system

Abstract

Provide a system. A means for a user to input basic information and travel preferences; means for selecting potential destinations based on the basic information and travel preferences; means for suggesting the destination candidates to a user; means for suggesting and booking activities based on said destination; a means of providing real-time user support during the journey; a means of collecting post-trip feedback; A system including:

Description

[Technical Field]

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

[0002] Patent document 1 discloses a persona chatbot control method performed by at least one processor, the method including the steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to a description of the 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] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] Conventional travel planning systems have made it difficult for travelers to select destinations and activities that meet their preferences, and they have faced challenges in that they do not provide real-time support during the trip or sufficient feedback collection after the trip. In particular, if consistent support is not provided to users at each step of the trip, travelers will feel inconvenienced and their satisfaction will decrease. [Means for solving the problem]

[0005] To solve this problem, the present invention provides a system including: a means for a user to input basic information and travel preferences; a means for selecting candidate destinations based on the basic information and travel preferences; a means for suggesting the candidate destinations to the user; a means for suggesting and booking activities based on the destinations; a means for providing real-time support to the user during the trip; and a means for collecting feedback after the trip. The candidate destination selection means utilizes an AI algorithm to suggest optimal travel destinations based on the user's preferences. Furthermore, the real-time support means includes a means for providing navigation based on the user's current location, thereby improving convenience during the trip.

[0006] "User" refers to any individual or entity that utilizes the System to receive travel planning and various travel-related services.

[0007] "Basic Information" refers to the name, contact information, and other identifying information about a user.

[0008] "Travel preferences" refers to individual information such as the user's preferred travel style, budget, desired travel destinations, and past travel history.

[0009] "Destination candidates" refer to travel destinations that may be selected based on the user's basic information and travel preferences.

[0010] "Means of suggestion" refers to the technical means by which the system displays or notifies the user of potential destinations or activities selected by the system.

[0011] "Activities" refers to actions and activities such as sightseeing, experiences, events, restaurant reservations, etc. that can be undertaken at a travel destination.

[0012] "Booking Means" refers to the technical means that processes the booking for the selected activity on your behalf.

[0013] "Real-time support" refers to immediate assistance and information provided based on the user's current location and situation during the trip.

[0014] "Feedback" refers to the evaluations and opinions about the travel experience provided by the user after the trip is completed.

[0015] "AI algorithm" refers to a calculation method that uses artificial intelligence technology to analyze data and provide optimal options.

[0016] "Current location" refers to the geographic location where a user is physically located during a journey.

[0017] "Means for providing navigation" refers to the technical means for providing directions to a user to reach a destination. [Brief explanation of the drawings]

[0018] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9]1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0019] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0020] First, the terms used in the following description will be explained.

[0021] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0022] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0023] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0024] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0025] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0026] [First embodiment]

[0027] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0028] 1, a 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.

[0029] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0030] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0031] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the 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.

[0032] 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 of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0033] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0034] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0035] 2, in the data processing device 12, a specific process 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" according to the technology of the present 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 process 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.

[0036] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0037] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0038] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0039] The present invention relates to a system that allows users to input basic information and travel preferences, and provides optimal travel plans and real-time support based on that information. The program of this system operates while interacting between the user, server, and terminal as follows:

[0040] User registration and profile settings

[0041] When a user first visits the TravelWhiz Explorer website or application, the server prompts the user for basic information and travel preferences, including name, contact information, preferred travel style (e.g., relaxation, adventure, cultural experiences, etc.), budget range, and past travel history. The server stores this information in a database to create a personalized profile for the user.

[0042] Destination Selection

[0043] The server uses an AI algorithm to select the most suitable destination candidates based on the user's saved basic information and travel preferences. These candidates also take into account factors such as season, weather, beautiful tourist spots, and past data. The selected destination candidates are then presented to the user via their device. Users can then view a brief description of each candidate, its main attractions, and photos.

[0044] Activity suggestions and bookings

[0045] Based on the selected destination information, the server suggests activities that match the user's preferences. Activities include visiting tourist spots, adventure tours, and restaurant reservations. The user selects the activities that interest them from the suggested activities. After selection, the server handles the reservation procedure for each activity and notifies the terminal of the reservation completion confirmation.

[0046] Real-time support during your trip

[0047] During the trip, the device will provide real-time support to the user. For example, if the user gets lost, the device will use GPS to navigate from the current location to the destination. In addition, it will provide detailed information about tourist spots and local emergency contacts as needed.

[0048] Post-trip feedback collection

[0049] After the trip is over, the server will send the user an email or a notification, asking them to rate their trip satisfaction and each activity. The server will analyze the feedback provided by the user and use it to customize the next trip plan and improve the system, thereby further improving the user's future travel experience.

[0050] Specific examples

[0051] For example, if a travel-loving individual (user) uses this system to plan a weekend trip, the user first accesses the system and enters basic information and travel preferences to create a profile. Next, the server uses this information to suggest potential destinations suitable for a weekend trip (such as hot springs or natural parks). If the user selects a hot spring from the list, the server will suggest hiking trails and local restaurants in the hot springs area, and once the user makes a selection, the reservation process will be completed automatically. If the user gets lost during the trip, the device will provide real-time navigation and guide them to the shortest route to the hot springs. After the trip, the user can fill out a feedback form in the system, and that information will be reflected in future travel plans.

[0052] In this way, the present invention is a system that improves the user experience by personalizing each user's individual travel experience and providing consistent support at each stage of the journey.

[0053] The processing flow will be explained below.

[0054] Step 1:

[0055] A user visits the TravelWhiz Explorer website or app and opens the registration screen.

[0056] Step 2:

[0057] The user enters basic information and travel preferences, such as name, contact information, preferred travel style (relaxation, adventure, cultural experience, etc.), budget range, and past travel history, and submits.

[0058] Step 3:

[0059] The server receives the submitted basic information and travel preferences and stores them in a database to create a profile of the user.

[0060] Step 4:

[0061] Based on the user's profile information, the server uses an AI algorithm to select the most suitable destination candidates, taking into account factors such as weather, season, scenic spots, and historical data.

[0062] Step 5:

[0063] The server sends the selected destination candidates to the device, which then displays them to the user. Each destination includes a brief description, key attractions, and photos.

[0064] Step 6:

[0065] The user selects a destination from the proposed destination candidates.

[0066] Step 7:

[0067] Based on the selected destination, the server suggests activities (such as sightseeing visits, adventure tours, restaurant reservations, etc.) that match the user's travel style and budget.

[0068] Step 8:

[0069] The user selects an activity that interests them from the presented activities and submits a reservation request.

[0070] Step 9:

[0071] The server receives the user's reservation request, coordinates with the service provider of each activity, and performs the reservation procedure on the user's behalf. Once the reservation is completed, confirmation information is sent to the terminal.

[0072] Step 10:

[0073] Once the journey begins, the device provides real-time assistance to the user, for example, using GPS to navigate from the current location to the destination if the user gets lost.

[0074] Step 11:

[0075] After the trip is over, the server sends an email or a notification to the user, asking for their satisfaction with the entire trip and a rating for each activity.

[0076] Step 12:

[0077] The user fills out and submits the feedback form.

[0078] Step 13:

[0079] The server analyzes the collected feedback and stores it in a database, which is used to customize your next travel plan and improve the system.

[0080] Example 1

[0081] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0082] Conventional travel planning systems make it difficult for users to find the best destinations and activities for their trips, and lack real-time support during the trip. They also lack the ability to collect post-trip feedback and customize the next trip plan based on that feedback, hindering an improved user experience.

[0083] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0084] In this invention, the server includes means for a user to input basic information and travel preferences, means for selecting destination candidates based on the basic information and travel preferences, means for suggesting the destination candidates to the user, means for suggesting and booking activities based on the destinations, means for supporting the user in real time during the trip, and means for collecting feedback after the trip, thereby enabling the user to easily find an optimal travel plan tailored to their preferences, receive real-time support during the trip, and provide feedback after the trip to further improve their experience next time.

[0085] A "User" is an individual who utilizes the system to create a travel plan and provide support and feedback during the trip.

[0086] "Basic Information" is personal data such as the user's name, contact information, travel preferences and budget.

[0087] "Travel preferences" are specific conditions such as the style and purpose of a user's travel, such as relaxation, adventure, or cultural experience.

[0088] "Destination candidates" are travel destination options suggested based on the user's basic information and travel preferences.

[0089] "Activities" are specific activities and experiences that take place during a trip, such as visiting tourist attractions at a destination, taking an adventure tour, or booking a restaurant.

[0090] "Reservation Method" means a method for reserving a User's selected activity through a formal procedure, which may be performed using the application programming interface of a third-party reservation system.

[0091] "Real-time support" refers to assistance that provides users with the information, directions, emergency contact information, and other information they need while traveling based on their current situation.

[0092] "Feedback" refers to opinions, impressions, and evaluations of each activity that users provide to the system after completing their trip.

[0093] "Artificial intelligence algorithms" are advanced computational techniques used to analyze data and select optimal destination candidates based on a user's basic information and travel preferences.

[0094] The present invention relates to a system that allows users to input basic information and travel preferences, and provides optimal travel plans and real-time support based on that information. The program of this system operates while interacting with the user, server, and terminal.

[0095] First, a user accesses the system using a web interface or application provided via the Internet. When accessing, the user enters basic information (such as name, contact information, and past travel history) and travel preferences (e.g., travel style, budget range, etc.). This input information is stored by the server in a database (e.g., MySQL (registered trademark) or PostgreSQL), and an individual profile for the user is generated.

[0096] Next, the server uses an AI algorithm (e.g., TENSORFLOW (registered trademark) or PyTorch) based on the saved user information to select optimal destination candidates, taking into account factors such as season, weather, beautiful tourist spots, and past data. These selected destination candidates are then suggested to the user via their device. The suggested candidates include information such as a brief description of each destination, its main tourist spots, and photos.

[0097] Furthermore, the server suggests activities (such as sightseeing, adventure tours, and restaurant reservations) that match the user's preferences based on the selected destination information. When the user selects an activity that interests them from the suggested activities, the server uses the API of a third-party reservation system (e.g., the API of Booking.com or OpenTable) to process the reservation on their behalf. Once the reservation is confirmed, information indicating that the reservation is complete is sent to the terminal.

[0098] If a user needs real-time support while traveling, for example if they get lost, the device uses GPS to send their current location information to the server. The server uses this information to calculate the optimal route using a map service (e.g., Google (registered trademark) Maps) and sends that route information to the device. This allows the user to reach their destination smoothly. Other information such as detailed information about tourist spots and emergency contact details is also provided.

[0099] After the trip is over, the server sends the user a feedback request email or app notification, asking them to rate their trip satisfaction and each activity. When the user enters and submits their feedback, the information is stored in a database and used for analysis. This allows for future travel plan customization and system improvements.

[0100] Specific examples

[0101] For example, if a travel-loving individual (user) uses this system to plan a weekend trip, the user first accesses the system and enters basic information and travel preferences to create a profile. Next, the server uses this information to suggest potential destinations suitable for a weekend trip (such as hot springs or natural parks). If the user selects a hot spring, the server will suggest hiking trails and local restaurants in the hot springs area, and once the user makes a selection, the reservation process will be completed automatically. If the user gets lost during the trip, the device will provide real-time navigation and guide them to the shortest route to the hot springs. After the trip, the user can fill out a feedback form in the system, and that information will be reflected in future travel plans.

[0102] Prompt Sentence Examples

[0103] "I'm planning a trip with an emphasis on cultural experiences. My budget is under ¥100,000 and I'm looking for a relaxing place. I've been to Europe before. Can you recommend some destinations and activities?"

[0104] By inputting this prompt into a generative AI model, the system described above can suggest optimal travel destinations and activities, helping to personalize the user's travel experience.

[0105] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0106] Step 1: Register and set up your profile

[0107] A user accesses a web interface or application provided via the Internet. The user enters basic information (such as name, contact information, and past travel history) and travel preferences (such as travel style and budget range). The server receives this input data and stores it in a database. Specifically, when the user presses the "Submit" button, the server processes the data, stores it securely in a database, and generates a user profile. The input is the user's basic information and travel preferences, and the output is storage in a database and generation of a user profile.

[0108] Step 2: Select a destination

[0109] The server retrieves the user's basic information and travel preferences from a database. Next, the server uses an AI algorithm (e.g., TensorFlow or PyTorch) to select the most suitable destination candidates, taking into account factors such as season, weather, beautiful tourist spots, and past data. Specifically, the AI ​​model scores destinations based on the user's preferences and suggests the top selected destination candidates to the user. The input is the user's basic information and travel preferences, and the output is the selected destination candidates.

[0110] Step 3: Propose potential destinations

[0111] The server sends the selected destination candidates to the user's device. The user can then view a brief description of each destination candidate, information about tourist attractions, and photos on their device. Specifically, the server sends data to the device in HTML or JSON format, which the user can view using an application that displays the data. The input is the selected destination candidates, and the output is the destination information displayed on the user's device.

[0112] Step 4: Suggest and book an activity

[0113] The server suggests activities to the user based on the destination information. The user selects the activity that interests them from the suggested activities. The server then handles the reservation process on their behalf using the API of a third-party reservation system (for example, the API of Booking.com or OpenTable). Specifically, the server sends an API request, and once the reservation is completed, it saves the information in a database and notifies the user's device. The input is the activity selected by the user, and the output is reservation completion information.

[0114] Step 5: Real-time support during your trip

[0115] When a user requests real-time support while traveling, they use GPS to send their current location information from their device to a server. The server uses this information to calculate the optimal route using a map service (e.g., Google Maps) and sends the route information to the device. Specifically, when a user gets lost, they send a request from their device, and the server provides navigation information in real time. The input is the user's current location information, and the output is navigation information.

[0116] Step 6: Collect post-trip feedback

[0117] After the trip is over, the server sends the user an email or app notification requesting feedback. The user fills in a feedback form with their satisfaction with the trip and ratings for each activity and submits it. The server stores this data in a database and uses it to customize the next trip plan and improve the system. Specifically, the server sends the feedback form, and the user fills it out and submits it, saving the data. The input is the user's feedback, and the output is the rating information stored in the database.

[0118] (Application example 1)

[0119] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0120] Conventional travel planning systems only provide simple suggestions based on a user's basic information and travel preferences, which means they are unable to provide the travel experience that each user truly desires. They also lack real-time navigation support and the ability to incorporate post-trip feedback into future travel plans. Therefore, to improve user satisfaction, a more personalized experience and real-time support are needed.

[0121] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0122] In this invention, the server includes a means for a user to input basic information and travel preferences, a means for selecting candidate destinations based on the basic information and travel preferences, and a means for analyzing the user's profile using a generative AI model, thereby enabling the server to propose an optimal travel plan for each user.

[0123] Furthermore, the server includes means for being installed in the infotainment system, means for a user to input basic information and travel preferences using voice recognition or a touch screen, means for providing navigation during the trip using GPS, and means for providing support during the trip using the generative AI model, thereby enabling real-time support during the trip and improving the user experience.

[0124] The server also includes a means for collecting post-trip feedback and a means for customizing the next trip plan based on the feedback using the generative AI model, thereby enabling continuous improvement of user satisfaction and subsequent service quality.

[0125] "Basic information" is a general term for personal data about a user, such as their name, contact information, and past travel history.

[0126] "Travel preferences" refers to information such as a user's preferred travel style, budget range, specific activities, and themes of interest.

[0127] "Destination candidates" are potential travel destinations selected by an AI algorithm based on the user's basic information and travel preferences.

[0128] "Activities" refer to specific actions or events that users can participate in during their trip, such as visiting tourist attractions, adventure tours, or restaurant reservations.

[0129] "Real-time support" refers to assistance such as navigation and emergency contact that is provided to users immediately during their trip.

[0130] "Feedback" refers to data collected from users after the trip is completed, regarding their satisfaction with the trip and their evaluation of each activity.

[0131] An "infotainment system" is a system installed in an autonomous vehicle that provides information and entertainment functions.

[0132] "Speech recognition" is the technology that identifies a user's voice input and converts it into text or commands.

[0133] A "touch screen" is a display device that allows a user to input information or perform operations by touching the screen.

[0134] "GPS" is a global positioning system that measures positions on Earth with high precision.

[0135] A "generative AI model" is an artificial intelligence algorithm that analyzes data based on user profiles and feedback to provide optimal travel plans and support.

[0136] This invention is a system that allows users to input basic information and travel preferences, and provides optimal travel plans and real-time support based on that information. This system operates through interaction between the user, server, and terminal. Each function of the system is described in detail below.

[0137] User registration and profile settings

[0138] Users use the autonomous vehicle's infotainment system to input their basic information and travel preferences. The device is equipped with a touchscreen and a voice recognition system, and users input information using these means. For example, a user might provide information by voice, such as, "My name is Taro Tanaka. I'd like to take a relaxing trip within 100,000 yen."

[0139] Destination Selection

[0140] The server uses a generative AI model to select the best possible destinations based on the user's basic information and travel preferences. The AI ​​model analyzes the user's profile and takes into account factors such as season, weather, scenic spots, and historical data. The selected destinations are then displayed on the device's screen.

[0141] Activity suggestions and bookings

[0142] Based on the selected destination information, the server suggests activities tailored to the user's preferences. Examples include visiting tourist spots, adventure tours, and restaurant reservations. The user selects the activities that interest them using voice or the touchscreen. After selection, the server handles the reservation procedure for each activity and notifies the terminal of the reservation completion confirmation.

[0143] Real-time support during your trip

[0144] While traveling, the device uses GPS to provide navigation from the user's current location to their destination. If the user gets lost, the device will provide real-time guidance on the optimal route. It also provides detailed information on tourist attractions and local emergency contacts.

[0145] Post-trip feedback collection

[0146] After the trip is completed, the server sends a notification to the user prompting them to provide feedback. The user can input the feedback by voice or touchscreen. The server analyzes the feedback and uses a generative AI model to customize the next trip plan and improve the system.

[0147] Hardware and software used

[0148] Hardware:

[0149] Autonomous vehicle infotainment systems (touchscreens, speakers, microphones, GPS systems)

[0150] software:

[0151] Database management system (e.g. MySQL)

[0152] Server-side programs (e.g., Node.js)

[0153] Mobile applications (e.g. React Native or Swift)

[0154] Speech recognition systems (e.g., Google Cloud Speech-to-Text)

[0155] Generative AI models (e.g., GPT-3® or GPT-4®)

[0156] Specific examples

[0157] For example, a user planning a trip to Hokkaido might enter a prompt such as, "My name is Taro Tanaka. I'd like a relaxing trip with a budget of less than 100,000 yen." The generative AI model then suggests Hakodate City as the optimal destination and offers a plan that includes beautiful night views and hot spring inns. During the trip, GPS provides real-time navigation from the user's current location, and after the trip, feedback is collected and reflected in the next plan.

[0158] In this way, the system of the present invention enhances the user experience by personalizing each user's individual travel experience and providing consistent support at every stage of the journey.

[0159] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0160] Step 1:

[0161] The user enters basic information and travel preferences.

[0162] Input: The user uses the infotainment system's touchscreen or voice recognition to enter basic information such as name, contact information, travel style, budget, and past travel history.

[0163] Processing: The terminal accepts the entered information and stores it in the initial format.

[0164] Output: Basic information and travel preference data is sent to the server.

[0165] Step 2:

[0166] The server selects potential destinations using a generative AI model based on the user's basic information and travel preferences.

[0167] Input: The server receives basic information and travel preference data.

[0168] Processing: A generative AI model analyzes the user's profile and selects the best possible destinations, taking into account factors such as season, weather, and tourist attractions.

[0169] Output: Destination candidate data is generated and sent to the terminal.

[0170] Step 3:

[0171] The terminal proposes destination candidates to the user.

[0172] Input: Destination candidate data sent from the server.

[0173] Processing: The device displays potential destinations on the screen, along with brief descriptions and photos. Voice reading is also possible.

[0174] Output: The user is presented with the best possible destinations both visually and audibly.

[0175] Step 4:

[0176] The user selects one of the suggested destinations.

[0177] Input: Select your destination using the display or voice input.

[0178] Processing: The terminal records the selected destination information and sends it to the server.

[0179] Output: The selected destination information is sent to the server.

[0180] Step 5:

[0181] The server suggests activities based on the selected destination and handles the booking process.

