system

Abstract

We provide the system. [Solution] An information processing device for providing tourist destination information to visitors, A means of entering user profile information in multiple languages, A means of generating travel plans based on user interests, A network connection method for obtaining information necessary for travel planning, A means to display the generated plan and accept changes from the user, A system that includes means for providing additional information in cooperation with other information processing devices.

Description

Technical Field

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

Background Art

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] Problems faced by foreign tourists visiting Japan include stress during travel due to language barriers and cultural differences. In addition, overseas communication environments and applications not functioning well enough in Japan are hindering the smooth progress of travel. There is also a problem that it is difficult to obtain immediate information regarding local rules at the travel destination and responses in case of emergencies, and thus it is impossible to fully enjoy Japan.

Means for Solving the Problems

[0005] This invention solves these problems by providing an information processing device that provides tourist information to visitors in multiple languages. This device has means for inputting user profiles in multiple languages ​​and means for generating travel plans based on the user's interests. It also has means for collecting necessary tourist information via a network and provides an interface for accepting changes to the generated plan. Furthermore, it cooperates with other information processing devices to provide additional information and provides real-time support regarding local rules and emergency procedures during travel, thereby enabling visitors to enjoy their trip with peace of mind.

[0006] An "information processing device" is a mechanical or electrical device used for inputting, processing, and outputting data.

[0007] "Multilingualism" refers to the functionality and characteristics that allow for handling multiple different words or languages.

[0008] "User profile information" refers to personal information and settings information about individual users, and is data that the system uses to provide services individually.

[0009] "Means for generating travel plans" refers to technologies that have the function of planning and suggesting appropriate tourist destinations and activities according to the user's interests and objectives.

[0010] "Network connection means" refers to an interface for accessing external databases and services via the internet or a local network, and for retrieving or transmitting information.

[0011] "Cooperation with other information processing devices" means that multiple information processing devices function and operate collaboratively through communication and data sharing. [Brief explanation of the drawing]

[0012] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14] This is a sequence diagram showing the processing flow of the data processing system in Application Example 2, which combines an emotion engine. [Modes for carrying out the invention]

[0013] Hereinafter, an example of an embodiment of the system relating to the technology of this disclosure will be described with reference to the attached drawings.

[0014] First, the terms used in the following description will be explained.

[0015] In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0016] In the following embodiments, the numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0017] In the following embodiments, the numbered storage is one or more non-volatile storage devices that store various programs, various parameters, and the like. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes.

[0018] In the following embodiments, the numbered communication I / F (Interface) is an interface including a communication processor, an antenna, and the like. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0019] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0020] [First Embodiment]

[0021] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0022] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0023] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0024] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0025] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0026] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0027] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0028] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0029] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0030] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0031] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0032] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0033] One possible embodiment of this invention is to install a specific application on the mobile device used by the visitor. The server receives the visitor's profile information and provides functionality to support input in multiple languages. The user can input tourist attractions and experiences on their device based on their interests and travel purposes.

[0034] Next, the server processes this input information and generates a travel plan optimized for the user. This plan generation process utilizes network connectivity to obtain the latest data from numerous travel information sources. The generated plan is sent to the terminal, where the user can view its details on the screen. An interface is also provided that allows the user to customize the plan as needed.

[0035] This system also has the ability to integrate with other information processing devices, for example, to integrate restaurant reservations and payments with popular local services. For instance, if a user makes a restaurant reservation using a local restaurant reservation application, the terminal automatically retrieves the related information.

[0036] For example, if a user sets their preference to visit historical sites during their trip to Tokyo, the server will select prominent historical tourist spots in Tokyo and plan an efficient route to visit them. Furthermore, local rules and precautions for each tourist spot are provided in multiple languages, allowing users to enjoy sightseeing with peace of mind. In case of problems, the system enables two-way communication via the terminal, allowing for real-time support.

[0037] In this way, visitors can enrich their travel experience in Japan without feeling any language or cultural differences.

[0038] The following describes the processing flow.

[0039] Step 1:

[0040] The server receives a user registration request and generates a list of available languages.

[0041] Step 2:

[0042] The terminal displays a list of languages ​​received from the server to the user and provides an interface for the user to select their preferred language.

[0043] Step 3:

[0044] The user enters basic profile information (name, nationality, travel purpose, etc.) in their chosen language, and the device sends that information to the server.

[0045] Step 4:

[0046] Based on the received profile information, the server initiates a process to generate travel plans tailored to the user's interests, collecting data from numerous tourism information sources.

[0047] Step 5:

[0048] The terminal presents the user with a pre-generated travel plan sent from the server and displays a screen for the user to confirm the plan.

[0049] Step 6:

[0050] Users review the displayed travel plan and modify or add activities as desired. At the same time, they also review any local rules or notes related to the plan.

[0051] Step 7:

[0052] The server receives plan change information from the user, optimizes the plan again based on that information, and sends the updated information back to the terminal.

[0053] Step 8:

[0054] The terminal works in conjunction with other information processing devices to retrieve information from necessary local applications (e.g., restaurant reservation and payment apps) and complement the user's travel experience.

[0055] Step 9:

[0056] If users encounter problems during their trip, they can submit support requests via their device and receive real-time solutions.

[0057] Step 10:

[0058] The server provides solutions and guidance in response to support requests from users, and offers further support as needed.

[0059] (Example 1)

[0060] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0061] There is a need to solve the problem of visitors to tourist destinations being unable to efficiently obtain local tourist information due to language and cultural barriers. Furthermore, visitors need a system that allows them to easily customize their travel plans based on their interests and seamlessly integrate with local services.

[0062] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0063] In this invention, the server includes means for inputting and transmitting multilingual user profile information via a terminal, means for using a generative AI model to generate a travel plan based on the user's interests and purposes, and communication means for obtaining the necessary tourist information for the plan. This overcomes language and cultural constraints, provides travel plans tailored to diverse interests, and enables a smooth tourist experience integrated with local services.

[0064] "Multilingual support" is a feature that allows users who speak different languages ​​to use the same system.

[0065] "User profile information" refers to a collection of data that the system needs, such as the user's personal information, interests, and travel purposes.

[0066] A "generative AI model" is an artificial intelligence technology that automatically generates optimized travel plans based on input data.

[0067] "Communication means" refers to the function of sending and receiving data between a server and a terminal using a network.

[0068] "User interface means" refers to screens and control panels that allow users to access, operate, and input information into a system.

[0069] "Integrating with other information processing devices" means linking data with different systems and devices and unifying their functions.

[0070] "Local rules and precautions" refer to regulations and safety precautions specific to a particular tourist destination or region.

[0071] "Support methods" refer to functions that receive inquiries from users in real time and assist in resolving problems.

[0072] One possible embodiment of this invention is to install a multilingual tourism support application on a mobile device used by visitors.

[0073] Program installation and user profile configuration

[0074] Users download a dedicated application to their device via a communication network. The application features a multilingual interface for handling different natural languages, and after launching the application, users enter profile information such as their personal interests and travel purposes. This information is stored in a database and sent to the server.

[0075] Creating a travel plan

[0076] The server automatically creates a travel plan using a generative AI model based on the received user information. This generative AI model extracts useful information from a large amount of data about tourist destinations and provides a plan optimized for the user's interests and schedule. For example, if a user inputs "I want to visit historical tourist spots in Tokyo," the AI ​​model will plan a route that efficiently visits historical spots in Tokyo.

[0077] Plan distribution and adjustment

[0078] The terminal displays the travel plan sent from the server on its screen. Users can review this plan and adjust it according to their preferences. For example, they can change the places they want to visit or fine-tune the schedule through the interface.

[0079] Collaboration with local services

[0080] The server integrates with other information processing devices and coordinates with local services. This allows users to smoothly manage things like meal reservations and transportation information at their destination. For example, meal reservation information can be automatically added to the travel plan and made available for the user to review.

[0081] Real-time support in case of trouble

[0082] The terminal provides a means for users to communicate immediately with the server if they encounter any problems. The server can quickly provide solutions to the inquiries it receives, reducing anxiety during travel.

[0083] Thus, the present invention makes it possible to provide users with a personalized and enriching travel experience without them feeling any barriers to foreign culture or language.

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

[0085] Step 1:

[0086] Application download and installation

[0087] Users download and install tourism support applications to their mobile devices via the communication network.

[0088] Input: Access the application store.

[0089] Output: The application is installed on the terminal.

[0090] Specific action: The user opens the application store on their device, searches for the app, and clicks "Install".

[0091] Step 2:

[0092] Entering user profile information

[0093] The user launches the application and enters profile information such as their interests, travel purpose, and preferred language.

[0094] Input: User's personal information and travel preferences.

[0095] Output: User profile data sent to the server.

[0096] Specific actions: The user follows the instructions within the app, enters the required information, and creates a profile.

[0097] Step 3:

[0098] Sending and analyzing profile information

[0099] The device sends the entered profile information to the server. The server analyzes this information and organizes the data based on the user's preferences.

[0100] Input: Profile information sent from the device.

[0101] Output: Analyzed user interest and purpose data.

[0102] Specific operation: The terminal sends information to the server via the internet, and the server stores it in a database.

[0103] Step 4:

[0104] Creating a travel plan

[0105] The server uses a generative AI model to create the optimal travel plan for the user. This model has the capability to select the best route based on the user's interests, using a large amount of tourist information.

[0106] Input: Analyzed user interest and purpose data.

[0107] Output: User-optimized travel plan data.

[0108] Specific operation: The server utilizes AI models to collect and analyze information on tourist destinations from large datasets and generate plans.

[0109] Step 5:

[0110] View and customize your travel plan

[0111] The terminal displays the travel plan received from the server on the screen. The user views the displayed plan and customizes it as needed.

[0112] Input: Travel plan data from the server.

[0113] Output: User-customized travel plan.

[0114] Specific actions: Users scroll through plans within the app and perform actions such as editing, deleting, and adding.

[0115] Step 6:

[0116] Collaboration with local services

[0117] The terminal integrates with other information processing devices to manage reservations for meals and transportation at the destination.

[0118] Input: Booking and schedule information obtained from local services.

[0119] Output: Integrated overall travel schedule.

[0120] Specific operation: The app uses the API of the relevant service to automatically retrieve reservation information.

[0121] Step 7:

[0122] Real-time support

[0123] When a user encounters a problem, they can query the server via their device, and the server will provide a solution in real time.

[0124] Input: Support request from a user.

[0125] Output: Specific instructions or guidance for solving a problem.

[0126] Specific operation: The user presses the support button within the app to submit an inquiry, and the server provides an immediate response.

[0127] (Application Example 1)

[0128] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0129] Visitors often face language barriers and difficulties in creating efficient travel plans when sightseeing in different cultural spheres. Furthermore, obtaining appropriate information in real time during their visits is challenging, highlighting the need for flexible information tailored to individual needs. The challenge lies in solving these problems and providing a system that enables visitors to experience more comfortable and fulfilling travel.

[0130] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0131] In this invention, the server includes means for inputting user profile information in multiple languages, means for generating travel plans based on user interests, means for network connectivity to acquire information necessary for the travel plan, means for displaying the generated plan and accepting user modifications, means for providing additional information in cooperation with other information processing devices, means for speech recognition to recognize the user's voice and provide guidance based on voice instructions, and means for providing tourist destination information using a generation AI model. As a result, visitors can obtain optimal travel plans based on their individual interests in real time without experiencing language barriers.

[0132] "Visitors" refer to people who visit tourist destinations or specific locations, and their purposes can vary widely, including travel, sightseeing, and business.

[0133] An "information processing device" is an electronic device used for inputting, processing, storing, and outputting data, and includes computers, servers, and smartphones.

[0134] "User profile information" is a collection of attribute data about individual users, such as their interests, purposes, and language, and is used to enable the provision of services based on individual needs.

[0135] A "travel plan" refers to a specific plan of destinations, sightseeing spots, activities, etc., suggested based on the user's interests and objectives, and is created to provide the optimal travel experience.

[0136] "Network connection means" refers to a device or function that sends and receives information via the Internet or other communication networks, enabling real-time acquisition and transmission of data.

[0137] "Multilingual" refers to supporting multiple languages, with the aim of facilitating smooth information exchange and service provision among users who speak different languages.

[0138] "Speech recognition means" refers to technology that allows a computer to understand spoken language, and is a device or software that converts voice input into text or commands.

[0139] A "generative AI model" is a machine learning model generated using artificial intelligence technology, and is used for advanced processing such as natural language processing and image recognition.

[0140] This system utilizes speech recognition technology and generative AI models to provide tourist information to visitors. First, users can input profile information via a smart device or robotic device. This profile information includes the user's interests, purpose of visit, and language, and the system uses this information to suggest an optimized travel plan.

