system

Abstract

We provide the system. [Solution] A device for collecting tourist movement records and interest information, A device that generates an optimized route for tourists based on the information collected, A device that provides guide information at a visited location using augmented reality technology, A device that tracks the location of tourists in real time and provides additional information, A device that visualizes additional tourist information and nearby activity information in real time, A device that provides dynamic guidance to tourists in an urban environment, A system that includes this.

Description

Technical Field

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

Background Art

[0002] Patent Document 1 discloses a persona chatbot control method 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 as a 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] It is difficult for tourists to easily obtain information on an optimal tourism route based on their own interests and past experiences, and it is difficult to efficiently visit tourist destinations within a limited time. Also, information provision at the local area is generalized, and it is impossible to obtain personalized guidance corresponding to individual interests, resulting in a limited tourism experience.

Means for Solving the Problems

[0005] This invention provides a system that aggregates tourists' past travel records and interest data, and generates individually optimized tourist routes based on this data. Furthermore, by using augmented reality technology at the visited locations, it provides guidance information tailored to the tourist's interests in real time and tracks the tourist's current location, enabling it to suggest appropriate additional information and new tourist spots as needed. This invention makes it possible to make the tourist experience more efficient and personalized.

[0006] A "tourist" refers to an individual who travels to a specific region with the purpose of enjoying its culture, tourist attractions, and landmarks.

[0007] "Travel records" refer to data that meticulously records which places tourists visited and which routes they took.

[0008] "Interest information" refers to data indicating the categories of places tourists are interested in visiting or their interests in specific locations.

[0009] An "optimized route" refers to a travel plan that takes into account the interests of tourists and time efficiency, and visits tourist attractions in the most appropriate order and method.

[0010] Augmented reality technology refers to the technology of overlaying digital information onto images of the real world.

[0011] "Guide information" refers to information that provides tourists with an easy-to-understand overview of the history, culture, and attractions of a tourist destination.

[0012] "Real-time tracking" refers to a method of instantly obtaining a tourist's current location and processing it accordingly in a timely manner.

[0013] "Additional information" refers to information that was not included in the original plan but is provided based on the interests and behaviors of tourists. [Brief explanation of the drawing]

[0014] [Figure 1]It is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] It is a conceptual diagram showing an example of the main functions of a data processing device and a smart device according to the first embodiment. [Figure 3] It is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] It 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] It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It 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] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It 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] It shows an emotion map to which a plurality of emotions are mapped. [Figure 10] It shows an emotion map to which a plurality of emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when an emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when an emotion engine is combined.

MODE FOR CARRYING OUT THE INVENTION

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

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

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

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

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

[0020] In the following embodiments, the labeled communication I / F (Interface) is an interface including a communication processor and an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark), and the like.

[0021] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0022] [First Embodiment]

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

[0024] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0025] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0026] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0027] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0028] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0029] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

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

[0031] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0032] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0033] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0034] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0035] This invention is a system that provides individually optimized tourist routes based on a tourist's past travel records and interest information. The main components of the system include a terminal for collecting tourist information, a server for receiving and processing that information, and augmented reality (AR) technology for providing the actual guidance.

[0036] Information gathering and profile generation

[0037] Users enter their interests in destinations and places they have visited in the past into the application. The device collects this data and sends it to the server. The server uses this information to build a user profile and stores it in a database. This profile registers travel preferences and categories of tourist destinations they would like to visit.

[0038] Tourist route generation

[0039] The server uses the user's profile and the latest tourist destination data to generate the most suitable sightseeing route for the user. The generated route is adjusted considering time efficiency and priority of interest, and then sent to the user's device. For example, a user who likes historical buildings will be offered a route connecting major temples and historical sites.

[0040] Local guidance and information provision

[0041] When the user arrives at their destination, the device uses GPS to confirm their location. The device then uses augmented reality (AR) technology to overlay information about the tourist spot onto the user's location. This provides a visual and intuitive way to learn about the history and descriptions of the tourist destination.

[0042] Furthermore, the server tracks the user's movements in real time and sends additional tourist information to the device, such as recommended spots and events in the vicinity. For example, if there is an unexpectedly interesting museum nearby, the system is designed to immediately notify the user of that information as well.

[0043] This system allows users to have a more fulfilling sightseeing experience and make the most of their time at tourist destinations. In this embodiment of the invention, flexible sightseeing guidance tailored to the individual needs of tourists is realized.

[0044] The following describes the processing flow.

[0045] Step 1:

[0046] Users input their interests and past travel history through an application on their device. The device collects this information and sends it to a server.

[0047] Step 2:

[0048] The server creates individual user profiles based on the received user information. These profiles include categories of tourist attractions of particular interest and places visited in the past.

[0049] Step 3:

[0050] The server retrieves the latest tourist destination information from external tourist destination databases and APIs and stores it in its database. The server then analyzes this information to evaluate the attributes and congestion levels of each tourist destination.

[0051] Step 4:

[0052] The server integrates user profiles and tourist destination information to generate an optimal sightseeing route. This route maximizes the user's interests while also considering time efficiency. This information is then transmitted to the terminal.

[0053] Step 5:

[0054] When the device uses GPS to confirm that the user has arrived at a tourist destination, it activates the AR function. The device then visually presents the user with local information (history, points of interest, etc.).

[0055] Step 6:

[0056] The server monitors the user's current location and surrounding conditions in real time, and sends additional tourist and event information to the device. This allows users to enjoy unexpected tourist spots.

[0057] Step 7:

[0058] The device will present users with the latest information it has acquired and suggest further sightseeing routes. This will personalize and enrich their sightseeing experience.

[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] For travelers visiting tourist destinations, creating an efficient and engaging itinerary tailored to their individual interests and preferences is not easy. Furthermore, providing local information and responding smoothly to unexpected points of interest presents significant challenges. Additionally, it's crucial to enhance the quality of the experience by setting appropriate visiting times, taking into account factors such as congestion at tourist spots and the order in which travelers are expected to visit them.

[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 a device for acquiring movement data and interest information, a device for designing personalized routes, and a device for creating user profiles using a generative AI model. This enables the provision of optimal tourist routes based on the individual interests of travelers, real-time information provision, and adjustment of plans according to congestion levels.

[0064] "Movement data" refers to information that shows a person's past and present location and movement history.

[0065] "Interest information" refers to information about travelers' interests and preferences, which influences their choices of destinations and activities.

[0066] The term "device" refers to hardware and software designed to perform a specific function.

[0067] A "route design device" is a device that has the function of generating an optimized travel route based on acquired travel data and interest information.

[0068] Augmented reality technology is a technology that provides users with real-time visual information by overlaying digital information onto information from the real world.

[0069] "Real-time confirmation" refers to understanding a phenomenon or situation that is currently unfolding at that very moment.

[0070] A "generative AI model" is an artificial intelligence model that uses machine learning techniques to generate specific patterns and characteristics based on data, and then performs inference and prediction.

[0071] A "profile creation device" is a device that collects attribute information such as the hobbies, preferences, and behavioral patterns of travelers and compiles it into a single dataset.

[0072] A "device that provides additional information" is a device that has the function of providing users with additional related information in addition to basic information.

[0073] One embodiment of this invention is a system that provides tourists with personalized and optimal sightseeing routes. This system mainly consists of terminals and a server.

[0074] The user uses an application on their device to input their interests and past visit history. The device receives this information and sends it to the server as a data packet. The device has GPS functionality, enabling location tracking and on-site guidance.

[0075] The server uses an AI model based on the received data to generate user profiles. These profiles include priority information for tourist destinations based on the user's interests. The generated profiles are stored in a database and used to design tourist routes.

[0076] The server also collects the latest information on each tourist destination and generates optimized sightseeing routes based on the user profile. This process takes into account time efficiency and the characteristics of each destination to create a sightseeing plan. The generated route information is sent to the terminal, and the user can then use it to plan their sightseeing.

[0077] When a user arrives at a tourist destination, the device acquires location information and displays local information using augmented reality technology. For example, if a user points the camera at a tourist destination, relevant information will be overlaid on the screen. This feature makes it easier to visually understand the history and characteristics of the tourist destination.

[0078] Furthermore, the server tracks the user's location and visits based on data collected in real time, and provides information on new spots and events in the surrounding area. This information is immediately notified to the user, allowing them to enjoy sightseeing without missing out on places or events that interest them.

[0079] As a concrete example, when a user inputs a prompt such as "Tell me a route to see Kyoto's historical buildings" into the AI ​​model, the system quickly suggests the optimal route and related information. This allows users to have a fulfilling sightseeing experience tailored to their interests.

[0080] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0081] Step 1:

[0082] Users input their interests and visit history through the application. This input includes keywords for specific tourist spots and preferred categories. The device collects this information and forms data packets to send to the server. These data packets reflect the user's interests and past behavior.

[0083] Step 2:

[0084] The server receives data packets sent from the terminal and generates a user profile using a generative AI model. During this profile creation process, the server extracts characteristic data based on past visit history and user interests. The profile includes data such as tourist destination categories and the user's areas of interest. This information is stored in a database for later processing.

[0085] Step 3:

[0086] The server generates the optimal sightseeing route using the generated user profile and the latest tourist destination information. In this process, the server uses algorithms to calculate the route, taking into account time efficiency and the priority of tourist destinations. Based on the input profile information, a route that prioritizes the tourist destinations desired by the user is formulated, and the result is sent to the terminal as route data.

[0087] Step 4:

[0088] When the user arrives at their destination, the device uses GPS to track their location in real time. Based on this location information, the device utilizes augmented reality technology to visually display the history and characteristics of the tourist spot. By using the current location information as input and outputting relevant tourist guide information, the user can obtain detailed information, including the historical background of the area.

[0089] Step 5:

[0090] The server tracks the user's current location in real time and retrieves information on new spots and events in the vicinity, notifying the user's device. This involves analyzing and outputting additional information that can be provided immediately, using the latest tourist destination database and the user's interests as input. This gives users the opportunity to visit unexpected new spots.

[0091] (Application Example 1)

[0092] 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."

[0093] In modern tourism, it is desirable to obtain customized information in real time based on individual interests and location. However, conventional systems often provide static and limited information, making it difficult to improve the quality of the tourism experience. Therefore, there is a need for a means to dynamically provide information according to the tourist's interests and location, and to realize immersive guidance even in urban environments.

[0094] 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.

[0095] In this invention, the server includes a device for collecting tourist movement records and interest information, a device for generating customized and optimized routes, a device for providing guide information at visited locations using augmented reality technology, a device for tracking tourist locations in real time and providing additional information, a device for visualizing additional tourist destination information and nearby activity information in real time, and a device for providing dynamic guidance to tourists within an urban environment. This allows tourists to receive information tailored to their individual interests on the spot, enabling a dynamic and intuitive sightseeing experience.

[0096] "Travel records" refer to historical information about all the places a tourist has visited in the past.

[0097] "Interest information" refers to information about themes and places that tourists are particularly interested in.

[0098] An "optimized route" is a route that takes into account the interests of tourists and the efficiency of their travel to the greatest extent possible.

[0099] Augmented reality technology is a technology that overlays digital information onto the real world for visual display.

[0100] "Guide information" refers to descriptive information about tourist destinations, such as their history and characteristics.

[0101] "Real-time tracking" means instantly determining the current location of tourists.

[0102] "Additional information" refers to information that is likely to be newly useful to tourists.

[0103] A "visualization device" is a device or technology used to present information visually.

[0104] "Dynamic guidance within an urban environment" refers to providing tourists on the move with information that adapts to their changing circumstances.

[0105] To realize this invention, multiple hardware and software components are required. First, the user installs a dedicated application on their smartphone or smart glasses. This application utilizes a GPS module and input interface to collect the user's movement records and interest information. The collected information is transmitted to a server in the cloud, where the data is stored and analyzed.

[0106] The server's role is to build tourist profiles based on this information and generate optimal travel routes. This process is performed using advanced data analysis software (e.g., Python, TENSORFLOW®). The generated route information is sent to the user's device via a real-time database (e.g., Firebase).

[0107] The user's device displays tourist information using augmented reality technology (e.g., ARKit, ARCore) based on their arrival location. This allows the user to visually understand the history and characteristics of the place they are visiting. The server also monitors the user's location in real time and dynamically provides new tourist spots and event information that match their interests. This enables the user to have a richer sightseeing experience within an urban environment.

[0108] For example, a user visiting a historical city can receive real-time information about nearby museums and events through smart glasses. By utilizing generative AI models, it becomes possible to provide users with constantly fresh and relevant information tailored to their interests.

