system

Abstract

We provide the system. [Solution] A means for receiving information about the origin and destination from the user, A means for measuring current location information, A means for calculating the optimal travel route based on information received from the user and measured current location information, Means for providing information about the travel path based on the calculated optimal travel path, A means for obtaining the latest traffic conditions and updating the travel route in real time, A system that includes this.

Description

Technical Field

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

Background Art

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In a conventional car navigation system, there are problems that real-time traffic information cannot be fully utilized and it is difficult to avoid traffic jams and accidents. In addition, there is a problem that the information provided during driving is limited and the information for improving the enjoyment of driving is insufficient. Therefore, it is desired to achieve both driving efficiency and enjoyment.

Means for Solving the Problems

[0005] This invention provides a means for calculating the optimal travel route using real-time traffic data based on destination and current location information obtained from the user. Furthermore, by providing a system that includes means for selecting, displaying, and guiding users to interesting information along the travel route based on the user's past behavior history and interests, it is possible to enhance the provision of information while driving while avoiding congestion and accidents.

[0006] "Departure point" refers to the starting point of a journey, and can be specified by the user based on their current location.

[0007] "Destination" refers to the point that the user ultimately wishes to reach.

[0008] "Current location information" refers to coordinate data of the user's current location, obtained by the positioning means built into the device.

[0009] "User" refers to an individual or legal entity that uses this system to receive directions for travel routes.

[0010] The "optimal travel route" is the route that allows you to reach the designated origin and destination in the shortest possible time or distance, and is calculated taking real-time conditions into account.

[0011] "Traffic conditions" include information about factors that affect travel, such as traffic congestion, accidents, and construction on roads.

[0012] "Interesting information" refers to information that is useful or entertaining to the user, such as tourist attractions along the travel route, historical background, and recommended spots.

[0013] "Means of display and guidance" refers to methods by which a terminal transmits information to the user through screen display or audio output. [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] An example of an embodiment of the system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

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

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

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

[0019] In the following embodiments, a 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, etc.

[0020] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[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] The car navigation system according to the present invention can calculate the optimal travel route based on destination and departure point information entered by the user, and adjust the route to reflect real-time traffic conditions. Furthermore, the information provided to the user includes not only route guidance, but also interesting information to enhance the enjoyment of travel.

[0036] The following describes the program's processing in natural language.

[0037] The user enters their destination using the car navigation terminal. This information is processed by the terminal and sent to the server along with the current location information obtained by the GNSS module. The server uses this data to refer to a real-time traffic database and calculates the optimal travel route. This calculation takes into account factors such as traffic congestion, road construction information, and weather information.

[0038] Furthermore, the server uses the user's past behavioral history and interest data to select spots and related information that are likely to interest the user along the optimal route. This information includes, for example, trivia about historical sites and tourist attractions that the user will pass through during their journey. This selected information is then sent to the device along with the optimized travel route.

[0039] Based on the data it receives, the device provides visual and audio guidance to the user. Recommended routes are displayed on the map, and interesting information is notified at appropriate times without distracting the driver.

[0040] For example, when driving from central London to Stonehenge, the system will suggest a recommended highway route if the regular roads are congested. It also makes the journey more enjoyable by providing audio commentary on the historical background of Windsor Castle, which you'll pass along the way.

[0041] In this way, the car navigation system of the present invention not only provides route guidance, but also offers real-time traffic information and information tailored to the user's interests, thereby providing an efficient and engaging travel experience.

[0042] The following describes the processing flow.

[0043] Step 1:

[0044] The user enters the destination into the device. The device retrieves the destination information using the touchscreen or voice input function.

[0045] Step 2:

[0046] The device uses its built-in GNSS module to obtain its current location information. This information includes latitude and longitude data.

[0047] Step 3:

[0048] The device sends the acquired current location information and the destination entered by the user to the server. Communication is conducted using a secure protocol.

[0049] Step 4:

[0050] The server calculates the optimal travel route based on the received destination and current location information, referencing real-time traffic data. Specifically, it uses Dijkstra's Algorithm or A Algorithm for the calculation.

[0051] Step 5:

[0052] The server retrieves the user's past activity history and interests from a database and selects interesting information along the user's route. This information may include tourist attractions and historical background.

[0053] Step 6:

[0054] The server sends the calculated optimal travel route and selected information to the terminal. The information is sent in digital format and formatted so that it can be displayed correctly on the terminal.

[0055] Step 7:

[0056] The device displays the optimal route and interesting information received by the user. It shows the route on a map screen and provides interesting information via voice guidance as needed.

[0057] Step 8:

[0058] The device periodically communicates with the server to obtain the latest traffic conditions and updates the travel route in real time. If notification is necessary to the user, it will display the changed route and provide an audio explanation.

[0059] This series of steps allows users to experience efficient and engaging travel.

[0060] (Example 1)

[0061] 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."

[0062] Conventional car navigation systems simply provide route guidance from the starting point to the destination, lacking real-time updates such as traffic information and personalized information suggestions tailored to individual user interests. As a result, the travel experience is monotonous, and there are problems with efficient route selection and the provision of engaging information.

[0063] 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.

[0064] In this invention, the server includes means for obtaining origin and destination data from the user, means for obtaining current location data, means for calculating the optimal travel route based on the data obtained from the user and the obtained current location data, and means for obtaining the latest traffic conditions and updating the travel route in real time. This makes it possible to provide the user with an efficient and interesting travel experience.

[0065] The "starting point" refers to the point designated by the user as the point from which they begin their journey.

[0066] "Destination" refers to the point that the user is aiming to reach.

[0067] "Data" refers to a collection of information used in a computer system, including location information and user input information.

[0068] "User" refers to a person who uses the system, specifically the person who operates the car navigation system.

[0069] "Location data" refers to information indicating the current geographical location, and includes coordinate information obtained from GNSS modules, etc.

[0070] "Calculation" refers to the act of using given data to determine the optimal travel route.

[0071] "Route" refers to the path or route from the starting point to the destination.

[0072] "Real-time" refers to information or processing being performed immediately, reflecting the current situation.

[0073] "Updating" refers to replacing existing information with new information.

[0074] A "server" refers to a computer system used for data processing and calculations, handling requests from multiple terminals.

[0075] One embodiment of this invention begins with the user inputting information about their starting and ending points using a terminal. The terminal is equipped with a GNSS module, which is used to acquire current location data. The information entered by the user is transmitted to a server via the terminal. When the server calculates a travel route based on this information, it queries a traffic database and takes into account real-time traffic conditions, congestion information, road construction information, weather information, etc.

[0076] The server also selects interesting points of interest and related information around the optimal route based on the user's past behavior history and interest data. For example, it uses databases of tourist destinations and historical sites to find spots that the user might be interested in.

[0077] These processes are performed by a computer program on the server, and as a result, the optimal travel route and related information are sent to the terminal. Based on the received information, the terminal displays the route on a map screen and provides instructions through voice guidance. This allows the user to reach their destination comfortably and efficiently.

[0078] For example, when a user is traveling from a major city to a popular tourist destination, if local roads are congested, the system can quickly guide them to an alternative highway route and provide information about points of interest along the route, making the journey more enjoyable.

[0079] An example of a prompt to be input into the generating AI model is: "Describe a car navigation system that calculates the optimal travel route from real-time traffic data based on the destination and departure point specified by the user, and provides information on historical landmarks as points of interest." In this way, the invention provides a more meaningful travel experience for the user than conventional route guidance.

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

[0081] Step 1:

[0082] The user enters their departure and arrival points using the terminal. At this point, the terminal obtains the current location information using a GNSS module, in addition to the entered departure and destination points. This information becomes the input data to be sent to the server.

[0083] Step 2:

[0084] The server receives data from the terminal, including the departure point, destination, and current location, as input. The server then accesses a real-time traffic database and calculates the optimal travel route, taking into account information such as traffic congestion, road construction, and weather. The calculated optimal travel route is then output.

[0085] Step 3:

[0086] Based on the results of the optimal route calculation, the server uses the user's past behavior history and interest data to select spots around the route that the user is likely to be interested in. It accesses a database of spots and extracts information on the relevant locations. This process outputs information on spots of interest.

[0087] Step 4:

[0088] The server combines the calculated optimal travel route with selected points of interest information and transmits it to the terminal. This information is output as all the data necessary for route guidance.

[0089] Step 5:

[0090] The terminal provides visual and audio navigation to the user, displaying a map based on the travel route and interest point information received from the server. Because the map display software plots the route and the audio guidance module provides navigation, the user can reach their destination efficiently and engagingly. This output represents the final result for the user.

[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 autonomous vehicles, there is a lack of means to provide information that enriches the passenger experience while offering safe and efficient route guidance. To address this challenge, there is a need for a system that optimizes travel routes and provides interesting information using augmented reality technology.

[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 means for inputting information on the starting and ending points, means for measuring location information, and means for calculating the optimal route based on the input information and location information. This makes it possible to provide interesting information using augmented reality technology while providing safe and efficient route guidance.

[0096] The "starting point" is information that indicates the initial geographical location where the user begins their journey.

[0097] "Destination" refers to information indicating the final geographical location where the user completes their journey and reaches their destination.

[0098] "Location information" refers to data that indicates the current geographical coordinates and is fundamental information used to calculate travel routes.

[0099] A "route" is the path that represents the optimal process of travel from a starting point to an ending point.

[0100] "Traffic data" refers to the latest information on road congestion and traffic events. This enables real-time route adjustments.

[0101] Augmented reality technology is a technology that overlays digital information onto information from the real world.

[0102] A "server" is an electronic device that processes location information and user requests, and provides calculation results and related information.

[0103] "Means of providing information" refers to means of communication and display for conveying routes and interesting information to users.

[0104] The system for carrying out this invention consists of a user terminal, location measurement hardware, and an information processing server. The user terminal has an interface for receiving input of a starting point and an ending point, and acquires current location information using a GNSS (Global Navigation Satellite System) module. A GNSS sensor built into a commonly used smartphone is suitable as the location measurement hardware.

[0105] When a user enters their starting and ending points into their device, that information is sent to a server. The server accesses a real-time traffic database based on the location information and calculates the optimal route, including road congestion and traffic events. This process uses algorithms that process traffic flow data, and also selects points of interest by referring to past behavioral history and interest databases.

[0106] The selected information is displayed on the user's device using augmented reality technology. This display is, for example, done through a head-mounted display, allowing the user to perceive the information superimposed on the real-world scenery. Commonly used for this display are AR development software libraries such as Unity, ARKit, and ARCore.

[0107] As a concrete example, when a user is traveling to tourist attractions within a city, the system suggests routes that avoid congestion while displaying historical background and cultural information using AR technology. By using a generative AI model, the system provides the user with the most relevant information along with prompts. An example of a prompt might be, "If the user is sightseeing in Tokyo, please explain the historical information of nearby landmarks."

[0108] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0109] Step 1:

[0110] The user inputs the starting and ending points using the terminal's interface. The terminal receives this input information and stores it in its internal data structure. Furthermore, it obtains the current location information using a GNSS module and treats this as data as well.

[0111] Step 2:

[0112] The device transmits the acquired starting point, ending point, and current location information to the server. The server accesses a traffic database based on this data and extracts the latest available traffic information. As part of the data processing, the location information and traffic information are compared in real time to calculate the optimal route.

[0113] Step 3:

[0114] Based on the calculated optimal route, the server refers to the user's past behavior history and interest database to list interesting points along the route. Using a generative AI model, it selects information that matches the user's interests, along with prompt messages. This output data also includes detailed information about each point.

[0115] Step 4:

[0116] The server formats the optimal route and listed points of interest for augmented reality display and sends them to the terminal. The terminal uses AR software such as Unity or ARKit to visualize the received information. Specifically, the information is displayed overlaid on the real-world scenery, and the user visually perceives this through a head-mounted display.

