in multiple languages" refers to a multilingual interface that enables information to be appropriately conveyed to users who speak different languages.

[0118] "A method for accepting user travel requests in natural language using speech recognition technology" refers to a technology that allows a system to understand and process travel wishes and inquiries conveyed by users in spoken language.

[0119] "A means of presenting travel plans generated using speech synthesis technology in audio format" refers to a technology that plays back a travel plan created by a system as audio and explains it to the user.

[0120] This invention is a system that automatically generates travel plans based on user needs using AI technology. The system consists of three main elements: a server, a terminal, and the user. The role and processing of each element are described below.

[0121] Users access the system through mobile devices or home robots. Users input travel-related information, such as travel destinations, dates, budget, and travel preferences, into their devices using voice recognition or text input. The devices then transmit this information to the server via communication.

[0122] The server retrieves relevant information from the database based on the received information and generates a travel plan tailored to the user's requests using an AI algorithm. Software such as Python and Tensorflow® are used for this generation. Google® Speech-to-Text can be used for speech recognition, and services such as Amazon Polly can be used for speech synthesis.

[0123] The generated travel plan, including elements such as tourist attractions, accommodations, restaurants, and transportation, is sent to the device. The device visually displays the plan on a map, allowing the user to review its contents. Furthermore, using speech synthesis technology, the travel plan can be presented to the user verbally. Based on user feedback, the server readjusts the travel plan.

[0124] Furthermore, the server monitors real-time information during the trip, such as weather and traffic conditions, and dynamically adjusts the plan. This allows users to respond flexibly to unexpected situations. Users can easily make reservations for accommodations and transportation through the system.

[0125] As a concrete example, a user can ask their home robot assistant, "Suggest a travel destination for next month," and a plan will be generated that meets that request. The following prompt can also be used in a user request: "Please recommend a 3-day travel plan in Tokyo next month. I'm interested in cultural experiences."

[0126] In this way, the present invention makes it possible to provide users with personalized and adaptable travel plans.

[0127] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0128] Step 1:

[0129] The user enters their travel destination, budget, itinerary, travel preferences, etc., into the device via voice or text. The entered data is sent to the server as text data after being processed by speech recognition (if used) on the device. Google Speech-to-Text is used for speech recognition.

[0130] Step 2:

[0131] Based on the travel-related information received, the server retrieves information on appropriate tourist spots, accommodations, restaurants, etc., from its internal database and external sources. During this process, it applies an AI algorithm (a generative AI model using TensorFlow) to generate a travel plan optimized for the user's specific needs.

[0132] Step 3:

[0133] The server sends the generated travel plan to the terminal. The terminal displays the plan on a map and presents it visually to the user. It also outputs the plan as audio using speech synthesis technology (such as Amazon Polly). This step includes data conversion and processing for map rendering and speech synthesis.

[0134] Step 4:

[0135] Users review the travel plan presented through their device and provide feedback as needed. For example, they can request to add more places to visit. This feedback is sent from the device to the server and reflected in the system.

[0136] Step 5:

[0137] The server receives user feedback and readjusts the travel plan based on it. An AI model optimizes the existing plan and generates a new one. The new plan, which includes information adjusted according to the feedback, is sent to the device.

[0138] Step 6:

[0139] During your trip, the server monitors weather and traffic information in real time and dynamically adjusts your plan based on that information. New information is integrated into the plan, allowing for flexible responses. To support the user's safe and comfortable travel experience, the adjusted plan is notified to your device as it becomes available.

[0140] Through these steps, users can enjoy a seamless travel planning experience at each stage.

[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] The travel planning system of this invention provides a more highly personalized travel experience by taking into account the user's individual needs and psychological state. This system mainly consists of a server, a terminal, and an emotion engine that recognizes emotions.

[0143] Users input travel-related information via their devices, and during this process, an emotion engine analyzes the user's emotions from their voice and text. This emotional information is sent to the server as crucial data in the process of generating and adjusting travel plans.

[0144] The server combines user input information with sentiment analysis results, searches a database, and generates the optimal travel plan. This travel plan includes destinations and activities that are best suited to the user's current psychological state, thereby improving their satisfaction during the trip.

[0145] The generated travel plan is sent to the device and presented to the user. As the user reviews the plan and provides feedback as needed, the server again utilizes the emotion engine to capture the user's emotional response and adjust the plan accordingly. This provides flexibility to respond immediately to user requests. The plan is also visualized on a map for easy viewing.

[0146] Furthermore, the booking support function has been enhanced by an emotion engine. When it detects negative emotions such as anxiety or stress, it provides appropriate support information and priority booking arrangements, creating an environment where users can enjoy their trip with peace of mind.

[0147] For example, if a user enters "I have a lot of plans in the next city I'm visiting and I'm a little tired," the server will prioritize suggesting a relaxing spa reservation or offer options to shorten travel time. Furthermore, if the emotion engine determines that the user is enjoying themselves, it will adjust the plan to maximize their current enjoyment rather than making the schedule too packed.

[0148] Thus, the system of the present invention goes beyond merely providing travel schedules; it comprehensively supports a travel experience that is tailored to the user's emotions.

[0149] The following describes the processing flow.

[0150] Step 1:

[0151] Users enter travel information using their devices, including details such as destination, dates, budget, and activities of interest.

[0152] Step 2:

[0153] The device activates an emotion engine simultaneously with the input information, collecting and analyzing emotional data from the user's text and voice input. This emotional data includes emotions such as joy, excitement, and anxiety.

[0154] Step 3:

[0155] The device formats the collected travel-related information and emotional data and sends it to the server as data packets. This allows the server to receive both the user's needs and emotional state.

[0156] Step 4:

[0157] Based on the received information, the server selects highly relevant tourist destinations, activities, and accommodations from its database. Simultaneously, it utilizes AI algorithms to generate the most suitable travel plan, taking emotional information into account.

[0158] Step 5:

[0159] The server sends the generated travel plan to the device. This plan includes special suggestions tailored to the user's emotional state; for example, a user seeking relaxation might be presented with plans for spa treatments or nature walks.

[0160] Step 6:

[0161] The user reviews the travel plan presented on the device and provides feedback. The device then uses its emotion engine again to analyze the user's emotions at the time of feedback.

[0162] Step 7:

[0163] The server analyzes user feedback and sentiment data to readjust the plan. For example, if negative emotions are detected, it suggests more comfortable options.

[0164] Step 8:

[0165] The device visualizes the revised travel plan on a map and presents the user with the final plan. This makes it easier for the user to intuitively understand the entire itinerary.

[0166] Step 9:

[0167] The server continuously collects real-time information throughout the trip and dynamically adjusts the plan. The emotion engine optimizes the travel experience by making adjustments as needed based on the user's responses.

[0168] Step 10:

[0169] The device provides information in multiple languages ​​according to the user's language settings, offering instructions and support during travel. It also works in conjunction with an emotion engine to provide guidance incorporating appropriate emotional expressions.

[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 will be referred to as the "terminal."

[0172] Traditional travel planning systems relied on simple user input and did not take into account the user's psychological state or emotions. This resulted in problems such as decreased travel satisfaction and increased anxiety. In particular, they struggled to respond flexibly to unexpected situations during travel, limiting the potential for improving the user experience.

[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 means for receiving travel-related information from the user, means for analyzing the user's emotional state, and means for generating a personalized travel plan using a generative AI model. This makes it possible to provide a flexible and optimal travel plan that meets the user's emotional needs.

[0175] A "user" is an individual or group that uses the travel planning system, and their travel-related information and emotional state are the subjects of analysis by the system.

[0176] "Travel-related information" refers to input data that users provide regarding their travel plans, such as planned destinations, activities of interest, and travel duration.

[0177] "Emotional state" refers to the user's psychological or emotional state as analyzed by the emotion engine based on the user's voice and text input.

[0178] A "generative AI model" is an artificial intelligence algorithm used to create personalized travel plans based on received information and emotional states.

[0179] A "personalized travel plan" refers to a travel schedule that includes optimized destinations and activities, taking into account the user's input information and emotional state.

[0180] An "emotion engine" is a program or device that analyzes user input information to identify their emotions and psychological state.

[0181] This invention relates to a system for optimizing travel planning, designed to provide a more personalized travel experience by taking into account the user's individual emotional state. The system mainly consists of a terminal, a server, and an emotion engine.

[0182] Users input travel-related information using a device. This device integrates a high-performance emotion engine that identifies emotions by analyzing the user's voice and text input. The emotion engine utilizes natural language processing (NLP) and machine learning algorithms to analyze the user's emotional state. This analysis is considered a key factor in the user's travel experience.

[0183] The server integrates user input information and sentiment analysis results, and uses a generative AI model to generate a personalized travel plan. The generative AI model is built on a large amount of data and proposes a travel schedule that best suits the user's wishes and emotions. This model uses various algorithms to evaluate travel plans and select the optimal suggestion.

[0184] The generated travel plan is sent to the device and visualized on a map, allowing the user to intuitively grasp the overall picture of the trip. Furthermore, the server supports booking accommodations and transportation based on the user's emotional state, and makes arrangements to alleviate anxiety and stress. For example, if the user enters "I have a lot planned in the next city and I'm a little tired," the server can prioritize suggesting a relaxing spa reservation or offer options to shorten travel time.

[0185] A concrete example of a prompt might be: "How can I suggest the best travel plan for a user who is feeling tired due to a busy schedule in the next city? The travel plan should include relaxing activities and simplified transportation." In this way, the system can flexibly adjust the travel plan based on the user's emotions, thereby improving the user experience.

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

[0187] Step 1:

[0188] Users enter basic travel-related information using a terminal. Specifically, they enter planned destinations, activities of interest, and travel duration, and send the data to the server via the terminal's interface. The entered information is important as foundational data for subsequent processing.

[0189] Step 2:

[0190] The emotion engine built into the device analyzes the user's voice or text input. This analysis uses natural language processing to estimate the user's emotions and extracts data indicating whether the emotional state is positive or negative. This output data is sent to a server to develop a plan tailored to the user's emotions.

[0191] Step 3:

[0192] The server integrates basic information and sentiment analysis data received from the user. Using a generative AI model, the server generates an optimal travel plan based on the user's wishes and emotions. This generation process involves searching relevant databases and evaluating algorithms to select the best plan from a large number of options, and then outputs the generated plan as structured data.

[0193] Step 4:

[0194] The server generates a travel plan and sends it to the device. The device receives this plan and visualizes it on a map for user convenience. The user can view the visualized travel plan on the device and check the specific routes and schedule. This helps the user understand the overall plan.

[0195] Step 5:

[0196] Users input their opinions and requests regarding the travel plan via a terminal and send feedback to the server. Based on this feedback, the server uses the emotion engine again to analyze the user's new emotional state. The feedback and emotion analysis results are used to readjust the plan, updating it as needed and presenting the new plan to the user.

[0197] Step 6:

[0198] The server supports booking accommodations and transportation based on the user's emotional state. If the user is experiencing anxiety or stress, it provides supportive information and priority booking arrangements to alleviate these feelings. The server organizes this information and sends it to the user's device to help them prepare for an optimal trip.

[0199] (Application Example 2)

[0200] 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".

[0201] Traditional travel planning systems have struggled to address users' individual emotional states and psychological needs, resulting in insufficient improvements in travel satisfaction. Furthermore, their lack of flexibility in real-time adjustment of the travel experience sometimes hindered users' enjoyment of their trip.

[0202] 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.

[0203] In this invention, the server includes means for receiving user travel-related information, means for analyzing the user's emotional state and adjusting the plan accordingly, and means for recommending tourist destinations and activities that correspond to the user's emotions. This makes it possible to provide personalized travel plans that correspond to the user's individual emotional state and optimize the travel experience in real time.

[0204] "Means for receiving travel-related information from users" refers to means for obtaining information such as the purpose, destination, and itinerary of a trip provided by the user.

[0205] "Means for generating travel plans based on received information" refers to means equipped with the function of creating travel plans based on received travel-related information.

[0206] "A means of presenting generated travel plans to users and receiving feedback" refers to a means of showing users the created travel plans and receiving suggestions for improvements and changes from them.

[0207] "Means for readjusting travel plans based on user feedback" refers to a system that includes a function to modify existing travel plans based on user feedback.

[0208] "Means of visualizing and displaying travel plans on a map" refers to methods for displaying created travel plans on a map so that users can understand them visually.

[0209] "Means of supporting accommodation and transportation reservations" refers to a system equipped with functions that assist users in booking accommodation and transportation necessary for their trip.

[0210] "Methods for dynamically adjusting plans based on real-time information during travel" refers to methods that have the function of updating travel plans as they change during the trip.