[0109] An example of a prompt might be, "How can I suggest a sightseeing route in a historical city and visualize real-time guide information?"

[0110] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0111] Step 1:

[0112] The user launches a dedicated application and enters their interests. The entered data includes preferences for tourist destinations and information about places they have visited in the past, and this data is collected by the terminal. The terminal then prepares to send this data to the server.

[0113] Step 2:

[0114] The server receives user interest information and movement records sent from the terminal. Based on this data, the server generates a user profile in the database. Data processing involves classifying user interests into categories and integrating them with past visit data. In other words, the input user data is structured into a profile.

[0115] Step 3:

[0116] The server uses the generated user profile to calculate the optimal sightseeing route. It uses the user's interest categories and the latest tourist destination data as input for data calculations. As output, it stores the user-appropriate sightseeing route information in a real-time database, preparing it for later transmission.

[0117] Step 4:

[0118] When a user arrives at a tourist destination, the device uses GPS to confirm their location. The input is the current location information, and the output is tourist destination-specific guide information based on the current location. The device visualizes this information using augmented reality technology and provides it to the user.

[0119] Step 5:

[0120] The server considers the user's current location and profile to send real-time recommendations for nearby tourist spots and events. Input consists of location data and profile information, which are then used for data analysis to generate highly relevant new tourist information. This allows the device to provide additional guidance to the user.

[0121] 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.

[0122] This invention is a personalized tourist guidance system that combines tourist movement records and interest information with an emotion engine that recognizes user emotions. This system generates optimal tourist routes based on the tourist's emotions and interests, improving the user experience in real time.

[0123] Information gathering and emotion recognition

[0124] Users use a device to record their emotions at tourist destinations. The device is equipped with an emotion engine that uses a camera and sensors to detect the user's emotional state. This allows the system to determine whether the user is excited, relaxed, or stressed. The collected emotion data, along with other interest information and travel history, is sent to a server.

[0125] Tourist route generation and adjustment

[0126] The server generates the optimal sightseeing route based on the user profile and emotional data. For example, if the user is seeking relaxation, the route can include quiet museums and parks. Furthermore, if the user's emotions change, the server automatically modifies the route and sends new suggestions to the device.

[0127] Guided by augmented reality technology

[0128] When a user arrives at a tourist destination, the device utilizes augmented reality (AR) capabilities to provide guide information tailored to the location. Based on emotional data, the way information is presented and its content are also customized. For example, if a user shows intellectual curiosity, detailed historical information and background explanations will be prioritized.

[0129] Real-time information provision and emotional response

[0130] The server monitors the user's location and emotional changes in real time, suggesting additional sightseeing information and special recommendations at the appropriate time. For example, if the user indicates fatigue, it will display information about nearby cafes and rest areas. In this way, an optimal sightseeing experience tailored to the user's current emotional state can be achieved.

[0131] For example, by highlighting the next activity to users who seem excited and suggesting interesting spots to users who seem bored, it is possible to always provide a sightseeing plan that fits the user's emotions. This invention makes it possible to further improve the tourist experience and increase satisfaction.

[0132] The following describes the processing flow.

[0133] Step 1:

[0134] The user launches the application on their device and enters their purpose for visiting the destination and their past travel history. The device collects this data and sends it to the server.

[0135] Step 2:

[0136] The emotion engine built into the device uses sensors and cameras to analyze the user's facial expressions and voice tone, determining their current emotional state. The resulting emotional data is then sent to a server.

[0137] Step 3:

[0138] The server builds a user profile based on the received user interest information and emotional state data. This prepares the server for generating individually optimized sightseeing routes.

[0139] Step 4:

[0140] The server considers emotional data acquired in real time to generate a sightseeing route tailored to the user. This route takes into account not only physical efficiency but also emotional satisfaction. The generated route information is sent to the terminal.

[0141] Step 5:

[0142] When a user arrives at a tourist destination, the device uses GPS to pinpoint its location and activates AR functionality. It then considers emotional data and provides guidance information that matches the user's emotions (e.g., relaxing scenes, exciting attractions).

[0143] Step 6:

[0144] The server monitors the user's location and emotional changes in real time and suggests additional sightseeing spots and resting places accordingly. For example, if the user is feeling stressed, it might recommend a nearby park or cafe.

[0145] Step 7:

[0146] The device personalizes and optimizes the sightseeing experience by presenting users with new route suggestions and emotionally-driven activities based on information received from the server. Users can receive new suggestions through the device and enjoy an even more comfortable sightseeing experience.

[0147] (Example 2)

[0148] 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".

[0149] Traditional tourist information systems have struggled to adapt to changes in tourists' emotions and interests by adjusting tour routes accordingly, resulting in a failure to adequately enhance individual tourist satisfaction. Furthermore, the lack of real-time information provision limits their ability to provide tourists with the optimal experience.

[0150] 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.

[0151] In this invention, the server includes means for recognizing the emotional state of tourists using sensors and collecting emotional data, means for generating an optimized route for tourists based on the collected emotional data and interest information, and means for providing the generated tourist route to an information processing device used by the tourist. This makes it possible to provide an optimal tourist route that responds immediately to changes in the tourist's emotions and to realize a highly satisfying tourist experience tailored to individual tourists through real-time information adjustments.

[0152] "Emotional state" refers to the psychological state of tourists, such as excitement, relaxation, and stress, and this is used to adjust the tourist information provided.

[0153] A "sensor" is a device used to recognize the emotional state of tourists, and it collects data using cameras and biometric technology.

[0154] "Emotional data" refers to information that quantifies or categorizes the emotional state of tourists, and is used to generate and adjust tourist routes.

[0155] "Interest information" refers to information about tourist destinations and activities that tourists are interested in, and is used to generate personalized tourist routes.

[0156] An "optimized route" is a suggested itinerary and route that is best suited to a tourist, calculated based on their emotional state, interests, current location, and other factors.

[0157] An "information processing device" refers to a portable electronic device carried by tourists and used to receive and display emotional data and optimized routes.

[0158] Augmented reality technology is a technique that overlays virtual information onto the real world environment and is used to provide tourists with guide information about their destinations.

[0159] "Location tracking" is a technology that allows us to understand the current location of tourists in real time and is used to coordinate tourist information.

[0160] To implement this invention, a terminal carried by tourists and a server are required. The terminal is equipped with high-performance sensors and cameras, enabling it to recognize the tourist's emotional state in real time. Specifically, an emotion engine processes facial expression data and biometric data obtained through this hardware to generate emotion data.

[0161] The server has the function of generating tourist-optimized sightseeing routes based on sentiment data transmitted from the terminal and the user profile, using a generative AI model. The generated route and related information are sent to the terminal and displayed to the tourist intuitively. Specifically, the software used is a generative AI model, which makes optimal suggestions based on various input data from the tourist. An example of a prompt message that is input to the generative AI model is "Tell me which tourist spot I should visit next."

[0162] The device also features augmented reality (AR) capabilities, which provide guide information for visitors at the locations they visit. For example, when standing in front of a historical building, the historical background and notable features of the place are visualized via AR. Through this guide, users can instantly obtain useful information tailored to their interests and feelings.

[0163] In addition, the server tracks the tourist's location and emotional changes, updating suggestions as needed. For example, if a tourist is tired and needs a break, the server instructs the device to display information about nearby cafes and restaurants. In this way, it is possible to provide tourists with an optimized and personalized experience.

[0164] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0165] Step 1:

[0166] The user carries a device and visits a tourist destination. The device uses its built-in camera and sensors to capture the user's facial expressions and biodata. The input is the user's facial expression data, and an emotion engine analyzes this data to determine the user's emotional state (e.g., excitement, relaxation, stress). Emotional data is generated as output.

[0167] Step 2:

[0168] The device sends collected emotional data and interest information to the server. The server, upon receiving this input data, analyzes it in conjunction with the tourist's profile. A generative AI model uses this data to generate an optimal sightseeing route suited to the tourist's emotional state and profile. As output, the generated sightseeing route is sent back to the device.

[0169] Step 3:

[0170] The user receives a suggested sightseeing route on their device and activates the device's augmented reality (AR) function upon arrival at the destination. The AR function displays guide information about the relevant tourist spot based on the device's location information and information received from the server. Location information is the input, and relevant guide information is generated using the AR function. As output, the user is presented with visually displayed guide information.

[0171] Step 4:

[0172] The server tracks the user's location and emotional changes in real time. If the user becomes tired, for example, the server uses a generative AI model to generate prompts suggesting the next action. For example, it might input the prompt "Tell me about nearby cafes" into the generative AI model and send the acquired information to the user's device. As output, information about suitable places to rest is sent to the user's device.

[0173] Step 5:

[0174] Based on the information received from the device, the user selects their next destination or rest stop and continues sightseeing. The device then collects new emotional and interest data, and the process repeats. This cycle ensures that the user always receives the latest information and a personalized sightseeing experience based on their emotions. New emotional and interest data serves as input, and the entire system utilizes this data to optimize the sightseeing experience.

[0175] (Application Example 2)

[0176] 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".

[0177] Conventional tourist information systems were limited to providing information based on tourists' interests, making it difficult to offer personalized experiences tailored to the user's emotions. Furthermore, adjusting tourist routes in real-time to changing circumstances was challenging, posing a challenge in improving tourist satisfaction.

[0178] 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.

[0179] In this invention, the server includes means for collecting tourist movement records and interest information, means for recognizing the user's emotional state, and means for generating an optimized route for the tourist based on the collected information and emotions, and for modifying the route in real time according to changes in emotions and sending new suggestions to the terminal. This makes it possible to provide the optimal tourist route in real time according to the user's emotional state and improve the individual experience.

[0180] "Tourist travel records" are data that records the places and routes visited by tourists in chronological order.

[0181] "Interest information" refers to data about specific places or activities that tourists are interested in.

[0182] "Means of recognizing emotional states" refers to technologies that infer emotions from a user's facial expressions, tone of voice, etc., and acquire them as data.

[0183] "Means for generating optimized routes" refers to technologies that utilize collected data to calculate the most suitable tourist route for visitors.

[0184] "A means of correcting routes in real time" refers to a technology that immediately recalculates and updates tourist routes in accordance with the current emotional state of tourists.

[0185] Augmented reality technology is a technology that overlays digital information onto real-world information to provide users with an enhanced visual experience.

[0186] "Means of providing additional information" refers to technologies that monitor tourists' locations and emotions and immediately provide information and suggestions tailored to their situation.

[0187] "Means of customizing information based on the user's emotions at a visited location" refers to technologies that appropriately change the content and method of information presented according to the user's emotional state.

[0188] To implement this invention, a mobile terminal for tourists and a cloud server are primarily used. The terminal is equipped with a camera and sensors, and an engine operates to recognize the emotional state of the tourist. Emotional state, travel records, and interest information are transmitted to the server in real time, and an optimized tourist route is generated. To provide augmented reality technology, the terminal is also equipped with an AR-compatible display.

[0189] The server processes the collected data and provides optimal guidance to tourists in real time. Specifically, it prioritizes information that aligns with the user's mood, such as quiet or lively places, based on their current emotions. The server also tracks the tourist's location and adjusts the route as needed.

[0190] The software used includes emotion recognition models and AR systems. For example, emotion recognition utilizes image processing and machine learning libraries such as OpenCV and TensorFlow, while AR rendering uses ARKit and ARCore.

[0191] As a concrete example, if a child appears tired during a family sightseeing trip, the server can quickly suggest nearby rest spots. In this case, an example of a prompt to the generating AI model would be: "When a family is sightseeing and it is detected that the child is emotionally tired, please suggest the next action."

[0192] As a result, users will be able to enjoy a more personalized travel experience.

[0193] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0194] Step 1:

[0195] The device uses a camera and sensors to capture the tourist's facial expressions and voice, and detect their emotional state. The input is real-time video and audio data, and the output is an emotional status (e.g., "happy," "tired," etc.) analyzed by an emotion recognition engine.

[0196] Step 2:

[0197] The device transmits the tourist's emotional state, movement records, and interest information to the server. Inputs include emotional state, location data, and interest-related data, while output is a message packet containing this data.

[0198] Step 3:

[0199] The server processes the received data and generates the optimal sightseeing route based on the user's current emotional state and interests. Data processing is performed using a generative AI model, and sightseeing guidance is provided using prompts. The output includes sightseeing route information and activity suggestions.

[0200] Step 4:

[0201] The server sends the generated sightseeing route to the device and uses AR functionality to visually guide the user. The input is route information generated on the server side, and the output is an AR guide map displayed on the device.