[0141] The server is equipped with speech recognition capabilities to receive user voice commands, including speech analysis functions using Google® Cloud Speech-to-Text. This converts the user's voice into text and recognizes it as an appropriate command. Next, the server uses a generative AI model to generate multilingual tourist information. Specifically, OpenAI® GPT is used as the AI ​​model, which enables the generation of tourist information in natural language tailored to the user's interests.

[0142] The generated travel plan is sent to the user's device and updated in real time with the latest information via a network connection. The user can also review and modify this plan on their device. Furthermore, this system can integrate with other information processing devices to incorporate local service information used by the user, specifically facilitating the smooth arrangement of meal reservations and payments at the destination.

[0143] For example, if a user prompts with "I want to visit museums in Paris," the system will gather information on museums near Paris and provide the user with an efficient order of visits and important notes. "Example prompt: Create an optimal route based on the visitor's interests to visit museums in Paris, and present relevant information in multiple languages."

[0144] This provides a system that allows visitors to enjoy a fulfilling travel experience even in different cultural spheres.

[0145] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0146] Step 1:

[0147] Users enter profile information using a device. This input includes data such as interests, travel purpose, and preferred language. The device sends this information to a server, which then receives it to create an individual user profile.

[0148] Step 2:

[0149] The server uses speech recognition to acquire the user's voice input. Specifically, it uses Google Cloud Speech-to-Text to convert the speech into text data. In this process, the server takes the voice data as input and outputs the corresponding string to analyze the user's instructions.

[0150] Step 3:

[0151] The server utilizes a generative AI model to generate multilingual travel plans. It receives user profile information and voice commands as input, and uses OpenAI GPT for natural language processing to optimize tourist destinations and routes, and generate guidance information. As a result, a personalized travel plan is output.

[0152] Step 4:

[0153] The server transmits the generated travel plan to the terminal via the network. The terminal displays this plan and provides an interface that allows the user to interactively view and modify it. The plan is also synchronized with the latest tourist information in real time.

[0154] Step 5:

[0155] The user reviews the plan and makes meal reservations and payments as needed. The terminal sends these operations to the server, which then works with other information processing devices to retrieve and adjust the necessary local service information. Finally, confirmation information and completion notifications are output to the user's terminal.

[0156] Step 6:

[0157] If a user encounters difficulties while sightseeing, they can use their device to make inquiries via voice or text. The server receives these inquiries, generates solutions in real time, and provides multilingual support using a generative AI model. As a result, users are provided with solutions immediately.

[0158] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0159] The system incorporating the emotion engine of the present invention is implemented by installing an application on the mobile device used by the visitor. This system has the function of recognizing the emotions the user feels during their trip and optimizing the travel plan based on that feedback. Specifically, it uses sensors and cameras in the device to determine the user's emotions from their facial expressions and tone of voice.

[0160] The server processes this emotional data in real time and suggests appropriate travel plans and services tailored to the user's situation. For example, if the server determines that the user is feeling stressed or dissatisfied, it will increase the options for relaxing activities and restaurants. If the user is feeling satisfied or happy, it may suggest more active plans.

[0161] The device also provides users with notifications based on their emotional changes during their trip. When users are feeling anxious, it immediately displays reassuring support information, including emergency guidance.

[0162] For example, if a user feels tired during their trip, the system will automatically adjust their schedule and recommend nearby cafes or rest spots. On the other hand, if the user shows excitement or curiosity, the system will suggest additional tourist destinations and event information to stimulate their further exploration.

[0163] In this way, the present invention can flexibly respond to the user's emotions and make the travel experience more individualized and enriching. By introducing an emotion engine, it becomes possible to not only provide a schedule but also to act as a travel partner based on the user's psychological state.

[0164] The following describes the processing flow.

[0165] Step 1:

[0166] When the app is launched, the device activates its sensors and camera, preparing to capture the user's facial expressions and voice.

[0167] Step 2:

[0168] When users log into the app and complete the initial travel setup, they are asked to allow the use of their camera and microphone.

[0169] Step 3:

[0170] The device uses an emotion recognition engine to acquire emotional data in real time from the user's facial expressions and tone of voice.

[0171] Step 4:

[0172] The server receives emotional data sent from the terminal, analyzes it, and identifies the user's current emotional state.

[0173] Step 5:

[0174] The server generates or adjusts the optimal travel plan for the user based on the analyzed sentiment data and sends it to the device.

[0175] Step 6:

[0176] The device presents the user with updated travel plans and provides information such as action suggestions and precautions.

[0177] Step 7:

[0178] Users can review new plans and proposals and make any necessary changes.

[0179] Step 8:

[0180] The server readjusts the plan in a timely manner using a similar process if the user's emotions change, maximizing the user's comfort during their trip.

[0181] Step 9:

[0182] The device displays emotionally-based recommendations and support alerts as needed, depending on the situation during the trip.

[0183] Step 10:

[0184] Users can utilize the suggested services and support information to reduce stress and anxiety, and improve their travel experience.

[0185] (Example 2)

[0186] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0187] During travel, there is a need to enhance visitors' psychological satisfaction while providing an optimal experience based on their individual emotional state. However, conventional systems have made it difficult for users to adjust their travel plans to reflect their emotions at any given time, resulting in a challenge in that the quality of the trip is not always improved.

[0188] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0189] In this invention, the server includes means for collecting user emotional information, means for analyzing the collected emotional information to determine the user's psychological state, and means for generating a personalized travel plan based on the analysis results. This makes it possible to optimize the travel experience in response to the user's emotions in real time.

[0190] "User emotional information" refers to data about a user's psychological state, based on their facial expressions and tone of voice, collected using sensors and cameras on mobile devices.

[0191] "Means of analyzing and determining the user's psychological state" refers to technical methods that use collected emotional information to process and identify the user's current emotions.

[0192] A "personalized travel plan" is a set of travel activities and suggested destinations that are customized based on the user's specific emotional data.

[0193] "Means of notification" refers to methods for informing the user of the generated travel plan, and typically involves providing information to the user through an application on their device.

[0194] "Means for collecting feedback and adjusting travel plans" refers to a mechanism for receiving opinions and feedback from users and using that to improve or change future travel plans.

[0195] "Network connectivity for processing emotional information in real time" refers to a communication infrastructure for transmitting emotional data collected immediately to a server for analysis.

[0196] "Methods for performing efficient data analysis using generative AI models" refer to technologies that use machine learning algorithms to analyze emotional information and perform highly accurate user emotion estimation.

[0197] To implement this invention, the user must first install a dedicated application on their mobile device. This device is equipped with sensors such as a camera and microphone, which are used to collect emotional information such as the user's facial expressions and voice tone. For example, if the device detects the user's smile, it is determined to be joy or satisfaction.

[0198] The collected emotional information is sent from the terminal to the server. The server analyzes this emotional information using a generative AI model. Specifically, it employs deep learning algorithms to quickly and accurately determine the user's psychological state.

[0199] Based on the analysis results, the server generates a personalized travel plan. This plan includes recommendations for destinations and activities optimized according to the user's emotions. For example, if the server determines that the user is stressed, relaxing places and activities will be recommended.

[0200] The generated travel plan is notified to the user via their device. Based on this information, the user can select the next steps in their trip. Furthermore, user feedback is collected and analyzed on the server and reflected in future travel suggestions. For example, by entering a prompt such as "I want to relax, where would be a good place?", a more suitable plan will be suggested.

[0201] In this way, this invention provides an optimal travel experience that responds to the user's real-time emotional state, thereby improving overall travel satisfaction.

[0202] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0203] Step 1:

[0204] The device uses its built-in camera and microphone to collect the user's facial expressions and voice tone in real time. This emotional information becomes the input. Specifically, it detects when the user is smiling at the camera or when their voice is getting higher. This raw emotional data is then generated as the output.

[0205] Step 2:

[0206] The device sends the collected emotional data to the server. The data is encrypted and handled securely during transmission. Here, emotional data is taken as input, and this data is sent to the server via a secure communication protocol (e.g., HTTPS), placing the data awaiting processing.

[0207] Step 3:

[0208] The server analyzes the received emotional data using a generating AI model. In this step, the AI ​​model uses the received emotional data as input to infer the user's emotional state. For example, if the user's tone of voice rises, it will be output as a positive emotion.

[0209] Step 4:

[0210] The server generates a personalized travel plan based on the analysis results. It takes emotional states as input and creates an optimal plan tailored to the user's current psychological state. For example, if it's inferred that the user needs relaxation, a list of relaxing spots will be output.

[0211] Step 5:

[0212] The server sends the generated travel plan to the terminal, and the terminal notifies the user. Receiving the travel plan from the server as input, the terminal displays a pop-up notification on the user's display. This ensures that the generated plan is displayed in a way that is visible to the user.

[0213] Step 6:

[0214] After the user acts based on the displayed travel plan, they send feedback to the server via their device. The server receives the user's feedback as input, aggregates this information, and outputs it to be used in the next travel plan cycle. This feedback forms the basis for creating the next plan.

[0215] (Application Example 2)

[0216] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0217] During travel, users often follow generic travel plans without receiving services or information tailored to their individual emotional states. As a result, users' travel experiences are uniform and fail to adequately address their individual needs and emotions. To solve this problem, it is necessary to reflect users' real-time emotional states and provide appropriate suggestions based on them.

[0218] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0219] In this invention, the server includes means for analyzing emotional data and making personalized suggestions based on the user's emotional state, means for notifying and making suggestions to consumers according to the user's emotions, and means for processing the user's emotional data in real time. This makes it possible to provide personalized travel experiences and services that are tailored to the user's psychological state.

[0220] "Visitor" refers to an individual who uses a service during a trip or visits a tourist destination.

[0221] "Tourist information" refers to information about places that travelers can visit and the surrounding tourist attractions.

[0222] An "information processing device" refers to an electronic device that has the function of receiving data, processing it, and providing results.

[0223] "Multilingual user characteristics information" refers to data that expresses a user's personal information, interests, and preferences in multiple languages.

[0224] "User interest" refers to the interest or curiosity that users have towards specific activities or places.

[0225] "Generating travel plans based on emotions" refers to creating the optimal travel itinerary by taking into account the user's emotional state at that time.

[0226] "Communication connection means" refers to connection methods and technologies for sending and receiving data with other devices.

[0227] A "travel plan" refers to a plan that outlines the schedule and places to visit for a user during their trip.

[0228] "Means for accepting changes" refers to a function that reflects changes made by the user when they modify their original schedule.

[0229] "Collaborating with other information processing devices" refers to communicating with another computer or device and processing information together.

[0230] "Emotional data" refers to data that represents a user's emotional state using numerical values ​​or indicators.

[0231] "Personalized suggestions" refer to customized suggestions and recommendations provided based on the individual needs and feelings of the user.

[0232] "Notification to consumers" refers to the means of sending or displaying messages to inform users of information.

[0233] This invention is a system implemented by installing an application on a mobile device used by a visitor. The device uses its built-in camera and microphone to analyze the user's facial expressions and voice tone in real time. Facial recognition software such as OpenCV is used for facial recognition, and software such as IBM Watson® Tone Analyzer is used for voice tone analysis.

[0234] The server collects this emotional data and uses a deep learning-based emotion analysis algorithm to determine the user's emotions. Once the emotional state is determined, the server suggests the most suitable travel plan and services for the user based on that determination. For example, if the user is feeling stressed, the server may suggest relaxing foods or recommend relaxing activities. On the other hand, if the server determines that the user is highly satisfied, it can enhance the user's trip by offering special meals or new experiences.

[0235] The device provides users with personalized notifications and suggestions in real time, tailored to their emotional state. It also uses user emotional data to provide appropriate support information in emergencies.

[0236] For example, if a user feels stressed during their trip, the system will suggest comfort food (e.g., stew or soup). If the user shows interest in a new place, it can also introduce local specialties or limited-time menu items. Suggestions generated by a prompt such as, "Analyze the emotions the user is currently feeling and suggest menu items to alleviate stress, or add special culinary options to enhance satisfaction," will be displayed on the device.

[0237] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0238] Step 1:

[0239] The device acquires the user's facial expressions and voice data. Using the camera and microphone, it captures the user's facial expressions as image data and their voice as audio data. The input is the user's visual and auditory data, and the output is this raw data.

[0240] Step 2:

[0241] The device processes image data using facial recognition software (e.g., OpenCV) to analyze the user's facial expressions. Deep learning techniques are used to extract specific features related to emotional states. The input is the acquired image data, and the output is emotional features based on the user's facial expressions.

[0242] Step 3:

[0243] The terminal uses voice tone analysis software (e.g., IBM Watson Tone Analyzer) to analyze voice data and determine emotions from the tone of voice. It performs calculations to identify emotional states (joy, anger, sadness, etc.) based on voice characteristics. The input is voice data, and the output is emotional characteristics based on voice tone.

[0244] Step 4:

[0245] The device analyzes the emotional characteristics and sends them to the server. This allows the server to receive the user's emotional data in real time and prepare it for processing. The input is emotional characteristic data, and the output is data transfer to the server.

