system

Abstract

We provide the system. [Solution] A measurement means for acquiring location information, Information gathering means for collecting external information via the internet, An information processing means that analyzes traffic conditions and tourist information to calculate the optimal route, A presentation means for providing calculation results and guidance information to the user, A means for generating tourist location guidance information for autonomous mobile machines, A system that includes this.

Description

Technical Field

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

Background Art

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In a conventional car navigation system, it has been difficult to immediately respond to real-time changing traffic situations and surrounding tourist information, making it difficult to achieve efficient driving. Also, due to the lack of flexible information provision tailored to users, an improvement in the satisfaction of the driving experience has been demanded.

Means for Solving the Problems

[0005] This invention solves these problems by providing a system that includes a measurement means for acquiring location information, an information gathering means for collecting external information using the internet, an information processing means for analyzing traffic conditions and tourist information to calculate the optimal route, and a presentation means for providing the calculation results and guidance information to the user. Furthermore, by incorporating a function to update the route in real time and a function to customize guidance information considering the user's past behavior history, the invention provides the user with an optimal driving experience.

[0006] "Measuring means for acquiring location information" refers to devices or systems that have the function of acquiring data measured in order to determine the current location of an object.

[0007] "Information gathering means for collecting external information via the Internet" refers to devices or systems that have the function of acquiring external data such as traffic information and tourism information via the Internet.

[0008] "Information processing means for analyzing traffic conditions and tourism information to calculate the optimal route" refers to a device or system that analyzes collected traffic and tourism-related data to calculate the most suitable driving route for the user.

[0009] "Presentation means for providing calculation results and guidance information to the user" refers to a device or system that has the function of providing calculated route information and other guidance information to the user visually or audibly.

[0010] A "means of updating routes in real time" refers to a device or system that has the function of instantly recalculating route information based on changes in traffic information and providing the user with the latest route.

[0011] "Means for customizing guidance information by considering the user's past behavioral history" refers to devices or systems that have the function of providing individually optimized guidance information based on the user's history data. [Brief explanation of the drawing]

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

[0013] 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.

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

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

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

[0017] In the following embodiments, the numbered storage is one or more non-volatile storage devices that store various programs 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.

[0018] 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).

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

[0020] [First Embodiment]

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

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

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

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

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

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

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

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

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

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

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

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

[0033] To implement this invention, a terminal mounted in a vehicle is used, along with a server connected via the internet. The terminal is equipped with a GPS module for acquiring location information, allowing the user's current location to be constantly determined. The server collects external information via the internet and uses it to calculate the optimal driving route.

[0034] Description of the system's programs and processes

[0035] The terminal receives destination information set by the user and sends it to the server along with the current location information. The server collects real-time traffic information and tourist information from multiple data sources on the internet. This allows it to understand traffic congestion, accident information, road construction status, and also obtain tourist and event information.

[0036] The server then uses the collected information to calculate the most efficient driving route for the user. This calculation takes into account factors such as distance, travel time, traffic conditions, and the enjoyment of sightseeing. Furthermore, it can refer to the user's past history data to individually customize the route and guidance information.

[0037] The terminal provides the user with the calculated optimal route and related information via voice guidance and a display. This allows the user to enjoy driving while being aware of the current route, traffic conditions, and tourist information in real time. If traffic conditions change while driving, the terminal receives the latest information from the server, immediately updates the route, and notifies the user.

[0038] Specific example

[0039] For example, if a user plans a drive from city A to city B, the device sends its current location in city A to the server, which then analyzes traffic conditions and event information along the route to city B. Upon departure from city A, the device suggests a calculated optimal route using public roads and also provides information on several tourist attractions the user can visit along the way. If traffic congestion occurs along the way, the device notifies the user of alternative routes to support smoother driving.

[0040] The following describes the processing flow.

[0041] Step 1:

[0042] The user enters their destination into the terminal. At this time, they can also set a departure point and intermediate stops as needed.

[0043] Step 2:

[0044] The terminal uses a GPS module to obtain the vehicle's current location and transmits it to the server along with the entered destination.

[0045] Step 3:

[0046] The server collects traffic information and tourist information for destinations and the routes between them from internet-based traffic information APIs and tourist information services.

[0047] Step 4:

[0048] The server analyzes the collected traffic information to check for congestion, traffic disruptions, accidents, and the impact of construction work.

[0049] Step 5:

[0050] The server considers past user behavior and general popularity information to extract data from the acquired tourist information that is likely to interest the user.

[0051] Step 6:

[0052] The server calculates the optimal driving route for the user based on all the collected data. The calculation takes into account factors such as distance, time, traffic conditions, and the enjoyment of sightseeing.

[0053] Step 7:

[0054] The server sends the calculated optimal route and related sightseeing and event information to the terminal.

[0055] Step 8:

[0056] The device provides the user with the calculated optimal route and surrounding information through voice and on-screen displays.

[0057] Step 9:

[0058] The device periodically updates its location information while in motion and communicates with a server to obtain new traffic information.

[0059] Step 10:

[0060] If the server recalculates the route based on new traffic information, the terminal will notify the user of the updated route information and continue the guidance.

[0061] (Example 1)

[0062] 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."

[0063] In modern driver assistance systems, it is difficult to accurately acquire real-time traffic and tourist information and provide optimal route guidance based on the user's past preferences. In particular, many existing systems are unable to adequately propose the most efficient and attractive route for the user in the midst of changing traffic conditions.

[0064] 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.

[0065] In this invention, the server includes measurement means for acquiring location information, information gathering means for collecting external information via the internet, and information processing means for analyzing traffic conditions and tourist information and calculating the optimal route using a generated AI model. This enables real-time optimal route guidance according to the user's destination setting.

[0066] "Location information" refers to data used to identify a geographical location, and typically includes information such as latitude and longitude.

[0067] "Measurement means" refers to the equipment and technology necessary to acquire location information, and includes GPS modules, etc.

[0068] "Information gathering means" refers to the functions and processes for acquiring necessary data and information from external sources via the internet.

[0069] "Information processing means" refers to functions that use collected data to perform necessary calculations and analyses, and derive meaningful results and insights.

[0070] A "generative AI model" refers to an artificial intelligence framework or algorithm designed to perform a specific task based on a large amount of data.

[0071] "Presentation means" refers to methods and devices for conveying calculated results or guidance information to the user, and includes displays and audio guidance systems.

[0072] "Behavioral history" refers to a record of actions and choices a user has made in the past, including data such as route selections and places visited.

[0073] "Real-time updates" refers to a process that immediately corrects information and calculation results in response to changes in the external environment and conditions.

[0074] This system measures location information, collects external information, processes that information, updates it in real time, and provides individual customization to make the user's driving more efficient and comfortable.

[0075] The terminal uses a GPS module installed in the vehicle to accurately determine the user's current location. For example, if the user is in the center of city A, the terminal measures its latitude and longitude. The terminal accepts destination input through a customized interface and transmits it to a server via the internet along with the current location information.

[0076] The server uses information gathering tools to obtain the latest data from external traffic databases and tourism information APIs. Here, the server collects information on traffic accidents, congestion, road construction, and tourist attractions and events. The collected data is then used with the latest generative AI models to calculate the optimal driving route for the user. For example, when traveling to city B at night, it might suggest a different route than a daytime route to avoid congestion.

[0077] The calculated route information is returned to the terminal, which then presents it to the user via voice guidance and a display. This presentation method allows the user to visually and audibly understand route information and traffic conditions while driving. Because the route and guidance information is individually customized based on the user's past travel history, it is possible, for example, to suggest tourist destinations that the user has visited in the past.

[0078] Furthermore, if traffic conditions change in real time while a user is traveling from city A to city B, the server immediately processes the new information, and the terminal updates the route accordingly. This dynamic updating allows users to reach their destination via the most efficient route.

[0079] As a concrete example, by inputting the prompt message, "Calculate the optimal route from city A to city B, and provide guidance information that takes into account tourist spots and event information along the way," into the AI ​​model, the system generates detailed and personalized driving guidance and provides it to the user.

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

[0081] Step 1:

[0082] Before starting to drive, the user enters their destination into the terminal. The terminal uses a GPS module to obtain the user's current location. This input information, including the current location's latitude and longitude, and the destination, is then prepared for data transmission to the server.

[0083] Step 2:

[0084] The terminal sends the user's current location and destination information to the server. The input data sent by the terminal acts as a trigger for the server to begin collecting information. The server uses an external information collection API to collect traffic and tourist information and uses this as input data for the next processing step.

[0085] Step 3:

[0086] The server inputs data collected from external sources into a generating AI model. The generating AI model analyzes the input data and calculates the optimal driving route. This calculation process takes into account factors such as traffic congestion, accidents, and tourist attractions. The resulting optimal route is output as route information to the next step.

[0087] Step 4:

[0088] The server sends the calculated optimal route and related information to the terminal. This output information includes detailed route guidance, estimated travel time, and suggested sightseeing spots. The server also references the user's past activity history to customize the guidance information.

[0089] Step 5:

[0090] The terminal presents the received route information to the user via voice and display. The user then drives based on the presented information. Specifically, the navigation voice guidance begins, and a map is displayed on the screen.

[0091] Step 6:

[0092] While driving, the terminal continuously communicates with the server to receive real-time updates on traffic conditions. When new data is received from the server, the terminal calculates the latest route information and notifies the user. This notification is instantly updated via voice and display.

[0093] (Application Example 1)

[0094] 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."

[0095] In autonomous mobile vehicles, efficiently guiding users along sightseeing routes requires not only providing the shortest route but also a route that includes sightseeing and event information. However, existing navigation systems lack the ability to acquire sightseeing information in real time and optimize the driving route based on it. This invention aims to solve this problem.

[0096] 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.

[0097] In this invention, the server includes measuring means for acquiring location information, information gathering means for collecting external information via the internet, information processing means for analyzing traffic conditions and tourist information and calculating the optimal route, and means for generating tourist location guidance information for an autonomous mobile machine. This makes it possible to provide an optimal route that takes tourist information into consideration for an autonomous mobile machine.

[0098] "Means of measurement for acquiring location information" refers to technologies and devices for determining the current geographical location of a moving object.

[0099] "Information gathering means for collecting external information via the Internet" refers to methods and devices for acquiring real-time data via the Internet, including traffic information and tourism information.

[0100] "Information processing means that analyze traffic conditions and tourist information to calculate the optimal route" refers to technology and devices that calculate the best driving route for a moving object based on collected data.

[0101] "Presentation means for providing calculation results and guidance information to the user" refers to devices or technologies that visually or audibly communicate the calculated driving route and related information to the user.

[0102] "Means for generating tourist location guidance information for autonomous driving mobile machines" refers to technologies and devices that generate information about tourist destinations for autonomous driving systems and enable guidance based on that information.

[0103] To implement this invention, a system is constructed using a terminal mounted on a vehicle and a server connected via the internet. The terminal incorporates a high-precision GPS module and a communication module for accurately acquiring location information. It also includes a display device and an audio output device, which can provide the user with visual and audio information.

[0104] The server incorporates AI algorithms to collect real-time traffic and tourism data from various external data sources via the internet and analyze the information. In particular, it is configured to acquire data from traffic information APIs and tourism information platforms. The information processing combines traffic conditions and tourism information to calculate the optimal route. This process also takes into account the user's past travel history, allowing for personalized travel guidance.

[0105] As a concrete example, if a user wishes to stop at tourist attractions while traveling from city A to city B, the server uses an AI algorithm to calculate the optimal route from the user's current location in city A to city B. It consults a database of tourist attractions, suggests multiple stops, and selects the most efficient route. Throughout this process, the route is updated in real time in response to changes in traffic conditions, ensuring the user always receives the best possible guidance.

[0106] By using a generative AI model, the server can interpret natural language prompts and generate guidance information based on appropriate data. For example, when it receives a prompt such as, "Generative AI, calculate the optimal route to provide to the customer based on real-time traffic conditions and tourist information," the AI ​​model analyzes it, extracts the necessary information, and provides it to the user.

[0107] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0108] Step 1:

[0109] The device obtains the user's current location from the GPS module. The input is the location signal from the GPS, and the output is the current latitude and longitude data. This data is sent to the server.

[0110] Step 2:

[0111] The server collects external information via the internet. Input is data obtained from APIs related to tourist attractions and traffic information, and output is real-time traffic and tourist information. The server then integrates this data.

[0112] Step 3:

[0113] Based on external information acquired by the server, an information processing algorithm is used to calculate the optimal driving route. Inputs include traffic and tourist information integrated by the server, the user's current location, and their destination. Output is guidance data for the optimal route. This allows for the suggestion of an efficient route.