[0202] Step 5:

[0203] Once the user begins sightseeing, the device continuously sends location information and emotional state data to the server. The input is real-time location information and changing emotional data, and the output is periodic data updates to the server.

[0204] Step 6:

[0205] The server detects changes in the user's state and instantly adjusts the sightseeing route based on the new emotional state. The input is the changed emotional data, and the output is the revised sightseeing route.

[0206] Step 7:

[0207] The terminal receives the updated tourist route and provides new directions to the user. The input is the updated route information, and the output is the latest directions for the user.

[0208] 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.

[0209] 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.

[0210] 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.

[0211] [Second Embodiment]

[0212] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0213] 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.

[0214] 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).

[0215] 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.

[0216] 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.

[0217] 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).

[0218] 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.

[0219] 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.

[0220] 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.

[0221] 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.

[0222] 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.

[0223] 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".

[0224] This invention is a system that provides individually optimized tourist routes based on a tourist's past travel records and interest information. The main components of the system include a terminal for collecting tourist information, a server for receiving and processing that information, and augmented reality (AR) technology for providing the actual guidance.

[0225] Information gathering and profile generation

[0226] Users enter their interests in destinations and places they have visited in the past into the application. The device collects this data and sends it to the server. The server uses this information to build a user profile and stores it in a database. This profile registers travel preferences and categories of tourist destinations they would like to visit.

[0227] Tourist route generation

[0228] The server uses the user's profile and the latest tourist destination data to generate the most suitable sightseeing route for the user. The generated route is adjusted considering time efficiency and priority of interest, and then sent to the user's device. For example, a user who likes historical buildings will be offered a route connecting major temples and historical sites.

[0229] Local guidance and information provision

[0230] When the user arrives at their destination, the device uses GPS to confirm their location. The device then uses augmented reality (AR) technology to overlay information about the tourist spot onto the user's location. This provides a visual and intuitive way to learn about the history and descriptions of the tourist destination.

[0231] Furthermore, the server tracks the user's movements in real time and sends additional tourist information to the device, such as recommended spots and events in the vicinity. For example, if there is an unexpectedly interesting museum nearby, the system is designed to immediately notify the user of that information as well.

[0232] This system allows users to have a more fulfilling sightseeing experience and make the most of their time at tourist destinations. In this embodiment of the invention, flexible sightseeing guidance tailored to the individual needs of tourists is realized.

[0233] The following describes the processing flow.

[0234] Step 1:

[0235] Users input their interests and past travel history through an application on their device. The device collects this information and sends it to a server.

[0236] Step 2:

[0237] The server creates individual user profiles based on the received user information. These profiles include categories of tourist attractions of particular interest and places visited in the past.

[0238] Step 3:

[0239] The server retrieves the latest tourist destination information from external tourist destination databases and APIs and stores it in its database. The server then analyzes this information to evaluate the attributes and congestion levels of each tourist destination.

[0240] Step 4:

[0241] The server integrates user profiles and tourist destination information to generate an optimal sightseeing route. This route maximizes the user's interests while also considering time efficiency. This information is then transmitted to the terminal.

[0242] Step 5:

[0243] When the device uses GPS to confirm that the user has arrived at a tourist destination, it activates the AR function. The device then visually presents the user with local information (history, points of interest, etc.).

[0244] Step 6:

[0245] The server monitors the user's current location and surrounding conditions in real time, and sends additional tourist and event information to the device. This allows users to enjoy unexpected tourist spots.

[0246] Step 7:

[0247] The device will present users with the latest information it has acquired and suggest further sightseeing routes. This will personalize and enrich their sightseeing experience.

[0248] (Example 1)

[0249] 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".

[0250] For travelers visiting tourist destinations, creating an efficient and engaging itinerary tailored to their individual interests and preferences is not easy. Furthermore, providing local information and responding smoothly to unexpected points of interest presents significant challenges. Additionally, it's crucial to enhance the quality of the experience by setting appropriate visiting times, taking into account factors such as congestion at tourist spots and the order in which travelers are expected to visit them.

[0251] 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.

[0252] In this invention, the server includes a device for acquiring movement data and interest information, a device for designing personalized routes, and a device for creating user profiles using a generative AI model. This enables the provision of optimal tourist routes based on the individual interests of travelers, real-time information provision, and adjustment of plans according to congestion levels.

[0253] "Movement data" refers to information that shows a person's past and present location and movement history.

[0254] "Interest information" refers to information about travelers' interests and preferences, which influences their choices of destinations and activities.

[0255] The term "device" refers to hardware and software designed to perform a specific function.

[0256] A "route design device" is a device that has the function of generating an optimized travel route based on acquired travel data and interest information.

[0257] Augmented reality technology is a technology that provides users with real-time visual information by overlaying digital information onto information from the real world.

[0258] "Real-time confirmation" refers to understanding a phenomenon or situation that is currently unfolding at that very moment.

[0259] A "generative AI model" is an artificial intelligence model that uses machine learning techniques to generate specific patterns and characteristics based on data, and then performs inference and prediction.

[0260] A "profile creation device" is a device that collects attribute information such as the hobbies, preferences, and behavioral patterns of travelers and compiles it into a single dataset.

[0261] A "device that provides additional information" is a device that has the function of providing users with additional related information in addition to basic information.

[0262] One embodiment of this invention is a system that provides tourists with personalized and optimal sightseeing routes. This system mainly consists of terminals and a server.

[0263] The user uses an application on their device to input their interests and past visit history. The device receives this information and sends it to the server as a data packet. The device has GPS functionality, enabling location tracking and on-site guidance.

[0264] The server uses an AI model based on the received data to generate user profiles. These profiles include priority information for tourist destinations based on the user's interests. The generated profiles are stored in a database and used to design tourist routes.

[0265] The server also collects the latest information on each tourist destination and generates optimized sightseeing routes based on the user profile. This process takes into account time efficiency and the characteristics of each destination to create a sightseeing plan. The generated route information is sent to the terminal, and the user can then use it to plan their sightseeing.

[0266] When a user arrives at a tourist destination, the device acquires location information and displays local information using augmented reality technology. For example, if a user points the camera at a tourist destination, relevant information will be overlaid on the screen. This feature makes it easier to visually understand the history and characteristics of the tourist destination.

[0267] Furthermore, the server tracks the user's location and visits based on data collected in real time, and provides information on new spots and events in the surrounding area. This information is immediately notified to the user, allowing them to enjoy sightseeing without missing out on places or events that interest them.

[0268] As a concrete example, when a user inputs a prompt such as "Tell me a route to see Kyoto's historical buildings" into the AI ​​model, the system quickly suggests the optimal route and related information. This allows users to have a fulfilling sightseeing experience tailored to their interests.

[0269] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0270] Step 1:

[0271] Users input their interests and visit history through the application. This input includes keywords for specific tourist spots and preferred categories. The device collects this information and forms data packets to send to the server. These data packets reflect the user's interests and past behavior.

[0272] Step 2:

[0273] The server receives data packets sent from the terminal and generates a user profile using a generative AI model. During this profile creation process, the server extracts characteristic data based on past visit history and user interests. The profile includes data such as tourist destination categories and the user's areas of interest. This information is stored in a database for later processing.

[0274] Step 3:

[0275] The server generates the optimal sightseeing route using the generated user profile and the latest tourist destination information. In this process, the server uses algorithms to calculate the route, taking into account time efficiency and the priority of tourist destinations. Based on the input profile information, a route that prioritizes the tourist destinations desired by the user is formulated, and the result is sent to the terminal as route data.

[0276] Step 4:

[0277] When the user arrives at their destination, the device uses GPS to track their location in real time. Based on this location information, the device utilizes augmented reality technology to visually display the history and characteristics of the tourist spot. By using the current location information as input and outputting relevant tourist guide information, the user can obtain detailed information, including the historical background of the area.

[0278] Step 5:

[0279] The server tracks the user's current location in real time and retrieves information on new spots and events in the vicinity, notifying the user's device. This involves analyzing and outputting additional information that can be provided immediately, using the latest tourist destination database and the user's interests as input. This gives users the opportunity to visit unexpected new spots.

[0280] (Application Example 1)

[0281] Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as a "server", and the smart glasses 214 are referred to as a "terminal".

[0282] In modern tourism, it is desirable to obtain customized information in real time based on individual interests and locations. However, in conventional systems, it often remains at static and limited information provision, making it difficult to improve the quality of the tourism experience. For this reason, there is a demand for providing means to dynamically provide information according to the interests and locations of tourists and to realize immersive guidance even in an urban environment.

[0283] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0284] In this invention, the server includes a device that collects the movement records and interest information of tourists, a device that generates a customized optimized route, a device that provides guide information at visited locations using augmented reality technology, a device that tracks the position of tourists in real time and provides additional information, a device that visualizes additional tourist destination information and nearby activity information in real time, and a device that provides dynamic guidance to tourists within an urban environment. As a result, tourists can receive information according to their individual interests on the spot, enabling a dynamic and intuitive tourism experience.

[0285] "Movement record" is the historical information of all the places visited by tourists.

[0286] "Interest information" is information about themes and places that tourists are particularly interested in.

[0287] "Optimized route" is a route that maximally takes into account the interests and movement efficiency of tourists.

[0288] "Augmented reality technology" is a technology that visually displays digital information overlaid on the real world.

[0289] "Guide information" refers to descriptive information about tourist destinations, such as their history and characteristics.

[0290] "Real-time tracking" means instantly determining the current location of tourists.

[0291] "Additional information" refers to information that is likely to be newly useful to tourists.

[0292] A "visualization device" is a device or technology used to present information visually.

[0293] "Dynamic guidance within an urban environment" refers to providing tourists on the move with information that adapts to their changing circumstances.

[0294] To realize this invention, multiple hardware and software components are required. First, the user installs a dedicated application on their smartphone or smart glasses. This application utilizes a GPS module and input interface to collect the user's movement records and interest information. The collected information is transmitted to a server in the cloud, where the data is stored and analyzed.

[0295] The server's role is to build tourist profiles based on this information and generate optimal travel routes. This process is performed using advanced data analysis software (e.g., Python, TensorFlow). The generated route information is sent to the user's device via a real-time database (e.g., Firebase).

[0296] The user's device displays tourist information using augmented reality technology (e.g., ARKit, ARCore) based on their arrival location. This allows the user to visually understand the history and characteristics of the place they are visiting. The server also monitors the user's location in real time and dynamically provides new tourist spots and event information that match their interests. This enables the user to have a richer sightseeing experience within an urban environment.

[0297] For example, a user visiting a historical city can receive real-time information about nearby museums and events through smart glasses. By utilizing generative AI models, it becomes possible to provide users with constantly fresh and relevant information tailored to their interests.

[0298] An example of a prompt might be, "How can I suggest a sightseeing route in a historical city and visualize real-time guide information?"

[0299] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0300] Step 1:

[0301] The user launches a dedicated application and enters their interests. The entered data includes preferences for tourist destinations and information about places they have visited in the past, and this data is collected by the terminal. The terminal then prepares to send this data to the server.

[0302] Step 2:

[0303] The server receives user interest information and movement records sent from the terminal. Based on this data, the server generates a user profile in the database. Data processing involves classifying user interests into categories and integrating them with past visit data. In other words, the input user data is structured into a profile.

[0304] Step 3:

[0305] The server uses the generated user profile to calculate the optimal sightseeing route. It uses the user's interest categories and the latest tourist destination data as input for data calculations. As output, it stores the user-appropriate sightseeing route information in a real-time database, preparing it for later transmission.

[0306] Step 4:

[0307] When the user arrives at a tourist destination, the terminal uses the GPS function to confirm the position. The input is the current position information, and as output, tourist destination-specific guide information based on the current location can be obtained. The terminal visualizes this using augmented reality technology and provides it to the user.

[0308] Step 5:

[0309] The server considers the user's current position and profile and sends out recommended tourist spots and event information in the vicinity in real time. The input is the position data and profile information, and based on this, data analysis is performed to generate highly relevant new tourist information as output. As a result, the terminal can provide additional guidance to the user.

[0310] Furthermore, an emotion engine for estimating the user's emotions may be combined. That is, the specific processing unit 290 may estimate the user's emotions using the emotion recognition model 59 and perform specific processing using the user's emotions.

[0311] The present invention is a personalized tourist guidance system that combines an emotion engine for recognizing the user's emotions in addition to the movement records and interest information of tourists. This system generates an optimal tourist route based on the emotions and interests of tourists and improves the user experience in real time.

