system

Abstract

We provide the system. [Solution] A means for performing calculations to generate a travel plan based on user input information, A means of displaying the generated travel plan to the user and receiving feedback, A means for outputting audio guidance related to tourist destinations using an AI character, A means of communication to facilitate the sharing and interaction of travel-related information among users, A means of distributing information to promote tourist destinations and local economies, A system that includes this.

Description

Technical Field

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

Background Art

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] Conventional travel guide systems have remained at providing uniform information and have been difficult to provide personalized experiences for individual travelers. Also, to create a detailed travel plan according to specific interests and preferences of travelers, a large amount of information needs to be manually searched, which is time-consuming for users. Furthermore, communication and information sharing among travelers are insufficient, and community formation through travel has not been promoted. To solve such problems and make travel more enjoyable and fulfilling, flexible plan generation according to individual needs and real-time support during travel are necessary.

Means for Solving the Problems

[0005] This invention is a system that provides personalized travel experiences tailored to individual needs by automatically generating travel plans using an AI algorithm based on user input information. The system presents the generated travel plan to the user and incorporates user feedback. Furthermore, it utilizes an AI character to provide voice guidance related to tourist destinations, making the information accessible and easy to understand for travelers. It also includes a communication mechanism for real-time sharing of travel information among users, facilitating interaction and supporting the formation of new communities through travel. In addition, it has a function to effectively distribute promotional information about tourist destinations and local economies, contributing to regional revitalization.

[0006] "User input information" refers to data that users provide to the system, such as travel destinations, dates, budget, and preferred activities.

[0007] An "AI algorithm" is a computational method that uses artificial intelligence technology to analyze data for a specific purpose and perform predictions and optimizations.

[0008] A "travel plan" is a plan that includes the places to visit, accommodations, transportation, and budget allocation based on the travel itinerary.

[0009] "Feedback" refers to information received from users, such as their opinions and requests, which is then used to improve the system or adjust plans.

[0010] An "AI character" is a computer-generated, personified guide that interacts with users through voice and video, providing information.

[0011] "Audio guidance" is a function that uses audio to convey information and explanations about tourist destinations to travelers.

[0012] "Communication methods" refer to the technologies and infrastructure that enable users to share information and exchange messages with each other.

[0013] "Promotional information" refers to information provided as part of promotional activities by specific tourist destinations or stores, and is advertising content designed to attract the interest of travelers.

[0014] A "tourist destination" is an area that contains historical buildings, natural landscapes, cultural facilities, and other features intended for travelers to visit.

[0015] "Revitalizing the regional economy" refers to initiatives aimed at promoting economic activity in a specific region and improving the economic benefits of that region. [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]It is a sequence diagram showing the processing flow of the data processing system in Embodiment 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 Embodiment 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 a 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, a labeled processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0020] In the following embodiments, a labeled RAM (Random Access Memory) is a memory in which 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] As an embodiment of the present invention, a system that provides travelers with individually personalized travel experiences will be described.

[0038] This system functions through the interaction between a terminal, a server, and the user. The user first uses a terminal to input their needs and preferences, such as travel destination, dates, budget, desired attractions, and preferred modes of transportation. This information is then transmitted from the terminal to the server.

[0039] The server uses an AI algorithm to automatically generate travel plans based on the received travel information. It considers professional guide expertise, past travel history, and popular tourist spot data to create efficient and attractive plans. These travel plans include detailed itineraries, major destinations, accommodations, and recommended routes.

[0040] The generated travel plan is sent to the device and presented to the user. The user can review the plan and request revisions if necessary. The feedback is sent back to the server, which recalculates the plan and presents the revised plan to the device.

[0041] During travel, the device uses GPS to determine the user's current location and automatically starts an AI character voice guide when approaching a tourist spot. This voice guide provides the user with information about the history, cultural background, and surrounding attractions of the tourist spot. For example, when the user approaches a historical temple, the AI ​​character's voice will provide a guide about the temple's origins, architectural style, and the artworks it houses.

[0042] Furthermore, users can upload photos and travel experiences taken during their trips to the system via their devices, and this information is shared with other travelers via the server. This facilitates the formation of travel communities by allowing users with similar interests to exchange information. This information sharing can continue even after the trip, potentially leading to long-term interactions.

[0043] This system also features a function that allows the server to distribute promotional information received from local tourist facilities and shops to terminals. This makes it easy for users to obtain information on special offers at their travel destinations, contributing to the revitalization of the local economy. As a whole, these functions provide travelers with new travel experiences and contribute to the creation of new value through travel.

[0044] The following describes the processing flow.

[0045] Step 1:

[0046] Users use their devices to enter travel information, including destination, dates, budget, and preferred activities, and then send it to the system.

[0047] Step 2:

[0048] The terminal sends the entered travel information to the server. The server receives this information and stores it in a database for each user.

[0049] Step 3:

[0050] The server uses stored travel information and invokes an AI algorithm to generate travel plans. The necessary data includes professional guide know-how data, past user history data, and real-time tourist destination information.

[0051] Step 4:

[0052] The server sends the generated travel plan to the terminal and presents it to the user. The terminal displays the plan on the screen and asks the user for confirmation.

[0053] Step 5:

[0054] The user reviews the presented travel plan and enters any necessary modification requests. The terminal then sends the modification requests to the server.

[0055] Step 6:

[0056] The server receives the correction request as feedback from the user, recalculates and updates the plan, and then sends the updated plan back to the terminal.

[0057] Step 7:

[0058] During travel, the device uses GPS to determine the user's current location and requests information about nearby tourist attractions from a server. The server provides the relevant information and delivers voice guidance from an AI character to the device.

[0059] Step 8:

[0060] The device starts voice guidance from an AI character, providing the user with detailed information about tourist spots. The user can enjoy sightseeing while receiving guidance.

[0061] Step 9:

[0062] Users upload photos and records taken during their travels to the server via their devices. The server then shares these with other users, fostering a vibrant community.

[0063] Step 10:

[0064] The server retrieves promotional information from local tourist facilities and shops and delivers it to the user's device. The device then notifies the user and encourages them to use the service.

[0065] Through these steps, we provide users with a personalized travel experience. Furthermore, we contribute to the revitalization of the local economy through information sharing and promotion.

[0066] (Example 1)

[0067] 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."

[0068] Conventional travel planning systems have problems such as difficulty in quickly providing detailed travel plans that cater to individual user preferences and needs, and a lack of real-time guidance and information sharing. Furthermore, they have been unable to properly deliver regional promotional information to users, resulting in insufficient user experience and contribution to the local economy.

[0069] 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.

[0070] In this invention, the server includes means using a device that receives travel-related information entered by the user and transmits it as data, means using an AI model to generate a travel plan based on the data received by the server, and means using a display device that presents the generated travel plan to the user and accepts requests for modifications. This enables the rapid provision of optimal travel plans tailored to individual needs, an improved user experience, and a contribution to the local economy.

[0071] A "user" is an individual or group that uses this system to input travel-related information, generate travel plans, or retrieve information.

[0072] A "server" refers to a central processing unit that receives information from users, creates travel plans using a generational AI model, and manages information sharing and the provision of promotional information.

[0073] A "generative AI model" refers to an artificial intelligence algorithm that automatically generates travel plans based on received data. This technology utilizes past travel history and data on popular destinations to create the optimal plan.

[0074] A "travel plan" is a document that includes the itinerary, destinations, accommodation information, and recommended routes, generated based on the travel conditions specified by the user.

[0075] An "AI character" is a character controlled by artificial intelligence to provide voice guidance to users, and its role is to dynamically explain information about the history and culture of tourist destinations.

[0076] "Promotional information" refers to information about special offers and promotions related to tourist facilities and shops that are distributed with the aim of revitalizing the local economy.

[0077] GPS is a global positioning system used to determine a user's current location while traveling, and it is a technology that enables real-time location information services.

[0078] This invention is a system for providing travelers with individually personalized travel experiences. Users first use a terminal to input their needs and preferences, such as travel destination, itinerary, budget, desired tourist attractions, and preferred modes of transportation. This information is then transmitted from the terminal to a server. The terminal includes computer devices such as smartphones and tablets, and information is entered using dedicated application software.

[0079] After receiving information from the user, the server automatically generates a travel plan using a generative AI model. This AI model analyzes professional guide know-how data, an extensive database including past travel history, and data on popular tourist spots to create the optimal travel plan for the user. Specifically, the server instructs the AI ​​model using prompts such as, "Please generate a sightseeing and accommodation plan based on the itinerary for a trip to Kyoto." The generated plan is efficient and appealing, including detailed itinerary, sightseeing destinations, accommodations, and recommended routes.

[0080] The generated travel plan is sent to the terminal and presented to the user. The user can review the presented travel plan and enter a revision request if changes are needed. The terminal sends this back to the server, which then readjusts the travel plan.

[0081] During travel, the device uses GPS to determine the user's location and automatically starts voice guidance from an AI character when approaching a destination. This voice guide tells the user about the history, cultural background, and surrounding attractions of the tourist spot. For example, when the user approaches a historical temple, the device provides information about the temple's origins and architectural style in AI voice.

[0082] Furthermore, users can upload photos and travel experiences taken during their trips to the system via their devices and share them with other travelers. This promotes interaction among travelers and enables the formation of travel communities. The shared information is used as reference material by other users.

[0083] This system also features a function that allows the server to deliver promotional information received from local tourist facilities and shops to the user's terminal. This makes it easy for users to obtain information about special offers at their destination, contributing to the revitalization of the local economy. As described above, this invention aims to provide new travel experiences and create added value.

[0084] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0085] Step 1:

[0086] Users enter information such as their travel destination, itinerary, budget, desired tourist spots, and preferred modes of transportation into the terminal. The terminal processes this information as digital data and sends it to the server. This registers the specific travel conditions in the database.

[0087] Step 2:

[0088] The server receives input data from the terminal and uses this data to generate a travel plan using an AI model. The AI ​​model compares the received data with past travel data and tourist spot information to create the optimal plan. A prompt such as "Please generate a sightseeing and accommodation plan based on the itinerary for a trip to Kyoto" is used during this process. A detailed travel plan is then generated as output.

[0089] Step 3:

[0090] The server sends the generated travel plan to the terminal. The terminal displays the received plan to the user, allowing the user to visually confirm it. The user reviews the plan and enters any necessary modification requests. This input is then sent back to the server as data.

[0091] Step 4:

[0092] The server receives the user's revision request and readjusts the plan. It then recalculates the revised plan using the generation AI model again, creating an optimized plan. The revised travel plan is then sent back to the terminal and presented to the user.

[0093] Step 5:

[0094] During travel, the device tracks the user's location using GPS. When the user approaches a tourist attraction, the device automatically starts voice guidance from an AI character, providing information about the history and cultural background. This enables real-time tourist information.

[0095] Step 6:

[0096] Users upload photos and travel experiences taken during their trip to the system via their device. The device then sends this content to the server for processing and sharing with other users. The shared information becomes available to other travelers.

[0097] Step 7:

[0098] The server sends promotional information received from local tourist attractions and shops to the user's device. The device receives this information and displays it to the user. This allows users to quickly check for special offers at their destination.

[0099] (Application Example 1)

[0100] 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."

[0101] There is a need to provide personalized tourism experiences based on the individual needs of travelers, thereby improving the efficiency and convenience of tourism. Furthermore, challenges remain regarding the provision of real-time information and the promotion of communication in tourist destinations.

[0102] 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.

[0103] In this invention, the server includes means for performing calculations to generate a travel plan based on user input information; means for displaying the generated travel plan to the user and receiving feedback; means for outputting audio guidance related to tourist spots using electronic voice generation means; means for transmitting information to facilitate sharing and interaction of travel-related information among users; means for distributing promotional information for tourist spots and the local economy; means for acquiring the user's current location information and providing real-time tourist guidance based on it; and means for adjusting the content of the audio guidance based on the user's selected electronic voice character settings and language. This enables the provision of individually personalized travel experiences and real-time sharing of information.

[0104] The term "user" refers to the individual travelers or users who utilize a travel system.

[0105] "Input information" refers to information provided by travelers, such as destination, itinerary, budget, desired sightseeing spots, and type of transportation.

[0106] A "travel plan" refers to a plan that includes the travel itinerary, destinations, accommodations, and recommended routes, generated based on the user's input information and related data.

[0107] "Electronic voice generation means" refers to technologies and devices for reproducing tourist information and guides as audio.

[0108] A "tourist spot" refers to a geographical location or region that travelers visit for their own purposes.

[0109] "Means of communication" refers to communication technologies and systems that enable users to share travel information and facilitate interaction among themselves.

[0110] "Promotional information" refers to information that shows promotions and special offers related to tourist destinations and the local economy.

[0111] "Current location information" refers to data indicating the user's geographical location, obtained through GPS or other location-based technologies.

[0112] A "real-time guide" refers to tourist information or guides that are provided instantly based on the current situation and location.

[0113] "Means of adjustment" refers to technologies and methods for appropriately modifying guidance content based on the user's selected settings and language.

[0114] The system implementing this invention operates by combining various means to generate a personalized travel plan based on user input information. First, the server receives travel-related requests (destination, dates, budget, etc.) entered by the user from their terminal. Based on this information, the server uses an AI algorithm to automatically generate an efficient and attractive travel plan. This calculation utilizes external data sources such as past travel data, the know-how of professional guides, and popular tourist spots.

[0115] The generated travel plan is sent to the user's device, and the user can view the plan before their trip. Feedback on the travel plan is welcomed, and a revised plan will be provided as needed. During the trip, the device acquires the user's current location via GPS, and an AI character voice guide service automatically starts when approaching a tourist destination. This voice guide includes detailed information about the history and cultural background of the tourist spot, as well as surrounding attractions.