[0182] Input: Selected destination information.

[0183] Processing: The generative AI model selects activities relevant to the destination and suggests them based on the user's preferences. The server contacts the booking service and books the activities based on the user's selection.

[0184] Output: Activity reservation completion information is sent to the terminal.

[0185] Step 6:

[0186] The device provides real-time support during the journey.

[0187] Input: User's current location data (from GPS).

[0188] Processing: The device uses the GPS system to obtain the current location and uses generative AI models to generate optimal navigation information, as well as tourist attractions and emergency contact information.

[0189] Output: Real-time navigation and support information is provided to the user.

[0190] Step 7:

[0191] The server collects feedback after the trip and uses it to customize your next travel plan.

[0192] Input: Feedback data (provided by user after trip).

[0193] Processing: The server analyzes the feedback and uses a generative AI model to customize your next trip plan. The system also improves based on the feedback.

[0194] Output: Customized next trip plan and system improvement information.

[0195] Through these processing steps, the present invention can individually personalize a user's travel experience and provide consistent support at every stage.

[0196] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0197] The present invention relates to a system that recognizes a user's emotional state in addition to basic information and travel preferences, and provides a customized travel plan for each step based on the user's emotional state. The program of this system operates while interacting with the user, server, terminal, and emotion engine as follows:

[0198] User registration and profile settings

[0199] When a user first visits the TravelWhiz Explorer website or application, the server prompts the user to enter basic information and travel preferences, including name, contact information, preferred travel style (e.g., relaxation, adventure, cultural experiences, etc.), budget, past travel history, etc. This information is stored by the server in a database to create a personalized profile for the user.

[0200] Destination Selection

[0201] The server uses an AI algorithm to select the most suitable destination candidates based on the user's basic information and travel preferences. Candidates are selected based on many factors, including weather, season, tourist attractions, and past data. The results are presented to the user via their device, allowing them to view detailed information about each candidate (descriptions, tourist attractions, photos, etc.).

[0202] The role of the emotional engine

[0203] The emotion engine analyzes user input and sensor data (e.g., facial recognition, voice tone analysis) to determine the user's emotional state, which is used to further personalize the travel plan. For example, if the user is feeling stressed, the emotion engine will suggest more relaxing activities.

[0204] Activity suggestions and bookings

[0205] The server then suggests activities that reflect the user's emotional state based on the selected destination. For example, if the emotion engine determines that the user is looking for relaxation, the server will prioritize activities such as spas, hot springs, and quiet tourist spots. Once the user selects an activity, the server handles the reservation process and sends confirmation information to the device.

[0206] Real-time support during your trip

[0207] Once the trip begins, the device provides real-time support to the user. The device uses GPS to track the user's location and provides navigation and emergency contact information as needed. The emotion engine also monitors the user's emotional state during the trip. If signs of anxiety or stress are detected, the server can take action to provide appropriate support.

[0208] Post-trip feedback collection

[0209] After the trip is over, the server will send a notification to the user requesting feedback. The user can provide feedback on their overall trip satisfaction and each activity through a feedback form, and the server will analyze this information and store it in a database, which will help further personalize their next trip plan and improve the user experience.

[0210] Specific examples

[0211] For example, suppose a user uses the system to plan a weekend trip. First, the user enters basic information and travel preferences on a registration screen. Based on this, the server suggests suitable destination candidates, and the user selects one. The emotion engine then analyzes the user's emotional state. If it recognizes that the user is tired, it suggests a relaxing activity (such as a spa or hot spring). The selected activity is booked by the server, and confirmation information is sent to the device. During the trip, the device supports the user in real time, and the emotion engine monitors the user's emotional state to provide additional support as needed. After the trip, the server collects feedback and incorporates it into the next travel plan.

[0212] Thus, the present invention is a system that provides a more personalized travel experience by taking into account the user's emotional state in addition to basic information and travel preferences.

[0213] The processing flow will be explained below.

[0214] Step 1:

[0215] A user visits the TravelWhiz Explorer website or app and opens the registration screen.

[0216] Step 2:

[0217] The user enters basic information such as name, contact information, travel preferences (relaxation, adventure, cultural experiences, etc.), budget range, and past travel history and submits.

[0218] Step 3:

[0219] The server receives the submitted basic information and travel preferences and stores them in a database to create a profile of the user.

[0220] Step 4:

[0221] Based on the user's profile information, the server uses an AI algorithm to select multiple possible destinations, taking into account factors such as weather, season, scenic spots, and historical data.

[0222] Step 5:

[0223] The server sends the selected destination candidates to the device, which then displays them to the user. Each destination includes a brief description, key attractions, and photos.

[0224] Step 6:

[0225] The user selects a destination from the proposed destination candidates.

[0226] Step 7:

[0227] Based on the selected destination, the server suggests activities (such as sightseeing visits, adventure tours, restaurant reservations, etc.) that match the user's travel style and budget.

[0228] Step 8:

[0229] The emotion engine analyzes user input and sensor data (such as facial recognition and voice tone analysis) to determine the user's emotional state.

[0230] Step 9:

[0231] The server uses data from the emotion engine to prioritize and suggest activities that correspond to the user's emotional state. For example, if the emotion engine determines that the user is tired, it will prioritize and suggest relaxing activities (e.g., spas, hot springs).

[0232] Step 10:

[0233] The user selects an activity that interests them from the presented activities and submits a reservation request.

[0234] Step 11:

[0235] The server receives the user's reservation request, works with the activity service provider to complete the reservation procedure, and sends confirmation information to the terminal once the reservation is complete.

[0236] Step 12:

[0237] Once the journey begins, the device provides real-time support to the user, using GPS to navigate from the current location to the destination.

[0238] Step 13:

[0239] The emotion engine monitors the user's emotional state during the trip, and if it detects signs of anxiety or stress, the server will take action, such as re-suggesting relaxing activities or providing emergency support.

[0240] Step 14:

[0241] After the trip is over, the server sends the user an email or a notification requesting their satisfaction with the entire trip and a rating for each activity.

[0242] Step 15:

[0243] The user fills out and submits the feedback form.

[0244] Step 16:

[0245] The server analyzes the collected feedback and stores it in a database, which is used to customize your next travel plan and improve the system.

[0246] Example 2

[0247] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0248] Conventional travel planning systems provide travel plans based on a user's basic information and travel preferences, but lack personalization that takes into account the user's emotional state. As a result, it is difficult to provide flexible travel plans that respond to the user's changing emotional state in real time, and it has been difficult to improve satisfaction during the trip.

[0249] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0250] In this invention, the server includes means for a user to input basic information and travel preferences, means for selecting candidate destinations based on the basic information and travel preferences, means for suggesting the candidate destinations to the user, means for suggesting and booking activities based on the destinations, means for supporting the user in real time during the trip, means for collecting feedback after the trip, means for recognizing and analyzing emotional states, and means for customizing activities based on the emotional states, thereby making it possible to provide a flexible travel plan that corresponds to the user's emotional states and improve satisfaction during the trip.

[0251] 1. "Means for users to input basic information and travel preferences" refers to the interface through which users input information into the system, such as their name, contact information, preferred travel style, budget, and past travel history.

[0252] 2. "Basic Information" refers to personally identifiable information such as a user's name, contact information, and date of birth.

[0253] 3. "Travel preferences" refers to information such as the user's preferred travel style, purpose, budget, and past travel history.

[0254] 4. "Means for selecting potential destinations" refers to the AI ​​algorithms and analytical engines that select optimal travel destinations based on the user's basic information and travel preferences.

[0255] 5. "AI algorithm" refers to artificial intelligence technology that analyzes large amounts of data and learns patterns to derive optimal results.

[0256] 6. "Means for suggesting destination candidates to the user" refers to an interface that presents information about selected destinations to the user and prompts them to make a selection.

[0257] 7. "Activity suggestion and booking mechanism" refers to a system that further customizes a user's travel plans based on selected destinations and makes reservations on their behalf.

[0258] 8. "Means of providing real-time support to users while traveling" refers to functions that provide necessary information and support according to the user's current location and situation while traveling.

[0259] 9. "Means for collecting feedback" refers to the procedures for collecting opinions from users after the trip, such as satisfaction and areas for improvement.

[0260] 10. "Means for recognizing and analyzing emotional state" means a system for determining a user's current emotional state, such as by using facial recognition or voice analysis of the user.

[0261] 11. "Means for customizing activities based on emotional state" refers to a mechanism for selecting and suggesting optimal activities based on the user's emotional state.

[0262] The present invention is a system that recognizes a user's emotional state in addition to basic information and travel preferences, and provides a customized travel plan at each step. This system operates in cooperation with each element: server, terminal, user, and emotion engine.

[0263] Hardware and software used

[0264] Hardware: Internet-connected devices (PCs, smartphones, tablets)

[0265] Software: websites or mobile applications, facial recognition software, voice tone analysis software, AI algorithms (e.g., TensorFlow, PyTorch)

[0266] User registration and profile settings

[0267] When a user first accesses the system, the server prompts the user to enter basic information and travel preferences, including name, contact information, travel style (relaxed, adventurous, cultural, etc.), budget, and past travel history. This information is then stored in a database by the server, creating a personalized profile.

[0268] Destination Selection

[0269] The server uses AI algorithms to select the best possible destinations based on the user's basic information and travel preferences. Candidate locations are selected taking into account factors such as weather, season, tourist attractions, and past data. The results are then presented to the user via their device.

[0270] Emotional state analysis using emotion engine

[0271] The emotion engine analyzes user input data and sensor data (e.g., facial recognition, voice tone analysis) to determine the user's emotional state. For example, if stress is detected, it will suggest relaxing activities. The analysis results are sent to the server.

[0272] Activity suggestions and bookings

[0273] The server then suggests the most suitable activity based on the selected destination and the user's emotional state. Once the user selects a suggested activity, the server handles the reservation process and sends confirmation information to the terminal.

[0274] Real-time support during your trip

[0275] Once the trip begins, the device tracks the user's current location via GPS and provides navigation and emergency contact information as needed. The emotion engine also monitors the user's emotional state in real time, and if stress or anxiety is detected, the server provides appropriate support.

[0276] Post-trip feedback collection

[0277] After the trip, the server sends a feedback request to the user. When the user enters their satisfaction with the trip and their evaluation of each activity in the feedback form, the server collects the data and uses it to plan their next trip.

[0278] Specific examples

[0279] For example, when a user plans a weekend trip, they first enter their basic information and travel preferences. The server then suggests potential destinations based on this information, and the user selects one. The emotion engine then analyzes the user's emotional state and suggests a spa or hot spring if it determines that relaxation is needed. Once the reservation is complete, confirmation information is sent to the device. During the trip, the device provides real-time support and navigation as needed. After the trip is over, the server collects feedback and incorporates it into the next trip.

[0280] Prompt Sentence Examples

[0281] 1. Register your basic information (name, contact information, etc.) and travel preferences (e.g., relaxation, adventure, etc.).

[0282] 2. Based on your registration information, we will suggest the best travel destinations for you.

[0283] 3. Analyze your current emotional state and suggest travel activities based on the results.

[0284] 4. If you select a proposed activity, please book it on your behalf and provide your confirmation information.

[0285] The above is an embodiment of the present invention.

[0286] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0287] Step 1: Register and set up your profile

[0288] A user visits a website or application and enters basic information (such as name, contact information, and date of birth) and travel preferences (such as relaxation, adventure, or cultural experiences).

[0289] Input: User's basic information and travel preferences

[0290] Action: Enter data into the form and click the submit button.

[0291] The server receives this and stores it in a database.

[0292] Output: An individual profile for the user is created in the database.

[0293] Step 2: Select a destination

[0294] The server uses AI algorithms to select the best possible destinations based on the user's basic information and travel preferences.

[0295] Input: User's basic information, travel preferences

[0296] How it works: Retrieves user information from a database and analyzes it using AI algorithms (e.g., TensorFlow, PyTorch), taking into account weather, seasons, tourist attractions, historical data, etc.

[0297] Output: Generate a list of optimal destination candidates and send it to the device.

[0298] Step 3: Propose potential destinations

[0299] The terminal presents the destination candidates received from the server to the user.

[0300] Input: A list of destination candidates sent from the server

[0301] What it does: Displays detailed information (description, attractions, photos) about a potential destination in a user interface.

[0302] Output: The user reviews the destination options and makes a selection.

[0303] Step 4: Analyze emotional state

[0304] The emotion engine analyzes user input data and sensor data (e.g., facial recognition, voice tone analysis) to determine the current emotional state.

[0305] Input: User's face image data, voice data

[0306] What it does: Analyzes emotional state using facial recognition and tone analysis software.

[0307] Output: Send emotional state data (e.g., stressed, relaxed, excited, etc.) to the server.

[0308] Step 5: Suggest and book an activity

[0309] The server suggests activities to the user based on the emotional state data and the selected destination. Once the user selects an activity, the server handles the booking process and sends confirmation to the terminal.

[0310] Input: Emotional state data, selected destination

[0311] Action: Based on this, an activity list is generated and presented to the user. The activities selected by the user are sent to the booking system and the booking is confirmed.

[0312] Output: Reservation confirmation information is sent to the terminal.

[0313] Step 6: Real-time support during your trip

[0314] Once the trip begins, the device will track the user's current location via GPS and provide navigation and emergency contact information as needed. The emotion engine will also monitor the user's emotional state in real time, and if stress or anxiety is detected, the server will provide appropriate support.

[0315] Input: User's GPS data, emotional state data

[0316] What it does: Receives GPS data to track your location, provides navigation instructions and emergency contact information when needed, and monitors your emotional state in real time.

[0317] Output: Navigation information, support information if anxiety or stress is detected.

[0318] Step 7: Collect post-trip feedback

[0319] After the trip, the server sends a feedback request to the user, who provides feedback on their satisfaction with the trip and their ratings for each activity. The server then collects this data and uses it to plan their next trip.

[0320] Input: User feedback data (satisfaction, activity rating)

[0321] What it does: Sends a feedback form to the user, stores their responses in a database and analyzes them.

[0322] Output: Improved future trip planning based on feedback data.

[0323] (Application example 2)

[0324] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0325] Current shopping assistant systems suggest products without considering the user's emotional state, which can result in products that do not match the user's mood or emotions. This can make it difficult to stimulate the user's purchasing motivation and can reduce satisfaction. There is a need to solve this problem and provide more personalized product suggestions based on the user's emotional state.

[0326] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for a user to input basic information and travel preferences, means for selecting destination candidates based on the basic information and travel preferences, means for suggesting the destination candidates to the user, means for suggesting and booking activities based on the destinations, means for supporting the user in real time during the trip, means for collecting feedback after the trip, and means for recognizing the user's emotional state and suggesting personalized products and services based on the recognition. This makes it possible to provide products and services that are optimal for the user's emotional state.

[0327] A "user" is an entity that uses the system and is an individual or organization that inputs basic information and travel preferences.

[0328] "Basic Information" is basic data about the user, such as the user's name, contact information, travel preferences, budget, and past travel history.

[0329] "Travel preferences" is information about the style and activities that the user prefers when traveling, such as relaxation, adventure, or cultural experiences.

[0330] "Destination candidates" are travel destination candidates selected by the server based on the user's basic information and travel preferences.

[0331] "Activities" refer to events and experiences that users can participate in at their travel destination, and can range from sightseeing, sports, and relaxation.

[0332] "Emotional state" refers to the user's current mood or psychological state, and is information determined by methods such as facial recognition or voice tone analysis.

[0333] "Personalization" is the process of optimizing the services and products offered based on a user's individual attributes and preferences.

[0334] "Real-time support" is a function that provides immediate assistance and information in response to various situations that users may encounter while traveling.

[0335] "Feedback" refers to information provided by a user after completing a trip, such as satisfaction with the entire trip and evaluation of each activity.

[0336] An "emotion recognition engine" is a technology that evaluates a user's emotional state using methods such as facial recognition and voice tone analysis, and feeds the results back to the system.

[0337] The present invention is a system that recognizes a user's emotional state in addition to their basic information and travel preferences, and provides customized travel plans and shopping suggestions at each step based on that.

[0338] System configuration

[0339] This system operates through interaction between the server, the terminal, and the emotion recognition engine. Specifically, it uses the following hardware and software:

[0340] Server: Manages the database, runs AI algorithms, generates travel plans and product recommendations.

[0341] Terminal: A smartphone or smart glasses is used as the user interface, and information is exchanged between the user and the server.

[0342] Emotion Recognition Engine: Recognizes the user's emotional state using facial recognition libraries such as DeepFace and voice tone analysis software.

[0343] User registration and profile settings

[0344] When a user first accesses a website or application, the server prompts the user to enter basic information and travel preferences, which then stores information such as name, contact information, preferred travel style, budget, and past travel history in a database to create a personalized profile for the user.

[0345] Destination selection and proposal

[0346] The server uses an AI algorithm to select the most suitable destination candidates based on the user's basic information and travel preferences. These candidates are selected based on many factors, including weather, season, tourist attractions, and past data. The results are presented to the user via their device, and the user can view detailed information about each candidate.

[0347] Emotion engine determines emotional state

[0348] The emotion recognition engine analyzes user input and sensor data (e.g., facial recognition, voice tone analysis) to determine the user's emotional state. For example, if the user is feeling stressed, the emotion recognition engine can suggest more relaxing activities or products.

[0349] Activity suggestions and bookings

[0350] The server then suggests activities that reflect the user's emotional state based on the selected destination, reserves the selected activity, and sends confirmation information to the device.

[0351] Real-time support during your trip

[0352] Once the trip begins, the device provides real-time support to the user. The device uses GPS to track the user's current location and provides navigation and emergency contact information. An emotion recognition engine also monitors the user's emotional state during the trip, and if signs of stress are detected, the server will provide appropriate support.

[0353] Post-trip feedback collection

[0354] After the trip is over, the server will send a notification to the user requesting feedback. The user can provide feedback through a feedback form to rate their overall trip satisfaction and each activity. The server will then analyze this information and store the data in a database, which will help further personalize their next trip and improve the user experience.

[0355] Examples of shopping suggestions

[0356] For example, when a user visits a supermarket, a smartphone camera performs facial recognition and an emotion recognition engine determines the user's emotional state. If the user is feeling stressed, the server will suggest relaxing goods and foods. If the user is feeling happy, the server will suggest entertainment products.

[0357] Example prompt sentence:

[0358] "When users feel stressed, we suggest relaxation products."

[0359] "When users feel happy, we suggest entertainment products."

[0360] In this way, the present invention provides a more personalized travel and shopping experience by taking into account the user's emotional state.

[0361] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0362] Step 1:

[0363] The user enters basic information and travel preferences.

[0364] Input: Name, contact information, travel preferences (relaxation, adventure, cultural experiences, etc.), budget, and past travel history.

[0365] Process: The user uses a device (smartphone or smart glasses) to enter basic information and travel preferences, which are then sent to the server.

[0366] Output: The server creates and stores the user's individual profile in a database.

[0367] Step 2:

[0368] The server selects destination candidates.

[0369] Input: User's basic information and travel preferences.

[0370] Processing: The server uses AI algorithms to calculate the best possible destinations based on many factors, including weather, season, tourist attractions, and historical data.

[0371] Output: Generate a list of selected destination candidates and send it to the device.

[0372] Step 3:

[0373] The server suggests destination candidates to the user.

[0374] Input: A list of potential destinations.

[0375] Processing: The server presents detailed information about the destination candidates (descriptions, tourist spots, photos, etc.) to the user via the terminal.

[0376] Output: The device displays detailed information about the potential destination to the user.

[0377] Step 4:

[0378] An emotion recognition engine determines the user's emotional state.

[0379] Input: User's facial photo and voice data.

[0380] Processing: The emotion recognition engine analyzes the emotional state using the DeepFace library and voice tone analysis software.

[0381] Output: Determine the user's current emotional state (e.g., stress, happiness) and send it to the server.

[0382] Step 5:

[0383] The server proposes and schedules activities.

[0384] Input: User's emotional state, selected destination.

[0385] Processing: The server selects and prioritizes activities that reflect the user's emotional state, reserves the selected activity, and generates a confirmation.

[0386] Output: Sends reservation confirmation information to the terminal.

[0387] Step 6:

[0388] The device provides real-time support during the journey.