[0211] "Means of providing information in multiple languages" refers to methods of providing information in multiple languages ​​so that it can be accommodated by users who speak different languages.

[0212] "Means for analyzing the user's emotional state and adjusting the plan based on that" refers to means for evaluating the user's psychological state and proposing the optimal plan accordingly.

[0213] "Means of recommending tourist destinations and activities that match the user's emotions" refers to methods for selecting and recommending tourist destinations and activities that match the user's emotional state.

[0214] To implement this invention, a system consisting mainly of a server, a terminal, and an emotion analysis engine is used. This system begins with the user inputting travel-related information from the terminal, and the emotion analysis engine analyzing that information.

[0215] The device functions as a smartphone or smart glasses, collecting voice and text data from the user. Voice recognition software (e.g., Google Cloud Speech-to-Text API) is used to convert the voice data into text. The text data is sent to a sentiment analysis engine to analyze the user's emotional state. This process utilizes natural language processing tools such as IBM Watson® to evaluate the user's emotions.

[0216] The server receives the user's travel-related information and sentiment analysis results, and searches a database to generate the optimal travel plan. This process uses an AI-powered generative model to create a travel plan that meets the user's requirements.

[0217] For example, if the server indicates that the user is in a state of wanting to relax based on the information it has gathered, the server will prioritize suggesting relaxing tourist spots and activities. Furthermore, it will receive user feedback and dynamically adjust the travel plan. This process involves real-time feedback processing and implementation.

[0218] Furthermore, to enhance the user's travel experience, the service provides information in multiple languages ​​and includes a feature to adjust plans in real time, taking into account changes in conditions during travel. For example, it is possible to modify plans in response to changes in weather or congestion, optimizing the schedule.

[0219] An example of a prompt would be, "Please take the city the traveler is visiting and their emotional state as input, and suggest the best place for them to relax." By using this prompt, the generative AI model can provide a travel experience tailored to the user's specific needs.

[0220] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0221] Step 1:

[0222] The user enters travel-related information into the device. This information includes the travel destination, dates, and specific preferences. This information is then sent from the device to the server.

[0223] Step 2:

[0224] The device accepts voice input to collect the user's emotional state. The voice data is converted to text through speech recognition software, and that text is sent to an emotion analysis engine. The emotion analysis engine uses natural language processing to evaluate the user's emotions.

[0225] Step 3:

[0226] The server receives the user's travel information and sentiment analysis results, searches the database, and generates the optimal travel plan. This process utilizes a generative AI model to select tourist destinations and activities that match the user's psychological state.

[0227] Step 4:

[0228] The server presents the user with a generated travel plan. This plan includes psychologically suitable tourist destinations and activities. The user reviews the plan and enters feedback on their device.

[0229] Step 5:

[0230] The device sends user feedback to the server. The server readjusts the plan based on the feedback and updates it as needed, taking into account real-time information (such as weather and congestion).

[0231] Step 6:

[0232] The server sends the coordinated travel plan to the user's device and presents it to the user along with visualized map information. The user then uses the map information to confirm the details of their trip.

[0233] 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.

[0234] 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.

[0235] 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.

[0236] [Second Embodiment]

[0237] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0238] 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.

[0239] 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).

[0240] 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.

[0241] 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.

[0242] 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).

[0243] 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.

[0244] 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.

[0245] 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.

[0246] 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.

[0247] 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.

[0248] 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".

[0249] The embodiment of this invention is an AI-powered travel planning system that proposes travel plans based on the individual needs of the user. This system mainly consists of a server, terminals, and users.

[0250] The user uses a device to input travel-related information such as destination, dates, budget, and travel preferences. This information is sent from the device to the server. The server uses this information to retrieve relevant data from its database and generates a travel plan using an AI algorithm.

[0251] The generated travel plan includes elements such as tourist attractions, accommodations, restaurants, and transportation, and is sent from the server to the terminal and presented to the user. The user views this plan and provides feedback through a chatbot-style interface. The server receives this feedback and can readjust the plan.

[0252] The travel plan is visually displayed on the device in map format, allowing users to intuitively check the entire itinerary. This map display shows efficient travel routes between destinations. It also includes a booking support function, making it easy for users to book their selected accommodations and transportation.

[0253] During your trip, the server monitors real-time weather and traffic conditions and dynamically adjusts your plan accordingly. This feature allows for flexible responses to unexpected situations that may arise during your travels.

[0254] Furthermore, by providing a multilingual interface, the system can be used without problems even in different language environments. For example, a user whose native language is Japanese can overcome language barriers when visiting France by being presented with information in French and English.

[0255] For example, if a user enters "I'm looking for a one-week trip to Asia with a budget of under 200,000 yen, emphasizing cultural experiences," the server will suggest a plan that matches this, including visits to Kyoto and Taipei. The plan includes schedules for visiting temples and shrines and experiencing local cuisine, and the server will readjust it in response to the user's request to "increase the time spent visiting temples and shrines." As a result, a more satisfying travel plan is provided.

[0256] The following describes the processing flow.

[0257] Step 1:

[0258] Users use their devices to enter travel-related information. For example, they enter their destination, dates, budget, travel preferences, etc., and then submit it.

[0259] Step 2:

[0260] The terminal processes the entered information and sends it to the server. At this time, it verifies that the data format is correct.

[0261] Step 3:

[0262] The server searches the database based on the received travel information. It extracts travel destinations and related information that match the user's preferences and criteria.

[0263] Step 4:

[0264] The server uses an AI algorithm to generate a travel plan from the extracted information. A schedule is created that includes selected sightseeing spots, accommodations, and transportation.

[0265] Step 5:

[0266] The server sends the generated travel plan to the device, allowing the user to review the plan.

[0267] Step 6:

[0268] Users view travel plans on their devices and provide feedback by interacting with a chatbot. They can enter requests for additions or modifications to the plan.

[0269] Step 7:

[0270] The server receives feedback from the user and readjusts the plan. It modifies the plan as needed and sends it back to the device.

[0271] Step 8:

[0272] The device visually displays the revised travel plan on a map, allowing users to more intuitively understand their itinerary.

[0273] Step 9:

[0274] The server retrieves real-time external information (weather, traffic conditions, etc.) during the trip and dynamically adjusts the plan. This information is sent to the device to support changes to the plan during the trip.

[0275] Step 10:

[0276] The terminal provides users with necessary information using a multilingual interface. Instructions are provided in the user's selected language.

[0277] (Example 1)

[0278] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0279] Traditional travel planning systems have problems such as difficulty in flexibly responding to the individual travel needs of users and inability to adjust plans in real time. Furthermore, the lack of sufficient information provision in multiple languages ​​limits their usability in different language environments.

[0280] 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.

[0281] In this invention, the server includes means for receiving travel-related information entered by the user, means for obtaining relevant information from a database based on the received information, and means for creating a travel plan using a generation AI model based on the obtained information. This enables the creation and adjustment of flexible travel plans that are suitable for the user's needs.

[0282] "User" refers to an individual or group that inputs travel-related information and uses the generated travel plan.

[0283] "Server" refers to the central processing device that processes travel-related information received from users, retrieves information from the database, and generates plans using an AI model.

[0284] "Information" refers to the data necessary for generating a travel plan, such as the destination, schedule, budget, and preferences provided by the user.

[0285] "Database" refers to the information source that stores travel-related information such as tourist attractions, accommodation, and transportation means, and is referenced by the server when generating a travel plan.

[0286] "Generation AI model" refers to the artificial intelligence technology used to automatically create a travel plan according to the user's needs.

[0287] "Travel plan" refers to a plan that includes the travel schedule and related proposal content created using the generation AI model based on the information input by the user.

[0288] "Feedback" refers to the opinions and requests made by the user regarding the presented travel plan, and is used for readjusting the plan.

[0289] "Map" refers to a graphical tool for visually displaying the visited locations and routes included in the travel plan.

[0290] "Reservation function" refers to the function that supports the reservation operation of the accommodation facilities and transportation selected by the user and improves the efficiency of the procedures.

[0291] "Real-time information" refers to the latest environmental data used for dynamically adjusting the travel plan, such as the current weather and traffic conditions.

[0292] "Multiple languages" refers to the diversity of languages ​​provided to make information accessible to users in different language environments.

[0293] The embodiment of this invention is a travel planning system utilizing a generative AI model, which proposes a travel plan tailored to individual needs based on information entered by the user through a terminal. This system consists of a server, a terminal, and a user.

[0294] Users input their travel destination, itinerary, budget, and preferences using devices such as smart devices or computers. This information is transmitted from the device to the server via the internet. Based on the received information, the server retrieves relevant information such as tourist attractions, facilities, and transportation options from its database. Database queries such as SQL are used for this process.

[0295] Next, the server uses the acquired information to generate an optimal travel plan using a generative AI model. The generative AI model analyzes the input information as prompts and creates a travel plan that meets the user's preferences. This AI model utilizes natural language processing and machine learning technologies. The plan includes the order in which to visit tourist spots, suggestions for accommodations, and transportation options.

[0296] The generated travel plan is sent back from the server to the terminal and presented to the user. The user can review this plan and provide feedback via chat. After receiving the user's feedback, the server readjusts the travel plan accordingly to provide a more satisfying plan.

[0297] For example, if a user enters a prompt such as "I'd like to travel to Asia for a week with a budget of under 200,000 yen, focusing on cultural experiences," the server will generate a travel plan including Kyoto and Taipei based on that. This plan includes schedules for visiting temples and shrines and experiencing local cuisine, and can be readjusted based on user feedback.

[0298] Furthermore, travel plans are visually displayed on the device in map format, allowing users to intuitively understand their planned destinations and efficient travel routes. The app also includes features to support accommodation and transportation bookings, providing users with a seamless booking experience.

[0299] Real-time information provision is another feature of this system; the server monitors weather information and traffic conditions, and can dynamically adjust plans based on that information. Multiple language interfaces are also supported, allowing for smooth system use across different language environments.

[0300] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0301] Step 1:

[0302] The user uses a device to input information such as travel destination, dates, budget, and travel preferences. This entered data is temporarily stored on the device and can be viewed through the interface. Based on the user's input, basic data is formed to define what kind of travel plan is needed.

[0303] Step 2:

[0304] The terminal sends the information entered by the user to the server. The primary communication protocols used are HTTP and HTTPS. The input information is sent in a format that can be parsed by the server (such as JSON or XML). This data is stored on the server for subsequent processing.

[0305] Step 3:

[0306] The server retrieves relevant information from the database based on the received information. Specifically, it searches for data on tourist attractions, accommodations, and transportation methods related to the destination using SQL queries. This output is a set of retrieved data, which is used as input data for the next AI processing.

[0307] Step 4:

[0308] Based on the information obtained, the server uses a generative AI model to generate a travel plan. Here, the AI model expands the prompt text for the input data (information on tourist attractions, accommodation facilities, and transportation means) to generate a plan that meets the user's needs. What is output is a list of proposed travel plans.

[0309] Step 5:

[0310] The server sends the generated travel plan to the terminal and presents it to the user. The user can view the travel plan through the terminal and provide feedback using the chat interface. The input resulting from this is the user's new desires and improvement points.

[0311] Step 6:

[0312] The server receives the feedback from the user and analyzes it as input information. Based on this feedback, AI processing is performed again to readjust the content of the travel plan. The output is a new, adjusted travel plan.

[0313] Step 7:

[0314] The terminal uses a map API to display the travel plan in map format. As a result, the user can intuitively grasp the locations and routes to be visited. This output is a visual arrangement of the travel plan.

[0315] Step 8:

[0316] The server monitors real-time information and obtains weather and traffic information during the trip. Based on this, the travel plan can be dynamically adjusted. The user can receive this updated information on the terminal, and the environment for optimizing the travel experience is thus prepared.

[0317] (Application Example 1)

[0318] 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."

[0319] When planning a trip, users must consider many factors, including selecting a destination, adjusting the itinerary, managing the budget, choosing attractions, and booking accommodations and transportation. The complexity of this process makes creating a satisfying travel plan difficult. Furthermore, there are challenges such as dealing with unexpected situations during the trip and communication difficulties due to language barriers. Traditional systems have struggled to easily resolve these issues, creating a need for solutions that reduce the user burden and provide a more comfortable travel experience.

[0320] 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.

[0321] In this invention, the server includes means for receiving travel-related information from a user, means for generating a travel plan based on the received information, means for presenting the generated travel plan to the user and receiving feedback, means for readjusting the travel plan to reflect the user's feedback, means for visualizing and displaying the travel plan on a map, means for supporting reservations for accommodations and transportation, means for dynamically adjusting the plan considering real-time information during the trip, means for providing information in multiple languages, means for accepting the user's travel request in natural language using speech recognition technology, and means for presenting the generated travel plan audibly using speech synthesis technology. This enables appropriate and flexible travel planning in response to the user's requests.