[0116] As a concrete example, imagine a user visiting a historical city. When the user approaches a historical building, the device automatically guides them through the building's history and origins using an AI character's voice. Furthermore, the user can upload images taken with the device during their trip and share this information in real time with other users who share similar interests. This facilitates communication and interaction among travelers.

[0117] The key to realizing this system lies in AI model generation technology. An example of a prompt message could be, "Generate a detailed audio guide about the historical building the user is visiting. They want to learn about the building's history and cultural background." This information is processed by the AI ​​model on the server, forming the foundation for providing users with a wealth of information.

[0118] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0119] Step 1:

[0120] The user uses a terminal to register information such as their travel destination, itinerary, budget, desired tourist spots, and preferred mode of transportation into the system. This information is then transmitted to the server in digital format.

[0121] Step 2:

[0122] The server analyzes the user's input information and references relevant data sources (such as professional guide know-how data, past travel history, and popular tourist spot data). Based on this, a generating AI model calculates and generates the optimal travel plan. In this process, the input information is analyzed and output in the form of a travel plan.

[0123] Step 3:

[0124] The generated travel plan is sent to the device in digital format. The user can review the travel plan on the device and send feedback to the system. The server receives this feedback, recalculates the travel plan as needed, and generates a revised plan.

[0125] Step 4:

[0126] During travel, the device uses GPS to determine the user's current location. When approaching a tourist attraction, the server activates an AI character and begins an audio guide related to that attraction. The AI ​​model processes the user's current location information to provide appropriate audio guidance in real time.

[0127] Step 5:

[0128] Users upload photos and videos taken with their devices to the system, sharing information with other travelers. This information is distributed to other users via the server, stimulating interaction among travelers with similar interests. The server aggregates and appropriately displays the data, making it possible to promote long-term interaction.

[0129] 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.

[0130] As an embodiment of the present invention, a system that recognizes a user's emotions and optimizes the travel experience based on those emotions will be described.

[0131] This system works by combining a user's device, a server, and an emotion engine. First, the user inputs their travel destination, itinerary, budget, and preferred activities via the device and sends them to the system. Simultaneously, the device has an emotion engine that detects emotions from the user's facial expressions, voice, and input data. This emotion data is sent to the server in real time.

[0132] The server uses an AI algorithm to generate travel plans based on acquired travel information and emotional data. Emotional data is reflected in the plan; for example, if the user is stressed, it suggests relaxing spots, while if they are seeking excitement, it provides more active activities. This creates a personalized travel plan tailored to the user's emotional state.

[0133] The generated travel plan is sent to the device and presented to the user. As the user acts according to the plan during the trip, the device continuously monitors the user's emotional state using an emotion engine and requests adjustments to the plan from the server as needed. For example, if the user becomes anxious due to a sudden change in weather, the system will take action such as switching to a plan that can be enjoyed indoors.

[0134] Furthermore, the AI ​​character's voice guidance during travel is adjusted based on the user's recognized emotions. When the user is excited, the guidance is given in an energetic tone, and conversely, when the user wants to relax, the guidance is given in a calm tone. This makes the user experience more deeply tailored to each individual.

[0135] Furthermore, this system enables users to share experiences and promotes interaction between users with similar hobbies and experiences based on emotional data. This fosters the formation of travel communities through empathy and understanding, enabling diverse interactions.

[0136] As a concrete example, consider a user visiting a foreign city. In this case, the user may feel anxious in a new environment, so the system senses this emotion through its emotion engine and suggests matching the user with tourist information that supports a wide range of languages ​​or a reassuring local guide. In this way, optimal support is provided based on the user's specific emotions.

[0137] The following describes the processing flow.

[0138] Step 1:

[0139] Users enter travel information via their device. This information includes destination, dates, budget, and preferred activities.

[0140] Step 2:

[0141] An emotion engine built into the device analyzes the user's facial expressions and voice tone to collect user emotion data.

[0142] Step 3:

[0143] The terminal sends input travel information and emotional data to the server. The server receives this information and stores it in a user-specific database.

[0144] Step 4:

[0145] The server applies AI algorithms to generate personalized travel plans based on travel information and emotional data. It dynamically adjusts the plan, taking into account the emotional state indicated by the emotional data.

[0146] Step 5:

[0147] The generated travel plan is sent to the device and displayed to the user. The device provides an interface that allows the user to review the plan and send feedback.

[0148] Step 6:

[0149] During the trip, the device continuously monitors the user's emotional state. If new emotional data is detected, the device sends this information to the server and requests readjustment of the travel plan as needed.

[0150] Step 7:

[0151] Based on the newly received emotion data, the server re-optimizes the travel plan and provides the updated plan to the device.

[0152] Step 8:

[0153] The device provides voice guidance from an AI character. This voice guidance is adjusted according to the user's emotional state; for example, if the user is excited, the character will raise their energy level while providing explanations.

[0154] Step 9:

[0155] Users share their travel experiences and emotional data with other users through their devices. This fosters empathy and interaction within the community.

[0156] Step 10:

[0157] After a trip, users can review their past emotional data through the system to help plan their next trip. The server analyzes this data and uses it to provide better services.

[0158] (Example 2)

[0159] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0160] Accurately understanding the diverse emotional states of users during their travels and providing them with the optimal travel experience accordingly is challenging. Furthermore, dynamically adjusting travel plans to accommodate individual user needs and anxieties, as well as facilitating smooth communication across language and cultural barriers, present significant challenges.

[0161] 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.

[0162] In this invention, the server includes means for performing calculations to generate a travel plan in response to user input, means for analyzing the user's emotional state using an emotion detection engine, and means for transmitting and displaying the generated travel plan on a terminal. This enables the generation of a travel plan that corresponds to the user's emotional state and allows for dynamic adjustments.

[0163] "User input" refers to information including travel destination, itinerary, budget, and preferred activities, and is data that the user provides to the system through their device.

[0164] An "emotion detection engine" is software that analyzes and quantifies a user's emotional state in real time based on their facial expressions, tone of voice, and input actions.

[0165] A "travel plan" is a proposed travel itinerary generated by an AI model based on user input information and emotional data, and includes the selection of activities and tourist destinations.

[0166] An "AI model" is a computational method that uses large amounts of historical data and machine learning algorithms to provide choices that are tailored to the user's preferences and emotions.

[0167] A "terminal" is an electronic device used by users to input information, receive travel plans, and provide feedback.

[0168] "Voice output" is a function that allows users to receive plans and instructions generated through an AI character via voice.

[0169] "Communication" refers to technologies that allow users to share travel experiences and emotional data, and to exchange information through a network.

[0170] "Recalculation" is the process by which the server reconstructs the travel plan based on new data in order to dynamically adjust the plan in response to unexpected events or weather changes.

[0171] This invention is a system that detects a user's emotions and optimizes the travel experience based on those emotions. The system consists of a user's terminal, a server, and an emotion detection engine, and functions as follows:

[0172] First, the user uses their device to input information such as their travel destination, itinerary, budget, and preferred activities. The device has a built-in emotion detection engine that uses the camera, microphone, and input device to detect emotions in real time from the user's facial expressions, tone of voice, and typing speed. This data is collected by the device and sent to the server.

[0173] Next, the server uses an AI model to generate a travel plan tailored to the user's emotions, based on the submitted travel information and emotional data. This AI model has learned from past data and suggests the optimal plan according to the user's current emotional state. For example, it will create a plan that includes relaxing spots for users in a low-stress state and active activities for users in an excited state.

[0174] The generated travel plan is sent to the device and displayed visually to the user. The user can follow this plan during the trip, but the device continuously monitors the user's emotions throughout the trip and requests adjustments to the plan from the system as needed. For example, if the user shows anxiety due to unexpected weather changes, the system will switch the plan to indoor activities.

[0175] Furthermore, during the trip, an AI character provides voice guidance, adjusting the tone of the guidance based on the user's perceived emotions. This enables a more personalized and optimized experience tailored to the user's needs.

[0176] Specific examples of prompt messages include: "Generate the optimal travel plan based on the user's emotional data and travel information. Specify the spots where the user wants to relax and the conditions for providing active activities."

[0177] In this way, we can provide a travel experience tailored to each individual user, resulting in highly satisfying trips.

[0178] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0179] Step 1:

[0180] The user enters their travel destination, dates, budget, and preferred activities into the device. This allows the user to communicate their specific travel preferences to the system. The entered data is temporarily stored by the device. Here, data is collected using text boxes and dropdown menus.

[0181] Step 2:

[0182] The device uses an emotion detection engine to detect emotions in real time from the user's facial expressions, voice tone, and typing speed. Specifically, it captures facial expressions with a camera and analyzes voice characteristics through a microphone. The input is the user's physical behavior, and the output is quantified emotional state data. This data is then sent to a server.

[0183] Step 3:

[0184] The server uses an AI model to generate travel plans based on the user's submitted travel information and sentiment data. It leverages historical trend data and feedback from similar users to suggest the optimal plan. The input is the user's preferences and sentiment data, and the output is a customized travel plan. This plan includes options that align with the user's sentiments.

[0185] Step 4:

[0186] The generated travel plan is sent to the terminal and displayed to the user. The terminal provides a visually intuitive interface, allowing the user to easily understand the plan details. Here, the user is presented with a list of travel itineraries and activities. The input is plan data from the server, and the output is a request for approval or adjustment based on the user's confirmation.

[0187] Step 5:

[0188] After the user begins their trip, the device continuously monitors their emotions using an emotion detection engine. The emotion data obtained is sent to the server at regular intervals. The input is the user's emotions during the trip, and the output is their real-time emotional state. The server uses this data to determine if any adjustments to the plan are necessary.

[0189] Step 6:

[0190] The server recalculates the travel plan based on new emotional data as needed, providing the terminal with a dynamically adjusted plan tailored to the user's preferences. The input is continuously transmitted new emotional state data, and the output is the adjusted travel plan. This ensures the user experience is always optimized.

[0191] The above outlines the specific processing flow of this system, which enables the personalized delivery of travel experiences based on the user's emotions and preferences.

[0192] (Application Example 2)

[0193] 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".

[0194] Modern travelers seek personalized travel experiences tailored to their emotions and preferences. However, traditional travel plans are often uniform and fail to provide the optimal experience for travelers in real time, considering their emotions and circumstances. This invention aims to solve this problem by providing a means to optimize the travel experience based on the user's emotions and generating the optimal plan to meet the individual needs of each traveler.

[0195] 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.

[0196] In this invention, the server includes means for performing calculations to generate a travel plan based on the user's input information and emotional state; means for displaying the generated travel plan and recommended information according to the user's emotions and for receiving feedback; and means for outputting information to provide tourist destination-related guidance by an AI character according to the user's emotional state. This enables a personalized, real-time travel experience that responds to the user's emotions.

[0197] "User input information" refers to pre-trip information that travelers provide to the system, such as their travel destination, itinerary, budget, and preferred activities.

[0198] "Emotional state" refers to psychological reactions and moods detected in real time from the user's facial expressions, voice, input data, etc.

[0199] "Means for generating travel plans" refers to devices or programs that automatically assemble the optimal travel schedule and activities based on the user's input information and emotional state.

[0200] An "AI character" refers to a virtual human character that changes its voice and posture according to the user's emotional state when providing travel guidance.

[0201] "Recommended information" refers to information about tourist destinations and activities that are suggested based on the user's emotions and travel information.

[0202] "Real-time travel experience" refers to providing sightseeing plans that are adjusted on the spot according to the user's current location and circumstances.

[0203] The system implementing this invention consists of a user terminal and a server. The terminal incorporates an emotion engine that analyzes emotional states in real time. This emotion engine uses OpenCV and TENSORFLOW® to analyze the user's facial expressions and converts voice data into emotion data. When the user enters travel information into the terminal, that information and the acquired emotion data are sent to the server.

[0204] The server, equipped with AI algorithms, generates optimal travel plans based on user input and emotional state. It utilizes Google Cloud AI and AWS AI as cloud services, allowing for flexible use of computing resources. The generated plan is dynamically adjusted to take into account the user's emotions, the weather on the day, and local congestion levels.

[0205] For example, if a user's device detects fatigue while they are walking in a city, the server will recommend nearby cafes or parks where they can rest. Similarly, if a traveler is detected as excited while visiting a museum, the system will suggest related art events or exhibitions to help maintain their excitement.

[0206] Examples of prompts include, "Explain how the system suggests quiet tourist destinations when the user wants to relax," and "Describe how to recommend activities for travelers when they are excited." Based on the information the user receives and the actions they take, emotional data is continuously collected from the device, and the server fine-tunes the plan as needed to provide the user with the best possible travel experience.

[0207] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0208] Step 1:

[0209] Users register information such as their travel destination, dates, budget, and preferred activities on their device. The input data is processed within the device and organized as initial travel plan data.

[0210] Step 2:

[0211] The device's emotion engine collects the user's facial expressions and voice data in real time and performs emotion analysis using OpenCV and TensorFlow. The acquired emotion data is quantified and sent to the server along with the travel plan data.

[0212] Step 3:

[0213] The server uses AI algorithms to generate travel plans based on the received travel information and sentiment data. Specifically, it uses Google Cloud AI and AWS AI to optimize tourist destinations and activities according to the user's sentiment. As output, a recommended travel plan is generated.

[0214] Step 4:

[0215] The generated travel plan is sent to the device and displayed to the user. The user can provide feedback on the presented plan, and this information is sent back to the server to help readjust the plan.