[0246] Step 5:

[0247] The server applies an emotion analysis algorithm to comprehensively determine the user's current emotional state from integrated data. A generative AI model is used to estimate various emotional states. The input is emotional feature data sent from the terminal, and the output is the determination of the user's emotional state.

[0248] Step 6:

[0249] The server generates optimal suggestions for the user based on their emotional state. Using a generative AI model, it constructs options such as relaxing activities or special meals. The input is the result of the emotional state assessment, and the output is personalized suggestions for the user.

[0250] Step 7:

[0251] The terminal receives suggestions sent from the server and displays them to the user. Here, recommendation information based on the prompt is provided. The input is the suggestion data from the server, and the output is the display of suggestions to the user.

[0252] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0253] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0254] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0255] [Second Embodiment]

[0256] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0257] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0258] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0259] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0260] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0261] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0262] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0263] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0264] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0265] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0266] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0267] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0268] One possible embodiment of this invention is to install a specific application on the mobile device used by the visitor. The server receives the visitor's profile information and provides functionality to support input in multiple languages. The user can input tourist attractions and experiences on their device based on their interests and travel purposes.

[0269] Next, the server processes this input information and generates a travel plan optimized for the user. This plan generation process utilizes network connectivity to obtain the latest data from numerous travel information sources. The generated plan is sent to the terminal, where the user can view its details on the screen. An interface is also provided that allows the user to customize the plan as needed.

[0270] This system also has the ability to integrate with other information processing devices, for example, to integrate restaurant reservations and payments with popular local services. For instance, if a user makes a restaurant reservation using a local restaurant reservation application, the terminal automatically retrieves the related information.

[0271] For example, if a user sets their preference to visit historical sites during their trip to Tokyo, the server will select prominent historical tourist spots in Tokyo and plan an efficient route to visit them. Furthermore, local rules and precautions for each tourist spot are provided in multiple languages, allowing users to enjoy sightseeing with peace of mind. In case of problems, the system enables two-way communication via the terminal, allowing for real-time support.

[0272] In this way, visitors can enrich their travel experience in Japan without feeling any language or cultural differences.

[0273] The following describes the processing flow.

[0274] Step 1:

[0275] The server receives a user registration request and generates a list of available languages.

[0276] Step 2:

[0277] The terminal displays a list of languages ​​received from the server to the user and provides an interface for the user to select their preferred language.

[0278] Step 3:

[0279] The user inputs basic profile information (name, nationality, purpose of travel, etc.) in the selected language, and the terminal sends the information to the server.

[0280] Step 4:

[0281] Based on the received profile information, the server starts the process of generating a travel plan that suits the user's interests and collects data from multiple tourism information sources.

[0282] Step 5:

[0283] The terminal presents the generated travel plan sent from the server to the user and displays a screen for the user to confirm the plan.

[0284] Step 6:

[0285] The user checks the displayed travel plan and changes or adds activities as desired. At the same time, the user also checks the local rules and precautions related to the plan.

[0286] Step 7:

[0287] The server receives the plan change information from the user, optimizes the plan again based on it, and returns the updated information to the terminal.

[0288] Step 8:

[0289] The terminal cooperates with other information processing devices, fetches the information of necessary local applications (e.g., meal reservation and payment applications), and complements the user's travel experience.

[0290] Step 9:

[0291] If a problem occurs during the travel, the user sends a support request via the terminal and obtains real-time solutions.

[0292] Step 10:

[0293] The server provides solutions and guidance in response to support requests from users, and offers further support as needed.

[0294] (Example 1)

[0295] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0296] There is a need to solve the problem of visitors to tourist destinations being unable to efficiently obtain local tourist information due to language and cultural barriers. Furthermore, visitors need a system that allows them to easily customize their travel plans based on their interests and seamlessly integrate with local services.

[0297] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0298] In this invention, the server includes means for inputting and transmitting multilingual user profile information via a terminal, means for using a generative AI model to generate a travel plan based on the user's interests and purposes, and communication means for obtaining the necessary tourist information for the plan. This overcomes language and cultural constraints, provides travel plans tailored to diverse interests, and enables a smooth tourist experience integrated with local services.

[0299] "Multilingual support" is a feature that allows users who speak different languages ​​to use the same system.

[0300] "User profile information" refers to a collection of data that the system needs, such as the user's personal information, interests, and travel purposes.

[0301] The "generative AI model" is an artificial intelligence technology that automatically generates an optimized travel plan based on input data.

[0302] The "communication means" is a function for transmitting and receiving data between a server and a terminal using a network.

[0303] The "user interface means" refers to the screen and operation unit for a user to access the system and perform operations and inputs.

[0304] "Integration with other information processing devices" means performing data linkage with different systems and devices and integrating functions.

[0305] "Local rules and precautions" refer to the rules and safety precautions in specific tourist destinations or regions.

[0306] The "support means" refers to the function of receiving inquiries from users in real time and assisting in problem-solving.

[0307] As a form of implementing this invention, it is conceivable to install a multilingual tourism support application on the mobile information terminal used by visitors.

[0308] Introduction of the program and setting of the user profile

[0309] The user downloads a dedicated application to the terminal via the communication network. The application has a multilingual interface for handling different natural languages. After the user launches the application, the user inputs profile information such as personal interests and travel purposes. These information are stored in the database and transmitted to the server.

[0310] Generation of travel plan

[0311] The server automatically creates a travel plan using a generative AI model based on the received user information. This generative AI model extracts useful information from a large amount of data about tourist destinations and provides a plan optimized for the user's interests and schedule. For example, if a user inputs "I want to visit historical tourist spots in Tokyo," the AI ​​model will plan a route that efficiently visits historical spots in Tokyo.

[0312] Plan distribution and adjustment

[0313] The terminal displays the travel plan sent from the server on its screen. Users can review this plan and adjust it according to their preferences. For example, they can change the places they want to visit or fine-tune the schedule through the interface.

[0314] Collaboration with local services

[0315] The server integrates with other information processing devices and coordinates with local services. This allows users to smoothly manage things like meal reservations and transportation information at their destination. For example, meal reservation information can be automatically added to the travel plan and made available for the user to review.

[0316] Real-time support in case of trouble

[0317] The terminal provides a means for users to communicate immediately with the server if they encounter any problems. The server can quickly provide solutions to the inquiries it receives, reducing anxiety during travel.

[0318] Thus, the present invention makes it possible to provide users with a personalized and enriching travel experience without them feeling any barriers to foreign culture or language.

[0319] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0320] Step 1:

[0321] Application download and installation

[0322] Users download and install tourism support applications to their mobile devices via the communication network.

[0323] Input: Access the application store.

[0324] Output: The application is installed on the terminal.

[0325] Specific action: The user opens the application store on their device, searches for the app, and clicks "Install".

[0326] Step 2:

[0327] Entering user profile information

[0328] The user launches the application and enters profile information such as their interests, travel purpose, and preferred language.

[0329] Input: User's personal information and travel preferences.

[0330] Output: User profile data sent to the server.

[0331] Specific actions: The user follows the instructions within the app, enters the required information, and creates a profile.

[0332] Step 3:

[0333] Sending and analyzing profile information

[0334] The device sends the entered profile information to the server. The server analyzes this information and organizes the data based on the user's preferences.

[0335] Input: Profile information sent from the device.

[0336] Output: Analyzed user interest and purpose data.

[0337] Specific operation: The terminal sends information to the server via the internet, and the server stores it in a database.

[0338] Step 4:

[0339] Creating a travel plan

[0340] The server uses a generative AI model to create the optimal travel plan for the user. This model has the capability to select the best route based on the user's interests, using a large amount of tourist information.

[0341] Input: Analyzed user interest and purpose data.

[0342] Output: User-optimized travel plan data.

[0343] Specific operation: The server utilizes AI models to collect and analyze information on tourist destinations from large datasets and generate plans.

[0344] Step 5:

[0345] View and customize your travel plan

[0346] The terminal displays the travel plan received from the server on the screen. The user views the displayed plan and customizes it as needed.

[0347] Input: Travel plan data from the server.

[0348] Output: User-customized travel plan.

[0349] Specific actions: Users scroll through plans within the app and perform actions such as editing, deleting, and adding.

[0350] Step 6:

[0351] Collaboration with local services

[0352] The terminal integrates with other information processing devices to manage reservations for meals and transportation at the destination.

[0353] Input: Booking and schedule information obtained from local services.

[0354] Output: Integrated overall travel schedule.

[0355] Specific operation: The app uses the API of the relevant service to automatically retrieve reservation information.

[0356] Step 7:

[0357] Real-time support

[0358] When a user encounters a problem, they can query the server via their device, and the server will provide a solution in real time.

[0359] Input: Support request from a user.

[0360] Output: Specific instructions or guidance for solving a problem.

[0361] Specific operation: The user presses the support button within the app to submit an inquiry, and the server provides an immediate response.

[0362] (Application Example 1)

[0363] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0364] Visitors often face language barriers and difficulties in creating efficient travel plans when sightseeing in different cultural spheres. Furthermore, obtaining appropriate information in real time during their visits is challenging, highlighting the need for flexible information tailored to individual needs. The challenge lies in solving these problems and providing a system that enables visitors to experience more comfortable and fulfilling travel.

[0365] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0366] In this invention, the server includes means for inputting user profile information in multiple languages, means for generating travel plans based on user interests, means for network connectivity to acquire information necessary for the travel plan, means for displaying the generated plan and accepting user modifications, means for providing additional information in cooperation with other information processing devices, means for speech recognition to recognize the user's voice and provide guidance based on voice instructions, and means for providing tourist destination information using a generation AI model. As a result, visitors can obtain optimal travel plans based on their individual interests in real time without experiencing language barriers.

[0367] "Visitors" refer to people who visit tourist destinations or specific locations, and their purposes can vary widely, including travel, sightseeing, and business.

[0368] An "information processing device" is an electronic device used for inputting, processing, storing, and outputting data, and includes computers, servers, and smartphones.

[0369] "User profile information" is a collection of attribute data about individual users, such as their interests, purposes, and language, and is used to enable the provision of services based on individual needs.

[0370] A "travel plan" refers to a specific plan of destinations, sightseeing spots, activities, etc., suggested based on the user's interests and objectives, and is created to provide the optimal travel experience.

[0371] "Network connection means" refers to a device or function that sends and receives information via the Internet or other communication networks, enabling real-time acquisition and transmission of data.

[0372] "Multilingual" refers to supporting multiple languages, with the aim of facilitating smooth information exchange and service provision among users who speak different languages.

[0373] "Speech recognition means" refers to technology that allows a computer to understand spoken language, and is a device or software that converts voice input into text or commands.

[0374] A "generative AI model" is a machine learning model generated using artificial intelligence technology, and is used for advanced processing such as natural language processing and image recognition.

[0375] This system utilizes speech recognition technology and generative AI models to provide tourist information to visitors. First, users can input profile information via a smart device or robotic device. This profile information includes the user's interests, purpose of visit, and language, and the system uses this information to suggest an optimized travel plan.

[0376] The server is equipped with speech recognition capabilities to receive user voice commands, including speech analysis functions using Google Cloud Speech-to-Text. This converts the user's voice into text and recognizes it as an appropriate command. Next, the server uses a generative AI model to generate multilingual tourist information. Specifically, OpenAI GPT is used as the AI ​​model, which enables the generation of tourist information in natural language tailored to the user's interests.

[0377] The generated travel plan is sent to the user's device and updated in real time with the latest information via a network connection. The user can also review and modify this plan on their device. Furthermore, this system can integrate with other information processing devices to incorporate local service information used by the user, specifically facilitating the smooth arrangement of meal reservations and payments at the destination.

[0378] For example, if a user prompts with "I want to visit museums in Paris," the system will gather information on museums near Paris and provide the user with an efficient order of visits and important notes. "Example prompt: Create an optimal route based on the visitor's interests to visit museums in Paris, and present relevant information in multiple languages."

[0379] This provides a system that allows visitors to enjoy a fulfilling travel experience even in different cultural spheres.

[0380] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0381] Step 1:

[0382] Users enter profile information using a device. This input includes data such as interests, travel purpose, and preferred language. The device sends this information to a server, which then receives it to create an individual user profile.

[0383] Step 2:

[0384] The server uses speech recognition to acquire the user's voice input. Specifically, it uses Google Cloud Speech-to-Text to convert the speech into text data. In this process, the server takes the voice data as input and outputs the corresponding string to analyze the user's instructions.

[0385] Step 3:

[0386] The server utilizes a generative AI model to generate multilingual travel plans. It receives user profile information and voice commands as input, and uses OpenAI GPT for natural language processing to optimize tourist destinations and routes, and generate guidance information. As a result, a personalized travel plan is output.

[0387] Step 4:

[0388] The server transmits the generated travel plan to the terminal via the network. The terminal displays this plan and provides an interface that allows the user to interactively view and modify it. The plan is also synchronized with the latest tourist information in real time.