[0117] Step 5:

[0118] The user follows a route through visual and audio guidance provided by the device. The visualized information is updated sequentially according to the user's location along the route. If the user deviates from the route, the device requests a recalculation from the server and receives the updated route. This process enables real-time route guidance.

[0119] 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.

[0120] The car navigation system according to the present invention is a system that calculates the optimal travel route based on destination and departure information entered by the user, and can dynamically update the travel route to reflect real-time traffic conditions. This system has a function to select interesting information to provide during travel based on the user's past behavior history and interests, and is further characterized by recognizing the user's emotional state by combining it with an emotion engine, and customizing the information provided according to the user's emotions.

[0121] This system begins with the terminal receiving input from the user and measuring the current location using a GNSS module. The terminal sends this information to a server, which calculates the optimal route based on real-time traffic data. In doing so, it refers to past behavioral history and interest data to select information that is valuable to the user. The emotion engine analyzes sensor inputs such as the user's voice, facial expressions, and driving patterns to evaluate the user's emotional state.

[0122] For example, if a user is feeling stressed, the emotion engine might suggest relaxing music or provide information on interesting tourist spots. If it detects that the user is emotionally agitated, the system might adjust its instructions to simplify detailed directions, helping the user concentrate on driving.

[0123] In this way, the terminal displays the travel route based on information obtained from the server and provides voice and visual guidance. By incorporating real-time feedback based on the user's emotional information, a more personalized user experience can be provided, significantly improving the efficiency and comfort of driving. In this way, the present invention provides a practical and emotionally interactive travel companion.

[0124] The following describes the processing flow.

[0125] Step 1:

[0126] The user operates the device to enter a destination. The device retrieves this destination data and saves it to the interface.

[0127] Step 2:

[0128] The device uses a built-in GNSS module to determine its current location and acquire latitude and longitude data. This data is updated in real time.

[0129] Step 3:

[0130] The device sends destination and current location information to the server. The transmitted data is transferred via an encrypted, secure channel.

[0131] Step 4:

[0132] Based on the received data, the server calculates the optimal travel route while considering real-time traffic conditions. This calculation takes into account road congestion information and traffic accident data.

[0133] Step 5:

[0134] The server references the user's past behavior history and interests to search for interesting information along their travel route, including tourist attractions and local event information.

[0135] Step 6:

[0136] The device identifies the user's emotional state using an emotion engine. It evaluates the user's emotions based on voice tone analysis, facial recognition, and driving behavior analysis.

[0137] Step 7:

[0138] Based on the results of the emotion engine, the server adjusts the information provided according to the user's current emotional state. For example, it might select relaxing music or present interesting information.

[0139] Step 8:

[0140] The terminal displays the optimal travel route and customized information obtained from the server to the user. It shows the route on a map screen and provides guidance through voice and display.

[0141] Step 9:

[0142] The terminal periodically sends real-time update requests to the server, dynamically updating route information in response to traffic conditions and changes in user sentiment. If user notification is necessary, the changes are displayed and explained via voice guidance.

[0143] This series of steps ensures that users can always enjoy a comfortable and efficient driving experience with up-to-date route information and customized content.

[0144] (Example 2)

[0145] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0146] Conventional car navigation systems simply display the optimal route, lacking personalized information tailored to the user's individual emotional state, past behavioral history, and interests. As a result, they struggled to provide users with sufficient driving comfort and a personalized experience. In addition, the limited real-time updating of routes in response to traffic conditions meant that appropriate navigation could not be provided in response to changing traffic conditions.

[0147] 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.

[0148] In this invention, the server includes means for receiving origin and destination data from the user, a module for measuring current location information, and a function for analyzing the user's emotional state and customizing the information provided according to the user's emotions. This makes it possible to provide personalized information according to the individual emotional state of the user, thereby improving the comfort and efficiency of driving.

[0149] "Departure and destination data" refers to information about the starting point and destination of the journey as set by the user.

[0150] A "module for measuring current location information" is a device that uses GNSS or other location acquisition technologies to determine the user's current geographical location.

[0151] A "device for calculating the optimal travel route" is a device that calculates the shortest or most efficient route based on the user's origin, destination, and current location, by referring to traffic information and map data.

[0152] "Means for providing data on travel routes" refers to an interface or means for presenting users with detailed information about the calculated travel route.

[0153] The "function to acquire the latest traffic conditions and update the travel route in real time" refers to the ability to incorporate real-time changing traffic information and dynamically modify the travel route as needed.

[0154] The "function for analyzing emotional state" is a technology that uses data such as voice, facial expressions, and behavioral patterns to recognize and evaluate the user's emotional state.

[0155] "Customization capabilities" refer to the ability to adjust output information and service content according to specific conditions or requirements.

[0156] The "function to select information based on past behavioral history and interests" refers to the ability to analyze data related to a user's past activities and interests to identify useful or interesting information.

[0157] "Display and guidance devices" refer to hardware and software that convey information to users visually or audibly.

[0158] This invention provides specific means for functioning as a car navigation system. Operation begins when the user inputs origin and destination data into a terminal. This input utilizes a touchscreen display or voice recognition software. The terminal also measures its current location in real time using a GNSS module and transmits this information to a server. The server calculates the optimal travel route based on the location information and current traffic conditions. Traffic information is obtained using an API, and the route is planned by referring to a map database.

[0159] Furthermore, the server analyzes the user's past behavioral history and interest data to select interesting information. At this time, a generative AI model is used to personalize the user's data and edit information based on their interests. The user's emotional state is analyzed by the server's emotion engine based on data obtained through the device's built-in camera and microphone. This enables the provision of information tailored to the user's current emotions, suggesting music that promotes relaxation and information on interesting tourist spots.

[0160] As a practical example, if a user is planning a drive to relieve work stress, the device can assess the user's stress level and suggest a calming music playlist. It can also incorporate nearby parks and relaxation spots into the route. This kind of personalized information makes driving more comfortable and safer.

[0161] A concrete example of a prompt message is, "Please select music that promotes relaxation based on the user's current emotional state." This enables the provision of appropriate information tailored to the user's emotions.

[0162] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0163] Step 1:

[0164] The user inputs origin and destination data through the terminal's interface. The terminal receives this as input data and then uses a GNSS module to determine the current geographical location. The output of this step is a set of information about the origin, destination, and current location.

[0165] Step 2:

[0166] The terminal sends its measured current location information and user input data to the server. The server receives this data and retrieves real-time traffic information from its database. Based on this, the server calculates the optimal route and outputs the result. The travel route obtained from this calculation becomes the input for the next step.

[0167] Step 3:

[0168] The server references the user's past behavior history and interest database to select information that will interest the user along their travel path. Using a generative AI model, it analyzes information relevant to the user's specific interests and generates personalized information. This output is a personalized set of information, forming the next feedback cycle.

[0169] Step 4:

[0170] The device analyzes the user's voice and facial expressions using data from the camera and microphone. This data is sent to a server, where an emotion engine analyzes it to evaluate the user's emotional state. Based on this, the server adjusts the way information is provided and returns the result to the device. The output of this evaluation is information that is appropriate for the user.

[0171] Step 5:

[0172] The device visually and audibly presents the user with calculated routes, personalized information, and adjusted content based on their emotional state. The route is displayed on the screen, and navigation instructions and selected music are provided through the speaker. The output of this step enriches the user's navigation experience.

[0173] By following these steps, users can experience efficient and personalized navigation.

[0174] (Application Example 2)

[0175] 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 device 14 will be referred to as the "terminal."

[0176] In autonomous vehicles, there is a need to provide a more comfortable and personalized travel experience by integrating real-time traffic information with the emotional state of the user. Conventional navigation systems have the challenge of not being able to reduce stress and discomfort during travel because they have difficulty providing adaptive information that responds to the user's psychological state.

[0177] 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.

[0178] In this invention, the server includes means for receiving origin and destination information from the user, means for measuring current location information, means for calculating the optimal travel route based on the information received from the user and the measured current location information, means for providing information about the travel route based on the calculated optimal travel route, means for acquiring the latest traffic conditions and updating the travel route in real time, and means for analyzing the user's emotional state and adjusting the information provided based on that. This makes it possible to provide customized information and guidance on the optimal route according to the user's emotional state.

[0179] "Information about the starting point and destination" refers to data about the location from which the user begins their journey and the location they are aiming for.

[0180] "Means of receiving information from users" refers to the interfaces and processes used to obtain information provided by users.

[0181] "Current location information" refers to coordinate data that indicates the actual geographical location of the user or vehicle.

[0182] "Means for calculating the optimal travel route" refers to a process or device that calculates the most efficient or fastest route based on the origin, destination, current location, and traffic information.

[0183] "Means of providing information regarding travel routes" refers to means of informing users of their calculated travel routes, and includes formats such as audio and visual displays.

[0184] "Means of obtaining the latest traffic conditions" refers to a process or device for accessing and obtaining current road and traffic conditions in real time.

[0185] "Means of updating in real time" refers to a process or function that immediately adjusts the travel route using the latest acquired information.

[0186] "Means for analyzing a user's emotional state" refers to the process of using sensors or algorithms to measure and identify a user's psychological state.

[0187] "Means of adjusting the information provided" refers to processes or functions for modifying or changing the information presented according to the user's situation and emotions.

[0188] This invention is an autonomous vehicle assistance system designed to provide users with a comfortable and personalized travel experience. The system consists of multiple components that provide information on the user's origin and destination, calculate and update the optimal route, and customize the information based on their emotional state.

[0189] The server first receives origin and destination information from the user and measures the user's current location using a GNSS module. Based on the received information and the measured current location, the server calculates the optimal travel route. Real-time traffic information is also incorporated into the calculation, and emotion recognition algorithms such as OpenCV and DeepFace are used to analyze the user's emotional state. Based on this, the server adjusts the information provided and recommends music, tourist spots, etc., as needed.

[0190] The terminal uses this calculated data to provide users with visual and audio guidance and offers a platform for selecting information based on the user's past behavioral history and interests. Furthermore, it can improve efficiency by obtaining the latest traffic conditions via data communication and updating travel routes in real time.

[0191] For example, if a passenger decides they want to have lunch during a long-distance journey, the system can analyze their emotional state to determine if they are seeking relaxation and then suggest a nearby, highly-rated restaurant. Furthermore, if a passenger is feeling stressed during traffic, the system can select relaxing music for them.

[0192] An example of a prompt for a generative AI model is: "Design a navigation system that recognizes the user's emotional state and suggests relaxation music to reduce stress."

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

[0194] Step 1:

[0195] The terminal receives origin and destination information from the user. The input is the location information selected by the user, which is accepted by the system and used in the next step. The output is the coordinate data of the origin and destination.

[0196] Step 2:

[0197] The server uses a GNSS module to determine its current location. The input for this step is the signal from the GNSS device, and the server calculates the current latitude and longitude as data calculations, providing accurate current location data as output.

[0198] Step 3:

[0199] The server calculates the optimal travel route based on the received origin and destination information and the current location. The input consists of this location information and data from a real-time traffic information API. As part of the data processing, it performs integrated calculations to generate the optimal route as output.

[0200] Step 4:

[0201] The server uses OpenCV and DeepFace to analyze the user's emotional state. Input comes from sensors such as cameras and microphones, which are used for facial recognition and voice analysis, and the server outputs a determination of the user's emotional state.

[0202] Step 5:

[0203] The server adjusts the information provided based on the emotional state. The input is the emotional data obtained in step 4, and as a data calculation, it selects music and tourist spot information accordingly, and the output is the adjusted information.