[0389] Input: User's current location, booked activity, user's emotional state.

[0390] Processing: The device uses GPS to track the user's location and provides navigation and emergency contact information as needed. The emotion recognition engine monitors the user's emotional state, and the server provides appropriate support.

[0391] Output: Display real-time navigation information and support messages to the user.

[0392] Step 7:

[0393] The server collects post-trip feedback.

[0394] Inputs: Satisfaction and ratings for each activity entered into the feedback form.

[0395] Processing: The server collects the feedback information and stores it in a database. It then analyzes the data to help plan your next trip.

[0396] Output: Analyze the feedback data and use it to plan your next trip.

[0397] Through these steps, the present invention provides personalized travel experiences and shopping suggestions that take into account the user's emotional state.

[0398] 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 a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the 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.

[0399] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0400] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0401] [Second embodiment]

[0402] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0403] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0404] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0405] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0406] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0407] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0408] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0409] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0410] The specific processing program 56 is an example of a "program" according to the technology of the present 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.

[0411] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0412] In the smart glasses 214, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0413] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. 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."

[0414] The present invention relates to a system that allows users to input basic information and travel preferences, and provides optimal travel plans and real-time support based on that information. The program of this system operates while interacting between the user, server, and terminal as follows:

[0415] User registration and profile settings

[0416] When a user first visits the TravelWhiz Explorer website or application, the server prompts the user for basic information and travel preferences, including name, contact information, preferred travel style (e.g., relaxation, adventure, cultural experiences, etc.), budget range, and past travel history. The server stores this information in a database to create a personalized profile for the user.

[0417] Destination Selection

[0418] The server uses an AI algorithm to select the most suitable destination candidates based on the user's saved basic information and travel preferences. These candidates also take into account factors such as season, weather, beautiful tourist spots, and past data. The selected destination candidates are then presented to the user via their device. Users can then view a brief description of each candidate, its main attractions, and photos.

[0419] Activity suggestions and bookings

[0420] Based on the selected destination information, the server suggests activities that match the user's preferences. Activities include visiting tourist spots, adventure tours, and restaurant reservations. The user selects the activities that interest them from the suggested activities. After selection, the server handles the reservation procedure for each activity and notifies the terminal of the reservation completion confirmation.

[0421] Real-time support during your trip

[0422] During the trip, the device will provide real-time support to the user. For example, if the user gets lost, the device will use GPS to navigate from the current location to the destination. In addition, it will provide detailed information about tourist spots and local emergency contacts as needed.

[0423] Post-trip feedback collection

[0424] After the trip is over, the server will send the user an email or a notification, asking them to rate their trip satisfaction and each activity. The server will analyze the feedback provided by the user and use it to customize the next trip plan and improve the system, thereby further improving the user's future travel experience.

[0425] Specific examples

[0426] For example, if a travel-loving individual (user) uses this system to plan a weekend trip, the user first accesses the system and enters basic information and travel preferences to create a profile. Next, the server uses this information to suggest potential destinations suitable for a weekend trip (such as hot springs or natural parks). If the user selects a hot spring from the list, the server will suggest hiking trails and local restaurants in the hot springs area, and once the user makes a selection, the reservation process will be completed automatically. If the user gets lost during the trip, the device will provide real-time navigation and guide them to the shortest route to the hot springs. After the trip, the user can fill out a feedback form in the system, and that information will be reflected in future travel plans.

[0427] In this way, the present invention is a system that improves the user experience by personalizing each user's individual travel experience and providing consistent support at each stage of the journey.

[0428] The processing flow will be explained below.

[0429] Step 1:

[0430] A user visits the TravelWhiz Explorer website or app and opens the registration screen.

[0431] Step 2:

[0432] The user enters basic information and travel preferences, such as name, contact information, preferred travel style (relaxation, adventure, cultural experience, etc.), budget range, and past travel history, and submits.

[0433] Step 3:

[0434] The server receives the submitted basic information and travel preferences and stores them in a database to create a profile of the user.

[0435] Step 4:

[0436] Based on the user's profile information, the server uses an AI algorithm to select the most suitable destination candidates, taking into account factors such as weather, season, scenic spots, and historical data.

[0437] Step 5:

[0438] The server sends the selected destination candidates to the device, which then displays them to the user. Each destination includes a brief description, key attractions, and photos.

[0439] Step 6:

[0440] The user selects a destination from the proposed destination candidates.

[0441] Step 7:

[0442] Based on the selected destination, the server suggests activities (such as sightseeing visits, adventure tours, restaurant reservations, etc.) that match the user's travel style and budget.

[0443] Step 8:

[0444] The user selects an activity that interests them from the presented activities and submits a reservation request.

[0445] Step 9:

[0446] The server receives the user's reservation request, coordinates with the service provider of each activity, and performs the reservation procedure on the user's behalf. Once the reservation is completed, confirmation information is sent to the terminal.

[0447] Step 10:

[0448] Once the journey begins, the device provides real-time assistance to the user, for example, using GPS to navigate from the current location to the destination if the user gets lost.

[0449] Step 11:

[0450] After the trip is over, the server sends an email or a notification to the user, asking for their satisfaction with the entire trip and a rating for each activity.

[0451] Step 12:

[0452] The user fills out and submits the feedback form.

[0453] Step 13:

[0454] The server analyzes the collected feedback and stores it in a database, which is used to customize your next travel plan and improve the system.

[0455] Example 1

[0456] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0457] Conventional travel planning systems make it difficult for users to find the best destinations and activities for their trips, and lack real-time support during the trip. They also lack the ability to collect post-trip feedback and customize the next trip plan based on that feedback, hindering an improved user experience.

[0458] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0459] In this invention, the server includes means for a user to input basic information and travel preferences, means for selecting destination candidates based on the basic information and travel preferences, means for suggesting the destination candidates to the user, means for suggesting and booking activities based on the destinations, means for supporting the user in real time during the trip, and means for collecting feedback after the trip, thereby enabling the user to easily find an optimal travel plan tailored to their preferences, receive real-time support during the trip, and provide feedback after the trip to further improve their experience next time.

[0460] A "User" is an individual who utilizes the system to create a travel plan and provide support and feedback during the trip.

[0461] "Basic Information" is personal data such as the user's name, contact information, travel preferences and budget.

[0462] "Travel preferences" are specific conditions such as the style and purpose of a user's travel, such as relaxation, adventure, or cultural experience.

[0463] "Destination candidates" are travel destination options suggested based on the user's basic information and travel preferences.

[0464] "Activities" are specific activities and experiences that take place during a trip, such as visiting tourist attractions at a destination, taking an adventure tour, or booking a restaurant.

[0465] "Reservation Method" means a method for reserving a User's selected activity through a formal procedure, which may be performed using the application programming interface of a third-party reservation system.

[0466] "Real-time support" refers to assistance that provides users with the information, directions, emergency contact information, and other information they need while traveling based on their current situation.

[0467] "Feedback" refers to opinions, impressions, and evaluations of each activity that users provide to the system after completing their trip.

[0468] "Artificial intelligence algorithms" are advanced computational techniques used to analyze data and select optimal destination candidates based on a user's basic information and travel preferences.

[0469] The present invention relates to a system that allows users to input basic information and travel preferences, and provides optimal travel plans and real-time support based on that information. The program of this system operates while interacting with the user, server, and terminal.

[0470] First, a user accesses the system using a web interface or application provided via the Internet. When accessing, the user enters basic information (such as name, contact information, and past travel history) and travel preferences (e.g., travel style, budget range, etc.). This information is then stored by the server in a database (e.g., MySQL or PostgreSQL) to generate an individual profile for the user.

[0471] The server then uses AI algorithms (such as TensorFlow or PyTorch) based on the stored user information to select the most suitable destination candidates, taking into account factors such as season, weather, beautiful tourist spots, and past data. These selected destination candidates are then suggested to the user via their device. The suggested candidates include information such as a brief description of each destination, its main attractions, and photos.

[0472] Furthermore, the server suggests activities (such as sightseeing, adventure tours, and restaurant reservations) that match the user's preferences based on the selected destination information. When the user selects an activity that interests them from the suggested activities, the server uses the API of a third-party reservation system (e.g., the API of Booking.com or OpenTable) to process the reservation on their behalf. Once the reservation is confirmed, information indicating that the reservation is complete is sent to the terminal.

[0473] If a user needs real-time support while traveling, for example if they get lost, the device will use GPS to send their current location information to the server. The server will then use this information to calculate the optimal route using a map service (e.g., Google Maps) and send that route information to the device, allowing the user to reach their destination smoothly. Other information such as detailed tourist information and emergency contact details will also be provided.

[0474] After the trip is over, the server sends the user a feedback request email or app notification, asking them to rate their trip satisfaction and each activity. When the user enters and submits their feedback, the information is stored in a database and used for analysis. This allows for future travel plan customization and system improvements.

[0475] Specific examples

[0476] For example, if a travel-loving individual (user) uses this system to plan a weekend trip, the user first accesses the system and enters basic information and travel preferences to create a profile. Next, the server uses this information to suggest potential destinations suitable for a weekend trip (such as hot springs or natural parks). If the user selects a hot spring, the server will suggest hiking trails and local restaurants in the hot springs area, and once the user makes a selection, the reservation process will be completed automatically. If the user gets lost during the trip, the device will provide real-time navigation and guide them to the shortest route to the hot springs. After the trip, the user can fill out a feedback form in the system, and that information will be reflected in future travel plans.

[0477] Prompt Sentence Examples

[0478] "I'm planning a trip with an emphasis on cultural experiences. My budget is under ¥100,000 and I'm looking for a relaxing place. I've been to Europe before. Can you recommend some destinations and activities?"

[0479] By inputting this prompt into a generative AI model, the system described above can suggest optimal travel destinations and activities, helping to personalize the user's travel experience.

[0480] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0481] Step 1: Register and set up your profile

[0482] A user accesses a web interface or application provided via the Internet. The user enters basic information (such as name, contact information, and past travel history) and travel preferences (such as travel style and budget range). The server receives this input data and stores it in a database. Specifically, when the user presses the "Submit" button, the server processes the data, stores it securely in a database, and generates a user profile. The input is the user's basic information and travel preferences, and the output is storage in a database and generation of a user profile.

[0483] Step 2: Select a destination

[0484] The server retrieves the user's basic information and travel preferences from a database. Next, the server uses an AI algorithm (e.g., TensorFlow or PyTorch) to select the most suitable destination candidates, taking into account factors such as season, weather, beautiful tourist spots, and past data. Specifically, the AI ​​model scores destinations based on the user's preferences and suggests the top selected destination candidates to the user. The input is the user's basic information and travel preferences, and the output is the selected destination candidates.

[0485] Step 3: Propose potential destinations

[0486] The server sends the selected destination candidates to the user's device. The user can then view a brief description of each destination candidate, information about tourist attractions, and photos on their device. Specifically, the server sends data to the device in HTML or JSON format, which the user can view using an application that displays the data. The input is the selected destination candidates, and the output is the destination information displayed on the user's device.

[0487] Step 4: Suggest and book an activity

[0488] The server suggests activities to the user based on the destination information. The user selects the activity that interests them from the suggested activities. The server then handles the reservation process on their behalf using the API of a third-party reservation system (for example, the API of Booking.com or OpenTable). Specifically, the server sends an API request, and once the reservation is completed, it saves the information in a database and notifies the user's device. The input is the activity selected by the user, and the output is reservation completion information.

[0489] Step 5: Real-time support during your trip

[0490] When a user requests real-time support while traveling, they use GPS to send their current location information from their device to a server. The server uses this information to calculate the optimal route using a map service (e.g., Google Maps) and sends the route information to the device. Specifically, when a user gets lost, they send a request from their device, and the server provides navigation information in real time. The input is the user's current location information, and the output is navigation information.

[0491] Step 6: Collect post-trip feedback

[0492] After the trip is over, the server sends the user an email or app notification requesting feedback. The user fills in a feedback form with their satisfaction with the trip and ratings for each activity and submits it. The server stores this data in a database and uses it to customize the next trip plan and improve the system. Specifically, the server sends the feedback form, and the user fills it out and submits it, saving the data. The input is the user's feedback, and the output is the rating information stored in the database.

[0493] (Application example 1)

[0494] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0495] Conventional travel planning systems only provide simple suggestions based on a user's basic information and travel preferences, which means they are unable to provide the travel experience that each user truly desires. They also lack real-time navigation support and the ability to incorporate post-trip feedback into future travel plans. Therefore, to improve user satisfaction, a more personalized experience and real-time support are needed.

[0496] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0497] In this invention, the server includes a means for a user to input basic information and travel preferences, a means for selecting candidate destinations based on the basic information and travel preferences, and a means for analyzing the user's profile using a generative AI model, thereby enabling the server to propose an optimal travel plan for each user.

[0498] Furthermore, the server includes means for being installed in the infotainment system, means for a user to input basic information and travel preferences using voice recognition or a touch screen, means for providing navigation during the trip using GPS, and means for providing support during the trip using the generative AI model, thereby enabling real-time support during the trip and improving the user experience.

[0499] The server also includes a means for collecting post-trip feedback and a means for customizing the next trip plan based on the feedback using the generative AI model, thereby enabling continuous improvement of user satisfaction and subsequent service quality.

[0500] "Basic information" is a general term for personal data about a user, such as their name, contact information, and past travel history.

[0501] "Travel preferences" refers to information such as a user's preferred travel style, budget range, specific activities, and themes of interest.

[0502] "Destination candidates" are potential travel destinations selected by an AI algorithm based on the user's basic information and travel preferences.

[0503] "Activities" refer to specific actions or events that users can participate in during their trip, such as visiting tourist attractions, adventure tours, or restaurant reservations.

[0504] "Real-time support" refers to assistance such as navigation and emergency contact that is provided to users immediately during their trip.

[0505] "Feedback" refers to data collected from users after the trip is completed, regarding their satisfaction with the trip and their evaluation of each activity.

[0506] An "infotainment system" is a system installed in an autonomous vehicle that provides information and entertainment functions.

[0507] "Speech recognition" is the technology that identifies a user's voice input and converts it into text or commands.

[0508] A "touch screen" is a display device that allows a user to input information or perform operations by touching the screen.

[0509] "GPS" is a global positioning system that measures positions on Earth with high precision.

[0510] A "generative AI model" is an artificial intelligence algorithm that analyzes data based on user profiles and feedback to provide optimal travel plans and support.

[0511] This invention is a system that allows users to input basic information and travel preferences, and provides optimal travel plans and real-time support based on that information. This system operates through interaction between the user, server, and terminal. Each function of the system is described in detail below.

[0512] User registration and profile settings

[0513] Users use the autonomous vehicle's infotainment system to input their basic information and travel preferences. The device is equipped with a touchscreen and a voice recognition system, and users input information using these means. For example, a user might provide information by voice, such as, "My name is Taro Tanaka. I'd like to take a relaxing trip within 100,000 yen."

[0514] Destination Selection

[0515] The server uses a generative AI model to select the best possible destinations based on the user's basic information and travel preferences. The AI ​​model analyzes the user's profile and takes into account factors such as season, weather, scenic spots, and historical data. The selected destinations are then displayed on the device's screen.

[0516] Activity suggestions and bookings

[0517] Based on the selected destination information, the server suggests activities tailored to the user's preferences. Examples include visiting tourist spots, adventure tours, and restaurant reservations. The user selects the activities that interest them using voice or the touchscreen. After selection, the server handles the reservation procedure for each activity and notifies the terminal of the reservation completion confirmation.

[0518] Real-time support during your trip

[0519] While traveling, the device uses GPS to provide navigation from the current location to the destination, and if the user gets lost, it will provide real-time guidance on the optimal route. It also provides detailed information on tourist attractions and local emergency contacts.

[0520] Post-trip feedback collection

[0521] After the trip is completed, the server sends a notification to the user prompting them to provide feedback. The user can input the feedback by voice or touchscreen. The server analyzes the feedback and uses a generative AI model to customize the next trip plan and improve the system.

[0522] Hardware and software used

[0523] Hardware:

[0524] Autonomous vehicle infotainment systems (touchscreens, speakers, microphones, GPS systems)

[0525] software:

[0526] Database management system (e.g. MySQL)

[0527] Server-side programs (e.g., Node.js)

[0528] Mobile applications (e.g. React Native or Swift)

[0529] Speech recognition systems (e.g., Google Cloud Speech-to-Text)

[0530] A generative AI model (e.g., GPT-3 or GPT-4)

[0531] Specific examples

[0532] For example, a user planning a trip to Hokkaido might enter a prompt such as, "My name is Taro Tanaka. I'd like a relaxing trip with a budget of less than 100,000 yen." The generative AI model then suggests Hakodate City as the optimal destination and offers a plan that includes beautiful night views and hot spring inns. During the trip, GPS provides real-time navigation from the user's current location, and after the trip, feedback is collected and reflected in the next plan.

[0533] In this way, the system of the present invention enhances the user experience by personalizing each user's individual travel experience and providing consistent support at every stage of the journey.

[0534] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0535] Step 1:

[0536] The user enters basic information and travel preferences.

[0537] Input: The user uses the infotainment system's touchscreen or voice recognition to enter basic information such as name, contact information, travel style, budget, and past travel history.

[0538] Processing: The terminal accepts the entered information and stores it in the initial format.

[0539] Output: Basic information and travel preference data is sent to the server.

[0540] Step 2:

[0541] The server selects potential destinations using a generative AI model based on the user's basic information and travel preferences.

[0542] Input: The server receives basic information and travel preference data.

[0543] Processing: A generative AI model analyzes the user's profile and selects the best possible destinations, taking into account factors such as season, weather, and tourist attractions.

[0544] Output: Destination candidate data is generated and sent to the terminal.

[0545] Step 3:

[0546] The terminal proposes destination candidates to the user.

[0547] Input: Destination candidate data sent from the server.

[0548] Processing: The device displays potential destinations on the screen, along with brief descriptions and photos. Voice reading is also possible.

[0549] Output: The user is presented with the best possible destinations both visually and audibly.

[0550] Step 4:

[0551] The user selects one of the suggested destinations.

[0552] Input: Select your destination using the display or voice input.

[0553] Processing: The terminal records the selected destination information and sends it to the server.

[0554] Output: The selected destination information is sent to the server.

[0555] Step 5:

[0556] The server suggests activities based on the selected destination and handles the booking process.

[0557] Input: Selected destination information.

[0558] Processing: The generative AI model selects activities relevant to the destination and suggests them based on the user's preferences. The server contacts the booking service and books the activities based on the user's selection.

[0559] Output: Activity reservation completion information is sent to the terminal.

[0560] Step 6:

[0561] The device provides real-time support during the journey.

[0562] Input: User's current location data (from GPS).

[0563] Processing: The device uses the GPS system to obtain the current location and uses generative AI models to generate optimal navigation information, as well as tourist attractions and emergency contact information.

[0564] Output: Real-time navigation and support information is provided to the user.

[0565] Step 7:

[0566] The server collects feedback after the trip and uses it to customize your next travel plan.

[0567] Input: Feedback data (provided by user after trip).

[0568] Processing: The server analyzes the feedback and uses a generative AI model to customize your next trip plan. The system also improves based on the feedback.

[0569] Output: Customized next trip plan and system improvement information.

[0570] Through these processing steps, the present invention can individually personalize a user's travel experience and provide consistent support at every stage.

[0571] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0572] The present invention relates to a system that recognizes a user's emotional state in addition to basic information and travel preferences, and provides a customized travel plan for each step based on the user's emotional state. The program of this system operates while interacting with the user, server, terminal, and emotion engine as follows:

[0573] User registration and profile settings

[0574] When a user first visits the TravelWhiz Explorer website or application, the server prompts the user to enter basic information and travel preferences, including name, contact information, preferred travel style (e.g., relaxation, adventure, cultural experiences, etc.), budget, past travel history, etc. This information is stored by the server in a database to create a personalized profile for the user.

[0575] Destination Selection

[0576] The server uses an AI algorithm to select the most suitable destination candidates based on the user's basic information and travel preferences. Candidates are selected based on many factors, including weather, season, tourist attractions, and past data. The results are presented to the user via their device, allowing them to view detailed information about each candidate (descriptions, tourist attractions, photos, etc.).