[0322] "Means of receiving travel-related information from users" refers to methods for obtaining travel-related data such as destinations, dates, budgets, and travel preferences entered by users.

[0323] "Means for generating travel plans based on received information" refers to a function that analyzes acquired travel-related information and creates an optimal travel plan that meets the user's needs and conditions.

[0324] "A means of presenting generated travel plans to users and receiving feedback" refers to a process of displaying proposed plans to users and receiving their opinions and requests regarding them.

[0325] "Means of readjusting travel plans based on user feedback" refers to methods for modifying travel plans and creating more suitable plans based on user opinions and requests.

[0326] "A means of visualizing and displaying travel plans on a map" refers to a function that shows a proposed travel plan in map format, allowing users to visually understand the places they will visit and their travel routes.

[0327] "Means of supporting reservations for accommodations and transportation" refers to systems that help users efficiently proceed with the reservation process for their chosen accommodations and transportation.

[0328] "A means of dynamically adjusting the plan while considering real-time information during travel" refers to a function that reflects the latest information such as weather and traffic conditions during the travel planning process and updates the plan to be the most suitable for the conditions at that time.

[0329] "Means of providing information in multiple languages" refers to a multilingual interface that enables information to be appropriately conveyed to users who speak different languages.

[0330] "A method for accepting user travel requests in natural language using speech recognition technology" refers to a technology that allows a system to understand and process travel wishes and inquiries conveyed by users in spoken language.

[0331] "A means of presenting travel plans generated using speech synthesis technology in audio format" refers to a technology that plays back a travel plan created by a system as audio and explains it to the user.

[0332] This invention is a system that automatically generates travel plans based on user needs using AI technology. The system consists of three main elements: a server, a terminal, and the user. The role and processing of each element are described below.

[0333] Users access the system through mobile devices or home robots. Users input travel-related information, such as travel destinations, dates, budget, and travel preferences, into their devices using voice recognition or text input. The devices then transmit this information to the server via communication.

[0334] The server retrieves relevant information from the database based on the received information and generates a travel plan tailored to the user's requests using an AI algorithm. Software such as Python and TensorFlow are used for generation. Services such as Google Speech-to-Text can be used for speech recognition, and Amazon Polly can be used for speech synthesis.

[0335] The generated travel plan, including elements such as tourist attractions, accommodations, restaurants, and transportation, is sent to the device. The device visually displays the plan on a map, allowing the user to review its contents. Furthermore, using speech synthesis technology, the travel plan can be presented to the user verbally. Based on user feedback, the server readjusts the travel plan.

[0336] Furthermore, the server monitors real-time information during the trip, such as weather and traffic conditions, and dynamically adjusts the plan. This allows users to respond flexibly to unexpected situations. Users can easily make reservations for accommodations and transportation through the system.

[0337] As a concrete example, a user can ask their home robot assistant, "Suggest a travel destination for next month," and a plan will be generated that meets that request. The following prompt can also be used in a user request: "Please recommend a 3-day travel plan in Tokyo next month. I'm interested in cultural experiences."

[0338] In this way, the present invention makes it possible to provide users with personalized and adaptable travel plans.

[0339] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0340] Step 1:

[0341] The user enters their travel destination, budget, itinerary, travel preferences, etc., into the device via voice or text. The entered data is sent to the server as text data after being processed by speech recognition (if used) on the device. Google Speech-to-Text is used for speech recognition.

[0342] Step 2:

[0343] Based on the travel-related information received, the server retrieves information on appropriate tourist spots, accommodations, restaurants, etc., from its internal database and external sources. During this process, it applies an AI algorithm (a generative AI model using TensorFlow) to generate a travel plan optimized for the user's specific needs.

[0344] Step 3:

[0345] The server sends the generated travel plan to the terminal. The terminal displays the plan on a map and presents it visually to the user. It also outputs the plan as audio using speech synthesis technology (such as Amazon Polly). This step includes data conversion and processing for map rendering and speech synthesis.

[0346] Step 4:

[0347] Users review the travel plan presented through their device and provide feedback as needed. For example, they can request to add more places to visit. This feedback is sent from the device to the server and reflected in the system.

[0348] Step 5:

[0349] The server receives user feedback and readjusts the travel plan based on it. An AI model optimizes the existing plan and generates a new one. The new plan, which includes information adjusted according to the feedback, is sent to the device.

[0350] Step 6:

[0351] During your trip, the server monitors weather and traffic information in real time and dynamically adjusts your plan based on that information. New information is integrated into the plan, allowing for flexible responses. To support the user's safe and comfortable travel experience, the adjusted plan is notified to your device as it becomes available.

[0352] Through these steps, users can enjoy a seamless travel planning experience at each stage.

[0353] 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.

[0354] The travel planning system of this invention provides a more highly personalized travel experience by taking into account the user's individual needs and psychological state. This system mainly consists of a server, a terminal, and an emotion engine that recognizes emotions.

[0355] Users input travel-related information via their devices, and during this process, an emotion engine analyzes the user's emotions from their voice and text. This emotional information is sent to the server as crucial data in the process of generating and adjusting travel plans.

[0356] The server combines user input information with sentiment analysis results, searches a database, and generates the optimal travel plan. This travel plan includes destinations and activities that are best suited to the user's current psychological state, thereby improving their satisfaction during the trip.

[0357] The generated travel plan is sent to the device and presented to the user. As the user reviews the plan and provides feedback as needed, the server again utilizes the emotion engine to capture the user's emotional response and adjust the plan accordingly. This provides flexibility to respond immediately to user requests. The plan is also visualized on a map for easy viewing.

[0358] Furthermore, the booking support function has been enhanced by an emotion engine. When it detects negative emotions such as anxiety or stress, it provides appropriate support information and priority booking arrangements, creating an environment where users can enjoy their trip with peace of mind.

[0359] For example, if a user enters "I have a lot of plans in the next city I'm visiting and I'm a little tired," the server will prioritize suggesting a relaxing spa reservation or offer options to shorten travel time. Furthermore, if the emotion engine determines that the user is enjoying themselves, it will adjust the plan to maximize their current enjoyment rather than making the schedule too packed.

[0360] Thus, the system of the present invention goes beyond merely providing travel schedules; it comprehensively supports a travel experience that is tailored to the user's emotions.

[0361] The following describes the processing flow.

[0362] Step 1:

[0363] Users enter travel information using their devices, including details such as destination, dates, budget, and activities of interest.

[0364] Step 2:

[0365] The device activates an emotion engine simultaneously with the input information, collecting and analyzing emotional data from the user's text and voice input. This emotional data includes emotions such as joy, excitement, and anxiety.

[0366] Step 3:

[0367] The device formats the collected travel-related information and emotional data and sends it to the server as data packets. This allows the server to receive both the user's needs and emotional state.

[0368] Step 4:

[0369] Based on the received information, the server selects highly relevant tourist destinations, activities, and accommodations from its database. Simultaneously, it utilizes AI algorithms to generate the most suitable travel plan, taking emotional information into account.

[0370] Step 5:

[0371] The server sends the generated travel plan to the device. This plan includes special suggestions tailored to the user's emotional state; for example, a user seeking relaxation might be presented with plans for spa treatments or nature walks.

[0372] Step 6:

[0373] The user reviews the travel plan presented on the device and provides feedback. The device then uses its emotion engine again to analyze the user's emotions at the time of feedback.

[0374] Step 7:

[0375] The server analyzes user feedback and sentiment data to readjust the plan. For example, if negative emotions are detected, it suggests more comfortable options.

[0376] Step 8:

[0377] The device visualizes the revised travel plan on a map and presents the user with the final plan. This makes it easier for the user to intuitively understand the entire itinerary.

[0378] Step 9:

[0379] The server continuously collects real-time information throughout the trip and dynamically adjusts the plan. The emotion engine optimizes the travel experience by making adjustments as needed based on the user's responses.

[0380] Step 10:

[0381] The device provides information in multiple languages ​​according to the user's language settings, offering instructions and support during travel. It also works in conjunction with an emotion engine to provide guidance incorporating appropriate emotional expressions.

[0382] (Example 2)

[0383] 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".

[0384] Traditional travel planning systems relied on simple user input and did not take into account the user's psychological state or emotions. This resulted in problems such as decreased travel satisfaction and increased anxiety. In particular, they struggled to respond flexibly to unexpected situations during travel, limiting the potential for improving the user experience.

[0385] 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.

[0386] In this invention, the server includes means for receiving travel-related information from the user, means for analyzing the user's emotional state, and means for generating a personalized travel plan using a generative AI model. This makes it possible to provide a flexible and optimal travel plan that meets the user's emotional needs.

[0387] A "user" is an individual or group that uses the travel planning system, and their travel-related information and emotional state are the subjects of analysis by the system.

[0388] "Travel-related information" refers to input data that users provide regarding their travel plans, such as planned destinations, activities of interest, and travel duration.

[0389] "Emotional state" refers to the user's psychological or emotional state as analyzed by the emotion engine based on the user's voice and text input.

[0390] A "generative AI model" is an artificial intelligence algorithm used to create personalized travel plans based on received information and emotional states.

[0391] A "personalized travel plan" refers to a travel schedule that includes optimized destinations and activities, taking into account the user's input information and emotional state.

[0392] An "emotion engine" is a program or device that analyzes user input information to identify their emotions and psychological state.

[0393] This invention relates to a system for optimizing travel planning, designed to provide a more personalized travel experience by taking into account the user's individual emotional state. The system mainly consists of a terminal, a server, and an emotion engine.

[0394] Users input travel-related information using a device. This device integrates a high-performance emotion engine that identifies emotions by analyzing the user's voice and text input. The emotion engine utilizes natural language processing (NLP) and machine learning algorithms to analyze the user's emotional state. This analysis is considered a key factor in the user's travel experience.

[0395] The server integrates user input information and sentiment analysis results, and uses a generative AI model to generate a personalized travel plan. The generative AI model is built on a large amount of data and proposes a travel schedule that best suits the user's wishes and emotions. This model uses various algorithms to evaluate travel plans and select the optimal suggestion.

[0396] The generated travel plan is sent to the device and visualized on a map, allowing the user to intuitively grasp the overall picture of the trip. Furthermore, the server supports booking accommodations and transportation based on the user's emotional state, and makes arrangements to alleviate anxiety and stress. For example, if the user enters "I have a lot planned in the next city and I'm a little tired," the server can prioritize suggesting a relaxing spa reservation or offer options to shorten travel time.

[0397] A concrete example of a prompt might be: "How can I suggest the best travel plan for a user who is feeling tired due to a busy schedule in the next city? The travel plan should include relaxing activities and simplified transportation." In this way, the system can flexibly adjust the travel plan based on the user's emotions, thereby improving the user experience.

[0398] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0399] Step 1:

[0400] Users enter basic travel-related information using a terminal. Specifically, they enter planned destinations, activities of interest, and travel duration, and send the data to the server via the terminal's interface. The entered information is important as foundational data for subsequent processing.

[0401] Step 2:

[0402] The emotion engine built into the device analyzes the user's voice or text input. This analysis uses natural language processing to estimate the user's emotions and extracts data indicating whether the emotional state is positive or negative. This output data is sent to a server to develop a plan tailored to the user's emotions.

[0403] Step 3:

[0404] The server integrates basic information and sentiment analysis data received from the user. Using a generative AI model, the server generates an optimal travel plan based on the user's wishes and emotions. This generation process involves searching relevant databases and evaluating algorithms to select the best plan from a large number of options, and then outputs the generated plan as structured data.

[0405] Step 4:

[0406] The server generates a travel plan and sends it to the device. The device receives this plan and visualizes it on a map for user convenience. The user can view the visualized travel plan on the device and check the specific routes and schedule. This helps the user understand the overall plan.

[0407] Step 5:

[0408] Users input their opinions and requests regarding the travel plan via a terminal and send feedback to the server. Based on this feedback, the server uses the emotion engine again to analyze the user's new emotional state. The feedback and emotion analysis results are used to readjust the plan, updating it as needed and presenting the new plan to the user.

[0409] Step 6:

[0410] The server supports booking accommodations and transportation based on the user's emotional state. If the user is experiencing anxiety or stress, it provides supportive information and priority booking arrangements to alleviate these feelings. The server organizes this information and sends it to the user's device to help them prepare for an optimal trip.

[0411] (Application Example 2)

[0412] 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."

[0413] Traditional travel planning systems have struggled to address users' individual emotional states and psychological needs, resulting in insufficient improvements in travel satisfaction. Furthermore, their lack of flexibility in real-time adjustment of the travel experience sometimes hindered users' enjoyment of their trip.