[0389] Step 5:

[0390] The user reviews the plan and makes meal reservations and payments as needed. The terminal sends these operations to the server, which then works with other information processing devices to retrieve and adjust the necessary local service information. Finally, confirmation information and completion notifications are output to the user's terminal.

[0391] Step 6:

[0392] If a user encounters difficulties while sightseeing, they can use their device to make inquiries via voice or text. The server receives these inquiries, generates solutions in real time, and provides multilingual support using a generative AI model. As a result, users are provided with solutions immediately.

[0393] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0394] The system incorporating the emotion engine of the present invention is implemented by installing an application on the mobile device used by the visitor. This system has the function of recognizing the emotions the user feels during their trip and optimizing the travel plan based on that feedback. Specifically, it uses sensors and cameras in the device to determine the user's emotions from their facial expressions and tone of voice.

[0395] The server processes this emotional data in real time and suggests appropriate travel plans and services tailored to the user's situation. For example, if the server determines that the user is feeling stressed or dissatisfied, it will increase the options for relaxing activities and restaurants. If the user is feeling satisfied or happy, it may suggest more active plans.

[0396] The device also provides users with notifications based on their emotional changes during their trip. When users are feeling anxious, it immediately displays reassuring support information, including emergency guidance.

[0397] For example, if a user feels tired during their trip, the system will automatically adjust their schedule and recommend nearby cafes or rest spots. On the other hand, if the user shows excitement or curiosity, the system will suggest additional tourist destinations and event information to stimulate their further exploration.

[0398] In this way, the present invention can flexibly respond to the user's emotions and make the travel experience more individualized and enriching. By introducing an emotion engine, it becomes possible to not only provide a schedule but also to act as a travel partner based on the user's psychological state.

[0399] The following describes the processing flow.

[0400] Step 1:

[0401] When the app is launched, the device activates its sensors and camera, preparing to capture the user's facial expressions and voice.

[0402] Step 2:

[0403] When users log into the app and complete the initial travel setup, they are asked to allow the use of their camera and microphone.

[0404] Step 3:

[0405] The device uses an emotion recognition engine to acquire emotional data in real time from the user's facial expressions and tone of voice.

[0406] Step 4:

[0407] The server receives emotional data sent from the terminal, analyzes it, and identifies the user's current emotional state.

[0408] Step 5:

[0409] The server generates or adjusts the optimal travel plan for the user based on the analyzed sentiment data and sends it to the device.

[0410] Step 6:

[0411] The device presents the user with updated travel plans and provides information such as action suggestions and precautions.

[0412] Step 7:

[0413] Users can review new plans and proposals and make any necessary changes.

[0414] Step 8:

[0415] The server readjusts the plan in a timely manner using a similar process if the user's emotions change, maximizing the user's comfort during their trip.

[0416] Step 9:

[0417] The device displays emotionally-based recommendations and support alerts as needed, depending on the situation during the trip.

[0418] Step 10:

[0419] Users can utilize the suggested services and support information to reduce stress and anxiety, and improve their travel experience.

[0420] (Example 2)

[0421] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0422] During travel, there is a need to enhance visitors' psychological satisfaction while providing an optimal experience based on their individual emotional state. However, conventional systems have made it difficult for users to adjust their travel plans to reflect their emotions at any given time, resulting in a challenge in that the quality of the trip is not always improved.

[0423] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0424] In this invention, the server includes means for collecting user emotional information, means for analyzing the collected emotional information to determine the user's psychological state, and means for generating a personalized travel plan based on the analysis results. This makes it possible to optimize the travel experience in response to the user's emotions in real time.

[0425] "User emotional information" refers to data about a user's psychological state, based on their facial expressions and tone of voice, collected using sensors and cameras on mobile devices.

[0426] "Means of analyzing and determining the user's psychological state" refers to technical methods that use collected emotional information to process and identify the user's current emotions.

[0427] A "personalized travel plan" is a set of travel activities and suggested destinations that are customized based on the user's specific emotional data.

[0428] "Means of notification" refers to methods for informing the user of the generated travel plan, and typically involves providing information to the user through an application on their device.

[0429] "Means for collecting feedback and adjusting travel plans" refers to a mechanism for receiving opinions and feedback from users and using that to improve or change future travel plans.

[0430] "Network connectivity for processing emotional information in real time" refers to a communication infrastructure for transmitting emotional data collected immediately to a server for analysis.

[0431] "Methods for performing efficient data analysis using generative AI models" refer to technologies that use machine learning algorithms to analyze emotional information and perform highly accurate user emotion estimation.

[0432] To implement this invention, the user must first install a dedicated application on their mobile device. This device is equipped with sensors such as a camera and microphone, which are used to collect emotional information such as the user's facial expressions and voice tone. For example, if the device detects the user's smile, it is determined to be joy or satisfaction.

[0433] The collected emotional information is sent from the terminal to the server. The server analyzes this emotional information using a generative AI model. Specifically, it employs deep learning algorithms to quickly and accurately determine the user's psychological state.

[0434] Based on the analysis results, the server generates a personalized travel plan. This plan includes recommendations for destinations and activities optimized according to the user's emotions. For example, if the server determines that the user is stressed, relaxing places and activities will be recommended.

[0435] The generated travel plan is notified to the user via their device. Based on this information, the user can select the next steps in their trip. Furthermore, user feedback is collected and analyzed on the server and reflected in future travel suggestions. For example, by entering a prompt such as "I want to relax, where would be a good place?", a more suitable plan will be suggested.

[0436] In this way, this invention provides an optimal travel experience that responds to the user's real-time emotional state, thereby improving overall travel satisfaction.

[0437] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0438] Step 1:

[0439] The device uses its built-in camera and microphone to collect the user's facial expressions and voice tone in real time. This emotional information becomes the input. Specifically, it detects when the user is smiling at the camera or when their voice is getting higher. This raw emotional data is then generated as the output.

[0440] Step 2:

[0441] The device sends the collected emotional data to the server. The data is encrypted and handled securely during transmission. Here, emotional data is taken as input, and this data is sent to the server via a secure communication protocol (e.g., HTTPS), placing the data awaiting processing.

[0442] Step 3:

[0443] The server analyzes the received emotional data using a generating AI model. In this step, the AI ​​model uses the received emotional data as input to infer the user's emotional state. For example, if the user's tone of voice rises, it will be output as a positive emotion.

[0444] Step 4:

[0445] The server generates a personalized travel plan based on the analysis results. It takes emotional states as input and creates an optimal plan tailored to the user's current psychological state. For example, if it's inferred that the user needs relaxation, a list of relaxing spots will be output.

[0446] Step 5:

[0447] The server sends the generated travel plan to the terminal, and the terminal notifies the user. Receiving the travel plan from the server as input, the terminal displays a pop-up notification on the user's display. This ensures that the generated plan is displayed in a way that is visible to the user.

[0448] Step 6:

[0449] After the user acts based on the displayed travel plan, they send feedback to the server via their device. The server receives the user's feedback as input, aggregates this information, and outputs it to be used in the next travel plan cycle. This feedback forms the basis for creating the next plan.

[0450] (Application Example 2)

[0451] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0452] During travel, users often follow generic travel plans without receiving services or information tailored to their individual emotional states. As a result, users' travel experiences are uniform and fail to adequately address their individual needs and emotions. To solve this problem, it is necessary to reflect users' real-time emotional states and provide appropriate suggestions based on them.

[0453] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0454] In this invention, the server includes means for analyzing emotional data and making personalized suggestions based on the user's emotional state, means for notifying and making suggestions to consumers according to the user's emotions, and means for processing the user's emotional data in real time. This makes it possible to provide personalized travel experiences and services that are tailored to the user's psychological state.

[0455] "Visitor" refers to an individual who uses a service during a trip or visits a tourist destination.

[0456] "Tourist information" refers to information about places that travelers can visit and the surrounding tourist attractions.

[0457] An "information processing device" refers to an electronic device that has the function of receiving data, processing it, and providing results.

[0458] "Multilingual user characteristics information" refers to data that expresses a user's personal information, interests, and preferences in multiple languages.

[0459] "User interest" refers to the interest or curiosity that users have towards specific activities or places.

[0460] "Generating travel plans based on emotions" refers to creating the optimal travel itinerary by taking into account the user's emotional state at that time.

[0461] "Communication connection means" refers to connection methods and technologies for sending and receiving data with other devices.

[0462] A "travel plan" refers to a plan that outlines the schedule and places to visit for a user during their trip.

[0463] "Means for accepting changes" refers to a function that reflects changes made by the user when they modify their original schedule.

[0464] "Collaborating with other information processing devices" refers to communicating with another computer or device and processing information together.

[0465] "Emotional data" refers to data that represents a user's emotional state using numerical values ​​or indicators.

[0466] "Personalized suggestions" refer to customized suggestions and recommendations provided based on the individual needs and feelings of the user.

[0467] "Notification to consumers" refers to the means of sending or displaying messages to inform users of information.

[0468] This invention is a system implemented by installing an application on a mobile device used by a visitor. The device uses its built-in camera and microphone to analyze the user's facial expressions and voice tone in real time. Facial recognition software such as OpenCV is used for facial recognition, and software such as IBM Watson Tone Analyzer is used for voice tone analysis.

[0469] The server collects this emotional data and uses a deep learning-based emotion analysis algorithm to determine the user's emotions. Once the emotional state is determined, the server suggests the most suitable travel plan and services for the user based on that determination. For example, if the user is feeling stressed, the server may suggest relaxing foods or recommend relaxing activities. On the other hand, if the server determines that the user is highly satisfied, it can enhance the user's trip by offering special meals or new experiences.

[0470] The device provides users with personalized notifications and suggestions in real time, tailored to their emotional state. It also uses user emotional data to provide appropriate support information in emergencies.

[0471] For example, if a user feels stressed during their trip, the system will suggest comfort food (e.g., stew or soup). If the user shows interest in a new place, it can also introduce local specialties or limited-time menu items. Suggestions generated by a prompt such as, "Analyze the emotions the user is currently feeling and suggest menu items to alleviate stress, or add special culinary options to enhance satisfaction," will be displayed on the device.

[0472] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0473] Step 1:

[0474] The device acquires the user's facial expressions and voice data. Using the camera and microphone, it captures the user's facial expressions as image data and their voice as audio data. The input is the user's visual and auditory data, and the output is this raw data.

[0475] Step 2:

[0476] The device processes image data using facial recognition software (e.g., OpenCV) to analyze the user's facial expressions. Deep learning techniques are used to extract specific features related to emotional states. The input is the acquired image data, and the output is emotional features based on the user's facial expressions.

[0477] Step 3:

[0478] The terminal uses voice tone analysis software (e.g., IBM Watson Tone Analyzer) to analyze voice data and determine emotions from the tone of voice. It performs calculations to identify emotional states (joy, anger, sadness, etc.) based on voice characteristics. The input is voice data, and the output is emotional characteristics based on voice tone.

[0479] Step 4:

[0480] The device analyzes the emotional characteristics and sends them to the server. This allows the server to receive the user's emotional data in real time and prepare it for processing. The input is emotional characteristic data, and the output is data transfer to the server.

[0481] Step 5:

[0482] The server applies an emotion analysis algorithm to comprehensively determine the user's current emotional state from integrated data. A generative AI model is used to estimate various emotional states. The input is emotional feature data sent from the terminal, and the output is the determination of the user's emotional state.

[0483] Step 6:

[0484] The server generates optimal suggestions for the user based on their emotional state. Using a generative AI model, it constructs options such as relaxing activities or special meals. The input is the result of the emotional state assessment, and the output is personalized suggestions for the user.

[0485] Step 7:

[0486] The terminal receives suggestions sent from the server and displays them to the user. Here, recommendation information based on the prompt is provided. The input is the suggestion data from the server, and the output is the display of suggestions to the user.

[0487] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0488] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0489] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0490] [Third Embodiment]

[0491] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0492] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0493] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0494] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0495] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0496] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0497] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0498] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0499] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0500] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0501] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0502] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0503] One possible embodiment of this invention is to install a specific application on the mobile device used by the visitor. The server receives the visitor's profile information and provides functionality to support input in multiple languages. The user can input tourist attractions and experiences on their device based on their interests and travel purposes.

[0504] Next, the server processes this input information and generates a travel plan optimized for the user. This plan generation process utilizes network connectivity to obtain the latest data from numerous travel information sources. The generated plan is sent to the terminal, where the user can view its details on the screen. An interface is also provided that allows the user to customize the plan as needed.

[0505] This system also has the ability to integrate with other information processing devices, for example, to integrate restaurant reservations and payments with popular local services. For instance, if a user makes a restaurant reservation using a local restaurant reservation application, the terminal automatically retrieves the related information.

[0506] For example, if a user sets their preference to visit historical sites during their trip to Tokyo, the server will select prominent historical tourist spots in Tokyo and plan an efficient route to visit them. Furthermore, local rules and precautions for each tourist spot are provided in multiple languages, allowing users to enjoy sightseeing with peace of mind. In case of problems, the system enables two-way communication via the terminal, allowing for real-time support.