[0114] Step 4:

[0115] The server references the user's past behavior history and customizes the guidance information. The input is the user's history data, and the output is customized guidance information. This makes it possible to provide recommended routes based on the user's preferences.

[0116] Step 5:

[0117] The server sends the calculated optimal route and related information to the terminal. The terminal provides the received data to the user through a display and audio output device. The input is the guidance data received from the server, and the output is the visual and auditory guidance to the user.

[0118] Step 6:

[0119] The terminal monitors changes in traffic conditions while in operation and continuously receives the latest information from the server. The input is real-time information from the server, and the output is updated route guidance. This allows for the continuous provision of appropriate guidance tailored to the driving situation.

[0120] 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.

[0121] This invention is implemented using a car navigation system mounted on a vehicle and is a system that combines location information acquisition, external information collection, information processing, and presentation means. Furthermore, it is equipped with an emotion engine that recognizes the user's emotions. This makes it possible to provide personalized route guidance and entertainment that responds to the user's state and emotions while driving.

[0122] System program and processing description

[0123] The terminal obtains the user's destination and current location and sends this information to the server. The server collects real-time traffic and tourist information via the internet and calculates the optimal route. In this process, the user's past travel history is also taken into consideration, so personalized information is provided.

[0124] Of particular note is the inclusion of an emotion engine. The device uses cameras and sensors to analyze the user's facial expressions, voice tone, and posture to acquire emotional data. Based on this, for example, if the user is feeling stressed, it will prioritize suggesting relaxing music or routes that avoid traffic jams.

[0125] The server can select information based on emotional data and provide optimal entertainment or relaxation information. For example, if the user is excited, the device may recommend a meditation app or calming music to soothe the atmosphere in the car. In this way, dynamic and useful information can be provided according to the user's emotional state.

[0126] Specific example

[0127] For example, consider a situation where a user is feeling tired after a long drive. The device detects signs of fatigue from the user's facial expression and sends that information to the server. The server sends a route to the device that includes relaxing rest stops and notifies the user. Furthermore, it recommends podcasts or nature sound playlists that are effective for changing one's mood, helping the user reach their destination efficiently and comfortably.

[0128] The following describes the processing flow.

[0129] Step 1:

[0130] The user enters their destination into the car navigation terminal. This information, along with the current location, is sent from the terminal to the server.

[0131] Step 2:

[0132] The device uses its built-in camera and sensors to capture the user's facial expressions and voice tone, and then analyzes this data using an emotion engine.

[0133] Step 3:

[0134] The server collects real-time traffic information, weather information, and information on tourist attractions and events via the internet. This is done using databases and APIs from external information providers.

[0135] Step 4:

[0136] The server analyzes the collected data and calculates the optimal route, taking into account traffic conditions and accident information. Furthermore, it customizes the driving route and suggested information by referring to past user history data.

[0137] Step 5:

[0138] The server receives user emotion data from the emotion engine and adjusts navigation information and entertainment content accordingly. For example, if the user needs to relax, it will suggest a route that includes calming music and relaxation points.

[0139] Step 6:

[0140] The device provides users with calculated route information and customized guidance information via voice and display. This includes estimated arrival times to the destination and information about intermediate stops.

[0141] Step 7:

[0142] While driving, the device periodically monitors the user's emotional state and sends new emotional data to the emotion engine. Meanwhile, if there is new traffic information collected, the server re-evaluates the route and, if necessary, presents the user with the latest route via the device.

[0143] Step 8:

[0144] When the user arrives at their destination, the device records all driving data for future reference. This information can also be used to improve the accuracy of sentiment analysis.

[0145] (Example 2)

[0146] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0147] Conventional in-vehicle navigation systems have a problem in that they provide static information to users, and do not adequately reflect real-time traffic or tourist information, making it impossible to provide personalized services that respond to the individual user's situation and emotional state. Furthermore, there is a need for dynamic entertainment that guides users along the optimal route while reducing fatigue and stress from long hours of driving.

[0148] 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.

[0149] In this invention, the server includes measuring means for acquiring location information, information gathering means for collecting external information via the internet, information processing means for analyzing traffic conditions and tourist information and calculating the optimal route, emotion analysis means for analyzing the user's facial expressions, tone of voice, and posture and acquiring emotion data, and information selection means for providing appropriate entertainment based on the emotion data. This makes it possible to provide dynamic and personalized services that respond to the user's emotional state.

[0150] "Measuring means for acquiring location information" refers to devices and technologies used to measure the current location of a vehicle or the location of its destination.

[0151] "Information gathering means for collecting external information via the Internet" refers to devices and methods for acquiring external data such as traffic information and tourism information via the Internet.

[0152] "Information processing means for analyzing traffic conditions and tourist information to calculate the optimal route" refers to a processor or program that analyzes acquired information on traffic conditions and tourist destinations to calculate the most efficient travel route.

[0153] "Presentation means for providing calculation results and guidance information to the user" refers to a display or audio output device for displaying the calculated route and travel information in an easy-to-understand manner for the user.

[0154] "An emotional analysis method that analyzes the user's facial expressions, tone of voice, and posture to acquire emotional data" refers to a device or software that uses sensors such as cameras and microphones to analyze the user's facial expressions, tone of voice, and body posture, and converts their emotional state into data.

[0155] "Information selection means for providing appropriate entertainment based on emotional data" refers to a means for selecting and providing music, applications, etc., that correspond to the user's emotional state, based on data obtained from an emotional analysis means.

[0156] This invention is a system implemented using a vehicle-mounted navigation system, combining various elements to personalize the user's driving experience. The main components of the system include GPS technology for acquiring location information, a communication module for collecting external information via internet connectivity, and a processor for processing data and calculating the optimal route. It also incorporates an emotion engine that uses a camera and microphone to capture and analyze facial expressions and voice tone to understand the user's emotions.

[0157] The device uses GPS functionality to determine the user's location and transmits that information to a server. A communication module allows it to connect to the internet in real time and collect external information. This makes it possible to gather the latest traffic and tourist information.

[0158] Based on this data, the server analyzes past behavioral history and real-time emotional data to calculate a personalized and optimal path. Emotional data is analyzed by an emotion engine installed on the device, quantifying the user's emotional state. This data is used to select appropriate entertainment and information.

[0159] For example, if a user feels fatigued while driving, the device's camera captures the user's face, and an emotion engine analyzes it to detect signs of fatigue. Based on this data, the server selects a more comfortable route and suggests relaxing music. Also, if the user wishes to avoid traffic congestion, it presents the optimal route considering real-time information.

[0160] The specific hardware required for this system to operate includes a GPS module, camera, microphone, and communication module, while the software used includes facial recognition software, voice analysis software, and an emotion analysis engine.

[0161] Examples of prompt messages include the following:

[0162] "I've been driving for a long time now and I'm feeling tired, so please suggest a route that includes rest stops where I can relax."

[0163] "I feel stressed while driving. Please recommend some calming music or podcasts."

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

[0165] Step 1:

[0166] The terminal uses the vehicle's GPS module to obtain the user's current location. It receives GPS signals as input and calculates the user's latitude and longitude. This allows it to output the user's precise location information. This location information is displayed on the car navigation system screen. Information regarding the current location and destination is also input and stored within the navigation system.

[0167] Step 2:

[0168] The terminal transmits its current location and destination information to the server via an internet connection. It receives location information as input and transmits it via a communication module. The transmitted data arrives at the server as basic data for route calculation.

[0169] Step 3:

[0170] The server collects real-time traffic and tourist information from the internet based on the received location information. It utilizes databases and open APIs to obtain the latest traffic and road information. During this process, it uses information collection algorithms to identify anomalies such as traffic congestion and road closures. As output, it generates organized real-time information.

[0171] Step 4:

[0172] The server calculates the optimal route using collected information and past user behavior history. It considers real-time traffic information and the user's past travel patterns as input. Information processing algorithms are used to analyze this data and output a personalized optimal route. This process also takes into account factors such as favorable travel times and preferred stops.

[0173] Step 5:

[0174] The device uses its built-in camera and microphone to detect the user's facial expressions and tone of voice, and analyzes them with an emotion analysis engine. It takes the user's facial image and speech audio as input for emotion analysis. The analysis results in an output that numerically represents the user's emotional data. This data indicates the user's current emotional state.

[0175] Step 6:

[0176] The server selects information such as entertainment and relaxation suggestions based on emotional data. It receives numerical data obtained from emotional analysis as input and generates customized content tailored to the user's scent. This allows it to output things like relaxing music and suggestions for podcasts of interest.

[0177] Step 7:

[0178] The terminal presents the user with optimal route information and entertainment information provided by the server. This includes visual displays on the navigation screen and music playback via the audio system. Users can instantly experience the suggested content without having to manually select anything.

[0179] (Application Example 2)

[0180] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0181] In autonomous vehicles, there is a need to provide personalized services to passengers in real time, tailored to their emotional state. However, conventional systems are insufficient in providing information that takes passengers' emotions into account, making it difficult to maximize comfort. Therefore, technology is needed that can appropriately and individually provide visual and auditory content according to the passenger's emotional state.

[0182] 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.

[0183] In this invention, the server includes acquisition means for obtaining location information, collection means for collecting external information through an information network, processing means for analyzing traffic conditions and tourist information and calculating the optimal route, and means for providing personalized visual and auditory content based on emotional state. This enables the real-time provision of personalized visual and auditory content that responds to the user's emotions.

[0184] "Means for acquiring location information" refers to technologies for determining the current location of a vehicle, and includes Global Positioning System (GPS) and other location-determining technologies.

[0185] "Means of collecting external information through information networks" refers to technologies that obtain information such as traffic conditions and tourist information in real time via networks such as the internet.

[0186] "Processing means for analyzing traffic conditions and tourist information to calculate the optimal route" refers to computational technology that analyzes collected information and provides users with the most suitable travel route.

[0187] "Presentation means for providing calculation results and guidance information to users" refers to technology that uses in-vehicle displays or voice guidance systems to communicate calculated route information and related guidance to users.

[0188] "Emotion recognition means for recognizing a user's emotional state" refers to technology that uses cameras and microphones to analyze a user's facial expressions and tone of voice and estimate their emotions.

[0189] "Means of providing personalized visual and auditory content based on emotional state" refers to technologies that take the user's emotions into consideration and provide content such as relaxing music and tourist visual guides through visual displays and sound systems.

[0190] The system for implementing this invention is centered around a terminal installed in a vehicle. The terminal mainly includes acquisition means for acquiring location information, collection means for collecting traffic information and tourist information from the internet, processing means for calculating the optimal route based on the collected information, presentation means for presenting the calculation results, emotion recognition means for recognizing the user's emotional state, and means for providing personalized visual and auditory content based on that emotion.

[0191] The system works as follows: It uses the camera and microphone on the device to capture the user's facial expressions and tone of voice, and analyzes their emotional state. Common emotion analysis software can be used for this emotion recognition. For example, cloud-based facial recognition APIs and voice analysis APIs are used. The analyzed emotion data is transferred to a server. The server selects appropriate visual information and audio content based on this emotion data and sends it to the device.

[0192] When a user uses smart glasses, images of tourist attractions are displayed on the glasses' screen, and appropriate background music is played from the audio output device. This series of operations allows users to have a more comfortable time in the vehicle. The visual display and audio device connect to the terminal via Bluetooth.

[0193] As a concrete example, consider a scenario where a user is feeling fatigued after a long journey. In this case, the device senses the user's fatigue level from their facial expressions and voice and transmits this information to the server. The server then transfers relaxing music or images of tourist attractions to the device and communicates them to the user. This allows the user to reach their destination comfortably.

[0194] An example of a prompt for a generative AI model might be: "Think of a scenario for an application where smart glasses recognize the user's emotions and provide relaxing music and tourist information in real time."

[0195] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0196] Step 1:

[0197] The device obtains location information from the GPS unit. This information is sent to the server and output as data indicating the current location. This allows the server to recognize the vehicle's location.

[0198] Step 2:

[0199] The server collects external information via the internet. Specifically, it acquires traffic data and tourist attraction information. Based on this data, processing begins to calculate the optimal route. The collected data becomes input for data analysis within the server.

[0200] Step 3:

[0201] The server uses an algorithm to calculate the optimal route based on collected traffic data and tourist information. This calculation derives an efficient and comfortable travel route for the user. The calculated route is output as guidance information to the terminal.

[0202] Step 4:

[0203] The device collects the user's facial expressions and voice using its built-in camera and microphone. Emotion recognition software processes this data and analyzes the user's emotional state. The results are then sent to a server as data. This emotional state data serves as the basis for personalizing the user's experience.