[0577] The role of the emotional engine

[0578] The emotion engine analyzes user input and sensor data (e.g., facial recognition, voice tone analysis) to determine the user's emotional state, which is used to further personalize the travel plan. For example, if the user is feeling stressed, the emotion engine will suggest more relaxing activities.

[0579] Activity suggestions and bookings

[0580] The server then suggests activities that reflect the user's emotional state based on the selected destination. For example, if the emotion engine determines that the user is looking for relaxation, the server will prioritize activities such as spas, hot springs, and quiet tourist spots. Once the user selects an activity, the server handles the reservation process and sends confirmation information to the device.

[0581] Real-time support during your trip

[0582] Once the trip begins, the device provides real-time support to the user. The device uses GPS to track the user's location and provides navigation and emergency contact information as needed. The emotion engine also monitors the user's emotional state during the trip. If signs of anxiety or stress are detected, the server can take action to provide appropriate support.

[0583] Post-trip feedback collection

[0584] After the trip is over, the server will send a notification to the user requesting feedback. The user can provide feedback on their overall trip satisfaction and each activity through a feedback form, and the server will analyze this information and store it in a database, which will help further personalize their next trip plan and improve the user experience.

[0585] Specific examples

[0586] For example, suppose a user uses the system to plan a weekend trip. First, the user enters basic information and travel preferences on a registration screen. Based on this, the server suggests suitable destination candidates, and the user selects one. The emotion engine then analyzes the user's emotional state. If it recognizes that the user is tired, it suggests a relaxing activity (such as a spa or hot spring). The selected activity is booked by the server, and confirmation information is sent to the device. During the trip, the device supports the user in real time, and the emotion engine monitors the user's emotional state to provide additional support as needed. After the trip, the server collects feedback and incorporates it into the next travel plan.

[0587] Thus, the present invention is a system that provides a more personalized travel experience by taking into account the user's emotional state in addition to basic information and travel preferences.

[0588] The processing flow will be explained below.

[0589] Step 1:

[0590] A user visits the TravelWhiz Explorer website or app and opens the registration screen.

[0591] Step 2:

[0592] The user enters basic information such as name, contact information, travel preferences (relaxation, adventure, cultural experiences, etc.), budget range, and past travel history and submits.

[0593] Step 3:

[0594] The server receives the submitted basic information and travel preferences and stores them in a database to create a profile of the user.

[0595] Step 4:

[0596] Based on the user's profile information, the server uses an AI algorithm to select multiple possible destinations, taking into account factors such as weather, season, scenic spots, and historical data.

[0597] Step 5:

[0598] The server sends the selected destination candidates to the device, which then displays them to the user. Each destination includes a brief description, key attractions, and photos.

[0599] Step 6:

[0600] The user selects a destination from the proposed destination candidates.

[0601] Step 7:

[0602] Based on the selected destination, the server suggests activities (such as sightseeing visits, adventure tours, restaurant reservations, etc.) that match the user's travel style and budget.

[0603] Step 8:

[0604] The emotion engine analyzes user input and sensor data (such as facial recognition and voice tone analysis) to determine the user's emotional state.

[0605] Step 9:

[0606] The server uses data from the emotion engine to prioritize and suggest activities that correspond to the user's emotional state. For example, if the emotion engine determines that the user is tired, it will prioritize and suggest relaxing activities (e.g., spas, hot springs).

[0607] Step 10:

[0608] The user selects an activity that interests them from the presented activities and submits a reservation request.

[0609] Step 11:

[0610] The server receives the user's reservation request, works with the activity service provider to complete the reservation procedure, and sends confirmation information to the terminal once the reservation is complete.

[0611] Step 12:

[0612] Once the journey begins, the device provides real-time support to the user, using GPS to navigate from the current location to the destination.

[0613] Step 13:

[0614] The emotion engine monitors the user's emotional state during the trip, and if it detects signs of anxiety or stress, the server will take action, such as re-suggesting relaxing activities or providing emergency support.

[0615] Step 14:

[0616] After the trip is over, the server sends the user an email or a notification requesting their satisfaction with the entire trip and a rating for each activity.

[0617] Step 15:

[0618] The user fills out and submits the feedback form.

[0619] Step 16:

[0620] The server analyzes the collected feedback and stores it in a database, which is used to customize your next travel plan and improve the system.

[0621] Example 2

[0622] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0623] Conventional travel planning systems provide travel plans based on a user's basic information and travel preferences, but lack personalization that takes into account the user's emotional state. As a result, it is difficult to provide flexible travel plans that respond to the user's changing emotional state in real time, and it has been difficult to improve satisfaction during the trip.

[0624] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0625] In this invention, the server includes means for a user to input basic information and travel preferences, means for selecting candidate destinations based on the basic information and travel preferences, means for suggesting the candidate destinations to the user, means for suggesting and booking activities based on the destinations, means for supporting the user in real time during the trip, means for collecting feedback after the trip, means for recognizing and analyzing emotional states, and means for customizing activities based on the emotional states, thereby making it possible to provide a flexible travel plan that corresponds to the user's emotional states and improve satisfaction during the trip.

[0626] 1. "Means for users to input basic information and travel preferences" refers to the interface through which users input information into the system, such as their name, contact information, preferred travel style, budget, and past travel history.

[0627] 2. "Basic Information" refers to personally identifiable information such as a user's name, contact information, and date of birth.

[0628] 3. "Travel preferences" refers to information such as the user's preferred travel style, purpose, budget, and past travel history.

[0629] 4. "Means for selecting potential destinations" refers to the AI ​​algorithms and analytical engines that select optimal travel destinations based on the user's basic information and travel preferences.

[0630] 5. "AI algorithm" refers to artificial intelligence technology that analyzes large amounts of data and learns patterns to derive optimal results.

[0631] 6. "Means for suggesting destination candidates to the user" refers to an interface that presents information about selected destinations to the user and prompts them to make a selection.

[0632] 7. "Activity suggestion and booking mechanism" refers to a system that further customizes a user's travel plans based on selected destinations and makes reservations on their behalf.

[0633] 8. "Means of providing real-time support to users while traveling" refers to functions that provide necessary information and support according to the user's current location and situation while traveling.

[0634] 9. "Means for collecting feedback" refers to the procedures for collecting opinions from users after the trip, such as satisfaction and areas for improvement.

[0635] 10. "Means for recognizing and analyzing emotional state" means a system for determining a user's current emotional state, such as by using facial recognition or voice analysis of the user.

[0636] 11. "Means for customizing activities based on emotional state" refers to a mechanism for selecting and suggesting optimal activities based on the user's emotional state.

[0637] The present invention is a system that recognizes a user's emotional state in addition to basic information and travel preferences, and provides a customized travel plan at each step. This system operates in cooperation with each element: server, terminal, user, and emotion engine.

[0638] Hardware and software used

[0639] Hardware: Internet-connected devices (PCs, smartphones, tablets)

[0640] Software: websites or mobile applications, facial recognition software, voice tone analysis software, AI algorithms (e.g., TensorFlow, PyTorch)

[0641] User registration and profile settings

[0642] When a user first accesses the system, the server prompts the user to enter basic information and travel preferences, including name, contact information, travel style (relaxed, adventurous, cultural, etc.), budget, and past travel history. This information is then stored in a database by the server, creating a personalized profile.

[0643] Destination Selection

[0644] The server uses AI algorithms to select the best possible destinations based on the user's basic information and travel preferences. Candidate locations are selected taking into account factors such as weather, season, tourist attractions, and past data. The results are then presented to the user via their device.

[0645] Emotional state analysis using emotion engine

[0646] The emotion engine analyzes user input data and sensor data (e.g., facial recognition, voice tone analysis) to determine the user's emotional state. For example, if stress is detected, it will suggest relaxing activities. The analysis results are sent to the server.

[0647] Activity suggestions and bookings

[0648] The server then suggests the most suitable activity based on the selected destination and the user's emotional state. Once the user selects a suggested activity, the server handles the reservation process and sends confirmation information to the terminal.

[0649] Real-time support during your trip

[0650] Once the trip begins, the device tracks the user's current location via GPS and provides navigation and emergency contact information as needed. The emotion engine also monitors the user's emotional state in real time, and if stress or anxiety is detected, the server provides appropriate support.

[0651] Post-trip feedback collection

[0652] After the trip, the server sends a feedback request to the user. When the user enters their satisfaction with the trip and their evaluation of each activity in the feedback form, the server collects the data and uses it to plan their next trip.

[0653] Specific examples

[0654] For example, when a user plans a weekend trip, they first enter their basic information and travel preferences. The server then suggests potential destinations based on this information, and the user selects one. The emotion engine then analyzes the user's emotional state and suggests a spa or hot spring if it determines that relaxation is needed. Once the reservation is complete, confirmation information is sent to the device. During the trip, the device provides real-time support and navigation as needed. After the trip is over, the server collects feedback and incorporates it into the next trip.

[0655] Prompt Sentence Examples

[0656] 1. Register your basic information (name, contact information, etc.) and travel preferences (e.g., relaxation, adventure, etc.).

[0657] 2. Based on your registration information, we will suggest the best travel destinations for you.

[0658] 3. Analyze your current emotional state and suggest travel activities based on the results.

[0659] 4. If you select a proposed activity, please book it on your behalf and provide your confirmation information.

[0660] The above is an embodiment of the present invention.

[0661] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0662] Step 1: Register and set up your profile

[0663] A user visits a website or application and enters basic information (such as name, contact information, and date of birth) and travel preferences (such as relaxation, adventure, or cultural experiences).

[0664] Input: User's basic information and travel preferences

[0665] Action: Enter data into the form and click the submit button.

[0666] The server receives this and stores it in a database.

[0667] Output: An individual profile for the user is created in the database.

[0668] Step 2: Select a destination

[0669] The server uses AI algorithms to select the best possible destinations based on the user's basic information and travel preferences.

[0670] Input: User's basic information, travel preferences

[0671] How it works: Retrieves user information from a database and analyzes it using AI algorithms (e.g., TensorFlow, PyTorch), taking into account weather, seasons, tourist attractions, historical data, etc.

[0672] Output: Generate a list of optimal destination candidates and send it to the device.

[0673] Step 3: Propose potential destinations

[0674] The terminal presents the destination candidates received from the server to the user.

[0675] Input: A list of destination candidates sent from the server

[0676] What it does: Displays detailed information (description, attractions, photos) about a potential destination in a user interface.

[0677] Output: The user reviews the destination options and makes a selection.

[0678] Step 4: Analyze emotional state

[0679] The emotion engine analyzes user input data and sensor data (e.g., facial recognition, voice tone analysis) to determine the current emotional state.

[0680] Input: User's face image data, voice data

[0681] What it does: Analyzes emotional state using facial recognition and tone analysis software.

[0682] Output: Send emotional state data (e.g., stressed, relaxed, excited, etc.) to the server.

[0683] Step 5: Suggest and book an activity

[0684] The server suggests activities to the user based on the emotional state data and the selected destination. Once the user selects an activity, the server handles the booking process and sends confirmation to the terminal.

[0685] Input: Emotional state data, selected destination

[0686] Action: Based on this, an activity list is generated and presented to the user. The activities selected by the user are sent to the booking system and the booking is confirmed.

[0687] Output: Reservation confirmation information is sent to the terminal.

[0688] Step 6: Real-time support during your trip

[0689] Once the trip begins, the device will track the user's current location via GPS and provide navigation and emergency contact information as needed. The emotion engine will also monitor the user's emotional state in real time, and if stress or anxiety is detected, the server will provide appropriate support.

[0690] Input: User's GPS data, emotional state data

[0691] What it does: Receives GPS data to track your location, provides navigation instructions and emergency contact information when needed, and monitors your emotional state in real time.

[0692] Output: Navigation information, support information if anxiety or stress is detected.

[0693] Step 7: Collect post-trip feedback

[0694] After the trip, the server sends a feedback request to the user, who provides feedback on their satisfaction with the trip and their ratings for each activity. The server then collects this data and uses it to plan their next trip.

[0695] Input: User feedback data (satisfaction, activity rating)

[0696] What it does: Sends a feedback form to the user, stores their responses in a database and analyzes them.

[0697] Output: Improved future trip planning based on feedback data.

[0698] (Application example 2)

[0699] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0700] Current shopping assistant systems suggest products without considering the user's emotional state, which can result in products that do not match the user's mood or emotions. This can make it difficult to stimulate the user's purchasing motivation and can reduce satisfaction. There is a need to solve this problem and provide more personalized product suggestions based on the user's emotional state.

[0701] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for a user to input basic information and travel preferences, means for selecting destination candidates based on the basic information and travel preferences, means for suggesting the destination candidates to the user, means for suggesting and booking activities based on the destinations, means for supporting the user in real time during the trip, means for collecting feedback after the trip, and means for recognizing the user's emotional state and suggesting personalized products and services based on the recognition. This makes it possible to provide products and services that are optimal for the user's emotional state.

[0702] A "user" is an entity that uses the system and is an individual or organization that inputs basic information and travel preferences.

[0703] "Basic Information" is basic data about the user, such as the user's name, contact information, travel preferences, budget, and past travel history.

[0704] "Travel preferences" is information about the style and activities that the user prefers when traveling, such as relaxation, adventure, or cultural experiences.

[0705] "Destination candidates" are travel destination candidates selected by the server based on the user's basic information and travel preferences.

[0706] "Activities" refer to events and experiences that users can participate in at their travel destination, and can range from sightseeing, sports, and relaxation.

[0707] "Emotional state" refers to the user's current mood or psychological state, and is information determined by methods such as facial recognition or voice tone analysis.

[0708] "Personalization" is the process of optimizing the services and products offered based on a user's individual attributes and preferences.

[0709] "Real-time support" is a function that provides immediate assistance and information in response to various situations that users may encounter while traveling.

[0710] "Feedback" refers to information provided by a user after completing a trip, such as satisfaction with the entire trip and evaluation of each activity.

[0711] An "emotion recognition engine" is a technology that evaluates a user's emotional state using methods such as facial recognition and voice tone analysis, and feeds the results back to the system.

[0712] The present invention is a system that recognizes a user's emotional state in addition to their basic information and travel preferences, and provides customized travel plans and shopping suggestions at each step based on that.

[0713] System configuration

[0714] This system operates through interaction between the server, the terminal, and the emotion recognition engine. Specifically, it uses the following hardware and software:

[0715] Server: Manages the database, runs AI algorithms, generates travel plans and product recommendations.

[0716] Terminal: A smartphone or smart glasses is used as the user interface, and information is exchanged between the user and the server.

[0717] Emotion Recognition Engine: Recognizes the user's emotional state using facial recognition libraries such as DeepFace and voice tone analysis software.

[0718] User registration and profile settings

[0719] When a user first accesses a website or application, the server prompts the user to enter basic information and travel preferences, which then stores information such as name, contact information, preferred travel style, budget, and past travel history in a database to create a personalized profile for the user.

[0720] Destination selection and proposal

[0721] The server uses an AI algorithm to select the most suitable destination candidates based on the user's basic information and travel preferences. These candidates are selected based on many factors, including weather, season, tourist attractions, and past data. The results are presented to the user via their device, and the user can view detailed information about each candidate.

[0722] Emotion engine determines emotional state

[0723] The emotion recognition engine analyzes user input and sensor data (e.g., facial recognition, voice tone analysis) to determine the user's emotional state. For example, if the user is feeling stressed, the emotion recognition engine can suggest more relaxing activities or products.

[0724] Activity suggestions and bookings

[0725] The server then suggests activities that reflect the user's emotional state based on the selected destination, reserves the selected activity, and sends confirmation information to the device.

[0726] Real-time support during your trip

[0727] Once the trip begins, the device provides real-time support to the user. The device uses GPS to track the user's current location and provides navigation and emergency contact information. An emotion recognition engine also monitors the user's emotional state during the trip, and if signs of stress are detected, the server will provide appropriate support.

[0728] Post-trip feedback collection

[0729] After the trip is over, the server will send a notification to the user requesting feedback. The user can provide feedback through a feedback form to rate their overall trip satisfaction and each activity. The server will then analyze this information and store the data in a database, which will help further personalize their next trip and improve the user experience.

[0730] Examples of shopping suggestions

[0731] For example, when a user visits a supermarket, a smartphone camera performs facial recognition and an emotion recognition engine determines the user's emotional state. If the user is feeling stressed, the server will suggest relaxing goods and foods. If the user is feeling happy, the server will suggest entertainment products.

[0732] Example prompt sentence:

[0733] "When users feel stressed, we suggest relaxation products."

[0734] "When users feel happy, we suggest entertainment products."

[0735] In this way, the present invention provides a more personalized travel and shopping experience by taking into account the user's emotional state.

[0736] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0737] Step 1:

[0738] The user enters basic information and travel preferences.

[0739] Input: Name, contact information, travel preferences (relaxation, adventure, cultural experiences, etc.), budget, and past travel history.

[0740] Process: The user uses a device (smartphone or smart glasses) to enter basic information and travel preferences, which are then sent to the server.

[0741] Output: The server creates and stores the user's individual profile in a database.

[0742] Step 2:

[0743] The server selects destination candidates.

[0744] Input: User's basic information and travel preferences.

[0745] Processing: The server uses AI algorithms to calculate the best possible destinations based on many factors, including weather, season, tourist attractions, and historical data.

[0746] Output: Generate a list of selected destination candidates and send it to the device.

[0747] Step 3:

[0748] The server suggests destination candidates to the user.

[0749] Input: A list of potential destinations.

[0750] Processing: The server presents detailed information about the destination candidates (descriptions, tourist spots, photos, etc.) to the user via the terminal.

[0751] Output: The device displays detailed information about the potential destination to the user.

[0752] Step 4:

[0753] An emotion recognition engine determines the user's emotional state.

[0754] Input: User's facial photo and voice data.

[0755] Processing: The emotion recognition engine analyzes the emotional state using the DeepFace library and voice tone analysis software.

[0756] Output: Determine the user's current emotional state (e.g., stress, happiness) and send it to the server.

[0757] Step 5:

[0758] The server proposes and schedules activities.

[0759] Input: User's emotional state, selected destination.

[0760] Processing: The server selects and prioritizes activities that reflect the user's emotional state, reserves the selected activity, and generates a confirmation.

[0761] Output: Sends reservation confirmation information to the terminal.

[0762] Step 6:

[0763] The device provides real-time support during the journey.

[0764] Input: User's current location, booked activity, user's emotional state.

[0765] Processing: The device uses GPS to track the user's location and provides navigation and emergency contact information as needed. The emotion recognition engine monitors the user's emotional state, and the server provides appropriate support.

[0766] Output: Display real-time navigation information and support messages to the user.

[0767] Step 7:

[0768] The server collects post-trip feedback.

[0769] Inputs: Satisfaction and ratings for each activity entered into the feedback form.

[0770] Processing: The server collects the feedback information and stores it in a database. It then analyzes the data to help plan your next trip.

[0771] Output: Analyze the feedback data and use it to plan your next trip.

[0772] Through these steps, the present invention provides personalized travel experiences and shopping suggestions that take into account the user's emotional state.

[0773] 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 a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0774] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0775] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0776] [Third embodiment]

[0777] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0778] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0779] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0780] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0781] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0782] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0783] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0784] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0785] The specific processing program 56 is an example of a "program" according to the technology of the present 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.

[0786] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0787] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0788] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. 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."

[0789] The present invention relates to a system that allows users to input basic information and travel preferences, and provides optimal travel plans and real-time support based on that information. The program of this system operates through interaction between the user, server, and terminal as follows:

[0790] User registration and profile settings

[0791] When a user first visits the TravelWhiz Explorer website or application, the server prompts the user for basic information and travel preferences, including name, contact information, preferred travel style (e.g., relaxation, adventure, cultural experiences, etc.), budget range, and past travel history. The server stores this information in a database to create a personalized profile for the user.

[0792] Destination Selection

[0793] The server uses an AI algorithm to select the most suitable destination candidates based on the user's saved basic information and travel preferences. These candidates also take into account factors such as season, weather, beautiful tourist spots, and past data. The selected destination candidates are then presented to the user via their device. Users can then view a brief description of each candidate, its main attractions, and photos.

[0794] Activity suggestions and bookings

[0795] Based on the selected destination information, the server suggests activities that match the user's preferences. Activities include visiting tourist spots, adventure tours, and restaurant reservations. The user selects the activities that interest them from the suggested activities. After selection, the server handles the reservation procedure for each activity and notifies the terminal of the reservation completion confirmation.