[0312] Information collection and emotion recognition

[0313] The user uses the terminal to record emotions at tourist destinations. The terminal is equipped with an emotion engine that detects the user's emotional state using a camera or sensors. As a result, it is possible to determine whether the user is excited, relaxed, or feeling stressed. The collected emotion data is transmitted to the server together with other interest information and movement history.

[0314] Tourist route generation and adjustment

[0315] The server generates the optimal sightseeing route based on the user profile and emotional data. For example, if the user is seeking relaxation, the route can include quiet museums and parks. Furthermore, if the user's emotions change, the server automatically modifies the route and sends new suggestions to the device.

[0316] Guided by augmented reality technology

[0317] When a user arrives at a tourist destination, the device utilizes augmented reality (AR) capabilities to provide guide information tailored to the location. Based on emotional data, the way information is presented and its content are also customized. For example, if a user shows intellectual curiosity, detailed historical information and background explanations will be prioritized.

[0318] Real-time information provision and emotional response

[0319] The server monitors the user's location and emotional changes in real time, suggesting additional sightseeing information and special recommendations at the appropriate time. For example, if the user indicates fatigue, it will display information about nearby cafes and rest areas. In this way, an optimal sightseeing experience tailored to the user's current emotional state can be achieved.

[0320] For example, by highlighting the next activity to users who seem excited and suggesting interesting spots to users who seem bored, it is possible to always provide a sightseeing plan that fits the user's emotions. This invention makes it possible to further improve the tourist experience and increase satisfaction.

[0321] The following describes the processing flow.

[0322] Step 1:

[0323] The user launches the application on their device and enters their purpose for visiting the destination and their past travel history. The device collects this data and sends it to the server.

[0324] Step 2:

[0325] The emotion engine built into the device uses sensors and cameras to analyze the user's facial expressions and voice tone, determining their current emotional state. The resulting emotional data is then sent to a server.

[0326] Step 3:

[0327] The server builds a user profile based on the received user interest information and emotional state data. This prepares the server for generating individually optimized sightseeing routes.

[0328] Step 4:

[0329] The server considers emotional data acquired in real time to generate a sightseeing route tailored to the user. This route takes into account not only physical efficiency but also emotional satisfaction. The generated route information is sent to the terminal.

[0330] Step 5:

[0331] When a user arrives at a tourist destination, the device uses GPS to pinpoint its location and activates AR functionality. It then considers emotional data and provides guidance information that matches the user's emotions (e.g., relaxing scenes, exciting attractions).

[0332] Step 6:

[0333] The server monitors the user's location and emotional changes in real time and suggests additional sightseeing spots and resting places accordingly. For example, if the user is feeling stressed, it might recommend a nearby park or cafe.

[0334] Step 7:

[0335] The device personalizes and optimizes the sightseeing experience by presenting users with new route suggestions and emotionally-driven activities based on information received from the server. Users can receive new suggestions through the device and enjoy an even more comfortable sightseeing experience.

[0336] (Example 2)

[0337] 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".

[0338] Traditional tourist information systems have struggled to adapt to changes in tourists' emotions and interests by adjusting tour routes accordingly, resulting in a failure to adequately enhance individual tourist satisfaction. Furthermore, the lack of real-time information provision limits their ability to provide tourists with the optimal experience.

[0339] 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.

[0340] In this invention, the server includes means for recognizing the emotional state of tourists using sensors and collecting emotional data, means for generating an optimized route for tourists based on the collected emotional data and interest information, and means for providing the generated tourist route to an information processing device used by the tourist. This makes it possible to provide an optimal tourist route that responds immediately to changes in the tourist's emotions and to realize a highly satisfying tourist experience tailored to individual tourists through real-time information adjustments.

[0341] "Emotional state" refers to the psychological state of tourists, such as excitement, relaxation, and stress, and this is used to adjust the tourist information provided.

[0342] A "sensor" is a device used to recognize the emotional state of tourists, and it collects data using cameras and biometric technology.

[0343] "Emotional data" refers to information that quantifies or categorizes the emotional state of tourists, and is used to generate and adjust tourist routes.

[0344] "Interest information" refers to information about tourist destinations and activities that tourists are interested in, and is used to generate personalized tourist routes.

[0345] An "optimized route" is a suggested itinerary and route that is best suited to a tourist, calculated based on their emotional state, interests, current location, and other factors.

[0346] An "information processing device" refers to a portable electronic device carried by tourists and used to receive and display emotional data and optimized routes.

[0347] Augmented reality technology is a technique that overlays virtual information onto the real world environment and is used to provide tourists with guide information about their destinations.

[0348] "Location tracking" is a technology that allows us to understand the current location of tourists in real time and is used to coordinate tourist information.

[0349] To implement this invention, a terminal carried by tourists and a server are required. The terminal is equipped with high-performance sensors and cameras, enabling it to recognize the tourist's emotional state in real time. Specifically, an emotion engine processes facial expression data and biometric data obtained through this hardware to generate emotion data.

[0350] The server has the function of generating tourist-optimized sightseeing routes based on sentiment data transmitted from the terminal and the user profile, using a generative AI model. The generated route and related information are sent to the terminal and displayed to the tourist intuitively. Specifically, the software used is a generative AI model, which makes optimal suggestions based on various input data from the tourist. An example of a prompt message that is input to the generative AI model is "Tell me which tourist spot I should visit next."

[0351] The device also features augmented reality (AR) capabilities, which provide guide information for visitors at the locations they visit. For example, when standing in front of a historical building, the historical background and notable features of the place are visualized via AR. Through this guide, users can instantly obtain useful information tailored to their interests and feelings.

[0352] In addition, the server tracks the tourist's location and emotional changes, updating suggestions as needed. For example, if a tourist is tired and needs a break, the server instructs the device to display information about nearby cafes and restaurants. In this way, it is possible to provide tourists with an optimized and personalized experience.

[0353] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0354] Step 1:

[0355] The user carries a device and visits a tourist destination. The device uses its built-in camera and sensors to capture the user's facial expressions and biodata. The input is the user's facial expression data, and an emotion engine analyzes this data to determine the user's emotional state (e.g., excitement, relaxation, stress). Emotional data is generated as output.

[0356] Step 2:

[0357] The device sends collected emotional data and interest information to the server. The server, upon receiving this input data, analyzes it in conjunction with the tourist's profile. A generative AI model uses this data to generate an optimal sightseeing route suited to the tourist's emotional state and profile. As output, the generated sightseeing route is sent back to the device.

[0358] Step 3:

[0359] The user receives a suggested sightseeing route on their device and activates the device's augmented reality (AR) function upon arrival at the destination. The AR function displays guide information about the relevant tourist spot based on the device's location information and information received from the server. Location information is the input, and relevant guide information is generated using the AR function. As output, the user is presented with visually displayed guide information.

[0360] Step 4:

[0361] The server tracks the user's location and emotional changes in real time. If the user becomes tired, for example, the server uses a generative AI model to generate prompts suggesting the next action. For example, it might input the prompt "Tell me about nearby cafes" into the generative AI model and send the acquired information to the user's device. As output, information about suitable places to rest is sent to the user's device.

[0362] Step 5:

[0363] Based on the information received from the device, the user selects their next destination or rest stop and continues sightseeing. The device then collects new emotional and interest data, and the process repeats. This cycle ensures that the user always receives the latest information and a personalized sightseeing experience based on their emotions. New emotional and interest data serves as input, and the entire system utilizes this data to optimize the sightseeing experience.

[0364] (Application Example 2)

[0365] 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."

[0366] Conventional tourist information systems were limited to providing information based on tourists' interests, making it difficult to offer personalized experiences tailored to the user's emotions. Furthermore, adjusting tourist routes in real-time to changing circumstances was challenging, posing a challenge in improving tourist satisfaction.

[0367] 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.

[0368] In this invention, the server includes means for collecting tourist movement records and interest information, means for recognizing the user's emotional state, and means for generating an optimized route for the tourist based on the collected information and emotions, and for modifying the route in real time according to changes in emotions and sending new suggestions to the terminal. This makes it possible to provide the optimal tourist route in real time according to the user's emotional state and improve the individual experience.

[0369] "Tourist travel records" are data that records the places and routes visited by tourists in chronological order.

[0370] "Interest information" refers to data about specific places or activities that tourists are interested in.

[0371] "Means of recognizing emotional states" refers to technologies that infer emotions from a user's facial expressions, tone of voice, etc., and acquire them as data.

[0372] "Means for generating optimized routes" refers to technologies that utilize collected data to calculate the most suitable tourist route for visitors.

[0373] "A means of correcting routes in real time" refers to a technology that immediately recalculates and updates tourist routes in accordance with the current emotional state of tourists.

[0374] Augmented reality technology is a technology that overlays digital information onto real-world information to provide users with an enhanced visual experience.

[0375] "Means of providing additional information" refers to technologies that monitor tourists' locations and emotions and immediately provide information and suggestions tailored to their situation.

[0376] "Means of customizing information based on the user's emotions at a visited location" refers to technologies that appropriately change the content and method of information presented according to the user's emotional state.

[0377] To implement this invention, a mobile terminal for tourists and a cloud server are primarily used. The terminal is equipped with a camera and sensors, and an engine operates to recognize the emotional state of the tourist. Emotional state, travel records, and interest information are transmitted to the server in real time, and an optimized tourist route is generated. To provide augmented reality technology, the terminal is also equipped with an AR-compatible display.

[0378] The server processes the collected data and provides optimal guidance to tourists in real time. Specifically, it prioritizes information that aligns with the user's mood, such as quiet or lively places, based on their current emotions. The server also tracks the tourist's location and adjusts the route as needed.

[0379] The software used includes emotion recognition models and AR systems. For example, emotion recognition utilizes image processing and machine learning libraries such as OpenCV and TensorFlow, while AR rendering uses ARKit and ARCore.

[0380] As a concrete example, if a child appears tired during a family sightseeing trip, the server can quickly suggest nearby rest spots. In this case, an example of a prompt to the generating AI model would be: "When a family is sightseeing and it is detected that the child is emotionally tired, please suggest the next action."

[0381] As a result, users will be able to enjoy a more personalized travel experience.

[0382] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0383] Step 1:

[0384] The device uses a camera and sensors to capture the tourist's facial expressions and voice, and detect their emotional state. The input is real-time video and audio data, and the output is an emotional status (e.g., "happy," "tired," etc.) analyzed by an emotion recognition engine.

[0385] Step 2:

[0386] The device transmits the tourist's emotional state, movement records, and interest information to the server. Inputs include emotional state, location data, and interest-related data, while output is a message packet containing this data.

[0387] Step 3:

[0388] The server processes the received data and generates the optimal sightseeing route based on the user's current emotional state and interests. Data processing is performed using a generative AI model, and sightseeing guidance is provided using prompts. The output includes sightseeing route information and activity suggestions.

[0389] Step 4:

[0390] The server sends the generated sightseeing route to the device and uses AR functionality to visually guide the user. The input is route information generated on the server side, and the output is an AR guide map displayed on the device.

[0391] Step 5:

[0392] Once the user begins sightseeing, the device continuously sends location information and emotional state data to the server. The input is real-time location information and changing emotional data, and the output is periodic data updates to the server.

[0393] Step 6:

[0394] The server detects changes in the user's state and instantly adjusts the sightseeing route based on the new emotional state. The input is the changed emotional data, and the output is the revised sightseeing route.

[0395] Step 7:

[0396] The terminal receives the updated tourist route and provides new directions to the user. The input is the updated route information, and the output is the latest directions for the user.

[0397] 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.

[0398] 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.

[0399] 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.

[0400] [Third Embodiment]

[0401] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0402] 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.

[0403] 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).

[0404] 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.

[0405] 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.

[0406] 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).

[0407] 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.

[0408] 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.

[0409] 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.

[0410] 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.

[0411] 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.

[0412] 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".

[0413] This invention is a system that provides individually optimized tourist routes based on a tourist's past travel records and interest information. The main components of the system include a terminal for collecting tourist information, a server for receiving and processing that information, and augmented reality (AR) technology for providing the actual guidance.

[0414] Information gathering and profile generation

[0415] Users enter their interests in destinations and places they have visited in the past into the application. The device collects this data and sends it to the server. The server uses this information to build a user profile and stores it in a database. This profile registers travel preferences and categories of tourist destinations they would like to visit.

[0416] Tourist route generation

[0417] The server uses the user's profile and the latest tourist destination data to generate the most suitable sightseeing route for the user. The generated route is adjusted considering time efficiency and priority of interest, and then sent to the user's device. For example, a user who likes historical buildings will be offered a route connecting major temples and historical sites.