[0507] In this way, visitors can enrich their travel experience in Japan without feeling any language or cultural differences.

[0508] The following describes the processing flow.

[0509] Step 1:

[0510] The server receives a user registration request and generates a list of available languages.

[0511] Step 2:

[0512] The terminal displays a list of languages ​​received from the server to the user and provides an interface for the user to select their preferred language.

[0513] Step 3:

[0514] The user enters basic profile information (name, nationality, travel purpose, etc.) in their chosen language, and the device sends that information to the server.

[0515] Step 4:

[0516] Based on the received profile information, the server initiates a process to generate travel plans tailored to the user's interests, collecting data from numerous tourism information sources.

[0517] Step 5:

[0518] The terminal presents the user with a pre-generated travel plan sent from the server and displays a screen for the user to confirm the plan.

[0519] Step 6:

[0520] Users review the displayed travel plan and modify or add activities as desired. At the same time, they also review any local rules or notes related to the plan.

[0521] Step 7:

[0522] The server receives plan change information from the user, optimizes the plan again based on that information, and sends the updated information back to the terminal.

[0523] Step 8:

[0524] The terminal works in conjunction with other information processing devices to retrieve information from necessary local applications (e.g., restaurant reservation and payment apps) and complement the user's travel experience.

[0525] Step 9:

[0526] If users encounter problems during their trip, they can submit support requests via their device and receive real-time solutions.

[0527] Step 10:

[0528] The server provides solutions and guidance in response to support requests from users, and offers further support as needed.

[0529] (Example 1)

[0530] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0531] There is a need to solve the problem of visitors to tourist destinations being unable to efficiently obtain local tourist information due to language and cultural barriers. Furthermore, visitors need a system that allows them to easily customize their travel plans based on their interests and seamlessly integrate with local services.

[0532] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0533] In this invention, the server includes means for inputting and transmitting multilingual user profile information via a terminal, means for using a generative AI model to generate a travel plan based on the user's interests and purposes, and communication means for obtaining the necessary tourist information for the plan. This overcomes language and cultural constraints, provides travel plans tailored to diverse interests, and enables a smooth tourist experience integrated with local services.

[0534] "Multilingual support" is a feature that allows users who speak different languages ​​to use the same system.

[0535] "User profile information" refers to a collection of data that the system needs, such as the user's personal information, interests, and travel purposes.

[0536] A "generative AI model" is an artificial intelligence technology that automatically generates optimized travel plans based on input data.

[0537] "Communication means" refers to the function of sending and receiving data between a server and a terminal using a network.

[0538] "User interface means" refers to screens and control panels that allow users to access, operate, and input information into a system.

[0539] "Integrating with other information processing devices" means linking data with different systems and devices and unifying their functions.

[0540] "Local rules and precautions" refer to regulations and safety precautions specific to a particular tourist destination or region.

[0541] "Support methods" refer to functions that receive inquiries from users in real time and assist in resolving problems.

[0542] One possible embodiment of this invention is to install a multilingual tourism support application on a mobile device used by visitors.

[0543] Program installation and user profile configuration

[0544] Users download a dedicated application to their device via a communication network. The application features a multilingual interface for handling different natural languages, and after launching the application, users enter profile information such as their personal interests and travel purposes. This information is stored in a database and sent to the server.

[0545] Creating a travel plan

[0546] The server automatically creates a travel plan using a generative AI model based on the received user information. This generative AI model extracts useful information from a large amount of data about tourist destinations and provides a plan optimized for the user's interests and schedule. For example, if a user inputs "I want to visit historical tourist spots in Tokyo," the AI ​​model will plan a route that efficiently visits historical spots in Tokyo.

[0547] Plan distribution and adjustment

[0548] The terminal displays the travel plan sent from the server on its screen. Users can review this plan and adjust it according to their preferences. For example, they can change the places they want to visit or fine-tune the schedule through the interface.

[0549] Collaboration with local services

[0550] The server integrates with other information processing devices and coordinates with local services. This allows users to smoothly manage things like meal reservations and transportation information at their destination. For example, meal reservation information can be automatically added to the travel plan and made available for the user to review.

[0551] Real-time support in case of trouble

[0552] The terminal provides a means for users to communicate immediately with the server if they encounter any problems. The server can quickly provide solutions to the inquiries it receives, reducing anxiety during travel.

[0553] Thus, the present invention makes it possible to provide users with a personalized and enriching travel experience without them feeling any barriers to foreign culture or language.

[0554] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0555] Step 1:

[0556] Application download and installation

[0557] Users download and install tourism support applications to their mobile devices via the communication network.

[0558] Input: Access the application store.

[0559] Output: The application is installed on the terminal.

[0560] Specific action: The user opens the application store on their device, searches for the app, and clicks "Install".

[0561] Step 2:

[0562] Entering user profile information

[0563] The user launches the application and enters profile information such as their interests, travel purpose, and preferred language.

[0564] Input: User's personal information and travel preferences.

[0565] Output: User profile data sent to the server.

[0566] Specific actions: The user follows the instructions within the app, enters the required information, and creates a profile.

[0567] Step 3:

[0568] Sending and analyzing profile information

[0569] The device sends the entered profile information to the server. The server analyzes this information and organizes the data based on the user's preferences.

[0570] Input: Profile information sent from the device.

[0571] Output: Analyzed user interest and purpose data.

[0572] Specific operation: The terminal sends information to the server via the internet, and the server stores it in a database.

[0573] Step 4:

[0574] Creating a travel plan

[0575] The server uses a generative AI model to create the optimal travel plan for the user. This model has the capability to select the best route based on the user's interests, using a large amount of tourist information.

[0576] Input: Analyzed user interest and purpose data.

[0577] Output: User-optimized travel plan data.

[0578] Specific operation: The server utilizes AI models to collect and analyze information on tourist destinations from large datasets and generate plans.

[0579] Step 5:

[0580] View and customize your travel plan

[0581] The terminal displays the travel plan received from the server on the screen. The user views the displayed plan and customizes it as needed.

[0582] Input: Travel plan data from the server.

[0583] Output: User-customized travel plan.

[0584] Specific actions: Users scroll through plans within the app and perform actions such as editing, deleting, and adding.

[0585] Step 6:

[0586] Collaboration with local services

[0587] The terminal integrates with other information processing devices to manage reservations for meals and transportation at the destination.

[0588] Input: Booking and schedule information obtained from local services.

[0589] Output: Integrated overall travel schedule.

[0590] Specific operation: The app uses the API of the relevant service to automatically retrieve reservation information.

[0591] Step 7:

[0592] Real-time support

[0593] When a user encounters a problem, they can query the server via their device, and the server will provide a solution in real time.

[0594] Input: Support request from a user.

[0595] Output: Specific instructions or guidance for solving a problem.

[0596] Specific operation: The user presses the support button within the app to submit an inquiry, and the server provides an immediate response.

[0597] (Application Example 1)

[0598] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0599] Visitors often face language barriers and difficulties in creating efficient travel plans when sightseeing in different cultural spheres. Furthermore, obtaining appropriate information in real time during their visits is challenging, highlighting the need for flexible information tailored to individual needs. The challenge lies in solving these problems and providing a system that enables visitors to experience more comfortable and fulfilling travel.

[0600] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0601] In this invention, the server includes means for inputting user profile information in multiple languages, means for generating travel plans based on user interests, means for network connectivity to acquire information necessary for the travel plan, means for displaying the generated plan and accepting user modifications, means for providing additional information in cooperation with other information processing devices, means for speech recognition to recognize the user's voice and provide guidance based on voice instructions, and means for providing tourist destination information using a generation AI model. As a result, visitors can obtain optimal travel plans based on their individual interests in real time without experiencing language barriers.

[0602] "Visitors" refer to people who visit tourist destinations or specific locations, and their purposes can vary widely, including travel, sightseeing, and business.

[0603] An "information processing device" is an electronic device used for inputting, processing, storing, and outputting data, and includes computers, servers, and smartphones.

[0604] "User profile information" is a collection of attribute data about individual users, such as their interests, purposes, and language, and is used to enable the provision of services based on individual needs.

[0605] A "travel plan" refers to a specific plan of destinations, sightseeing spots, activities, etc., suggested based on the user's interests and objectives, and is created to provide the optimal travel experience.

[0606] "Network connection means" refers to a device or function that sends and receives information via the Internet or other communication networks, enabling real-time acquisition and transmission of data.

[0607] "Multilingual" refers to supporting multiple languages, with the aim of facilitating smooth information exchange and service provision among users who speak different languages.

[0608] "Speech recognition means" refers to technology that allows a computer to understand spoken language, and is a device or software that converts voice input into text or commands.

[0609] A "generative AI model" is a machine learning model generated using artificial intelligence technology, and is used for advanced processing such as natural language processing and image recognition.

[0610] This system utilizes speech recognition technology and generative AI models to provide tourist information to visitors. First, users can input profile information via a smart device or robotic device. This profile information includes the user's interests, purpose of visit, and language, and the system uses this information to suggest an optimized travel plan.

[0611] The server is equipped with speech recognition capabilities to receive user voice commands, including speech analysis functions using Google Cloud Speech-to-Text. This converts the user's voice into text and recognizes it as an appropriate command. Next, the server uses a generative AI model to generate multilingual tourist information. Specifically, OpenAI GPT is used as the AI ​​model, which enables the generation of tourist information in natural language tailored to the user's interests.

[0612] The generated travel plan is sent to the user's device and updated in real time with the latest information via a network connection. The user can also review and modify this plan on their device. Furthermore, this system can integrate with other information processing devices to incorporate local service information used by the user, specifically facilitating the smooth arrangement of meal reservations and payments at the destination.

[0613] For example, if a user prompts with "I want to visit museums in Paris," the system will gather information on museums near Paris and provide the user with an efficient order of visits and important notes. "Example prompt: Create an optimal route based on the visitor's interests to visit museums in Paris, and present relevant information in multiple languages."

[0614] This provides a system that allows visitors to enjoy a fulfilling travel experience even in different cultural spheres.

[0615] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0616] Step 1:

[0617] Users enter profile information using a device. This input includes data such as interests, travel purpose, and preferred language. The device sends this information to a server, which then receives it to create an individual user profile.

[0618] Step 2:

[0619] The server uses speech recognition to acquire the user's voice input. Specifically, it uses Google Cloud Speech-to-Text to convert the speech into text data. In this process, the server takes the voice data as input and outputs the corresponding string to analyze the user's instructions.

[0620] Step 3:

[0621] The server utilizes a generative AI model to generate multilingual travel plans. It receives user profile information and voice commands as input, and uses OpenAI GPT for natural language processing to optimize tourist destinations and routes, and generate guidance information. As a result, a personalized travel plan is output.

[0622] Step 4:

[0623] The server transmits the generated travel plan to the terminal via the network. The terminal displays this plan and provides an interface that allows the user to interactively view and modify it. The plan is also synchronized with the latest tourist information in real time.

[0624] Step 5:

[0625] The user reviews the plan and makes meal reservations and payments as needed. The terminal sends these operations to the server, which then works with other information processing devices to retrieve and adjust the necessary local service information. Finally, confirmation information and completion notifications are output to the user's terminal.

[0626] Step 6:

[0627] If a user encounters difficulties while sightseeing, they can use their device to make inquiries via voice or text. The server receives these inquiries, generates solutions in real time, and provides multilingual support using a generative AI model. As a result, users are provided with solutions immediately.

[0628] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0629] The system incorporating the emotion engine of the present invention is implemented by installing an application on the mobile device used by the visitor. This system has the function of recognizing the emotions the user feels during their trip and optimizing the travel plan based on that feedback. Specifically, it uses sensors and cameras in the device to determine the user's emotions from their facial expressions and tone of voice.

[0630] The server processes this emotional data in real time and suggests appropriate travel plans and services tailored to the user's situation. For example, if the server determines that the user is feeling stressed or dissatisfied, it will increase the options for relaxing activities and restaurants. If the user is feeling satisfied or happy, it may suggest more active plans.

[0631] The device also provides users with notifications based on their emotional changes during their trip. When users are feeling anxious, it immediately displays reassuring support information, including emergency guidance.

[0632] For example, if a user feels tired during their trip, the system will automatically adjust their schedule and recommend nearby cafes or rest spots. On the other hand, if the user shows excitement or curiosity, the system will suggest additional tourist destinations and event information to stimulate their further exploration.

[0633] In this way, the present invention can flexibly respond to the user's emotions and make the travel experience more individualized and enriching. By introducing an emotion engine, it becomes possible to not only provide a schedule but also to act as a travel partner based on the user's psychological state.

[0634] The following describes the processing flow.

[0635] Step 1:

[0636] When the app is launched, the device activates its sensors and camera, preparing to capture the user's facial expressions and voice.

