system

Abstract

Provide a system. 【Solution means】 A device for acquiring information, A device for communicating information, A device for acquiring an image, A device for transmitting an image, A device for analyzing information, A device for generating an insurance procedure, A device for presenting the generated procedure, A device for approving the procedure, A device for confirming the completion of information transmission, A device for notifying, A device that automatically acquires data from a vehicle recording device at the time of an accident and automates the insurance procedure, A system including the above.

Description

Technical Field

[0005]

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

Background Art

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] When an automobile accident occurs, it is urgent to reduce the physical and mental burdens faced by the insured. In particular, the insurance procedures after an accident are complicated and time-consuming, which impose a burden on the insured. In such a situation, a system that can proceed with insurance procedures quickly and accurately is required.

Means for Solving the Problems

[0005] The present invention provides a system including information input means, information transmission means, image acquisition means, image transmission means, analysis means, procedure generation means, procedure presentation means, procedure approval means, information transmission completion confirmation means, and notification means. Specifically, the user inputs accident information, acquires images of the accident scene, and transmits them to the system. Based on the received information and images, the analysis means generates data that quickly assesses the accident situation and presents the most appropriate insurance procedure. If the user agrees to this procedure plan, the information is automatically transmitted to the insurance company. This series of processes makes it possible to significantly reduce the burden on the insured.

[0006] An "information input means" is a means of providing an interface that allows users to input accident information and to import that data into the system.

[0007] "Information transmission means" refers to means for transmitting entered accident information to a server or related system.

[0008] "Image acquisition means" refers to a method of capturing images of the accident scene or the extent of vehicle damage using a camera or other device, and making those images available for use within the system.

[0009] "Image transmission means" refers to means for transmitting acquired image data to a server or analysis module.

[0010] An "analysis tool" is a tool equipped with an algorithm for determining the circumstances and severity of an accident based on the received information and image data.

[0011] A "procedure generation method" is a means of creating an optimal insurance procedure plan based on the analysis results and the circumstances of the accident.

[0012] A "procedure presentation method" is a means of clearly displaying the generated insurance procedure plan to the user and prompting them to confirm it.

[0013] "Procedural approval means" refers to the means by which a user performs an operation to approve a presented plan.

[0014] The "information transmission completion confirmation means" is a means for confirming that information has been normally transmitted to a related institution such as an insurance company.

[0015] The "notification means" is a means for notifying the user of the progress status and completion information of the procedure.

Brief Description of the Drawings

[0016] [Figure 1] It is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] It is a conceptual diagram showing an example of the main functions of a data processing device and a smart device according to the first embodiment. [Figure 3] It is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] It is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] It shows an emotion map to which a plurality of emotions are mapped. [Figure 10] It shows an emotion map to which a plurality of emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13]It is a sequence diagram showing the processing flow of the data processing system in Example 2 when combined with an emotion engine. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when combined with an emotion engine.

Embodiments for Carrying Out the Invention

[0017] Hereinafter, an example of an embodiment of the system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0018] First, the terms used in the following description will be explained.

[0019] In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be one arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be one type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include CPU (Central Processing Unit), GPU (Graphics Processing Unit), GPGPU (General-Purpose computing on Graphics Processing Units), APU (Accelerated Processing Unit), etc.

[0020] In the following embodiments, the numbered RAM (Random Access Memory) is a memory where information is temporarily stored and is used as a work memory by the processor.

[0021] 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 disk (e.g., hard disk), or magnetic tape, etc.

[0022] 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).

[0023] 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."

[0024] [First Embodiment]

[0025] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0026] 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.

[0027] 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).

[0028] 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.

[0029] 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.

[0030] 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.

[0031] 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.

[0032] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0033] 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.

[0034] 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.

[0035] 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.

[0036] 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".

[0037] In an embodiment for carrying out the present invention, the accident processing agent system provides a mechanism for expediting insurance procedures through cooperation between a user, a terminal, and a server. When an accident occurs, the user uses a terminal such as a smartphone or computer to input detailed information about the accident into the system. This includes the date and time of the accident, the location, information about the vehicles involved, and a summary of the damage. The terminal receives this input and transmits the information to the system's server.

[0038] Next, the user takes images of the accident scene and the extent of the damage with their device, and these images are also sent to the server. The server processes the received information and images through an analysis system to evaluate the severity of the accident and the extent of the damage. This analysis utilizes historical data and learned models to obtain quick and accurate results.