[0418] Local guidance and information provision

[0419] When the user arrives at their destination, the device uses GPS to confirm their location. The device then uses augmented reality (AR) technology to overlay information about the tourist spot onto the user's location. This provides a visual and intuitive way to learn about the history and descriptions of the tourist destination.

[0420] Furthermore, the server tracks the user's movements in real time and sends additional tourist information to the device, such as recommended spots and events in the vicinity. For example, if there is an unexpectedly interesting museum nearby, the system is designed to immediately notify the user of that information as well.

[0421] This system allows users to have a more fulfilling sightseeing experience and make the most of their time at tourist destinations. In this embodiment of the invention, flexible sightseeing guidance tailored to the individual needs of tourists is realized.

[0422] The following describes the processing flow.

[0423] Step 1:

[0424] Users input their interests and past travel history through an application on their device. The device collects this information and sends it to a server.

[0425] Step 2:

[0426] The server creates individual user profiles based on the received user information. These profiles include categories of tourist attractions of particular interest and places visited in the past.

[0427] Step 3:

[0428] The server retrieves the latest tourist destination information from external tourist destination databases and APIs and stores it in its database. The server then analyzes this information to evaluate the attributes and congestion levels of each tourist destination.

[0429] Step 4:

[0430] The server integrates user profiles and tourist destination information to generate an optimal sightseeing route. This route maximizes the user's interests while also considering time efficiency. This information is then transmitted to the terminal.

[0431] Step 5:

[0432] When the device uses GPS to confirm that the user has arrived at a tourist destination, it activates the AR function. The device then visually presents the user with local information (history, points of interest, etc.).

[0433] Step 6:

[0434] The server monitors the user's current location and surrounding conditions in real time, and sends additional tourist and event information to the device. This allows users to enjoy unexpected tourist spots.

[0435] Step 7:

[0436] The device will present users with the latest information it has acquired and suggest further sightseeing routes. This will personalize and enrich their sightseeing experience.

[0437] (Example 1)

[0438] 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."

[0439] For travelers visiting tourist destinations, creating an efficient and engaging itinerary tailored to their individual interests and preferences is not easy. Furthermore, providing local information and responding smoothly to unexpected points of interest presents significant challenges. Additionally, it's crucial to enhance the quality of the experience by setting appropriate visiting times, taking into account factors such as congestion at tourist spots and the order in which travelers are expected to visit them.

[0440] 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.

[0441] In this invention, the server includes a device for acquiring movement data and interest information, a device for designing personalized routes, and a device for creating user profiles using a generative AI model. This enables the provision of optimal tourist routes based on the individual interests of travelers, real-time information provision, and adjustment of plans according to congestion levels.

[0442] "Movement data" refers to information that shows a person's past and present location and movement history.

[0443] "Interest information" refers to information about travelers' interests and preferences, which influences their choices of destinations and activities.

[0444] The term "device" refers to hardware and software designed to perform a specific function.

[0445] A "route design device" is a device that has the function of generating an optimized travel route based on acquired travel data and interest information.

[0446] Augmented reality technology is a technology that provides users with real-time visual information by overlaying digital information onto information from the real world.

[0447] "Real-time confirmation" refers to understanding a phenomenon or situation that is currently unfolding at that very moment.

[0448] A "generative AI model" is an artificial intelligence model that uses machine learning techniques to generate specific patterns and characteristics based on data, and then performs inference and prediction.

[0449] A "profile creation device" is a device that collects attribute information such as the hobbies, preferences, and behavioral patterns of travelers and compiles it into a single dataset.

[0450] A "device that provides additional information" is a device that has the function of providing users with additional related information in addition to basic information.

[0451] One embodiment of this invention is a system that provides tourists with personalized and optimal sightseeing routes. This system mainly consists of terminals and a server.

[0452] The user uses an application on their device to input their interests and past visit history. The device receives this information and sends it to the server as a data packet. The device has GPS functionality, enabling location tracking and on-site guidance.

[0453] The server uses an AI model based on the received data to generate user profiles. These profiles include priority information for tourist destinations based on the user's interests. The generated profiles are stored in a database and used to design tourist routes.

[0454] The server also collects the latest information on each tourist destination and generates optimized sightseeing routes based on the user profile. This process takes into account time efficiency and the characteristics of each destination to create a sightseeing plan. The generated route information is sent to the terminal, and the user can then use it to plan their sightseeing.

[0455] When a user arrives at a tourist destination, the device acquires location information and displays local information using augmented reality technology. For example, if a user points the camera at a tourist destination, relevant information will be overlaid on the screen. This feature makes it easier to visually understand the history and characteristics of the tourist destination.

[0456] Furthermore, the server tracks the user's location and visits based on data collected in real time, and provides information on new spots and events in the surrounding area. This information is immediately notified to the user, allowing them to enjoy sightseeing without missing out on places or events that interest them.

[0457] As a concrete example, when a user inputs a prompt such as "Tell me a route to see Kyoto's historical buildings" into the AI ​​model, the system quickly suggests the optimal route and related information. This allows users to have a fulfilling sightseeing experience tailored to their interests.

[0458] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0459] Step 1:

[0460] Users input their interests and visit history through the application. This input includes keywords for specific tourist spots and preferred categories. The device collects this information and forms data packets to send to the server. These data packets reflect the user's interests and past behavior.

[0461] Step 2:

[0462] The server receives data packets sent from the terminal and generates a user profile using a generative AI model. During this profile creation process, the server extracts characteristic data based on past visit history and user interests. The profile includes data such as tourist destination categories and the user's areas of interest. This information is stored in a database for later processing.

[0463] Step 3:

[0464] The server generates the optimal sightseeing route using the generated user profile and the latest tourist destination information. In this process, the server uses algorithms to calculate the route, taking into account time efficiency and the priority of tourist destinations. Based on the input profile information, a route that prioritizes the tourist destinations desired by the user is formulated, and the result is sent to the terminal as route data.

[0465] Step 4:

[0466] When the user arrives at their destination, the device uses GPS to track their location in real time. Based on this location information, the device utilizes augmented reality technology to visually display the history and characteristics of the tourist spot. By using the current location information as input and outputting relevant tourist guide information, the user can obtain detailed information, including the historical background of the area.

[0467] Step 5:

[0468] The server tracks the user's current location in real time and retrieves information on new spots and events in the vicinity, notifying the user's device. This involves analyzing and outputting additional information that can be provided immediately, using the latest tourist destination database and the user's interests as input. This gives users the opportunity to visit unexpected new spots.

[0469] (Application Example 1)

[0470] 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."

[0471] In modern tourism, it is desirable to obtain customized information in real time based on individual interests and location. However, conventional systems often provide static and limited information, making it difficult to improve the quality of the tourism experience. Therefore, there is a need for a means to dynamically provide information according to the tourist's interests and location, and to realize immersive guidance even in urban environments.

[0472] 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.

[0473] In this invention, the server includes a device for collecting tourist movement records and interest information, a device for generating customized and optimized routes, a device for providing guide information at visited locations using augmented reality technology, a device for tracking tourist locations in real time and providing additional information, a device for visualizing additional tourist destination information and nearby activity information in real time, and a device for providing dynamic guidance to tourists within an urban environment. This allows tourists to receive information tailored to their individual interests on the spot, enabling a dynamic and intuitive sightseeing experience.

[0474] "Travel records" refer to historical information about all the places a tourist has visited in the past.

[0475] "Interest information" refers to information about themes and places that tourists are particularly interested in.

[0476] An "optimized route" is a route that takes into account the interests of tourists and the efficiency of their travel to the greatest extent possible.

[0477] Augmented reality technology is a technology that overlays digital information onto the real world for visual display.

[0478] "Guide information" refers to descriptive information about tourist destinations, such as their history and characteristics.

[0479] "Real-time tracking" means instantly determining the current location of tourists.

[0480] "Additional information" refers to information that is likely to be newly useful to tourists.

[0481] A "visualization device" is a device or technology used to present information visually.

[0482] "Dynamic guidance within an urban environment" refers to providing tourists on the move with information that adapts to their changing circumstances.

[0483] To realize this invention, multiple hardware and software components are required. First, the user installs a dedicated application on their smartphone or smart glasses. This application utilizes a GPS module and input interface to collect the user's movement records and interest information. The collected information is transmitted to a server in the cloud, where the data is stored and analyzed.

[0484] The server's role is to build tourist profiles based on this information and generate optimal travel routes. This process is performed using advanced data analysis software (e.g., Python, TensorFlow). The generated route information is sent to the user's device via a real-time database (e.g., Firebase).

[0485] The user's device displays tourist information using augmented reality technology (e.g., ARKit, ARCore) based on their arrival location. This allows the user to visually understand the history and characteristics of the place they are visiting. The server also monitors the user's location in real time and dynamically provides new tourist spots and event information that match their interests. This enables the user to have a richer sightseeing experience within an urban environment.

[0486] For example, a user visiting a historical city can receive real-time information about nearby museums and events through smart glasses. By utilizing generative AI models, it becomes possible to provide users with constantly fresh and relevant information tailored to their interests.

[0487] An example of a prompt might be, "How can I suggest a sightseeing route in a historical city and visualize real-time guide information?"

[0488] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0489] Step 1:

[0490] The user launches a dedicated application and enters their interests. The entered data includes preferences for tourist destinations and information about places they have visited in the past, and this data is collected by the terminal. The terminal then prepares to send this data to the server.

[0491] Step 2:

[0492] The server receives user interest information and movement records sent from the terminal. Based on this data, the server generates a user profile in the database. Data processing involves classifying user interests into categories and integrating them with past visit data. In other words, the input user data is structured into a profile.

[0493] Step 3:

[0494] The server uses the generated user profile to calculate the optimal sightseeing route. It uses the user's interest categories and the latest tourist destination data as input for data calculations. As output, it stores the user-appropriate sightseeing route information in a real-time database, preparing it for later transmission.

[0495] Step 4:

[0496] When a user arrives at a tourist destination, the device uses GPS to confirm their location. The input is the current location information, and the output is tourist destination-specific guide information based on the current location. The device visualizes this information using augmented reality technology and provides it to the user.

[0497] Step 5:

[0498] The server considers the user's current location and profile to send real-time recommendations for nearby tourist spots and events. Input consists of location data and profile information, which are then used for data analysis to generate highly relevant new tourist information. This allows the device to provide additional guidance to the user.

[0499] 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.

[0500] This invention is a personalized tourist guidance system that combines tourist movement records and interest information with an emotion engine that recognizes user emotions. This system generates optimal tourist routes based on the tourist's emotions and interests, improving the user experience in real time.

[0501] Information gathering and emotion recognition

[0502] Users use a device to record their emotions at tourist destinations. The device is equipped with an emotion engine that uses a camera and sensors to detect the user's emotional state. This allows the system to determine whether the user is excited, relaxed, or stressed. The collected emotion data, along with other interest information and travel history, is sent to a server.

[0503] Tourist route generation and adjustment

[0504] The server generates the optimal sightseeing route based on the user profile and emotional data. For example, if the user is seeking relaxation, the route can include quiet museums and parks. Furthermore, if the user's emotions change, the server automatically modifies the route and sends new suggestions to the device.

[0505] Guided by augmented reality technology

[0506] When a user arrives at a tourist destination, the device utilizes augmented reality (AR) capabilities to provide guide information tailored to the location. Based on emotional data, the way information is presented and its content are also customized. For example, if a user shows intellectual curiosity, detailed historical information and background explanations will be prioritized.

[0507] Real-time information provision and emotional response

[0508] The server monitors the user's location and emotional changes in real time, suggesting additional sightseeing information and special recommendations at the appropriate time. For example, if the user indicates fatigue, it will display information about nearby cafes and rest areas. In this way, an optimal sightseeing experience tailored to the user's current emotional state can be achieved.

[0509] For example, by highlighting the next activity to users who seem excited and suggesting interesting spots to users who seem bored, it is possible to always provide a sightseeing plan that fits the user's emotions. This invention makes it possible to further improve the tourist experience and increase satisfaction.

[0510] The following describes the processing flow.

[0511] Step 1:

[0512] The user launches the application on their device and enters their purpose for visiting the destination and their past travel history. The device collects this data and sends it to the server.

[0513] Step 2:

[0514] The emotion engine built into the device uses sensors and cameras to analyze the user's facial expressions and voice tone, determining their current emotional state. The resulting emotional data is then sent to a server.

[0515] Step 3:

[0516] The server builds a user profile based on the received user interest information and emotional state data. This prepares the server for generating individually optimized sightseeing routes.

[0517] Step 4:

[0518] The server considers emotional data acquired in real time to generate a sightseeing route tailored to the user. This route takes into account not only physical efficiency but also emotional satisfaction. The generated route information is sent to the terminal.