[0796] Real-time support during your trip

[0797] During the trip, the device will provide real-time support to the user. For example, if the user gets lost, the device will use GPS to navigate from the current location to the destination. In addition, it will provide detailed information about tourist spots and local emergency contacts as needed.

[0798] Post-trip feedback collection

[0799] After the trip is over, the server will send the user an email or a notification, asking them to rate their trip satisfaction and each activity. The server will analyze the feedback provided by the user and use it to customize the next trip plan and improve the system, thereby further improving the user's future travel experience.

[0800] Specific examples

[0801] For example, if a travel-loving individual (user) uses this system to plan a weekend trip, the user first accesses the system and enters basic information and travel preferences to create a profile. Next, the server uses this information to suggest potential destinations suitable for a weekend trip (such as hot springs or natural parks). If the user selects a hot spring from the list, the server will suggest hiking trails and local restaurants in the hot springs area, and once the user makes a selection, the reservation process will be completed automatically. If the user gets lost during the trip, the device will provide real-time navigation and guide them to the shortest route to the hot springs. After the trip, the user can fill out a feedback form in the system, and that information will be reflected in future travel plans.

[0802] In this way, the present invention is a system that improves the user experience by personalizing each user's individual travel experience and providing consistent support at each stage of the journey.

[0803] The processing flow will be explained below.

[0804] Step 1:

[0805] A user visits the TravelWhiz Explorer website or app and opens the registration screen.

[0806] Step 2:

[0807] The user enters basic information and travel preferences, such as name, contact information, preferred travel style (relaxation, adventure, cultural experience, etc.), budget range, and past travel history, and submits.

[0808] Step 3:

[0809] The server receives the submitted basic information and travel preferences and stores them in a database to create a profile of the user.

[0810] Step 4:

[0811] Based on the user's profile information, the server uses an AI algorithm to select the most suitable destination candidates, taking into account factors such as weather, season, scenic spots, and historical data.

[0812] Step 5:

[0813] The server sends the selected destination candidates to the device, which then displays them to the user. Each destination includes a brief description, key attractions, and photos.

[0814] Step 6:

[0815] The user selects a destination from the proposed destination candidates.

[0816] Step 7:

[0817] Based on the selected destination, the server suggests activities (such as sightseeing visits, adventure tours, restaurant reservations, etc.) that match the user's travel style and budget.

[0818] Step 8:

[0819] The user selects an activity that interests them from the presented activities and submits a reservation request.

[0820] Step 9:

[0821] The server receives the user's reservation request, coordinates with the service provider of each activity, and performs the reservation procedure on the user's behalf. Once the reservation is completed, confirmation information is sent to the terminal.

[0822] Step 10:

[0823] Once the journey begins, the device provides real-time assistance to the user, for example, using GPS to navigate from the current location to the destination if the user gets lost.

[0824] Step 11:

[0825] After the trip is over, the server sends an email or a notification to the user, asking for their satisfaction with the entire trip and a rating for each activity.

[0826] Step 12:

[0827] The user fills out and submits the feedback form.

[0828] Step 13:

[0829] The server analyzes the collected feedback and stores it in a database, which is used to customize your next travel plan and improve the system.

[0830] Example 1

[0831] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0832] Conventional travel planning systems make it difficult for users to find the best destinations and activities for their trips, and lack real-time support during the trip. They also lack the ability to collect post-trip feedback and customize the next trip plan based on that feedback, hindering an improved user experience.

[0833] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0834] In this invention, the server includes means for a user to input basic information and travel preferences, means for selecting destination candidates based on the basic information and travel preferences, means for suggesting the destination candidates to the user, means for suggesting and booking activities based on the destinations, means for supporting the user in real time during the trip, and means for collecting feedback after the trip, thereby enabling the user to easily find an optimal travel plan tailored to their preferences, receive real-time support during the trip, and provide feedback after the trip to further improve their experience next time.

[0835] A "User" is an individual who utilizes the system to create a travel plan and provide support and feedback during the trip.

[0836] "Basic Information" is personal data such as the user's name, contact information, travel preferences and budget.

[0837] "Travel preferences" are specific conditions such as the style and purpose of a user's travel, such as relaxation, adventure, or cultural experience.

[0838] "Destination candidates" are travel destination options suggested based on the user's basic information and travel preferences.

[0839] "Activities" are specific activities and experiences that take place during a trip, such as visiting tourist attractions at a destination, taking an adventure tour, or booking a restaurant.

[0840] "Reservation Method" means a method for reserving a User's selected activity through a formal procedure, which may be performed using the application programming interface of a third-party reservation system.

[0841] "Real-time support" refers to assistance that provides users with the information, directions, emergency contact information, and other information they need while traveling based on their current situation.

[0842] "Feedback" refers to opinions, impressions, and evaluations of each activity that users provide to the system after completing their trip.

[0843] "Artificial intelligence algorithms" are advanced computational techniques used to analyze data and select optimal destination candidates based on a user's basic information and travel preferences.

[0844] The present invention relates to a system that allows users to input basic information and travel preferences, and provides optimal travel plans and real-time support based on that information. The program of this system operates while interacting with the user, server, and terminal.

[0845] First, a user accesses the system using a web interface or application provided via the Internet. When accessing, the user enters basic information (such as name, contact information, and past travel history) and travel preferences (e.g., travel style, budget range, etc.). This information is then stored by the server in a database (e.g., MySQL or PostgreSQL) to generate an individual profile for the user.

[0846] The server then uses AI algorithms (such as TensorFlow or PyTorch) based on the stored user information to select the most suitable destination candidates, taking into account factors such as season, weather, beautiful tourist spots, and past data. These selected destination candidates are then suggested to the user via their device. The suggested candidates include information such as a brief description of each destination, its main attractions, and photos.

[0847] Furthermore, the server suggests activities (such as sightseeing, adventure tours, and restaurant reservations) that match the user's preferences based on the selected destination information. When the user selects an activity that interests them from the suggested activities, the server uses the API of a third-party reservation system (e.g., the API of Booking.com or OpenTable) to process the reservation on their behalf. Once the reservation is confirmed, information indicating that the reservation is complete is sent to the terminal.

[0848] If a user needs real-time support while traveling, for example if they get lost, the device will use GPS to send their current location information to the server. The server will then use this information to calculate the optimal route using a map service (e.g., Google Maps) and send that route information to the device, allowing the user to reach their destination smoothly. Other information such as detailed tourist information and emergency contact details will also be provided.

[0849] After the trip is over, the server sends the user a feedback request email or app notification, asking them to rate their trip satisfaction and each activity. When the user enters and submits their feedback, the information is stored in a database and used for analysis. This allows for future travel plan customization and system improvements.

[0850] Specific examples

[0851] For example, if a travel-loving individual (user) uses this system to plan a weekend trip, the user first accesses the system and enters basic information and travel preferences to create a profile. Next, the server uses this information to suggest potential destinations suitable for a weekend trip (such as hot springs or natural parks). If the user selects a hot spring, the server will suggest hiking trails and local restaurants in the hot springs area, and once the user makes a selection, the reservation process will be completed automatically. If the user gets lost during the trip, the device will provide real-time navigation and guide them to the shortest route to the hot springs. After the trip, the user can fill out a feedback form in the system, and that information will be reflected in future travel plans.

[0852] Prompt Sentence Examples

[0853] "I'm planning a trip with an emphasis on cultural experiences. My budget is under ¥100,000 and I'm looking for a relaxing place. I've been to Europe before. Can you recommend some destinations and activities?"

[0854] By inputting this prompt into a generative AI model, the system described above can suggest optimal travel destinations and activities, helping to personalize the user's travel experience.

[0855] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0856] Step 1: Register and set up your profile

[0857] A user accesses a web interface or application provided via the Internet. The user enters basic information (such as name, contact information, and past travel history) and travel preferences (such as travel style and budget range). The server receives this input data and stores it in a database. Specifically, when the user presses the "Submit" button, the server processes the data, stores it securely in a database, and generates a user profile. The input is the user's basic information and travel preferences, and the output is storage in a database and generation of a user profile.

[0858] Step 2: Select a destination

[0859] The server retrieves the user's basic information and travel preferences from a database. Next, the server uses an AI algorithm (e.g., TensorFlow or PyTorch) to select the most suitable destination candidates, taking into account factors such as season, weather, beautiful tourist spots, and past data. Specifically, the AI ​​model scores destinations based on the user's preferences and suggests the top selected destination candidates to the user. The input is the user's basic information and travel preferences, and the output is the selected destination candidates.

[0860] Step 3: Propose potential destinations

[0861] The server sends the selected destination candidates to the user's device. The user can then view a brief description of each destination candidate, information about tourist attractions, and photos on their device. Specifically, the server sends data to the device in HTML or JSON format, which the user can view using an application that displays the data. The input is the selected destination candidates, and the output is the destination information displayed on the user's device.

[0862] Step 4: Suggest and book an activity

[0863] The server suggests activities to the user based on the destination information. The user selects the activity that interests them from the suggested activities. The server then handles the reservation process on their behalf using the API of a third-party reservation system (for example, the API of Booking.com or OpenTable). Specifically, the server sends an API request, and once the reservation is completed, it saves the information in a database and notifies the user's device. The input is the activity selected by the user, and the output is reservation completion information.

[0864] Step 5: Real-time support during your trip

[0865] When a user requests real-time support while traveling, they use GPS to send their current location information from their device to a server. The server uses this information to calculate the optimal route using a map service (e.g., Google Maps) and sends the route information to the device. Specifically, when a user gets lost, they send a request from their device, and the server provides navigation information in real time. The input is the user's current location information, and the output is navigation information.

[0866] Step 6: Collect post-trip feedback

[0867] After the trip is over, the server sends the user an email or app notification requesting feedback. The user fills in a feedback form with their satisfaction with the trip and ratings for each activity and submits it. The server stores this data in a database and uses it to customize the next trip plan and improve the system. Specifically, the server sends the feedback form, and the user fills it out and submits it, saving the data. The input is the user's feedback, and the output is the rating information stored in the database.

[0868] (Application example 1)

[0869] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0870] Conventional travel planning systems only provide simple suggestions based on a user's basic information and travel preferences, which means they are unable to provide the travel experience that each user truly desires. They also lack real-time navigation support and the ability to incorporate post-trip feedback into future travel plans. Therefore, to improve user satisfaction, a more personalized experience and real-time support are needed.

[0871] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0872] In this invention, the server includes a means for a user to input basic information and travel preferences, a means for selecting candidate destinations based on the basic information and travel preferences, and a means for analyzing the user's profile using a generative AI model, thereby enabling the server to propose an optimal travel plan for each user.

[0873] Furthermore, the server includes means for being installed in the infotainment system, means for a user to input basic information and travel preferences using voice recognition or a touch screen, means for providing navigation during the trip using GPS, and means for providing support during the trip using the generative AI model, thereby enabling real-time support during the trip and improving the user experience.

[0874] The server also includes a means for collecting post-trip feedback and a means for customizing the next trip plan based on the feedback using the generative AI model, thereby enabling continuous improvement of user satisfaction and subsequent service quality.

[0875] "Basic information" is a general term for personal data about a user, such as their name, contact information, and past travel history.

[0876] "Travel preferences" refers to information such as a user's preferred travel style, budget range, specific activities, and themes of interest.

[0877] "Destination candidates" are potential travel destinations selected by an AI algorithm based on the user's basic information and travel preferences.

[0878] "Activities" refer to specific actions or events that users can participate in during their trip, such as visiting tourist attractions, adventure tours, or restaurant reservations.

[0879] "Real-time support" refers to assistance such as navigation and emergency contact that is provided to users immediately during their trip.

[0880] "Feedback" refers to data collected from users after the trip is completed, regarding their satisfaction with the trip and their evaluation of each activity.

[0881] An "infotainment system" is a system installed in an autonomous vehicle that provides information and entertainment functions.

[0882] "Speech recognition" is the technology that identifies a user's voice input and converts it into text or commands.

[0883] A "touch screen" is a display device that allows a user to input information or perform operations by touching the screen.

[0884] "GPS" is a global positioning system that measures positions on Earth with high precision.

[0885] A "generative AI model" is an artificial intelligence algorithm that analyzes data based on user profiles and feedback to provide optimal travel plans and support.

[0886] This invention is a system that allows users to input basic information and travel preferences, and provides optimal travel plans and real-time support based on that information. This system operates through interaction between the user, server, and terminal. Each function of the system is described in detail below.

[0887] User registration and profile settings

[0888] Users use the autonomous vehicle's infotainment system to input their basic information and travel preferences. The device is equipped with a touchscreen and a voice recognition system, and users input information using these means. For example, a user might provide information by voice, such as, "My name is Taro Tanaka. I'd like to take a relaxing trip within 100,000 yen."

[0889] Destination Selection

[0890] The server uses a generative AI model to select the best possible destinations based on the user's basic information and travel preferences. The AI ​​model analyzes the user's profile and takes into account factors such as season, weather, scenic spots, and historical data. The selected destinations are then displayed on the device's screen.

[0891] Activity suggestions and bookings

[0892] Based on the selected destination information, the server suggests activities tailored to the user's preferences. Examples include visiting tourist spots, adventure tours, and restaurant reservations. The user selects the activities that interest them using voice or the touchscreen. After selection, the server handles the reservation procedure for each activity and notifies the terminal of the reservation completion confirmation.

[0893] Real-time support during your trip

[0894] While traveling, the device uses GPS to provide navigation from the current location to the destination, and if the user gets lost, it will provide real-time guidance on the optimal route. It also provides detailed information on tourist attractions and local emergency contacts.

[0895] Post-trip feedback collection

[0896] After the trip is completed, the server sends a notification to the user prompting them to provide feedback. The user can input the feedback by voice or touchscreen. The server analyzes the feedback and uses a generative AI model to customize the next trip plan and improve the system.

[0897] Hardware and software used

[0898] Hardware:

[0899] Autonomous vehicle infotainment systems (touchscreens, speakers, microphones, GPS systems)

[0900] software:

[0901] Database management system (e.g. MySQL)

[0902] Server-side programs (e.g., Node.js)

[0903] Mobile applications (e.g. React Native or Swift)

[0904] Speech recognition systems (e.g., Google Cloud Speech-to-Text)

[0905] A generative AI model (e.g., GPT-3 or GPT-4)

[0906] Specific examples

[0907] For example, a user planning a trip to Hokkaido might enter a prompt such as, "My name is Taro Tanaka. I'd like a relaxing trip with a budget of less than 100,000 yen." The generative AI model then suggests Hakodate City as the optimal destination and offers a plan that includes beautiful night views and hot spring inns. During the trip, GPS provides real-time navigation from the user's current location, and after the trip, feedback is collected and reflected in the next plan.

[0908] In this way, the system of the present invention enhances the user experience by personalizing each user's individual travel experience and providing consistent support at every stage of the journey.

[0909] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0910] Step 1:

[0911] The user enters basic information and travel preferences.

[0912] Input: The user uses the infotainment system's touchscreen or voice recognition to enter basic information such as name, contact information, travel style, budget, and past travel history.

[0913] Processing: The terminal accepts the entered information and stores it in the initial format.

[0914] Output: Basic information and travel preference data is sent to the server.

[0915] Step 2:

[0916] The server selects potential destinations using a generative AI model based on the user's basic information and travel preferences.

[0917] Input: The server receives basic information and travel preference data.

[0918] Processing: A generative AI model analyzes the user's profile and selects the best possible destinations, taking into account factors such as season, weather, and tourist attractions.

[0919] Output: Destination candidate data is generated and sent to the terminal.

[0920] Step 3:

[0921] The terminal proposes destination candidates to the user.

[0922] Input: Destination candidate data sent from the server.

[0923] Processing: The device displays potential destinations on the screen, along with brief descriptions and photos. Voice reading is also possible.

[0924] Output: The user is presented with the best possible destinations both visually and audibly.

[0925] Step 4:

[0926] The user selects one of the suggested destinations.

[0927] Input: Select your destination using the display or voice input.

[0928] Processing: The terminal records the selected destination information and sends it to the server.

[0929] Output: The selected destination information is sent to the server.

[0930] Step 5:

[0931] The server suggests activities based on the selected destination and handles the booking process.

[0932] Input: Selected destination information.

[0933] Processing: The generative AI model selects activities relevant to the destination and suggests them based on the user's preferences. The server contacts the booking service and books the activities based on the user's selection.

[0934] Output: Activity reservation completion information is sent to the terminal.

[0935] Step 6:

[0936] The device provides real-time support during the journey.

[0937] Input: User's current location data (from GPS).

[0938] Processing: The device uses the GPS system to obtain the current location and uses generative AI models to generate optimal navigation information, as well as tourist attractions and emergency contact information.

[0939] Output: Real-time navigation and support information is provided to the user.

[0940] Step 7:

[0941] The server collects feedback after the trip and uses it to customize your next travel plan.

[0942] Input: Feedback data (provided by user after trip).

[0943] Processing: The server analyzes the feedback and uses a generative AI model to customize your next trip plan. The system also improves based on the feedback.

[0944] Output: Customized next trip plan and system improvement information.

[0945] Through these processing steps, the present invention can individually personalize a user's travel experience and provide consistent support at every stage.

[0946] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0947] The present invention relates to a system that recognizes a user's emotional state in addition to basic information and travel preferences, and provides a customized travel plan for each step based on the user's emotional state. The program of this system operates while interacting with the user, server, terminal, and emotion engine as follows:

[0948] User registration and profile settings

[0949] When a user first visits the TravelWhiz Explorer website or application, the server prompts the user to enter basic information and travel preferences, including name, contact information, preferred travel style (e.g., relaxation, adventure, cultural experiences, etc.), budget, past travel history, etc. This information is stored by the server in a database to create a personalized profile for the user.

[0950] Destination Selection

[0951] The server uses an AI algorithm to select the most suitable destination candidates based on the user's basic information and travel preferences. Candidates are selected based on many factors, including weather, season, tourist attractions, and past data. The results are presented to the user via their device, allowing them to view detailed information about each candidate (descriptions, tourist attractions, photos, etc.).

[0952] The role of the emotional engine

[0953] The emotion engine analyzes user input and sensor data (e.g., facial recognition, voice tone analysis) to determine the user's emotional state, which is used to further personalize the travel plan. For example, if the user is feeling stressed, the emotion engine will suggest more relaxing activities.

[0954] Activity suggestions and bookings

[0955] The server then suggests activities that reflect the user's emotional state based on the selected destination. For example, if the emotion engine determines that the user is looking for relaxation, the server will prioritize activities such as spas, hot springs, and quiet tourist spots. Once the user selects an activity, the server handles the reservation process and sends confirmation information to the device.

[0956] Real-time support during your trip

[0957] Once the trip begins, the device provides real-time support to the user. The device uses GPS to track the user's location and provides navigation and emergency contact information as needed. The emotion engine also monitors the user's emotional state during the trip. If signs of anxiety or stress are detected, the server can take action to provide appropriate support.

[0958] Post-trip feedback collection

[0959] After the trip is over, the server will send a notification to the user requesting feedback. The user can provide feedback on their overall trip satisfaction and each activity through a feedback form, and the server will analyze this information and store it in a database, which will help further personalize their next trip plan and improve the user experience.

[0960] Specific examples

[0961] For example, suppose a user uses the system to plan a weekend trip. First, the user enters basic information and travel preferences on a registration screen. Based on this, the server suggests suitable destination candidates, and the user selects one. The emotion engine then analyzes the user's emotional state. If it recognizes that the user is tired, it suggests a relaxing activity (such as a spa or hot spring). The selected activity is booked by the server, and confirmation information is sent to the device. During the trip, the device supports the user in real time, and the emotion engine monitors the user's emotional state to provide additional support as needed. After the trip, the server collects feedback and incorporates it into the next travel plan.

[0962] Thus, the present invention is a system that provides a more personalized travel experience by taking into account the user's emotional state in addition to basic information and travel preferences.

[0963] The processing flow will be explained below.

[0964] Step 1:

[0965] A user visits the TravelWhiz Explorer website or app and opens the registration screen.

[0966] Step 2:

[0967] The user enters basic information such as name, contact information, travel preferences (relaxation, adventure, cultural experiences, etc.), budget range, and past travel history and submits.