[0204] Step 5:

[0205] The server filters visual and auditory information based on the received emotional state data. This filtering selects personalized entertainment content. The selected content is then sent to the device.

[0206] Step 6:

[0207] The device provides the user with visual and auditory information received from the server. Specifically, visuals of tourist destinations are displayed on the smart glasses' screen, and appropriate music is played through a Bluetooth-connected speaker. This allows the user to have a comfortable experience that responds to their emotions.

[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 type of 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] To implement this invention, a terminal mounted in a vehicle is used, along with a server connected via the internet. The terminal is equipped with a GPS module for acquiring location information, allowing the user's current location to be constantly determined. The server collects external information via the internet and uses it to calculate the optimal driving route.

[0225] Description of the system's programs and processes

[0226] The terminal receives destination information set by the user and sends it to the server along with the current location information. The server collects real-time traffic information and tourist information from multiple data sources on the internet. This allows it to understand traffic congestion, accident information, road construction status, and also obtain tourist and event information.

[0227] The server then uses the collected information to calculate the most efficient driving route for the user. This calculation takes into account factors such as distance, travel time, traffic conditions, and the enjoyment of sightseeing. Furthermore, it can refer to the user's past history data to individually customize the route and guidance information.

[0228] The terminal provides the user with the calculated optimal route and related information via voice guidance and a display. This allows the user to enjoy driving while being aware of the current route, traffic conditions, and tourist information in real time. If traffic conditions change while driving, the terminal receives the latest information from the server, immediately updates the route, and notifies the user.

[0229] Specific example

[0230] For example, if a user plans a drive from city A to city B, the device sends its current location in city A to the server, which then analyzes traffic conditions and event information along the route to city B. Upon departure from city A, the device suggests a calculated optimal route using public roads and also provides information on several tourist attractions the user can visit along the way. If traffic congestion occurs along the way, the device notifies the user of alternative routes to support smoother driving.

[0231] The following describes the processing flow.

[0232] Step 1:

[0233] The user enters their destination into the terminal. At this time, they can also set a departure point and intermediate stops as needed.

[0234] Step 2:

[0235] The terminal uses a GPS module to obtain the vehicle's current location and transmits it to the server along with the entered destination.

[0236] Step 3:

[0237] The server collects traffic information and tourist information for destinations and the routes between them from internet-based traffic information APIs and tourist information services.

[0238] Step 4:

[0239] The server analyzes the collected traffic information to check for congestion, traffic disruptions, accidents, and the impact of construction work.

[0240] Step 5:

[0241] The server considers past user behavior and general popularity information to extract data from the acquired tourist information that is likely to interest the user.

[0242] Step 6:

[0243] The server calculates the optimal driving route for the user based on all the collected data. The calculation takes into account factors such as distance, time, traffic conditions, and the enjoyment of sightseeing.

[0244] Step 7:

[0245] The server sends the calculated optimal route and related sightseeing and event information to the terminal.

[0246] Step 8:

[0247] The device provides the user with the calculated optimal route and surrounding information through voice and on-screen displays.

[0248] Step 9:

[0249] The device periodically updates its location information while in motion and communicates with a server to obtain new traffic information.

[0250] Step 10:

[0251] If the server recalculates the route based on new traffic information, the terminal will notify the user of the updated route information and continue the guidance.

[0252] (Example 1)

[0253] 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."

[0254] In modern driver assistance systems, it is difficult to accurately acquire real-time traffic and tourist information and provide optimal route guidance based on the user's past preferences. In particular, many existing systems are unable to adequately propose the most efficient and attractive route for the user in the midst of changing traffic conditions.

[0255] 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.

[0256] In this invention, the server includes measurement means for acquiring location information, information gathering means for collecting external information via the internet, and information processing means for analyzing traffic conditions and tourist information and calculating the optimal route using a generated AI model. This enables real-time optimal route guidance according to the user's destination setting.

[0257] "Location information" refers to data used to identify a geographical location, and typically includes information such as latitude and longitude.

[0258] "Measurement means" refers to the equipment and technology necessary to acquire location information, and includes GPS modules, etc.

[0259] "Information gathering means" refers to the functions and processes for acquiring necessary data and information from external sources via the internet.

[0260] "Information processing means" refers to functions that use collected data to perform necessary calculations and analyses, and derive meaningful results and insights.

[0261] A "generative AI model" refers to an artificial intelligence framework or algorithm designed to perform a specific task based on a large amount of data.

[0262] "Presentation means" refers to methods and devices for conveying calculated results or guidance information to the user, and includes displays and audio guidance systems.

[0263] "Behavioral history" refers to a record of actions and choices a user has made in the past, including data such as route selections and places visited.

[0264] "Real-time updates" refers to a process that immediately corrects information and calculation results in response to changes in the external environment and conditions.

[0265] This system measures location information, collects external information, processes that information, updates it in real time, and provides individual customization to make the user's driving more efficient and comfortable.

[0266] The terminal uses a GPS module installed in the vehicle to accurately determine the user's current location. For example, if the user is in the center of city A, the terminal measures its latitude and longitude. The terminal accepts destination input through a customized interface and transmits it to a server via the internet along with the current location information.

[0267] The server uses information gathering tools to obtain the latest data from external traffic databases and tourism information APIs. Here, the server collects information on traffic accidents, congestion, road construction, and tourist attractions and events. The collected data is then used with the latest generative AI models to calculate the optimal driving route for the user. For example, when traveling to city B at night, it might suggest a different route than a daytime route to avoid congestion.

[0268] The calculated route information is returned to the terminal, which then presents it to the user via voice guidance and a display. This presentation method allows the user to visually and audibly understand route information and traffic conditions while driving. Because the route and guidance information is individually customized based on the user's past travel history, it is possible, for example, to suggest tourist destinations that the user has visited in the past.

[0269] Furthermore, if traffic conditions change in real time while a user is traveling from city A to city B, the server immediately processes the new information, and the terminal updates the route accordingly. This dynamic updating allows users to reach their destination via the most efficient route.

[0270] As a concrete example, by inputting the prompt message, "Calculate the optimal route from city A to city B, and provide guidance information that takes into account tourist spots and event information along the way," into the AI ​​model, the system generates detailed and personalized driving guidance and provides it to the user.

[0271] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0272] Step 1:

[0273] Before starting to drive, the user enters their destination into the terminal. The terminal uses a GPS module to obtain the user's current location. This input information, including the current location's latitude and longitude, and the destination, is then prepared for data transmission to the server.

[0274] Step 2:

[0275] The terminal sends the user's current location and destination information to the server. The input data sent by the terminal acts as a trigger for the server to begin collecting information. The server uses an external information collection API to collect traffic and tourist information and uses this as input data for the next processing step.

[0276] Step 3:

[0277] The server inputs data collected from external sources into a generating AI model. The generating AI model analyzes the input data and calculates the optimal driving route. This calculation process takes into account factors such as traffic congestion, accidents, and tourist attractions. The resulting optimal route is output as route information to the next step.

[0278] Step 4:

[0279] The server sends the calculated optimal route and related information to the terminal. This output information includes detailed route guidance, estimated travel time, and suggested sightseeing spots. The server also references the user's past activity history to customize the guidance information.

[0280] Step 5:

[0281] The terminal presents the received route information to the user via voice and display. The user then drives based on the presented information. Specifically, the navigation voice guidance begins, and a map is displayed on the screen.

[0282] Step 6:

[0283] While driving, the terminal continuously communicates with the server to receive real-time updates on traffic conditions. When new data is received from the server, the terminal calculates the latest route information and notifies the user. This notification is instantly updated via voice and display.

[0284] (Application Example 1)

[0285] Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as a "server", and the smart glasses 214 are referred to as a "terminal".

[0286] In an automatically driven moving machine, in order to efficiently guide a sightseeing operation route, it is necessary not only to provide the shortest route but also to provide an operation route including sightseeing information and event information. However, existing navigation systems lack the ability to acquire sightseeing information in real time and optimize the driving route based on it. The present invention aims to solve this problem.

[0287] 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.

[0288] In this invention, the server includes a measurement means for acquiring position information, an information collection means for collecting external information through the Internet, an information processing means for analyzing traffic conditions and sightseeing information and calculating an optimal route, and a means for generating sightseeing position guidance information for an automatically driven moving machine. Thereby, in an automatically driven moving machine, it becomes possible to provide an optimal route considering sightseeing information.

[0289] The "measurement means for acquiring position information" refers to a technology or device for specifying the current geographical position of a moving object.

[0290] The "information collection means for collecting external information through the Internet" is a method or device for acquiring real-time data via the Internet and includes traffic information, sightseeing information, and the like.

[0291] The "information processing means for analyzing traffic conditions and sightseeing information and calculating an optimal route" refers to a technology or device for calculating the best driving route for a moving object based on the collected data.

[0292] "Presentation means for providing calculation results and guidance information to the user" refers to devices or technologies that visually or audibly communicate the calculated driving route and related information to the user.

[0293] "Means for generating tourist location guidance information for autonomous driving mobile machines" refers to technologies and devices that generate information about tourist destinations for autonomous driving systems and enable guidance based on that information.

[0294] To implement this invention, a system is constructed using a terminal mounted on a vehicle and a server connected via the internet. The terminal incorporates a high-precision GPS module and a communication module for accurately acquiring location information. It also includes a display device and an audio output device, which can provide the user with visual and audio information.

[0295] The server incorporates AI algorithms to collect real-time traffic and tourism data from various external data sources via the internet and analyze the information. In particular, it is configured to acquire data from traffic information APIs and tourism information platforms. The information processing combines traffic conditions and tourism information to calculate the optimal route. This process also takes into account the user's past travel history, allowing for personalized travel guidance.

[0296] As a concrete example, if a user wishes to stop at tourist attractions while traveling from city A to city B, the server uses an AI algorithm to calculate the optimal route from the user's current location in city A to city B. It consults a database of tourist attractions, suggests multiple stops, and selects the most efficient route. Throughout this process, the route is updated in real time in response to changes in traffic conditions, ensuring the user always receives the best possible guidance.

[0297] By using a generative AI model, the server can interpret natural language prompts and generate guidance information based on appropriate data. For example, when it receives a prompt such as, "Generative AI, calculate the optimal route to provide to the customer based on real-time traffic conditions and tourist information," the AI ​​model analyzes it, extracts the necessary information, and provides it to the user.

[0298] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0299] Step 1:

[0300] The device obtains the user's current location from the GPS module. The input is the location signal from the GPS, and the output is the current latitude and longitude data. This data is sent to the server.

[0301] Step 2:

[0302] The server collects external information via the internet. Input is data obtained from APIs related to tourist attractions and traffic information, and output is real-time traffic and tourist information. The server then integrates this data.

[0303] Step 3:

[0304] Based on external information acquired by the server, an information processing algorithm is used to calculate the optimal driving route. Inputs include traffic and tourist information integrated by the server, the user's current location, and their destination. Output is guidance data for the optimal route. This allows for the suggestion of an efficient route.

[0305] Step 4:

[0306] The server references the user's past behavior history and customizes the guidance information. The input is the user's history data, and the output is customized guidance information. This makes it possible to provide recommended routes based on the user's preferences.

[0307] Step 5:

[0308] The server transmits the calculated optimal route and related information to the terminal. The terminal provides the received data to the user through a display and an audio output device. The input is the guidance data received from the server, and the output is the visual and auditory guidance to the user.

[0309] Step 6:

[0310] The terminal monitors changes in traffic conditions during operation and receives the latest information from the server at any time. The input is the real-time information from the server, and the output is the updated route guidance. Thereby, appropriate guidance according to the situation during driving is continuously provided.

[0311] 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.

[0312] The present invention is implemented using a car navigation system mounted on a vehicle, and is a system that combines position information acquisition, external information collection, information processing, and presentation means. Furthermore, it includes an emotion engine for recognizing the user's emotion. Thereby, it becomes possible to provide personalized route guidance and entertainment according to the state and emotion of the user during driving.

[0313] Explanation of the system program and processing

[0314] The terminal acquires the user's destination and current location and transmits the information to the server. The server collects real-time traffic information and sightseeing information through the Internet and calculates the optimal route. At this time, since the user's past behavior history is also considered, individualized information is provided.

[0315] Of particular note is the inclusion of an emotion engine. The device uses cameras and sensors to analyze the user's facial expressions, voice tone, and posture to acquire emotional data. Based on this, for example, if the user is feeling stressed, it will prioritize suggesting relaxing music or routes that avoid traffic jams.

[0316] The server can select information based on emotional data and provide optimal entertainment or relaxation information. For example, if the user is excited, the device may recommend a meditation app or calming music to soothe the atmosphere in the car. In this way, dynamic and useful information can be provided according to the user's emotional state.