[0216] Step 5:

[0217] Once the user begins their trip, the device continuously monitors emotional data and transmits it to the server in real time along with location information.

[0218] Step 6:

[0219] The server dynamically adjusts the travel plan based on the real-time sentiment and location data it receives. For example, if the user is feeling down, it suggests relaxing activities. The adjusted plan is then sent back to the device.

[0220] Step 7:

[0221] An AI character provides tourist information based on the user's latest emotional data. The tone of the guidance changes according to the user's emotions, enhancing the user's travel experience.

[0222] 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.

[0223] 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.

[0224] 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.

[0225] [Second Embodiment]

[0226] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0227] 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.

[0228] 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).

[0229] 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.

[0230] 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.

[0231] 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).

[0232] 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.

[0233] 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.

[0234] 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.

[0235] 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.

[0236] 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.

[0237] 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".

[0238] As an embodiment of the present invention, a system that provides travelers with individually personalized travel experiences will be described.

[0239] This system functions through the interaction between a terminal, a server, and the user. The user first uses a terminal to input their needs and preferences, such as travel destination, dates, budget, desired attractions, and preferred modes of transportation. This information is then transmitted from the terminal to the server.

[0240] The server uses an AI algorithm to automatically generate travel plans based on the received travel information. It considers professional guide expertise, past travel history, and popular tourist spot data to create efficient and attractive plans. These travel plans include detailed itineraries, major destinations, accommodations, and recommended routes.

[0241] The generated travel plan is sent to the device and presented to the user. The user can review the plan and request revisions if necessary. The feedback is sent back to the server, which recalculates the plan and presents the revised plan to the device.

[0242] During travel, the device uses GPS to determine the user's current location and automatically starts an AI character voice guide when approaching a tourist spot. This voice guide provides the user with information about the history, cultural background, and surrounding attractions of the tourist spot. For example, when the user approaches a historical temple, the AI ​​character's voice will provide a guide about the temple's origins, architectural style, and the artworks it houses.

[0243] Furthermore, users can upload photos and travel experiences taken during their trips to the system via their devices, and this information is shared with other travelers via the server. This facilitates the formation of travel communities by allowing users with similar interests to exchange information. This information sharing can continue even after the trip, potentially leading to long-term interactions.

[0244] This system also features a function that allows the server to distribute promotional information received from local tourist facilities and shops to terminals. This makes it easy for users to obtain information on special offers at their travel destinations, contributing to the revitalization of the local economy. As a whole, these functions provide travelers with new travel experiences and contribute to the creation of new value through travel.

[0245] The following describes the processing flow.

[0246] Step 1:

[0247] Users use their devices to enter travel information, including destination, dates, budget, and preferred activities, and then send it to the system.

[0248] Step 2:

[0249] The terminal sends the entered travel information to the server. The server receives this information and stores it in a database for each user.

[0250] Step 3:

[0251] The server uses stored travel information and invokes an AI algorithm to generate travel plans. The necessary data includes professional guide know-how data, past user history data, and real-time tourist destination information.

[0252] Step 4:

[0253] The server sends the generated travel plan to the terminal and presents it to the user. The terminal displays the plan on the screen and asks the user for confirmation.

[0254] Step 5:

[0255] The user reviews the presented travel plan and enters any necessary modification requests. The terminal then sends the modification requests to the server.

[0256] Step 6:

[0257] The server receives the correction request as feedback from the user, recalculates and updates the plan, and then sends the updated plan back to the terminal.

[0258] Step 7:

[0259] During travel, the device uses GPS to determine the user's current location and requests information about nearby tourist attractions from a server. The server provides the relevant information and delivers voice guidance from an AI character to the device.

[0260] Step 8:

[0261] The device starts voice guidance from an AI character, providing the user with detailed information about tourist spots. The user can enjoy sightseeing while receiving guidance.

[0262] Step 9:

[0263] Users upload photos and records taken during their travels to the server via their devices. The server then shares these with other users, fostering a vibrant community.

[0264] Step 10:

[0265] The server retrieves promotional information from local tourist facilities and shops and delivers it to the user's device. The device then notifies the user and encourages them to use the service.

[0266] Through these steps, we provide users with a personalized travel experience. Furthermore, we contribute to the revitalization of the local economy through information sharing and promotion.

[0267] (Example 1)

[0268] 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."

[0269] Conventional travel planning systems have problems such as difficulty in quickly providing detailed travel plans that cater to individual user preferences and needs, and a lack of real-time guidance and information sharing. Furthermore, they have been unable to properly deliver regional promotional information to users, resulting in insufficient user experience and contribution to the local economy.

[0270] 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.

[0271] In this invention, the server includes means using a device that receives travel-related information entered by the user and transmits it as data, means using an AI model to generate a travel plan based on the data received by the server, and means using a display device that presents the generated travel plan to the user and accepts requests for modifications. This enables the rapid provision of optimal travel plans tailored to individual needs, an improved user experience, and a contribution to the local economy.

[0272] A "user" is an individual or group that uses this system to input travel-related information, generate travel plans, or retrieve information.

[0273] A "server" refers to a central processing unit that receives information from users, creates travel plans using a generational AI model, and manages information sharing and the provision of promotional information.

[0274] A "generative AI model" refers to an artificial intelligence algorithm that automatically generates travel plans based on received data. This technology utilizes past travel history and data on popular destinations to create the optimal plan.

[0275] A "travel plan" is a document that includes the itinerary, destinations, accommodation information, and recommended routes, generated based on the travel conditions specified by the user.

[0276] An "AI character" is a character controlled by artificial intelligence to provide voice guidance to users, and its role is to dynamically explain information about the history and culture of tourist destinations.

[0277] "Promotional information" refers to information about special offers and promotions related to tourist facilities and shops that are distributed with the aim of revitalizing the local economy.

[0278] GPS is a global positioning system used to determine a user's current location while traveling, and it is a technology that enables real-time location information services.

[0279] This invention is a system for providing travelers with individually personalized travel experiences. Users first use a terminal to input their needs and preferences, such as travel destination, itinerary, budget, desired tourist attractions, and preferred modes of transportation. This information is then transmitted from the terminal to a server. The terminal includes computer devices such as smartphones and tablets, and information is entered using dedicated application software.

[0280] After receiving information from the user, the server automatically generates a travel plan using a generative AI model. This AI model analyzes professional guide know-how data, an extensive database including past travel history, and data on popular tourist spots to create the optimal travel plan for the user. Specifically, the server instructs the AI ​​model using prompts such as, "Please generate a sightseeing and accommodation plan based on the itinerary for a trip to Kyoto." The generated plan is efficient and appealing, including detailed itinerary, sightseeing destinations, accommodations, and recommended routes.

[0281] The generated travel plan is sent to the terminal and presented to the user. The user can review the presented travel plan and enter a revision request if changes are needed. The terminal sends this back to the server, which then readjusts the travel plan.

[0282] During travel, the device uses GPS to determine the user's location and automatically starts voice guidance from an AI character when approaching a destination. This voice guide tells the user about the history, cultural background, and surrounding attractions of the tourist spot. For example, when the user approaches a historical temple, the device provides information about the temple's origins and architectural style in AI voice.

[0283] Furthermore, users can upload photos and travel experiences taken during their trips to the system through their terminals and share them with other travelers. This promotes communication among travelers and enables the formation of a travel community. The shared information is used as a reference for other users.

[0284] This system also has a function for the server to distribute promotion information received from local tourist facilities and stores to the users' terminals. This allows users to easily obtain privilege information at their destinations and contribute to the activation of the local economy. As described above, this invention aims to provide a new travel experience and create added value.

[0285] The flow of the specific process in Example 1 will be described using FIG. 11.

[0286] Step 1:

[0287] The user inputs information such as the destination, schedule, budget, tourist spots to visit, and transportation means to use for the trip into the terminal. The terminal processes this information as digital data and sends it to the server. As a result, specific travel conditions are registered in the database.

[0288] Step 2:

[0289] The server receives the input data from the terminal and generates a travel plan using an AI model generated based on this data. The AI model collates past travel data and tourist spot information based on the received data and creates an optimal plan. At this time, a prompt sentence such as "Please generate a sightseeing and accommodation plan based on the schedule of the Kyoto trip" is used. As an output, a detailed travel plan is generated.

[0290] Step 3:

[0291] The server sends the generated travel plan to the terminal. The terminal displays the received plan to the user, allowing the user to visually confirm it. The user reviews the plan and enters any necessary modification requests. This input is then sent back to the server as data.

[0292] Step 4:

[0293] The server receives the user's revision request and readjusts the plan. It then recalculates the revised plan using the generation AI model again, creating an optimized plan. The revised travel plan is then sent back to the terminal and presented to the user.

[0294] Step 5:

[0295] During travel, the device tracks the user's location using GPS. When the user approaches a tourist attraction, the device automatically starts voice guidance from an AI character, providing information about the history and cultural background. This enables real-time tourist information.

[0296] Step 6:

[0297] Users upload photos and travel experiences taken during their trip to the system via their device. The device then sends this content to the server for processing and sharing with other users. The shared information becomes available to other travelers.

[0298] Step 7:

[0299] The server sends promotional information received from local tourist attractions and shops to the user's device. The device receives this information and displays it to the user. This allows users to quickly check for special offers at their destination.

[0300] (Application Example 1)

[0301] Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as a "server", and the smart glasses 214 are referred to as a "terminal".

[0302] There is a demand to provide a personalized tourism experience based on the individual needs of travelers and improve the efficiency and convenience of tourism. Also, there are issues regarding real-time information provision and communication promotion at tourist destinations.

[0303] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0304] In this invention, the server includes means for performing an operation to generate a travel plan based on the input information of the user, means for performing a display to present the generated travel plan to the user and receive opinions, means for performing an output to provide an audio guide related to tourist spots using an electronic voice generation means, means for performing a transmission to share information related to travel among users and promote communication, means for performing a distribution to provide promotional information of tourist spots and regional economies, means for acquiring the current location information of the user and performing real-time tourism guidance based on it, and means for performing an adjustment to change the content of the audio guide based on the setting and language of the electronic voice character selected by the user. Thereby, it becomes possible to provide an individually personalized travel experience and real-time sharing of information.

[0305] "User" is a concept referring to individual travelers and users who use the travel system.

[0306] "Input information" refers to information such as the destination, schedule, budget, tourist destination of interest, and type of transportation means provided by the traveler.

[0307] "Travel plan" refers to a plan including the schedule of travel, visited places, accommodation facilities, recommended routes, etc. generated based on the input information of the user and related data.

[0308] "Electronic voice generation means" refers to technologies and devices for reproducing tourist information and guides as audio.

[0309] A "tourist spot" refers to a geographical location or region that travelers visit for their own purposes.

[0310] "Means of communication" refers to communication technologies and systems that enable users to share travel information and facilitate interaction among themselves.

[0311] "Promotional information" refers to information that shows promotions and special offers related to tourist destinations and the local economy.

[0312] "Current location information" refers to data indicating the user's geographical location, obtained through GPS or other location-based technologies.

[0313] A "real-time guide" refers to tourist information or guides that are provided instantly based on the current situation and location.

[0314] "Means of adjustment" refers to technologies and methods for appropriately modifying guidance content based on the user's selected settings and language.

[0315] The system implementing this invention operates by combining various means to generate a personalized travel plan based on user input information. First, the server receives travel-related requests (destination, dates, budget, etc.) entered by the user from their terminal. Based on this information, the server uses an AI algorithm to automatically generate an efficient and attractive travel plan. This calculation utilizes external data sources such as past travel data, the know-how of professional guides, and popular tourist spots.

[0316] The generated travel plan is sent to the user's device, and the user can view the plan before their trip. Feedback on the travel plan is welcomed, and a revised plan will be provided as needed. During the trip, the device acquires the user's current location via GPS, and an AI character voice guide service automatically starts when approaching a tourist destination. This voice guide includes detailed information about the history and cultural background of the tourist spot, as well as surrounding attractions.

[0317] As a concrete example, imagine a user visiting a historical city. When the user approaches a historical building, the device automatically guides them through the building's history and origins using an AI character's voice. Furthermore, the user can upload images taken with the device during their trip and share this information in real time with other users who share similar interests. This facilitates communication and interaction among travelers.

[0318] The key to realizing this system lies in AI model generation technology. An example of a prompt message could be, "Generate a detailed audio guide about the historical building the user is visiting. They want to learn about the building's history and cultural background." This information is processed by the AI ​​model on the server, forming the foundation for providing users with a wealth of information.

[0319] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0320] Step 1:

[0321] The user uses a terminal to register information such as their travel destination, itinerary, budget, desired tourist spots, and preferred mode of transportation into the system. This information is then transmitted to the server in digital format.

[0322] Step 2:

[0323] The server analyzes the user's input information and references relevant data sources (such as professional guide know-how data, past travel history, and popular tourist spot data). Based on this, a generating AI model calculates and generates the optimal travel plan. In this process, the input information is analyzed and output in the form of a travel plan.

[0324] Step 3:

[0325] The generated travel plan is sent to the device in digital format. The user can review the travel plan on the device and send feedback to the system. The server receives this feedback, recalculates the travel plan as needed, and generates a revised plan.

[0326] Step 4:

[0327] During travel, the device uses GPS to determine the user's current location. When approaching a tourist attraction, the server activates an AI character and begins an audio guide related to that attraction. The AI ​​model processes the user's current location information to provide appropriate audio guidance in real time.

[0328] Step 5:

[0329] Users upload photos and videos taken with their devices to the system, sharing information with other travelers. This information is distributed to other users via the server, stimulating interaction among travelers with similar interests. The server aggregates and appropriately displays the data, making it possible to promote long-term interaction.