[0637] Step 2:

[0638] When users log into the app and complete the initial travel setup, they are asked to allow the use of their camera and microphone.

[0639] Step 3:

[0640] The device uses an emotion recognition engine to acquire emotional data in real time from the user's facial expressions and tone of voice.

[0641] Step 4:

[0642] The server receives emotional data sent from the terminal, analyzes it, and identifies the user's current emotional state.

[0643] Step 5:

[0644] The server generates or adjusts the optimal travel plan for the user based on the analyzed sentiment data and sends it to the device.

[0645] Step 6:

[0646] The device presents the user with updated travel plans and provides information such as action suggestions and precautions.

[0647] Step 7:

[0648] Users can review new plans and proposals and make any necessary changes.

[0649] Step 8:

[0650] The server readjusts the plan in a timely manner using a similar process if the user's emotions change, maximizing the user's comfort during their trip.

[0651] Step 9:

[0652] The device displays emotionally-based recommendations and support alerts as needed, depending on the situation during the trip.

[0653] Step 10:

[0654] Users can utilize the suggested services and support information to reduce stress and anxiety, and improve their travel experience.

[0655] (Example 2)

[0656] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0657] During travel, there is a need to enhance visitors' psychological satisfaction while providing an optimal experience based on their individual emotional state. However, conventional systems have made it difficult for users to adjust their travel plans to reflect their emotions at any given time, resulting in a challenge in that the quality of the trip is not always improved.

[0658] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0659] In this invention, the server includes means for collecting user emotional information, means for analyzing the collected emotional information to determine the user's psychological state, and means for generating a personalized travel plan based on the analysis results. This makes it possible to optimize the travel experience in response to the user's emotions in real time.

[0660] "User emotional information" refers to data about a user's psychological state, based on their facial expressions and tone of voice, collected using sensors and cameras on mobile devices.

[0661] "Means of analyzing and determining the user's psychological state" refers to technical methods that use collected emotional information to process and identify the user's current emotions.

[0662] A "personalized travel plan" is a set of travel activities and suggested destinations that are customized based on the user's specific emotional data.

[0663] "Means of notification" refers to methods for informing the user of the generated travel plan, and typically involves providing information to the user through an application on their device.

[0664] "Means for collecting feedback and adjusting travel plans" refers to a mechanism for receiving opinions and feedback from users and using that to improve or change future travel plans.

[0665] "Network connectivity for processing emotional information in real time" refers to a communication infrastructure for transmitting emotional data collected immediately to a server for analysis.

[0666] "Methods for performing efficient data analysis using generative AI models" refer to technologies that use machine learning algorithms to analyze emotional information and perform highly accurate user emotion estimation.

[0667] To implement this invention, the user must first install a dedicated application on their mobile device. This device is equipped with sensors such as a camera and microphone, which are used to collect emotional information such as the user's facial expressions and voice tone. For example, if the device detects the user's smile, it is determined to be joy or satisfaction.

[0668] The collected emotional information is sent from the terminal to the server. The server analyzes this emotional information using a generative AI model. Specifically, it employs deep learning algorithms to quickly and accurately determine the user's psychological state.

[0669] Based on the analysis results, the server generates a personalized travel plan. This plan includes recommendations for destinations and activities optimized according to the user's emotions. For example, if the server determines that the user is stressed, relaxing places and activities will be recommended.

[0670] The generated travel plan is notified to the user via their device. Based on this information, the user can select the next steps in their trip. Furthermore, user feedback is collected and analyzed on the server and reflected in future travel suggestions. For example, by entering a prompt such as "I want to relax, where would be a good place?", a more suitable plan will be suggested.

[0671] In this way, this invention provides an optimal travel experience that responds to the user's real-time emotional state, thereby improving overall travel satisfaction.

[0672] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0673] Step 1:

[0674] The device uses its built-in camera and microphone to collect the user's facial expressions and voice tone in real time. This emotional information becomes the input. Specifically, it detects when the user is smiling at the camera or when their voice is getting higher. This raw emotional data is then generated as the output.

[0675] Step 2:

[0676] The device sends the collected emotional data to the server. The data is encrypted and handled securely during transmission. Here, emotional data is taken as input, and this data is sent to the server via a secure communication protocol (e.g., HTTPS), placing the data awaiting processing.

[0677] Step 3:

[0678] The server analyzes the received emotional data using a generating AI model. In this step, the AI ​​model uses the received emotional data as input to infer the user's emotional state. For example, if the user's tone of voice rises, it will be output as a positive emotion.

[0679] Step 4:

[0680] The server generates a personalized travel plan based on the analysis results. It takes emotional states as input and creates an optimal plan tailored to the user's current psychological state. For example, if it's inferred that the user needs relaxation, a list of relaxing spots will be output.

[0681] Step 5:

[0682] The server sends the generated travel plan to the terminal, and the terminal notifies the user. Receiving the travel plan from the server as input, the terminal displays a pop-up notification on the user's display. This ensures that the generated plan is displayed in a way that is visible to the user.

[0683] Step 6:

[0684] After the user acts based on the displayed travel plan, they send feedback to the server via their device. The server receives the user's feedback as input, aggregates this information, and outputs it to be used in the next travel plan cycle. This feedback forms the basis for creating the next plan.

[0685] (Application Example 2)

[0686] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0687] During travel, users often follow generic travel plans without receiving services or information tailored to their individual emotional states. As a result, users' travel experiences are uniform and fail to adequately address their individual needs and emotions. To solve this problem, it is necessary to reflect users' real-time emotional states and provide appropriate suggestions based on them.

[0688] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0689] In this invention, the server includes means for analyzing emotional data and making personalized suggestions based on the user's emotional state, means for notifying and making suggestions to consumers according to the user's emotions, and means for processing the user's emotional data in real time. This makes it possible to provide personalized travel experiences and services that are tailored to the user's psychological state.

[0690] "Visitor" refers to an individual who uses a service during a trip or visits a tourist destination.

[0691] "Tourist information" refers to information about places that travelers can visit and the surrounding tourist attractions.

[0692] An "information processing device" refers to an electronic device that has the function of receiving data, processing it, and providing results.

[0693] "Multilingual user characteristics information" refers to data that expresses a user's personal information, interests, and preferences in multiple languages.

[0694] "User interest" refers to the interest or curiosity that users have towards specific activities or places.

[0695] "Generating travel plans based on emotions" refers to creating the optimal travel itinerary by taking into account the user's emotional state at that time.

[0696] "Communication connection means" refers to connection methods and technologies for sending and receiving data with other devices.

[0697] A "travel plan" refers to a plan that outlines the schedule and places to visit for a user during their trip.

[0698] "Means for accepting changes" refers to a function that reflects changes made by the user when they modify their original schedule.

[0699] "Collaborating with other information processing devices" refers to communicating with another computer or device and processing information together.

[0700] "Emotional data" refers to data that represents a user's emotional state using numerical values ​​or indicators.

[0701] "Personalized suggestions" refer to customized suggestions and recommendations provided based on the individual needs and feelings of the user.

[0702] "Notification to consumers" refers to the means of sending or displaying messages to inform users of information.

[0703] This invention is a system implemented by installing an application on a mobile device used by a visitor. The device uses its built-in camera and microphone to analyze the user's facial expressions and voice tone in real time. Facial recognition software such as OpenCV is used for facial recognition, and software such as IBM Watson Tone Analyzer is used for voice tone analysis.

[0704] The server collects this emotional data and uses a deep learning-based emotion analysis algorithm to determine the user's emotions. Once the emotional state is determined, the server suggests the most suitable travel plan and services for the user based on that determination. For example, if the user is feeling stressed, the server may suggest relaxing foods or recommend relaxing activities. On the other hand, if the server determines that the user is highly satisfied, it can enhance the user's trip by offering special meals or new experiences.

[0705] The device provides users with personalized notifications and suggestions in real time, tailored to their emotional state. It also uses user emotional data to provide appropriate support information in emergencies.

[0706] For example, if a user feels stressed during their trip, the system will suggest comfort food (e.g., stew or soup). If the user shows interest in a new place, it can also introduce local specialties or limited-time menu items. Suggestions generated by a prompt such as, "Analyze the emotions the user is currently feeling and suggest menu items to alleviate stress, or add special culinary options to enhance satisfaction," will be displayed on the device.

[0707] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0708] Step 1:

[0709] The device acquires the user's facial expressions and voice data. Using the camera and microphone, it captures the user's facial expressions as image data and their voice as audio data. The input is the user's visual and auditory data, and the output is this raw data.

[0710] Step 2:

[0711] The device processes image data using facial recognition software (e.g., OpenCV) to analyze the user's facial expressions. Deep learning techniques are used to extract specific features related to emotional states. The input is the acquired image data, and the output is emotional features based on the user's facial expressions.

[0712] Step 3:

[0713] The terminal uses voice tone analysis software (e.g., IBM Watson Tone Analyzer) to analyze voice data and determine emotions from the tone of voice. It performs calculations to identify emotional states (joy, anger, sadness, etc.) based on voice characteristics. The input is voice data, and the output is emotional characteristics based on voice tone.

[0714] Step 4:

[0715] The device analyzes the emotional characteristics and sends them to the server. This allows the server to receive the user's emotional data in real time and prepare it for processing. The input is emotional characteristic data, and the output is data transfer to the server.

[0716] Step 5:

[0717] The server applies an emotion analysis algorithm to comprehensively determine the user's current emotional state from integrated data. A generative AI model is used to estimate various emotional states. The input is emotional feature data sent from the terminal, and the output is the determination of the user's emotional state.

[0718] Step 6:

[0719] The server generates optimal suggestions for the user based on their emotional state. Using a generative AI model, it constructs options such as relaxing activities or special meals. The input is the result of the emotional state assessment, and the output is personalized suggestions for the user.

[0720] Step 7:

[0721] The terminal receives suggestions sent from the server and displays them to the user. Here, recommendation information based on the prompt is provided. The input is the suggestion data from the server, and the output is the display of suggestions to the user.

[0722] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0723] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0724] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0725] [Fourth Embodiment]

[0726] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0727] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0728] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0729] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0730] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0731] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0732] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0733] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0734] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0735] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0736] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0737] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0738] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0739] One possible embodiment of this invention is to install a specific application on the mobile device used by the visitor. The server receives the visitor's profile information and provides functionality to support input in multiple languages. The user can input tourist attractions and experiences on their device based on their interests and travel purposes.

[0740] Next, the server processes this input information and generates a travel plan optimized for the user. This plan generation process utilizes network connectivity to obtain the latest data from numerous travel information sources. The generated plan is sent to the terminal, where the user can view its details on the screen. An interface is also provided that allows the user to customize the plan as needed.

[0741] This system also has the ability to integrate with other information processing devices, for example, to integrate restaurant reservations and payments with popular local services. For instance, if a user makes a restaurant reservation using a local restaurant reservation application, the terminal automatically retrieves the related information.

[0742] For example, if a user sets their preference to visit historical sites during their trip to Tokyo, the server will select prominent historical tourist spots in Tokyo and plan an efficient route to visit them. Furthermore, local rules and precautions for each tourist spot are provided in multiple languages, allowing users to enjoy sightseeing with peace of mind. In case of problems, the system enables two-way communication via the terminal, allowing for real-time support.

[0743] In this way, visitors can enrich their travel experience in Japan without feeling any language or cultural differences.

[0744] The following describes the processing flow.

[0745] Step 1:

[0746] The server receives a user registration request and generates a list of available languages.

[0747] Step 2:

[0748] The terminal displays a list of languages ​​received from the server to the user and provides an interface for the user to select their preferred language.

[0749] Step 3:

[0750] The user enters basic profile information (name, nationality, travel purpose, etc.) in their chosen language, and the device sends that information to the server.

[0751] Step 4:

[0752] Based on the received profile information, the server initiates a process to generate travel plans tailored to the user's interests, collecting data from numerous tourism information sources.

[0753] Step 5:

[0754] The terminal presents the user with a pre-generated travel plan sent from the server and displays a screen for the user to confirm the plan.

[0755] Step 6:

[0756] Users review the displayed travel plan and modify or add activities as desired. At the same time, they also review any local rules or notes related to the plan.

[0757] Step 7:

[0758] The server receives plan change information from the user, optimizes the plan again based on that information, and sends the updated information back to the terminal.

[0759] Step 8:

[0760] The terminal works in conjunction with other information processing devices to retrieve information from necessary local applications (e.g., restaurant reservation and payment apps) and complement the user's travel experience.

[0761] Step 9:

[0762] If users encounter problems during their trip, they can submit support requests via their device and receive real-time solutions.

[0763] Step 10:

[0764] The server provides solutions and guidance in response to support requests from users, and offers further support as needed.

[0765] (Example 1)

[0766] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0767] There is a need to solve the problem of visitors to tourist destinations being unable to efficiently obtain local tourist information due to language and cultural barriers. Furthermore, visitors need a system that allows them to easily customize their travel plans based on their interests and seamlessly integrate with local services.