[0414] 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.

[0415] In this invention, the server includes means for receiving user travel-related information, means for analyzing the user's emotional state and adjusting the plan accordingly, and means for recommending tourist destinations and activities that correspond to the user's emotions. This makes it possible to provide personalized travel plans that correspond to the user's individual emotional state and optimize the travel experience in real time.

[0416] "Means for receiving travel-related information from users" refers to means for obtaining information such as the purpose, destination, and itinerary of a trip provided by the user.

[0417] "Means for generating travel plans based on received information" refers to means equipped with the function of creating travel plans based on received travel-related information.

[0418] "A means of presenting generated travel plans to users and receiving feedback" refers to a means of showing users the created travel plans and receiving suggestions for improvements and changes from them.

[0419] "Means for readjusting travel plans based on user feedback" refers to a system that includes a function to modify existing travel plans based on user feedback.

[0420] "Means of visualizing and displaying travel plans on a map" refers to methods for displaying created travel plans on a map so that users can understand them visually.

[0421] "Means of supporting accommodation and transportation reservations" refers to a system equipped with functions that assist users in booking accommodation and transportation necessary for their trip.

[0422] "Methods for dynamically adjusting plans based on real-time information during travel" refers to methods that have the function of updating travel plans as they change during the trip.

[0423] "Means of providing information in multiple languages" refers to methods of providing information in multiple languages ​​so that it can be accommodated by users who speak different languages.

[0424] "Means for analyzing the user's emotional state and adjusting the plan based on that" refers to means for evaluating the user's psychological state and proposing the optimal plan accordingly.

[0425] "Means of recommending tourist destinations and activities that match the user's emotions" refers to methods for selecting and recommending tourist destinations and activities that match the user's emotional state.

[0426] To implement this invention, a system consisting mainly of a server, a terminal, and an emotion analysis engine is used. This system begins with the user inputting travel-related information from the terminal, and the emotion analysis engine analyzing that information.

[0427] The device functions as a smartphone or smart glasses, collecting voice and text data from the user. Speech recognition software (such as Google Cloud Speech-to-Text API) is used to convert the voice data into text. The text data is sent to an emotion analysis engine to analyze the user's emotional state. This process utilizes natural language processing tools like IBM Watson to evaluate the user's emotions.

[0428] The server receives the user's travel-related information and sentiment analysis results, and searches a database to generate the optimal travel plan. This process uses an AI-powered generative model to create a travel plan that meets the user's requirements.

[0429] For example, if the server indicates that the user is in a state of wanting to relax based on the information it has gathered, the server will prioritize suggesting relaxing tourist spots and activities. Furthermore, it will receive user feedback and dynamically adjust the travel plan. This process involves real-time feedback processing and implementation.

[0430] Furthermore, to enhance the user's travel experience, the service provides information in multiple languages ​​and includes a feature to adjust plans in real time, taking into account changes in conditions during travel. For example, it is possible to modify plans in response to changes in weather or congestion, optimizing the schedule.

[0431] An example of a prompt would be, "Please take the city the traveler is visiting and their emotional state as input, and suggest the best place for them to relax." By using this prompt, the generative AI model can provide a travel experience tailored to the user's specific needs.

[0432] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0433] Step 1:

[0434] The user enters travel-related information into the device. This information includes the travel destination, dates, and specific preferences. This information is then sent from the device to the server.

[0435] Step 2:

[0436] The device accepts voice input to collect the user's emotional state. The voice data is converted to text through speech recognition software, and that text is sent to an emotion analysis engine. The emotion analysis engine uses natural language processing to evaluate the user's emotions.

[0437] Step 3:

[0438] The server receives the user's travel information and sentiment analysis results, searches the database, and generates the optimal travel plan. This process utilizes a generative AI model to select tourist destinations and activities that match the user's psychological state.

[0439] Step 4:

[0440] The server presents the user with a generated travel plan. This plan includes psychologically suitable tourist destinations and activities. The user reviews the plan and enters feedback on their device.

[0441] Step 5:

[0442] The device sends user feedback to the server. The server readjusts the plan based on the feedback and updates it as needed, taking into account real-time information (such as weather and congestion).

[0443] Step 6:

[0444] The server sends the coordinated travel plan to the user's device and presents it to the user along with visualized map information. The user then uses the map information to confirm the details of their trip.

[0445] 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.

[0446] 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.

[0447] 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.

[0448] [Third Embodiment]

[0449] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0450] 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.

[0451] 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).

[0452] 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.

[0453] 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.

[0454] 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).

[0455] 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.

[0456] 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.

[0457] 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.

[0458] 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.

[0459] 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.

[0460] 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".

[0461] The embodiment of this invention is an AI-powered travel planning system that proposes travel plans based on the individual needs of the user. This system mainly consists of a server, terminals, and users.

[0462] The user uses a device to input travel-related information such as destination, dates, budget, and travel preferences. This information is sent from the device to the server. The server uses this information to retrieve relevant data from its database and generates a travel plan using an AI algorithm.

[0463] The generated travel plan includes elements such as tourist attractions, accommodations, restaurants, and transportation, and is sent from the server to the terminal and presented to the user. The user views this plan and provides feedback through a chatbot-style interface. The server receives this feedback and can readjust the plan.

[0464] The travel plan is visually displayed on the device in map format, allowing users to intuitively check the entire itinerary. This map display shows efficient travel routes between destinations. It also includes a booking support function, making it easy for users to book their selected accommodations and transportation.

[0465] During your trip, the server monitors real-time weather and traffic conditions and dynamically adjusts your plan accordingly. This feature allows for flexible responses to unexpected situations that may arise during your travels.

[0466] Furthermore, by providing a multilingual interface, the system can be used without problems even in different language environments. For example, a user whose native language is Japanese can overcome language barriers when visiting France by being presented with information in French and English.

[0467] For example, if a user enters "I'm looking for a one-week trip to Asia with a budget of under 200,000 yen, emphasizing cultural experiences," the server will suggest a plan that matches this, including visits to Kyoto and Taipei. The plan includes schedules for visiting temples and shrines and experiencing local cuisine, and the server will readjust it in response to the user's request to "increase the time spent visiting temples and shrines." As a result, a more satisfying travel plan is provided.

[0468] The following describes the processing flow.

[0469] Step 1:

[0470] Users use their devices to enter travel-related information. For example, they enter their destination, dates, budget, travel preferences, etc., and then submit it.

[0471] Step 2:

[0472] The terminal processes the entered information and sends it to the server. At this time, it verifies that the data format is correct.

[0473] Step 3:

[0474] The server searches the database based on the received travel information. It extracts travel destinations and related information that match the user's preferences and criteria.

[0475] Step 4:

[0476] The server uses an AI algorithm to generate a travel plan from the extracted information. A schedule is created that includes selected sightseeing spots, accommodations, and transportation.

[0477] Step 5:

[0478] The server sends the generated travel plan to the device, allowing the user to review the plan.

[0479] Step 6:

[0480] Users view travel plans on their devices and provide feedback by interacting with a chatbot. They can enter requests for additions or modifications to the plan.

[0481] Step 7:

[0482] The server receives feedback from the user and readjusts the plan. It modifies the plan as needed and sends it back to the device.

[0483] Step 8:

[0484] The device visually displays the revised travel plan on a map, allowing users to more intuitively understand their itinerary.

[0485] Step 9:

[0486] The server retrieves real-time external information (weather, traffic conditions, etc.) during the trip and dynamically adjusts the plan. This information is sent to the device to support changes to the plan during the trip.

[0487] Step 10:

[0488] The terminal provides users with necessary information using a multilingual interface. Instructions are provided in the user's selected language.

[0489] (Example 1)

[0490] 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."

[0491] Traditional travel planning systems have problems such as difficulty in flexibly responding to the individual travel needs of users and inability to adjust plans in real time. Furthermore, the lack of sufficient information provision in multiple languages ​​limits their usability in different language environments.

[0492] 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.

[0493] In this invention, the server includes means for receiving travel-related information entered by the user, means for obtaining relevant information from a database based on the received information, and means for creating a travel plan using a generation AI model based on the obtained information. This enables the creation and adjustment of flexible travel plans that are suitable for the user's needs.

[0494] A "user" refers to an individual or group that inputs travel-related information and uses the generated travel plan.

[0495] A "server" refers to the central processing unit that processes travel-related information received from users, retrieves information from databases, and generates travel plans using AI models.

[0496] "Information" refers to data necessary for generating a travel plan, such as the travel destination, dates, budget, and preferences provided by the user.

[0497] A "database" refers to a source of information that stores travel-related information such as tourist destinations, accommodations, and transportation methods, and which a server references when generating travel plans.

[0498] "Generative AI models" refer to artificial intelligence technology used to automatically create travel plans tailored to the user's needs.

[0499] A "travel plan" refers to a plan that includes a travel schedule and related suggestions, created using an AI model based on information entered by the user.

[0500] "Feedback" refers to the opinions and requests that users provide regarding the presented travel plan, and is used to readjust the plan.

[0501] A "map" refers to a graphical tool used to visually display the places to visit and routes included in a travel plan.

[0502] The "reservation function" refers to a feature that supports users in making reservations for selected accommodations and transportation, streamlining the process.

[0503] "Real-time information" refers to the latest environmental data, such as current weather and traffic conditions, used to dynamically adjust travel plans.

[0504] "Multiple languages" refers to the diversity of languages ​​provided to make information accessible to users in different language environments.

[0505] The embodiment of this invention is a travel planning system utilizing a generative AI model, which proposes a travel plan tailored to individual needs based on information entered by the user through a terminal. This system consists of a server, a terminal, and a user.

[0506] Users input their travel destination, itinerary, budget, and preferences using devices such as smart devices or computers. This information is transmitted from the device to the server via the internet. Based on the received information, the server retrieves relevant information such as tourist attractions, facilities, and transportation options from its database. Database queries such as SQL are used for this process.

[0507] Next, the server uses the acquired information to generate an optimal travel plan using a generative AI model. The generative AI model analyzes the input information as prompts and creates a travel plan that meets the user's preferences. This AI model utilizes natural language processing and machine learning technologies. The plan includes the order in which to visit tourist spots, suggestions for accommodations, and transportation options.

[0508] The generated travel plan is sent back from the server to the terminal and presented to the user. The user can review this plan and provide feedback via chat. After receiving the user's feedback, the server readjusts the travel plan accordingly to provide a more satisfying plan.

[0509] For example, if a user enters a prompt such as "I'd like to travel to Asia for a week with a budget of under 200,000 yen, focusing on cultural experiences," the server will generate a travel plan including Kyoto and Taipei based on that. This plan includes schedules for visiting temples and shrines and experiencing local cuisine, and can be readjusted based on user feedback.

[0510] Furthermore, travel plans are visually displayed on the device in map format, allowing users to intuitively understand their planned destinations and efficient travel routes. The app also includes features to support accommodation and transportation bookings, providing users with a seamless booking experience.

[0511] Real-time information provision is another feature of this system; the server monitors weather information and traffic conditions, and can dynamically adjust plans based on that information. Multiple language interfaces are also supported, allowing for smooth system use across different language environments.

[0512] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0513] Step 1:

[0514] The user uses a device to input information such as travel destination, dates, budget, and travel preferences. This entered data is temporarily stored on the device and can be viewed through the interface. Based on the user's input, basic data is formed to define what kind of travel plan is needed.

[0515] Step 2:

[0516] The terminal sends the information entered by the user to the server. The primary communication protocols used are HTTP and HTTPS. The input information is sent in a format that can be parsed by the server (such as JSON or XML). This data is stored on the server for subsequent processing.

[0517] Step 3:

[0518] The server retrieves relevant information from the database based on the received information. Specifically, it searches for data on tourist attractions, accommodations, and transportation methods related to the destination using SQL queries. This output is a set of retrieved data, which is used as input data for the next AI processing.

[0519] Step 4:

[0520] The server generates a travel plan using a generative AI model based on the acquired information. Here, the AI ​​model expands on the input data (information on tourist destinations, accommodations, and transportation) to generate a plan that meets the user's needs. The output is a list of suggested travel plans.

[0521] Step 5:

[0522] The server sends the generated travel plan to the user's device and presents it to them. The user can review the travel plan through their device and provide feedback using the chat interface. This feedback constitutes the user's new requests and suggestions for improvement.

[0523] Step 6:

[0524] The server receives feedback from the user and analyzes it as input information. Based on this feedback, the AI ​​processes the data again and readjusts the travel plan. The output is the newly adjusted travel plan.

[0525] Step 7:

[0526] The device uses a map API to display the travel plan in map format. This allows the user to intuitively understand the places to visit and the route. This output is a visual arrangement of the travel plan.