[0204] Step 6:

[0205] The terminal guides the user with this data visually and audibly. The input consists of the adjustment information obtained in step 5 and the optimal path in step 3, which the system uses to provide audio and visual feedback, and the output is user-friendly guidance.

[0206] Step 7:

[0207] The server obtains the latest traffic conditions via data communication and updates the travel route in real time. The input is data from an external traffic information API, the route information is recalculated as a data operation, and the updated route guidance is generated as output.

[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] The car navigation system according to the present invention can calculate the optimal travel route based on destination and departure point information entered by the user, and adjust the route to reflect real-time traffic conditions. Furthermore, the information provided to the user includes not only route guidance, but also interesting information to enhance the enjoyment of travel.

[0225] The following describes the program's processing in natural language.

[0226] The user enters their destination using the car navigation terminal. This information is processed by the terminal and sent to the server along with the current location information obtained by the GNSS module. The server uses this data to refer to a real-time traffic database and calculates the optimal travel route. This calculation takes into account factors such as traffic congestion, road construction information, and weather information.

[0227] Furthermore, the server uses the user's past behavioral history and interest data to select spots and related information that are likely to interest the user along the optimal route. This information includes, for example, trivia about historical sites and tourist attractions that the user will pass through during their journey. This selected information is then sent to the device along with the optimized travel route.

[0228] Based on the data it receives, the device provides visual and audio guidance to the user. Recommended routes are displayed on the map, and interesting information is notified at appropriate times without distracting the driver.

[0229] For example, when driving from central London to Stonehenge, the system will suggest a recommended highway route if the regular roads are congested. It also makes the journey more enjoyable by providing audio commentary on the historical background of Windsor Castle, which you'll pass along the way.

[0230] In this way, the car navigation system of the present invention not only provides route guidance, but also offers real-time traffic information and information tailored to the user's interests, thereby providing an efficient and engaging travel experience.

[0231] The following describes the processing flow.

[0232] Step 1:

[0233] The user enters the destination into the device. The device retrieves the destination information using the touchscreen or voice input function.

[0234] Step 2:

[0235] The device uses its built-in GNSS module to obtain its current location information. This information includes latitude and longitude data.

[0236] Step 3:

[0237] The device sends the acquired current location information and the destination entered by the user to the server. Communication is conducted using a secure protocol.

[0238] Step 4:

[0239] The server calculates the optimal travel route based on the received destination and current location information, referencing real-time traffic data. Specifically, it uses Dijkstra's Algorithm or A Algorithm for the calculation.

[0240] Step 5:

[0241] The server retrieves the user's past activity history and interests from a database and selects interesting information along the user's route. This information may include tourist attractions and historical background.

[0242] Step 6:

[0243] The server sends the calculated optimal travel route and selected information to the terminal. The information is sent in digital format and formatted so that it can be displayed correctly on the terminal.

[0244] Step 7:

[0245] The device displays the optimal route and interesting information received by the user. It shows the route on a map screen and provides interesting information via voice guidance as needed.

[0246] Step 8:

[0247] The device periodically communicates with the server to obtain the latest traffic conditions and updates the travel route in real time. If notification is necessary to the user, it will display the changed route and provide an audio explanation.

[0248] This series of steps allows users to experience efficient and engaging travel.

[0249] (Example 1)

[0250] 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."

[0251] Conventional car navigation systems simply provide route guidance from the starting point to the destination, lacking real-time updates such as traffic information and personalized information suggestions tailored to individual user interests. As a result, the travel experience is monotonous, and there are problems with efficient route selection and the provision of engaging information.

[0252] 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.

[0253] In this invention, the server includes means for obtaining origin and destination data from the user, means for obtaining current location data, means for calculating the optimal travel route based on the data obtained from the user and the obtained current location data, and means for obtaining the latest traffic conditions and updating the travel route in real time. This makes it possible to provide the user with an efficient and interesting travel experience.

[0254] The "starting point" refers to the point designated by the user as the point from which they begin their journey.

[0255] "Destination" refers to the point that the user is aiming to reach.

[0256] "Data" refers to a collection of information used in a computer system, including location information and user input information.

[0257] "User" refers to a person who uses the system, specifically the person who operates the car navigation system.

[0258] "Location data" refers to information indicating the current geographical location, and includes coordinate information obtained from GNSS modules, etc.

[0259] "Calculation" refers to the act of using given data to determine the optimal travel route.

[0260] "Route" refers to the path or route from the starting point to the destination.

[0261] "Real-time" refers to information or processing being performed immediately, reflecting the current situation.

[0262] "Updating" refers to replacing existing information with new information.

[0263] A "server" refers to a computer system used for data processing and calculations, handling requests from multiple terminals.

[0264] One embodiment of this invention begins with the user inputting information about their starting and ending points using a terminal. The terminal is equipped with a GNSS module, which is used to acquire current location data. The information entered by the user is transmitted to a server via the terminal. When the server calculates a travel route based on this information, it queries a traffic database and takes into account real-time traffic conditions, congestion information, road construction information, weather information, etc.

[0265] The server also selects interesting points of interest and related information around the optimal route based on the user's past behavior history and interest data. For example, it uses databases of tourist destinations and historical sites to find spots that the user might be interested in.

[0266] These processes are performed by a computer program on the server, and as a result, the optimal travel route and related information are sent to the terminal. Based on the received information, the terminal displays the route on a map screen and provides instructions through voice guidance. This allows the user to reach their destination comfortably and efficiently.

[0267] For example, when a user is traveling from a major city to a popular tourist destination, if local roads are congested, the system can quickly guide them to an alternative highway route and provide information about points of interest along the route, making the journey more enjoyable.

[0268] An example of a prompt to be input into the generating AI model is: "Describe a car navigation system that calculates the optimal travel route from real-time traffic data based on the destination and departure point specified by the user, and provides information on historical landmarks as points of interest." In this way, the invention provides a more meaningful travel experience for the user than conventional route guidance.

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

[0270] Step 1:

[0271] The user enters their departure and arrival points using the terminal. At this point, the terminal obtains the current location information using a GNSS module, in addition to the entered departure and destination points. This information becomes the input data to be sent to the server.

[0272] Step 2:

[0273] The server receives data from the terminal, including the departure point, destination, and current location, as input. The server then accesses a real-time traffic database and calculates the optimal travel route, taking into account information such as traffic congestion, road construction, and weather. The calculated optimal travel route is then output.

[0274] Step 3:

[0275] Based on the results of the optimal route calculation, the server uses the user's past behavior history and interest data to select spots around the route that the user is likely to be interested in. It accesses a database of spots and extracts information on the relevant locations. This process outputs information on spots of interest.

[0276] Step 4:

[0277] The server combines the calculated optimal travel route with selected points of interest information and transmits it to the terminal. This information is output as all the data necessary for route guidance.

[0278] Step 5:

[0279] The terminal provides visual and audio navigation to the user, displaying a map based on the travel route and interest point information received from the server. Because the map display software plots the route and the audio guidance module provides navigation, the user can reach their destination efficiently and engagingly. This output represents the final result for the user.

[0280] (Application Example 1)

[0281] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0282] In autonomous vehicles, there is a lack of information - providing means for enriching the experience of passengers during movement while providing safe and efficient route guidance. In order to solve this problem, a system that provides interesting information using augmented reality technology along with optimizing the movement route is required.

[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 means for inputting information on the starting point and the ending point, means for measuring position information, and means for calculating an optimal route based on the input information and the position information. Thereby, it becomes possible to provide interesting information using augmented reality technology during movement while giving safe and efficient route guidance.

[0285] The "starting point" is information indicating the initial geographical position where the user starts moving.

[0286] The "ending point" is information indicating the final geographical position where the user completes the movement and reaches the destination.

[0287] The "position information" is data indicating the current geographical coordinates and is the basic information used for calculating the movement route.

[0288] The "route" is the path indicating the optimal movement process from the starting point to the ending point.

[0289] The "traffic data" refers to the latest information on road congestion conditions and traffic events. This enables real - time adjustment of the route.

[0290] The "augmented reality technology" is a technology that overlays digital information on real - world information for display.

[0291] The "server" is an electronic device that processes position information and requests from users and provides calculation results and related information.

[0292] "Means of providing information" refers to means of communication and display for conveying routes and interesting information to users.

[0293] The system for carrying out this invention consists of a user terminal, location measurement hardware, and an information processing server. The user terminal has an interface for receiving input of a starting point and an ending point, and acquires current location information using a GNSS (Global Navigation Satellite System) module. A GNSS sensor built into a commonly used smartphone is suitable as the location measurement hardware.

[0294] When a user enters their starting and ending points into their device, that information is sent to a server. The server accesses a real-time traffic database based on the location information and calculates the optimal route, including road congestion and traffic events. This process uses algorithms that process traffic flow data, and also selects points of interest by referring to past behavioral history and interest databases.

[0295] The selected information is displayed on the user's device using augmented reality technology. This display is, for example, done through a head-mounted display, allowing the user to perceive the information superimposed on the real-world scenery. Commonly used for this display are AR development software libraries such as Unity, ARKit, and ARCore.

[0296] As a concrete example, when a user is traveling to tourist attractions within a city, the system suggests routes that avoid congestion while displaying historical background and cultural information using AR technology. By using a generative AI model, the system provides the user with the most relevant information along with prompts. An example of a prompt might be, "If the user is sightseeing in Tokyo, please explain the historical information of nearby landmarks."

[0297] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0298] Step 1:

[0299] The user inputs the starting and ending points using the terminal's interface. The terminal receives this input information and stores it in its internal data structure. Furthermore, it obtains the current location information using a GNSS module and treats this as data as well.

[0300] Step 2:

[0301] The device transmits the acquired starting point, ending point, and current location information to the server. The server accesses a traffic database based on this data and extracts the latest available traffic information. As part of the data processing, the location information and traffic information are compared in real time to calculate the optimal route.

[0302] Step 3:

[0303] Based on the calculated optimal route, the server refers to the user's past behavior history and interest database to list interesting points along the route. Using a generative AI model, it selects information that matches the user's interests, along with prompt messages. This output data also includes detailed information about each point.

[0304] Step 4:

[0305] The server formats the optimal route and listed points of interest for augmented reality display and sends them to the terminal. The terminal uses AR software such as Unity or ARKit to visualize the received information. Specifically, the information is displayed overlaid on the real-world scenery, and the user visually perceives this through a head-mounted display.

[0306] Step 5:

[0307] The user follows the route through the visual and audio guidance provided by the terminal. The visualized information is sequentially updated according to the user's position on the route. When the user deviates from the route, the terminal requests recalculation from the server and receives the updated route. Through this process, real-time route guidance is realized.

[0308] Furthermore, an emotion engine for estimating the user's emotion may be combined. That is, the specific processing unit 290 may estimate the user's emotion using the emotion recognition model 59 and perform specific processing using the user's emotion.

[0309] The car navigation system according to the present invention is a system that can calculate an optimal travel route based on information on the destination and departure point input by the user, and dynamically update the travel route reflecting the real-time traffic situation. This system has a function of selecting interesting information to be provided during travel based on the user's past behavior history and interests, and further combines an emotion engine to recognize the user's emotional state and customize the provided information according to the user's emotion.

[0310] This system starts with the terminal receiving an input from the user and measuring the current position by the GNSS module. The terminal transmits this information to the server, and the server calculates an optimal route based on the real-time traffic data. At this time, the past behavior history and interest data are referred to, and information valuable to the user is selected. The emotion engine analyzes sensor inputs such as the user's voice, expression, and driving pattern, and evaluates the user's emotional state.

[0311] For example, when the user is feeling stressed, the emotion engine proposes music with a relaxation effect or provides information on tourist spots that attract interest. Also, when it is determined that the emotion is excited, the system adjusts to help the user concentrate on driving by simplifying the detailed road guidance.