[0330] 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.

[0331] As an embodiment of the present invention, a system that recognizes a user's emotions and optimizes the travel experience based on those emotions will be described.

[0332] This system works by combining a user's device, a server, and an emotion engine. First, the user inputs their travel destination, itinerary, budget, and preferred activities via the device and sends them to the system. Simultaneously, the device has an emotion engine that detects emotions from the user's facial expressions, voice, and input data. This emotion data is sent to the server in real time.

[0333] The server uses an AI algorithm to generate travel plans based on acquired travel information and emotional data. Emotional data is reflected in the plan; for example, if the user is stressed, it suggests relaxing spots, while if they are seeking excitement, it provides more active activities. This creates a personalized travel plan tailored to the user's emotional state.

[0334] The generated travel plan is sent to the device and presented to the user. As the user acts according to the plan during the trip, the device continuously monitors the user's emotional state using an emotion engine and requests adjustments to the plan from the server as needed. For example, if the user becomes anxious due to a sudden change in weather, the system will take action such as switching to a plan that can be enjoyed indoors.

[0335] Furthermore, the AI ​​character's voice guidance during travel is adjusted based on the user's recognized emotions. When the user is excited, the guidance is given in an energetic tone, and conversely, when the user wants to relax, the guidance is given in a calm tone. This makes the user experience more deeply tailored to each individual.

[0336] Furthermore, this system enables users to share experiences and promotes interaction between users with similar hobbies and experiences based on emotional data. This fosters the formation of travel communities through empathy and understanding, enabling diverse interactions.

[0337] As a concrete example, consider a user visiting a foreign city. In this case, the user may feel anxious in a new environment, so the system senses this emotion through its emotion engine and suggests matching the user with tourist information that supports a wide range of languages ​​or a reassuring local guide. In this way, optimal support is provided based on the user's specific emotions.

[0338] The following describes the processing flow.

[0339] Step 1:

[0340] Users enter travel information via their device. This information includes destination, dates, budget, and preferred activities.

[0341] Step 2:

[0342] An emotion engine built into the device analyzes the user's facial expressions and voice tone to collect user emotion data.

[0343] Step 3:

[0344] The terminal sends input travel information and emotional data to the server. The server receives this information and stores it in a user-specific database.

[0345] Step 4:

[0346] The server applies AI algorithms to generate personalized travel plans based on travel information and emotional data. It dynamically adjusts the plan, taking into account the emotional state indicated by the emotional data.

[0347] Step 5:

[0348] The generated travel plan is sent to the device and displayed to the user. The device provides an interface that allows the user to review the plan and send feedback.

[0349] Step 6:

[0350] During the trip, the device continuously monitors the user's emotional state. If new emotional data is detected, the device sends this information to the server and requests readjustment of the travel plan as needed.

[0351] Step 7:

[0352] Based on the newly received emotion data, the server re-optimizes the travel plan and provides the updated plan to the device.

[0353] Step 8:

[0354] The device provides voice guidance from an AI character. This voice guidance is adjusted according to the user's emotional state; for example, if the user is excited, the character will raise their energy level while providing explanations.

[0355] Step 9:

[0356] Users share their travel experiences and emotional data with other users through their devices. This fosters empathy and interaction within the community.

[0357] Step 10:

[0358] After a trip, users can review their past emotional data through the system to help plan their next trip. The server analyzes this data and uses it to provide better services.

[0359] (Example 2)

[0360] 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".

[0361] Accurately understanding the diverse emotional states of users during their travels and providing them with the optimal travel experience accordingly is challenging. Furthermore, dynamically adjusting travel plans to accommodate individual user needs and anxieties, as well as facilitating smooth communication across language and cultural barriers, present significant challenges.

[0362] 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.

[0363] In this invention, the server includes means for performing calculations to generate a travel plan in response to user input, means for analyzing the user's emotional state using an emotion detection engine, and means for transmitting and displaying the generated travel plan on a terminal. This enables the generation of a travel plan that corresponds to the user's emotional state and allows for dynamic adjustments.

[0364] "User input" refers to information including travel destination, itinerary, budget, and preferred activities, and is data that the user provides to the system through their device.

[0365] An "emotion detection engine" is software that analyzes and quantifies a user's emotional state in real time based on their facial expressions, tone of voice, and input actions.

[0366] A "travel plan" is a proposed travel itinerary generated by an AI model based on user input information and emotional data, and includes the selection of activities and tourist destinations.

[0367] An "AI model" is a computational method that uses large amounts of historical data and machine learning algorithms to provide choices that are tailored to the user's preferences and emotions.

[0368] A "terminal" is an electronic device used by users to input information, receive travel plans, and provide feedback.

[0369] "Voice output" is a function that allows users to receive plans and instructions generated through an AI character via voice.

[0370] "Communication" refers to technologies that allow users to share travel experiences and emotional data, and to exchange information through a network.

[0371] "Recalculation" is the process by which the server reconstructs the travel plan based on new data in order to dynamically adjust the plan in response to unexpected events or weather changes.

[0372] This invention is a system that detects a user's emotions and optimizes the travel experience based on those emotions. The system consists of a user's terminal, a server, and an emotion detection engine, and functions as follows:

[0373] First, the user uses their device to input information such as their travel destination, itinerary, budget, and preferred activities. The device has a built-in emotion detection engine that uses the camera, microphone, and input device to detect emotions in real time from the user's facial expressions, tone of voice, and typing speed. This data is collected by the device and sent to the server.

[0374] Next, the server uses an AI model to generate a travel plan tailored to the user's emotions, based on the submitted travel information and emotional data. This AI model has learned from past data and suggests the optimal plan according to the user's current emotional state. For example, it will create a plan that includes relaxing spots for users in a low-stress state and active activities for users in an excited state.

[0375] The generated travel plan is sent to the device and displayed visually to the user. The user can follow this plan during the trip, but the device continuously monitors the user's emotions throughout the trip and requests adjustments to the plan from the system as needed. For example, if the user shows anxiety due to unexpected weather changes, the system will switch the plan to indoor activities.

[0376] Furthermore, during the trip, an AI character provides voice guidance, adjusting the tone of the guidance based on the user's perceived emotions. This enables a more personalized and optimized experience tailored to the user's needs.

[0377] Specific examples of prompt messages include: "Generate the optimal travel plan based on the user's emotional data and travel information. Specify the spots where the user wants to relax and the conditions for providing active activities."

[0378] In this way, we can provide a travel experience tailored to each individual user, resulting in highly satisfying trips.

[0379] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0380] Step 1:

[0381] The user enters their travel destination, dates, budget, and preferred activities into the device. This allows the user to communicate their specific travel preferences to the system. The entered data is temporarily stored by the device. Here, data is collected using text boxes and dropdown menus.

[0382] Step 2:

[0383] The device uses an emotion detection engine to detect emotions in real time from the user's facial expressions, voice tone, and typing speed. Specifically, it captures facial expressions with a camera and analyzes voice characteristics through a microphone. The input is the user's physical behavior, and the output is quantified emotional state data. This data is then sent to a server.

[0384] Step 3:

[0385] The server uses an AI model to generate travel plans based on the user's submitted travel information and sentiment data. It leverages historical trend data and feedback from similar users to suggest the optimal plan. The input is the user's preferences and sentiment data, and the output is a customized travel plan. This plan includes options that align with the user's sentiments.

[0386] Step 4:

[0387] The generated travel plan is sent to the terminal and displayed to the user. The terminal provides a visually intuitive interface, allowing the user to easily understand the plan details. Here, the user is presented with a list of travel itineraries and activities. The input is plan data from the server, and the output is a request for approval or adjustment based on the user's confirmation.

[0388] Step 5:

[0389] After the user begins their trip, the device continuously monitors their emotions using an emotion detection engine. The emotion data obtained is sent to the server at regular intervals. The input is the user's emotions during the trip, and the output is their real-time emotional state. The server uses this data to determine if any adjustments to the plan are necessary.

[0390] Step 6:

[0391] The server recalculates the travel plan based on new emotional data as needed, providing the terminal with a dynamically adjusted plan tailored to the user's preferences. The input is continuously transmitted new emotional state data, and the output is the adjusted travel plan. This ensures the user experience is always optimized.

[0392] The above outlines the specific processing flow of this system, which enables the personalized delivery of travel experiences based on the user's emotions and preferences.

[0393] (Application Example 2)

[0394] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the smart glasses 214 as the "terminal".

[0395] Modern travelers seek personalized travel experiences tailored to their emotions and preferences. However, traditional travel plans are often uniform and fail to provide the optimal experience for travelers in real time, considering their emotions and circumstances. This invention aims to solve this problem by providing a means to optimize the travel experience based on the user's emotions and generating the optimal plan to meet the individual needs of each traveler.

[0396] 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.

[0397] In this invention, the server includes means for performing calculations to generate a travel plan based on the user's input information and emotional state; means for displaying the generated travel plan and recommended information according to the user's emotions and for receiving feedback; and means for outputting information to provide tourist destination-related guidance by an AI character according to the user's emotional state. This enables a personalized, real-time travel experience that responds to the user's emotions.

[0398] "User input information" refers to pre-trip information that travelers provide to the system, such as their travel destination, itinerary, budget, and preferred activities.

[0399] "Emotional state" refers to psychological reactions and moods detected in real time from the user's facial expressions, voice, input data, etc.

[0400] "Means for generating travel plans" refers to devices or programs that automatically assemble the optimal travel schedule and activities based on the user's input information and emotional state.

[0401] An "AI character" refers to a virtual human character that changes its voice and posture according to the user's emotional state when providing travel guidance.

[0402] "Recommended information" refers to information about tourist destinations and activities that are suggested based on the user's emotions and travel information.

[0403] "Real-time travel experience" refers to providing sightseeing plans that are adjusted on the spot according to the user's current location and circumstances.

[0404] The system implementing this invention consists of a user terminal and a server. The terminal incorporates an emotion engine that analyzes emotional states in real time. This emotion engine uses OpenCV and TensorFlow to analyze the user's facial expressions and converts audio data into emotion data. When the user enters travel information into the terminal, that information and the acquired emotion data are sent to the server.

[0405] The server, equipped with AI algorithms, generates optimal travel plans based on user input and emotional state. It utilizes Google Cloud AI and AWS AI as cloud services, allowing for flexible use of computing resources. The generated plan is dynamically adjusted to take into account the user's emotions, the weather on the day, and local congestion levels.

[0406] For example, if a user's device detects fatigue while they are walking in a city, the server will recommend nearby cafes or parks where they can rest. Similarly, if a traveler is detected as excited while visiting a museum, the system will suggest related art events or exhibitions to help maintain their excitement.

[0407] Examples of prompts include, "Explain how the system suggests quiet tourist destinations when the user wants to relax," and "Describe how to recommend activities for travelers when they are excited." Based on the information the user receives and the actions they take, emotional data is continuously collected from the device, and the server fine-tunes the plan as needed to provide the user with the best possible travel experience.

[0408] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0409] Step 1:

[0410] Users register information such as their travel destination, dates, budget, and preferred activities on their device. The input data is processed within the device and organized as initial travel plan data.

[0411] Step 2:

[0412] The device's emotion engine collects the user's facial expressions and voice data in real time and performs emotion analysis using OpenCV and TensorFlow. The acquired emotion data is quantified and sent to the server along with the travel plan data.

[0413] Step 3:

[0414] The server uses AI algorithms to generate travel plans based on the received travel information and sentiment data. Specifically, it uses Google Cloud AI and AWS AI to optimize tourist destinations and activities according to the user's sentiment. As output, a recommended travel plan is generated.

[0415] Step 4:

[0416] The generated travel plan is sent to the device and displayed to the user. The user can provide feedback on the presented plan, and this information is sent back to the server to help readjust the plan.

[0417] Step 5:

[0418] Once the user begins their trip, the device continuously monitors emotional data and transmits it to the server in real time along with location information.

[0419] Step 6:

[0420] The server dynamically adjusts the travel plan based on the real-time sentiment and location data it receives. For example, if the user is feeling down, it suggests relaxing activities. The adjusted plan is then sent back to the device.

[0421] Step 7:

[0422] An AI character provides tourist information based on the user's latest emotional data. The tone of the guidance changes according to the user's emotions, enhancing the user's travel experience.

[0423] 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.

[0424] 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.

[0425] 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.

[0426] [Third Embodiment]

[0427] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0428] 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.

[0429] 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).

[0430] 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.

[0431] 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.

[0432] 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).

[0433] 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.

[0434] 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.

[0435] 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.

[0436] 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.

[0437] 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.

[0438] 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".

[0439] As an embodiment of the present invention, a system that provides travelers with individually personalized travel experiences will be described.

[0440] This system functions through the interaction between a terminal, a server, and the user. The user first uses a terminal to input their needs and preferences, such as travel destination, dates, budget, desired attractions, and preferred modes of transportation. This information is then transmitted from the terminal to the server.

[0441] The server uses an AI algorithm to automatically generate travel plans based on the received travel information. It considers professional guide expertise, past travel history, and popular tourist spot data to create efficient and attractive plans. These travel plans include detailed itineraries, major destinations, accommodations, and recommended routes.

[0442] The generated travel plan is sent to the device and presented to the user. The user can review the plan and request revisions if necessary. The feedback is sent back to the server, which recalculates the plan and presents the revised plan to the device.

[0443] During travel, the device uses GPS to determine the user's current location and automatically starts an AI character voice guide when approaching a tourist spot. This voice guide provides the user with information about the history, cultural background, and surrounding attractions of the tourist spot. For example, when the user approaches a historical temple, the AI ​​character's voice will provide a guide about the temple's origins, architectural style, and the artworks it houses.