[0527] Step 8:

[0528] The server monitors real-time information, obtaining weather and traffic data during the trip. Based on this, the travel plan can be dynamically adjusted. Users can receive this updated information on their devices, creating an environment that optimizes the travel experience.

[0529] (Application Example 1)

[0530] 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."

[0531] When planning a trip, users must consider many factors, including selecting a destination, adjusting the itinerary, managing the budget, choosing attractions, and booking accommodations and transportation. The complexity of this process makes creating a satisfying travel plan difficult. Furthermore, there are challenges such as dealing with unexpected situations during the trip and communication difficulties due to language barriers. Traditional systems have struggled to easily resolve these issues, creating a need for solutions that reduce the user burden and provide a more comfortable travel experience.

[0532] 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.

[0533] In this invention, the server includes means for receiving travel-related information from a user, means for generating a travel plan based on the received information, means for presenting the generated travel plan to the user and receiving feedback, means for readjusting the travel plan to reflect the user's feedback, means for visualizing and displaying the travel plan on a map, means for supporting reservations for accommodations and transportation, means for dynamically adjusting the plan considering real-time information during the trip, means for providing information in multiple languages, means for accepting the user's travel request in natural language using speech recognition technology, and means for presenting the generated travel plan audibly using speech synthesis technology. This enables appropriate and flexible travel planning in response to the user's requests.

[0534] "Means of receiving travel-related information from users" refers to methods for obtaining travel-related data such as destinations, dates, budgets, and travel preferences entered by users.

[0535] "Means for generating travel plans based on received information" refers to a function that analyzes acquired travel-related information and creates an optimal travel plan that meets the user's needs and conditions.

[0536] "A means of presenting generated travel plans to users and receiving feedback" refers to a process of displaying proposed plans to users and receiving their opinions and requests regarding them.

[0537] "Means of readjusting travel plans based on user feedback" refers to methods for modifying travel plans and creating more suitable plans based on user opinions and requests.

[0538] "A means of visualizing and displaying travel plans on a map" refers to a function that shows a proposed travel plan in map format, allowing users to visually understand the places they will visit and their travel routes.

[0539] "Means of supporting reservations for accommodations and transportation" refers to systems that help users efficiently proceed with the reservation process for their chosen accommodations and transportation.

[0540] "A means of dynamically adjusting the plan while considering real-time information during travel" refers to a function that reflects the latest information such as weather and traffic conditions during the travel planning process and updates the plan to be the most suitable for the conditions at that time.

[0541] "Means of providing information in multiple languages" refers to a multilingual interface that enables information to be appropriately conveyed to users who speak different languages.

[0542] "A method for accepting user travel requests in natural language using speech recognition technology" refers to a technology that allows a system to understand and process travel wishes and inquiries conveyed by users in spoken language.

[0543] "A means of presenting travel plans generated using speech synthesis technology in audio format" refers to a technology that plays back a travel plan created by a system as audio and explains it to the user.

[0544] This invention is a system that automatically generates travel plans based on user needs using AI technology. The system consists of three main elements: a server, a terminal, and the user. The role and processing of each element are described below.

[0545] Users access the system through mobile devices or home robots. Users input travel-related information, such as travel destinations, dates, budget, and travel preferences, into their devices using voice recognition or text input. The devices then transmit this information to the server via communication.

[0546] The server retrieves relevant information from the database based on the received information and generates a travel plan tailored to the user's requests using an AI algorithm. Software such as Python and TensorFlow are used for generation. Services such as Google Speech-to-Text can be used for speech recognition, and Amazon Polly can be used for speech synthesis.

[0547] The generated travel plan, including elements such as tourist attractions, accommodations, restaurants, and transportation, is sent to the device. The device visually displays the plan on a map, allowing the user to review its contents. Furthermore, using speech synthesis technology, the travel plan can be presented to the user verbally. Based on user feedback, the server readjusts the travel plan.

[0548] Furthermore, the server monitors real-time information during the trip, such as weather and traffic conditions, and dynamically adjusts the plan. This allows users to respond flexibly to unexpected situations. Users can easily make reservations for accommodations and transportation through the system.

[0549] As a concrete example, a user can ask their home robot assistant, "Suggest a travel destination for next month," and a plan will be generated that meets that request. The following prompt can also be used in a user request: "Please recommend a 3-day travel plan in Tokyo next month. I'm interested in cultural experiences."

[0550] In this way, the present invention makes it possible to provide users with personalized and adaptable travel plans.

[0551] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0552] Step 1:

[0553] The user enters their travel destination, budget, itinerary, travel preferences, etc., into the device via voice or text. The entered data is sent to the server as text data after being processed by speech recognition (if used) on the device. Google Speech-to-Text is used for speech recognition.

[0554] Step 2:

[0555] Based on the travel-related information received, the server retrieves information on appropriate tourist spots, accommodations, restaurants, etc., from its internal database and external sources. During this process, it applies an AI algorithm (a generative AI model using TensorFlow) to generate a travel plan optimized for the user's specific needs.

[0556] Step 3:

[0557] The server sends the generated travel plan to the terminal. The terminal displays the plan on a map and presents it visually to the user. It also outputs the plan as audio using speech synthesis technology (such as Amazon Polly). This step includes data conversion and processing for map rendering and speech synthesis.

[0558] Step 4:

[0559] Users review the travel plan presented through their device and provide feedback as needed. For example, they can request to add more places to visit. This feedback is sent from the device to the server and reflected in the system.

[0560] Step 5:

[0561] The server receives user feedback and readjusts the travel plan based on it. An AI model optimizes the existing plan and generates a new one. The new plan, which includes information adjusted according to the feedback, is sent to the device.

[0562] Step 6:

[0563] During your trip, the server monitors weather and traffic information in real time and dynamically adjusts your plan based on that information. New information is integrated into the plan, allowing for flexible responses. To support the user's safe and comfortable travel experience, the adjusted plan is notified to your device as it becomes available.

[0564] Through these steps, users can enjoy a seamless travel planning experience at each stage.

[0565] 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.

[0566] The travel planning system of this invention provides a more highly personalized travel experience by taking into account the user's individual needs and psychological state. This system mainly consists of a server, a terminal, and an emotion engine that recognizes emotions.

[0567] Users input travel-related information via their devices, and during this process, an emotion engine analyzes the user's emotions from their voice and text. This emotional information is sent to the server as crucial data in the process of generating and adjusting travel plans.

[0568] The server combines user input information with sentiment analysis results, searches a database, and generates the optimal travel plan. This travel plan includes destinations and activities that are best suited to the user's current psychological state, thereby improving their satisfaction during the trip.

[0569] The generated travel plan is sent to the device and presented to the user. As the user reviews the plan and provides feedback as needed, the server again utilizes the emotion engine to capture the user's emotional response and adjust the plan accordingly. This provides flexibility to respond immediately to user requests. The plan is also visualized on a map for easy viewing.

[0570] Furthermore, the booking support function has been enhanced by an emotion engine. When it detects negative emotions such as anxiety or stress, it provides appropriate support information and priority booking arrangements, creating an environment where users can enjoy their trip with peace of mind.

[0571] For example, if a user enters "I have a lot of plans in the next city I'm visiting and I'm a little tired," the server will prioritize suggesting a relaxing spa reservation or offer options to shorten travel time. Furthermore, if the emotion engine determines that the user is enjoying themselves, it will adjust the plan to maximize their current enjoyment rather than making the schedule too packed.

[0572] Thus, the system of the present invention goes beyond merely providing travel schedules; it comprehensively supports a travel experience that is tailored to the user's emotions.

[0573] The following describes the processing flow.

[0574] Step 1:

[0575] Users enter travel information using their devices, including details such as destination, dates, budget, and activities of interest.

[0576] Step 2:

[0577] The device activates an emotion engine simultaneously with the input information, collecting and analyzing emotional data from the user's text and voice input. This emotional data includes emotions such as joy, excitement, and anxiety.

[0578] Step 3:

[0579] The device formats the collected travel-related information and emotional data and sends it to the server as data packets. This allows the server to receive both the user's needs and emotional state.

[0580] Step 4:

[0581] Based on the received information, the server selects highly relevant tourist destinations, activities, and accommodations from its database. Simultaneously, it utilizes AI algorithms to generate the most suitable travel plan, taking emotional information into account.

[0582] Step 5:

[0583] The server sends the generated travel plan to the device. This plan includes special suggestions tailored to the user's emotional state; for example, a user seeking relaxation might be presented with plans for spa treatments or nature walks.

[0584] Step 6:

[0585] The user reviews the travel plan presented on the device and provides feedback. The device then uses its emotion engine again to analyze the user's emotions at the time of feedback.

[0586] Step 7:

[0587] The server analyzes user feedback and sentiment data to readjust the plan. For example, if negative emotions are detected, it suggests more comfortable options.

[0588] Step 8:

[0589] The device visualizes the revised travel plan on a map and presents the user with the final plan. This makes it easier for the user to intuitively understand the entire itinerary.

[0590] Step 9:

[0591] The server continuously collects real-time information throughout the trip and dynamically adjusts the plan. The emotion engine optimizes the travel experience by making adjustments as needed based on the user's responses.

[0592] Step 10:

[0593] The device provides information in multiple languages ​​according to the user's language settings, offering instructions and support during travel. It also works in conjunction with an emotion engine to provide guidance incorporating appropriate emotional expressions.

[0594] (Example 2)

[0595] 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."

[0596] Traditional travel planning systems relied on simple user input and did not take into account the user's psychological state or emotions. This resulted in problems such as decreased travel satisfaction and increased anxiety. In particular, they struggled to respond flexibly to unexpected situations during travel, limiting the potential for improving the user experience.

[0597] 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.

[0598] In this invention, the server includes means for receiving travel-related information from the user, means for analyzing the user's emotional state, and means for generating a personalized travel plan using a generative AI model. This makes it possible to provide a flexible and optimal travel plan that meets the user's emotional needs.

[0599] A "user" is an individual or group that uses the travel planning system, and their travel-related information and emotional state are the subjects of analysis by the system.

[0600] "Travel-related information" refers to input data that users provide regarding their travel plans, such as planned destinations, activities of interest, and travel duration.

[0601] "Emotional state" refers to the user's psychological or emotional state as analyzed by the emotion engine based on the user's voice and text input.

[0602] A "generative AI model" is an artificial intelligence algorithm used to create personalized travel plans based on received information and emotional states.

[0603] A "personalized travel plan" refers to a travel schedule that includes optimized destinations and activities, taking into account the user's input information and emotional state.

[0604] An "emotion engine" is a program or device that analyzes user input information to identify their emotions and psychological state.

[0605] This invention relates to a system for optimizing travel planning, designed to provide a more personalized travel experience by taking into account the user's individual emotional state. The system mainly consists of a terminal, a server, and an emotion engine.

[0606] Users input travel-related information using a device. This device integrates a high-performance emotion engine that identifies emotions by analyzing the user's voice and text input. The emotion engine utilizes natural language processing (NLP) and machine learning algorithms to analyze the user's emotional state. This analysis is considered a key factor in the user's travel experience.

[0607] The server integrates user input information and sentiment analysis results, and uses a generative AI model to generate a personalized travel plan. The generative AI model is built on a large amount of data and proposes a travel schedule that best suits the user's wishes and emotions. This model uses various algorithms to evaluate travel plans and select the optimal suggestion.

[0608] The generated travel plan is sent to the device and visualized on a map, allowing the user to intuitively grasp the overall picture of the trip. Furthermore, the server supports booking accommodations and transportation based on the user's emotional state, and makes arrangements to alleviate anxiety and stress. For example, if the user enters "I have a lot planned in the next city and I'm a little tired," the server can prioritize suggesting a relaxing spa reservation or offer options to shorten travel time.

[0609] A concrete example of a prompt might be: "How can I suggest the best travel plan for a user who is feeling tired due to a busy schedule in the next city? The travel plan should include relaxing activities and simplified transportation." In this way, the system can flexibly adjust the travel plan based on the user's emotions, thereby improving the user experience.

[0610] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0611] Step 1:

[0612] Users enter basic travel-related information using a terminal. Specifically, they enter planned destinations, activities of interest, and travel duration, and send the data to the server via the terminal's interface. The entered information is important as foundational data for subsequent processing.

[0613] Step 2:

[0614] The emotion engine built into the device analyzes the user's voice or text input. This analysis uses natural language processing to estimate the user's emotions and extracts data indicating whether the emotional state is positive or negative. This output data is sent to a server to develop a plan tailored to the user's emotions.

[0615] Step 3:

[0616] The server integrates basic information and sentiment analysis data received from the user. Using a generative AI model, the server generates an optimal travel plan based on the user's wishes and emotions. This generation process involves searching relevant databases and evaluating algorithms to select the best plan from a large number of options, and then outputs the generated plan as structured data.