[0317] Specific example

[0318] For example, consider a situation where a user is feeling tired after a long drive. The device detects signs of fatigue from the user's facial expression and sends that information to the server. The server sends a route to the device that includes relaxing rest stops and notifies the user. Furthermore, it recommends podcasts or nature sound playlists that are effective for changing one's mood, helping the user reach their destination efficiently and comfortably.

[0319] The following describes the processing flow.

[0320] Step 1:

[0321] The user enters their destination into the car navigation terminal. This information, along with the current location, is sent from the terminal to the server.

[0322] Step 2:

[0323] The device uses its built-in camera and sensors to capture the user's facial expressions and voice tone, and then analyzes this data using an emotion engine.

[0324] Step 3:

[0325] The server collects real-time traffic information, weather information, and information on tourist attractions and events via the internet. This is done using databases and APIs from external information providers.

[0326] Step 4:

[0327] The server analyzes the collected data and calculates the optimal route, taking into account traffic conditions and accident information. Furthermore, it customizes the driving route and suggested information by referring to past user history data.

[0328] Step 5:

[0329] The server receives user emotion data from the emotion engine and adjusts navigation information and entertainment content accordingly. For example, if the user needs to relax, it will suggest a route that includes calming music and relaxation points.

[0330] Step 6:

[0331] The device provides users with calculated route information and customized guidance information via voice and display. This includes estimated arrival times to the destination and information about intermediate stops.

[0332] Step 7:

[0333] While driving, the device periodically monitors the user's emotional state and sends new emotional data to the emotion engine. Meanwhile, if there is new traffic information collected, the server re-evaluates the route and, if necessary, presents the user with the latest route via the device.

[0334] Step 8:

[0335] When the user arrives at their destination, the device records all driving data for future reference. This information can also be used to improve the accuracy of sentiment analysis.

[0336] (Example 2)

[0337] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0338] Conventional in-vehicle navigation systems have a problem in that they provide static information to users, and do not adequately reflect real-time traffic or tourist information, making it impossible to provide personalized services that respond to the individual user's situation and emotional state. Furthermore, there is a need for dynamic entertainment that guides users along the optimal route while reducing fatigue and stress from long hours of driving.

[0339] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0340] In this invention, the server includes measuring means for acquiring location information, information gathering means for collecting external information via the internet, information processing means for analyzing traffic conditions and tourist information and calculating the optimal route, emotion analysis means for analyzing the user's facial expressions, tone of voice, and posture and acquiring emotion data, and information selection means for providing appropriate entertainment based on the emotion data. This makes it possible to provide dynamic and personalized services that respond to the user's emotional state.

[0341] "Measuring means for acquiring location information" refers to devices and technologies used to measure the current location of a vehicle or the location of its destination.

[0342] "Information gathering means for collecting external information via the Internet" refers to devices and methods for acquiring external data such as traffic information and tourism information via the Internet.

[0343] "Information processing means for analyzing traffic conditions and tourist information to calculate the optimal route" refers to a processor or program that analyzes acquired information on traffic conditions and tourist destinations to calculate the most efficient travel route.

[0344] "Presentation means for providing calculation results and guidance information to the user" refers to a display or audio output device for displaying the calculated route and travel information in an easy-to-understand manner for the user.

[0345] "An emotional analysis method that analyzes the user's facial expressions, tone of voice, and posture to acquire emotional data" refers to a device or software that uses sensors such as cameras and microphones to analyze the user's facial expressions, tone of voice, and body posture, and converts their emotional state into data.

[0346] "Information selection means for providing appropriate entertainment based on emotional data" refers to a means for selecting and providing music, applications, etc., that correspond to the user's emotional state, based on data obtained from an emotional analysis means.

[0347] This invention is a system implemented using a vehicle-mounted navigation system, combining various elements to personalize the user's driving experience. The main components of the system include GPS technology for acquiring location information, a communication module for collecting external information via internet connectivity, and a processor for processing data and calculating the optimal route. It also incorporates an emotion engine that uses a camera and microphone to capture and analyze facial expressions and voice tone to understand the user's emotions.

[0348] The device uses GPS functionality to determine the user's location and transmits that information to a server. A communication module allows it to connect to the internet in real time and collect external information. This makes it possible to gather the latest traffic and tourist information.

[0349] Based on this data, the server analyzes past behavioral history and real-time emotional data to calculate a personalized and optimal path. Emotional data is analyzed by an emotion engine installed on the device, quantifying the user's emotional state. This data is used to select appropriate entertainment and information.

[0350] For example, if a user feels fatigued while driving, the device's camera captures the user's face, and an emotion engine analyzes it to detect signs of fatigue. Based on this data, the server selects a more comfortable route and suggests relaxing music. Also, if the user wishes to avoid traffic congestion, it presents the optimal route considering real-time information.

[0351] The specific hardware required for this system to operate includes a GPS module, camera, microphone, and communication module, while the software used includes facial recognition software, voice analysis software, and an emotion analysis engine.

[0352] Examples of prompt messages include the following:

[0353] "I've been driving for a long time now and I'm feeling tired, so please suggest a route that includes rest stops where I can relax."

[0354] "I feel stressed while driving. Please recommend some calming music or podcasts."

[0355] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0356] Step 1:

[0357] The terminal uses the vehicle's GPS module to obtain the user's current location. It receives GPS signals as input and calculates the user's latitude and longitude. This allows it to output the user's precise location information. This location information is displayed on the car navigation system screen. Information regarding the current location and destination is also input and stored within the navigation system.

[0358] Step 2:

[0359] The terminal transmits its current location and destination information to the server via an internet connection. It receives location information as input and transmits it via a communication module. The transmitted data arrives at the server as basic data for route calculation.

[0360] Step 3:

[0361] The server collects real-time traffic and tourist information from the internet based on the received location information. It utilizes databases and open APIs to obtain the latest traffic and road information. During this process, it uses information collection algorithms to identify anomalies such as traffic congestion and road closures. As output, it generates organized real-time information.

[0362] Step 4:

[0363] The server calculates the optimal route using collected information and past user behavior history. It considers real-time traffic information and the user's past travel patterns as input. Information processing algorithms are used to analyze this data and output a personalized optimal route. This process also takes into account factors such as favorable travel times and preferred stops.

[0364] Step 5:

[0365] The device uses its built-in camera and microphone to detect the user's facial expressions and tone of voice, and analyzes them with an emotion analysis engine. It takes the user's facial image and speech audio as input for emotion analysis. The analysis results in an output that numerically represents the user's emotional data. This data indicates the user's current emotional state.

[0366] Step 6:

[0367] The server selects information such as entertainment and relaxation suggestions based on emotional data. It receives numerical data obtained from emotional analysis as input and generates customized content tailored to the user's scent. This allows it to output things like relaxing music and suggestions for podcasts of interest.

[0368] Step 7:

[0369] The terminal presents the user with optimal route information and entertainment information provided by the server. This includes visual displays on the navigation screen and music playback via the audio system. Users can instantly experience the suggested content without having to manually select anything.

[0370] (Application Example 2)

[0371] 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."

[0372] In autonomous vehicles, there is a need to provide personalized services to passengers in real time, tailored to their emotional state. However, conventional systems are insufficient in providing information that takes passengers' emotions into account, making it difficult to maximize comfort. Therefore, technology is needed that can appropriately and individually provide visual and auditory content according to the passenger's emotional state.

[0373] 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.

[0374] In this invention, the server includes acquisition means for obtaining location information, collection means for collecting external information through an information network, processing means for analyzing traffic conditions and tourist information and calculating the optimal route, and means for providing personalized visual and auditory content based on emotional state. This enables the real-time provision of personalized visual and auditory content that responds to the user's emotions.

[0375] "Means for acquiring location information" refers to technologies for determining the current location of a vehicle, and includes Global Positioning System (GPS) and other location-determining technologies.

[0376] "Means of collecting external information through information networks" refers to technologies that obtain information such as traffic conditions and tourist information in real time via networks such as the internet.

[0377] "Processing means for analyzing traffic conditions and tourist information to calculate the optimal route" refers to computational technology that analyzes collected information and provides users with the most suitable travel route.

[0378] "Presentation means for providing calculation results and guidance information to users" refers to technology that uses in-vehicle displays or voice guidance systems to communicate calculated route information and related guidance to users.

[0379] "Emotion recognition means for recognizing a user's emotional state" refers to technology that uses cameras and microphones to analyze a user's facial expressions and tone of voice and estimate their emotions.

[0380] "Means of providing personalized visual and auditory content based on emotional state" refers to technologies that take the user's emotions into consideration and provide content such as relaxing music and tourist visual guides through visual displays and sound systems.

[0381] The system for implementing this invention is centered around a terminal installed in a vehicle. The terminal mainly includes acquisition means for acquiring location information, collection means for collecting traffic information and tourist information from the internet, processing means for calculating the optimal route based on the collected information, presentation means for presenting the calculation results, emotion recognition means for recognizing the user's emotional state, and means for providing personalized visual and auditory content based on that emotion.

[0382] The system works as follows: It uses the camera and microphone on the device to capture the user's facial expressions and tone of voice, and analyzes their emotional state. Common emotion analysis software can be used for this emotion recognition. For example, cloud-based facial recognition APIs and voice analysis APIs are used. The analyzed emotion data is transferred to a server. The server selects appropriate visual information and audio content based on this emotion data and sends it to the device.

[0383] When a user uses smart glasses, images of tourist attractions are displayed on the glasses' screen, and appropriate background music is played from the audio output device. This series of operations allows users to have a more comfortable time in the vehicle. The visual display and audio device connect to the terminal via Bluetooth.

[0384] As a concrete example, consider a scenario where a user is feeling fatigued after a long journey. In this case, the device senses the user's fatigue level from their facial expressions and voice and transmits this information to the server. The server then transfers relaxing music or images of tourist attractions to the device and communicates them to the user. This allows the user to reach their destination comfortably.

[0385] An example of a prompt for a generative AI model might be: "Think of a scenario for an application where smart glasses recognize the user's emotions and provide relaxing music and tourist information in real time."

[0386] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0387] Step 1:

[0388] The device obtains location information from the GPS unit. This information is sent to the server and output as data indicating the current location. This allows the server to recognize the vehicle's location.

[0389] Step 2:

[0390] The server collects external information via the internet. Specifically, it acquires traffic data and tourist attraction information. Based on this data, processing begins to calculate the optimal route. The collected data becomes input for data analysis within the server.

[0391] Step 3:

[0392] The server uses an algorithm to calculate the optimal route based on collected traffic data and tourist information. This calculation derives an efficient and comfortable travel route for the user. The calculated route is output as guidance information to the terminal.

[0393] Step 4:

[0394] The device collects the user's facial expressions and voice using its built-in camera and microphone. Emotion recognition software processes this data and analyzes the user's emotional state. The results are then sent to a server as data. This emotional state data serves as the basis for personalizing the user's experience.

[0395] Step 5:

[0396] The server filters visual and auditory information based on the received emotional state data. This filtering process selects personalized entertainment content. The selected content is then sent to the device.

[0397] Step 6:

[0398] The device provides the user with visual and auditory information received from the server. Specifically, visuals of tourist destinations are displayed on the smart glasses' screen, and appropriate music is played through a Bluetooth-connected speaker. This allows the user to have a comfortable experience that responds to their emotions.

[0399] 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.

[0400] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0401] 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.

[0402] [Third Embodiment]

[0403] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0404] 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.

[0405] 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).

[0406] 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.

[0407] 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.

[0408] 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).

[0409] 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.

[0410] 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.

[0411] 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.

[0412] 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.

[0413] 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.

[0414] 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".

[0415] To implement this invention, a terminal mounted in a vehicle is used, along with a server connected via the internet. The terminal is equipped with a GPS module for acquiring location information, allowing the user's current location to be constantly determined. The server collects external information via the internet and uses it to calculate the optimal driving route.

[0416] Description of the system's programs and processes

[0417] The terminal receives destination information set by the user and sends it to the server along with the current location information. The server collects real-time traffic information and tourist information from multiple data sources on the internet. This allows it to understand traffic congestion, accident information, road construction status, and also obtain tourist and event information.

[0418] The server then uses the collected information to calculate the most efficient driving route for the user. This calculation takes into account factors such as distance, travel time, traffic conditions, and the enjoyment of sightseeing. Furthermore, it can refer to the user's past history data to individually customize the route and guidance information.

[0419] The terminal provides the user with the calculated optimal route and related information via voice guidance and a display. This allows the user to enjoy driving while being aware of the current route, traffic conditions, and tourist information in real time. If traffic conditions change while driving, the terminal receives the latest information from the server, immediately updates the route, and notifies the user.