[0312] In this way, the terminal displays the travel route based on information obtained from the server and provides voice and visual guidance. By incorporating real-time feedback based on the user's emotional information, a more personalized user experience can be provided, significantly improving the efficiency and comfort of driving. In this way, the present invention provides a practical and emotionally interactive travel companion.

[0313] The following describes the processing flow.

[0314] Step 1:

[0315] The user operates the device to enter a destination. The device retrieves this destination data and saves it to the interface.

[0316] Step 2:

[0317] The device uses a built-in GNSS module to determine its current location and acquire latitude and longitude data. This data is updated in real time.

[0318] Step 3:

[0319] The device sends destination and current location information to the server. The transmitted data is transferred via an encrypted, secure channel.

[0320] Step 4:

[0321] Based on the received data, the server calculates the optimal travel route while considering real-time traffic conditions. This calculation takes into account road congestion information and traffic accident data.

[0322] Step 5:

[0323] The server references the user's past behavior history and interests to search for interesting information along their travel route, including tourist attractions and local event information.

[0324] Step 6:

[0325] The device identifies the user's emotional state using an emotion engine. It evaluates the user's emotions based on voice tone analysis, facial recognition, and driving behavior analysis.

[0326] Step 7:

[0327] Based on the results of the emotion engine, the server adjusts the information provided according to the user's current emotional state. For example, it might select relaxing music or present interesting information.

[0328] Step 8:

[0329] The terminal displays the optimal travel route and customized information obtained from the server to the user. It shows the route on a map screen and provides guidance through voice and display.

[0330] Step 9:

[0331] The terminal periodically sends real-time update requests to the server, dynamically updating route information in response to traffic conditions and changes in user sentiment. If user notification is necessary, the changes are displayed and explained via voice guidance.

[0332] This series of steps ensures that users can always enjoy a comfortable and efficient driving experience with up-to-date route information and customized content.

[0333] (Example 2)

[0334] 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".

[0335] Conventional car navigation systems simply display the optimal route, lacking personalized information tailored to the user's individual emotional state, past behavioral history, and interests. As a result, they struggled to provide users with sufficient driving comfort and a personalized experience. In addition, the limited real-time updating of routes in response to traffic conditions meant that appropriate navigation could not be provided in response to changing traffic conditions.

[0336] 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.

[0337] In this invention, the server includes means for receiving origin and destination data from the user, a module for measuring current location information, and a function for analyzing the user's emotional state and customizing the information provided according to the user's emotions. This makes it possible to provide personalized information according to the individual emotional state of the user, thereby improving the comfort and efficiency of driving.

[0338] "Departure and destination data" refers to information about the starting point and destination of the journey as set by the user.

[0339] A "module for measuring current location information" is a device that uses GNSS or other location acquisition technologies to determine the user's current geographical location.

[0340] A "device for calculating the optimal travel route" is a device that calculates the shortest or most efficient route based on the user's origin, destination, and current location, by referring to traffic information and map data.

[0341] "Means for providing data on travel routes" refers to an interface or means for presenting users with detailed information about the calculated travel route.

[0342] The "function to acquire the latest traffic conditions and update the travel route in real time" refers to the ability to incorporate real-time changing traffic information and dynamically modify the travel route as needed.

[0343] The "function for analyzing emotional state" is a technology that uses data such as voice, facial expressions, and behavioral patterns to recognize and evaluate the user's emotional state.

[0344] "Customization capabilities" refer to the ability to adjust output information and service content according to specific conditions or requirements.

[0345] The "function to select information based on past behavioral history and interests" refers to the ability to analyze data related to a user's past activities and interests to identify useful or interesting information.

[0346] "Display and guidance devices" refer to hardware and software that convey information to users visually or audibly.

[0347] This invention provides specific means for functioning as a car navigation system. Operation begins when the user inputs origin and destination data into a terminal. This input utilizes a touchscreen display or voice recognition software. The terminal also measures its current location in real time using a GNSS module and transmits this information to a server. The server calculates the optimal travel route based on the location information and current traffic conditions. Traffic information is obtained using an API, and the route is planned by referring to a map database.

[0348] Furthermore, the server analyzes the user's past behavioral history and interest data to select interesting information. At this time, a generative AI model is used to personalize the user's data and edit information based on their interests. The user's emotional state is analyzed by the server's emotion engine based on data obtained through the device's built-in camera and microphone. This enables the provision of information tailored to the user's current emotions, suggesting music that promotes relaxation and information on interesting tourist spots.

[0349] As a practical example, if a user is planning a drive to relieve work stress, the device can assess the user's stress level and suggest a calming music playlist. It can also incorporate nearby parks and relaxation spots into the route. This kind of personalized information makes driving more comfortable and safer.

[0350] A concrete example of a prompt message is, "Please select music that promotes relaxation based on the user's current emotional state." This enables the provision of appropriate information tailored to the user's emotions.

[0351] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0352] Step 1:

[0353] The user inputs origin and destination data through the terminal's interface. The terminal receives this as input data and then uses a GNSS module to determine the current geographical location. The output of this step is a set of information about the origin, destination, and current location.

[0354] Step 2:

[0355] The terminal sends its measured current location information and user input data to the server. The server receives this data and retrieves real-time traffic information from its database. Based on this, the server calculates the optimal route and outputs the result. The travel route obtained from this calculation becomes the input for the next step.

[0356] Step 3:

[0357] The server references the user's past behavior history and interest database to select information that will interest the user along their travel path. Using a generative AI model, it analyzes information relevant to the user's specific interests and generates personalized information. This output is a personalized set of information, forming the next feedback cycle.

[0358] Step 4:

[0359] The device analyzes the user's voice and facial expressions using data from the camera and microphone. This data is sent to a server, where an emotion engine analyzes it to evaluate the user's emotional state. Based on this, the server adjusts the way information is provided and returns the result to the device. The output of this evaluation is information that is appropriate for the user.

[0360] Step 5:

[0361] The device visually and audibly presents the user with calculated routes, personalized information, and adjusted content based on their emotional state. The route is displayed on the screen, and navigation instructions and selected music are provided through the speaker. The output of this step enriches the user's navigation experience.

[0362] By following these steps, users can experience efficient and personalized navigation.

[0363] (Application Example 2)

[0364] 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."

[0365] In autonomous vehicles, there is a need to provide a more comfortable and personalized travel experience by integrating real-time traffic information with the emotional state of the user. Conventional navigation systems have the challenge of not being able to reduce stress and discomfort during travel because they have difficulty providing adaptive information that responds to the user's psychological state.

[0366] 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.

[0367] In this invention, the server includes means for receiving origin and destination information from the user, means for measuring current location information, means for calculating the optimal travel route based on the information received from the user and the measured current location information, means for providing information about the travel route based on the calculated optimal travel route, means for acquiring the latest traffic conditions and updating the travel route in real time, and means for analyzing the user's emotional state and adjusting the information provided based on that. This makes it possible to provide customized information and guidance on the optimal route according to the user's emotional state.

[0368] "Information about the starting point and destination" refers to data about the location from which the user begins their journey and the location they are aiming for.

[0369] "Means of receiving information from users" refers to the interfaces and processes used to obtain information provided by users.

[0370] "Current location information" refers to coordinate data that indicates the actual geographical location of the user or vehicle.

[0371] "Means for calculating the optimal travel route" refers to a process or device that calculates the most efficient or fastest route based on the origin, destination, current location, and traffic information.

[0372] "Means of providing information regarding travel routes" refers to means of informing users of their calculated travel routes, and includes formats such as audio and visual displays.

[0373] "Means of obtaining the latest traffic conditions" refers to a process or device for accessing and obtaining current road and traffic conditions in real time.

[0374] "Means of updating in real time" refers to a process or function that immediately adjusts the travel route using the latest acquired information.

[0375] "Means for analyzing a user's emotional state" refers to the process of using sensors or algorithms to measure and identify a user's psychological state.

[0376] "Means of adjusting the information provided" refers to processes or functions for modifying or changing the information presented according to the user's situation and emotions.

[0377] This invention is an autonomous vehicle assistance system designed to provide users with a comfortable and personalized travel experience. The system consists of multiple components that provide information on the user's origin and destination, calculate and update the optimal route, and customize the information based on their emotional state.

[0378] The server first receives origin and destination information from the user and measures the user's current location using a GNSS module. Based on the received information and the measured current location, the server calculates the optimal travel route. Real-time traffic information is also incorporated into the calculation, and emotion recognition algorithms such as OpenCV and DeepFace are used to analyze the user's emotional state. Based on this, the server adjusts the information provided and recommends music, tourist spots, etc., as needed.

[0379] The terminal uses this calculated data to provide users with visual and audio guidance and offers a platform for selecting information based on the user's past behavioral history and interests. Furthermore, it can improve efficiency by obtaining the latest traffic conditions via data communication and updating travel routes in real time.

[0380] For example, if a passenger decides they want to have lunch during a long-distance journey, the system can analyze their emotional state to determine if they are seeking relaxation and then suggest a nearby, highly-rated restaurant. Furthermore, if a passenger is feeling stressed during traffic, the system can select relaxing music for them.

[0381] An example of a prompt for a generative AI model is: "Design a navigation system that recognizes the user's emotional state and suggests relaxation music to reduce stress."

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

[0383] Step 1:

[0384] The terminal receives origin and destination information from the user. The input is the location information selected by the user, which is accepted by the system and used in the next step. The output is the coordinate data of the origin and destination.

[0385] Step 2:

[0386] The server uses a GNSS module to determine its current location. The input for this step is the signal from the GNSS device, and the server calculates the current latitude and longitude as data calculations, providing accurate current location data as output.

[0387] Step 3:

[0388] The server calculates the optimal travel route based on the received origin and destination information and the current location. The input consists of this location information and data from a real-time traffic information API. As part of the data processing, it performs integrated calculations to generate the optimal route as output.

[0389] Step 4:

[0390] The server uses OpenCV and DeepFace to analyze the user's emotional state. Input comes from sensors such as cameras and microphones, which are used for facial recognition and voice analysis, and the server outputs a determination of the user's emotional state.

[0391] Step 5:

[0392] The server adjusts the information provided based on the emotional state. The input is the emotional data obtained in step 4, and as a data calculation, it selects music and tourist spot information accordingly, and the output is the adjusted information.

[0393] Step 6:

[0394] The terminal guides the user with this data visually and audibly. The input consists of the adjustment information obtained in step 5 and the optimal path in step 3, which the system uses to provide audio and visual feedback, and the output is user-friendly guidance.

[0395] Step 7:

[0396] The server obtains the latest traffic conditions via data communication and updates the travel route in real time. The input is data from an external traffic information API, the route information is recalculated as a data operation, and the updated route guidance is generated as output.

[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). An 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] The car navigation system according to the present invention can calculate the optimal travel route based on destination and departure point information entered by the user, and adjust the route to reflect real-time traffic conditions. Furthermore, the information provided to the user includes not only route guidance, but also interesting information to enhance the enjoyment of travel.

[0414] The following describes the program's processing in natural language.

[0415] The user enters their destination using the car navigation terminal. This information is processed by the terminal and sent to the server along with the current location information obtained by the GNSS module. The server uses this data to refer to a real-time traffic database and calculates the optimal travel route. This calculation takes into account factors such as traffic congestion, road construction information, and weather information.

[0416] Furthermore, the server uses the user's past behavioral history and interest data to select spots and related information that are likely to interest the user along the optimal route. This information includes, for example, trivia about historical sites and tourist attractions that the user will pass through during their journey. This selected information is then sent to the device along with the optimized travel route.