[0039] Based on the analysis results, the server uses a procedure generation mechanism to construct the optimal insurance procedure plan. This plan includes specific support details such as the need for repairs and the arrangement of a replacement vehicle. The generated plan is presented to the user via a terminal, and the user reviews and approves the plan.

[0040] Once the user approves the plan, the server automatically sends the relevant information to the insurance company's system and begins processing. At this point, a confirmation mechanism verifies that the process has been completed successfully. Subsequently, the user is notified of the processing status and completion information via their device.

[0041] As a concrete example, if a user is involved in a rear-end collision at an intersection, they input accident information on their terminal and send images of the scene to the server. The server analyzes the details of the accident, and if it determines that "only repairs are needed due to minor damage," it presents the user with a suitable procedure. If the user approves this plan, the server quickly sends the necessary information to the insurance company, simplifying the entire process. In this way, the present invention aims to streamline insurance procedures and reduce the burden on users after an accident.

[0042] The following describes the processing flow.

[0043] Step 1:

[0044] When an accident occurs, the user launches a dedicated application using their smartphone or computer. The device displays an interface for entering accident information, and the user enters the date and time, location, vehicle information, and damage details. After entering the information, the device sends this information to the server.

[0045] Step 2:

[0046] The user takes photos of the damage at the accident scene with their smartphone camera. The device provides an interface for selecting the images to send. Once the selection is complete, the device uploads the images to the server.

[0047] Step 3:

[0048] The server passes the received accident information and images to the analysis unit. The analysis unit uses past data and a learned model to evaluate the severity of the accident and the extent of the damage. The evaluation results are then passed to the procedure generation unit.

[0049] Step 4:

[0050] Based on the analysis results, the server uses a procedure generation tool to construct an insurance procedure plan. This plan includes details regarding repair arrangements, the need for a replacement vehicle, and insurance claims.

[0051] Step 5:

[0052] The terminal presents the generated insurance procedure plan to the user. The user can review the plan and approve or modify it. If approved, the user proceeds to the next step.

[0053] Step 6:

[0054] Once user approval is obtained, the server sends the necessary information to the insurance company based on the procedure plan. A confirmation mechanism is used to verify that the transmission was successful.

[0055] Step 7:

[0056] The server notifies the terminal when the transmission is complete, and the terminal provides the user with information on the progress and completion of the procedure. This process significantly reduces the burden on the user after an incident.

[0057] (Example 1)

[0058] 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."

[0059] Improving the efficiency of insurance procedures is a challenge for users in many situations. When an accident occurs, traditional procedures are time-consuming, and information transmission errors and delays in analysis are common. This makes it difficult for victims to receive prompt support, leading to further stress. Therefore, there is a need for effective collection and analysis of accident information, and for the implementation of swift procedures.

[0060] 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.

[0061] In this invention, the server includes means for automatically generating an optimal plan based on analysis results using a generated AI model, interface means for effectively visually presenting the procedure content to the user, and real-time information distribution means. This enables rapid collection and analysis of accident information, efficient automated execution of procedures, and appropriate information notification to the user.

[0062] "Information input means" refers to devices or methods for users to input detailed information about an accident into a system.

[0063] "Information transmission means" refers to a means of communication used to send information from a terminal to a server.

[0064] "Image acquisition means" refers to the devices or functions used by the user to acquire images of the accident scene.

[0065] "Image transmission means" refers to a communication means for sending acquired images to a server.

[0066] "Data analysis means" refers to methods and devices for analyzing the circumstances of an accident based on collected information and images.

[0067] A "procedure generation means" refers to a method or device for automatically generating insurance procedure plans based on analysis results.

[0068] A "procedure presentation means" refers to a device or method for appropriately presenting a generated procedure plan to the user.

[0069] A "procedure approval means" is a device or method for a user to approve a procedure plan presented to them.

[0070] A "means for confirming the completion of information transmission" is a means for confirming that transmitted information has been received correctly and that processing has been completed.

[0071] "Notification means" refers to devices or methods for informing users of the progress or completion status of a procedure.

[0072] "Means for automatically generating an optimal plan based on analysis results using a generative AI model" refers to methods or devices that use artificial intelligence to automatically generate an optimal plan from analysis results.

[0073] "Interface means for effectively visually presenting procedure details to the user" refers to devices or methods for displaying procedure details in an easy-to-understand manner for the user.