[0420] Specific example

[0421] For example, if a user plans a drive from city A to city B, the device sends its current location in city A to the server, which then analyzes traffic conditions and event information along the route to city B. Upon departure from city A, the device suggests a calculated optimal route using public roads and also provides information on several tourist attractions the user can visit along the way. If traffic congestion occurs along the way, the device notifies the user of alternative routes to support smoother driving.

[0422] The following describes the processing flow.

[0423] Step 1:

[0424] The user enters their destination into the terminal. At this time, they can also set a departure point and intermediate stops as needed.

[0425] Step 2:

[0426] The terminal uses a GPS module to obtain the vehicle's current location and transmits it to the server along with the entered destination.

[0427] Step 3:

[0428] The server collects traffic information and tourist information for destinations and the routes between them from internet-based traffic information APIs and tourist information services.

[0429] Step 4:

[0430] The server analyzes the collected traffic information to check for congestion, traffic disruptions, accidents, and the impact of construction work.

[0431] Step 5:

[0432] The server considers past user behavior and general popularity information to extract data from the acquired tourist information that is likely to interest the user.

[0433] Step 6:

[0434] The server calculates the optimal driving route for the user based on all the collected data. The calculation takes into account factors such as distance, time, traffic conditions, and the enjoyment of sightseeing.

[0435] Step 7:

[0436] The server sends the calculated optimal route and related sightseeing and event information to the terminal.

[0437] Step 8:

[0438] The device provides the user with the calculated optimal route and surrounding information through voice and on-screen displays.

[0439] Step 9:

[0440] The device periodically updates its location information while in motion and communicates with a server to obtain new traffic information.

[0441] Step 10:

[0442] If the server recalculates the route based on new traffic information, the terminal will notify the user of the updated route information and continue the guidance.

[0443] (Example 1)

[0444] 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."

[0445] In modern driver assistance systems, it is difficult to accurately acquire real-time traffic and tourist information and provide optimal route guidance based on the user's past preferences. In particular, many existing systems are unable to adequately propose the most efficient and attractive route for the user in the midst of changing traffic conditions.

[0446] 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.

[0447] In this invention, the server includes measurement means for acquiring location information, information gathering means for collecting external information via the internet, and information processing means for analyzing traffic conditions and tourist information and calculating the optimal route using a generated AI model. This enables real-time optimal route guidance according to the user's destination setting.

[0448] "Location information" refers to data used to identify a geographical location, and typically includes information such as latitude and longitude.

[0449] "Measurement means" refers to the equipment and technology necessary to acquire location information, and includes GPS modules, etc.

[0450] "Information gathering means" refers to the functions and processes for acquiring necessary data and information from external sources via the internet.

[0451] "Information processing means" refers to functions that use collected data to perform necessary calculations and analyses, and derive meaningful results and insights.

[0452] A "generative AI model" refers to an artificial intelligence framework or algorithm designed to perform a specific task based on a large amount of data.

[0453] "Presentation means" refers to methods and devices for conveying calculated results or guidance information to the user, and includes displays and audio guidance systems.

[0454] "Behavioral history" refers to a record of actions and choices a user has made in the past, including data such as route selections and places visited.

[0455] "Real-time updates" refers to a process that immediately corrects information and calculation results in response to changes in the external environment and conditions.

[0456] This system measures location information, collects external information, processes that information, updates it in real time, and provides individual customization to make the user's driving more efficient and comfortable.

[0457] The terminal uses a GPS module installed in the vehicle to accurately determine the user's current location. For example, if the user is in the center of city A, the terminal measures its latitude and longitude. The terminal accepts destination input through a customized interface and transmits it to a server via the internet along with the current location information.

[0458] The server uses information gathering tools to obtain the latest data from external traffic databases and tourism information APIs. Here, the server collects information on traffic accidents, congestion, road construction, and tourist attractions and events. The collected data is then used with the latest generative AI models to calculate the optimal driving route for the user. For example, when traveling to city B at night, it might suggest a different route than a daytime route to avoid congestion.

[0459] The calculated route information is returned to the terminal, which then presents it to the user via voice guidance and a display. This presentation method allows the user to visually and audibly understand route information and traffic conditions while driving. Because the route and guidance information is individually customized based on the user's past travel history, it is possible, for example, to suggest tourist destinations that the user has visited in the past.

[0460] Furthermore, if traffic conditions change in real time while a user is traveling from city A to city B, the server immediately processes the new information, and the terminal updates the route accordingly. This dynamic updating allows users to reach their destination via the most efficient route.

[0461] As a concrete example, by inputting the prompt message, "Calculate the optimal route from city A to city B, and provide guidance information that takes into account tourist spots and event information along the way," into the AI ​​model, the system generates detailed and personalized driving guidance and provides it to the user.

[0462] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0463] Step 1:

[0464] Before starting to drive, the user enters their destination into the terminal. The terminal uses a GPS module to obtain the user's current location. This input information, including the current location's latitude and longitude, and the destination, is then prepared for data transmission to the server.

[0465] Step 2:

[0466] The terminal sends the user's current location and destination information to the server. The input data sent by the terminal acts as a trigger for the server to begin collecting information. The server uses an external information collection API to collect traffic and tourist information and uses this as input data for the next processing step.

[0467] Step 3:

[0468] The server inputs data collected from external sources into a generating AI model. The generating AI model analyzes the input data and calculates the optimal driving route. This calculation process takes into account factors such as traffic congestion, accidents, and tourist attractions. The resulting optimal route is output as route information to the next step.

[0469] Step 4:

[0470] The server sends the calculated optimal route and related information to the terminal. This output information includes detailed route guidance, estimated travel time, and suggested sightseeing spots. The server also references the user's past activity history to customize the guidance information.

[0471] Step 5:

[0472] The terminal presents the received route information to the user via voice and display. The user then drives based on the presented information. Specifically, the navigation voice guidance begins, and a map is displayed on the screen.

[0473] Step 6:

[0474] While driving, the terminal continuously communicates with the server to receive real-time updates on traffic conditions. When new data is received from the server, the terminal calculates the latest route information and notifies the user. This notification is instantly updated via voice and display.

[0475] (Application Example 1)

[0476] 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."

[0477] In autonomous mobile vehicles, efficiently guiding users along sightseeing routes requires not only providing the shortest route but also a route that includes sightseeing and event information. However, existing navigation systems lack the ability to acquire sightseeing information in real time and optimize the driving route based on it. This invention aims to solve this problem.

[0478] 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.

[0479] In this invention, the server includes measuring means for acquiring location information, information gathering means for collecting external information via the internet, information processing means for analyzing traffic conditions and tourist information and calculating the optimal route, and means for generating tourist location guidance information for an autonomous mobile machine. This makes it possible to provide an optimal route that takes tourist information into consideration for an autonomous mobile machine.

[0480] "Means of measurement for acquiring location information" refers to technologies and devices for determining the current geographical location of a moving object.

[0481] "Information gathering means for collecting external information via the Internet" refers to methods and devices for acquiring real-time data via the Internet, including traffic information and tourism information.

[0482] "Information processing means that analyze traffic conditions and tourist information to calculate the optimal route" refers to technology and devices that calculate the best driving route for a moving object based on collected data.

[0483] "Presentation means for providing calculation results and guidance information to the user" refers to devices or technologies that visually or audibly communicate the calculated driving route and related information to the user.

[0484] "Means for generating tourist location guidance information for autonomous driving mobile machines" refers to technologies and devices that generate information about tourist destinations for autonomous driving systems and enable guidance based on that information.

[0485] To implement this invention, a system is constructed using a terminal mounted on a vehicle and a server connected via the internet. The terminal incorporates a high-precision GPS module and a communication module for accurately acquiring location information. It also includes a display device and an audio output device, which can provide the user with visual and audio information.

[0486] The server incorporates AI algorithms to collect real-time traffic and tourism data from various external data sources via the internet and analyze the information. In particular, it is configured to acquire data from traffic information APIs and tourism information platforms. The information processing combines traffic conditions and tourism information to calculate the optimal route. This process also takes into account the user's past travel history, allowing for personalized travel guidance.

[0487] As a concrete example, if a user wishes to stop at tourist attractions while traveling from city A to city B, the server uses an AI algorithm to calculate the optimal route from the user's current location in city A to city B. It consults a database of tourist attractions, suggests multiple stops, and selects the most efficient route. Throughout this process, the route is updated in real time in response to changes in traffic conditions, ensuring the user always receives the best possible guidance.

[0488] By using a generative AI model, the server can interpret natural language prompts and generate guidance information based on appropriate data. For example, when it receives a prompt such as, "Generative AI, calculate the optimal route to provide to the customer based on real-time traffic conditions and tourist information," the AI ​​model analyzes it, extracts the necessary information, and provides it to the user.

[0489] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0490] Step 1:

[0491] The device obtains the user's current location from the GPS module. The input is the location signal from the GPS, and the output is the current latitude and longitude data. This data is sent to the server.

[0492] Step 2:

[0493] The server collects external information via the internet. Input is data obtained from APIs related to tourist attractions and traffic information, and output is real-time traffic and tourist information. The server then integrates this data.

[0494] Step 3:

[0495] Based on external information acquired by the server, an information processing algorithm is used to calculate the optimal driving route. Inputs include traffic and tourist information integrated by the server, the user's current location, and their destination. Output is guidance data for the optimal route. This allows for the suggestion of an efficient route.

[0496] Step 4:

[0497] The server references the user's past behavior history and customizes the guidance information. The input is the user's history data, and the output is customized guidance information. This makes it possible to provide recommended routes based on the user's preferences.

[0498] Step 5:

[0499] The server sends the calculated optimal route and related information to the terminal. The terminal provides the received data to the user through a display and audio output device. The input is the guidance data received from the server, and the output is the visual and auditory guidance to the user.

[0500] Step 6:

[0501] The terminal monitors changes in traffic conditions while in operation and continuously receives the latest information from the server. The input is real-time information from the server, and the output is updated route guidance. This allows for the continuous provision of appropriate guidance tailored to the driving situation.

[0502] 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.

[0503] This invention is implemented using a car navigation system mounted on a vehicle and is a system that combines location information acquisition, external information collection, information processing, and presentation means. Furthermore, it is equipped with an emotion engine that recognizes the user's emotions. This makes it possible to provide personalized route guidance and entertainment that responds to the user's state and emotions while driving.

[0504] Description of the system's programs and processes

[0505] The terminal obtains the user's destination and current location and sends this information to the server. The server collects real-time traffic and tourist information via the internet and calculates the optimal route. In this process, the user's past travel history is also taken into consideration, so personalized information is provided.

[0506] Of particular note is the inclusion of an emotion engine. The device uses cameras and sensors to analyze the user's facial expressions, voice tone, and posture to acquire emotional data. Based on this, for example, if the user is feeling stressed, it will prioritize suggesting relaxing music or routes that avoid traffic jams.

[0507] The server can select information based on emotional data and provide optimal entertainment or relaxation information. For example, if the user is excited, the device may recommend a meditation app or calming music to soothe the atmosphere in the car. In this way, dynamic and useful information can be provided according to the user's emotional state.

[0508] Specific example

[0509] For example, consider a situation where a user is feeling tired after a long drive. The device detects signs of fatigue from the user's facial expression and sends that information to the server. The server sends a route to the device that includes relaxing rest stops and notifies the user. Furthermore, it recommends podcasts or nature sound playlists that are effective for changing one's mood, helping the user reach their destination efficiently and comfortably.

[0510] The following describes the processing flow.

[0511] Step 1:

[0512] The user enters their destination into the car navigation terminal. This information, along with the current location, is sent from the terminal to the server.

[0513] Step 2:

[0514] The device uses its built-in camera and sensors to capture the user's facial expressions and voice tone, and then analyzes this data using an emotion engine.

[0515] Step 3:

[0516] The server collects real-time traffic information, weather information, and information on tourist attractions and events via the internet. This is done using databases and APIs from external information providers.

[0517] Step 4:

[0518] The server analyzes the collected data and calculates the optimal route, taking into account traffic conditions and accident information. Furthermore, it customizes the driving route and suggested information by referring to past user history data.

[0519] Step 5:

[0520] The server receives user emotion data from the emotion engine and adjusts navigation information and entertainment content accordingly. For example, if the user needs to relax, it will suggest a route that includes calming music and relaxation points.

[0521] Step 6:

[0522] The device provides users with calculated route information and customized guidance information via voice and display. This includes estimated arrival times to the destination and information about intermediate stops.

[0523] Step 7:

[0524] While driving, the device periodically monitors the user's emotional state and sends new emotional data to the emotion engine. Meanwhile, if there is new traffic information collected, the server re-evaluates the route and, if necessary, presents the user with the latest route via the device.