[0417] Based on the data it receives, the device provides visual and audio guidance to the user. Recommended routes are displayed on the map, and interesting information is notified at appropriate times without distracting the driver.

[0418] For example, when driving from central London to Stonehenge, the system will suggest a recommended highway route if the regular roads are congested. It also makes the journey more enjoyable by providing audio commentary on the historical background of Windsor Castle, which you'll pass along the way.

[0419] In this way, the car navigation system of the present invention not only provides route guidance, but also offers real-time traffic information and information tailored to the user's interests, thereby providing an efficient and engaging travel experience.

[0420] The following describes the processing flow.

[0421] Step 1:

[0422] The user enters the destination into the device. The device retrieves the destination information using the touchscreen or voice input function.

[0423] Step 2:

[0424] The device uses its built-in GNSS module to obtain its current location information. This information includes latitude and longitude data.

[0425] Step 3:

[0426] The device sends the acquired current location information and the destination entered by the user to the server. Communication is conducted using a secure protocol.

[0427] Step 4:

[0428] The server calculates the optimal travel route based on the received destination and current location information, referencing real-time traffic data. Specifically, it uses Dijkstra's Algorithm or A Algorithm for the calculation.

[0429] Step 5:

[0430] The server retrieves the user's past activity history and interests from a database and selects interesting information along the user's route. This information may include tourist attractions and historical background.

[0431] Step 6:

[0432] The server sends the calculated optimal travel route and selected information to the terminal. The information is sent in digital format and formatted so that it can be displayed correctly on the terminal.

[0433] Step 7:

[0434] The device displays the optimal route and interesting information received by the user. It shows the route on a map screen and provides interesting information via voice guidance as needed.

[0435] Step 8:

[0436] The device periodically communicates with the server to obtain the latest traffic conditions and updates the travel route in real time. If notification is necessary to the user, it will display the changed route and provide an audio explanation.

[0437] This series of steps allows users to experience efficient and engaging travel.

[0438] (Example 1)

[0439] 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."

[0440] Conventional car navigation systems simply provide route guidance from the starting point to the destination, lacking real-time updates such as traffic information and personalized information suggestions tailored to individual user interests. As a result, the travel experience is monotonous, and there are problems with efficient route selection and the provision of engaging information.

[0441] 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.

[0442] In this invention, the server includes means for obtaining origin and destination data from the user, means for obtaining current location data, means for calculating the optimal travel route based on the data obtained from the user and the obtained current location data, and means for obtaining the latest traffic conditions and updating the travel route in real time. This makes it possible to provide the user with an efficient and interesting travel experience.

[0443] The "starting point" refers to the point designated by the user as the point from which they begin their journey.

[0444] "Destination" refers to the point that the user is aiming to reach.

[0445] "Data" refers to a collection of information used in a computer system, including location information and user input information.

[0446] "User" refers to a person who uses the system, specifically the person who operates the car navigation system.

[0447] "Location data" refers to information indicating the current geographical location, and includes coordinate information obtained from GNSS modules, etc.

[0448] "Calculation" refers to the act of using given data to determine the optimal travel route.

[0449] "Route" refers to the path or route from the starting point to the destination.

[0450] "Real-time" refers to information or processing being performed immediately, reflecting the current situation.

[0451] "Updating" refers to replacing existing information with new information.

[0452] A "server" refers to a computer system used for data processing and calculations, handling requests from multiple terminals.

[0453] One embodiment of this invention begins with the user inputting information about their starting and ending points using a terminal. The terminal is equipped with a GNSS module, which is used to acquire current location data. The information entered by the user is transmitted to a server via the terminal. When the server calculates a travel route based on this information, it queries a traffic database and takes into account real-time traffic conditions, congestion information, road construction information, weather information, etc.

[0454] The server also selects interesting points of interest and related information around the optimal route based on the user's past behavior history and interest data. For example, it uses databases of tourist destinations and historical sites to find spots that the user might be interested in.

[0455] These processes are performed by a computer program on the server, and as a result, the optimal travel route and related information are sent to the terminal. Based on the received information, the terminal displays the route on a map screen and provides instructions through voice guidance. This allows the user to reach their destination comfortably and efficiently.

[0456] For example, when a user is traveling from a major city to a popular tourist destination, if local roads are congested, the system can quickly guide them to an alternative highway route and provide information about points of interest along the route, making the journey more enjoyable.

[0457] An example of a prompt to be input into the generating AI model is: "Describe a car navigation system that calculates the optimal travel route from real-time traffic data based on the destination and departure point specified by the user, and provides information on historical landmarks as points of interest." In this way, the invention provides a more meaningful travel experience for the user than conventional route guidance.

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

[0459] Step 1:

[0460] The user enters their departure and arrival points using the terminal. At this point, the terminal obtains the current location information using a GNSS module, in addition to the entered departure and destination points. This information becomes the input data to be sent to the server.

[0461] Step 2:

[0462] The server receives data from the terminal, including the departure point, destination, and current location, as input. The server then accesses a real-time traffic database and calculates the optimal travel route, taking into account information such as traffic congestion, road construction, and weather. The calculated optimal travel route is then output.

[0463] Step 3:

[0464] Based on the results of the optimal route calculation, the server uses the user's past behavior history and interest data to select spots around the route that the user is likely to be interested in. It accesses a database of spots and extracts information on the relevant locations. This process outputs information on spots of interest.

[0465] Step 4:

[0466] The server combines the calculated optimal travel route with selected points of interest information and transmits it to the terminal. This information is output as all the data necessary for route guidance.

[0467] Step 5:

[0468] The terminal provides visual and audio navigation to the user, displaying a map based on the travel route and interest point information received from the server. Because the map display software plots the route and the audio guidance module provides navigation, the user can reach their destination efficiently and engagingly. This output represents the final result for the user.

[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 autonomous vehicles, there is a lack of means to provide information that enriches the passenger experience while offering safe and efficient route guidance. To address this challenge, there is a need for a system that optimizes travel routes and provides interesting information using augmented reality technology.

[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 means for inputting information on the starting and ending points, means for measuring location information, and means for calculating the optimal route based on the input information and location information. This makes it possible to provide interesting information using augmented reality technology while providing safe and efficient route guidance.

[0474] The "starting point" is information that indicates the initial geographical location where the user begins their journey.

[0475] "Destination" refers to information indicating the final geographical location where the user completes their journey and reaches their destination.

[0476] "Location information" refers to data that indicates the current geographical coordinates and is fundamental information used to calculate travel routes.

[0477] A "route" is the path that represents the optimal process of travel from a starting point to an ending point.

[0478] "Traffic data" refers to the latest information on road congestion and traffic events. This enables real-time route adjustments.

[0479] Augmented reality technology is a technology that overlays digital information onto information from the real world.

[0480] A "server" is an electronic device that processes location information and user requests, and provides calculation results and related information.

[0481] "Means of providing information" refers to means of communication and display for conveying routes and interesting information to users.

[0482] The system for carrying out this invention consists of a user terminal, location measurement hardware, and an information processing server. The user terminal has an interface for receiving input of a starting point and an ending point, and acquires current location information using a GNSS (Global Navigation Satellite System) module. A GNSS sensor built into a commonly used smartphone is suitable as the location measurement hardware.

[0483] When a user enters their starting and ending points into their device, that information is sent to a server. The server accesses a real-time traffic database based on the location information and calculates the optimal route, including road congestion and traffic events. This process uses algorithms that process traffic flow data, and also selects points of interest by referring to past behavioral history and interest databases.

[0484] The selected information is displayed on the user's device using augmented reality technology. This display is, for example, done through a head-mounted display, allowing the user to perceive the information superimposed on the real-world scenery. Commonly used for this display are AR development software libraries such as Unity, ARKit, and ARCore.

[0485] As a concrete example, when a user is traveling to tourist attractions within a city, the system suggests routes that avoid congestion while displaying historical background and cultural information using AR technology. By using a generative AI model, the system provides the user with the most relevant information along with prompts. An example of a prompt might be, "If the user is sightseeing in Tokyo, please explain the historical information of nearby landmarks."

[0486] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0487] Step 1:

[0488] The user inputs the starting and ending points using the terminal's interface. The terminal receives this input information and stores it in its internal data structure. Furthermore, it obtains the current location information using a GNSS module and treats this as data as well.

[0489] Step 2:

[0490] The device transmits the acquired starting point, ending point, and current location information to the server. The server accesses a traffic database based on this data and extracts the latest available traffic information. As part of the data processing, the location information and traffic information are compared in real time to calculate the optimal route.

[0491] Step 3:

[0492] Based on the calculated optimal route, the server refers to the user's past behavior history and interest database to list interesting points along the route. Using a generative AI model, it selects information that matches the user's interests, along with prompt messages. This output data also includes detailed information about each point.

[0493] Step 4:

[0494] The server formats the optimal route and listed points of interest for augmented reality display and sends them to the terminal. The terminal uses AR software such as Unity or ARKit to visualize the received information. Specifically, the information is displayed overlaid on the real-world scenery, and the user visually perceives this through a head-mounted display.

[0495] Step 5:

[0496] The user follows a route through visual and audio guidance provided by the device. The visualized information is updated sequentially according to the user's location along the route. If the user deviates from the route, the device requests a recalculation from the server and receives the updated route. This process enables real-time route guidance.

[0497] 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.

[0498] The car navigation system according to the present invention is a system that calculates the optimal travel route based on destination and departure information entered by the user, and can dynamically update the travel route to reflect real-time traffic conditions. This system has a function to select interesting information to provide during travel based on the user's past behavior history and interests, and is further characterized by recognizing the user's emotional state by combining it with an emotion engine, and customizing the information provided according to the user's emotions.

[0499] This system begins with the terminal receiving input from the user and measuring the current location using a GNSS module. The terminal sends this information to a server, which calculates the optimal route based on real-time traffic data. In doing so, it refers to past behavioral history and interest data to select information that is valuable to the user. The emotion engine analyzes sensor inputs such as the user's voice, facial expressions, and driving patterns to evaluate the user's emotional state.

[0500] For example, if a user is feeling stressed, the emotion engine might suggest relaxing music or provide information on interesting tourist spots. If it detects that the user is emotionally agitated, the system might adjust its instructions to simplify detailed directions, helping the user concentrate on driving.

[0501] In this way, the terminal displays the travel route based on information obtained from the server and provides voice and visual guidance. By incorporating real-time feedback based on the user's emotional information, a more personalized user experience can be provided, significantly improving the efficiency and comfort of driving. In this way, the present invention provides a practical and emotionally interactive travel companion.

[0502] The following describes the processing flow.

[0503] Step 1:

[0504] The user operates the device to enter a destination. The device retrieves this destination data and saves it to the interface.

[0505] Step 2:

[0506] The device uses a built-in GNSS module to determine its current location and acquire latitude and longitude data. This data is updated in real time.

[0507] Step 3:

[0508] The device sends destination and current location information to the server. The transmitted data is transferred via an encrypted, secure channel.

[0509] Step 4:

[0510] Based on the received data, the server calculates the optimal travel route while considering real-time traffic conditions. This calculation takes into account road congestion information and traffic accident data.

[0511] Step 5:

[0512] The server references the user's past behavior history and interests to search for interesting information along their travel route, including tourist attractions and local event information.

[0513] Step 6:

[0514] The device identifies the user's emotional state using an emotion engine. It evaluates the user's emotions based on voice tone analysis, facial recognition, and driving behavior analysis.

[0515] Step 7:

[0516] Based on the results of the emotion engine, the server adjusts the information provided according to the user's current emotional state. For example, it might select relaxing music or present interesting information.

[0517] Step 8:

[0518] The terminal displays the optimal travel route and customized information obtained from the server to the user. It shows the route on a map screen and provides guidance through voice and display.