[0074] A "real-time information distribution method" refers to a method or device for notifying users of the latest information regarding a procedure in real time.

[0075] This invention is a system designed to improve the efficiency of accident processing, handling everything from information collection and analysis to insurance procedure generation and user notification. Users can utilize this invention by using terminals such as smartphones or computers.

[0076] First, when an accident occurs, the user enters accident information using a device such as a smartphone or computer. This information includes the date and location of the accident, details of the vehicles involved, and a summary of the damage, and this information is sent to the server via the device.

[0077] Next, the user takes photos of the accident scene and the extent of the damage using a smartphone or other device and sends these images to the server. The server uses data analysis tools to analyze the received detailed information and image data. This analysis utilizes generative AI models, which, based on past accident data and learned models, can quickly and accurately assess the severity of the accident.

[0078] The server automatically generates the optimal insurance procedure plan based on the analysis results. The generated plan includes details such as whether repairs are necessary and whether alternative transportation is provided, and is presented to the user's device. The user can review and approve this information on their device.

[0079] Finally, the server sends the user-approved procedure plan to the insurance company's system and begins processing. At this point, a confirmation mechanism is used to verify that the procedure has been successfully completed. Progress and completion information are notified to the user in real time via the terminal, allowing the user to confidently monitor the progress of the procedure.

[0080] As a concrete example, consider a scenario where a user is involved in a rear-end collision at an intersection. The user uses their device to input accident information and sends images of the scene to the server. The server analyzes this information and, if it determines that "only minor damage is required and repairs are needed," generates the optimal insurance procedure plan. Once the user approves the plan, the server quickly sends the necessary information to the insurance company, efficiently completing the entire process.

[0081] An example of a prompt message would be, "Please explain the process by which the user inputs accident information and on-site photos into the system and generates an insurance procedure plan." In this way, the present invention is a system that enables a rapid response after an accident occurs and reduces the burden on the user.

[0082] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0083] Step 1:

[0084] When an accident occurs, the user uses a terminal to input basic accident information. This input includes the date and time of the accident, the location, details of the vehicles involved, and a summary of the damage. This data is entered through a dedicated application on the terminal. The terminal verifies the information entered by the user and prepares it for transmission to the server. At this stage, the terminal checks the data format and ensures that no data is missing.

[0085] Step 2:

[0086] The user uses the device's camera to photograph the accident scene and the extent of the damage. The device manages the captured images as a series of data, compresses them, and encrypts them before transmission. The encrypted image data is then sent from the device to the server. At this stage, the device uses a secure protocol to send the image data to the server.

[0087] Step 3:

[0088] The server begins analyzing the received accident information and image data. The server uses data analysis tools and a generative AI model to analyze the information. The analysis assesses the severity of the accident and the extent of the damage, referencing past accident data. The output includes an accident level and recommendations for necessary countermeasures.

[0089] Step 4:

[0090] The server automatically generates the optimal insurance procedure plan using a procedure generation mechanism based on the analysis results. This process utilizes a generation AI model, and the plan includes factors such as the need for repairs and whether alternative transportation is provided. The output is a personalized support plan tailored to the user's needs.

[0091] Step 5:

[0092] The terminal displays the details of the insurance plan sent from the server to the user. The presentation is visual, and the user interface is designed to allow the user to easily understand the information. The user can review the plan details on the terminal and request approval or changes.

[0093] Step 6:

[0094] After the user approves the plan, the server automatically sends the necessary information to the insurance company's system based on the approved plan. To protect confidential information, the transmitted data is encrypted. After transmission, the server uses a data transmission completion confirmation mechanism to verify that all data has been received accurately.

[0095] Step 7:

[0096] The server notifies the user in real time of the progress and completion of the procedure via the terminal. Notifications are sent via the method chosen by the user, such as push notifications or email, so the user can confidently keep track of the procedure status.

[0097] (Application Example 1)

[0098] 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."

[0099] Current automobile accident response systems suffer from insufficient rapid and accurate information acquisition and automation of insurance procedures in the event of an accident, placing a significant burden on users. Furthermore, the analysis of accident data and the development of insurance plans are not carried out efficiently, potentially leading to delays in procedures. Solving these problems is essential.

[0100] 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.