[0519] Step 5:

[0520] When a user arrives at a tourist destination, the device uses GPS to pinpoint its location and activates AR functionality. It then considers emotional data and provides guidance information that matches the user's emotions (e.g., relaxing scenes, exciting attractions).

[0521] Step 6:

[0522] The server monitors the user's location and emotional changes in real time and suggests additional sightseeing spots and resting places accordingly. For example, if the user is feeling stressed, it might recommend a nearby park or cafe.

[0523] Step 7:

[0524] The device personalizes and optimizes the sightseeing experience by presenting users with new route suggestions and emotionally-driven activities based on information received from the server. Users can receive new suggestions through the device and enjoy an even more comfortable sightseeing experience.

[0525] (Example 2)

[0526] 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."

[0527] Traditional tourist information systems have struggled to adapt to changes in tourists' emotions and interests by adjusting tour routes accordingly, resulting in a failure to adequately enhance individual tourist satisfaction. Furthermore, the lack of real-time information provision limits their ability to provide tourists with the optimal experience.

[0528] 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.

[0529] In this invention, the server includes means for recognizing the emotional state of tourists using sensors and collecting emotional data, means for generating an optimized route for tourists based on the collected emotional data and interest information, and means for providing the generated tourist route to an information processing device used by the tourist. This makes it possible to provide an optimal tourist route that responds immediately to changes in the tourist's emotions and to realize a highly satisfying tourist experience tailored to individual tourists through real-time information adjustments.

[0530] "Emotional state" refers to the psychological state of tourists, such as excitement, relaxation, and stress, and this is used to adjust the tourist information provided.

[0531] A "sensor" is a device used to recognize the emotional state of tourists, and it collects data using cameras and biometric technology.

[0532] "Emotional data" refers to information that quantifies or categorizes the emotional state of tourists, and is used to generate and adjust tourist routes.

[0533] "Interest information" refers to information about tourist destinations and activities that tourists are interested in, and is used to generate personalized tourist routes.

[0534] An "optimized route" is a suggested itinerary and route that is best suited to a tourist, calculated based on their emotional state, interests, current location, and other factors.

[0535] An "information processing device" refers to a portable electronic device carried by tourists and used to receive and display emotional data and optimized routes.

[0536] Augmented reality technology is a technique that overlays virtual information onto the real world environment and is used to provide tourists with guide information about their destinations.

[0537] "Location tracking" is a technology that allows us to understand the current location of tourists in real time and is used to coordinate tourist information.

[0538] To implement this invention, a terminal carried by tourists and a server are required. The terminal is equipped with high-performance sensors and cameras, enabling it to recognize the tourist's emotional state in real time. Specifically, an emotion engine processes facial expression data and biometric data obtained through this hardware to generate emotion data.

[0539] The server has the function of generating tourist-optimized sightseeing routes based on sentiment data transmitted from the terminal and the user profile, using a generative AI model. The generated route and related information are sent to the terminal and displayed to the tourist intuitively. Specifically, the software used is a generative AI model, which makes optimal suggestions based on various input data from the tourist. An example of a prompt message that is input to the generative AI model is "Tell me which tourist spot I should visit next."

[0540] The device also features augmented reality (AR) capabilities, which provide guide information for visitors at the locations they visit. For example, when standing in front of a historical building, the historical background and notable features of the place are visualized via AR. Through this guide, users can instantly obtain useful information tailored to their interests and feelings.

[0541] In addition, the server tracks the tourist's location and emotional changes, updating suggestions as needed. For example, if a tourist is tired and needs a break, the server instructs the device to display information about nearby cafes and restaurants. In this way, it is possible to provide tourists with an optimized and personalized experience.

[0542] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0543] Step 1:

[0544] The user carries a device and visits a tourist destination. The device uses its built-in camera and sensors to capture the user's facial expressions and biodata. The input is the user's facial expression data, and an emotion engine analyzes this data to determine the user's emotional state (e.g., excitement, relaxation, stress). Emotional data is generated as output.

[0545] Step 2:

[0546] The device sends collected emotional data and interest information to the server. The server, upon receiving this input data, analyzes it in conjunction with the tourist's profile. A generative AI model uses this data to generate an optimal sightseeing route suited to the tourist's emotional state and profile. As output, the generated sightseeing route is sent back to the device.

[0547] Step 3:

[0548] The user receives a suggested sightseeing route on their device and activates the device's augmented reality (AR) function upon arrival at the destination. The AR function displays guide information about the relevant tourist spot based on the device's location information and information received from the server. Location information is the input, and relevant guide information is generated using the AR function. As output, the user is presented with visually displayed guide information.

[0549] Step 4:

[0550] The server tracks the user's location and emotional changes in real time. If the user becomes tired, for example, the server uses a generative AI model to generate prompts suggesting the next action. For example, it might input the prompt "Tell me about nearby cafes" into the generative AI model and send the acquired information to the user's device. As output, information about suitable places to rest is sent to the user's device.

[0551] Step 5:

[0552] Based on the information received from the device, the user selects their next destination or rest stop and continues sightseeing. The device then collects new emotional and interest data, and the process repeats. This cycle ensures that the user always receives the latest information and a personalized sightseeing experience based on their emotions. New emotional and interest data serves as input, and the entire system utilizes this data to optimize the sightseeing experience.

[0553] (Application Example 2)

[0554] 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."

[0555] Conventional tourist information systems were limited to providing information based on tourists' interests, making it difficult to offer personalized experiences tailored to the user's emotions. Furthermore, adjusting tourist routes in real-time to changing circumstances was challenging, posing a challenge in improving tourist satisfaction.

[0556] 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.

[0557] In this invention, the server includes means for collecting tourist movement records and interest information, means for recognizing the user's emotional state, and means for generating an optimized route for the tourist based on the collected information and emotions, and for modifying the route in real time according to changes in emotions and sending new suggestions to the terminal. This makes it possible to provide the optimal tourist route in real time according to the user's emotional state and improve the individual experience.

[0558] "Tourist travel records" are data that records the places and routes visited by tourists in chronological order.

[0559] "Interest information" refers to data about specific places or activities that tourists are interested in.

[0560] "Means of recognizing emotional states" refers to technologies that infer emotions from a user's facial expressions, tone of voice, etc., and acquire them as data.

[0561] "Means for generating optimized routes" refers to technologies that utilize collected data to calculate the most suitable tourist route for visitors.

[0562] "A means of correcting routes in real time" refers to a technology that immediately recalculates and updates tourist routes in accordance with the current emotional state of tourists.

[0563] Augmented reality technology is a technology that overlays digital information onto real-world information to provide users with an enhanced visual experience.

[0564] "Means of providing additional information" refers to technologies that monitor tourists' locations and emotions and immediately provide information and suggestions tailored to their situation.

[0565] "Means of customizing information based on the user's emotions at a visited location" refers to technologies that appropriately change the content and method of information presented according to the user's emotional state.

[0566] To implement this invention, a mobile terminal for tourists and a cloud server are primarily used. The terminal is equipped with a camera and sensors, and an engine operates to recognize the emotional state of the tourist. Emotional state, travel records, and interest information are transmitted to the server in real time, and an optimized tourist route is generated. To provide augmented reality technology, the terminal is also equipped with an AR-compatible display.

[0567] The server processes the collected data and provides optimal guidance to tourists in real time. Specifically, it prioritizes information that aligns with the user's mood, such as quiet or lively places, based on their current emotions. The server also tracks the tourist's location and adjusts the route as needed.

[0568] The software used includes emotion recognition models and AR systems. For example, emotion recognition utilizes image processing and machine learning libraries such as OpenCV and TensorFlow, while AR rendering uses ARKit and ARCore.

[0569] As a concrete example, if a child appears tired during a family sightseeing trip, the server can quickly suggest nearby rest spots. In this case, an example of a prompt to the generating AI model would be: "When a family is sightseeing and it is detected that the child is emotionally tired, please suggest the next action."

[0570] As a result, users will be able to enjoy a more personalized travel experience.

[0571] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0572] Step 1:

[0573] The device uses a camera and sensors to capture the tourist's facial expressions and voice, and detect their emotional state. The input is real-time video and audio data, and the output is an emotional status (e.g., "happy," "tired," etc.) analyzed by an emotion recognition engine.

[0574] Step 2:

[0575] The device transmits the tourist's emotional state, movement records, and interest information to the server. Inputs include emotional state, location data, and interest-related data, while output is a message packet containing this data.

[0576] Step 3:

[0577] The server processes the received data and generates the optimal sightseeing route based on the user's current emotional state and interests. Data processing is performed using a generative AI model, and sightseeing guidance is provided using prompts. The output includes sightseeing route information and activity suggestions.

[0578] Step 4:

[0579] The server sends the generated sightseeing route to the device and uses AR functionality to visually guide the user. The input is route information generated on the server side, and the output is an AR guide map displayed on the device.

[0580] Step 5:

[0581] Once the user begins sightseeing, the device continuously sends location information and emotional state data to the server. The input is real-time location information and changing emotional data, and the output is periodic data updates to the server.

[0582] Step 6:

[0583] The server detects changes in the user's state and instantly adjusts the sightseeing route based on the new emotional state. The input is the changed emotional data, and the output is the revised sightseeing route.

[0584] Step 7:

[0585] The terminal receives the updated tourist route and provides new directions to the user. The input is the updated route information, and the output is the latest directions for the user.

[0586] 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.

[0587] 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.

[0588] 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.

[0589] [Fourth Embodiment]

[0590] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0591] 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.

[0592] 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).

[0593] 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.

[0594] 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.

[0595] 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).

[0596] 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.

[0597] 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.

[0598] 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.

[0599] 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.

[0600] 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.

[0601] 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.

[0602] 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".

[0603] This invention is a system that provides individually optimized tourist routes based on a tourist's past travel records and interest information. The main components of the system include a terminal for collecting tourist information, a server for receiving and processing that information, and augmented reality (AR) technology for providing the actual guidance.

[0604] Information gathering and profile generation

[0605] Users enter their interests in destinations and places they have visited in the past into the application. The device collects this data and sends it to the server. The server uses this information to build a user profile and stores it in a database. This profile registers travel preferences and categories of tourist destinations they would like to visit.

[0606] Tourist route generation

[0607] The server uses the user's profile and the latest tourist destination data to generate the most suitable sightseeing route for the user. The generated route is adjusted considering time efficiency and priority of interest, and then sent to the user's device. For example, a user who likes historical buildings will be offered a route connecting major temples and historical sites.

[0608] Local guidance and information provision

[0609] When the user arrives at their destination, the device uses GPS to confirm their location. The device then uses augmented reality (AR) technology to overlay information about the tourist spot onto the user's location. This provides a visual and intuitive way to learn about the history and descriptions of the tourist destination.

[0610] Furthermore, the server tracks the user's movements in real time and sends additional tourist information to the device, such as recommended spots and events in the vicinity. For example, if there is an unexpectedly interesting museum nearby, the system is designed to immediately notify the user of that information as well.

[0611] This system allows users to have a more fulfilling sightseeing experience and make the most of their time at tourist destinations. In this embodiment of the invention, flexible sightseeing guidance tailored to the individual needs of tourists is realized.

[0612] The following describes the processing flow.

[0613] Step 1:

[0614] Users input their interests and past travel history through an application on their device. The device collects this information and sends it to a server.

[0615] Step 2:

[0616] The server creates individual user profiles based on the received user information. These profiles include categories of tourist attractions of particular interest and places visited in the past.

[0617] Step 3:

[0618] The server retrieves the latest tourist destination information from external tourist destination databases and APIs and stores it in its database. The server then analyzes this information to evaluate the attributes and congestion levels of each tourist destination.

[0619] Step 4:

[0620] The server integrates user profiles and tourist destination information to generate an optimal sightseeing route. This route maximizes the user's interests while also considering time efficiency. This information is then transmitted to the terminal.

[0621] Step 5:

[0622] When the device uses GPS to confirm that the user has arrived at a tourist destination, it activates the AR function. The device then visually presents the user with local information (history, points of interest, etc.).

[0623] Step 6:

[0624] The server monitors the user's current location and surrounding conditions in real time, and sends additional tourist and event information to the device. This allows users to enjoy unexpected tourist spots.

[0625] Step 7:

[0626] The device will present users with the latest information it has acquired and suggest further sightseeing routes. This will personalize and enrich their sightseeing experience.

[0627] (Example 1)

[0628] 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".