[0617] Step 4:

[0618] The server generates a travel plan and sends it to the device. The device receives this plan and visualizes it on a map for user convenience. The user can view the visualized travel plan on the device and check the specific routes and schedule. This helps the user understand the overall plan.

[0619] Step 5:

[0620] Users input their opinions and requests regarding the travel plan via a terminal and send feedback to the server. Based on this feedback, the server uses the emotion engine again to analyze the user's new emotional state. The feedback and emotion analysis results are used to readjust the plan, updating it as needed and presenting the new plan to the user.

[0621] Step 6:

[0622] The server supports booking accommodations and transportation based on the user's emotional state. If the user is experiencing anxiety or stress, it provides supportive information and priority booking arrangements to alleviate these feelings. The server organizes this information and sends it to the user's device to help them prepare for an optimal trip.

[0623] (Application Example 2)

[0624] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0625] Traditional travel planning systems have struggled to address users' individual emotional states and psychological needs, resulting in insufficient improvements in travel satisfaction. Furthermore, their lack of flexibility in real-time adjustment of the travel experience sometimes hindered users' enjoyment of their trip.

[0626] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0627] In this invention, the server includes means for receiving user travel-related information, means for analyzing the user's emotional state and adjusting the plan accordingly, and means for recommending tourist destinations and activities that correspond to the user's emotions. This makes it possible to provide personalized travel plans that correspond to the user's individual emotional state and optimize the travel experience in real time.

[0628] "Means for receiving travel-related information from users" refers to means for obtaining information such as the purpose, destination, and itinerary of a trip provided by the user.

[0629] "Means for generating travel plans based on received information" refers to means equipped with the function of creating travel plans based on received travel-related information.

[0630] "A means of presenting generated travel plans to users and receiving feedback" refers to a means of showing users the created travel plans and receiving suggestions for improvements and changes from them.

[0631] "Means for readjusting travel plans based on user feedback" refers to a system that includes a function to modify existing travel plans based on user feedback.

[0632] "Means of visualizing and displaying travel plans on a map" refers to methods for displaying created travel plans on a map so that users can understand them visually.

[0633] "Means of supporting accommodation and transportation reservations" refers to a system equipped with functions that assist users in booking accommodation and transportation necessary for their trip.

[0634] "Methods for dynamically adjusting plans based on real-time information during travel" refers to methods that have the function of updating travel plans as they change during the trip.

[0635] "Means of providing information in multiple languages" refers to methods of providing information in multiple languages ​​so that it can be accommodated by users who speak different languages.

[0636] "Means for analyzing the user's emotional state and adjusting the plan based on that" refers to means for evaluating the user's psychological state and proposing the optimal plan accordingly.

[0637] "Means of recommending tourist destinations and activities that match the user's emotions" refers to methods for selecting and recommending tourist destinations and activities that match the user's emotional state.

[0638] To implement this invention, a system consisting mainly of a server, a terminal, and an emotion analysis engine is used. This system begins with the user inputting travel-related information from the terminal, and the emotion analysis engine analyzing that information.

[0639] The device functions as a smartphone or smart glasses, collecting voice and text data from the user. Speech recognition software (such as Google Cloud Speech-to-Text API) is used to convert the voice data into text. The text data is sent to an emotion analysis engine to analyze the user's emotional state. This process utilizes natural language processing tools like IBM Watson to evaluate the user's emotions.

[0640] The server receives the user's travel-related information and sentiment analysis results, and searches a database to generate the optimal travel plan. This process uses an AI-powered generative model to create a travel plan that meets the user's requirements.

[0641] For example, if the server indicates that the user is in a state of wanting to relax based on the information it has gathered, the server will prioritize suggesting relaxing tourist spots and activities. Furthermore, it will receive user feedback and dynamically adjust the travel plan. This process involves real-time feedback processing and implementation.

[0642] Furthermore, to enhance the user's travel experience, the service provides information in multiple languages ​​and includes a feature to adjust plans in real time, taking into account changes in conditions during travel. For example, it is possible to modify plans in response to changes in weather or congestion, optimizing the schedule.

[0643] An example of a prompt would be, "Please take the city the traveler is visiting and their emotional state as input, and suggest the best place for them to relax." By using this prompt, the generative AI model can provide a travel experience tailored to the user's specific needs.

[0644] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0645] Step 1:

[0646] The user enters travel-related information into the device. This information includes the travel destination, dates, and specific preferences. This information is then sent from the device to the server.

[0647] Step 2:

[0648] The device accepts voice input to collect the user's emotional state. The voice data is converted to text through speech recognition software, and that text is sent to an emotion analysis engine. The emotion analysis engine uses natural language processing to evaluate the user's emotions.

[0649] Step 3:

[0650] The server receives the user's travel information and sentiment analysis results, searches the database, and generates the optimal travel plan. This process utilizes a generative AI model to select tourist destinations and activities that match the user's psychological state.

[0651] Step 4:

[0652] The server presents the user with a generated travel plan. This plan includes psychologically suitable tourist destinations and activities. The user reviews the plan and enters feedback on their device.

[0653] Step 5:

[0654] The device sends user feedback to the server. The server readjusts the plan based on the feedback and updates it as needed, taking into account real-time information (such as weather and congestion).

[0655] Step 6:

[0656] The server sends the coordinated travel plan to the user's device and presents it to the user along with visualized map information. The user then uses the map information to confirm the details of their trip.

[0657] 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.

[0658] 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.

[0659] 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.

[0660] [Fourth Embodiment]

[0661] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0662] 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.

[0663] 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).

[0664] 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.

[0665] 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.

[0666] 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).

[0667] 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.

[0668] 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.

[0669] 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.

[0670] 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.

[0671] 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.

[0672] 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.

[0673] 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".

[0674] The embodiment of this invention is an AI-powered travel planning system that proposes travel plans based on the individual needs of the user. This system mainly consists of a server, terminals, and users.

[0675] The user uses a device to input travel-related information such as destination, dates, budget, and travel preferences. This information is sent from the device to the server. The server uses this information to retrieve relevant data from its database and generates a travel plan using an AI algorithm.

[0676] The generated travel plan includes elements such as tourist attractions, accommodations, restaurants, and transportation, and is sent from the server to the terminal and presented to the user. The user views this plan and provides feedback through a chatbot-style interface. The server receives this feedback and can readjust the plan.

[0677] The travel plan is visually displayed on the device in map format, allowing users to intuitively check the entire itinerary. This map display shows efficient travel routes between destinations. It also includes a booking support function, making it easy for users to book their selected accommodations and transportation.

[0678] During your trip, the server monitors real-time weather and traffic conditions and dynamically adjusts your plan accordingly. This feature allows for flexible responses to unexpected situations that may arise during your travels.

[0679] Furthermore, by providing a multilingual interface, the system can be used without problems even in different language environments. For example, a user whose native language is Japanese can overcome language barriers when visiting France by being presented with information in French and English.

[0680] For example, if a user enters "I'm looking for a one-week trip to Asia with a budget of under 200,000 yen, emphasizing cultural experiences," the server will suggest a plan that matches this, including visits to Kyoto and Taipei. The plan includes schedules for visiting temples and shrines and experiencing local cuisine, and the server will readjust it in response to the user's request to "increase the time spent visiting temples and shrines." As a result, a more satisfying travel plan is provided.

[0681] The following describes the processing flow.

[0682] Step 1:

[0683] Users use their devices to enter travel-related information. For example, they enter their destination, dates, budget, travel preferences, etc., and then submit it.

[0684] Step 2:

[0685] The terminal processes the entered information and sends it to the server. At this time, it verifies that the data format is correct.

[0686] Step 3:

[0687] The server searches the database based on the received travel information. It extracts travel destinations and related information that match the user's preferences and criteria.

[0688] Step 4:

[0689] The server uses an AI algorithm to generate a travel plan from the extracted information. A schedule is created that includes selected sightseeing spots, accommodations, and transportation.

[0690] Step 5:

[0691] The server sends the generated travel plan to the device, allowing the user to review the plan.

[0692] Step 6:

[0693] Users view travel plans on their devices and provide feedback by interacting with a chatbot. They can enter requests for additions or modifications to the plan.

[0694] Step 7:

[0695] The server receives feedback from the user and readjusts the plan. It modifies the plan as needed and sends it back to the device.

[0696] Step 8:

[0697] The device visually displays the revised travel plan on a map, allowing users to more intuitively understand their itinerary.

[0698] Step 9:

[0699] The server retrieves real-time external information (weather, traffic conditions, etc.) during the trip and dynamically adjusts the plan. This information is sent to the device to support changes to the plan during the trip.

[0700] Step 10:

[0701] The terminal provides users with necessary information using a multilingual interface. Instructions are provided in the user's selected language.

[0702] (Example 1)

[0703] 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".

[0704] Traditional travel planning systems have problems such as difficulty in flexibly responding to the individual travel needs of users and inability to adjust plans in real time. Furthermore, the lack of sufficient information provision in multiple languages ​​limits their usability in different language environments.

[0705] 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.

[0706] In this invention, the server includes means for receiving travel-related information entered by the user, means for obtaining relevant information from a database based on the received information, and means for creating a travel plan using a generation AI model based on the obtained information. This enables the creation and adjustment of flexible travel plans that are suitable for the user's needs.

[0707] A "user" refers to an individual or group that inputs travel-related information and uses the generated travel plan.

[0708] A "server" refers to the central processing unit that processes travel-related information received from users, retrieves information from databases, and generates travel plans using AI models.

[0709] "Information" refers to data necessary for generating a travel plan, such as the travel destination, dates, budget, and preferences provided by the user.

[0710] A "database" refers to a source of information that stores travel-related information such as tourist destinations, accommodations, and transportation methods, and which a server references when generating travel plans.

[0711] "Generative AI models" refer to artificial intelligence technology used to automatically create travel plans tailored to the user's needs.

[0712] A "travel plan" refers to a plan that includes a travel schedule and related suggestions, created using an AI model based on information entered by the user.

[0713] "Feedback" refers to the opinions and requests that users provide regarding the presented travel plan, and is used to readjust the plan.

[0714] A "map" refers to a graphical tool used to visually display the places to visit and routes included in a travel plan.

[0715] The "reservation function" refers to a feature that supports users in making reservations for selected accommodations and transportation, streamlining the process.

[0716] "Real-time information" refers to the latest environmental data, such as current weather and traffic conditions, used to dynamically adjust travel plans.

[0717] "Multiple languages" refers to the diversity of languages ​​provided to make information accessible to users in different language environments.

[0718] The embodiment of this invention is a travel planning system utilizing a generative AI model, which proposes a travel plan tailored to individual needs based on information entered by the user through a terminal. This system consists of a server, a terminal, and a user.

[0719] Users input their travel destination, itinerary, budget, and preferences using devices such as smart devices or computers. This information is transmitted from the device to the server via the internet. Based on the received information, the server retrieves relevant information such as tourist attractions, facilities, and transportation options from its database. Database queries such as SQL are used for this process.

[0720] Next, the server uses the acquired information to generate an optimal travel plan using a generative AI model. The generative AI model analyzes the input information as prompts and creates a travel plan that meets the user's preferences. This AI model utilizes natural language processing and machine learning technologies. The plan includes the order in which to visit tourist spots, suggestions for accommodations, and transportation options.

[0721] The generated travel plan is sent back from the server to the terminal and presented to the user. The user can review this plan and provide feedback via chat. After receiving the user's feedback, the server readjusts the travel plan accordingly to provide a more satisfying plan.

[0722] For example, if a user enters a prompt such as "I'd like to travel to Asia for a week with a budget of under 200,000 yen, focusing on cultural experiences," the server will generate a travel plan including Kyoto and Taipei based on that. This plan includes schedules for visiting temples and shrines and experiencing local cuisine, and can be readjusted based on user feedback.

[0723] Furthermore, travel plans are visually displayed on the device in map format, allowing users to intuitively understand their planned destinations and efficient travel routes. The app also includes features to support accommodation and transportation bookings, providing users with a seamless booking experience.

[0724] Real-time information provision is another feature of this system; the server monitors weather information and traffic conditions, and can dynamically adjust plans based on that information. Multiple language interfaces are also supported, allowing for smooth system use across different language environments.

[0725] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0726] Step 1:

[0727] The user uses a device to input information such as travel destination, dates, budget, and travel preferences. This entered data is temporarily stored on the device and can be viewed through the interface. Based on the user's input, basic data is formed to define what kind of travel plan is needed.