[0519] Step 9:

[0520] The terminal periodically sends real-time update requests to the server, dynamically updating route information in response to traffic conditions and changes in user sentiment. If user notification is necessary, the changes are displayed and explained via voice guidance.

[0521] This series of steps ensures that users can always enjoy a comfortable and efficient driving experience with up-to-date route information and customized content.

[0522] (Example 2)

[0523] 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."

[0524] Conventional car navigation systems simply display the optimal route, lacking personalized information tailored to the user's individual emotional state, past behavioral history, and interests. As a result, they struggled to provide users with sufficient driving comfort and a personalized experience. In addition, the limited real-time updating of routes in response to traffic conditions meant that appropriate navigation could not be provided in response to changing traffic conditions.

[0525] 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.

[0526] In this invention, the server includes means for receiving origin and destination data from the user, a module for measuring current location information, and a function for analyzing the user's emotional state and customizing the information provided according to the user's emotions. This makes it possible to provide personalized information according to the individual emotional state of the user, thereby improving the comfort and efficiency of driving.

[0527] "Departure and destination data" refers to information about the starting point and destination of the journey as set by the user.

[0528] A "module for measuring current location information" is a device that uses GNSS or other location acquisition technologies to determine the user's current geographical location.

[0529] A "device for calculating the optimal travel route" is a device that calculates the shortest or most efficient route based on the user's origin, destination, and current location, by referring to traffic information and map data.

[0530] "Means for providing data on travel routes" refers to an interface or means for presenting users with detailed information about the calculated travel route.

[0531] The "function to acquire the latest traffic conditions and update the travel route in real time" refers to the ability to incorporate real-time changing traffic information and dynamically modify the travel route as needed.

[0532] The "function for analyzing emotional state" is a technology that uses data such as voice, facial expressions, and behavioral patterns to recognize and evaluate the user's emotional state.

[0533] "Customization capabilities" refer to the ability to adjust output information and service content according to specific conditions or requirements.

[0534] The "function to select information based on past behavioral history and interests" refers to the ability to analyze data related to a user's past activities and interests to identify useful or interesting information.

[0535] "Display and guidance devices" refer to hardware and software that convey information to users visually or audibly.

[0536] This invention provides specific means for functioning as a car navigation system. Operation begins when the user inputs origin and destination data into a terminal. This input utilizes a touchscreen display or voice recognition software. The terminal also measures its current location in real time using a GNSS module and transmits this information to a server. The server calculates the optimal travel route based on the location information and current traffic conditions. Traffic information is obtained using an API, and the route is planned by referring to a map database.

[0537] Furthermore, the server analyzes the user's past behavioral history and interest data to select interesting information. At this time, a generative AI model is used to personalize the user's data and edit information based on their interests. The user's emotional state is analyzed by the server's emotion engine based on data obtained through the device's built-in camera and microphone. This enables the provision of information tailored to the user's current emotions, suggesting music that promotes relaxation and information on interesting tourist spots.

[0538] As a practical example, if a user is planning a drive to relieve work stress, the device can assess the user's stress level and suggest a calming music playlist. It can also incorporate nearby parks and relaxation spots into the route. This kind of personalized information makes driving more comfortable and safer.

[0539] A concrete example of a prompt message is, "Please select music that promotes relaxation based on the user's current emotional state." This enables the provision of appropriate information tailored to the user's emotions.

[0540] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0541] Step 1:

[0542] The user inputs origin and destination data through the terminal's interface. The terminal receives this as input data and then uses a GNSS module to determine the current geographical location. The output of this step is a set of information about the origin, destination, and current location.

[0543] Step 2:

[0544] The terminal sends its measured current location information and user input data to the server. The server receives this data and retrieves real-time traffic information from its database. Based on this, the server calculates the optimal route and outputs the result. The travel route obtained from this calculation becomes the input for the next step.

[0545] Step 3:

[0546] The server references the user's past behavior history and interest database to select information that will interest the user along their travel path. Using a generative AI model, it analyzes information relevant to the user's specific interests and generates personalized information. This output is a personalized set of information, forming the next feedback cycle.

[0547] Step 4:

[0548] The device analyzes the user's voice and facial expressions using data from the camera and microphone. This data is sent to a server, where an emotion engine analyzes it to evaluate the user's emotional state. Based on this, the server adjusts the way information is provided and returns the result to the device. The output of this evaluation is information that is appropriate for the user.

[0549] Step 5:

[0550] The device visually and audibly presents the user with calculated routes, personalized information, and adjusted content based on their emotional state. The route is displayed on the screen, and navigation instructions and selected music are provided through the speaker. The output of this step enriches the user's navigation experience.

[0551] By following these steps, users can experience efficient and personalized navigation.

[0552] (Application Example 2)

[0553] 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."

[0554] In autonomous vehicles, there is a need to provide a more comfortable and personalized travel experience by integrating real-time traffic information with the emotional state of the user. Conventional navigation systems have the challenge of not being able to reduce stress and discomfort during travel because they have difficulty providing adaptive information that responds to the user's psychological state.

[0555] 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.

[0556] In this invention, the server includes means for receiving origin and destination information from the user, means for measuring current location information, means for calculating the optimal travel route based on the information received from the user and the measured current location information, means for providing information about the travel route based on the calculated optimal travel route, means for acquiring the latest traffic conditions and updating the travel route in real time, and means for analyzing the user's emotional state and adjusting the information provided based on that. This makes it possible to provide customized information and guidance on the optimal route according to the user's emotional state.

[0557] "Information about the starting point and destination" refers to data about the location from which the user begins their journey and the location they are aiming for.

[0558] "Means of receiving information from users" refers to the interfaces and processes used to obtain information provided by users.

[0559] "Current location information" refers to coordinate data that indicates the actual geographical location of the user or vehicle.

[0560] "Means for calculating the optimal travel route" refers to a process or device that calculates the most efficient or fastest route based on the origin, destination, current location, and traffic information.

[0561] "Means of providing information regarding travel routes" refers to means of informing users of their calculated travel routes, and includes formats such as audio and visual displays.

[0562] "Means of obtaining the latest traffic conditions" refers to a process or device for accessing and obtaining current road and traffic conditions in real time.

[0563] "Means of updating in real time" refers to a process or function that immediately adjusts the travel route using the latest acquired information.

[0564] "Means for analyzing a user's emotional state" refers to the process of using sensors or algorithms to measure and identify a user's psychological state.

[0565] "Means of adjusting the information provided" refers to processes or functions for modifying or changing the information presented according to the user's situation and emotions.

[0566] This invention is an autonomous vehicle assistance system designed to provide users with a comfortable and personalized travel experience. The system consists of multiple components that provide information on the user's origin and destination, calculate and update the optimal route, and customize the information based on their emotional state.

[0567] The server first receives origin and destination information from the user and measures the user's current location using a GNSS module. Based on the received information and the measured current location, the server calculates the optimal travel route. Real-time traffic information is also incorporated into the calculation, and emotion recognition algorithms such as OpenCV and DeepFace are used to analyze the user's emotional state. Based on this, the server adjusts the information provided and recommends music, tourist spots, etc., as needed.

[0568] The terminal uses this calculated data to provide users with visual and audio guidance and offers a platform for selecting information based on the user's past behavioral history and interests. Furthermore, it can improve efficiency by obtaining the latest traffic conditions via data communication and updating travel routes in real time.

[0569] For example, if a passenger decides they want to have lunch during a long-distance journey, the system can analyze their emotional state to determine if they are seeking relaxation and then suggest a nearby, highly-rated restaurant. Furthermore, if a passenger is feeling stressed during traffic, the system can select relaxing music for them.

[0570] An example of a prompt for a generative AI model is: "Design a navigation system that recognizes the user's emotional state and suggests relaxation music to reduce stress."

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

[0572] Step 1:

[0573] The terminal receives origin and destination information from the user. The input is the location information selected by the user, which is accepted by the system and used in the next step. The output is the coordinate data of the origin and destination.

[0574] Step 2:

[0575] The server uses a GNSS module to determine its current location. The input for this step is the signal from the GNSS device, and the server calculates the current latitude and longitude as data calculations, providing accurate current location data as output.

[0576] Step 3:

[0577] The server calculates the optimal travel route based on the received origin and destination information and the current location. The input consists of this location information and data from a real-time traffic information API. As part of the data processing, it performs integrated calculations to generate the optimal route as output.

[0578] Step 4:

[0579] The server uses OpenCV and DeepFace to analyze the user's emotional state. Input comes from sensors such as cameras and microphones, which are used for facial recognition and voice analysis, and the server outputs a determination of the user's emotional state.

[0580] Step 5:

[0581] The server adjusts the information provided based on the emotional state. The input is the emotional data obtained in step 4, and as a data calculation, it selects music and tourist spot information accordingly, and the output is the adjusted information.

[0582] Step 6:

[0583] The terminal guides the user with this data visually and audibly. The input consists of the adjustment information obtained in step 5 and the optimal path in step 3, which the system uses to provide audio and visual feedback, and the output is user-friendly guidance.

[0584] Step 7:

[0585] The server obtains the latest traffic conditions via data communication and updates the travel route in real time. The input is data from an external traffic information API, the route information is recalculated as a data operation, and the updated route guidance is generated as output.

[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). An 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] The car navigation system according to the present invention can calculate the optimal travel route based on destination and departure point information entered by the user, and adjust the route to reflect real-time traffic conditions. Furthermore, the information provided to the user includes not only route guidance, but also interesting information to enhance the enjoyment of travel.

[0604] The following describes the program's processing in natural language.

[0605] The user enters their destination using the car navigation terminal. This information is processed by the terminal and sent to the server along with the current location information obtained by the GNSS module. The server uses this data to refer to a real-time traffic database and calculates the optimal travel route. This calculation takes into account factors such as traffic congestion, road construction information, and weather information.

[0606] Furthermore, the server uses the user's past behavioral history and interest data to select spots and related information that are likely to interest the user along the optimal route. This information includes, for example, trivia about historical sites and tourist attractions that the user will pass through during their journey. This selected information is then sent to the device along with the optimized travel route.

[0607] Based on the data it receives, the device provides visual and audio guidance to the user. Recommended routes are displayed on the map, and interesting information is notified at appropriate times without distracting the driver.

[0608] For example, when driving from central London to Stonehenge, the system will suggest a recommended highway route if the regular roads are congested. It also makes the journey more enjoyable by providing audio commentary on the historical background of Windsor Castle, which you'll pass along the way.

[0609] In this way, the car navigation system of the present invention not only provides route guidance, but also offers real-time traffic information and information tailored to the user's interests, thereby providing an efficient and engaging travel experience.

[0610] The following describes the processing flow.

[0611] Step 1:

[0612] The user enters the destination into the device. The device retrieves the destination information using the touchscreen or voice input function.

[0613] Step 2:

[0614] The device uses its built-in GNSS module to obtain its current location information. This information includes latitude and longitude data.

[0615] Step 3:

[0616] The device sends the acquired current location information and the destination entered by the user to the server. Communication is conducted using a secure protocol.

[0617] Step 4:

[0618] The server calculates the optimal travel route based on the received destination and current location information, referencing real-time traffic data. Specifically, it uses Dijkstra's Algorithm or A Algorithm for the calculation.

[0619] Step 5:

[0620] The server retrieves the user's past activity history and interests from a database and selects interesting information along the user's route. This information may include tourist attractions and historical background.

[0621] Step 6:

[0622] The server sends the calculated optimal travel route and selected information to the terminal. The information is sent in digital format and formatted so that it can be displayed correctly on the terminal.

[0623] Step 7:

[0624] The device displays the optimal route and interesting information received by the user. It shows the route on a map screen and provides interesting information via voice guidance as needed.