[0629] For travelers visiting tourist destinations, creating an efficient and engaging itinerary tailored to their individual interests and preferences is not easy. Furthermore, providing local information and responding smoothly to unexpected points of interest presents significant challenges. Additionally, it's crucial to enhance the quality of the experience by setting appropriate visiting times, taking into account factors such as congestion at tourist spots and the order in which travelers are expected to visit them.

[0630] 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.

[0631] In this invention, the server includes a device for acquiring movement data and interest information, a device for designing personalized routes, and a device for creating user profiles using a generative AI model. This enables the provision of optimal tourist routes based on the individual interests of travelers, real-time information provision, and adjustment of plans according to congestion levels.

[0632] "Movement data" refers to information that shows a person's past and present location and movement history.

[0633] "Interest information" refers to information about travelers' interests and preferences, which influences their choices of destinations and activities.

[0634] The term "device" refers to hardware and software designed to perform a specific function.

[0635] A "route design device" is a device that has the function of generating an optimized travel route based on acquired travel data and interest information.

[0636] Augmented reality technology is a technology that provides users with real-time visual information by overlaying digital information onto information from the real world.

[0637] "Real-time confirmation" refers to understanding a phenomenon or situation that is currently unfolding at that very moment.

[0638] A "generative AI model" is an artificial intelligence model that uses machine learning techniques to generate specific patterns and characteristics based on data, and then performs inference and prediction.

[0639] A "profile creation device" is a device that collects attribute information such as the hobbies, preferences, and behavioral patterns of travelers and compiles it into a single dataset.

[0640] A "device that provides additional information" is a device that has the function of providing users with additional related information in addition to basic information.

[0641] One embodiment of this invention is a system that provides tourists with personalized and optimal sightseeing routes. This system mainly consists of terminals and a server.

[0642] The user uses an application on their device to input their interests and past visit history. The device receives this information and sends it to the server as a data packet. The device has GPS functionality, enabling location tracking and on-site guidance.

[0643] The server uses an AI model based on the received data to generate user profiles. These profiles include priority information for tourist destinations based on the user's interests. The generated profiles are stored in a database and used to design tourist routes.

[0644] The server also collects the latest information on each tourist destination and generates optimized sightseeing routes based on the user profile. This process takes into account time efficiency and the characteristics of each destination to create a sightseeing plan. The generated route information is sent to the terminal, and the user can then use it to plan their sightseeing.

[0645] When a user arrives at a tourist destination, the device acquires location information and displays local information using augmented reality technology. For example, if a user points the camera at a tourist destination, relevant information will be overlaid on the screen. This feature makes it easier to visually understand the history and characteristics of the tourist destination.

[0646] Furthermore, the server tracks the user's location and visits based on data collected in real time, and provides information on new spots and events in the surrounding area. This information is immediately notified to the user, allowing them to enjoy sightseeing without missing out on places or events that interest them.

[0647] As a concrete example, when a user inputs a prompt such as "Tell me a route to see Kyoto's historical buildings" into the AI ​​model, the system quickly suggests the optimal route and related information. This allows users to have a fulfilling sightseeing experience tailored to their interests.

[0648] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0649] Step 1:

[0650] Users input their interests and visit history through the application. This input includes keywords for specific tourist spots and preferred categories. The device collects this information and forms data packets to send to the server. These data packets reflect the user's interests and past behavior.

[0651] Step 2:

[0652] The server receives data packets sent from the terminal and generates a user profile using a generative AI model. During this profile creation process, the server extracts characteristic data based on past visit history and user interests. The profile includes data such as tourist destination categories and the user's areas of interest. This information is stored in a database for later processing.

[0653] Step 3:

[0654] The server generates the optimal sightseeing route using the generated user profile and the latest tourist destination information. In this process, the server uses algorithms to calculate the route, taking into account time efficiency and the priority of tourist destinations. Based on the input profile information, a route that prioritizes the tourist destinations desired by the user is formulated, and the result is sent to the terminal as route data.

[0655] Step 4:

[0656] When the user arrives at their destination, the device uses GPS to track their location in real time. Based on this location information, the device utilizes augmented reality technology to visually display the history and characteristics of the tourist spot. By using the current location information as input and outputting relevant tourist guide information, the user can obtain detailed information, including the historical background of the area.

[0657] Step 5:

[0658] The server tracks the user's current location in real time and retrieves information on new spots and events in the vicinity, notifying the user's device. This involves analyzing and outputting additional information that can be provided immediately, using the latest tourist destination database and the user's interests as input. This gives users the opportunity to visit unexpected new spots.

[0659] (Application Example 1)

[0660] 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".

[0661] In modern tourism, it is desirable to obtain customized information in real time based on individual interests and location. However, conventional systems often provide static and limited information, making it difficult to improve the quality of the tourism experience. Therefore, there is a need for a means to dynamically provide information according to the tourist's interests and location, and to realize immersive guidance even in urban environments.

[0662] 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.

[0663] In this invention, the server includes a device for collecting tourist movement records and interest information, a device for generating customized and optimized routes, a device for providing guide information at visited locations using augmented reality technology, a device for tracking tourist locations in real time and providing additional information, a device for visualizing additional tourist destination information and nearby activity information in real time, and a device for providing dynamic guidance to tourists within an urban environment. This allows tourists to receive information tailored to their individual interests on the spot, enabling a dynamic and intuitive sightseeing experience.

[0664] "Travel records" refer to historical information about all the places a tourist has visited in the past.

[0665] "Interest information" refers to information about themes and places that tourists are particularly interested in.

[0666] An "optimized route" is a route that takes into account the interests of tourists and the efficiency of their travel to the greatest extent possible.

[0667] Augmented reality technology is a technology that overlays digital information onto the real world for visual display.

[0668] "Guide information" refers to descriptive information about tourist destinations, such as their history and characteristics.

[0669] "Real-time tracking" means instantly determining the current location of tourists.

[0670] "Additional information" refers to information that is likely to be newly useful to tourists.

[0671] A "visualization device" is a device or technology used to present information visually.

[0672] "Dynamic guidance within an urban environment" refers to providing tourists on the move with information that adapts to their changing circumstances.

[0673] To realize this invention, multiple hardware and software components are required. First, the user installs a dedicated application on their smartphone or smart glasses. This application utilizes a GPS module and input interface to collect the user's movement records and interest information. The collected information is transmitted to a server in the cloud, where the data is stored and analyzed.

[0674] The server's role is to build tourist profiles based on this information and generate optimal travel routes. This process is performed using advanced data analysis software (e.g., Python, TensorFlow). The generated route information is sent to the user's device via a real-time database (e.g., Firebase).

[0675] The user's device displays tourist information using augmented reality technology (e.g., ARKit, ARCore) based on their arrival location. This allows the user to visually understand the history and characteristics of the place they are visiting. The server also monitors the user's location in real time and dynamically provides new tourist spots and event information that match their interests. This enables the user to have a richer sightseeing experience within an urban environment.

[0676] For example, a user visiting a historical city can receive real-time information about nearby museums and events through smart glasses. By utilizing generative AI models, it becomes possible to provide users with constantly fresh and relevant information tailored to their interests.

[0677] An example of a prompt might be, "How can I suggest a sightseeing route in a historical city and visualize real-time guide information?"

[0678] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0679] Step 1:

[0680] The user launches a dedicated application and enters their interests. The entered data includes preferences for tourist destinations and information about places they have visited in the past, and this data is collected by the terminal. The terminal then prepares to send this data to the server.

[0681] Step 2:

[0682] The server receives user interest information and movement records sent from the terminal. Based on this data, the server generates a user profile in the database. Data processing involves classifying user interests into categories and integrating them with past visit data. In other words, the input user data is structured into a profile.

[0683] Step 3:

[0684] The server uses the generated user profile to calculate the optimal sightseeing route. It uses the user's interest categories and the latest tourist destination data as input for data calculations. As output, it stores the user-appropriate sightseeing route information in a real-time database, preparing it for later transmission.

[0685] Step 4:

[0686] When a user arrives at a tourist destination, the device uses GPS to confirm their location. The input is the current location information, and the output is tourist destination-specific guide information based on the current location. The device visualizes this information using augmented reality technology and provides it to the user.

[0687] Step 5:

[0688] The server considers the user's current location and profile to send real-time recommendations for nearby tourist spots and events. Input consists of location data and profile information, which are then used for data analysis to generate highly relevant new tourist information. This allows the device to provide additional guidance to the user.

[0689] 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.

[0690] This invention is a personalized tourist guidance system that combines tourist movement records and interest information with an emotion engine that recognizes user emotions. This system generates optimal tourist routes based on the tourist's emotions and interests, improving the user experience in real time.

[0691] Information gathering and emotion recognition

[0692] Users use a device to record their emotions at tourist destinations. The device is equipped with an emotion engine that uses a camera and sensors to detect the user's emotional state. This allows the system to determine whether the user is excited, relaxed, or stressed. The collected emotion data, along with other interest information and travel history, is sent to a server.

[0693] Tourist route generation and adjustment

[0694] The server generates the optimal sightseeing route based on the user profile and emotional data. For example, if the user is seeking relaxation, the route can include quiet museums and parks. Furthermore, if the user's emotions change, the server automatically modifies the route and sends new suggestions to the device.

[0695] Guided by augmented reality technology

[0696] When a user arrives at a tourist destination, the device utilizes augmented reality (AR) capabilities to provide guide information tailored to the location. Based on emotional data, the way information is presented and its content are also customized. For example, if a user shows intellectual curiosity, detailed historical information and background explanations will be prioritized.

[0697] Real-time information provision and emotional response

[0698] The server monitors the user's location and emotional changes in real time, suggesting additional sightseeing information and special recommendations at the appropriate time. For example, if the user indicates fatigue, it will display information about nearby cafes and rest areas. In this way, an optimal sightseeing experience tailored to the user's current emotional state can be achieved.

[0699] For example, by highlighting the next activity to users who seem excited and suggesting interesting spots to users who seem bored, it is possible to always provide a sightseeing plan that fits the user's emotions. This invention makes it possible to further improve the tourist experience and increase satisfaction.

[0700] The following describes the processing flow.

[0701] Step 1:

[0702] The user launches the application on their device and enters their purpose for visiting the destination and their past travel history. The device collects this data and sends it to the server.

[0703] Step 2:

[0704] The emotion engine built into the device uses sensors and cameras to analyze the user's facial expressions and voice tone, determining their current emotional state. The resulting emotional data is then sent to a server.

[0705] Step 3:

[0706] The server builds a user profile based on the received user interest information and emotional state data. This prepares the server for generating individually optimized sightseeing routes.

[0707] Step 4:

[0708] The server considers emotional data acquired in real time to generate a sightseeing route tailored to the user. This route takes into account not only physical efficiency but also emotional satisfaction. The generated route information is sent to the terminal.

[0709] Step 5:

[0710] When a user arrives at a tourist destination, the device uses GPS to pinpoint its location and activates AR functionality. It then considers emotional data and provides guidance information that matches the user's emotions (e.g., relaxing scenes, exciting attractions).

[0711] Step 6:

[0712] The server monitors the user's location and emotional changes in real time and suggests additional sightseeing spots and resting places accordingly. For example, if the user is feeling stressed, it might recommend a nearby park or cafe.

[0713] Step 7:

[0714] The device personalizes and optimizes the sightseeing experience by presenting users with new route suggestions and emotionally-driven activities based on information received from the server. Users can receive new suggestions through the device and enjoy an even more comfortable sightseeing experience.

[0715] (Example 2)

[0716] 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".

[0717] Traditional tourist information systems have struggled to adapt to changes in tourists' emotions and interests by adjusting tour routes accordingly, resulting in a failure to adequately enhance individual tourist satisfaction. Furthermore, the lack of real-time information provision limits their ability to provide tourists with the optimal experience.

[0718] 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.

[0719] In this invention, the server includes means for recognizing the emotional state of tourists using sensors and collecting emotional data, means for generating an optimized route for tourists based on the collected emotional data and interest information, and means for providing the generated tourist route to an information processing device used by the tourist. This makes it possible to provide an optimal tourist route that responds immediately to changes in the tourist's emotions and to realize a highly satisfying tourist experience tailored to individual tourists through real-time information adjustments.

[0720] "Emotional state" refers to the psychological state of tourists, such as excitement, relaxation, and stress, and this is used to adjust the tourist information provided.

[0721] A "sensor" is a device used to recognize the emotional state of tourists, and it collects data using cameras and biometric technology.

[0722] "Emotional data" refers to information that quantifies or categorizes the emotional state of tourists, and is used to generate and adjust tourist routes.