[0444] Furthermore, users can upload photos and travel experiences taken during their trips to the system via their devices, and this information is shared with other travelers via the server. This facilitates the formation of travel communities by allowing users with similar interests to exchange information. This information sharing can continue even after the trip, potentially leading to long-term interactions.

[0445] This system also features a function that allows the server to distribute promotional information received from local tourist facilities and shops to terminals. This makes it easy for users to obtain information on special offers at their travel destinations, contributing to the revitalization of the local economy. As a whole, these functions provide travelers with new travel experiences and contribute to the creation of new value through travel.

[0446] The following describes the processing flow.

[0447] Step 1:

[0448] Users use their devices to enter travel information, including destination, dates, budget, and preferred activities, and then send it to the system.

[0449] Step 2:

[0450] The terminal sends the entered travel information to the server. The server receives this information and stores it in a database for each user.

[0451] Step 3:

[0452] The server uses stored travel information and invokes an AI algorithm to generate travel plans. The necessary data includes professional guide know-how data, past user history data, and real-time tourist destination information.

[0453] Step 4:

[0454] The server sends the generated travel plan to the terminal and presents it to the user. The terminal displays the plan on the screen and asks the user for confirmation.

[0455] Step 5:

[0456] The user reviews the presented travel plan and enters any necessary modification requests. The terminal then sends the modification requests to the server.

[0457] Step 6:

[0458] The server receives the correction request as feedback from the user, recalculates and updates the plan, and then sends the updated plan back to the terminal.

[0459] Step 7:

[0460] During travel, the device uses GPS to determine the user's current location and requests information about nearby tourist attractions from a server. The server provides the relevant information and delivers voice guidance from an AI character to the device.

[0461] Step 8:

[0462] The device starts voice guidance from an AI character, providing the user with detailed information about tourist spots. The user can enjoy sightseeing while receiving guidance.

[0463] Step 9:

[0464] Users upload photos and records taken during their travels to the server via their devices. The server then shares these with other users, fostering a vibrant community.

[0465] Step 10:

[0466] The server retrieves promotional information from local tourist facilities and shops and delivers it to the user's device. The device then notifies the user and encourages them to use the service.

[0467] Through these steps, we provide users with a personalized travel experience. Furthermore, we contribute to the revitalization of the local economy through information sharing and promotion.

[0468] (Example 1)

[0469] 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."

[0470] Conventional travel planning systems have problems such as difficulty in quickly providing detailed travel plans that cater to individual user preferences and needs, and a lack of real-time guidance and information sharing. Furthermore, they have been unable to properly deliver regional promotional information to users, resulting in insufficient user experience and contribution to the local economy.

[0471] 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.

[0472] In this invention, the server includes means using a device that receives travel-related information entered by the user and transmits it as data, means using an AI model to generate a travel plan based on the data received by the server, and means using a display device that presents the generated travel plan to the user and accepts requests for modifications. This enables the rapid provision of optimal travel plans tailored to individual needs, an improved user experience, and a contribution to the local economy.

[0473] A "user" is an individual or group that uses this system to input travel-related information, generate travel plans, or retrieve information.

[0474] A "server" refers to a central processing unit that receives information from users, creates travel plans using a generational AI model, and manages information sharing and the provision of promotional information.

[0475] A "generative AI model" refers to an artificial intelligence algorithm that automatically generates travel plans based on received data. This technology utilizes past travel history and data on popular destinations to create the optimal plan.

[0476] A "travel plan" is a document that includes the itinerary, destinations, accommodation information, and recommended routes, generated based on the travel conditions specified by the user.

[0477] An "AI character" is a character controlled by artificial intelligence to provide voice guidance to users, and its role is to dynamically explain information about the history and culture of tourist destinations.

[0478] "Promotional information" refers to information about special offers and promotions related to tourist facilities and shops that are distributed with the aim of revitalizing the local economy.

[0479] GPS is a global positioning system used to determine a user's current location while traveling, and it is a technology that enables real-time location information services.

[0480] This invention is a system for providing travelers with individually personalized travel experiences. Users first use a terminal to input their needs and preferences, such as travel destination, itinerary, budget, desired tourist attractions, and preferred modes of transportation. This information is then transmitted from the terminal to a server. The terminal includes computer devices such as smartphones and tablets, and information is entered using dedicated application software.

[0481] After receiving information from the user, the server automatically generates a travel plan using a generative AI model. This AI model analyzes professional guide know-how data, an extensive database including past travel history, and data on popular tourist spots to create the optimal travel plan for the user. Specifically, the server instructs the AI ​​model using prompts such as, "Please generate a sightseeing and accommodation plan based on the itinerary for a trip to Kyoto." The generated plan is efficient and appealing, including detailed itinerary, sightseeing destinations, accommodations, and recommended routes.

[0482] The generated travel plan is sent to the terminal and presented to the user. The user can review the presented travel plan and enter a revision request if changes are needed. The terminal sends this back to the server, which then readjusts the travel plan.

[0483] During travel, the device uses GPS to determine the user's location and automatically starts voice guidance from an AI character when approaching a destination. This voice guide tells the user about the history, cultural background, and surrounding attractions of the tourist spot. For example, when the user approaches a historical temple, the device provides information about the temple's origins and architectural style in AI voice.

[0484] Furthermore, users can upload photos and travel experiences taken during their trips to the system via their devices and share them with other travelers. This promotes interaction among travelers and enables the formation of travel communities. The shared information is used as reference material by other users.

[0485] This system also features a function that allows the server to deliver promotional information received from local tourist facilities and shops to the user's terminal. This makes it easy for users to obtain information about special offers at their destination, contributing to the revitalization of the local economy. As described above, this invention aims to provide new travel experiences and create added value.

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

[0487] Step 1:

[0488] Users enter information such as their travel destination, itinerary, budget, desired tourist spots, and preferred modes of transportation into the terminal. The terminal processes this information as digital data and sends it to the server. This registers the specific travel conditions in the database.

[0489] Step 2:

[0490] The server receives input data from the terminal and uses this data to generate a travel plan using an AI model. The AI ​​model compares the received data with past travel data and tourist spot information to create the optimal plan. A prompt such as "Please generate a sightseeing and accommodation plan based on the itinerary for a trip to Kyoto" is used during this process. A detailed travel plan is then generated as output.

[0491] Step 3:

[0492] The server sends the generated travel plan to the terminal. The terminal displays the received plan to the user, allowing the user to visually confirm it. The user reviews the plan and enters any necessary modification requests. This input is then sent back to the server as data.

[0493] Step 4:

[0494] The server receives the user's revision request and readjusts the plan. It then recalculates the revised plan using the generation AI model again, creating an optimized plan. The revised travel plan is then sent back to the terminal and presented to the user.

[0495] Step 5:

[0496] During travel, the device tracks the user's location using GPS. When the user approaches a tourist attraction, the device automatically starts voice guidance from an AI character, providing information about the history and cultural background. This enables real-time tourist information.

[0497] Step 6:

[0498] Users upload photos and travel experiences taken during their trip to the system via their device. The device then sends this content to the server for processing and sharing with other users. The shared information becomes available to other travelers.

[0499] Step 7:

[0500] The server sends promotional information received from local tourist attractions and shops to the user's device. The device receives this information and displays it to the user. This allows users to quickly check for special offers at their destination.

[0501] (Application Example 1)

[0502] 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."

[0503] There is a need to provide personalized tourism experiences based on the individual needs of travelers, thereby improving the efficiency and convenience of tourism. Furthermore, challenges remain regarding the provision of real-time information and the promotion of communication in tourist destinations.

[0504] 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.

[0505] In this invention, the server includes means for performing calculations to generate a travel plan based on user input information; means for displaying the generated travel plan to the user and receiving feedback; means for outputting audio guidance related to tourist spots using electronic voice generation means; means for transmitting information to facilitate sharing and interaction of travel-related information among users; means for distributing promotional information for tourist spots and the local economy; means for acquiring the user's current location information and providing real-time tourist guidance based on it; and means for adjusting the content of the audio guidance based on the user's selected electronic voice character settings and language. This enables the provision of individually personalized travel experiences and real-time sharing of information.

[0506] The term "user" refers to the individual travelers or users who utilize a travel system.

[0507] "Input information" refers to information provided by travelers, such as destination, itinerary, budget, desired sightseeing spots, and type of transportation.

[0508] A "travel plan" refers to a plan that includes the travel itinerary, destinations, accommodations, and recommended routes, generated based on the user's input information and related data.

[0509] "Electronic voice generation means" refers to technologies and devices for reproducing tourist information and guides as audio.

[0510] A "tourist spot" refers to a geographical location or region that travelers visit for their own purposes.

[0511] "Means of communication" refers to communication technologies and systems that enable users to share travel information and facilitate interaction among themselves.

[0512] "Promotional information" refers to information that shows promotions and special offers related to tourist destinations and the local economy.

[0513] "Current location information" refers to data indicating the user's geographical location, obtained through GPS or other location-based technologies.

[0514] A "real-time guide" refers to tourist information or guides that are provided instantly based on the current situation and location.

[0515] "Means of adjustment" refers to technologies and methods for appropriately modifying guidance content based on the user's selected settings and language.

[0516] The system implementing this invention operates by combining various means to generate a personalized travel plan based on user input information. First, the server receives travel-related requests (destination, dates, budget, etc.) entered by the user from their terminal. Based on this information, the server uses an AI algorithm to automatically generate an efficient and attractive travel plan. This calculation utilizes external data sources such as past travel data, the know-how of professional guides, and popular tourist spots.

[0517] The generated travel plan is sent to the user's device, and the user can view the plan before their trip. Feedback on the travel plan is welcomed, and a revised plan will be provided as needed. During the trip, the device acquires the user's current location via GPS, and an AI character voice guide service automatically starts when approaching a tourist destination. This voice guide includes detailed information about the history and cultural background of the tourist spot, as well as surrounding attractions.

[0518] As a concrete example, imagine a user visiting a historical city. When the user approaches a historical building, the device automatically guides them through the building's history and origins using an AI character's voice. Furthermore, the user can upload images taken with the device during their trip and share this information in real time with other users who share similar interests. This facilitates communication and interaction among travelers.

[0519] The key to realizing this system lies in AI model generation technology. An example of a prompt message could be, "Generate a detailed audio guide about the historical building the user is visiting. They want to learn about the building's history and cultural background." This information is processed by the AI ​​model on the server, forming the foundation for providing users with a wealth of information.

[0520] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0521] Step 1:

[0522] The user uses a terminal to register information such as their travel destination, itinerary, budget, desired tourist spots, and preferred mode of transportation into the system. This information is then transmitted to the server in digital format.

[0523] Step 2:

[0524] The server analyzes the user's input information and references relevant data sources (such as professional guide know-how data, past travel history, and popular tourist spot data). Based on this, a generating AI model calculates and generates the optimal travel plan. In this process, the input information is analyzed and output in the form of a travel plan.

[0525] Step 3:

[0526] The generated travel plan is sent to the device in digital format. The user can review the travel plan on the device and send feedback to the system. The server receives this feedback, recalculates the travel plan as needed, and generates a revised plan.

[0527] Step 4:

[0528] During travel, the device uses GPS to determine the user's current location. When approaching a tourist attraction, the server activates an AI character and begins an audio guide related to that attraction. The AI ​​model processes the user's current location information to provide appropriate audio guidance in real time.

[0529] Step 5:

[0530] Users upload photos and videos taken with their devices to the system, sharing information with other travelers. This information is distributed to other users via the server, stimulating interaction among travelers with similar interests. The server aggregates and appropriately displays the data, making it possible to promote long-term interaction.

[0531] 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.

[0532] As an embodiment of the present invention, a system that recognizes a user's emotions and optimizes the travel experience based on those emotions will be described.

[0533] This system works by combining a user's device, a server, and an emotion engine. First, the user inputs their travel destination, itinerary, budget, and preferred activities via the device and sends them to the system. Simultaneously, the device has an emotion engine that detects emotions from the user's facial expressions, voice, and input data. This emotion data is sent to the server in real time.

[0534] The server uses an AI algorithm to generate travel plans based on acquired travel information and emotional data. Emotional data is reflected in the plan; for example, if the user is stressed, it suggests relaxing spots, while if they are seeking excitement, it provides more active activities. This creates a personalized travel plan tailored to the user's emotional state.

[0535] The generated travel plan is sent to the device and presented to the user. As the user acts according to the plan during the trip, the device continuously monitors the user's emotional state using an emotion engine and requests adjustments to the plan from the server as needed. For example, if the user becomes anxious due to a sudden change in weather, the system will take action such as switching to a plan that can be enjoyed indoors.

[0536] Furthermore, the AI ​​character's voice guidance during travel is adjusted based on the user's recognized emotions. When the user is excited, the guidance is given in an energetic tone, and conversely, when the user wants to relax, the guidance is given in a calm tone. This makes the user experience more deeply tailored to each individual.

[0537] Furthermore, this system enables users to share experiences and promotes interaction between users with similar hobbies and experiences based on emotional data. This fosters the formation of travel communities through empathy and understanding, enabling diverse interactions.

[0538] As a concrete example, consider a user visiting a foreign city. In this case, the user may feel anxious in a new environment, so the system senses this emotion through its emotion engine and suggests matching the user with tourist information that supports a wide range of languages ​​or a reassuring local guide. In this way, optimal support is provided based on the user's specific emotions.

[0539] The following describes the processing flow.

[0540] Step 1:

[0541] Users enter travel information via their device. This information includes destination, dates, budget, and preferred activities.