[0625] Step 8:

[0626] The device periodically communicates with the server to obtain the latest traffic conditions and updates the travel route in real time. If notification is necessary to the user, it will display the changed route and provide an audio explanation.

[0627] This series of steps allows users to experience efficient and engaging travel.

[0628] (Example 1)

[0629] 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".

[0630] Conventional car navigation systems simply provide route guidance from the starting point to the destination, lacking real-time updates such as traffic information and personalized information suggestions tailored to individual user interests. As a result, the travel experience is monotonous, and there are problems with efficient route selection and the provision of engaging information.

[0631] 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.

[0632] In this invention, the server includes means for obtaining origin and destination data from the user, means for obtaining current location data, means for calculating the optimal travel route based on the data obtained from the user and the obtained current location data, and means for obtaining the latest traffic conditions and updating the travel route in real time. This makes it possible to provide the user with an efficient and interesting travel experience.

[0633] The "starting point" refers to the point designated by the user as the point from which they begin their journey.

[0634] "Destination" refers to the point that the user is aiming to reach.

[0635] "Data" refers to a collection of information used in a computer system, including location information and user input information.

[0636] "User" refers to a person who uses the system, specifically the person who operates the car navigation system.

[0637] "Location data" refers to information indicating the current geographical location, and includes coordinate information obtained from GNSS modules, etc.

[0638] "Calculation" refers to the act of using given data to determine the optimal travel route.

[0639] "Route" refers to the path or route from the starting point to the destination.

[0640] "Real-time" refers to information or processing being performed immediately, reflecting the current situation.

[0641] "Updating" refers to replacing existing information with new information.

[0642] A "server" refers to a computer system used for data processing and calculations, handling requests from multiple terminals.

[0643] One embodiment of this invention begins with the user inputting information about their starting and ending points using a terminal. The terminal is equipped with a GNSS module, which is used to acquire current location data. The information entered by the user is transmitted to a server via the terminal. When the server calculates a travel route based on this information, it queries a traffic database and takes into account real-time traffic conditions, congestion information, road construction information, weather information, etc.

[0644] The server also selects interesting points of interest and related information around the optimal route based on the user's past behavior history and interest data. For example, it uses databases of tourist destinations and historical sites to find spots that the user might be interested in.

[0645] These processes are performed by a computer program on the server, and as a result, the optimal travel route and related information are sent to the terminal. Based on the received information, the terminal displays the route on a map screen and provides instructions through voice guidance. This allows the user to reach their destination comfortably and efficiently.

[0646] For example, when a user is traveling from a major city to a popular tourist destination, if local roads are congested, the system can quickly guide them to an alternative highway route and provide information about points of interest along the route, making the journey more enjoyable.

[0647] An example of a prompt to be input into the generating AI model is: "Describe a car navigation system that calculates the optimal travel route from real-time traffic data based on the destination and departure point specified by the user, and provides information on historical landmarks as points of interest." In this way, the invention provides a more meaningful travel experience for the user than conventional route guidance.

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

[0649] Step 1:

[0650] The user enters their departure and arrival points using the terminal. At this point, the terminal obtains the current location information using a GNSS module, in addition to the entered departure and destination points. This information becomes the input data to be sent to the server.

[0651] Step 2:

[0652] The server receives data from the terminal, including the departure point, destination, and current location, as input. The server then accesses a real-time traffic database and calculates the optimal travel route, taking into account information such as traffic congestion, road construction, and weather. The calculated optimal travel route is then output.

[0653] Step 3:

[0654] Based on the results of the optimal route calculation, the server uses the user's past behavior history and interest data to select spots around the route that the user is likely to be interested in. It accesses a database of spots and extracts information on the relevant locations. This process outputs information on spots of interest.

[0655] Step 4:

[0656] The server combines the calculated optimal travel route with selected points of interest information and transmits it to the terminal. This information is output as all the data necessary for route guidance.

[0657] Step 5:

[0658] The terminal provides visual and audio navigation to the user, displaying a map based on the travel route and interest point information received from the server. Because the map display software plots the route and the audio guidance module provides navigation, the user can reach their destination efficiently and engagingly. This output represents the final result for the user.

[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 autonomous vehicles, there is a lack of means to provide information that enriches the passenger experience while offering safe and efficient route guidance. To address this challenge, there is a need for a system that optimizes travel routes and provides interesting information using augmented reality technology.

[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 means for inputting information on the starting and ending points, means for measuring location information, and means for calculating the optimal route based on the input information and location information. This makes it possible to provide interesting information using augmented reality technology while providing safe and efficient route guidance.

[0664] The "starting point" is information that indicates the initial geographical location where the user begins their journey.

[0665] "Destination" refers to information indicating the final geographical location where the user completes their journey and reaches their destination.

[0666] "Location information" refers to data that indicates the current geographical coordinates and is fundamental information used to calculate travel routes.

[0667] A "route" is the path that represents the optimal process of travel from a starting point to an ending point.

[0668] "Traffic data" refers to the latest information on road congestion and traffic events. This enables real-time route adjustments.

[0669] Augmented reality technology is a technology that overlays digital information onto information from the real world.

[0670] A "server" is an electronic device that processes location information and user requests, and provides calculation results and related information.

[0671] "Means of providing information" refers to means of communication and display for conveying routes and interesting information to users.

[0672] The system for carrying out this invention consists of a user terminal, location measurement hardware, and an information processing server. The user terminal has an interface for receiving input of a starting point and an ending point, and acquires current location information using a GNSS (Global Navigation Satellite System) module. A GNSS sensor built into a commonly used smartphone is suitable as the location measurement hardware.

[0673] When a user enters their starting and ending points into their device, that information is sent to a server. The server accesses a real-time traffic database based on the location information and calculates the optimal route, including road congestion and traffic events. This process uses algorithms that process traffic flow data, and also selects points of interest by referring to past behavioral history and interest databases.

[0674] The selected information is displayed on the user's device using augmented reality technology. This display is, for example, done through a head-mounted display, allowing the user to perceive the information superimposed on the real-world scenery. Commonly used for this display are AR development software libraries such as Unity, ARKit, and ARCore.

[0675] As a concrete example, when a user is traveling to tourist attractions within a city, the system suggests routes that avoid congestion while displaying historical background and cultural information using AR technology. By using a generative AI model, the system provides the user with the most relevant information along with prompts. An example of a prompt might be, "If the user is sightseeing in Tokyo, please explain the historical information of nearby landmarks."

[0676] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0677] Step 1:

[0678] The user inputs the starting and ending points using the terminal's interface. The terminal receives this input information and stores it in its internal data structure. Furthermore, it obtains the current location information using a GNSS module and treats this as data as well.

[0679] Step 2:

[0680] The device transmits the acquired starting point, ending point, and current location information to the server. The server accesses a traffic database based on this data and extracts the latest available traffic information. As part of the data processing, the location information and traffic information are compared in real time to calculate the optimal route.

[0681] Step 3:

[0682] Based on the calculated optimal route, the server refers to the user's past behavior history and interest database to list interesting points along the route. Using a generative AI model, it selects information that matches the user's interests, along with prompt messages. This output data also includes detailed information about each point.

[0683] Step 4:

[0684] The server formats the optimal route and listed points of interest for augmented reality display and sends them to the terminal. The terminal uses AR software such as Unity or ARKit to visualize the received information. Specifically, the information is displayed overlaid on the real-world scenery, and the user visually perceives this through a head-mounted display.

[0685] Step 5:

[0686] The user follows a route through visual and audio guidance provided by the device. The visualized information is updated sequentially according to the user's location along the route. If the user deviates from the route, the device requests a recalculation from the server and receives the updated route. This process enables real-time route guidance.

[0687] 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.

[0688] The car navigation system according to the present invention is a system that calculates the optimal travel route based on destination and departure information entered by the user, and can dynamically update the travel route to reflect real-time traffic conditions. This system has a function to select interesting information to provide during travel based on the user's past behavior history and interests, and is further characterized by recognizing the user's emotional state by combining it with an emotion engine, and customizing the information provided according to the user's emotions.

[0689] This system begins with the terminal receiving input from the user and measuring the current location using a GNSS module. The terminal sends this information to a server, which calculates the optimal route based on real-time traffic data. In doing so, it refers to past behavioral history and interest data to select information that is valuable to the user. The emotion engine analyzes sensor inputs such as the user's voice, facial expressions, and driving patterns to evaluate the user's emotional state.

[0690] For example, if a user is feeling stressed, the emotion engine might suggest relaxing music or provide information on interesting tourist spots. If it detects that the user is emotionally agitated, the system might adjust its instructions to simplify detailed directions, helping the user concentrate on driving.

[0691] In this way, the terminal displays the travel route based on information obtained from the server and provides voice and visual guidance. By incorporating real-time feedback based on the user's emotional information, a more personalized user experience can be provided, significantly improving the efficiency and comfort of driving. In this way, the present invention provides a practical and emotionally interactive travel companion.

[0692] The following describes the processing flow.

[0693] Step 1:

[0694] The user operates the device to enter a destination. The device retrieves this destination data and saves it to the interface.

[0695] Step 2:

[0696] The device uses a built-in GNSS module to determine its current location and acquire latitude and longitude data. This data is updated in real time.

[0697] Step 3:

[0698] The device sends destination and current location information to the server. The transmitted data is transferred via an encrypted, secure channel.

[0699] Step 4:

[0700] Based on the received data, the server calculates the optimal travel route while considering real-time traffic conditions. This calculation takes into account road congestion information and traffic accident data.

[0701] Step 5:

[0702] The server references the user's past behavior history and interests to search for interesting information along their travel route, including tourist attractions and local event information.

[0703] Step 6:

[0704] The device identifies the user's emotional state using an emotion engine. It evaluates the user's emotions based on voice tone analysis, facial recognition, and driving behavior analysis.

[0705] Step 7:

[0706] Based on the results of the emotion engine, the server adjusts the information provided according to the user's current emotional state. For example, it might select relaxing music or present interesting information.

[0707] Step 8:

[0708] The terminal displays the optimal travel route and customized information obtained from the server to the user. It shows the route on a map screen and provides guidance through voice and display.

[0709] Step 9:

[0710] The terminal periodically sends real-time update requests to the server, dynamically updating route information in response to traffic conditions and changes in user sentiment. If user notification is necessary, the changes are displayed and explained via voice guidance.

[0711] This series of steps ensures that users can always enjoy a comfortable and efficient driving experience with up-to-date route information and customized content.

[0712] (Example 2)

[0713] 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".

[0714] Conventional car navigation systems simply display the optimal route, lacking personalized information tailored to the user's individual emotional state, past behavioral history, and interests. As a result, they struggled to provide users with sufficient driving comfort and a personalized experience. In addition, the limited real-time updating of routes in response to traffic conditions meant that appropriate navigation could not be provided in response to changing traffic conditions.

[0715] 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.

[0716] In this invention, the server includes means for receiving origin and destination data from the user, a module for measuring current location information, and a function for analyzing the user's emotional state and customizing the information provided according to the user's emotions. This makes it possible to provide personalized information according to the individual emotional state of the user, thereby improving the comfort and efficiency of driving.

[0717] "Departure and destination data" refers to information about the starting point and destination of the journey as set by the user.

[0718] A "module for measuring current location information" is a device that uses GNSS or other location acquisition technologies to determine the user's current geographical location.

[0719] A "device for calculating the optimal travel route" is a device that calculates the shortest or most efficient route based on the user's origin, destination, and current location, by referring to traffic information and map data.

[0720] "Means for providing data on travel routes" refers to an interface or means for presenting users with detailed information about the calculated travel route.

[0721] The "function to acquire the latest traffic conditions and update the travel route in real time" refers to the ability to incorporate real-time changing traffic information and dynamically modify the travel route as needed.