[0101] In this invention, the server includes a device for acquiring information, a device for communicating information, a device for acquiring images, and a device that works in conjunction with a recording device in an autonomous vehicle to automatically acquire and analyze accident data. This makes it possible to quickly collect information and automatically proceed with insurance procedures when an autonomous vehicle is involved in an accident.

[0102] A "device for acquiring information" is a device for collecting detailed information when an accident occurs, and its role is to acquire necessary data through various sensors and communication functions.

[0103] A "device for communicating information" is a device used to transmit acquired information to an external information processing system or server, thereby enabling rapid data transmission.

[0104] "Image acquisition devices" refer to cameras and video acquisition devices used to visually record the situation at an accident scene, and to collect visual data necessary for accident analysis.

[0105] A "device for analyzing information" is a device that has analytical capabilities to evaluate the details of an accident based on collected information and images, and to determine the necessary procedures.

[0106] A "device for generating insurance procedures" is a device that automatically constructs the optimal insurance procedure plan based on the results of information analysis, thereby reducing the burden on the user.

[0107] A "device that presents generated procedures" is a device that displays the details of an insurance procedure to the user and allows them to confirm and approve it.

[0108] To realize an accident response system for autonomous vehicles, this invention employs a configuration that combines various devices and algorithms. The server receives data in real time from the vehicle's sensors through an information acquisition device. This data includes the date and time of the accident, location information, speed, acceleration, etc.

[0109] The server uses a communication device to send data to an information processing system in the cloud. Next, an image acquisition device uses a camera mounted on the vehicle to capture video footage of the scene and similarly sends it to the server.

[0110] The server analyzes the data and video received by the information analysis device, assesses the severity of the accident, and then the insurance procedure generation device constructs the optimal procedure plan. This plan includes damage assessment, repair needs, and whether a replacement vehicle is needed.

[0111] The generated procedure plan is displayed on the driver's smartphone or vehicle display via a device that presents the generated procedure. The user reviews and approves the procedure, initiating the expedited insurance process.

[0112] As a concrete example, if a vehicle in autonomous driving mode is involved in a minor rear-end collision in an urban area, the system will immediately acquire data from sensors and cameras, generate and present an insurance plan. The user will then review and approve the procedure.

[0113] An example of a prompt message might be: "An autonomous vehicle has been involved in a minor rear-end collision at an intersection. Please quickly analyze the accident situation and consider ways to expedite the insurance process."

[0114] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0115] Step 1:

[0116] The terminal acquires data from the vehicle's sensors in real time. The input is physical information from the sensors, and the output is digital information such as the date and time of the accident, location information, speed, and acceleration. The terminal converts the physical information into digital data and processes it.

[0117] Step 2:

[0118] The terminal uses the vehicle's mounted camera to acquire images of the accident scene. The input is the subject the camera is capturing, and the output is image data. The terminal invokes the camera function, takes a picture, and generates image data.

[0119] Step 3:

[0120] The server receives sensor information and images transmitted from the terminal. The input is images and sensor information transmitted as digital data, and the output is an analyzable dataset. The server receives this data in packet format and stores it internally.

[0121] Step 4:

[0122] The server analyzes images and sensor data to assess the severity of the accident. Inputs are sensor data and image data, and output is the accident assessment result. An AI model is used to analyze the data and quantify the accident severity.

[0123] Step 5:

[0124] The server generates the optimal insurance procedure plan based on the analysis results. The input is the accident assessment result, and the output is the insurance procedure plan. The server applies a plan generation algorithm to construct a detailed plan that includes whether repairs are necessary and whether a replacement vehicle is required.

[0125] Step 6:

[0126] The server sends the generated insurance procedure plan to the terminal. The input is the generated plan, and the output is the communication data to the terminal. The server encodes the plan as a data packet and sends it to the terminal.

[0127] Step 7:

[0128] The user reviews and approves the plan on their device. The input is the plan displayed on the device, and the output is the user's approval information. The user checks the plan details by operating the device and notifies the system of their intention by pressing the approve button.

[0129] Step 8:

[0130] The server receives the approval information and automatically proceeds with the insurance procedure by linking with the insurance company's system. The input is the approval information from the user, and the output is the official procedure data sent to the insurance company. After authentication, the server sends the necessary information to the insurance company's system.

[0131] 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.