[0728] Step 2:

[0729] The terminal sends the information entered by the user to the server. The primary communication protocols used are HTTP and HTTPS. The input information is sent in a format that can be parsed by the server (such as JSON or XML). This data is stored on the server for subsequent processing.

[0730] Step 3:

[0731] The server retrieves relevant information from the database based on the received information. Specifically, it searches for data on tourist attractions, accommodations, and transportation methods related to the destination using SQL queries. This output is a set of retrieved data, which is used as input data for the next AI processing.

[0732] Step 4:

[0733] The server generates a travel plan using a generative AI model based on the acquired information. Here, the AI ​​model expands on the input data (information on tourist destinations, accommodations, and transportation) to generate a plan that meets the user's needs. The output is a list of suggested travel plans.

[0734] Step 5:

[0735] The server sends the generated travel plan to the user's device and presents it to them. The user can review the travel plan through their device and provide feedback using the chat interface. This feedback constitutes the user's new requests and suggestions for improvement.

[0736] Step 6:

[0737] The server receives feedback from the user and analyzes it as input information. Based on this feedback, the AI ​​processes the data again and readjusts the travel plan. The output is the newly adjusted travel plan.

[0738] Step 7:

[0739] The device uses a map API to display the travel plan in map format. This allows the user to intuitively understand the places to visit and the route. This output is a visual arrangement of the travel plan.

[0740] Step 8:

[0741] The server monitors real-time information, obtaining weather and traffic data during the trip. Based on this, the travel plan can be dynamically adjusted. Users can receive this updated information on their devices, creating an environment that optimizes the travel experience.

[0742] (Application Example 1)

[0743] 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".

[0744] When planning a trip, users must consider many factors, including selecting a destination, adjusting the itinerary, managing the budget, choosing attractions, and booking accommodations and transportation. The complexity of this process makes creating a satisfying travel plan difficult. Furthermore, there are challenges such as dealing with unexpected situations during the trip and communication difficulties due to language barriers. Traditional systems have struggled to easily resolve these issues, creating a need for solutions that reduce the user burden and provide a more comfortable travel experience.

[0745] 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.

[0746] In this invention, the server includes means for receiving travel-related information from a user, means for generating a travel plan based on the received information, means for presenting the generated travel plan to the user and receiving feedback, means for readjusting the travel plan to reflect the user's feedback, means for visualizing and displaying the travel plan on a map, means for supporting reservations for accommodations and transportation, means for dynamically adjusting the plan considering real-time information during the trip, means for providing information in multiple languages, means for accepting the user's travel request in natural language using speech recognition technology, and means for presenting the generated travel plan audibly using speech synthesis technology. This enables appropriate and flexible travel planning in response to the user's requests.

[0747] "Means of receiving travel-related information from users" refers to methods for obtaining travel-related data such as destinations, dates, budgets, and travel preferences entered by users.

[0748] "Means for generating travel plans based on received information" refers to a function that analyzes acquired travel-related information and creates an optimal travel plan that meets the user's needs and conditions.

[0749] "A means of presenting generated travel plans to users and receiving feedback" refers to a process of displaying proposed plans to users and receiving their opinions and requests regarding them.

[0750] "Means of readjusting travel plans based on user feedback" refers to methods for modifying travel plans and creating more suitable plans based on user opinions and requests.

[0751] "A means of visualizing and displaying travel plans on a map" refers to a function that shows a proposed travel plan in map format, allowing users to visually understand the places they will visit and their travel routes.

[0752] "Means of supporting reservations for accommodations and transportation" refers to systems that help users efficiently proceed with the reservation process for their chosen accommodations and transportation.

[0753] "A means of dynamically adjusting the plan while considering real-time information during travel" refers to a function that reflects the latest information such as weather and traffic conditions during the travel planning process and updates the plan to be the most suitable for the conditions at that time.

[0754] "Means of providing information in multiple languages" refers to a multilingual interface that enables information to be appropriately conveyed to users who speak different languages.

[0755] "A method for accepting user travel requests in natural language using speech recognition technology" refers to a technology that allows a system to understand and process travel wishes and inquiries conveyed by users in spoken language.

[0756] "A means of presenting travel plans generated using speech synthesis technology in audio format" refers to a technology that plays back a travel plan created by a system as audio and explains it to the user.

[0757] This invention is a system that automatically generates travel plans based on user needs using AI technology. The system consists of three main elements: a server, a terminal, and the user. The role and processing of each element are described below.

[0758] Users access the system through mobile devices or home robots. Users input travel-related information, such as travel destinations, dates, budget, and travel preferences, into their devices using voice recognition or text input. The devices then transmit this information to the server via communication.

[0759] The server retrieves relevant information from the database based on the received information and generates a travel plan tailored to the user's requests using an AI algorithm. Software such as Python and TensorFlow are used for generation. Services such as Google Speech-to-Text can be used for speech recognition, and Amazon Polly can be used for speech synthesis.

[0760] The generated travel plan, including elements such as tourist attractions, accommodations, restaurants, and transportation, is sent to the device. The device visually displays the plan on a map, allowing the user to review its contents. Furthermore, using speech synthesis technology, the travel plan can be presented to the user verbally. Based on user feedback, the server readjusts the travel plan.

[0761] Furthermore, the server monitors real-time information during the trip, such as weather and traffic conditions, and dynamically adjusts the plan. This allows users to respond flexibly to unexpected situations. Users can easily make reservations for accommodations and transportation through the system.

[0762] As a concrete example, a user can ask their home robot assistant, "Suggest a travel destination for next month," and a plan will be generated that meets that request. The following prompt can also be used in a user request: "Please recommend a 3-day travel plan in Tokyo next month. I'm interested in cultural experiences."

[0763] In this way, the present invention makes it possible to provide users with personalized and adaptable travel plans.

[0764] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0765] Step 1:

[0766] The user enters their travel destination, budget, itinerary, travel preferences, etc., into the device via voice or text. The entered data is sent to the server as text data after being processed by speech recognition (if used) on the device. Google Speech-to-Text is used for speech recognition.

[0767] Step 2:

[0768] Based on the travel-related information received, the server retrieves information on appropriate tourist spots, accommodations, restaurants, etc., from its internal database and external sources. During this process, it applies an AI algorithm (a generative AI model using TensorFlow) to generate a travel plan optimized for the user's specific needs.

[0769] Step 3:

[0770] The server sends the generated travel plan to the terminal. The terminal displays the plan on a map and presents it visually to the user. It also outputs the plan as audio using speech synthesis technology (such as Amazon Polly). This step includes data conversion and processing for map rendering and speech synthesis.

[0771] Step 4:

[0772] Users review the travel plan presented through their device and provide feedback as needed. For example, they can request to add more places to visit. This feedback is sent from the device to the server and reflected in the system.

[0773] Step 5:

[0774] The server receives user feedback and readjusts the travel plan based on it. An AI model optimizes the existing plan and generates a new one. The new plan, which includes information adjusted according to the feedback, is sent to the device.

[0775] Step 6:

[0776] During your trip, the server monitors weather and traffic information in real time and dynamically adjusts your plan based on that information. New information is integrated into the plan, allowing for flexible responses. To support the user's safe and comfortable travel experience, the adjusted plan is notified to your device as it becomes available.

[0777] Through these steps, users can enjoy a seamless travel planning experience at each stage.

[0778] 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.

[0779] The travel planning system of this invention provides a more highly personalized travel experience by taking into account the user's individual needs and psychological state. This system mainly consists of a server, a terminal, and an emotion engine that recognizes emotions.

[0780] Users input travel-related information via their devices, and during this process, an emotion engine analyzes the user's emotions from their voice and text. This emotional information is sent to the server as crucial data in the process of generating and adjusting travel plans.

[0781] The server combines user input information with sentiment analysis results, searches a database, and generates the optimal travel plan. This travel plan includes destinations and activities that are best suited to the user's current psychological state, thereby improving their satisfaction during the trip.

[0782] The generated travel plan is sent to the device and presented to the user. As the user reviews the plan and provides feedback as needed, the server again utilizes the emotion engine to capture the user's emotional response and adjust the plan accordingly. This provides flexibility to respond immediately to user requests. The plan is also visualized on a map for easy viewing.

[0783] Furthermore, the booking support function has been enhanced by an emotion engine. When it detects negative emotions such as anxiety or stress, it provides appropriate support information and priority booking arrangements, creating an environment where users can enjoy their trip with peace of mind.

[0784] For example, if a user enters "I have a lot of plans in the next city I'm visiting and I'm a little tired," the server will prioritize suggesting a relaxing spa reservation or offer options to shorten travel time. Furthermore, if the emotion engine determines that the user is enjoying themselves, it will adjust the plan to maximize their current enjoyment rather than making the schedule too packed.

[0785] Thus, the system of the present invention goes beyond merely providing travel schedules; it comprehensively supports a travel experience that is tailored to the user's emotions.

[0786] The following describes the processing flow.

[0787] Step 1:

[0788] Users enter travel information using their devices, including details such as destination, dates, budget, and activities of interest.

[0789] Step 2:

[0790] The device activates an emotion engine simultaneously with the input information, collecting and analyzing emotional data from the user's text and voice input. This emotional data includes emotions such as joy, excitement, and anxiety.

[0791] Step 3:

[0792] The device formats the collected travel-related information and emotional data and sends it to the server as data packets. This allows the server to receive both the user's needs and emotional state.

[0793] Step 4:

[0794] Based on the received information, the server selects highly relevant tourist destinations, activities, and accommodations from its database. Simultaneously, it utilizes AI algorithms to generate the most suitable travel plan, taking emotional information into account.

[0795] Step 5:

[0796] The server sends the generated travel plan to the device. This plan includes special suggestions tailored to the user's emotional state; for example, a user seeking relaxation might be presented with plans for spa treatments or nature walks.

[0797] Step 6:

[0798] The user reviews the travel plan presented on the device and provides feedback. The device then uses its emotion engine again to analyze the user's emotions at the time of feedback.

[0799] Step 7:

[0800] The server analyzes user feedback and sentiment data to readjust the plan. For example, if negative emotions are detected, it suggests more comfortable options.

[0801] Step 8:

[0802] The device visualizes the revised travel plan on a map and presents the user with the final plan. This makes it easier for the user to intuitively understand the entire itinerary.

[0803] Step 9:

[0804] The server continuously collects real-time information throughout the trip and dynamically adjusts the plan. The emotion engine optimizes the travel experience by making adjustments as needed based on the user's responses.

[0805] Step 10:

[0806] The device provides information in multiple languages ​​according to the user's language settings, offering instructions and support during travel. It also works in conjunction with an emotion engine to provide guidance incorporating appropriate emotional expressions.

[0807] (Example 2)

[0808] 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".

[0809] Traditional travel planning systems relied on simple user input and did not take into account the user's psychological state or emotions. This resulted in problems such as decreased travel satisfaction and increased anxiety. In particular, they struggled to respond flexibly to unexpected situations during travel, limiting the potential for improving the user experience.

[0810] 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.

[0811] In this invention, the server includes means for receiving travel-related information from the user, means for analyzing the user's emotional state, and means for generating a personalized travel plan using a generative AI model. This makes it possible to provide a flexible and optimal travel plan that meets the user's emotional needs.

[0812] A "user" is an individual or group that uses the travel planning system, and their travel-related information and emotional state are the subjects of analysis by the system.

[0813] "Travel-related information" refers to input data that users provide regarding their travel plans, such as planned destinations, activities of interest, and travel duration.

[0814] "Emotional state" refers to the user's psychological or emotional state as analyzed by the emotion engine based on the user's voice and text input.

[0815] A "generative AI model" is an artificial intelligence algorithm used to create personalized travel plans based on received information and emotional states.

[0816] A "personalized travel plan" refers to a travel schedule that includes optimized destinations and activities, taking into account the user's input information and emotional state.

[0817] An "emotion engine" is a program or device that analyzes user input information to identify their emotions and psychological state.

[0818] This invention relates to a system for optimizing travel planning, designed to provide a more personalized travel experience by taking into account the user's individual emotional state. The system mainly consists of a terminal, a server, and an emotion engine.

[0819] Users input travel-related information using a device. This device integrates a high-performance emotion engine that identifies emotions by analyzing the user's voice and text input. The emotion engine utilizes natural language processing (NLP) and machine learning algorithms to analyze the user's emotional state. This analysis is considered a key factor in the user's travel experience.

[0820] The server integrates user input information and sentiment analysis results, and uses a generative AI model to generate a personalized travel plan. The generative AI model is built on a large amount of data and proposes a travel schedule that best suits the user's wishes and emotions. This model uses various algorithms to evaluate travel plans and select the optimal suggestion.