[0542] Step 2:

[0543] An emotion engine built into the device analyzes the user's facial expressions and voice tone to collect user emotion data.

[0544] Step 3:

[0545] The terminal sends input travel information and emotional data to the server. The server receives this information and stores it in a user-specific database.

[0546] Step 4:

[0547] The server applies AI algorithms to generate personalized travel plans based on travel information and emotional data. It dynamically adjusts the plan, taking into account the emotional state indicated by the emotional data.

[0548] Step 5:

[0549] The generated travel plan is sent to the device and displayed to the user. The device provides an interface that allows the user to review the plan and send feedback.

[0550] Step 6:

[0551] During the trip, the device continuously monitors the user's emotional state. If new emotional data is detected, the device sends this information to the server and requests readjustment of the travel plan as needed.

[0552] Step 7:

[0553] Based on the newly received emotion data, the server re-optimizes the travel plan and provides the updated plan to the device.

[0554] Step 8:

[0555] The device provides voice guidance from an AI character. This voice guidance is adjusted according to the user's emotional state; for example, if the user is excited, the character will raise their energy level while providing explanations.

[0556] Step 9:

[0557] Users share their travel experiences and emotional data with other users through their devices. This fosters empathy and interaction within the community.

[0558] Step 10:

[0559] After a trip, users can review their past emotional data through the system to help plan their next trip. The server analyzes this data and uses it to provide better services.

[0560] (Example 2)

[0561] 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."

[0562] Accurately understanding the diverse emotional states of users during their travels and providing them with the optimal travel experience accordingly is challenging. Furthermore, dynamically adjusting travel plans to accommodate individual user needs and anxieties, as well as facilitating smooth communication across language and cultural barriers, present significant challenges.

[0563] 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.

[0564] In this invention, the server includes means for performing calculations to generate a travel plan in response to user input, means for analyzing the user's emotional state using an emotion detection engine, and means for transmitting and displaying the generated travel plan on a terminal. This enables the generation of a travel plan that corresponds to the user's emotional state and allows for dynamic adjustments.

[0565] "User input" refers to information including travel destination, itinerary, budget, and preferred activities, and is data that the user provides to the system through their device.

[0566] An "emotion detection engine" is software that analyzes and quantifies a user's emotional state in real time based on their facial expressions, tone of voice, and input actions.

[0567] A "travel plan" is a proposed travel itinerary generated by an AI model based on user input information and emotional data, and includes the selection of activities and tourist destinations.

[0568] An "AI model" is a computational method that uses large amounts of historical data and machine learning algorithms to provide choices that are tailored to the user's preferences and emotions.

[0569] A "terminal" is an electronic device used by users to input information, receive travel plans, and provide feedback.

[0570] "Voice output" is a function that allows users to receive plans and instructions generated through an AI character via voice.

[0571] "Communication" refers to technologies that allow users to share travel experiences and emotional data, and to exchange information through a network.

[0572] "Recalculation" is the process by which the server reconstructs the travel plan based on new data in order to dynamically adjust the plan in response to unexpected events or weather changes.

[0573] This invention is a system that detects a user's emotions and optimizes the travel experience based on those emotions. The system consists of a user's terminal, a server, and an emotion detection engine, and functions as follows:

[0574] First, the user uses their device to input information such as their travel destination, itinerary, budget, and preferred activities. The device has a built-in emotion detection engine that uses the camera, microphone, and input device to detect emotions in real time from the user's facial expressions, tone of voice, and typing speed. This data is collected by the device and sent to the server.

[0575] Next, the server uses an AI model to generate a travel plan tailored to the user's emotions, based on the submitted travel information and emotional data. This AI model has learned from past data and suggests the optimal plan according to the user's current emotional state. For example, it will create a plan that includes relaxing spots for users in a low-stress state and active activities for users in an excited state.

[0576] The generated travel plan is sent to the device and displayed visually to the user. The user can follow this plan during the trip, but the device continuously monitors the user's emotions throughout the trip and requests adjustments to the plan from the system as needed. For example, if the user shows anxiety due to unexpected weather changes, the system will switch the plan to indoor activities.

[0577] Furthermore, during the trip, an AI character provides voice guidance, adjusting the tone of the guidance based on the user's perceived emotions. This enables a more personalized and optimized experience tailored to the user's needs.

[0578] Specific examples of prompt messages include: "Generate the optimal travel plan based on the user's emotional data and travel information. Specify the spots where the user wants to relax and the conditions for providing active activities."

[0579] In this way, we can provide a travel experience tailored to each individual user, resulting in highly satisfying trips.

[0580] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0581] Step 1:

[0582] The user enters their travel destination, dates, budget, and preferred activities into the device. This allows the user to communicate their specific travel preferences to the system. The entered data is temporarily stored by the device. Here, data is collected using text boxes and dropdown menus.

[0583] Step 2:

[0584] The device uses an emotion detection engine to detect emotions in real time from the user's facial expressions, voice tone, and typing speed. Specifically, it captures facial expressions with a camera and analyzes voice characteristics through a microphone. The input is the user's physical behavior, and the output is quantified emotional state data. This data is then sent to a server.

[0585] Step 3:

[0586] The server uses an AI model to generate travel plans based on the user's submitted travel information and sentiment data. It leverages historical trend data and feedback from similar users to suggest the optimal plan. The input is the user's preferences and sentiment data, and the output is a customized travel plan. This plan includes options that align with the user's sentiments.

[0587] Step 4:

[0588] The generated travel plan is sent to the terminal and displayed to the user. The terminal provides a visually intuitive interface, allowing the user to easily understand the plan details. Here, the user is presented with a list of travel itineraries and activities. The input is plan data from the server, and the output is a request for approval or adjustment based on the user's confirmation.

[0589] Step 5:

[0590] After the user begins their trip, the device continuously monitors their emotions using an emotion detection engine. The emotion data obtained is sent to the server at regular intervals. The input is the user's emotions during the trip, and the output is their real-time emotional state. The server uses this data to determine if any adjustments to the plan are necessary.

[0591] Step 6:

[0592] The server recalculates the travel plan based on new emotional data as needed, providing the terminal with a dynamically adjusted plan tailored to the user's preferences. The input is continuously transmitted new emotional state data, and the output is the adjusted travel plan. This ensures the user experience is always optimized.

[0593] The above outlines the specific processing flow of this system, which enables the personalized delivery of travel experiences based on the user's emotions and preferences.

[0594] (Application Example 2)

[0595] 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."

[0596] Modern travelers seek personalized travel experiences tailored to their emotions and preferences. However, traditional travel plans are often uniform and fail to provide the optimal experience for travelers in real time, considering their emotions and circumstances. This invention aims to solve this problem by providing a means to optimize the travel experience based on the user's emotions and generating the optimal plan to meet the individual needs of each traveler.

[0597] 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.

[0598] In this invention, the server includes means for performing calculations to generate a travel plan based on the user's input information and emotional state; means for displaying the generated travel plan and recommended information according to the user's emotions and for receiving feedback; and means for outputting information to provide tourist destination-related guidance by an AI character according to the user's emotional state. This enables a personalized, real-time travel experience that responds to the user's emotions.

[0599] "User input information" refers to pre-trip information that travelers provide to the system, such as their travel destination, itinerary, budget, and preferred activities.

[0600] "Emotional state" refers to psychological reactions and moods detected in real time from the user's facial expressions, voice, input data, etc.

[0601] "Means for generating travel plans" refers to devices or programs that automatically assemble the optimal travel schedule and activities based on the user's input information and emotional state.

[0602] An "AI character" refers to a virtual human character that changes its voice and posture according to the user's emotional state when providing travel guidance.

[0603] "Recommended information" refers to information about tourist destinations and activities that are suggested based on the user's emotions and travel information.

[0604] "Real-time travel experience" refers to providing sightseeing plans that are adjusted on the spot according to the user's current location and circumstances.

[0605] The system implementing this invention consists of a user terminal and a server. The terminal incorporates an emotion engine that analyzes emotional states in real time. This emotion engine uses OpenCV and TensorFlow to analyze the user's facial expressions and converts audio data into emotion data. When the user enters travel information into the terminal, that information and the acquired emotion data are sent to the server.

[0606] The server, equipped with AI algorithms, generates optimal travel plans based on user input and emotional state. It utilizes Google Cloud AI and AWS AI as cloud services, allowing for flexible use of computing resources. The generated plan is dynamically adjusted to take into account the user's emotions, the weather on the day, and local congestion levels.

[0607] For example, if a user's device detects fatigue while they are walking in a city, the server will recommend nearby cafes or parks where they can rest. Similarly, if a traveler is detected as excited while visiting a museum, the system will suggest related art events or exhibitions to help maintain their excitement.

[0608] Examples of prompts include, "Explain how the system suggests quiet tourist destinations when the user wants to relax," and "Describe how to recommend activities for travelers when they are excited." Based on the information the user receives and the actions they take, emotional data is continuously collected from the device, and the server fine-tunes the plan as needed to provide the user with the best possible travel experience.

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

[0610] Step 1:

[0611] Users register information such as their travel destination, dates, budget, and preferred activities on their device. The input data is processed within the device and organized as initial travel plan data.

[0612] Step 2:

[0613] The device's emotion engine collects the user's facial expressions and voice data in real time and performs emotion analysis using OpenCV and TensorFlow. The acquired emotion data is quantified and sent to the server along with the travel plan data.

[0614] Step 3:

[0615] The server uses AI algorithms to generate travel plans based on the received travel information and sentiment data. Specifically, it uses Google Cloud AI and AWS AI to optimize tourist destinations and activities according to the user's sentiment. As output, a recommended travel plan is generated.

[0616] Step 4:

[0617] The generated travel plan is sent to the device and displayed to the user. The user can provide feedback on the presented plan, and this information is sent back to the server to help readjust the plan.

[0618] Step 5:

[0619] Once the user begins their trip, the device continuously monitors emotional data and transmits it to the server in real time along with location information.

[0620] Step 6:

[0621] The server dynamically adjusts the travel plan based on the real-time sentiment and location data it receives. For example, if the user is feeling down, it suggests relaxing activities. The adjusted plan is then sent back to the device.

[0622] Step 7:

[0623] An AI character provides tourist information based on the user's latest emotional data. The tone of the guidance changes according to the user's emotions, enhancing the user's travel experience.

[0624] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0625] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0626] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0627] [Fourth Embodiment]

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

[0629] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0630] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0631] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0632] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0633] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0634] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0635] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0636] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0637] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0638] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0639] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0640] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0641] As an embodiment of the present invention, a system that provides travelers with individually personalized travel experiences will be described.

[0642] This system functions through the interaction between a terminal, a server, and the user. The user first uses a terminal to input their needs and preferences, such as travel destination, dates, budget, desired attractions, and preferred modes of transportation. This information is then transmitted from the terminal to the server.

[0643] The server uses an AI algorithm to automatically generate travel plans based on the received travel information. It considers professional guide expertise, past travel history, and popular tourist spot data to create efficient and attractive plans. These travel plans include detailed itineraries, major destinations, accommodations, and recommended routes.

[0644] The generated travel plan is sent to the device and presented to the user. The user can review the plan and request revisions if necessary. The feedback is sent back to the server, which recalculates the plan and presents the revised plan to the device.

[0645] During travel, the device uses GPS to determine the user's current location and automatically starts an AI character voice guide when approaching a tourist spot. This voice guide provides the user with information about the history, cultural background, and surrounding attractions of the tourist spot. For example, when the user approaches a historical temple, the AI ​​character's voice will provide a guide about the temple's origins, architectural style, and the artworks it houses.

[0646] Furthermore, users can upload photos and travel experiences taken during their trips to the system via their devices, and this information is shared with other travelers via the server. This facilitates the formation of travel communities by allowing users with similar interests to exchange information. This information sharing can continue even after the trip, potentially leading to long-term interactions.

[0647] This system also features a function that allows the server to distribute promotional information received from local tourist facilities and shops to terminals. This makes it easy for users to obtain information on special offers at their travel destinations, contributing to the revitalization of the local economy. As a whole, these functions provide travelers with new travel experiences and contribute to the creation of new value through travel.

[0648] The following describes the processing flow.

[0649] Step 1:

[0650] Users use their devices to enter travel information, including destination, dates, budget, and preferred activities, and then send it to the system.

[0651] Step 2:

[0652] The terminal sends the entered travel information to the server. The server receives this information and stores it in a database for each user.

[0653] Step 3:

[0654] The server uses stored travel information and invokes an AI algorithm to generate travel plans. The necessary data includes professional guide know-how data, past user history data, and real-time tourist destination information.

[0655] Step 4:

[0656] The server sends the generated travel plan to the terminal and presents it to the user. The terminal displays the plan on the screen and asks the user for confirmation.

[0657] Step 5:

[0658] The user reviews the presented travel plan and enters any necessary modification requests. The terminal then sends the modification requests to the server.

[0659] Step 6:

[0660] The server receives the correction request as feedback from the user, recalculates and updates the plan, and then sends the updated plan back to the terminal.

[0661] Step 7:

[0662] During travel, the device uses GPS to determine the user's current location and requests information about nearby tourist attractions from a server. The server provides the relevant information and delivers voice guidance from an AI character to the device.

[0663] Step 8:

[0664] The device starts voice guidance from an AI character, providing the user with detailed information about tourist spots. The user can enjoy sightseeing while receiving guidance.

[0665] Step 9:

[0666] Users upload photos and records taken during their travels to the server via their devices. The server then shares these with other users, fostering a vibrant community.

[0667] Step 10:

[0668] The server retrieves promotional information from local tourist facilities and shops and delivers it to the user's device. The device then notifies the user and encourages them to use the service.