[0132] As an embodiment of the present invention, an accident processing agent system integrating an emotion engine supports insurance procedures while considering the user's emotional state. When a user is involved in an accident, the operation of inputting accident information and acquiring and transmitting images using a smartphone or computer terminal is the same as in existing systems. In addition, the terminal acquires data such as voice tone, input speed, and facial expression recognition in order to recognize the user's emotions.

[0133] The server analyzes received accident information and images to determine the severity of the accident. It also uses an emotion engine to assess the user's emotional state, quantifying their stress and anxiety levels. This allows the procedural presentation system to present insurance procedures at the optimal time for the user. If the user is experiencing high stress levels, the system provides more detailed explanations and guidance, or offers simplified procedural options.

[0134] The generated procedure plan is presented to the user via the terminal. The user can review the presentation and approve the plan with emotionally sensitive support. After approval, the server sends the relevant information to the insurance company's system. At this time, a confirmation mechanism is used to verify that the procedure has been successfully completed.

[0135] As a concrete example, consider a scenario where a user is involved in a serious rear-end collision. The user enters accident information into their terminal, and the emotion engine determines that the user is in a high-stress state. Based on the analysis results, the server presents the user with information on emergency contact services and options for express service arrangements. To encourage a calm response, it provides an easy-to-understand, visually represented interface. This allows the user to proceed with the procedures quickly and accurately while reducing stress.

[0136] Thus, the present invention realizes context-aware insurance procedures that take into consideration the user's emotions, providing a smooth process while reducing the burden after an accident.

[0137] The following describes the processing flow.

[0138] Step 1:

[0139] Immediately after an accident occurs, the user launches a dedicated application using their smartphone or computer. The device displays a screen for entering basic information about the accident, and the user enters the date and time, location, vehicle information, and damage details. Once all the information is collected, the device sends it to the server.

[0140] Step 2:

[0141] The user uses the device's camera to photograph the accident scene and vehicle damage. The device uploads the images selected by the user to a server, making the image data available for processing.

[0142] Step 3:

[0143] The device acquires data on voice tone, input speed, and facial expressions in order to obtain user emotion data. The device sends this data to the server.

[0144] Step 4:

[0145] The server passes the received accident information, images, and emotion data to the analysis unit and emotion engine. The analysis unit evaluates the severity of the accident and the extent of the damage, and the emotion engine quantifies the user's emotional state. The evaluation results are then passed to the procedure generation unit.

[0146] Step 5:

[0147] Based on the analysis results and sentiment data, the server uses a procedure generation mechanism to construct an insurance procedure plan. This plan may include arranging repairs, arranging a replacement vehicle, and additional services that take the user's sentiment into consideration.

[0148] Step 6:

[0149] The device presents the generated plan to the user. Depending on the user's emotional state, the explanation may become more detailed or the interface may be simplified. A calming guide message may also be displayed.

[0150] Step 7:

[0151] Once the user reviews and approves the presented plan, the device sends this information to the server. The server receives the approval and sends the necessary procedural information to the insurance company's system.

[0152] Step 8:

[0153] The server uses a means to confirm that all procedures have been completed successfully. The terminal notifies the user of the completion of the procedure and the next steps. This process allows the user to complete the procedure quickly and accurately while reducing emotional burden.

[0154] (Example 2)

[0155] 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".

[0156] Conventional insurance processing systems only consider the severity of an accident, neglecting the emotional state of the user, which can be particularly burdensome for users experiencing high levels of stress. Therefore, there is a need for a method that can expedite and appropriately process insurance claims while reducing the psychological burden on users after an accident.

[0157] 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.

[0158] In this invention, the server includes an emotion evaluation means, an analysis means, and a procedure generation means. This makes it possible to evaluate the user's emotional state and then provide an optimal procedure plan based on the severity of the accident.

[0159] An "information input method" is a system that allows users to input accident information using a digital device.

[0160] "Information transmission means" refers to a mechanism for transferring input data to a server.

[0161] "Image acquisition means" refers to a system for taking photographs or videos to visually record the situation at an accident scene.

[0162] "Image transmission means" refers to a mechanism for sending acquired image data to a server.

[0163] "Analysis means" refers to technology used to determine the circumstances and severity of an accident using transmitted information and image data.

[0164] "Emotional evaluation methods" are technologies that evaluate data such as voice and facial expressions in order to analyze the emotional state of a user.

[0165] "Procedure generation means" refers to a technology that creates an insurance procedure plan suitable for the user based on the analysis results.