[0821] The generated travel plan is sent to the device and visualized on a map, allowing the user to intuitively grasp the overall picture of the trip. Furthermore, the server supports booking accommodations and transportation based on the user's emotional state, and makes arrangements to alleviate anxiety and stress. For example, if the user enters "I have a lot planned in the next city and I'm a little tired," the server can prioritize suggesting a relaxing spa reservation or offer options to shorten travel time.

[0822] A concrete example of a prompt might be: "How can I suggest the best travel plan for a user who is feeling tired due to a busy schedule in the next city? The travel plan should include relaxing activities and simplified transportation." In this way, the system can flexibly adjust the travel plan based on the user's emotions, thereby improving the user experience.

[0823] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0824] Step 1:

[0825] Users enter basic travel-related information using a terminal. Specifically, they enter planned destinations, activities of interest, and travel duration, and send the data to the server via the terminal's interface. The entered information is important as foundational data for subsequent processing.

[0826] Step 2:

[0827] The emotion engine built into the device analyzes the user's voice or text input. This analysis uses natural language processing to estimate the user's emotions and extracts data indicating whether the emotional state is positive or negative. This output data is sent to a server to develop a plan tailored to the user's emotions.

[0828] Step 3:

[0829] The server integrates basic information and sentiment analysis data received from the user. Using a generative AI model, the server generates an optimal travel plan based on the user's wishes and emotions. This generation process involves searching relevant databases and evaluating algorithms to select the best plan from a large number of options, and then outputs the generated plan as structured data.

[0830] Step 4:

[0831] The server generates a travel plan and sends it to the device. The device receives this plan and visualizes it on a map for user convenience. The user can view the visualized travel plan on the device and check the specific routes and schedule. This helps the user understand the overall plan.

[0832] Step 5:

[0833] Users input their opinions and requests regarding the travel plan via a terminal and send feedback to the server. Based on this feedback, the server uses the emotion engine again to analyze the user's new emotional state. The feedback and emotion analysis results are used to readjust the plan, updating it as needed and presenting the new plan to the user.

[0834] Step 6:

[0835] The server supports booking accommodations and transportation based on the user's emotional state. If the user is experiencing anxiety or stress, it provides supportive information and priority booking arrangements to alleviate these feelings. The server organizes this information and sends it to the user's device to help them prepare for an optimal trip.

[0836] (Application Example 2)

[0837] 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".

[0838] Traditional travel planning systems have struggled to address users' individual emotional states and psychological needs, resulting in insufficient improvements in travel satisfaction. Furthermore, their lack of flexibility in real-time adjustment of the travel experience sometimes hindered users' enjoyment of their trip.

[0839] 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.

[0840] In this invention, the server includes means for receiving user travel-related information, means for analyzing the user's emotional state and adjusting the plan accordingly, and means for recommending tourist destinations and activities that correspond to the user's emotions. This makes it possible to provide personalized travel plans that correspond to the user's individual emotional state and optimize the travel experience in real time.

[0841] "Means for receiving travel-related information from users" refers to means for obtaining information such as the purpose, destination, and itinerary of a trip provided by the user.

[0842] "Means for generating travel plans based on received information" refers to means equipped with the function of creating travel plans based on received travel-related information.

[0843] "A means of presenting generated travel plans to users and receiving feedback" refers to a means of showing users the created travel plans and receiving suggestions for improvements and changes from them.

[0844] "Means for readjusting travel plans based on user feedback" refers to a system that includes a function to modify existing travel plans based on user feedback.

[0845] "Means of visualizing and displaying travel plans on a map" refers to methods for displaying created travel plans on a map so that users can understand them visually.

[0846] "Means of supporting accommodation and transportation reservations" refers to a system equipped with functions that assist users in booking accommodation and transportation necessary for their trip.

[0847] "Methods for dynamically adjusting plans based on real-time information during travel" refers to methods that have the function of updating travel plans as they change during the trip.

[0848] "Means of providing information in multiple languages" refers to methods of providing information in multiple languages ​​so that it can be accommodated by users who speak different languages.

[0849] "Means for analyzing the user's emotional state and adjusting the plan based on that" refers to means for evaluating the user's psychological state and proposing the optimal plan accordingly.

[0850] "Means of recommending tourist destinations and activities that match the user's emotions" refers to methods for selecting and recommending tourist destinations and activities that match the user's emotional state.

[0851] To implement this invention, a system consisting mainly of a server, a terminal, and an emotion analysis engine is used. This system begins with the user inputting travel-related information from the terminal, and the emotion analysis engine analyzing that information.

[0852] The device functions as a smartphone or smart glasses, collecting voice and text data from the user. Speech recognition software (such as Google Cloud Speech-to-Text API) is used to convert the voice data into text. The text data is sent to an emotion analysis engine to analyze the user's emotional state. This process utilizes natural language processing tools like IBM Watson to evaluate the user's emotions.

[0853] The server receives the user's travel-related information and sentiment analysis results, and searches a database to generate the optimal travel plan. This process uses an AI-powered generative model to create a travel plan that meets the user's requirements.

[0854] For example, if the server indicates that the user is in a state of wanting to relax based on the information it has gathered, the server will prioritize suggesting relaxing tourist spots and activities. Furthermore, it will receive user feedback and dynamically adjust the travel plan. This process involves real-time feedback processing and implementation.

[0855] Furthermore, to enhance the user's travel experience, the service provides information in multiple languages ​​and includes a feature to adjust plans in real time, taking into account changes in conditions during travel. For example, it is possible to modify plans in response to changes in weather or congestion, optimizing the schedule.

[0856] An example of a prompt would be, "Please take the city the traveler is visiting and their emotional state as input, and suggest the best place for them to relax." By using this prompt, the generative AI model can provide a travel experience tailored to the user's specific needs.

[0857] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0858] Step 1:

[0859] The user enters travel-related information into the device. This information includes the travel destination, dates, and specific preferences. This information is then sent from the device to the server.

[0860] Step 2:

[0861] The device accepts voice input to collect the user's emotional state. The voice data is converted to text through speech recognition software, and that text is sent to an emotion analysis engine. The emotion analysis engine uses natural language processing to evaluate the user's emotions.

[0862] Step 3:

[0863] The server receives the user's travel information and sentiment analysis results, searches the database, and generates the optimal travel plan. This process utilizes a generative AI model to select tourist destinations and activities that match the user's psychological state.

[0864] Step 4:

[0865] The server presents the user with a generated travel plan. This plan includes psychologically suitable tourist destinations and activities. The user reviews the plan and enters feedback on their device.

[0866] Step 5:

[0867] The device sends user feedback to the server. The server readjusts the plan based on the feedback and updates it as needed, taking into account real-time information (such as weather and congestion).

[0868] Step 6:

[0869] The server sends the coordinated travel plan to the user's device and presents it to the user along with visualized map information. The user then uses the map information to confirm the details of their trip.

[0870] 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.

[0871] 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.

[0872] 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.

[0873] 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.

[0874] 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.

[0875] 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.

[0876] 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.

[0877] 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.

[0878] 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."

[0879] 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.

[0880] 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.

[0881] 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.

[0882] 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.

[0883] 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.

[0884] 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.

[0885] 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.

[0886] 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.

[0887] 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.

[0888] 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.

[0889] 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.

[0890] 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.

[0891] The following is further disclosed regarding the embodiments described above.

[0892] (Claim 1)

[0893] A means of receiving travel-related information from users,

[0894] A means of generating a travel plan based on the received information,

[0895] A means of presenting the generated travel plan to the user and receiving feedback,

[0896] A means of readjusting travel plans based on user feedback,

[0897] A means of visually displaying travel plans on a map,

[0898] A means to support booking accommodations and transportation,

[0899] A means of dynamically adjusting the plan while taking real-time information during the trip,

[0900] Means of providing information in multiple languages,

[0901] A system that includes this.

[0902] (Claim 2)

[0903] The system according to claim 1, which has a function to integrate weather information and congestion status in real time when generating travel plans and to select the optimal travel plan.

[0904] (Claim 3)

[0905] The system according to claim 1, comprising a function to monitor changes in external conditions during travel and automatically readjust the plan accordingly.

[0906] "Example 1"

[0907] (Claim 1)

[0908] A means of receiving travel-related information entered by the user,

[0909] A means of obtaining relevant information from a database based on the received information,

[0910] A method for creating a travel plan using a generative AI model based on acquired information,

[0911] A means of presenting the generated travel plan to the user and receiving feedback,

[0912] Taking user feedback into consideration, we have a means to readjust travel plans,

[0913] A means of visually displaying travel plans on a map,

[0914] A means of providing a reservation function to assist with accommodation and transportation procedures,

[0915] A means of dynamically adjusting the plan based on real-time environmental information during travel,

[0916] Means of providing information to users in multiple languages,

[0917] A system that includes this.

[0918] (Claim 2)

[0919] The system according to claim 1, which has a function to suggest efficient travel routes and tourist destinations using a generation AI model in the creation of travel plans.

[0920] (Claim 3)

[0921] The system according to claim 1, which has a function to notify users of plan changes through a user interface based on real-time information acquired during travel, and to automatically readjust the plan as necessary.

[0922] "Application Example 1"

[0923] (Claim 1)

[0924] A means of receiving travel-related information from users,

[0925] A means of generating a travel plan based on the received information,

[0926] A means of presenting the generated travel plan to the user and receiving feedback,

[0927] A means of readjusting travel plans based on user feedback,

[0928] A means of visually displaying travel plans on a map,

[0929] A means to support booking accommodations and transportation,

[0930] A means of dynamically adjusting the plan while taking real-time information during the trip,

[0931] Means of providing information in multiple languages,

[0932] A method for accepting user travel requests in natural language using speech recognition technology,

[0933] A means of presenting a travel plan generated using speech synthesis technology in audio,

[0934] A system that includes this.

[0935] (Claim 2)

[0936] The system according to claim 1, which has a function to integrate weather information and congestion status in real time when generating travel plans and to select the optimal travel plan.

[0937] (Claim 3)

[0938] The system according to claim 1, comprising a function to monitor changes in external conditions during travel and automatically readjust the plan accordingly.

[0939] "Example 2 of combining an emotion engine"

[0940] (Claim 1)

[0941] A means of receiving travel-related information from users,

[0942] A means for analyzing received information and the user's emotional state,

[0943] A means for generating personalized travel plans using a generative AI model based on the analysis results,

[0944] A means of presenting the generated travel plan to the user, re-evaluating the user's feelings, and receiving feedback,

[0945] Means for readjusting travel plans to reflect user feedback and emotional responses,

[0946] A means of visually displaying travel plans on a map,

[0947] A means of supporting the arrangement of accommodation and transportation based on emotional state,

[0948] Means of providing information in multiple languages,

[0949] A system that includes this.

[0950] (Claim 2)

[0951] The system according to claim 1, which includes a function for selecting points of interest and activities that take into account the user's psychological state when generating a travel plan.

[0952] (Claim 3)

[0953] The system according to claim 1, comprising a function to provide support information that reduces anxiety and stress based on the user's emotional analysis.

[0954] "Application example 2 when combining with an emotional engine"

[0955] (Claim 1)

[0956] A means of receiving travel-related information from users,

[0957] A means of generating a travel plan based on the received information,

[0958] A means of presenting the generated travel plan to the user and receiving feedback,

[0959] A means of readjusting travel plans based on user feedback,

[0960] A means of visually displaying travel plans on a map,

[0961] A means to support booking accommodations and transportation,

[0962] A means of dynamically adjusting the plan while taking real-time information during the trip,

[0963] Means of providing information in multiple languages,

[0964] A means of analyzing the user's emotional state and adjusting the plan based on that,

[0965] A means of recommending tourist destinations and activities that respond to the user's emotions,

[0966] A system that includes this.

[0967] (Claim 2)

[0968] The system according to claim 1, which has a function to integrate weather information and congestion status in real time when generating travel plans and to select the optimal travel plan.

[0969] (Claim 3)

[0970] The system according to claim 1, comprising a function to monitor changes in external conditions during travel and automatically readjust the plan accordingly. [Explanation of Symbols]

[0971] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means of receiving travel-related information from users, A means of generating a travel plan based on the received information, A means of presenting the generated travel plan to the user and receiving feedback, A means of readjusting travel plans based on user feedback, A means of visually displaying travel plans on a map, A means to support booking accommodations and transportation, A means of dynamically adjusting the plan while taking real-time information during the trip, Means of providing information in multiple languages, A method for accepting user travel requests in natural language using speech recognition technology, A means of presenting a travel plan generated using speech synthesis technology in audio, A system that includes this.

2. The system according to claim 1, which has a function to integrate weather information and congestion status in real time when generating travel plans and to select the optimal travel plan.

3. The system according to claim 1, comprising a function to monitor changes in external conditions during travel and automatically readjust the plan accordingly.

Images