[0722] The "function for analyzing emotional state" is a technology that uses data such as voice, facial expressions, and behavioral patterns to recognize and evaluate the user's emotional state.

[0723] "Customization capabilities" refer to the ability to adjust output information and service content according to specific conditions or requirements.

[0724] The "function to select information based on past behavioral history and interests" refers to the ability to analyze data related to a user's past activities and interests to identify useful or interesting information.

[0725] "Display and guidance devices" refer to hardware and software that convey information to users visually or audibly.

[0726] This invention provides specific means for functioning as a car navigation system. Operation begins when the user inputs origin and destination data into a terminal. This input utilizes a touchscreen display or voice recognition software. The terminal also measures its current location in real time using a GNSS module and transmits this information to a server. The server calculates the optimal travel route based on the location information and current traffic conditions. Traffic information is obtained using an API, and the route is planned by referring to a map database.

[0727] Furthermore, the server analyzes the user's past behavioral history and interest data to select interesting information. At this time, a generative AI model is used to personalize the user's data and edit information based on their interests. The user's emotional state is analyzed by the server's emotion engine based on data obtained through the device's built-in camera and microphone. This enables the provision of information tailored to the user's current emotions, suggesting music that promotes relaxation and information on interesting tourist spots.

[0728] As a practical example, if a user is planning a drive to relieve work stress, the device can assess the user's stress level and suggest a calming music playlist. It can also incorporate nearby parks and relaxation spots into the route. This kind of personalized information makes driving more comfortable and safer.

[0729] A concrete example of a prompt message is, "Please select music that promotes relaxation based on the user's current emotional state." This enables the provision of appropriate information tailored to the user's emotions.

[0730] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0731] Step 1:

[0732] The user inputs origin and destination data through the terminal's interface. The terminal receives this as input data and then uses a GNSS module to determine the current geographical location. The output of this step is a set of information about the origin, destination, and current location.

[0733] Step 2:

[0734] The terminal sends its measured current location information and user input data to the server. The server receives this data and retrieves real-time traffic information from its database. Based on this, the server calculates the optimal route and outputs the result. The travel route obtained from this calculation becomes the input for the next step.

[0735] Step 3:

[0736] The server references the user's past behavior history and interest database to select information that will interest the user along their travel path. Using a generative AI model, it analyzes information relevant to the user's specific interests and generates personalized information. This output is a personalized set of information, forming the next feedback cycle.

[0737] Step 4:

[0738] The device analyzes the user's voice and facial expressions using data from the camera and microphone. This data is sent to a server, where an emotion engine analyzes it to evaluate the user's emotional state. Based on this, the server adjusts the way information is provided and returns the result to the device. The output of this evaluation is information that is appropriate for the user.

[0739] Step 5:

[0740] The device visually and audibly presents the user with calculated routes, personalized information, and adjusted content based on their emotional state. The route is displayed on the screen, and navigation instructions and selected music are provided through the speaker. The output of this step enriches the user's navigation experience.

[0741] By following these steps, users can experience efficient and personalized navigation.

[0742] (Application Example 2)

[0743] 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".

[0744] In autonomous vehicles, there is a need to provide a more comfortable and personalized travel experience by integrating real-time traffic information with the emotional state of the user. Conventional navigation systems have the challenge of not being able to reduce stress and discomfort during travel because they have difficulty providing adaptive information that responds to the user's psychological state.

[0745] 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.

[0746] In this invention, the server includes means for receiving origin and destination information from the user, means for measuring current location information, means for calculating the optimal travel route based on the information received from the user and the measured current location information, means for providing information about the travel route based on the calculated optimal travel route, means for acquiring the latest traffic conditions and updating the travel route in real time, and means for analyzing the user's emotional state and adjusting the information provided based on that. This makes it possible to provide customized information and guidance on the optimal route according to the user's emotional state.

[0747] "Information about the starting point and destination" refers to data about the location from which the user begins their journey and the location they are aiming for.

[0748] "Means of receiving information from users" refers to the interfaces and processes used to obtain information provided by users.

[0749] "Current location information" refers to coordinate data that indicates the actual geographical location of the user or vehicle.

[0750] "Means for calculating the optimal travel route" refers to a process or device that calculates the most efficient or fastest route based on the origin, destination, current location, and traffic information.

[0751] "Means of providing information regarding travel routes" refers to means of informing users of their calculated travel routes, and includes formats such as audio and visual displays.

[0752] "Means of obtaining the latest traffic conditions" refers to a process or device for accessing and obtaining current road and traffic conditions in real time.

[0753] "Means of updating in real time" refers to a process or function that immediately adjusts the travel route using the latest acquired information.

[0754] "Means for analyzing a user's emotional state" refers to the process of using sensors or algorithms to measure and identify a user's psychological state.

[0755] "Means of adjusting the information provided" refers to processes or functions for modifying or changing the information presented according to the user's situation and emotions.

[0756] This invention is an autonomous vehicle assistance system designed to provide users with a comfortable and personalized travel experience. The system consists of multiple components that provide information on the user's origin and destination, calculate and update the optimal route, and customize the information based on their emotional state.

[0757] The server first receives origin and destination information from the user and measures the user's current location using a GNSS module. Based on the received information and the measured current location, the server calculates the optimal travel route. Real-time traffic information is also incorporated into the calculation, and emotion recognition algorithms such as OpenCV and DeepFace are used to analyze the user's emotional state. Based on this, the server adjusts the information provided and recommends music, tourist spots, etc., as needed.

[0758] The terminal uses this calculated data to provide users with visual and audio guidance and offers a platform for selecting information based on the user's past behavioral history and interests. Furthermore, it can improve efficiency by obtaining the latest traffic conditions via data communication and updating travel routes in real time.

[0759] For example, if a passenger decides they want to have lunch during a long-distance journey, the system can analyze their emotional state to determine if they are seeking relaxation and then suggest a nearby, highly-rated restaurant. Furthermore, if a passenger is feeling stressed during traffic, the system can select relaxing music for them.

[0760] An example of a prompt for a generative AI model is: "Design a navigation system that recognizes the user's emotional state and suggests relaxation music to reduce stress."

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

[0762] Step 1:

[0763] The terminal receives origin and destination information from the user. The input is the location information selected by the user, which is accepted by the system and used in the next step. The output is the coordinate data of the origin and destination.

[0764] Step 2:

[0765] The server uses a GNSS module to determine its current location. The input for this step is the signal from the GNSS device, and the server calculates the current latitude and longitude as data calculations, providing accurate current location data as output.

[0766] Step 3:

[0767] The server calculates the optimal travel route based on the received origin and destination information and the current location. The input consists of this location information and data from a real-time traffic information API. As part of the data processing, it performs integrated calculations to generate the optimal route as output.

[0768] Step 4:

[0769] The server uses OpenCV and DeepFace to analyze the user's emotional state. Input comes from sensors such as cameras and microphones, which are used for facial recognition and voice analysis, and the server outputs a determination of the user's emotional state.

[0770] Step 5:

[0771] The server adjusts the information provided based on the emotional state. The input is the emotional data obtained in step 4, and as a data calculation, it selects music and tourist spot information accordingly, and the output is the adjusted information.

[0772] Step 6:

[0773] The terminal guides the user with this data visually and audibly. The input consists of the adjustment information obtained in step 5 and the optimal path in step 3, which the system uses to provide audio and visual feedback, and the output is user-friendly guidance.

[0774] Step 7:

[0775] The server obtains the latest traffic conditions via data communication and updates the travel route in real time. The input is data from an external traffic information API, the route information is recalculated as a data operation, and the updated route guidance is generated as output.

[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). An 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 for receiving information about the origin and destination from the user,

[0800] A means for measuring current location information,

[0801] A means for calculating the optimal travel route based on information received from the user and measured current location information,

[0802] Means for providing information about the travel path based on the calculated optimal travel path,

[0803] A means for obtaining the latest traffic conditions and updating the travel route in real time,

[0804] A system that includes this.

[0805] (Claim 2)

[0806] The system according to claim 1, further comprising means for selecting interesting information along a travel route based on the user's past behavioral history and interests.

[0807] (Claim 3)

[0808] The system according to claim 1, further comprising means for displaying and guiding a travel route and selected information.

[0809] "Example 1"

[0810] (Claim 1)

[0811] A means of obtaining data on the departure point and arrival point from the user,

[0812] A means of obtaining current location data,

[0813] A means for calculating the optimal travel route based on data obtained from the user and the obtained current location data,

[0814] A means for providing information about the calculated optimal travel route,

[0815] A means of obtaining the latest traffic conditions and updating the travel route in real time,

[0816] A system that includes this.

[0817] (Claim 2)

[0818] The system according to claim 1, further comprising means for selecting interesting information along a travel route based on the user's past behavioral history and interests.

[0819] (Claim 3)

[0820] The system according to claim 1, further comprising means for providing visual and auditory guidance on travel routes and selected information.

[0821] "Application Example 1"

[0822] (Claim 1)

[0823] Information about the starting point and ending point is provided as an input means,

[0824] Means for measuring location information,

[0825] A means for calculating the optimal route based on input information and location information,

[0826] Means for providing information about the route based on the calculated route,

[0827] A means of acquiring the latest traffic data and updating the route in real time,

[0828] A means of displaying information along a route using augmented reality technology,

[0829] A system that includes this.

[0830] (Claim 2)

[0831] The system according to claim 1, further comprising means for selecting interesting information along a route based on past behavioral history and interests.

[0832] (Claim 3)

[0833] The system according to claim 1, further comprising means for displaying and guiding users through a route and selected information.

[0834] "Example 2 of combining an emotion engine"

[0835] (Claim 1)

[0836] A means for receiving origin and destination data from the user,

[0837] A module that measures current location information,

[0838] A device that calculates the optimal travel route based on data received from the user and measured current location information,

[0839] Means for providing data related to the calculated optimal travel path,

[0840] A function to obtain the latest traffic conditions and update the travel route in real time,

[0841] A feature that analyzes the user's emotional state and customizes the information provided according to the user's emotions,

[0842] A system that includes this.

[0843] (Claim 2)

[0844] The system according to claim 1, further comprising a function for selecting interesting information along a travel route based on the user's past behavioral history and interests.

[0845] (Claim 3)

[0846] The system according to claim 1, further comprising a device for displaying and guiding movement routes and selected information.

[0847] "Application example 2 when combining with an emotional engine"

[0848] (Claim 1)

[0849] A means of receiving information about the origin and destination from the user,

[0850] A means for measuring current location information,

[0851] A means for calculating the optimal travel route based on information received from the user and measured current location information,

[0852] Means for providing information about the travel path based on the calculated optimal travel path,

[0853] A means for obtaining the latest traffic conditions and updating the travel route in real time,

[0854] A means for analyzing the emotional state of users and adjusting the information provided based on that analysis,

[0855] A system that includes this.

[0856] (Claim 2)

[0857] The system according to claim 1, further comprising means for selecting information of interest along a travel route based on the user's past behavioral history and interests.

[0858] (Claim 3)

[0859] The system according to claim 1, further comprising means for displaying and guiding users on travel routes and selected information, and means for integrating navigation and entertainment according to the user's emotional state. [Explanation of symbols]

[0860] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means for receiving information about the origin and destination from the user, A means for measuring current location information, A means for calculating the optimal travel route based on information received from the user and measured current location information, Means for providing information about the travel path based on the calculated optimal travel path, A means for obtaining the latest traffic conditions and updating the travel route in real time, A system that includes this.

2. The system according to claim 1, further comprising means for selecting interesting information along a travel route based on the user's past behavioral history and interests.

3. The system according to claim 1, further comprising means for displaying and guiding a travel route and selected information.

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