[0968] Step 3:

[0969] The server receives the submitted basic information and travel preferences and stores them in a database to create a profile of the user.

[0970] Step 4:

[0971] Based on the user's profile information, the server uses an AI algorithm to select multiple possible destinations, taking into account factors such as weather, season, scenic spots, and historical data.

[0972] Step 5:

[0973] The server sends the selected destination candidates to the device, which then displays them to the user. Each destination includes a brief description, key attractions, and photos.

[0974] Step 6:

[0975] The user selects a destination from the proposed destination candidates.

[0976] Step 7:

[0977] Based on the selected destination, the server suggests activities (such as sightseeing visits, adventure tours, restaurant reservations, etc.) that match the user's travel style and budget.

[0978] Step 8:

[0979] The emotion engine analyzes user input and sensor data (such as facial recognition and voice tone analysis) to determine the user's emotional state.

[0980] Step 9:

[0981] The server uses data from the emotion engine to prioritize and suggest activities that correspond to the user's emotional state. For example, if the emotion engine determines that the user is tired, it will prioritize and suggest relaxing activities (e.g., spas, hot springs).

[0982] Step 10:

[0983] The user selects an activity that interests them from the presented activities and submits a reservation request.

[0984] Step 11:

[0985] The server receives the user's reservation request, works with the activity service provider to complete the reservation procedure, and sends confirmation information to the terminal once the reservation is complete.

[0986] Step 12:

[0987] Once the journey begins, the device provides real-time support to the user, using GPS to navigate from the current location to the destination.

[0988] Step 13:

[0989] The emotion engine monitors the user's emotional state during the trip, and if it detects signs of anxiety or stress, the server will take action, such as re-suggesting relaxing activities or providing emergency support.

[0990] Step 14:

[0991] After the trip is over, the server sends the user an email or a notification requesting their satisfaction with the entire trip and a rating for each activity.

[0992] Step 15:

[0993] The user fills out and submits the feedback form.

[0994] Step 16:

[0995] The server analyzes the collected feedback and stores it in a database, which is used to customize your next travel plan and improve the system.

[0996] Example 2

[0997] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0998] Conventional travel planning systems provide travel plans based on a user's basic information and travel preferences, but lack personalization that takes into account the user's emotional state. As a result, it is difficult to provide flexible travel plans that respond to the user's changing emotional state in real time, and it has been difficult to improve satisfaction during the trip.

[0999] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1000] In this invention, the server includes means for a user to input basic information and travel preferences, means for selecting candidate destinations based on the basic information and travel preferences, means for suggesting the candidate destinations to the user, means for suggesting and booking activities based on the destinations, means for supporting the user in real time during the trip, means for collecting feedback after the trip, means for recognizing and analyzing emotional states, and means for customizing activities based on the emotional states, thereby making it possible to provide a flexible travel plan that corresponds to the user's emotional states and improve satisfaction during the trip.

[1001] 1. "Means for users to input basic information and travel preferences" refers to the interface through which users input information into the system, such as their name, contact information, preferred travel style, budget, and past travel history.

[1002] 2. "Basic Information" refers to personally identifiable information such as a user's name, contact information, and date of birth.

[1003] 3. "Travel preferences" refers to information such as the user's preferred travel style, purpose, budget, and past travel history.

[1004] 4. "Means for selecting potential destinations" refers to the AI ​​algorithms and analytical engines that select optimal travel destinations based on the user's basic information and travel preferences.

[1005] 5. "AI algorithm" refers to artificial intelligence technology that analyzes large amounts of data and learns patterns to derive optimal results.

[1006] 6. "Means for suggesting destination candidates to the user" refers to an interface that presents information about selected destinations to the user and prompts them to make a selection.

[1007] 7. "Activity suggestion and booking mechanism" refers to a system that further customizes a user's travel plans based on selected destinations and makes reservations on their behalf.

[1008] 8. "Means of providing real-time support to users while traveling" refers to functions that provide necessary information and support according to the user's current location and situation while traveling.

[1009] 9. "Means for collecting feedback" refers to the procedures for collecting opinions from users after the trip, such as satisfaction and areas for improvement.

[1010] 10. "Means for recognizing and analyzing emotional state" means a system for determining a user's current emotional state, such as by using facial recognition or voice analysis of the user.

[1011] 11. "Means for customizing activities based on emotional state" refers to a mechanism for selecting and suggesting optimal activities based on the user's emotional state.

[1012] The present invention is a system that recognizes a user's emotional state in addition to basic information and travel preferences, and provides a customized travel plan at each step. This system operates in cooperation with each element: server, terminal, user, and emotion engine.

[1013] Hardware and software used

[1014] Hardware: Internet-connected devices (PCs, smartphones, tablets)

[1015] Software: websites or mobile applications, facial recognition software, voice tone analysis software, AI algorithms (e.g., TensorFlow, PyTorch)

[1016] User registration and profile settings

[1017] When a user first accesses the system, the server prompts the user to enter basic information and travel preferences, including name, contact information, travel style (relaxed, adventurous, cultural, etc.), budget, and past travel history. This information is then stored in a database by the server, creating a personalized profile.

[1018] Destination Selection

[1019] The server uses AI algorithms to select the best possible destinations based on the user's basic information and travel preferences. Candidate locations are selected taking into account factors such as weather, season, tourist attractions, and past data. The results are then presented to the user via their device.

[1020] Emotional state analysis using emotion engine

[1021] The emotion engine analyzes user input data and sensor data (e.g., facial recognition, voice tone analysis) to determine the user's emotional state. For example, if stress is detected, it will suggest relaxing activities. The analysis results are sent to the server.

[1022] Activity suggestions and bookings

[1023] The server then suggests the most suitable activity based on the selected destination and the user's emotional state. Once the user selects a suggested activity, the server handles the reservation process and sends confirmation information to the terminal.

[1024] Real-time support during your trip

[1025] Once the trip begins, the device tracks the user's current location via GPS and provides navigation and emergency contact information as needed. The emotion engine also monitors the user's emotional state in real time, and if stress or anxiety is detected, the server provides appropriate support.

[1026] Post-trip feedback collection

[1027] After the trip, the server sends a feedback request to the user. When the user enters their satisfaction with the trip and their evaluation of each activity in the feedback form, the server collects the data and uses it to plan their next trip.

[1028] Specific examples

[1029] For example, when a user plans a weekend trip, they first enter their basic information and travel preferences. The server then suggests potential destinations based on this information, and the user selects one. The emotion engine then analyzes the user's emotional state and suggests a spa or hot spring if it determines that relaxation is needed. Once the reservation is complete, confirmation information is sent to the device. During the trip, the device provides real-time support and navigation as needed. After the trip is over, the server collects feedback and incorporates it into the next trip.

[1030] Prompt Sentence Examples

[1031] 1. Register your basic information (name, contact information, etc.) and travel preferences (e.g., relaxation, adventure, etc.).

[1032] 2. Based on your registration information, we will suggest the best travel destinations for you.

[1033] 3. Analyze your current emotional state and suggest travel activities based on the results.

[1034] 4. If you select a proposed activity, please book it on your behalf and provide your confirmation information.

[1035] The above is an embodiment of the present invention.

[1036] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1037] Step 1: Register and set up your profile

[1038] A user visits a website or application and enters basic information (such as name, contact information, and date of birth) and travel preferences (such as relaxation, adventure, or cultural experiences).

[1039] Input: User's basic information and travel preferences

[1040] Action: Enter data into the form and click the submit button.

[1041] The server receives this and stores it in a database.

[1042] Output: An individual profile for the user is created in the database.

[1043] Step 2: Select a destination

[1044] The server uses AI algorithms to select the best possible destinations based on the user's basic information and travel preferences.

[1045] Input: User's basic information, travel preferences

[1046] How it works: Retrieves user information from a database and analyzes it using AI algorithms (e.g., TensorFlow, PyTorch), taking into account weather, seasons, tourist attractions, historical data, etc.

[1047] Output: Generate a list of optimal destination candidates and send it to the device.

[1048] Step 3: Propose potential destinations

[1049] The terminal presents the destination candidates received from the server to the user.

[1050] Input: A list of destination candidates sent from the server

[1051] What it does: Displays detailed information (description, attractions, photos) about a potential destination in a user interface.

[1052] Output: The user reviews the destination options and makes a selection.

[1053] Step 4: Analyze emotional state

[1054] The emotion engine analyzes user input data and sensor data (e.g., facial recognition, voice tone analysis) to determine the current emotional state.

[1055] Input: User's face image data, voice data

[1056] What it does: Analyzes emotional state using facial recognition and tone analysis software.

[1057] Output: Send emotional state data (e.g., stressed, relaxed, excited, etc.) to the server.

[1058] Step 5: Suggest and book an activity

[1059] The server suggests activities to the user based on the emotional state data and the selected destination. Once the user selects an activity, the server handles the booking process and sends confirmation to the terminal.

[1060] Input: Emotional state data, selected destination

[1061] Action: Based on this, an activity list is generated and presented to the user. The activities selected by the user are sent to the booking system and the booking is confirmed.

[1062] Output: Reservation confirmation information is sent to the terminal.

[1063] Step 6: Real-time support during your trip

[1064] Once the trip begins, the device will track the user's current location via GPS and provide navigation and emergency contact information as needed. The emotion engine will also monitor the user's emotional state in real time, and if stress or anxiety is detected, the server will provide appropriate support.

[1065] Input: User's GPS data, emotional state data

[1066] What it does: Receives GPS data to track your location, provides navigation instructions and emergency contact information when needed, and monitors your emotional state in real time.

[1067] Output: Navigation information, support information if anxiety or stress is detected.

[1068] Step 7: Collect post-trip feedback

[1069] After the trip, the server sends a feedback request to the user, who provides feedback on their satisfaction with the trip and their ratings for each activity. The server then collects this data and uses it to plan their next trip.

[1070] Input: User feedback data (satisfaction, activity rating)

[1071] What it does: Sends a feedback form to the user, stores their responses in a database and analyzes them.

[1072] Output: Improved future trip planning based on feedback data.

[1073] (Application example 2)

[1074] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1075] Current shopping assistant systems suggest products without considering the user's emotional state, which can result in products that do not match the user's mood or emotions. This can make it difficult to stimulate the user's purchasing motivation and can reduce satisfaction. There is a need to solve this problem and provide more personalized product suggestions based on the user's emotional state.

[1076] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for a user to input basic information and travel preferences, means for selecting destination candidates based on the basic information and travel preferences, means for suggesting the destination candidates to the user, means for suggesting and booking activities based on the destinations, means for supporting the user in real time during the trip, means for collecting feedback after the trip, and means for recognizing the user's emotional state and suggesting personalized products and services based on the recognition. This makes it possible to provide products and services that are optimal for the user's emotional state.

[1077] A "user" is an entity that uses the system and is an individual or organization that inputs basic information and travel preferences.

[1078] "Basic Information" is basic data about the user, such as the user's name, contact information, travel preferences, budget, and past travel history.

[1079] "Travel preferences" is information about the style and activities that the user prefers when traveling, such as relaxation, adventure, or cultural experiences.

[1080] "Destination candidates" are travel destination candidates selected by the server based on the user's basic information and travel preferences.

[1081] "Activities" refer to events and experiences that users can participate in at their travel destination, and can range from sightseeing, sports, and relaxation.

[1082] "Emotional state" refers to the user's current mood or psychological state, and is information determined by methods such as facial recognition or voice tone analysis.

[1083] "Personalization" is the process of optimizing the services and products offered based on a user's individual attributes and preferences.

[1084] "Real-time support" is a function that provides immediate assistance and information in response to various situations that users may encounter while traveling.

[1085] "Feedback" refers to information provided by a user after completing a trip, such as satisfaction with the entire trip and evaluation of each activity.

[1086] An "emotion recognition engine" is a technology that evaluates a user's emotional state using methods such as facial recognition and voice tone analysis, and feeds the results back to the system.

[1087] The present invention is a system that recognizes a user's emotional state in addition to their basic information and travel preferences, and provides customized travel plans and shopping suggestions at each step based on that.

[1088] System configuration

[1089] This system operates through interaction between the server, the terminal, and the emotion recognition engine. Specifically, it uses the following hardware and software:

[1090] Server: Manages the database, runs AI algorithms, generates travel plans and product recommendations.

[1091] Terminal: A smartphone or smart glasses is used as the user interface, and information is exchanged between the user and the server.

[1092] Emotion Recognition Engine: Recognizes the user's emotional state using facial recognition libraries such as DeepFace and voice tone analysis software.

[1093] User registration and profile settings

[1094] When a user first accesses a website or application, the server prompts the user to enter basic information and travel preferences, which then stores information such as name, contact information, preferred travel style, budget, and past travel history in a database to create a personalized profile for the user.

[1095] Destination selection and proposal

[1096] The server uses an AI algorithm to select the most suitable destination candidates based on the user's basic information and travel preferences. These candidates are selected based on many factors, including weather, season, tourist attractions, and past data. The results are presented to the user via their device, and the user can view detailed information about each candidate.

[1097] Emotion engine determines emotional state

[1098] The emotion recognition engine analyzes user input and sensor data (e.g., facial recognition, voice tone analysis) to determine the user's emotional state. For example, if the user is feeling stressed, the emotion recognition engine can suggest more relaxing activities or products.

[1099] Activity suggestions and bookings

[1100] The server then suggests activities that reflect the user's emotional state based on the selected destination, reserves the selected activity, and sends confirmation information to the device.

[1101] Real-time support during your trip

[1102] Once the trip begins, the device provides real-time support to the user. The device uses GPS to track the user's current location and provides navigation and emergency contact information. An emotion recognition engine also monitors the user's emotional state during the trip, and if signs of stress are detected, the server will provide appropriate support.

[1103] Post-trip feedback collection

[1104] After the trip is over, the server will send a notification to the user requesting feedback. The user can provide feedback through a feedback form to rate their overall trip satisfaction and each activity. The server will then analyze this information and store the data in a database, which will help further personalize their next trip and improve the user experience.

[1105] Examples of shopping suggestions

[1106] For example, when a user visits a supermarket, a smartphone camera performs facial recognition and an emotion recognition engine determines the user's emotional state. If the user is feeling stressed, the server will suggest relaxing goods and foods. If the user is feeling happy, the server will suggest entertainment products.

[1107] Example prompt sentence:

[1108] "When users feel stressed, we suggest relaxation products."

[1109] "When users feel happy, we suggest entertainment products."

[1110] In this way, the present invention provides a more personalized travel and shopping experience by taking into account the user's emotional state.

[1111] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1112] Step 1:

[1113] The user enters basic information and travel preferences.

[1114] Input: Name, contact information, travel preferences (relaxation, adventure, cultural experiences, etc.), budget, and past travel history.

[1115] Process: The user uses a device (smartphone or smart glasses) to enter basic information and travel preferences, which are then sent to the server.

[1116] Output: The server creates and stores the user's individual profile in a database.

[1117] Step 2:

[1118] The server selects destination candidates.

[1119] Input: User's basic information and travel preferences.

[1120] Processing: The server uses AI algorithms to calculate the best possible destinations based on many factors, including weather, season, tourist attractions, and historical data.

[1121] Output: Generate a list of selected destination candidates and send it to the device.

[1122] Step 3:

[1123] The server suggests destination candidates to the user.

[1124] Input: A list of potential destinations.

[1125] Processing: The server presents detailed information about the destination candidates (descriptions, tourist spots, photos, etc.) to the user via the terminal.

[1126] Output: The device displays detailed information about the potential destination to the user.

[1127] Step 4:

[1128] An emotion recognition engine determines the user's emotional state.

[1129] Input: User's facial photo and voice data.

[1130] Processing: The emotion recognition engine analyzes the emotional state using the DeepFace library and voice tone analysis software.

[1131] Output: Determine the user's current emotional state (e.g., stress, happiness) and send it to the server.

[1132] Step 5:

[1133] The server proposes and schedules activities.

[1134] Input: User's emotional state, selected destination.

[1135] Processing: The server selects and prioritizes activities that reflect the user's emotional state, reserves the selected activity, and generates a confirmation.

[1136] Output: Sends reservation confirmation information to the terminal.

[1137] Step 6:

[1138] The device provides real-time support during the journey.

[1139] Input: User's current location, booked activity, user's emotional state.

[1140] Processing: The device uses GPS to track the user's location and provides navigation and emergency contact information as needed. The emotion recognition engine monitors the user's emotional state, and the server provides appropriate support.

[1141] Output: Display real-time navigation information and support messages to the user.

[1142] Step 7:

[1143] The server collects post-trip feedback.

[1144] Inputs: Satisfaction and ratings for each activity entered into the feedback form.

[1145] Processing: The server collects the feedback information and stores it in a database. It then analyzes the data to help plan your next trip.

[1146] Output: Analyze the feedback data and use it to plan your next trip.

[1147] Through these steps, the present invention provides personalized travel experiences and shopping suggestions that take into account the user's emotional state.

[1148] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1149] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1150] 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 the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1151] [Fourth embodiment]

[1152] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1153] 7, a 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.

[1154] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1155] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1156] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1157] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1158] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1159] The control object 443 includes a display device, LEDs in the eyes, and motors for driving 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 emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1160] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1161] The specific processing program 56 is an example of a "program" according to the technology of the present 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.

[1162] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1163] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1164] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1165] The present invention relates to a system that allows users to input basic information and travel preferences, and provides optimal travel plans and real-time support based on that information. The program of this system operates while interacting between the user, server, and terminal as follows:

[1166] User registration and profile settings

[1167] When a user first visits the TravelWhiz Explorer website or application, the server prompts the user for basic information and travel preferences, including name, contact information, preferred travel style (e.g., relaxation, adventure, cultural experiences, etc.), budget range, and past travel history. The server stores this information in a database to create a personalized profile for the user.

[1168] Destination Selection

[1169] The server uses an AI algorithm to select the most suitable destination candidates based on the user's saved basic information and travel preferences. These candidates also take into account factors such as season, weather, beautiful tourist spots, and past data. The selected destination candidates are then presented to the user via their device. Users can then view a brief description of each candidate, its main attractions, and photos.

[1170] Activity suggestions and bookings

[1171] Based on the selected destination information, the server suggests activities that match the user's preferences. Activities include visiting tourist spots, adventure tours, and restaurant reservations. The user selects the activities that interest them from the suggested activities. After selection, the server handles the reservation procedure for each activity and notifies the terminal of the reservation completion confirmation.

[1172] Real-time support during your trip

[1173] During the trip, the device will provide real-time support to the user. For example, if the user gets lost, the device will use GPS to navigate from the current location to the destination. In addition, it will provide detailed information about tourist spots and local emergency contacts as needed.

[1174] Post-trip feedback collection

[1175] After the trip is over, the server will send the user an email or a notification, asking them to rate their trip satisfaction and each activity. The server will analyze the feedback provided by the user and use it to customize the next trip plan and improve the system, thereby further improving the user's future travel experience.

[1176] Specific examples

[1177] For example, if a travel-loving individual (user) uses this system to plan a weekend trip, the user first accesses the system and enters basic information and travel preferences to create a profile. Next, the server uses this information to suggest potential destinations suitable for a weekend trip (such as hot springs or natural parks). If the user selects a hot spring from the list, the server will suggest hiking trails and local restaurants in the hot springs area, and once the user makes a selection, the reservation process will be completed automatically. If the user gets lost during the trip, the device will provide real-time navigation and guide them to the shortest route to the hot springs. After the trip, the user can fill out a feedback form in the system, and that information will be reflected in future travel plans.

[1178] In this way, the present invention is a system that improves the user experience by personalizing each user's individual travel experience and providing consistent support at each stage of the journey.

[1179] The processing flow will be explained below.

[1180] Step 1:

[1181] A user visits the TravelWhiz Explorer website or app and opens the registration screen.

[1182] Step 2:

[1183] The user enters basic information and travel preferences, such as name, contact information, preferred travel style (relaxation, adventure, cultural experience, etc.), budget range, and past travel history, and submits.

[1184] Step 3:

[1185] The server receives the submitted basic information and travel preferences and stores them in a database to create a profile of the user.

[1186] Step 4:

[1187] Based on the user's profile information, the server uses an AI algorithm to select the most suitable destination candidates, taking into account factors such as weather, season, scenic spots, and historical data.