[0669] Through these steps, we provide users with a personalized travel experience. Furthermore, we contribute to the revitalization of the local economy through information sharing and promotion.

[0670] (Example 1)

[0671] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0672] Conventional travel planning systems have problems such as difficulty in quickly providing detailed travel plans that cater to individual user preferences and needs, and a lack of real-time guidance and information sharing. Furthermore, they have been unable to properly deliver regional promotional information to users, resulting in insufficient user experience and contribution to the local economy.

[0673] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0674] In this invention, the server includes means using a device that receives travel-related information entered by the user and transmits it as data, means using an AI model to generate a travel plan based on the data received by the server, and means using a display device that presents the generated travel plan to the user and accepts requests for modifications. This enables the rapid provision of optimal travel plans tailored to individual needs, an improved user experience, and a contribution to the local economy.

[0675] A "user" is an individual or group that uses this system to input travel-related information, generate travel plans, or retrieve information.

[0676] A "server" refers to a central processing unit that receives information from users, creates travel plans using a generational AI model, and manages information sharing and the provision of promotional information.

[0677] A "generative AI model" refers to an artificial intelligence algorithm that automatically generates travel plans based on received data. This technology utilizes past travel history and data on popular destinations to create the optimal plan.

[0678] A "travel plan" is a document that includes the itinerary, destinations, accommodation information, and recommended routes, generated based on the travel conditions specified by the user.

[0679] An "AI character" is a character controlled by artificial intelligence to provide voice guidance to users, and its role is to dynamically explain information about the history and culture of tourist destinations.

[0680] "Promotional information" refers to information about special offers and promotions related to tourist facilities and shops that are distributed with the aim of revitalizing the local economy.

[0681] GPS is a global positioning system used to determine a user's current location while traveling, and it is a technology that enables real-time location information services.

[0682] This invention is a system for providing travelers with individually personalized travel experiences. Users first use a terminal to input their needs and preferences, such as travel destination, itinerary, budget, desired tourist attractions, and preferred modes of transportation. This information is then transmitted from the terminal to a server. The terminal includes computer devices such as smartphones and tablets, and information is entered using dedicated application software.

[0683] After receiving information from the user, the server automatically generates a travel plan using a generative AI model. This AI model analyzes professional guide know-how data, an extensive database including past travel history, and data on popular tourist spots to create the optimal travel plan for the user. Specifically, the server instructs the AI ​​model using prompts such as, "Please generate a sightseeing and accommodation plan based on the itinerary for a trip to Kyoto." The generated plan is efficient and appealing, including detailed itinerary, sightseeing destinations, accommodations, and recommended routes.

[0684] The generated travel plan is sent to the terminal and presented to the user. The user can review the presented travel plan and enter a revision request if changes are needed. The terminal sends this back to the server, which then readjusts the travel plan.

[0685] During travel, the device uses GPS to determine the user's location and automatically starts voice guidance from an AI character when approaching a destination. This voice guide tells the user about the history, cultural background, and surrounding attractions of the tourist spot. For example, when the user approaches a historical temple, the device provides information about the temple's origins and architectural style in AI voice.

[0686] Furthermore, users can upload photos and travel experiences taken during their trips to the system via their devices and share them with other travelers. This promotes interaction among travelers and enables the formation of travel communities. The shared information is used as reference material by other users.

[0687] This system also features a function that allows the server to deliver promotional information received from local tourist facilities and shops to the user's terminal. This makes it easy for users to obtain information about special offers at their destination, contributing to the revitalization of the local economy. As described above, this invention aims to provide new travel experiences and create added value.

[0688] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0689] Step 1:

[0690] Users enter information such as their travel destination, itinerary, budget, desired tourist spots, and preferred modes of transportation into the terminal. The terminal processes this information as digital data and sends it to the server. This registers the specific travel conditions in the database.

[0691] Step 2:

[0692] The server receives input data from the terminal and uses this data to generate a travel plan using an AI model. The AI ​​model compares the received data with past travel data and tourist spot information to create the optimal plan. A prompt such as "Please generate a sightseeing and accommodation plan based on the itinerary for a trip to Kyoto" is used during this process. A detailed travel plan is then generated as output.

[0693] Step 3:

[0694] The server sends the generated travel plan to the terminal. The terminal displays the received plan to the user, allowing the user to visually confirm it. The user reviews the plan and enters any necessary modification requests. This input is then sent back to the server as data.

[0695] Step 4:

[0696] The server receives the user's revision request and readjusts the plan. It then recalculates the revised plan using the generation AI model again, creating an optimized plan. The revised travel plan is then sent back to the terminal and presented to the user.

[0697] Step 5:

[0698] During travel, the device tracks the user's location using GPS. When the user approaches a tourist attraction, the device automatically starts voice guidance from an AI character, providing information about the history and cultural background. This enables real-time tourist information.

[0699] Step 6:

[0700] Users upload photos and travel experiences taken during their trip to the system via their device. The device then sends this content to the server for processing and sharing with other users. The shared information becomes available to other travelers.

[0701] Step 7:

[0702] The server sends promotional information received from local tourist attractions and shops to the user's device. The device receives this information and displays it to the user. This allows users to quickly check for special offers at their destination.

[0703] (Application Example 1)

[0704] 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".

[0705] There is a need to provide personalized tourism experiences based on the individual needs of travelers, thereby improving the efficiency and convenience of tourism. Furthermore, challenges remain regarding the provision of real-time information and the promotion of communication in tourist destinations.

[0706] 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.

[0707] In this invention, the server includes means for performing calculations to generate a travel plan based on user input information; means for displaying the generated travel plan to the user and receiving feedback; means for outputting audio guidance related to tourist spots using electronic voice generation means; means for transmitting information to facilitate sharing and interaction of travel-related information among users; means for distributing promotional information for tourist spots and the local economy; means for acquiring the user's current location information and providing real-time tourist guidance based on it; and means for adjusting the content of the audio guidance based on the user's selected electronic voice character settings and language. This enables the provision of individually personalized travel experiences and real-time sharing of information.

[0708] The term "user" refers to the individual travelers or users who utilize a travel system.

[0709] "Input information" refers to information provided by travelers, such as destination, itinerary, budget, desired sightseeing spots, and type of transportation.

[0710] A "travel plan" refers to a plan that includes the travel itinerary, destinations, accommodations, and recommended routes, generated based on the user's input information and related data.

[0711] "Electronic voice generation means" refers to technologies and devices for reproducing tourist information and guides as audio.

[0712] A "tourist spot" refers to a geographical location or region that travelers visit for their own purposes.

[0713] "Means of communication" refers to communication technologies and systems that enable users to share travel information and facilitate interaction among themselves.

[0714] "Promotional information" refers to information that shows promotions and special offers related to tourist destinations and the local economy.

[0715] "Current location information" refers to data indicating the user's geographical location, obtained through GPS or other location-based technologies.

[0716] A "real-time guide" refers to tourist information or guides that are provided instantly based on the current situation and location.

[0717] "Means of adjustment" refers to technologies and methods for appropriately modifying guidance content based on the user's selected settings and language.

[0718] The system implementing this invention operates by combining various means to generate a personalized travel plan based on user input information. First, the server receives travel-related requests (destination, dates, budget, etc.) entered by the user from their terminal. Based on this information, the server uses an AI algorithm to automatically generate an efficient and attractive travel plan. This calculation utilizes external data sources such as past travel data, the know-how of professional guides, and popular tourist spots.

[0719] The generated travel plan is sent to the user's device, and the user can view the plan before their trip. Feedback on the travel plan is welcomed, and a revised plan will be provided as needed. During the trip, the device acquires the user's current location via GPS, and an AI character voice guide service automatically starts when approaching a tourist destination. This voice guide includes detailed information about the history and cultural background of the tourist spot, as well as surrounding attractions.

[0720] As a concrete example, imagine a user visiting a historical city. When the user approaches a historical building, the device automatically guides them through the building's history and origins using an AI character's voice. Furthermore, the user can upload images taken with the device during their trip and share this information in real time with other users who share similar interests. This facilitates communication and interaction among travelers.

[0721] The key to realizing this system lies in AI model generation technology. An example of a prompt message could be, "Generate a detailed audio guide about the historical building the user is visiting. They want to learn about the building's history and cultural background." This information is processed by the AI ​​model on the server, forming the foundation for providing users with a wealth of information.

[0722] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0723] Step 1:

[0724] The user uses a terminal to register information such as their travel destination, itinerary, budget, desired tourist spots, and preferred mode of transportation into the system. This information is then transmitted to the server in digital format.

[0725] Step 2:

[0726] The server analyzes the user's input information and references relevant data sources (such as professional guide know-how data, past travel history, and popular tourist spot data). Based on this, a generating AI model calculates and generates the optimal travel plan. In this process, the input information is analyzed and output in the form of a travel plan.

[0727] Step 3:

[0728] The generated travel plan is sent to the device in digital format. The user can review the travel plan on the device and send feedback to the system. The server receives this feedback, recalculates the travel plan as needed, and generates a revised plan.

[0729] Step 4:

[0730] During travel, the device uses GPS to determine the user's current location. When approaching a tourist attraction, the server activates an AI character and begins an audio guide related to that attraction. The AI ​​model processes the user's current location information to provide appropriate audio guidance in real time.

[0731] Step 5:

[0732] Users upload photos and videos taken with their devices to the system, sharing information with other travelers. This information is distributed to other users via the server, stimulating interaction among travelers with similar interests. The server aggregates and appropriately displays the data, making it possible to promote long-term interaction.

[0733] 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.

[0734] As an embodiment of the present invention, a system that recognizes a user's emotions and optimizes the travel experience based on those emotions will be described.

[0735] This system works by combining a user's device, a server, and an emotion engine. First, the user inputs their travel destination, itinerary, budget, and preferred activities via the device and sends them to the system. Simultaneously, the device has an emotion engine that detects emotions from the user's facial expressions, voice, and input data. This emotion data is sent to the server in real time.

[0736] The server uses an AI algorithm to generate travel plans based on acquired travel information and emotional data. Emotional data is reflected in the plan; for example, if the user is stressed, it suggests relaxing spots, while if they are seeking excitement, it provides more active activities. This creates a personalized travel plan tailored to the user's emotional state.

[0737] The generated travel plan is sent to the device and presented to the user. As the user acts according to the plan during the trip, the device continuously monitors the user's emotional state using an emotion engine and requests adjustments to the plan from the server as needed. For example, if the user becomes anxious due to a sudden change in weather, the system will take action such as switching to a plan that can be enjoyed indoors.

[0738] Furthermore, the AI ​​character's voice guidance during travel is adjusted based on the user's recognized emotions. When the user is excited, the guidance is given in an energetic tone, and conversely, when the user wants to relax, the guidance is given in a calm tone. This makes the user experience more deeply tailored to each individual.

[0739] Furthermore, this system enables users to share experiences and promotes interaction between users with similar hobbies and experiences based on emotional data. This fosters the formation of travel communities through empathy and understanding, enabling diverse interactions.

[0740] As a concrete example, consider a user visiting a foreign city. In this case, the user may feel anxious in a new environment, so the system senses this emotion through its emotion engine and suggests matching the user with tourist information that supports a wide range of languages ​​or a reassuring local guide. In this way, optimal support is provided based on the user's specific emotions.

[0741] The following describes the processing flow.

[0742] Step 1:

[0743] Users enter travel information via their device. This information includes destination, dates, budget, and preferred activities.

[0744] Step 2:

[0745] An emotion engine built into the device analyzes the user's facial expressions and voice tone to collect user emotion data.

[0746] Step 3:

[0747] The terminal sends input travel information and emotional data to the server. The server receives this information and stores it in a user-specific database.

[0748] Step 4:

[0749] The server applies AI algorithms to generate personalized travel plans based on travel information and emotional data. It dynamically adjusts the plan, taking into account the emotional state indicated by the emotional data.

[0750] Step 5:

[0751] The generated travel plan is sent to the device and displayed to the user. The device provides an interface that allows the user to review the plan and send feedback.

[0752] Step 6:

[0753] During the trip, the device continuously monitors the user's emotional state. If new emotional data is detected, the device sends this information to the server and requests readjustment of the travel plan as needed.

[0754] Step 7:

[0755] Based on the newly received emotion data, the server re-optimizes the travel plan and provides the updated plan to the device.

[0756] Step 8:

[0757] The device provides voice guidance from an AI character. This voice guidance is adjusted according to the user's emotional state; for example, if the user is excited, the character will raise their energy level while providing explanations.

[0758] Step 9:

[0759] Users share their travel experiences and emotional data with other users through their devices. This fosters empathy and interaction within the community.

[0760] Step 10:

[0761] After a trip, users can review their past emotional data through the system to help plan their next trip. The server analyzes this data and uses it to provide better services.

[0762] (Example 2)

[0763] 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".

[0764] Accurately understanding the diverse emotional states of users during their travels and providing them with the optimal travel experience accordingly is challenging. Furthermore, dynamically adjusting travel plans to accommodate individual user needs and anxieties, as well as facilitating smooth communication across language and cultural barriers, present significant challenges.

[0765] 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.

[0766] In this invention, the server includes means for performing calculations to generate a travel plan in response to user input, means for analyzing the user's emotional state using an emotion detection engine, and means for transmitting and displaying the generated travel plan on a terminal. This enables the generation of a travel plan that corresponds to the user's emotional state and allows for dynamic adjustments.

[0767] "User input" refers to information including travel destination, itinerary, budget, and preferred activities, and is data that the user provides to the system through their device.