[0525] Step 8:

[0526] When the user arrives at their destination, the device records all driving data for future reference. This information can also be used to improve the accuracy of sentiment analysis.

[0527] (Example 2)

[0528] 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."

[0529] Conventional in-vehicle navigation systems have a problem in that they provide static information to users, and do not adequately reflect real-time traffic or tourist information, making it impossible to provide personalized services that respond to the individual user's situation and emotional state. Furthermore, there is a need for dynamic entertainment that guides users along the optimal route while reducing fatigue and stress from long hours of driving.

[0530] 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.

[0531] In this invention, the server includes measuring means for acquiring location information, information gathering means for collecting external information via the internet, information processing means for analyzing traffic conditions and tourist information and calculating the optimal route, emotion analysis means for analyzing the user's facial expressions, tone of voice, and posture and acquiring emotion data, and information selection means for providing appropriate entertainment based on the emotion data. This makes it possible to provide dynamic and personalized services that respond to the user's emotional state.

[0532] "Measuring means for acquiring location information" refers to devices and technologies used to measure the current location of a vehicle or the location of its destination.

[0533] "Information gathering means for collecting external information via the Internet" refers to devices and methods for acquiring external data such as traffic information and tourism information via the Internet.

[0534] "Information processing means for analyzing traffic conditions and tourist information to calculate the optimal route" refers to a processor or program that analyzes acquired information on traffic conditions and tourist destinations to calculate the most efficient travel route.

[0535] "Presentation means for providing calculation results and guidance information to the user" refers to a display or audio output device for displaying the calculated route and travel information in an easy-to-understand manner for the user.

[0536] "An emotional analysis method that analyzes the user's facial expressions, tone of voice, and posture to acquire emotional data" refers to a device or software that uses sensors such as cameras and microphones to analyze the user's facial expressions, tone of voice, and body posture, and converts their emotional state into data.

[0537] "Information selection means for providing appropriate entertainment based on emotional data" refers to a means for selecting and providing music, applications, etc., that correspond to the user's emotional state, based on data obtained from an emotional analysis means.

[0538] This invention is a system implemented using a vehicle-mounted navigation system, combining various elements to personalize the user's driving experience. The main components of the system include GPS technology for acquiring location information, a communication module for collecting external information via internet connectivity, and a processor for processing data and calculating the optimal route. It also incorporates an emotion engine that uses a camera and microphone to capture and analyze facial expressions and voice tone to understand the user's emotions.

[0539] The device uses GPS functionality to determine the user's location and transmits that information to a server. A communication module allows it to connect to the internet in real time and collect external information. This makes it possible to gather the latest traffic and tourist information.

[0540] Based on this data, the server analyzes past behavioral history and real-time emotional data to calculate a personalized and optimal path. Emotional data is analyzed by an emotion engine installed on the device, quantifying the user's emotional state. This data is used to select appropriate entertainment and information.

[0541] For example, if a user feels fatigued while driving, the device's camera captures the user's face, and an emotion engine analyzes it to detect signs of fatigue. Based on this data, the server selects a more comfortable route and suggests relaxing music. Also, if the user wishes to avoid traffic congestion, it presents the optimal route considering real-time information.

[0542] The specific hardware required for this system to operate includes a GPS module, camera, microphone, and communication module, while the software used includes facial recognition software, voice analysis software, and an emotion analysis engine.

[0543] Examples of prompt messages include the following:

[0544] "I've been driving for a long time now and I'm feeling tired, so please suggest a route that includes rest stops where I can relax."

[0545] "I feel stressed while driving. Please recommend some calming music or podcasts."

[0546] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0547] Step 1:

[0548] The terminal uses the vehicle's GPS module to obtain the user's current location. It receives GPS signals as input and calculates the user's latitude and longitude. This allows it to output the user's precise location information. This location information is displayed on the car navigation system screen. Information regarding the current location and destination is also input and stored within the navigation system.

[0549] Step 2:

[0550] The terminal transmits its current location and destination information to the server via an internet connection. It receives location information as input and transmits it via a communication module. The transmitted data arrives at the server as basic data for route calculation.

[0551] Step 3:

[0552] The server collects real-time traffic and tourist information from the internet based on the received location information. It utilizes databases and open APIs to obtain the latest traffic and road information. During this process, it uses information collection algorithms to identify anomalies such as traffic congestion and road closures. As output, it generates organized real-time information.

[0553] Step 4:

[0554] The server calculates the optimal route using collected information and past user behavior history. It considers real-time traffic information and the user's past travel patterns as input. Information processing algorithms are used to analyze this data and output a personalized optimal route. This process also takes into account factors such as favorable travel times and preferred stops.

[0555] Step 5:

[0556] The device uses its built-in camera and microphone to detect the user's facial expressions and tone of voice, and analyzes them with an emotion analysis engine. It takes the user's facial image and speech audio as input for emotion analysis. The analysis results in an output that numerically represents the user's emotional data. This data indicates the user's current emotional state.

[0557] Step 6:

[0558] The server selects information such as entertainment and relaxation suggestions based on emotional data. It receives numerical data obtained from emotional analysis as input and generates customized content tailored to the user's scent. This allows it to output things like relaxing music and suggestions for podcasts of interest.

[0559] Step 7:

[0560] The terminal presents the user with optimal route information and entertainment information provided by the server. This includes visual displays on the navigation screen and music playback via the audio system. Users can instantly experience the suggested content without having to manually select anything.

[0561] (Application Example 2)

[0562] 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."

[0563] In autonomous vehicles, there is a need to provide personalized services to passengers in real time, tailored to their emotional state. However, conventional systems are insufficient in providing information that takes passengers' emotions into account, making it difficult to maximize comfort. Therefore, technology is needed that can appropriately and individually provide visual and auditory content according to the passenger's emotional state.

[0564] 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.

[0565] In this invention, the server includes acquisition means for obtaining location information, collection means for collecting external information through an information network, processing means for analyzing traffic conditions and tourist information and calculating the optimal route, and means for providing personalized visual and auditory content based on emotional state. This enables the real-time provision of personalized visual and auditory content that responds to the user's emotions.

[0566] "Means for acquiring location information" refers to technologies for determining the current location of a vehicle, and includes Global Positioning System (GPS) and other location-determining technologies.

[0567] "Means of collecting external information through information networks" refers to technologies that obtain information such as traffic conditions and tourist information in real time via networks such as the internet.

[0568] "Processing means for analyzing traffic conditions and tourist information to calculate the optimal route" refers to computational technology that analyzes collected information and provides users with the most suitable travel route.

[0569] "Presentation means for providing calculation results and guidance information to users" refers to technology that uses in-vehicle displays or voice guidance systems to communicate calculated route information and related guidance to users.

[0570] "Emotion recognition means for recognizing a user's emotional state" refers to technology that uses cameras and microphones to analyze a user's facial expressions and tone of voice and estimate their emotions.

[0571] "Means of providing personalized visual and auditory content based on emotional state" refers to technologies that take the user's emotions into consideration and provide content such as relaxing music and tourist visual guides through visual displays and sound systems.

[0572] The system for implementing this invention is centered around a terminal installed in a vehicle. The terminal mainly includes acquisition means for acquiring location information, collection means for collecting traffic information and tourist information from the internet, processing means for calculating the optimal route based on the collected information, presentation means for presenting the calculation results, emotion recognition means for recognizing the user's emotional state, and means for providing personalized visual and auditory content based on that emotion.

[0573] The system works as follows: It uses the camera and microphone on the device to capture the user's facial expressions and tone of voice, and analyzes their emotional state. Common emotion analysis software can be used for this emotion recognition. For example, cloud-based facial recognition APIs and voice analysis APIs are used. The analyzed emotion data is transferred to a server. The server selects appropriate visual information and audio content based on this emotion data and sends it to the device.

[0574] When a user uses smart glasses, images of tourist attractions are displayed on the glasses' screen, and appropriate background music is played from the audio output device. This series of operations allows users to have a more comfortable time in the vehicle. The visual display and audio device connect to the terminal via Bluetooth.

[0575] As a concrete example, consider a scenario where a user is feeling fatigued after a long journey. In this case, the device senses the user's fatigue level from their facial expressions and voice and transmits this information to the server. The server then transfers relaxing music or images of tourist attractions to the device and communicates them to the user. This allows the user to reach their destination comfortably.

[0576] An example of a prompt for a generative AI model might be: "Think of a scenario for an application where smart glasses recognize the user's emotions and provide relaxing music and tourist information in real time."

[0577] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0578] Step 1:

[0579] The device obtains location information from the GPS unit. This information is sent to the server and output as data indicating the current location. This allows the server to recognize the vehicle's location.

[0580] Step 2:

[0581] The server collects external information via the internet. Specifically, it acquires traffic data and tourist attraction information. Based on this data, processing begins to calculate the optimal route. The collected data becomes input for data analysis within the server.

[0582] Step 3:

[0583] The server uses an algorithm to calculate the optimal route based on collected traffic data and tourist information. This calculation derives an efficient and comfortable travel route for the user. The calculated route is output as guidance information to the terminal.

[0584] Step 4:

[0585] The device collects the user's facial expressions and voice using its built-in camera and microphone. Emotion recognition software processes this data and analyzes the user's emotional state. The results are then sent to a server as data. This emotional state data serves as the basis for personalizing the user's experience.

[0586] Step 5:

[0587] The server filters visual and auditory information based on the received emotional state data. This filtering process selects personalized entertainment content. The selected content is then sent to the device.

[0588] Step 6:

[0589] The device provides the user with visual and auditory information received from the server. Specifically, visuals of tourist destinations are displayed on the smart glasses' screen, and appropriate music is played through a Bluetooth-connected speaker. This allows the user to have a comfortable experience that responds to their emotions.

[0590] 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.

[0591] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0592] 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.

[0593] [Fourth Embodiment]

[0594] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0595] 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.

[0596] 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).

[0597] 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.

[0598] 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.

[0599] 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).

[0600] 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.

[0601] 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.

[0602] 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.

[0603] 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.

[0604] 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.

[0605] 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.

[0606] 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".

[0607] To implement this invention, a terminal mounted in a vehicle is used, along with a server connected via the internet. The terminal is equipped with a GPS module for acquiring location information, allowing the user's current location to be constantly determined. The server collects external information via the internet and uses it to calculate the optimal driving route.

[0608] Description of the system's programs and processes

[0609] The terminal receives destination information set by the user and sends it to the server along with the current location information. The server collects real-time traffic information and tourist information from multiple data sources on the internet. This allows it to understand traffic congestion, accident information, road construction status, and also obtain tourist and event information.

[0610] The server then uses the collected information to calculate the most efficient driving route for the user. This calculation takes into account factors such as distance, travel time, traffic conditions, and the enjoyment of sightseeing. Furthermore, it can refer to the user's past history data to individually customize the route and guidance information.

[0611] The terminal provides the user with the calculated optimal route and related information via voice guidance and a display. This allows the user to enjoy driving while being aware of the current route, traffic conditions, and tourist information in real time. If traffic conditions change while driving, the terminal receives the latest information from the server, immediately updates the route, and notifies the user.

[0612] Specific example

[0613] For example, if a user plans a drive from city A to city B, the device sends its current location in city A to the server, which then analyzes traffic conditions and event information along the route to city B. Upon departure from city A, the device suggests a calculated optimal route using public roads and also provides information on several tourist attractions the user can visit along the way. If traffic congestion occurs along the way, the device notifies the user of alternative routes to support smoother driving.

[0614] The following describes the processing flow.

[0615] Step 1:

[0616] The user enters their destination into the terminal. At this time, they can also set a departure point and intermediate stops as needed.

[0617] Step 2:

[0618] The terminal uses a GPS module to obtain the vehicle's current location and transmits it to the server along with the entered destination.

[0619] Step 3:

[0620] The server collects traffic information and tourist information for destinations and the routes between them from internet-based traffic information APIs and tourist information services.

[0621] Step 4:

[0622] The server analyzes the collected traffic information to check for congestion, traffic disruptions, accidents, and the impact of construction work.

[0623] Step 5:

[0624] The server considers past user behavior and general popularity information to extract data from the acquired tourist information that is likely to interest the user.

[0625] Step 6:

[0626] The server calculates the optimal driving route for the user based on all the collected data. The calculation takes into account factors such as distance, time, traffic conditions, and the enjoyment of sightseeing.

[0627] Step 7:

[0628] The server sends the calculated optimal route and related sightseeing and event information to the terminal.

[0629] Step 8:

[0630] The device provides the user with the calculated optimal route and surrounding information through voice and on-screen displays.