[0723] "Interest information" refers to information about tourist destinations and activities that tourists are interested in, and is used to generate personalized tourist routes.

[0724] An "optimized route" is a suggested itinerary and route that is best suited to a tourist, calculated based on their emotional state, interests, current location, and other factors.

[0725] An "information processing device" refers to a portable electronic device carried by tourists and used to receive and display emotional data and optimized routes.

[0726] Augmented reality technology is a technique that overlays virtual information onto the real world environment and is used to provide tourists with guide information about their destinations.

[0727] "Location tracking" is a technology that allows us to understand the current location of tourists in real time and is used to coordinate tourist information.

[0728] To implement this invention, a terminal carried by tourists and a server are required. The terminal is equipped with high-performance sensors and cameras, enabling it to recognize the tourist's emotional state in real time. Specifically, an emotion engine processes facial expression data and biometric data obtained through this hardware to generate emotion data.

[0729] The server has the function of generating tourist-optimized sightseeing routes based on sentiment data transmitted from the terminal and the user profile, using a generative AI model. The generated route and related information are sent to the terminal and displayed to the tourist intuitively. Specifically, the software used is a generative AI model, which makes optimal suggestions based on various input data from the tourist. An example of a prompt message that is input to the generative AI model is "Tell me which tourist spot I should visit next."

[0730] The device also features augmented reality (AR) capabilities, which provide guide information for visitors at the locations they visit. For example, when standing in front of a historical building, the historical background and notable features of the place are visualized via AR. Through this guide, users can instantly obtain useful information tailored to their interests and feelings.

[0731] In addition, the server tracks the tourist's location and emotional changes, updating suggestions as needed. For example, if a tourist is tired and needs a break, the server instructs the device to display information about nearby cafes and restaurants. In this way, it is possible to provide tourists with an optimized and personalized experience.

[0732] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0733] Step 1:

[0734] The user carries a device and visits a tourist destination. The device uses its built-in camera and sensors to capture the user's facial expressions and biodata. The input is the user's facial expression data, and an emotion engine analyzes this data to determine the user's emotional state (e.g., excitement, relaxation, stress). Emotional data is generated as output.

[0735] Step 2:

[0736] The device sends collected emotional data and interest information to the server. The server, upon receiving this input data, analyzes it in conjunction with the tourist's profile. A generative AI model uses this data to generate an optimal sightseeing route suited to the tourist's emotional state and profile. As output, the generated sightseeing route is sent back to the device.

[0737] Step 3:

[0738] The user receives a suggested sightseeing route on their device and activates the device's augmented reality (AR) function upon arrival at the destination. The AR function displays guide information about the relevant tourist spot based on the device's location information and information received from the server. Location information is the input, and relevant guide information is generated using the AR function. As output, the user is presented with visually displayed guide information.

[0739] Step 4:

[0740] The server tracks the user's location and emotional changes in real time. If the user becomes tired, for example, the server uses a generative AI model to generate prompts suggesting the next action. For example, it might input the prompt "Tell me about nearby cafes" into the generative AI model and send the acquired information to the user's device. As output, information about suitable places to rest is sent to the user's device.

[0741] Step 5:

[0742] Based on the information received from the device, the user selects their next destination or rest stop and continues sightseeing. The device then collects new emotional and interest data, and the process repeats. This cycle ensures that the user always receives the latest information and a personalized sightseeing experience based on their emotions. New emotional and interest data serves as input, and the entire system utilizes this data to optimize the sightseeing experience.

[0743] (Application Example 2)

[0744] 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".

[0745] Conventional tourist information systems were limited to providing information based on tourists' interests, making it difficult to offer personalized experiences tailored to the user's emotions. Furthermore, adjusting tourist routes in real-time to changing circumstances was challenging, posing a challenge in improving tourist satisfaction.

[0746] 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.

[0747] In this invention, the server includes means for collecting tourist movement records and interest information, means for recognizing the user's emotional state, and means for generating an optimized route for the tourist based on the collected information and emotions, and for modifying the route in real time according to changes in emotions and sending new suggestions to the terminal. This makes it possible to provide the optimal tourist route in real time according to the user's emotional state and improve the individual experience.

[0748] "Tourist travel records" are data that records the places and routes visited by tourists in chronological order.

[0749] "Interest information" refers to data about specific places or activities that tourists are interested in.

[0750] "Means of recognizing emotional states" refers to technologies that infer emotions from a user's facial expressions, tone of voice, etc., and acquire them as data.

[0751] "Means for generating optimized routes" refers to technologies that utilize collected data to calculate the most suitable tourist route for visitors.

[0752] "A means of correcting routes in real time" refers to a technology that immediately recalculates and updates tourist routes in accordance with the current emotional state of tourists.

[0753] Augmented reality technology is a technology that overlays digital information onto real-world information to provide users with an enhanced visual experience.

[0754] "Means of providing additional information" refers to technologies that monitor tourists' locations and emotions and immediately provide information and suggestions tailored to their situation.

[0755] "Means of customizing information based on the user's emotions at a visited location" refers to technologies that appropriately change the content and method of information presented according to the user's emotional state.

[0756] To implement this invention, a mobile terminal for tourists and a cloud server are primarily used. The terminal is equipped with a camera and sensors, and an engine operates to recognize the emotional state of the tourist. Emotional state, travel records, and interest information are transmitted to the server in real time, and an optimized tourist route is generated. To provide augmented reality technology, the terminal is also equipped with an AR-compatible display.

[0757] The server processes the collected data and provides optimal guidance to tourists in real time. Specifically, it prioritizes information that aligns with the user's mood, such as quiet or lively places, based on their current emotions. The server also tracks the tourist's location and adjusts the route as needed.

[0758] The software used includes emotion recognition models and AR systems. For example, emotion recognition utilizes image processing and machine learning libraries such as OpenCV and TensorFlow, while AR rendering uses ARKit and ARCore.

[0759] As a concrete example, if a child appears tired during a family sightseeing trip, the server can quickly suggest nearby rest spots. In this case, an example of a prompt to the generating AI model would be: "When a family is sightseeing and it is detected that the child is emotionally tired, please suggest the next action."

[0760] As a result, users will be able to enjoy a more personalized travel experience.

[0761] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0762] Step 1:

[0763] The device uses a camera and sensors to capture the tourist's facial expressions and voice, and detect their emotional state. The input is real-time video and audio data, and the output is an emotional status (e.g., "happy," "tired," etc.) analyzed by an emotion recognition engine.

[0764] Step 2:

[0765] The device transmits the tourist's emotional state, movement records, and interest information to the server. Inputs include emotional state, location data, and interest-related data, while output is a message packet containing this data.

[0766] Step 3:

[0767] The server processes the received data and generates the optimal sightseeing route based on the user's current emotional state and interests. Data processing is performed using a generative AI model, and sightseeing guidance is provided using prompts. The output includes sightseeing route information and activity suggestions.

[0768] Step 4:

[0769] The server sends the generated sightseeing route to the device and uses AR functionality to visually guide the user. The input is route information generated on the server side, and the output is an AR guide map displayed on the device.

[0770] Step 5:

[0771] Once the user begins sightseeing, the device continuously sends location information and emotional state data to the server. The input is real-time location information and changing emotional data, and the output is periodic data updates to the server.

[0772] Step 6:

[0773] The server detects changes in the user's state and instantly adjusts the sightseeing route based on the new emotional state. The input is the changed emotional data, and the output is the revised sightseeing route.

[0774] Step 7:

[0775] The terminal receives the updated tourist route and provides new directions to the user. The input is the updated route information, and the output is the latest directions for the user.

[0776] 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.

[0777] 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.

[0778] 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.

[0779] 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.

[0780] 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.

[0781] 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.

[0782] 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.

[0783] 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.

[0784] 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."

[0785] 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.

[0786] 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.

[0787] 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.

[0788] 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.

[0789] 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.

[0790] 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.

[0791] 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.

[0792] 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.

[0793] 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.

[0794] 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.

[0795] 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.

[0796] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0797] The following is further disclosed regarding the embodiments described above.

[0798] (Claim 1)

[0799] A means of collecting tourist movement records and interest information,

[0800] A means for generating an optimized route for tourists based on the information collected,

[0801] A means of providing guide information at a visited location using augmented reality technology,

[0802] A means of tracking the location of tourists in real time and providing additional information,

[0803] A system that includes this.

[0804] (Claim 2)

[0805] The system according to claim 1, further comprising means for connecting to the location tracking means in order to automatically suggest spots related to the interests of tourists.

[0806] (Claim 3)

[0807] The system according to claim 1, further comprising means for adjusting the route generation means in order to optimize the order of visits and visit times according to the congestion status of tourists.

[0808] "Example 1"

[0809] (Claim 1)

[0810] A device that acquires movement data and interest information,

[0811] A device for designing personalized routes based on the acquired information,

[0812] A device that provides information about the visited location using augmented reality technology,

[0813] A device that confirms the location of a person in real time and provides additional information,

[0814] A device that creates user profiles using a generative AI model,

[0815] A system that includes this.

[0816] (Claim 2)

[0817] The system according to claim 1, further comprising a device connected to the location confirmation device for automatically selecting locations of interest.

[0818] (Claim 3)

[0819] The system according to claim 1, further comprising a device for adjusting the route design device in order to optimize visit times based on the order of visits and congestion levels.

[0820] "Application Example 1"

[0821] (Claim 1)

[0822] A device for collecting tourist movement records and interest information,

[0823] A device that generates an optimized route for tourists based on the information collected,

[0824] A device that provides guide information at a visited location using augmented reality technology,

[0825] A device that tracks the location of tourists in real time and provides additional information,

[0826] A device that visualizes additional tourist information and nearby activity information in real time,

[0827] A device that provides dynamic guidance to tourists in an urban environment,

[0828] A system that includes this.

[0829] (Claim 2)

[0830] The system according to claim 1, further comprising a device connected to the real-time visualization device for automatically suggesting activities related to the interests of tourists.

[0831] (Claim 3)

[0832] The system according to claim 1, further comprising a device for adjusting the route generation device in order to optimize the order of visits and visiting times according to the congestion status of tourists.

[0833] "Example 2 of combining an emotion engine"

[0834] (Claim 1)

[0835] A means of recognizing the emotional state of tourists using sensors and collecting emotional data,

[0836] A means for generating an optimized route for tourists based on the collected sentiment data and interest information,

[0837] A means for providing the generated tourist route to an information processing device for tourists' movements,

[0838] A means of providing guide information at a visited location using augmented reality technology,

[0839] A means of tracking the location and emotions of tourists in real time and providing additional information,

[0840] A system that includes this.

[0841] (Claim 2)

[0842] The system according to claim 1, further comprising means for connecting to the location tracking means to automatically suggest spots of interest based on the emotional state of the tourist.

[0843] (Claim 3)

[0844] The system according to claim 1, further comprising means for adjusting the route generation means to optimize the visit time according to the visit order, congestion level, and emotional state of tourists.

[0845] "Application example 2 when combining with an emotional engine"

[0846] (Claim 1)

[0847] A means of collecting tourist movement records and interest information,

[0848] In addition to the information collected, a means for recognizing the user's emotional state,

[0849] Means for generating optimized routes for tourists based on the collected information and emotions,

[0850] A means of correcting the route in real time in response to changes in emotions and sending new suggestions to the terminal,

[0851] A means of providing guide information at a visited location using augmented reality technology,

[0852] A means of tracking the location and emotions of tourists in real time and providing additional information,

[0853] A means of customizing the way information is presented and the content of it based on the user's emotions at the place they visit,

[0854] A system that includes this.

[0855] (Claim 2)

[0856] The system according to claim 1, further comprising means for connecting to the location tracking means and the emotion recognition means in order to automatically suggest spots related to the interests and emotions of tourists.

[0857] (Claim 3)

[0858] The system according to claim 1, further comprising means for adjusting the route generation means in order to optimize the order of visits and visiting times according to the congestion status of tourists, and further adjusting the order of visits according to the emotional state of the user. [Explanation of symbols]

[0859] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A device for collecting tourist movement records and interest information, A device that generates an optimized route for tourists based on the information collected, A device that provides guide information at a visited location using augmented reality technology, A device that tracks the location of tourists in real time and provides additional information, A device that visualizes additional tourist information and nearby activity information in real time, A device that provides dynamic guidance to tourists in an urban environment, A system that includes this.

2. The system according to claim 1, further comprising a device connected to the real-time visualization device for automatically suggesting activities related to the interests of tourists.

3. The system according to claim 1, further comprising a device for adjusting the route generation device in order to optimize the order of visits and visiting times according to the congestion status of tourists.

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