[0768] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0769] In this invention, the server includes means for inputting and transmitting multilingual user profile information via a terminal, means for using a generative AI model to generate a travel plan based on the user's interests and purposes, and communication means for obtaining the necessary tourist information for the plan. This overcomes language and cultural constraints, provides travel plans tailored to diverse interests, and enables a smooth tourist experience integrated with local services.

[0770] "Multilingual support" is a feature that allows users who speak different languages ​​to use the same system.

[0771] "User profile information" refers to a collection of data that the system needs, such as the user's personal information, interests, and travel purposes.

[0772] A "generative AI model" is an artificial intelligence technology that automatically generates optimized travel plans based on input data.

[0773] "Communication means" refers to the function of sending and receiving data between a server and a terminal using a network.

[0774] "User interface means" refers to screens and control panels that allow users to access, operate, and input information into a system.

[0775] "Integrating with other information processing devices" means linking data with different systems and devices and unifying their functions.

[0776] "Local rules and precautions" refer to regulations and safety precautions specific to a particular tourist destination or region.

[0777] "Support methods" refer to functions that receive inquiries from users in real time and assist in resolving problems.

[0778] One possible embodiment of this invention is to install a multilingual tourism support application on a mobile device used by visitors.

[0779] Program installation and user profile configuration

[0780] Users download a dedicated application to their device via a communication network. The application features a multilingual interface for handling different natural languages, and after launching the application, users enter profile information such as their personal interests and travel purposes. This information is stored in a database and sent to the server.

[0781] Creating a travel plan

[0782] The server automatically creates a travel plan using a generative AI model based on the received user information. This generative AI model extracts useful information from a large amount of data about tourist destinations and provides a plan optimized for the user's interests and schedule. For example, if a user inputs "I want to visit historical tourist spots in Tokyo," the AI ​​model will plan a route that efficiently visits historical spots in Tokyo.

[0783] Plan distribution and adjustment

[0784] The terminal displays the travel plan sent from the server on its screen. Users can review this plan and adjust it according to their preferences. For example, they can change the places they want to visit or fine-tune the schedule through the interface.

[0785] Collaboration with local services

[0786] The server integrates with other information processing devices and coordinates with local services. This allows users to smoothly manage things like meal reservations and transportation information at their destination. For example, meal reservation information can be automatically added to the travel plan and made available for the user to review.

[0787] Real-time support in case of trouble

[0788] The terminal provides a means for users to communicate immediately with the server if they encounter any problems. The server can quickly provide solutions to the inquiries it receives, reducing anxiety during travel.

[0789] Thus, the present invention makes it possible to provide users with a personalized and enriching travel experience without them feeling any barriers to foreign culture or language.

[0790] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0791] Step 1:

[0792] Application download and installation

[0793] Users download and install tourism support applications to their mobile devices via the communication network.

[0794] Input: Access the application store.

[0795] Output: The application is installed on the terminal.

[0796] Specific action: The user opens the application store on their device, searches for the app, and clicks "Install".

[0797] Step 2:

[0798] Entering user profile information

[0799] The user launches the application and enters profile information such as their interests, travel purpose, and preferred language.

[0800] Input: User's personal information and travel preferences.

[0801] Output: User profile data sent to the server.

[0802] Specific actions: The user follows the instructions within the app, enters the required information, and creates a profile.

[0803] Step 3:

[0804] Sending and analyzing profile information

[0805] The device sends the entered profile information to the server. The server analyzes this information and organizes the data based on the user's preferences.

[0806] Input: Profile information sent from the device.

[0807] Output: Analyzed user interest and purpose data.

[0808] Specific operation: The terminal sends information to the server via the internet, and the server stores it in a database.

[0809] Step 4:

[0810] Creating a travel plan

[0811] The server uses a generative AI model to create the optimal travel plan for the user. This model has the capability to select the best route based on the user's interests, using a large amount of tourist information.

[0812] Input: Analyzed user interest and purpose data.

[0813] Output: User-optimized travel plan data.

[0814] Specific operation: The server utilizes AI models to collect and analyze information on tourist destinations from large datasets and generate plans.

[0815] Step 5:

[0816] View and customize your travel plan

[0817] The terminal displays the travel plan received from the server on the screen. The user views the displayed plan and customizes it as needed.

[0818] Input: Travel plan data from the server.

[0819] Output: User-customized travel plan.

[0820] Specific actions: Users scroll through plans within the app and perform actions such as editing, deleting, and adding.

[0821] Step 6:

[0822] Collaboration with local services

[0823] The terminal integrates with other information processing devices to manage reservations for meals and transportation at the destination.

[0824] Input: Booking and schedule information obtained from local services.

[0825] Output: Integrated overall travel schedule.

[0826] Specific operation: The app uses the API of the relevant service to automatically retrieve reservation information.

[0827] Step 7:

[0828] Real-time support

[0829] When a user encounters a problem, they can query the server via their device, and the server will provide a solution in real time.

[0830] Input: Support request from a user.

[0831] Output: Specific instructions or guidance for solving a problem.

[0832] Specific operation: The user presses the support button within the app to submit an inquiry, and the server provides an immediate response.

[0833] (Application Example 1)

[0834] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0835] Visitors often face language barriers and difficulties in creating efficient travel plans when sightseeing in different cultural spheres. Furthermore, obtaining appropriate information in real time during their visits is challenging, highlighting the need for flexible information tailored to individual needs. The challenge lies in solving these problems and providing a system that enables visitors to experience more comfortable and fulfilling travel.

[0836] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0837] In this invention, the server includes means for inputting user profile information in multiple languages, means for generating travel plans based on user interests, means for network connectivity to acquire information necessary for the travel plan, means for displaying the generated plan and accepting user modifications, means for providing additional information in cooperation with other information processing devices, means for speech recognition to recognize the user's voice and provide guidance based on voice instructions, and means for providing tourist destination information using a generation AI model. As a result, visitors can obtain optimal travel plans based on their individual interests in real time without experiencing language barriers.

[0838] "Visitors" refer to people who visit tourist destinations or specific locations, and their purposes can vary widely, including travel, sightseeing, and business.

[0839] An "information processing device" is an electronic device used for inputting, processing, storing, and outputting data, and includes computers, servers, and smartphones.

[0840] "User profile information" is a collection of attribute data about individual users, such as their interests, purposes, and language, and is used to enable the provision of services based on individual needs.

[0841] A "travel plan" refers to a specific plan of destinations, sightseeing spots, activities, etc., suggested based on the user's interests and objectives, and is created to provide the optimal travel experience.

[0842] "Network connection means" refers to a device or function that sends and receives information via the Internet or other communication networks, enabling real-time acquisition and transmission of data.

[0843] "Multilingual" refers to supporting multiple languages, with the aim of facilitating smooth information exchange and service provision among users who speak different languages.

[0844] "Speech recognition means" refers to technology that allows a computer to understand spoken language, and is a device or software that converts voice input into text or commands.

[0845] A "generative AI model" is a machine learning model generated using artificial intelligence technology, and is used for advanced processing such as natural language processing and image recognition.

[0846] This system utilizes speech recognition technology and generative AI models to provide tourist information to visitors. First, users can input profile information via a smart device or robotic device. This profile information includes the user's interests, purpose of visit, and language, and the system uses this information to suggest an optimized travel plan.

[0847] The server is equipped with speech recognition capabilities to receive user voice commands, including speech analysis functions using Google Cloud Speech-to-Text. This converts the user's voice into text and recognizes it as an appropriate command. Next, the server uses a generative AI model to generate multilingual tourist information. Specifically, OpenAI GPT is used as the AI ​​model, which enables the generation of tourist information in natural language tailored to the user's interests.

[0848] The generated travel plan is sent to the user's device and updated in real time with the latest information via a network connection. The user can also review and modify this plan on their device. Furthermore, this system can integrate with other information processing devices to incorporate local service information used by the user, specifically facilitating the smooth arrangement of meal reservations and payments at the destination.

[0849] For example, if a user prompts with "I want to visit museums in Paris," the system will gather information on museums near Paris and provide the user with an efficient order of visits and important notes. "Example prompt: Create an optimal route based on the visitor's interests to visit museums in Paris, and present relevant information in multiple languages."

[0850] This provides a system that allows visitors to enjoy a fulfilling travel experience even in different cultural spheres.

[0851] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0852] Step 1:

[0853] Users enter profile information using a device. This input includes data such as interests, travel purpose, and preferred language. The device sends this information to a server, which then receives it to create an individual user profile.

[0854] Step 2:

[0855] The server uses speech recognition to acquire the user's voice input. Specifically, it uses Google Cloud Speech-to-Text to convert the speech into text data. In this process, the server takes the voice data as input and outputs the corresponding string to analyze the user's instructions.

[0856] Step 3:

[0857] The server utilizes a generative AI model to generate multilingual travel plans. It receives user profile information and voice commands as input, and uses OpenAI GPT for natural language processing to optimize tourist destinations and routes, and generate guidance information. As a result, a personalized travel plan is output.

[0858] Step 4:

[0859] The server transmits the generated travel plan to the terminal via the network. The terminal displays this plan and provides an interface that allows the user to interactively view and modify it. The plan is also synchronized with the latest tourist information in real time.

[0860] Step 5:

[0861] The user reviews the plan and makes meal reservations and payments as needed. The terminal sends these operations to the server, which then works with other information processing devices to retrieve and adjust the necessary local service information. Finally, confirmation information and completion notifications are output to the user's terminal.

[0862] Step 6:

[0863] If a user encounters difficulties while sightseeing, they can use their device to make inquiries via voice or text. The server receives these inquiries, generates solutions in real time, and provides multilingual support using a generative AI model. As a result, users are provided with solutions immediately.

[0864] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0865] The system incorporating the emotion engine of the present invention is implemented by installing an application on the mobile device used by the visitor. This system has the function of recognizing the emotions the user feels during their trip and optimizing the travel plan based on that feedback. Specifically, it uses sensors and cameras in the device to determine the user's emotions from their facial expressions and tone of voice.

[0866] The server processes this emotional data in real time and suggests appropriate travel plans and services tailored to the user's situation. For example, if the server determines that the user is feeling stressed or dissatisfied, it will increase the options for relaxing activities and restaurants. If the user is feeling satisfied or happy, it may suggest more active plans.

[0867] The device also provides users with notifications based on their emotional changes during their trip. When users are feeling anxious, it immediately displays reassuring support information, including emergency guidance.

[0868] For example, if a user feels tired during their trip, the system will automatically adjust their schedule and recommend nearby cafes or rest spots. On the other hand, if the user shows excitement or curiosity, the system will suggest additional tourist destinations and event information to stimulate their further exploration.

[0869] In this way, the present invention can flexibly respond to the user's emotions and make the travel experience more individualized and enriching. By introducing an emotion engine, it becomes possible to not only provide a schedule but also to act as a travel partner based on the user's psychological state.

[0870] The following describes the processing flow.

[0871] Step 1:

[0872] When the app is launched, the device activates its sensors and camera, preparing to capture the user's facial expressions and voice.

[0873] Step 2:

[0874] When users log into the app and complete the initial travel setup, they are asked to allow the use of their camera and microphone.

[0875] Step 3:

[0876] The device uses an emotion recognition engine to acquire emotional data in real time from the user's facial expressions and tone of voice.

[0877] Step 4:

[0878] The server receives emotional data sent from the terminal, analyzes it, and identifies the user's current emotional state.

[0879] Step 5:

[0880] The server generates or adjusts the optimal travel plan for the user based on the analyzed sentiment data and sends it to the device.

[0881] Step 6:

[0882] The device presents the user with updated travel plans and provides information such as action suggestions and precautions.

[0883] Step 7:

[0884] Users can review new plans and proposals and make any necessary changes.

[0885] Step 8:

[0886] The server readjusts the plan in a timely manner using a similar process if the user's emotions change, maximizing the user's comfort during their trip.

[0887] Step 9:

[0888] The device displays emotionally-based recommendations and support alerts as needed, depending on the situation during the trip.

[0889] Step 10:

[0890] Users can utilize the suggested services and support information to reduce stress and anxiety, and improve their travel experience.

[0891] (Example 2)

[0892] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0893] During travel, there is a need to enhance visitors' psychological satisfaction while providing an optimal experience based on their individual emotional state. However, conventional systems have made it difficult for users to adjust their travel plans to reflect their emotions at any given time, resulting in a challenge in that the quality of the trip is not always improved.

[0894] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0895] In this invention, the server includes means for collecting user emotional information, means for analyzing the collected emotional information to determine the user's psychological state, and means for generating a personalized travel plan based on the analysis results. This makes it possible to optimize the travel experience in response to the user's emotions in real time.

[0896] "User emotional information" refers to data about a user's psychological state, based on their facial expressions and tone of voice, collected using sensors and cameras on mobile devices.