[1188] Step 5:

[1189] The server sends the selected destination candidates to the device, which then displays them to the user. Each destination includes a brief description, key attractions, and photos.

[1190] Step 6:

[1191] The user selects a destination from the proposed destination candidates.

[1192] Step 7:

[1193] Based on the selected destination, the server suggests activities (such as sightseeing visits, adventure tours, restaurant reservations, etc.) that match the user's travel style and budget.

[1194] Step 8:

[1195] The user selects an activity that interests them from the presented activities and submits a reservation request.

[1196] Step 9:

[1197] The server receives the user's reservation request, coordinates with the service provider of each activity, and performs the reservation procedure on the user's behalf. Once the reservation is completed, confirmation information is sent to the terminal.

[1198] Step 10:

[1199] Once the journey begins, the device provides real-time assistance to the user, for example, using GPS to navigate from the current location to the destination if the user gets lost.

[1200] Step 11:

[1201] After the trip is over, the server sends an email or a notification to the user, asking for their satisfaction with the entire trip and a rating for each activity.

[1202] Step 12:

[1203] The user fills out and submits the feedback form.

[1204] Step 13:

[1205] The server analyzes the collected feedback and stores it in a database, which is used to customize your next travel plan and improve the system.

[1206] Example 1

[1207] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1208] Conventional travel planning systems make it difficult for users to find the best destinations and activities for their trips, and lack real-time support during the trip. They also lack the ability to collect post-trip feedback and customize the next trip plan based on that feedback, hindering an improved user experience.

[1209] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1210] In this invention, the server includes means for a user to input basic information and travel preferences, means for selecting destination candidates based on the basic information and travel preferences, means for suggesting the destination candidates to the user, means for suggesting and booking activities based on the destinations, means for supporting the user in real time during the trip, and means for collecting feedback after the trip, thereby enabling the user to easily find an optimal travel plan tailored to their preferences, receive real-time support during the trip, and provide feedback after the trip to further improve their experience next time.

[1211] A "User" is an individual who utilizes the system to create a travel plan and provide support and feedback during the trip.

[1212] "Basic Information" is personal data such as the user's name, contact information, travel preferences and budget.

[1213] "Travel preferences" are specific conditions such as the style and purpose of a user's travel, such as relaxation, adventure, or cultural experience.

[1214] "Destination candidates" are travel destination options suggested based on the user's basic information and travel preferences.

[1215] "Activities" are specific activities and experiences that take place during a trip, such as visiting tourist attractions at a destination, taking an adventure tour, or booking a restaurant.

[1216] "Reservation Method" means a method for reserving a User's selected activity through a formal procedure, which may be performed using the application programming interface of a third-party reservation system.

[1217] "Real-time support" refers to assistance that provides users with the information, directions, emergency contact information, and other information they need while traveling based on their current situation.

[1218] "Feedback" refers to opinions, impressions, and evaluations of each activity that users provide to the system after completing their trip.

[1219] "Artificial intelligence algorithms" are advanced computational techniques used to analyze data and select optimal destination candidates based on a user's basic information and travel preferences.

[1220] The present invention relates to a system that allows users to input basic information and travel preferences, and provides optimal travel plans and real-time support based on that information. The program of this system operates while interacting with the user, server, and terminal.

[1221] First, a user accesses the system using a web interface or application provided via the Internet. When accessing, the user enters basic information (such as name, contact information, and past travel history) and travel preferences (e.g., travel style, budget range, etc.). This information is then stored by the server in a database (e.g., MySQL or PostgreSQL) to generate an individual profile for the user.

[1222] The server then uses AI algorithms (such as TensorFlow or PyTorch) based on the stored user information to select the most suitable destination candidates, taking into account factors such as season, weather, beautiful tourist spots, and past data. These selected destination candidates are then suggested to the user via their device. The suggested candidates include information such as a brief description of each destination, its main attractions, and photos.

[1223] Furthermore, the server suggests activities (such as sightseeing, adventure tours, and restaurant reservations) that match the user's preferences based on the selected destination information. When the user selects an activity that interests them from the suggested activities, the server uses the API of a third-party reservation system (e.g., the API of Booking.com or OpenTable) to process the reservation on their behalf. Once the reservation is confirmed, information indicating that the reservation is complete is sent to the terminal.

[1224] If a user needs real-time support while traveling, for example if they get lost, the device will use GPS to send their current location information to the server. The server will then use this information to calculate the optimal route using a map service (e.g., Google Maps) and send that route information to the device, allowing the user to reach their destination smoothly. Other information such as detailed tourist information and emergency contact details will also be provided.

[1225] After the trip is over, the server sends the user a feedback request email or app notification, asking them to rate their trip satisfaction and each activity. When the user enters and submits their feedback, the information is stored in a database and used for analysis. This allows for future travel plan customization and system improvements.

[1226] Specific examples

[1227] For example, if a travel-loving individual (user) uses this system to plan a weekend trip, the user first accesses the system and enters basic information and travel preferences to create a profile. Next, the server uses this information to suggest potential destinations suitable for a weekend trip (such as hot springs or natural parks). If the user selects a hot spring, the server will suggest hiking trails and local restaurants in the hot springs area, and once the user makes a selection, the reservation process will be completed automatically. If the user gets lost during the trip, the device will provide real-time navigation and guide them to the shortest route to the hot springs. After the trip, the user can fill out a feedback form in the system, and that information will be reflected in future travel plans.

[1228] Prompt Sentence Examples

[1229] "I'm planning a trip with an emphasis on cultural experiences. My budget is under ¥100,000 and I'm looking for a relaxing place. I've been to Europe before. Can you recommend some destinations and activities?"

[1230] By inputting this prompt into a generative AI model, the system described above can suggest optimal travel destinations and activities, helping to personalize the user's travel experience.

[1231] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1232] Step 1: Register and set up your profile

[1233] A user accesses a web interface or application provided via the Internet. The user enters basic information (such as name, contact information, and past travel history) and travel preferences (such as travel style and budget range). The server receives this input data and stores it in a database. Specifically, when the user presses the "Submit" button, the server processes the data, stores it securely in a database, and generates a user profile. The input is the user's basic information and travel preferences, and the output is storage in a database and generation of a user profile.

[1234] Step 2: Select a destination

[1235] The server retrieves the user's basic information and travel preferences from a database. Next, the server uses an AI algorithm (e.g., TensorFlow or PyTorch) to select the most suitable destination candidates, taking into account factors such as season, weather, beautiful tourist spots, and past data. Specifically, the AI ​​model scores destinations based on the user's preferences and suggests the top selected destination candidates to the user. The input is the user's basic information and travel preferences, and the output is the selected destination candidates.

[1236] Step 3: Propose potential destinations

[1237] The server sends the selected destination candidates to the user's device. The user can then view a brief description of each destination candidate, information about tourist attractions, and photos on their device. Specifically, the server sends data to the device in HTML or JSON format, which the user can view using an application that displays the data. The input is the selected destination candidates, and the output is the destination information displayed on the user's device.

[1238] Step 4: Suggest and book an activity

[1239] The server suggests activities to the user based on the destination information. The user selects the activity that interests them from the suggested activities. The server then handles the reservation process on their behalf using the API of a third-party reservation system (for example, the API of Booking.com or OpenTable). Specifically, the server sends an API request, and once the reservation is completed, it saves the information in a database and notifies the user's device. The input is the activity selected by the user, and the output is reservation completion information.

[1240] Step 5: Real-time support during your trip

[1241] When a user requests real-time support while traveling, they use GPS to send their current location information from their device to a server. The server uses this information to calculate the optimal route using a map service (e.g., Google Maps) and sends the route information to the device. Specifically, when a user gets lost, they send a request from their device, and the server provides navigation information in real time. The input is the user's current location information, and the output is navigation information.

[1242] Step 6: Collect post-trip feedback

[1243] After the trip is over, the server sends the user an email or app notification requesting feedback. The user fills in a feedback form with their satisfaction with the trip and ratings for each activity and submits it. The server stores this data in a database and uses it to customize the next trip plan and improve the system. Specifically, the server sends the feedback form, and the user fills it out and submits it, saving the data. The input is the user's feedback, and the output is the rating information stored in the database.

[1244] (Application example 1)

[1245] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1246] Conventional travel planning systems only provide simple suggestions based on a user's basic information and travel preferences, which means they are unable to provide the travel experience that each user truly desires. They also lack real-time navigation support and the ability to incorporate post-trip feedback into future travel plans. Therefore, to improve user satisfaction, a more personalized experience and real-time support are needed.

[1247] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1248] In this invention, the server includes a means for a user to input basic information and travel preferences, a means for selecting candidate destinations based on the basic information and travel preferences, and a means for analyzing the user's profile using a generative AI model, thereby enabling the server to propose an optimal travel plan for each user.

[1249] Furthermore, the server includes means for being installed in the infotainment system, means for a user to input basic information and travel preferences using voice recognition or a touch screen, means for providing navigation during the trip using GPS, and means for providing support during the trip using the generative AI model, thereby enabling real-time support during the trip and improving the user experience.

[1250] The server also includes a means for collecting post-trip feedback and a means for customizing the next trip plan based on the feedback using the generative AI model, thereby enabling continuous improvement of user satisfaction and subsequent service quality.

[1251] "Basic information" is a general term for personal data about a user, such as their name, contact information, and past travel history.

[1252] "Travel preferences" refers to information such as a user's preferred travel style, budget range, specific activities, and themes of interest.

[1253] "Destination candidates" are potential travel destinations selected by an AI algorithm based on the user's basic information and travel preferences.

[1254] "Activities" refer to specific actions or events that users can participate in during their trip, such as visiting tourist attractions, adventure tours, or restaurant reservations.

[1255] "Real-time support" refers to assistance such as navigation and emergency contact that is provided to users immediately during their trip.

[1256] "Feedback" refers to data collected from users after the trip is completed, regarding their satisfaction with the trip and their evaluation of each activity.

[1257] An "infotainment system" is a system installed in an autonomous vehicle that provides information and entertainment functions.

[1258] "Speech recognition" is the technology that identifies a user's voice input and converts it into text or commands.

[1259] A "touch screen" is a display device that allows a user to input information or perform operations by touching the screen.

[1260] "GPS" is a global positioning system that measures positions on Earth with high precision.

[1261] A "generative AI model" is an artificial intelligence algorithm that analyzes data based on user profiles and feedback to provide optimal travel plans and support.

[1262] This invention is a system that allows users to input basic information and travel preferences, and provides optimal travel plans and real-time support based on that information. This system operates through interaction between the user, server, and terminal. Each function of the system is described in detail below.

[1263] User registration and profile settings

[1264] Users use the autonomous vehicle's infotainment system to input their basic information and travel preferences. The device is equipped with a touchscreen and a voice recognition system, and users input information using these means. For example, a user might provide information by voice, such as, "My name is Taro Tanaka. I'd like to take a relaxing trip within 100,000 yen."

[1265] Destination Selection

[1266] The server uses a generative AI model to select the best possible destinations based on the user's basic information and travel preferences. The AI ​​model analyzes the user's profile and takes into account factors such as season, weather, scenic spots, and historical data. The selected destinations are then displayed on the device's screen.

[1267] Activity suggestions and bookings

[1268] Based on the selected destination information, the server suggests activities tailored to the user's preferences. Examples include visiting tourist spots, adventure tours, and restaurant reservations. The user selects the activities that interest them using voice or the touchscreen. After selection, the server handles the reservation procedure for each activity and notifies the terminal of the reservation completion confirmation.

[1269] Real-time support during your trip

[1270] While traveling, the device uses GPS to provide navigation from the current location to the destination, and if the user gets lost, it will provide real-time guidance on the optimal route. It also provides detailed information on tourist attractions and local emergency contacts.

[1271] Post-trip feedback collection

[1272] After the trip is completed, the server sends a notification to the user prompting them to provide feedback. The user can input the feedback by voice or touchscreen. The server analyzes the feedback and uses a generative AI model to customize the next trip plan and improve the system.

[1273] Hardware and software used

[1274] Hardware:

[1275] Autonomous vehicle infotainment systems (touchscreens, speakers, microphones, GPS systems)

[1276] software:

[1277] Database management system (e.g. MySQL)

[1278] Server-side programs (e.g., Node.js)

[1279] Mobile applications (e.g. React Native or Swift)

[1280] Speech recognition systems (e.g., Google Cloud Speech-to-Text)

[1281] A generative AI model (e.g., GPT-3 or GPT-4)

[1282] Specific examples

[1283] For example, a user planning a trip to Hokkaido might enter a prompt such as, "My name is Taro Tanaka. I'd like a relaxing trip with a budget of less than 100,000 yen." The generative AI model then suggests Hakodate City as the optimal destination and offers a plan that includes beautiful night views and hot spring inns. During the trip, GPS provides real-time navigation from the user's current location, and after the trip, feedback is collected and reflected in the next plan.

[1284] In this way, the system of the present invention enhances the user experience by personalizing each user's individual travel experience and providing consistent support at every stage of the journey.

[1285] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1286] Step 1:

[1287] The user enters basic information and travel preferences.

[1288] Input: The user uses the infotainment system's touchscreen or voice recognition to enter basic information such as name, contact information, travel style, budget, and past travel history.

[1289] Processing: The terminal accepts the entered information and stores it in the initial format.

[1290] Output: Basic information and travel preference data is sent to the server.

[1291] Step 2:

[1292] The server selects potential destinations using a generative AI model based on the user's basic information and travel preferences.

[1293] Input: The server receives basic information and travel preference data.

[1294] Processing: A generative AI model analyzes the user's profile and selects the best possible destinations, taking into account factors such as season, weather, and tourist attractions.

[1295] Output: Destination candidate data is generated and sent to the terminal.

[1296] Step 3:

[1297] The terminal proposes destination candidates to the user.

[1298] Input: Destination candidate data sent from the server.

[1299] Processing: The device displays potential destinations on the screen, along with brief descriptions and photos. Voice reading is also possible.

[1300] Output: The user is presented with the best possible destinations both visually and audibly.

[1301] Step 4:

[1302] The user selects one of the suggested destinations.

[1303] Input: Select your destination using the display or voice input.

[1304] Processing: The terminal records the selected destination information and sends it to the server.

[1305] Output: The selected destination information is sent to the server.

[1306] Step 5:

[1307] The server suggests activities based on the selected destination and handles the booking process.

[1308] Input: Selected destination information.

[1309] Processing: The generative AI model selects activities relevant to the destination and suggests them based on the user's preferences. The server contacts the booking service and books the activities based on the user's selection.

[1310] Output: Activity reservation completion information is sent to the terminal.

[1311] Step 6:

[1312] The device provides real-time support during the journey.

[1313] Input: User's current location data (from GPS).

[1314] Processing: The device uses the GPS system to obtain the current location and uses generative AI models to generate optimal navigation information, as well as tourist attractions and emergency contact information.

[1315] Output: Real-time navigation and support information is provided to the user.

[1316] Step 7:

[1317] The server collects feedback after the trip and uses it to customize your next travel plan.

[1318] Input: Feedback data (provided by user after trip).

[1319] Processing: The server analyzes the feedback and uses a generative AI model to customize your next trip plan. The system also improves based on the feedback.

[1320] Output: Customized next trip plan and system improvement information.

[1321] Through these processing steps, the present invention can individually personalize a user's travel experience and provide consistent support at every stage.

[1322] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1323] The present invention relates to a system that recognizes a user's emotional state in addition to basic information and travel preferences, and provides a customized travel plan for each step based on the user's emotional state. The program of this system operates while interacting with the user, server, terminal, and emotion engine as follows:

[1324] User registration and profile settings

[1325] When a user first visits the TravelWhiz Explorer website or application, the server prompts the user to enter basic information and travel preferences, including name, contact information, preferred travel style (e.g., relaxation, adventure, cultural experiences, etc.), budget, past travel history, etc. This information is stored by the server in a database to create a personalized profile for the user.

[1326] Destination Selection

[1327] The server uses an AI algorithm to select the most suitable destination candidates based on the user's basic information and travel preferences. Candidates are selected based on many factors, including weather, season, tourist attractions, and past data. The results are presented to the user via their device, allowing them to view detailed information about each candidate (descriptions, tourist attractions, photos, etc.).

[1328] The role of the emotional engine

[1329] The emotion engine analyzes user input and sensor data (e.g., facial recognition, voice tone analysis) to determine the user's emotional state, which is used to further personalize the travel plan. For example, if the user is feeling stressed, the emotion engine will suggest more relaxing activities.

[1330] Activity suggestions and bookings

[1331] The server then suggests activities that reflect the user's emotional state based on the selected destination. For example, if the emotion engine determines that the user is looking for relaxation, the server will prioritize activities such as spas, hot springs, and quiet tourist spots. Once the user selects an activity, the server handles the reservation process and sends confirmation information to the device.

[1332] Real-time support during your trip

[1333] Once the trip begins, the device provides real-time support to the user. The device uses GPS to track the user's location and provides navigation and emergency contact information as needed. The emotion engine also monitors the user's emotional state during the trip. If signs of anxiety or stress are detected, the server can take action to provide appropriate support.

[1334] Post-trip feedback collection

[1335] After the trip is over, the server will send a notification to the user requesting feedback. The user can provide feedback on their overall trip satisfaction and each activity through a feedback form, and the server will analyze this information and store it in a database, which will help further personalize their next trip plan and improve the user experience.

[1336] Specific examples

[1337] For example, suppose a user uses the system to plan a weekend trip. First, the user enters basic information and travel preferences on a registration screen. Based on this, the server suggests suitable destination candidates, and the user selects one. The emotion engine then analyzes the user's emotional state. If it recognizes that the user is tired, it suggests a relaxing activity (such as a spa or hot spring). The selected activity is booked by the server, and confirmation information is sent to the device. During the trip, the device supports the user in real time, and the emotion engine monitors the user's emotional state to provide additional support as needed. After the trip, the server collects feedback and incorporates it into the next travel plan.

[1338] Thus, the present invention is a system that provides a more personalized travel experience by taking into account the user's emotional state in addition to basic information and travel preferences.

[1339] The processing flow will be explained below.

[1340] Step 1:

[1341] A user visits the TravelWhiz Explorer website or app and opens the registration screen.

[1342] Step 2:

[1343] The user enters basic information such as name, contact information, travel preferences (relaxation, adventure, cultural experiences, etc.), budget range, and past travel history and submits.

[1344] Step 3:

[1345] The server receives the submitted basic information and travel preferences and stores them in a database to create a profile of the user.

[1346] Step 4:

[1347] Based on the user's profile information, the server uses an AI algorithm to select multiple possible destinations, taking into account factors such as weather, season, scenic spots, and historical data.

[1348] Step 5:

[1349] The server sends the selected destination candidates to the device, which then displays them to the user. Each destination includes a brief description, key attractions, and photos.

[1350] Step 6:

[1351] The user selects a destination from the proposed destination candidates.

[1352] Step 7:

[1353] Based on the selected destination, the server suggests activities (such as sightseeing visits, adventure tours, restaurant reservations, etc.) that match the user's travel style and budget.

[1354] Step 8:

[1355] The emotion engine analyzes user input and sensor data (such as facial recognition and voice tone analysis) to determine the user's emotional state.

[1356] Step 9:

[1357] The server uses data from the emotion engine to prioritize and suggest activities that correspond to the user's emotional state. For example, if the emotion engine determines that the user is tired, it will prioritize and suggest relaxing activities (e.g., spas, hot springs).

[1358] Step 10:

[1359] The user selects an activity that interests them from the presented activities and submits a reservation request.

[1360] Step 11:

[1361] The server receives the user's reservation request, works with the activity service provider to complete the reservation procedure, and sends confirmation information to the terminal once the reservation is complete.

[1362] Step 12:

[1363] Once the journey begins, the device provides real-time support to the user, using GPS to navigate from the current location to the destination.

[1364] Step 13:

[1365] The emotion engine monitors the user's emotional state during the trip, and if it detects signs of anxiety or stress, the server will take action, such as re-suggesting relaxing activities or providing emergency support.

[1366] Step 14:

[1367] After the trip is over, the server sends the user an email or a notification requesting their satisfaction with the entire trip and a rating for each activity.

[1368] Step 15:

[1369] The user fills out and submits the feedback form.