[0768] An "emotion detection engine" is software that analyzes and quantifies a user's emotional state in real time based on their facial expressions, tone of voice, and input actions.

[0769] A "travel plan" is a proposed travel itinerary generated by an AI model based on user input information and emotional data, and includes the selection of activities and tourist destinations.

[0770] An "AI model" is a computational method that uses large amounts of historical data and machine learning algorithms to provide choices that are tailored to the user's preferences and emotions.

[0771] A "terminal" is an electronic device used by users to input information, receive travel plans, and provide feedback.

[0772] "Voice output" is a function that allows users to receive plans and instructions generated through an AI character via voice.

[0773] "Communication" refers to technologies that allow users to share travel experiences and emotional data, and to exchange information through a network.

[0774] "Recalculation" is the process by which the server reconstructs the travel plan based on new data in order to dynamically adjust the plan in response to unexpected events or weather changes.

[0775] This invention is a system that detects a user's emotions and optimizes the travel experience based on those emotions. The system consists of a user's terminal, a server, and an emotion detection engine, and functions as follows:

[0776] First, the user uses their device to input information such as their travel destination, itinerary, budget, and preferred activities. The device has a built-in emotion detection engine that uses the camera, microphone, and input device to detect emotions in real time from the user's facial expressions, tone of voice, and typing speed. This data is collected by the device and sent to the server.

[0777] Next, the server uses an AI model to generate a travel plan tailored to the user's emotions, based on the submitted travel information and emotional data. This AI model has learned from past data and suggests the optimal plan according to the user's current emotional state. For example, it will create a plan that includes relaxing spots for users in a low-stress state and active activities for users in an excited state.

[0778] The generated travel plan is sent to the device and displayed visually to the user. The user can follow this plan during the trip, but the device continuously monitors the user's emotions throughout the trip and requests adjustments to the plan from the system as needed. For example, if the user shows anxiety due to unexpected weather changes, the system will switch the plan to indoor activities.

[0779] Furthermore, during the trip, an AI character provides voice guidance, adjusting the tone of the guidance based on the user's perceived emotions. This enables a more personalized and optimized experience tailored to the user's needs.

[0780] Specific examples of prompt messages include: "Generate the optimal travel plan based on the user's emotional data and travel information. Specify the spots where the user wants to relax and the conditions for providing active activities."

[0781] In this way, we can provide a travel experience tailored to each individual user, resulting in highly satisfying trips.

[0782] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0783] Step 1:

[0784] The user enters their travel destination, dates, budget, and preferred activities into the device. This allows the user to communicate their specific travel preferences to the system. The entered data is temporarily stored by the device. Here, data is collected using text boxes and dropdown menus.

[0785] Step 2:

[0786] The device uses an emotion detection engine to detect emotions in real time from the user's facial expressions, voice tone, and typing speed. Specifically, it captures facial expressions with a camera and analyzes voice characteristics through a microphone. The input is the user's physical behavior, and the output is quantified emotional state data. This data is then sent to a server.

[0787] Step 3:

[0788] The server uses an AI model to generate travel plans based on the user's submitted travel information and sentiment data. It leverages historical trend data and feedback from similar users to suggest the optimal plan. The input is the user's preferences and sentiment data, and the output is a customized travel plan. This plan includes options that align with the user's sentiments.

[0789] Step 4:

[0790] The generated travel plan is sent to the terminal and displayed to the user. The terminal provides a visually intuitive interface, allowing the user to easily understand the plan details. Here, the user is presented with a list of travel itineraries and activities. The input is plan data from the server, and the output is a request for approval or adjustment based on the user's confirmation.

[0791] Step 5:

[0792] After the user begins their trip, the device continuously monitors their emotions using an emotion detection engine. The emotion data obtained is sent to the server at regular intervals. The input is the user's emotions during the trip, and the output is their real-time emotional state. The server uses this data to determine if any adjustments to the plan are necessary.

[0793] Step 6:

[0794] The server recalculates the travel plan based on new emotional data as needed, providing the terminal with a dynamically adjusted plan tailored to the user's preferences. The input is continuously transmitted new emotional state data, and the output is the adjusted travel plan. This ensures the user experience is always optimized.

[0795] The above outlines the specific processing flow of this system, which enables the personalized delivery of travel experiences based on the user's emotions and preferences.

[0796] (Application Example 2)

[0797] 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".

[0798] Modern travelers seek personalized travel experiences tailored to their emotions and preferences. However, traditional travel plans are often uniform and fail to provide the optimal experience for travelers in real time, considering their emotions and circumstances. This invention aims to solve this problem by providing a means to optimize the travel experience based on the user's emotions and generating the optimal plan to meet the individual needs of each traveler.

[0799] 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.

[0800] In this invention, the server includes means for performing calculations to generate a travel plan based on the user's input information and emotional state; means for displaying the generated travel plan and recommended information according to the user's emotions and for receiving feedback; and means for outputting information to provide tourist destination-related guidance by an AI character according to the user's emotional state. This enables a personalized, real-time travel experience that responds to the user's emotions.

[0801] "User input information" refers to pre-trip information that travelers provide to the system, such as their travel destination, itinerary, budget, and preferred activities.

[0802] "Emotional state" refers to psychological reactions and moods detected in real time from the user's facial expressions, voice, input data, etc.

[0803] "Means for generating travel plans" refers to devices or programs that automatically assemble the optimal travel schedule and activities based on the user's input information and emotional state.

[0804] An "AI character" refers to a virtual human character that changes its voice and posture according to the user's emotional state when providing travel guidance.

[0805] "Recommended information" refers to information about tourist destinations and activities that are suggested based on the user's emotions and travel information.

[0806] "Real-time travel experience" refers to providing sightseeing plans that are adjusted on the spot according to the user's current location and circumstances.

[0807] The system implementing this invention consists of a user terminal and a server. The terminal incorporates an emotion engine that analyzes emotional states in real time. This emotion engine uses OpenCV and TensorFlow to analyze the user's facial expressions and converts audio data into emotion data. When the user enters travel information into the terminal, that information and the acquired emotion data are sent to the server.

[0808] The server, equipped with AI algorithms, generates optimal travel plans based on user input and emotional state. It utilizes Google Cloud AI and AWS AI as cloud services, allowing for flexible use of computing resources. The generated plan is dynamically adjusted to take into account the user's emotions, the weather on the day, and local congestion levels.

[0809] For example, if a user's device detects fatigue while they are walking in a city, the server will recommend nearby cafes or parks where they can rest. Similarly, if a traveler is detected as excited while visiting a museum, the system will suggest related art events or exhibitions to help maintain their excitement.

[0810] Examples of prompts include, "Explain how the system suggests quiet tourist destinations when the user wants to relax," and "Describe how to recommend activities for travelers when they are excited." Based on the information the user receives and the actions they take, emotional data is continuously collected from the device, and the server fine-tunes the plan as needed to provide the user with the best possible travel experience.

[0811] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0812] Step 1:

[0813] Users register information such as their travel destination, dates, budget, and preferred activities on their device. The input data is processed within the device and organized as initial travel plan data.

[0814] Step 2:

[0815] The device's emotion engine collects the user's facial expressions and voice data in real time and performs emotion analysis using OpenCV and TensorFlow. The acquired emotion data is quantified and sent to the server along with the travel plan data.

[0816] Step 3:

[0817] The server uses AI algorithms to generate travel plans based on the received travel information and sentiment data. Specifically, it uses Google Cloud AI and AWS AI to optimize tourist destinations and activities according to the user's sentiment. As output, a recommended travel plan is generated.

[0818] Step 4:

[0819] The generated travel plan is sent to the device and displayed to the user. The user can provide feedback on the presented plan, and this information is sent back to the server to help readjust the plan.

[0820] Step 5:

[0821] Once the user begins their trip, the device continuously monitors emotional data and transmits it to the server in real time along with location information.

[0822] Step 6:

[0823] The server dynamically adjusts the travel plan based on the real-time sentiment and location data it receives. For example, if the user is feeling down, it suggests relaxing activities. The adjusted plan is then sent back to the device.

[0824] Step 7:

[0825] An AI character provides tourist information based on the user's latest emotional data. The tone of the guidance changes according to the user's emotions, enhancing the user's travel experience.

[0826] 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.

[0827] 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.

[0828] 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.

[0829] 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.

[0830] 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.

[0831] 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.

[0832] 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.

[0833] 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.

[0834] 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."

[0835] 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.

[0836] 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.

[0837] 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.

[0838] 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.

[0839] 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.

[0840] 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.

[0841] 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.

[0842] 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.

[0843] 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.

[0844] 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.

[0845] 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.

[0846] 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.

[0847] The following is further disclosed regarding the embodiments described above.

[0848] (Claim 1)

[0849] A means for performing calculations to generate a travel plan based on user input information,

[0850] A means of displaying the generated travel plan to the user and receiving feedback,

[0851] A means for outputting audio guidance related to tourist destinations using an AI character,

[0852] A means of communication to facilitate the sharing and interaction of travel-related information among users,

[0853] A means of distributing information to promote tourist destinations and local economies,

[0854] A system that includes this.

[0855] (Claim 2)

[0856] The system according to claim 1, comprising means for obtaining the user's current location information and providing real-time tourist information based thereon.

[0857] (Claim 3)

[0858] The system according to claim 1, comprising means for making adjustments to customize the content of voice guidance based on the settings and language of the AI ​​character selected by the user.

[0859] "Example 1"

[0860] (Claim 1)

[0861] A method using a device that receives travel-related information entered by the user and transmits it as data,

[0862] A method for creating a travel plan using an AI model based on data received on a server,

[0863] A means using a display device that presents the generated travel schedule to the user and accepts requests for modifications,

[0864] A method using an AI character that tracks the user's current location and dynamically provides voice guidance based on location information,

[0865] A means of communication for users to upload and share travel records they have created with other users,

[0866] A means of acquiring information on the local economy and providing promotional content to users,

[0867] A system that includes this.

[0868] (Claim 2)

[0869] The system according to claim 1, comprising means for analyzing the user's current location information in real time and outputting information for providing tourist information.

[0870] (Claim 3)

[0871] The system according to claim 1, including a setting system for adjusting the characteristics and voice output of an AI character according to user selection.

[0872] "Application Example 1"

[0873] (Claim 1)

[0874] A means for performing calculations to generate a travel plan based on user input information,

[0875] A means of displaying the generated travel plan to the user and receiving their feedback,

[0876] A means for outputting audio guidance related to tourist spots using electronic voice generation means,

[0877] A means of communication to facilitate the sharing and exchange of travel-related information among users,

[0878] Means of distributing information to promote tourist attractions and the local economy,

[0879] A means of obtaining the user's current location information and providing real-time tourist guidance based on that information,

[0880] A means for adjusting the content of voice guidance based on the user's selected electronic voice character settings and language,

[0881] A system that includes this.

[0882] (Claim 2)

[0883] The system according to claim 1, comprising means for providing real-time information on tourist attractions and congestion throughout a city.

[0884] (Claim 3)

[0885] The system according to claim 1, which includes means for travelers to upload images they have taken and exchange information with other users.

[0886] "Example 2 of combining an emotion engine"

[0887] (Claim 1)

[0888] A means of performing calculations that generate a travel plan considering the user's input, travel destination, dates, budget, and preferred activities.

[0889] A means for analyzing a user's emotional state using an emotion detection engine and reflecting the results in a travel plan,

[0890] A means of sending the generated travel plan to the device, displaying it to the user, and receiving feedback,

[0891] A means for producing voice output that adjusts the tone of guidance in tourist destinations based on user emotions analyzed using an AI model,

[0892] A means of communication that allows users to share travel experiences and emotional data, and to promote interaction among users with similar hobbies.

[0893] A means of dynamically recalculating travel plans in response to events and weather changes,

[0894] A system that includes this.

[0895] (Claim 2)

[0896] The system according to claim 1, comprising means for obtaining the user's current location information and providing real-time tourist information tailored to their emotions based on that information.

[0897] (Claim 3)

[0898] The system according to claim 1, comprising means for making adjustments to dynamically customize the content and tone of voice guidance based on the settings and language of the AI ​​guidance character selected by the user.

[0899] "Application example 2 when combining with an emotional engine"

[0900] (Claim 1)

[0901] A means for performing calculations to generate a travel plan based on user input information and emotional state,

[0902] A means for displaying generated travel plans and recommended information tailored to the user's emotions, and for receiving feedback,

[0903] A means for generating output to provide tourist destination-related guidance by an AI character that responds to the user's emotional state,

[0904] A means of communication to share travel-related information among users and to facilitate interaction based on emotional data,

[0905] A means of providing promotional information for tourist destinations and local economies, and delivering it in a way that optimizes it according to emotions.

[0906] A system that includes this.

[0907] (Claim 2)

[0908] The system according to claim 1, comprising means for acquiring the user's location information and emotional state, and adjusting real-time tourist information according to the emotional state based on thereon.

[0909] (Claim 3)

[0910] The system according to claim 1, comprising means for making adjustments to customize the content of the guidance based on the settings, language, and emotional state of the AI ​​character selected by the user. [Explanation of symbols]

[0911] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means for performing calculations to generate a travel plan based on user input information, A means of displaying the generated travel plan to the user and receiving feedback, A means for outputting audio guidance related to tourist destinations using an AI character, A means of communication to facilitate the sharing and interaction of travel-related information among users, A means of distributing information to promote tourist destinations and local economies, A system that includes this.

2. The system according to claim 1, which includes means for obtaining the user's current location information and providing real-time tourist information based on that information.

3. The system according to claim 1, comprising means for making adjustments to customize the content of voice guidance based on the settings and language of the AI ​​character selected by the user.

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