[0897] "Means of analyzing and determining the user's psychological state" refers to technical methods that use collected emotional information to process and identify the user's current emotions.

[0898] A "personalized travel plan" is a set of travel activities and suggested destinations that are customized based on the user's specific emotional data.

[0899] "Means of notification" refers to methods for informing the user of the generated travel plan, and typically involves providing information to the user through an application on their device.

[0900] "Means for collecting feedback and adjusting travel plans" refers to a mechanism for receiving opinions and feedback from users and using that to improve or change future travel plans.

[0901] "Network connectivity for processing emotional information in real time" refers to a communication infrastructure for transmitting emotional data collected immediately to a server for analysis.

[0902] "Methods for performing efficient data analysis using generative AI models" refer to technologies that use machine learning algorithms to analyze emotional information and perform highly accurate user emotion estimation.

[0903] To implement this invention, the user must first install a dedicated application on their mobile device. This device is equipped with sensors such as a camera and microphone, which are used to collect emotional information such as the user's facial expressions and voice tone. For example, if the device detects the user's smile, it is determined to be joy or satisfaction.

[0904] The collected emotional information is sent from the terminal to the server. The server analyzes this emotional information using a generative AI model. Specifically, it employs deep learning algorithms to quickly and accurately determine the user's psychological state.

[0905] Based on the analysis results, the server generates a personalized travel plan. This plan includes recommendations for destinations and activities optimized according to the user's emotions. For example, if the server determines that the user is stressed, relaxing places and activities will be recommended.

[0906] The generated travel plan is notified to the user via their device. Based on this information, the user can select the next steps in their trip. Furthermore, user feedback is collected and analyzed on the server and reflected in future travel suggestions. For example, by entering a prompt such as "I want to relax, where would be a good place?", a more suitable plan will be suggested.

[0907] In this way, this invention provides an optimal travel experience that responds to the user's real-time emotional state, thereby improving overall travel satisfaction.

[0908] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0909] Step 1:

[0910] The device uses its built-in camera and microphone to collect the user's facial expressions and voice tone in real time. This emotional information becomes the input. Specifically, it detects when the user is smiling at the camera or when their voice is getting higher. This raw emotional data is then generated as the output.

[0911] Step 2:

[0912] The device sends the collected emotional data to the server. The data is encrypted and handled securely during transmission. Here, emotional data is taken as input, and this data is sent to the server via a secure communication protocol (e.g., HTTPS), placing the data awaiting processing.

[0913] Step 3:

[0914] The server analyzes the received emotional data using a generating AI model. In this step, the AI ​​model uses the received emotional data as input to infer the user's emotional state. For example, if the user's tone of voice rises, it will be output as a positive emotion.

[0915] Step 4:

[0916] The server generates a personalized travel plan based on the analysis results. It takes emotional states as input and creates an optimal plan tailored to the user's current psychological state. For example, if it's inferred that the user needs relaxation, a list of relaxing spots will be output.

[0917] Step 5:

[0918] The server sends the generated travel plan to the terminal, and the terminal notifies the user. Receiving the travel plan from the server as input, the terminal displays a pop-up notification on the user's display. This ensures that the generated plan is displayed in a way that is visible to the user.

[0919] Step 6:

[0920] After the user acts based on the displayed travel plan, they send feedback to the server via their device. The server receives the user's feedback as input, aggregates this information, and outputs it to be used in the next travel plan cycle. This feedback forms the basis for creating the next plan.

[0921] (Application Example 2)

[0922] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0923] During travel, users often follow generic travel plans without receiving services or information tailored to their individual emotional states. As a result, users' travel experiences are uniform and fail to adequately address their individual needs and emotions. To solve this problem, it is necessary to reflect users' real-time emotional states and provide appropriate suggestions based on them.

[0924] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0925] In this invention, the server includes means for analyzing emotional data and making personalized suggestions based on the user's emotional state, means for notifying and making suggestions to consumers according to the user's emotions, and means for processing the user's emotional data in real time. This makes it possible to provide personalized travel experiences and services that are tailored to the user's psychological state.

[0926] "Visitor" refers to an individual who uses a service during a trip or visits a tourist destination.

[0927] "Tourist information" refers to information about places that travelers can visit and the surrounding tourist attractions.

[0928] An "information processing device" refers to an electronic device that has the function of receiving data, processing it, and providing results.

[0929] "Multilingual user characteristics information" refers to data that expresses a user's personal information, interests, and preferences in multiple languages.

[0930] "User interest" refers to the interest or curiosity that users have towards specific activities or places.

[0931] "Generating travel plans based on emotions" refers to creating the optimal travel itinerary by taking into account the user's emotional state at that time.

[0932] "Communication connection means" refers to connection methods and technologies for sending and receiving data with other devices.

[0933] A "travel plan" refers to a plan that outlines the schedule and places to visit for a user during their trip.

[0934] "Means for accepting changes" refers to a function that reflects changes made by the user when they modify their original schedule.

[0935] "Collaborating with other information processing devices" refers to communicating with another computer or device and processing information together.

[0936] "Emotional data" refers to data that represents a user's emotional state using numerical values ​​or indicators.

[0937] "Personalized suggestions" refer to customized suggestions and recommendations provided based on the individual needs and feelings of the user.

[0938] "Notification to consumers" refers to the means of sending or displaying messages to inform users of information.

[0939] This invention is a system implemented by installing an application on a mobile device used by a visitor. The device uses its built-in camera and microphone to analyze the user's facial expressions and voice tone in real time. Facial recognition software such as OpenCV is used for facial recognition, and software such as IBM Watson Tone Analyzer is used for voice tone analysis.

[0940] The server collects this emotional data and uses a deep learning-based emotion analysis algorithm to determine the user's emotions. Once the emotional state is determined, the server suggests the most suitable travel plan and services for the user based on that determination. For example, if the user is feeling stressed, the server may suggest relaxing foods or recommend relaxing activities. On the other hand, if the server determines that the user is highly satisfied, it can enhance the user's trip by offering special meals or new experiences.

[0941] The device provides users with personalized notifications and suggestions in real time, tailored to their emotional state. It also uses user emotional data to provide appropriate support information in emergencies.

[0942] For example, if a user feels stressed during their trip, the system will suggest comfort food (e.g., stew or soup). If the user shows interest in a new place, it can also introduce local specialties or limited-time menu items. Suggestions generated by a prompt such as, "Analyze the emotions the user is currently feeling and suggest menu items to alleviate stress, or add special culinary options to enhance satisfaction," will be displayed on the device.

[0943] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0944] Step 1:

[0945] The device acquires the user's facial expressions and voice data. Using the camera and microphone, it captures the user's facial expressions as image data and their voice as audio data. The input is the user's visual and auditory data, and the output is this raw data.

[0946] Step 2:

[0947] The device processes image data using facial recognition software (e.g., OpenCV) to analyze the user's facial expressions. Deep learning techniques are used to extract specific features related to emotional states. The input is the acquired image data, and the output is emotional features based on the user's facial expressions.

[0948] Step 3:

[0949] The terminal uses voice tone analysis software (e.g., IBM Watson Tone Analyzer) to analyze voice data and determine emotions from the tone of voice. It performs calculations to identify emotional states (joy, anger, sadness, etc.) based on voice characteristics. The input is voice data, and the output is emotional characteristics based on voice tone.

[0950] Step 4:

[0951] The device analyzes the emotional characteristics and sends them to the server. This allows the server to receive the user's emotional data in real time and prepare it for processing. The input is emotional characteristic data, and the output is data transfer to the server.

[0952] Step 5:

[0953] The server applies an emotion analysis algorithm to comprehensively determine the user's current emotional state from integrated data. A generative AI model is used to estimate various emotional states. The input is emotional feature data sent from the terminal, and the output is the determination of the user's emotional state.

[0954] Step 6:

[0955] The server generates optimal suggestions for the user based on their emotional state. Using a generative AI model, it constructs options such as relaxing activities or special meals. The input is the result of the emotional state assessment, and the output is personalized suggestions for the user.

[0956] Step 7:

[0957] The terminal receives suggestions sent from the server and displays them to the user. Here, recommendation information based on the prompt is provided. The input is the suggestion data from the server, and the output is the display of suggestions to the user.

[0958] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0959] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0960] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0961] Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0962] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0963] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0964] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0965] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0966] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0967] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0968] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0969] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0970] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0971] 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.

[0972] Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0973] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0974] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0975] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0976] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0977] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0978] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted as being incorporated by reference.

[0979] The following is further disclosed regarding the embodiments described above.

[0980] (Claim 1)

[0981] An information processing device for providing tourist destination information to visitors,

[0982] A means of entering user profile information in multiple languages,

[0983] A means of generating travel plans based on user interests,

[0984] A network connection method for obtaining information necessary for travel planning,

[0985] A means to display the generated plan and accept changes from the user,

[0986] A system that includes means for providing additional information in cooperation with other information processing devices.

[0987] (Claim 2)

[0988] The system according to claim 1, which presents local rules and precautions for a visited location based on user input.

[0989] (Claim 3)

[0990] The system according to claim 1, which receives inquiries from users when a problem occurs and provides solutions in real time.

[0991] "Example 1"

[0992] (Claim 1)

[0993] A means of inputting multilingual user profile information and transmitting it via the terminal,

[0994] A means of using a generative AI model to generate travel plans based on the user's interests and objectives,

[0995] Communication means to obtain the necessary tourist information for planning,

[0996] A user interface means that displays the generated plan on the terminal and accepts changes by the user,

[0997] A means of providing local services by integrating with other information processing devices,

[0998] A means of presenting local rules and precautions in tourist areas in multiple languages,

[0999] A system that includes a support mechanism that allows users to inquire about problems from their devices and receive solutions in real time.

[1000] (Claim 2)

[1001] The system according to claim 1, which uses a generative AI model to propose the optimal tourist route from multiple information sources.

[1002] (Claim 3)

[1003] The system according to claim 1, which automatically retrieves meal reservation information in conjunction with popular local services and reflects it to the user.

[1004] "Application Example 1"

[1005] (Claim 1)

[1006] An information processing device for providing tourist destination information to visitors,

[1007] A means of entering user profile information in multiple languages,

[1008] A means of generating travel plans based on user interests,

[1009] A network connection method for obtaining information necessary for travel planning,

[1010] A means to display the generated plan and accept changes from the user,

[1011] A means of providing additional information in cooperation with other information processing devices,

[1012] A voice recognition means that recognizes the user's voice and provides guidance based on voice instructions,

[1013] A system that includes means for providing tourist information using a generative AI model.

[1014] (Claim 2)

[1015] The system according to claim 1, which presents local rules and precautions for a visited location based on user input.

[1016] (Claim 3)

[1017] The system according to claim 1, which receives inquiries from users when a problem occurs and provides solutions in real time.

[1018] "Example 2 of combining an emotion engine"

[1019] (Claim 1)

[1020] Means for collecting user sentiment information,

[1021] A means of analyzing collected emotional information to determine the user's psychological state,

[1022] A means for generating personalized travel plans based on analysis results,

[1023] A means of notifying the user of the generated travel plan,

[1024] A means of collecting user feedback and adjusting travel plans,

[1025] A network connection means for processing emotional information in real time,

[1026] A system that includes means for performing efficient data analysis using generative AI models.

[1027] (Claim 2)

[1028] The system according to claim 1, which adjusts the travel plan in response to changes in the user's emotions.

[1029] (Claim 3)

[1030] The system according to claim 1, which immediately provides reassuring information to a user when they feel anxious.

[1031] "Application example 2 when combining with an emotional engine"

[1032] (Claim 1)

[1033] An information processing device for providing tourist destination information to visitors,

[1034] A means of inputting user characteristic information in multiple languages,

[1035] A means of generating travel plans based on the user's interests and emotions,

[1036] A means of communication to obtain information necessary for travel planning,

[1037] A means to display the generated travel plan and accept changes from the user,

[1038] A means of providing additional information in cooperation with other information processing devices,

[1039] A means of analyzing emotional data and providing personalized suggestions based on the user's emotional state,

[1040] A system that includes means of notifying and suggesting to consumers in response to their emotions.

[1041] (Claim 2)

[1042] The system according to claim 1, which processes user emotional data in real time and makes suggestions for meals and services based on the emotional state.

[1043] (Claim 3)

[1044] The system according to claim 1, which provides support information in real time according to the user's emotional state and improves the emotionally-based travel experience. [Explanation of Symbols]

[1045] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. An information processing device for providing tourist destination information to visitors, A means of entering user profile information in multiple languages, A means of generating travel plans based on user interests, A network connection method for obtaining information necessary for travel planning, A means to display the generated plan and accept changes from the user, A system that includes means for providing additional information in cooperation with other information processing devices.

2. The system according to claim 1, which presents local rules and precautions for a visited location based on user input.

3. The system according to claim 1, which receives inquiries from users when a problem occurs and provides solutions in real time.

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