[1370] Step 16:

[1371] The server analyzes the collected feedback and stores it in a database, which is used to customize your next travel plan and improve the system.

[1372] Example 2

[1373] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1374] Conventional travel planning systems provide travel plans based on a user's basic information and travel preferences, but lack personalization that takes into account the user's emotional state. As a result, it is difficult to provide flexible travel plans that respond to the user's changing emotional state in real time, and it has been difficult to improve satisfaction during the trip.

[1375] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1376] In this invention, the server includes means for a user to input basic information and travel preferences, means for selecting candidate destinations based on the basic information and travel preferences, means for suggesting the candidate destinations to the user, means for suggesting and booking activities based on the destinations, means for supporting the user in real time during the trip, means for collecting feedback after the trip, means for recognizing and analyzing emotional states, and means for customizing activities based on the emotional states, thereby making it possible to provide a flexible travel plan that corresponds to the user's emotional states and improve satisfaction during the trip.

[1377] 1. "Means for users to input basic information and travel preferences" refers to the interface through which users input information into the system, such as their name, contact information, preferred travel style, budget, and past travel history.

[1378] 2. "Basic Information" refers to personally identifiable information such as a user's name, contact information, and date of birth.

[1379] 3. "Travel preferences" refers to information such as the user's preferred travel style, purpose, budget, and past travel history.

[1380] 4. "Means for selecting potential destinations" refers to the AI ​​algorithms and analytical engines that select optimal travel destinations based on the user's basic information and travel preferences.

[1381] 5. "AI algorithm" refers to artificial intelligence technology that analyzes large amounts of data and learns patterns to derive optimal results.

[1382] 6. "Means for suggesting destination candidates to the user" refers to an interface that presents information about selected destinations to the user and prompts them to make a selection.

[1383] 7. "Activity suggestion and booking mechanism" refers to a system that further customizes a user's travel plans based on selected destinations and makes reservations on their behalf.

[1384] 8. "Means of providing real-time support to users while traveling" refers to functions that provide necessary information and support according to the user's current location and situation while traveling.

[1385] 9. "Means for collecting feedback" refers to the procedures for collecting opinions from users after the trip, such as satisfaction and areas for improvement.

[1386] 10. "Means for recognizing and analyzing emotional state" means a system for determining a user's current emotional state, such as by using facial recognition or voice analysis of the user.

[1387] 11. "Means for customizing activities based on emotional state" refers to a mechanism for selecting and suggesting optimal activities based on the user's emotional state.

[1388] The present invention is a system that recognizes a user's emotional state in addition to basic information and travel preferences, and provides a customized travel plan at each step. This system operates in cooperation with each element: server, terminal, user, and emotion engine.

[1389] Hardware and software used

[1390] Hardware: Internet-connected devices (PCs, smartphones, tablets)

[1391] Software: websites or mobile applications, facial recognition software, voice tone analysis software, AI algorithms (e.g., TensorFlow, PyTorch)

[1392] User registration and profile settings

[1393] When a user first accesses the system, the server prompts the user to enter basic information and travel preferences, including name, contact information, travel style (relaxed, adventurous, cultural, etc.), budget, and past travel history. This information is then stored in a database by the server, creating a personalized profile.

[1394] Destination Selection

[1395] The server uses AI algorithms to select the best possible destinations based on the user's basic information and travel preferences. Candidate locations are selected taking into account factors such as weather, season, tourist attractions, and past data. The results are then presented to the user via their device.

[1396] Emotional state analysis using emotion engine

[1397] The emotion engine analyzes user input data and sensor data (e.g., facial recognition, voice tone analysis) to determine the user's emotional state. For example, if stress is detected, it will suggest relaxing activities. The analysis results are sent to the server.

[1398] Activity suggestions and bookings

[1399] The server then suggests the most suitable activity based on the selected destination and the user's emotional state. Once the user selects a suggested activity, the server handles the reservation process and sends confirmation information to the terminal.

[1400] Real-time support during your trip

[1401] Once the trip begins, the device tracks the user's current location via GPS and provides navigation and emergency contact information as needed. The emotion engine also monitors the user's emotional state in real time, and if stress or anxiety is detected, the server provides appropriate support.

[1402] Post-trip feedback collection

[1403] After the trip, the server sends a feedback request to the user. When the user enters their satisfaction with the trip and their evaluation of each activity in the feedback form, the server collects the data and uses it to plan their next trip.

[1404] Specific examples

[1405] For example, when a user plans a weekend trip, they first enter their basic information and travel preferences. The server then suggests potential destinations based on this information, and the user selects one. The emotion engine then analyzes the user's emotional state and suggests a spa or hot spring if it determines that relaxation is needed. Once the reservation is complete, confirmation information is sent to the device. During the trip, the device provides real-time support and navigation as needed. After the trip is over, the server collects feedback and incorporates it into the next trip.

[1406] Prompt Sentence Examples

[1407] 1. Register your basic information (name, contact information, etc.) and travel preferences (e.g., relaxation, adventure, etc.).

[1408] 2. Based on your registration information, we will suggest the best travel destinations for you.

[1409] 3. Analyze your current emotional state and suggest travel activities based on the results.

[1410] 4. If you select a proposed activity, please book it on your behalf and provide your confirmation information.

[1411] The above is an embodiment of the present invention.

[1412] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1413] Step 1: Register and set up your profile

[1414] A user visits a website or application and enters basic information (such as name, contact information, and date of birth) and travel preferences (such as relaxation, adventure, or cultural experiences).

[1415] Input: User's basic information and travel preferences

[1416] Action: Enter data into the form and click the submit button.

[1417] The server receives this and stores it in a database.

[1418] Output: An individual profile for the user is created in the database.

[1419] Step 2: Select a destination

[1420] The server uses AI algorithms to select the best possible destinations based on the user's basic information and travel preferences.

[1421] Input: User's basic information, travel preferences

[1422] How it works: Retrieves user information from a database and analyzes it using AI algorithms (e.g., TensorFlow, PyTorch), taking into account weather, seasons, tourist attractions, historical data, etc.

[1423] Output: Generate a list of optimal destination candidates and send it to the device.

[1424] Step 3: Propose potential destinations

[1425] The terminal presents the destination candidates received from the server to the user.

[1426] Input: A list of destination candidates sent from the server

[1427] What it does: Displays detailed information (description, attractions, photos) about a potential destination in a user interface.

[1428] Output: The user reviews the destination options and makes a selection.

[1429] Step 4: Analyze emotional state

[1430] The emotion engine analyzes user input data and sensor data (e.g., facial recognition, voice tone analysis) to determine the current emotional state.

[1431] Input: User's face image data, voice data

[1432] What it does: Analyzes emotional state using facial recognition and tone analysis software.

[1433] Output: Send emotional state data (e.g., stressed, relaxed, excited, etc.) to the server.

[1434] Step 5: Suggest and book an activity

[1435] The server suggests activities to the user based on the emotional state data and the selected destination. Once the user selects an activity, the server handles the booking process and sends confirmation to the terminal.

[1436] Input: Emotional state data, selected destination

[1437] Action: Based on this, an activity list is generated and presented to the user. The activities selected by the user are sent to the booking system and the booking is confirmed.

[1438] Output: Reservation confirmation information is sent to the terminal.

[1439] Step 6: Real-time support during your trip

[1440] Once the trip begins, the device will track the user's current location via GPS and provide navigation and emergency contact information as needed. The emotion engine will also monitor the user's emotional state in real time, and if stress or anxiety is detected, the server will provide appropriate support.

[1441] Input: User's GPS data, emotional state data

[1442] What it does: Receives GPS data to track your location, provides navigation instructions and emergency contact information when needed, and monitors your emotional state in real time.

[1443] Output: Navigation information, support information if anxiety or stress is detected.

[1444] Step 7: Collect post-trip feedback

[1445] After the trip, the server sends a feedback request to the user, who provides feedback on their satisfaction with the trip and their ratings for each activity. The server then collects this data and uses it to plan their next trip.

[1446] Input: User feedback data (satisfaction, activity rating)

[1447] What it does: Sends a feedback form to the user, stores their responses in a database and analyzes them.

[1448] Output: Improved future trip planning based on feedback data.

[1449] (Application example 2)

[1450] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1451] Current shopping assistant systems suggest products without considering the user's emotional state, which can result in products that do not match the user's mood or emotions. This can make it difficult to stimulate the user's purchasing motivation and can reduce satisfaction. There is a need to solve this problem and provide more personalized product suggestions based on the user's emotional state.

[1452] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for a user to input basic information and travel preferences, means for selecting destination candidates based on the basic information and travel preferences, means for suggesting the destination candidates to the user, means for suggesting and booking activities based on the destinations, means for supporting the user in real time during the trip, means for collecting feedback after the trip, and means for recognizing the user's emotional state and suggesting personalized products and services based on the recognition. This makes it possible to provide products and services that are optimal for the user's emotional state.

[1453] A "user" is an entity that uses the system and is an individual or organization that inputs basic information and travel preferences.

[1454] "Basic Information" is basic data about the user, such as the user's name, contact information, travel preferences, budget, and past travel history.

[1455] "Travel preferences" is information about the style and activities that the user prefers when traveling, such as relaxation, adventure, or cultural experiences.

[1456] "Destination candidates" are travel destination candidates selected by the server based on the user's basic information and travel preferences.

[1457] "Activities" refer to events and experiences that users can participate in at their travel destination, and can range from sightseeing, sports, and relaxation.

[1458] "Emotional state" refers to the user's current mood or psychological state, and is information determined by methods such as facial recognition or voice tone analysis.

[1459] "Personalization" is the process of optimizing the services and products offered based on a user's individual attributes and preferences.

[1460] "Real-time support" is a function that provides immediate assistance and information in response to various situations that users may encounter while traveling.

[1461] "Feedback" refers to information provided by a user after completing a trip, such as satisfaction with the entire trip and evaluation of each activity.

[1462] An "emotion recognition engine" is a technology that evaluates a user's emotional state using methods such as facial recognition and voice tone analysis, and feeds the results back to the system.

[1463] The present invention is a system that recognizes a user's emotional state in addition to their basic information and travel preferences, and provides customized travel plans and shopping suggestions at each step based on that.

[1464] System configuration

[1465] This system operates through interaction between the server, the terminal, and the emotion recognition engine. Specifically, it uses the following hardware and software:

[1466] Server: Manages the database, runs AI algorithms, generates travel plans and product recommendations.

[1467] Terminal: A smartphone or smart glasses is used as the user interface, and information is exchanged between the user and the server.

[1468] Emotion Recognition Engine: Recognizes the user's emotional state using facial recognition libraries such as DeepFace and voice tone analysis software.

[1469] User registration and profile settings

[1470] When a user first accesses a website or application, the server prompts the user to enter basic information and travel preferences, which then stores information such as name, contact information, preferred travel style, budget, and past travel history in a database to create a personalized profile for the user.

[1471] Destination selection and proposal

[1472] The server uses an AI algorithm to select the most suitable destination candidates based on the user's basic information and travel preferences. These candidates are selected based on many factors, including weather, season, tourist attractions, and past data. The results are presented to the user via their device, and the user can view detailed information about each candidate.

[1473] Emotion engine determines emotional state

[1474] The emotion recognition engine analyzes user input and sensor data (e.g., facial recognition, voice tone analysis) to determine the user's emotional state. For example, if the user is feeling stressed, the emotion recognition engine can suggest more relaxing activities or products.

[1475] Activity suggestions and bookings

[1476] The server then suggests activities that reflect the user's emotional state based on the selected destination, reserves the selected activity, and sends confirmation information to the device.

[1477] Real-time support during your trip

[1478] Once the trip begins, the device provides real-time support to the user. The device uses GPS to track the user's current location and provides navigation and emergency contact information. An emotion recognition engine also monitors the user's emotional state during the trip, and if signs of stress are detected, the server will provide appropriate support.

[1479] Post-trip feedback collection

[1480] After the trip is over, the server will send a notification to the user requesting feedback. The user can provide feedback through a feedback form to rate their overall trip satisfaction and each activity. The server will then analyze this information and store the data in a database, which will help further personalize their next trip and improve the user experience.

[1481] Examples of shopping suggestions

[1482] For example, when a user visits a supermarket, a smartphone camera performs facial recognition and an emotion recognition engine determines the user's emotional state. If the user is feeling stressed, the server will suggest relaxing goods and foods. If the user is feeling happy, the server will suggest entertainment products.

[1483] Example prompt sentence:

[1484] "When users feel stressed, we suggest relaxation products."

[1485] "When users feel happy, we suggest entertainment products."

[1486] In this way, the present invention provides a more personalized travel and shopping experience by taking into account the user's emotional state.

[1487] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1488] Step 1:

[1489] The user enters basic information and travel preferences.

[1490] Input: Name, contact information, travel preferences (relaxation, adventure, cultural experiences, etc.), budget, and past travel history.

[1491] Process: The user uses a device (smartphone or smart glasses) to enter basic information and travel preferences, which are then sent to the server.

[1492] Output: The server creates and stores the user's individual profile in a database.

[1493] Step 2:

[1494] The server selects destination candidates.

[1495] Input: User's basic information and travel preferences.

[1496] Processing: The server uses AI algorithms to calculate the best possible destinations based on many factors, including weather, season, tourist attractions, and historical data.

[1497] Output: Generate a list of selected destination candidates and send it to the device.

[1498] Step 3:

[1499] The server suggests destination candidates to the user.

[1500] Input: A list of potential destinations.

[1501] Processing: The server presents detailed information about the destination candidates (descriptions, tourist spots, photos, etc.) to the user via the terminal.

[1502] Output: The device displays detailed information about the potential destination to the user.

[1503] Step 4:

[1504] An emotion recognition engine determines the user's emotional state.

[1505] Input: User's facial photo and voice data.

[1506] Processing: The emotion recognition engine analyzes the emotional state using the DeepFace library and voice tone analysis software.

[1507] Output: Determine the user's current emotional state (e.g., stress, happiness) and send it to the server.

[1508] Step 5:

[1509] The server proposes and schedules activities.

[1510] Input: User's emotional state, selected destination.

[1511] Processing: The server selects and prioritizes activities that reflect the user's emotional state, reserves the selected activity, and generates a confirmation.

[1512] Output: Sends reservation confirmation information to the terminal.

[1513] Step 6:

[1514] The device provides real-time support during the journey.

[1515] Input: User's current location, booked activity, user's emotional state.

[1516] Processing: The device uses GPS to track the user's location and provides navigation and emergency contact information as needed. The emotion recognition engine monitors the user's emotional state, and the server provides appropriate support.

[1517] Output: Display real-time navigation information and support messages to the user.

[1518] Step 7:

[1519] The server collects post-trip feedback.

[1520] Inputs: Satisfaction and ratings for each activity entered into the feedback form.

[1521] Processing: The server collects the feedback information and stores it in a database. It then analyzes the data to help plan your next trip.

[1522] Output: Analyze the feedback data and use it to plan your next trip.

[1523] Through these steps, the present invention provides personalized travel experiences and shopping suggestions that take into account the user's emotional state.

[1524] 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 control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1525] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1526] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1527] The emotion identification model 59 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 an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1528] FIG. 9 illustrates an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and behaviors arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1529] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1530] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1531] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1532] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs 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 a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1533] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1534] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1535] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1536] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1537] 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.

[1538] It is not necessary to store all 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 all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1539] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1540] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with 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). Also, the hardware resource that executes the specific processing may be a single processor.

[1541] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1542] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1543] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1544] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1545] The following is further disclosed regarding the above embodiment.

[1546] (Claim 1)

[1547] a means for the user to input basic information and travel preferences;

[1548] means for selecting potential destinations based on the basic information and travel preferences;

[1549] means for suggesting the destination candidates to a user;

[1550] means for suggesting and booking activities based on said destination;

[1551] a means of providing real-time user support during the journey;

[1552] a means of collecting post-trip feedback;

[1553] A system including:

[1554] (Claim 2)

[1555] The system of claim 1, wherein the means for selecting the destination candidates utilizes an AI algorithm.

[1556] (Claim 3)

[1557] 10. The system of claim 1, wherein the real-time support means includes means for providing navigation based on a user's current location.

[1558] "Example 1"

[1559] (Claim 1)

[1560] a means for the user to input basic information and travel preferences;

[1561] means for selecting potential destinations based on the basic information and travel preferences;

[1562] means for suggesting the destination candidates to a user;

[1563] means for suggesting and booking activities based on said destination;

[1564] a means of providing real-time user support during the journey;

[1565] a means of collecting post-trip feedback;

[1566] A system including:

[1567] (Claim 2)

[1568] 10. The system of claim 1, wherein the means for selecting the potential destinations utilizes an artificial intelligence algorithm.

[1569] (Claim 3)

[1570] 10. The system of claim 1, wherein the real-time support means includes means for providing navigation based on a user's current location.

[1571] (Claim 4)

[1572] 10. The system of claim 1, wherein the means for inputting the user's basic information and travel preferences comprises a web interface or application accessible via the Internet.

[1573] (Claim 5)

[1574] 10. The system of claim 1, wherein the means for reserving an activity includes means for making a reservation using an application programming interface of a third-party reservation system.

[1575] (Claim 6)

[1576] 10. The system of claim 1, wherein the means for collecting post-trip feedback includes means for sending a feedback form to the user via email or application notification, and means for storing and analyzing the feedback in a database based thereon.

[1577] "Application Example 1"

[1578] (Claim 1)

[1579] a means for the user to input basic information and travel preferences;

[1580] means for selecting potential destinations based on the basic information and travel preferences;

[1581] means for suggesting the destination candidates to a user;

[1582] means for suggesting and booking activities based on said destination;

[1583] a means of providing real-time user support during the journey;

[1584] a means of collecting post-trip feedback;

[1585] means installed in the infotainment system;

[1586] a means for the user to input basic information and travel preferences using voice recognition or a touch screen;

[1587] means for providing navigation during a journey using GPS;

[1588] A way to use generative AI models to customize your next travel itinerary based on your feedback; and

[1589] A system including:

[1590] (Claim 2)

[1591] 10. The system of claim 1, wherein the means for selecting potential destinations is capable of analyzing a user profile using a generative AI model.

[1592] (Claim 3)

[1593] 10. The system of claim 1, wherein the real-time support means is capable of utilizing a generative AI model to provide support during the journey.

[1594] "Example 2: Combining Emotion Engines"

[1595] (Claim 1)

[1596] a means for the user to input basic information and travel preferences;

[1597] means for selecting potential destinations based on the basic information and travel preferences;

[1598] means for suggesting the destination candidates to a user;

[1599] means for suggesting and booking activities based on said destination;

[1600] a means of providing real-time user support during the journey;

[1601] a means of collecting post-trip feedback;

[1602] a means for recognizing and analyzing emotional states;

[1603] means for customizing an activity based on said emotional state;

[1604] A system including:

[1605] (Claim 2)

[1606] The system of claim 1, wherein the means for selecting the destination candidates utilizes an AI algorithm.

[1607] (Claim 3)

[1608] 10. The system of claim 1, wherein the real-time support means includes means for providing navigation based on a user's current location.

[1609] "Application example 2 when combining emotion engines"

[1610] (Claim 1)

[1611] a means for the user to input basic information and travel preferences;

[1612] means for selecting potential destinations based on the basic information and travel preferences;

[1613] means for suggesting the destination candidates to a user;

[1614] means for suggesting and booking activities based on said destination;

[1615] a means of providing real-time user support during the journey;

[1616] a means of collecting post-trip feedback;

[1617] a means for recognizing a user's emotional state and suggesting personalized products and services based thereon;

[1618] A system including:

[1619] (Claim 2)

[1620] The system of claim 1, wherein the means for selecting the destination candidates utilizes an AI algorithm.

[1621] (Claim 3)

[1622] 10. The system of claim 1, wherein the real-time support means includes means for providing navigation based on a user's current location. [Explanation of symbols]

[1623] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. a means for the user to input basic information and travel preferences; means for selecting potential destinations based on the basic information and travel preferences; means for suggesting the destination candidates to a user; means for suggesting and booking activities based on said destination; a means of providing real-time user support during the journey; a means of collecting post-trip feedback; A system including:

2. The system according to claim 1 , wherein the means for selecting the destination candidates utilizes an AI algorithm.

3. The system of claim 1 , wherein the real-time support means includes means for providing navigation based on a user's current location.

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