[0631] Step 9:

[0632] The device periodically updates its location information while in motion and communicates with a server to obtain new traffic information.

[0633] Step 10:

[0634] If the server recalculates the route based on new traffic information, the terminal will notify the user of the updated route information and continue the guidance.

[0635] (Example 1)

[0636] 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".

[0637] In modern driver assistance systems, it is difficult to accurately acquire real-time traffic and tourist information and provide optimal route guidance based on the user's past preferences. In particular, many existing systems are unable to adequately propose the most efficient and attractive route for the user in the midst of changing traffic conditions.

[0638] 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.

[0639] In this invention, the server includes measurement means for acquiring location information, information gathering means for collecting external information via the internet, and information processing means for analyzing traffic conditions and tourist information and calculating the optimal route using a generated AI model. This enables real-time optimal route guidance according to the user's destination setting.

[0640] "Location information" refers to data used to identify a geographical location, and typically includes information such as latitude and longitude.

[0641] "Measurement means" refers to the equipment and technology necessary to acquire location information, and includes GPS modules, etc.

[0642] "Information gathering means" refers to the functions and processes for acquiring necessary data and information from external sources via the internet.

[0643] "Information processing means" refers to functions that use collected data to perform necessary calculations and analyses, and derive meaningful results and insights.

[0644] A "generative AI model" refers to an artificial intelligence framework or algorithm designed to perform a specific task based on a large amount of data.

[0645] "Presentation means" refers to methods and devices for conveying calculated results or guidance information to the user, and includes displays and audio guidance systems.

[0646] "Behavioral history" refers to a record of actions and choices a user has made in the past, including data such as route selections and places visited.

[0647] "Real-time updates" refers to a process that immediately corrects information and calculation results in response to changes in the external environment and conditions.

[0648] This system measures location information, collects external information, processes that information, updates it in real time, and provides individual customization to make the user's driving more efficient and comfortable.

[0649] The terminal uses a GPS module installed in the vehicle to accurately determine the user's current location. For example, if the user is in the center of city A, the terminal measures its latitude and longitude. The terminal accepts destination input through a customized interface and transmits it to a server via the internet along with the current location information.

[0650] The server uses information gathering tools to obtain the latest data from external traffic databases and tourism information APIs. Here, the server collects information on traffic accidents, congestion, road construction, and tourist attractions and events. The collected data is then used with the latest generative AI models to calculate the optimal driving route for the user. For example, when traveling to city B at night, it might suggest a different route than a daytime route to avoid congestion.

[0651] The calculated route information is returned to the terminal, which then presents it to the user via voice guidance and a display. This presentation method allows the user to visually and audibly understand route information and traffic conditions while driving. Because the route and guidance information is individually customized based on the user's past travel history, it is possible, for example, to suggest tourist destinations that the user has visited in the past.

[0652] Furthermore, if traffic conditions change in real time while a user is traveling from city A to city B, the server immediately processes the new information, and the terminal updates the route accordingly. This dynamic updating allows users to reach their destination via the most efficient route.

[0653] As a concrete example, by inputting the prompt message, "Calculate the optimal route from city A to city B, and provide guidance information that takes into account tourist spots and event information along the way," into the AI ​​model, the system generates detailed and personalized driving guidance and provides it to the user.

[0654] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0655] Step 1:

[0656] Before starting to drive, the user enters their destination into the terminal. The terminal uses a GPS module to obtain the user's current location. This input information, including the current location's latitude and longitude, and the destination, is then prepared for data transmission to the server.

[0657] Step 2:

[0658] The terminal sends the user's current location and destination information to the server. The input data sent by the terminal acts as a trigger for the server to begin collecting information. The server uses an external information collection API to collect traffic and tourist information and uses this as input data for the next processing step.

[0659] Step 3:

[0660] The server inputs data collected from external sources into a generating AI model. The generating AI model analyzes the input data and calculates the optimal driving route. This calculation process takes into account factors such as traffic congestion, accidents, and tourist attractions. The resulting optimal route is output as route information to the next step.

[0661] Step 4:

[0662] The server sends the calculated optimal route and related information to the terminal. This output information includes detailed route guidance, estimated travel time, and suggested sightseeing spots. The server also references the user's past activity history to customize the guidance information.

[0663] Step 5:

[0664] The terminal presents the received route information to the user via voice and display. The user then drives based on the presented information. Specifically, the navigation voice guidance begins, and a map is displayed on the screen.

[0665] Step 6:

[0666] While driving, the terminal continuously communicates with the server to receive real-time updates on traffic conditions. When new data is received from the server, the terminal calculates the latest route information and notifies the user. This notification is instantly updated via voice and display.

[0667] (Application Example 1)

[0668] 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".

[0669] In autonomous mobile vehicles, efficiently guiding users along sightseeing routes requires not only providing the shortest route but also a route that includes sightseeing and event information. However, existing navigation systems lack the ability to acquire sightseeing information in real time and optimize the driving route based on it. This invention aims to solve this problem.

[0670] 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.

[0671] In this invention, the server includes measuring means for acquiring location information, information gathering means for collecting external information via the internet, information processing means for analyzing traffic conditions and tourist information and calculating the optimal route, and means for generating tourist location guidance information for an autonomous mobile machine. This makes it possible to provide an optimal route that takes tourist information into consideration for an autonomous mobile machine.

[0672] "Means of measurement for acquiring location information" refers to technologies and devices for determining the current geographical location of a moving object.

[0673] "Information gathering means for collecting external information via the Internet" refers to methods and devices for acquiring real-time data via the Internet, including traffic information and tourism information.

[0674] "Information processing means that analyze traffic conditions and tourist information to calculate the optimal route" refers to technology and devices that calculate the best driving route for a moving object based on collected data.

[0675] "Presentation means for providing calculation results and guidance information to the user" refers to devices or technologies that visually or audibly communicate the calculated driving route and related information to the user.

[0676] "Means for generating tourist location guidance information for autonomous driving mobile machines" refers to technologies and devices that generate information about tourist destinations for autonomous driving systems and enable guidance based on that information.

[0677] To implement this invention, a system is constructed using a terminal mounted on a vehicle and a server connected via the internet. The terminal incorporates a high-precision GPS module and a communication module for accurately acquiring location information. It also includes a display device and an audio output device, which can provide the user with visual and audio information.

[0678] The server incorporates AI algorithms to collect real-time traffic and tourism data from various external data sources via the internet and analyze the information. In particular, it is configured to acquire data from traffic information APIs and tourism information platforms. The information processing combines traffic conditions and tourism information to calculate the optimal route. This process also takes into account the user's past travel history, allowing for personalized travel guidance.

[0679] As a concrete example, if a user wishes to stop at tourist attractions while traveling from city A to city B, the server uses an AI algorithm to calculate the optimal route from the user's current location in city A to city B. It consults a database of tourist attractions, suggests multiple stops, and selects the most efficient route. Throughout this process, the route is updated in real time in response to changes in traffic conditions, ensuring the user always receives the best possible guidance.

[0680] By using a generative AI model, the server can interpret natural language prompts and generate guidance information based on appropriate data. For example, when it receives a prompt such as, "Generative AI, calculate the optimal route to provide to the customer based on real-time traffic conditions and tourist information," the AI ​​model analyzes it, extracts the necessary information, and provides it to the user.

[0681] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0682] Step 1:

[0683] The device obtains the user's current location from the GPS module. The input is the location signal from the GPS, and the output is the current latitude and longitude data. This data is sent to the server.

[0684] Step 2:

[0685] The server collects external information via the internet. Input is data obtained from APIs related to tourist attractions and traffic information, and output is real-time traffic and tourist information. The server then integrates this data.

[0686] Step 3:

[0687] Based on external information acquired by the server, an information processing algorithm is used to calculate the optimal driving route. Inputs include traffic and tourist information integrated by the server, the user's current location, and their destination. Output is guidance data for the optimal route. This allows for the suggestion of an efficient route.

[0688] Step 4:

[0689] The server references the user's past behavior history and customizes the guidance information. The input is the user's history data, and the output is customized guidance information. This makes it possible to provide recommended routes based on the user's preferences.

[0690] Step 5:

[0691] The server sends the calculated optimal route and related information to the terminal. The terminal provides the received data to the user through a display and audio output device. The input is the guidance data received from the server, and the output is the visual and auditory guidance to the user.

[0692] Step 6:

[0693] The terminal monitors changes in traffic conditions while in operation and continuously receives the latest information from the server. The input is real-time information from the server, and the output is updated route guidance. This allows for the continuous provision of appropriate guidance tailored to the driving situation.

[0694] 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.

[0695] This invention is implemented using a car navigation system mounted on a vehicle and is a system that combines location information acquisition, external information collection, information processing, and presentation means. Furthermore, it is equipped with an emotion engine that recognizes the user's emotions. This makes it possible to provide personalized route guidance and entertainment that responds to the user's state and emotions while driving.

[0696] Description of the system's programs and processes

[0697] The terminal obtains the user's destination and current location and sends this information to the server. The server collects real-time traffic and tourist information via the internet and calculates the optimal route. In this process, the user's past travel history is also taken into consideration, so personalized information is provided.

[0698] Of particular note is the inclusion of an emotion engine. The device uses cameras and sensors to analyze the user's facial expressions, voice tone, and posture to acquire emotional data. Based on this, for example, if the user is feeling stressed, it will prioritize suggesting relaxing music or routes that avoid traffic jams.

[0699] The server can select information based on emotional data and provide optimal entertainment or relaxation information. For example, if the user is excited, the device may recommend a meditation app or calming music to soothe the atmosphere in the car. In this way, dynamic and useful information can be provided according to the user's emotional state.

[0700] Specific example

[0701] For example, consider a situation where a user is feeling tired after a long drive. The device detects signs of fatigue from the user's facial expression and sends that information to the server. The server sends a route to the device that includes relaxing rest stops and notifies the user. Furthermore, it recommends podcasts or nature sound playlists that are effective for changing one's mood, helping the user reach their destination efficiently and comfortably.

[0702] The following describes the processing flow.

[0703] Step 1:

[0704] The user enters their destination into the car navigation terminal. This information, along with the current location, is sent from the terminal to the server.

[0705] Step 2:

[0706] The device uses its built-in camera and sensors to capture the user's facial expressions and voice tone, and then analyzes this data using an emotion engine.

[0707] Step 3:

[0708] The server collects real-time traffic information, weather information, and information on tourist attractions and events via the internet. This is done using databases and APIs from external information providers.

[0709] Step 4:

[0710] The server analyzes the collected data and calculates the optimal route, taking into account traffic conditions and accident information. Furthermore, it customizes the driving route and suggested information by referring to past user history data.

[0711] Step 5:

[0712] The server receives user emotion data from the emotion engine and adjusts navigation information and entertainment content accordingly. For example, if the user needs to relax, it will suggest a route that includes calming music and relaxation points.

[0713] Step 6:

[0714] The device provides users with calculated route information and customized guidance information via voice and display. This includes estimated arrival times to the destination and information about intermediate stops.

[0715] Step 7:

[0716] While driving, the device periodically monitors the user's emotional state and sends new emotional data to the emotion engine. Meanwhile, if there is new traffic information collected, the server re-evaluates the route and, if necessary, presents the user with the latest route via the device.

[0717] Step 8:

[0718] When the user arrives at their destination, the device records all driving data for future reference. This information can also be used to improve the accuracy of sentiment analysis.

[0719] (Example 2)

[0720] 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".

[0721] Conventional in-vehicle navigation systems have a problem in that they provide static information to users, and do not adequately reflect real-time traffic or tourist information, making it impossible to provide personalized services that respond to the individual user's situation and emotional state. Furthermore, there is a need for dynamic entertainment that guides users along the optimal route while reducing fatigue and stress from long hours of driving.

[0722] 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.

[0723] In this invention, the server includes measuring means for acquiring location information, information gathering means for collecting external information via the internet, information processing means for analyzing traffic conditions and tourist information and calculating the optimal route, emotion analysis means for analyzing the user's facial expressions, tone of voice, and posture and acquiring emotion data, and information selection means for providing appropriate entertainment based on the emotion data. This makes it possible to provide dynamic and personalized services that respond to the user's emotional state.

[0724] "Measuring means for acquiring location information" refers to devices and technologies used to measure the current location of a vehicle or the location of its destination.

[0725] "Information gathering means for collecting external information via the Internet" refers to devices and methods for acquiring external data such as traffic information and tourism information via the Internet.

[0726] "Information processing means for analyzing traffic conditions and tourist information to calculate the optimal route" refers to a processor or program that analyzes acquired information on traffic conditions and tourist destinations to calculate the most efficient travel route.

[0727] "Presentation means for providing calculation results and guidance information to the user" refers to a display or audio output device for displaying the calculated route and travel information in an easy-to-understand manner for the user.

[0728] "An emotional analysis method that analyzes the user's facial expressions, tone of voice, and posture to acquire emotional data" refers to a device or software that uses sensors such as cameras and microphones to analyze the user's facial expressions, tone of voice, and body posture, and converts their emotional state into data.

[0729] "Information selection means for providing appropriate entertainment based on emotional data" refers to a means for selecting and providing music, applications, etc., that correspond to the user's emotional state, based on data obtained from an emotional analysis means.

[0730] This invention is a system implemented using a vehicle-mounted navigation system, combining various elements to personalize the user's driving experience. The main components of the system include GPS technology for acquiring location information, a communication module for collecting external information via internet connectivity, and a processor for processing data and calculating the optimal route. It also incorporates an emotion engine that uses a camera and microphone to capture and analyze facial expressions and voice tone to understand the user's emotions.

[0731] The device uses GPS functionality to determine the user's location and transmits that information to a server. A communication module allows it to connect to the internet in real time and collect external information. This makes it possible to gather the latest traffic and tourist information.

[0732] Based on this data, the server analyzes past behavioral history and real-time emotional data to calculate a personalized and optimal path. Emotional data is analyzed by an emotion engine installed on the device, quantifying the user's emotional state. This data is used to select appropriate entertainment and information.

[0733] For example, if a user feels fatigued while driving, the device's camera captures the user's face, and an emotion engine analyzes it to detect signs of fatigue. Based on this data, the server selects a more comfortable route and suggests relaxing music. Also, if the user wishes to avoid traffic congestion, it presents the optimal route considering real-time information.

[0734] The specific hardware required for this system to operate includes a GPS module, camera, microphone, and communication module, while the software used includes facial recognition software, voice analysis software, and an emotion analysis engine.

[0735] Examples of prompt messages include the following:

[0736] "I've been driving for a long time now and I'm feeling tired, so please suggest a route that includes rest stops where I can relax."

[0737] "I feel stressed while driving. Please recommend some calming music or podcasts."

[0738] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0739] Step 1:

[0740] The terminal uses the vehicle's GPS module to obtain the user's current location. It receives GPS signals as input and calculates the user's latitude and longitude. This allows it to output the user's precise location information. This location information is displayed on the car navigation system screen. Information regarding the current location and destination is also input and stored within the navigation system.

[0741] Step 2:

[0742] The terminal transmits its current location and destination information to the server via an internet connection. It receives location information as input and transmits it via a communication module. The transmitted data arrives at the server as basic data for route calculation.

[0743] Step 3:

[0744] The server collects real-time traffic and tourist information from the internet based on the received location information. It utilizes databases and open APIs to obtain the latest traffic and road information. During this process, it uses information collection algorithms to identify anomalies such as traffic congestion and road closures. As output, it generates organized real-time information.

[0745] Step 4:

[0746] The server calculates the optimal route using collected information and past user behavior history. It considers real-time traffic information and the user's past travel patterns as input. Information processing algorithms are used to analyze this data and output a personalized optimal route. This process also takes into account factors such as favorable travel times and preferred stops.

[0747] Step 5:

[0748] The device uses its built-in camera and microphone to detect the user's facial expressions and tone of voice, and analyzes them with an emotion analysis engine. It takes the user's facial image and speech audio as input for emotion analysis. The analysis results in an output that numerically represents the user's emotional data. This data indicates the user's current emotional state.

[0749] Step 6:

[0750] The server selects information such as entertainment and relaxation suggestions based on emotional data. It receives numerical data obtained from emotional analysis as input and generates customized content tailored to the user's scent. This allows it to output things like relaxing music and suggestions for podcasts of interest.

[0751] Step 7:

[0752] The terminal presents the user with optimal route information and entertainment information provided by the server. This includes visual displays on the navigation screen and music playback via the audio system. Users can instantly experience the suggested content without having to manually select anything.

[0753] (Application Example 2)

[0754] 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".

[0755] In autonomous vehicles, there is a need to provide personalized services to passengers in real time, tailored to their emotional state. However, conventional systems are insufficient in providing information that takes passengers' emotions into account, making it difficult to maximize comfort. Therefore, technology is needed that can appropriately and individually provide visual and auditory content according to the passenger's emotional state.

[0756] 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.

[0757] In this invention, the server includes acquisition means for obtaining location information, collection means for collecting external information through an information network, processing means for analyzing traffic conditions and tourist information and calculating the optimal route, and means for providing personalized visual and auditory content based on emotional state. This enables the real-time provision of personalized visual and auditory content that responds to the user's emotions.

[0758] "Means for acquiring location information" refers to technologies for determining the current location of a vehicle, and includes Global Positioning System (GPS) and other location-determining technologies.

[0759] "Means of collecting external information through information networks" refers to technologies that obtain information such as traffic conditions and tourist information in real time via networks such as the internet.

[0760] "Processing means for analyzing traffic conditions and tourist information to calculate the optimal route" refers to computational technology that analyzes collected information and provides users with the most suitable travel route.

[0761] "Presentation means for providing calculation results and guidance information to users" refers to technology that uses in-vehicle displays or voice guidance systems to communicate calculated route information and related guidance to users.

[0762] "Emotion recognition means for recognizing a user's emotional state" refers to technology that uses cameras and microphones to analyze a user's facial expressions and tone of voice and estimate their emotions.

[0763] "Means of providing personalized visual and auditory content based on emotional state" refers to technologies that take the user's emotions into consideration and provide content such as relaxing music and tourist visual guides through visual displays and sound systems.

[0764] The system for implementing this invention is centered around a terminal installed in a vehicle. The terminal mainly includes acquisition means for acquiring location information, collection means for collecting traffic information and tourist information from the internet, processing means for calculating the optimal route based on the collected information, presentation means for presenting the calculation results, emotion recognition means for recognizing the user's emotional state, and means for providing personalized visual and auditory content based on that emotion.

[0765] The system works as follows: It uses the camera and microphone on the device to capture the user's facial expressions and tone of voice, and analyzes their emotional state. Common emotion analysis software can be used for this emotion recognition. For example, cloud-based facial recognition APIs and voice analysis APIs are used. The analyzed emotion data is transferred to a server. The server selects appropriate visual information and audio content based on this emotion data and sends it to the device.

[0766] When a user uses smart glasses, images of tourist attractions are displayed on the glasses' screen, and appropriate background music is played from the audio output device. This series of operations allows users to have a more comfortable time in the vehicle. The visual display and audio device connect to the terminal via Bluetooth.

[0767] As a concrete example, consider a scenario where a user is feeling fatigued after a long journey. In this case, the device senses the user's fatigue level from their facial expressions and voice and transmits this information to the server. The server then transfers relaxing music or images of tourist attractions to the device and communicates them to the user. This allows the user to reach their destination comfortably.

[0768] An example of a prompt for a generative AI model might be: "Think of a scenario for an application where smart glasses recognize the user's emotions and provide relaxing music and tourist information in real time."

[0769] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0770] Step 1:

[0771] The device obtains location information from the GPS unit. This information is sent to the server and output as data indicating the current location. This allows the server to recognize the vehicle's location.

[0772] Step 2:

[0773] The server collects external information via the internet. Specifically, it acquires traffic data and tourist attraction information. Based on this data, processing begins to calculate the optimal route. The collected data becomes input for data analysis within the server.

[0774] Step 3:

[0775] The server uses an algorithm to calculate the optimal route based on collected traffic data and tourist information. This calculation derives an efficient and comfortable travel route for the user. The calculated route is output as guidance information to the terminal.

[0776] Step 4:

[0777] The device collects the user's facial expressions and voice using its built-in camera and microphone. Emotion recognition software processes this data and analyzes the user's emotional state. The results are then sent to a server as data. This emotional state data serves as the basis for personalizing the user's experience.

[0778] Step 5:

[0779] The server filters visual and auditory information based on the received emotional state data. This filtering process selects personalized entertainment content. The selected content is then sent to the device.

[0780] Step 6:

[0781] The device provides the user with visual and auditory information received from the server. Specifically, visuals of tourist destinations are displayed on the smart glasses' screen, and appropriate music is played through a Bluetooth-connected speaker. This allows the user to have a comfortable experience that responds to their emotions.

[0782] 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.

[0783] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0784] 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 robot 414.

[0785] 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.

[0786] 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.

[0787] 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.

[0788] 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.

[0789] 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.

[0790] 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."

[0791] 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.

[0792] 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.

[0793] 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.

[0794] 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.

[0795] 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.

[0796] 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.

[0797] 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.

[0798] 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.

[0799] 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.

[0800] 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.

[0801] 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.

[0802] 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.

[0803] The following is further disclosed regarding the embodiments described above.

[0804] (Claim 1)

[0805] A measurement means for acquiring location information,

[0806] Information gathering means for collecting external information via the internet,

[0807] An information processing means that analyzes traffic conditions and tourist information to calculate the optimal route,

[0808] A presentation means for providing calculation results and guidance information to the user,

[0809] A system that includes this.

[0810] (Claim 2)

[0811] The system according to claim 1, further comprising means for updating the route in real time based on collected traffic information.

[0812] (Claim 3)

[0813] The system according to claim 1, further comprising means for customizing guidance information in consideration of the user's past behavior history.

[0814] "Example 1"

[0815] (Claim 1)

[0816] A measurement means for acquiring location information,

[0817] Information gathering means for collecting external information via the internet,

[0818] An information processing means that analyzes traffic conditions and tourist information and calculates the optimal route using a generated AI model,

[0819] A presentation means for providing calculation results and guidance information to the user,

[0820] A means of individually customizing guidance information based on the user's past behavior history,

[0821] ...

[0822] A system that includes this.

[0823] (Claim 2)

[0824] The system according to claim 1, further comprising means for dynamically updating the route in real time based on collected traffic information.

[0825] (Claim 3)

[0826] The system according to claim 1, further comprising means for receiving destination information set by the user and reflecting it in the display means.

[0827] "Application Example 1"

[0828] (Claim 1)

[0829] A measurement means for acquiring location information,

[0830] Information gathering means for collecting external information via the internet,

[0831] An information processing means that analyzes traffic conditions and tourist information to calculate the optimal route,

[0832] A presentation means for providing calculation results and guidance information to the user,

[0833] A means for generating tourist location guidance information for autonomous mobile machines,

[0834] A system that includes this.

[0835] (Claim 2)

[0836] The system according to claim 1, further comprising means for updating the route in real time based on collected traffic information.

[0837] (Claim 3)

[0838] The system according to claim 1, further comprising means for customizing guidance information in consideration of the user's past behavior history.

[0839] "Example 2 of combining an emotion engine"

[0840] (Claim 1)

[0841] A measurement means for acquiring location information,

[0842] Information gathering means for collecting external information via the internet,

[0843] An information processing means that analyzes traffic conditions and tourist information to calculate the optimal route,

[0844] A presentation means for providing calculation results and guidance information to the user,

[0845] An emotion analysis method that analyzes the user's facial expressions, tone of voice, and posture to acquire emotional data,

[0846] Information selection method that provides appropriate entertainment based on emotional data,

[0847] A system that includes this.

[0848] (Claim 2)

[0849] The system according to claim 1, further comprising means for updating the route in real time based on collected traffic information.

[0850] (Claim 3)

[0851] The system according to claim 1, further comprising means for customizing guidance information in consideration of the user's past behavioral history.

[0852] "Application example 2 when combining with an emotional engine"

[0853] (Claim 1)

[0854] A means of acquiring location information,

[0855] A means of collecting external information through an information network,

[0856] A processing means that analyzes traffic conditions and tourist information to calculate the optimal route,

[0857] A means of providing calculation results and guidance information to the user,

[0858] An emotion recognition means for recognizing the emotional state of the user,

[0859] Means for providing individualized visual and auditory content based on emotional state,

[0860] A system that includes this.

[0861] (Claim 2)

[0862] The system according to claim 1, further comprising means for updating the route in real time based on collected traffic information.

[0863] (Claim 3)

[0864] The system according to claim 1, further comprising means for personalizing guidance information by taking into account the user's past behavioral history. [Explanation of Symbols]

[0865] 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 measurement means for acquiring location information, Information gathering means for collecting external information via the internet, An information processing means that analyzes traffic conditions and tourist information to calculate the optimal route, A presentation means for providing calculation results and guidance information to the user, A means for generating tourist location guidance information for autonomous mobile machines, A system that includes this.

2. The system according to claim 1, further comprising means for updating the route in real time based on collected traffic information.

3. The system according to claim 1, further comprising means for customizing guidance information in consideration of the user's past behavior history.

Images