[0166] A "procedure presentation method" is a system that presents the generated procedure plan to the user for their confirmation.

[0167] A "procedural approval mechanism" is a system that accepts user approval for a proposed plan.

[0168] "Information transmission completion confirmation means" refers to technology that confirms that the information necessary for the procedure has been successfully transmitted to the insurance company's system.

[0169] A "notification method" is a mechanism for notifying users.

[0170] This invention is a system for assisting with accident processing, enabling insurance procedures to be carried out while taking into account the user's emotional state. When a user is involved in an accident, they input accident information using a terminal such as a smartphone or computer. The terminal acquires information such as location information, accident details, and images via an information input means.

[0171] In this process, image acquisition and image transmission means can be used to take photos and videos of the accident scene and send them to the server. Furthermore, the terminal utilizes emotion evaluation means to assess the user's emotional state, acquiring data such as voice tone, input speed, and facial expressions. This data is then analyzed by an emotion engine.

[0172] The server receives the transmitted information and uses analysis tools to determine the severity of the accident. It also uses data collected by the emotion assessment tool to evaluate the user's emotional state, particularly their stress and anxiety levels. This allows the procedure generation tool to create an optimal insurance plan for the user.

[0173] The generated procedure plan is presented to the user through the procedure presentation mechanism. The user reviews this plan and approves it through the procedure approval mechanism. After approval, the server sends the necessary information for the procedure to the insurance company's system and confirms the completion of the transmission through the information transmission completion confirmation mechanism. The user is notified through the notification mechanism to inform them of the progress of the procedure.

[0174] As a concrete example, consider a scenario where a user is involved in a serious rear-end collision. In this case, when the user enters accident information into their terminal, the emotion engine determines the user's high stress level. As a result, the server provides guidance on emergency contact services and express arrangement services, and presents a procedural plan in an easy-to-understand visual interface. This allows the user to proceed with the procedures quickly and accurately while reducing stress.

[0175] An example of a prompt message for the generating AI model is, "Use the emotion engine to analyze the user's stress level and generate insurance procedure suggestions suitable for a user in a high-stress state." In this way, the present invention enables the realization of advanced insurance procedures that take the user's emotions into consideration.

[0176] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0177] Step 1:

[0178] Users input accident information and images using a smartphone or computer. They input information such as the type of accident, location, and date / time using an information input device, and take photos of the accident scene using an image acquisition device. The input information and acquired images are saved on the device. At this stage, the input consists of text information and image data.

[0179] Step 2:

[0180] The terminal transmits collected information and image data to the server via an information transmission means. This includes transferring data using wireless communication technology. The server receives this data and passes it on to the analysis means. The transmitted data consists of text information and image data, and the received data becomes the input for the server.

[0181] Step 3:

[0182] The server uses analysis tools to analyze the received information and image data to determine the severity of the accident. The analysis includes processing that uses machine learning algorithms to analyze the images and evaluate the extent of damage. The output is numerical or categorical data indicating the severity of the accident.

[0183] Step 4:

[0184] The server uses emotion evaluation tools to analyze the user's voice and facial expression data transmitted from the terminal. The emotion engine analyzes the tone of voice and facial expressions to quantify the user's stress and anxiety levels. The input is voice and facial expression data, and the output is evaluation data indicating the user's emotional state.

[0185] Step 5:

[0186] Based on the analysis results and sentiment assessment, the server uses a procedure generation mechanism to create the optimal insurance procedure plan for the user. This includes operations that derive procedure options according to the severity of the accident and the user's stress level. The output is a specific procedure plan, which is presented to the user.

[0187] Step 6:

[0188] The terminal displays the generated procedure plan to the user via a procedure presentation mechanism. A function is in place to visually present the plan in an easy-to-understand format. The user reviews and approves this plan. The input is the procedure plan, and the output is the user's approval status.

[0189] Step 7:

[0190] After the server receives user approval through the procedure approval mechanism, it sends the procedure information to the insurance company using the information transmission completion confirmation mechanism and confirms its completion. This confirms that the procedure has been successfully completed. The input is the approved procedure information, and the output is the transmission completion confirmation data.

[0191] (Application Example 2)

[0192] 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".

[0193] There is a need to reduce the burden on users in the event of accidents or incidents and to provide appropriate responses quickly. However, conventional systems do not adequately consider the emotional state of users, and lack appropriate support to alleviate stress and anxiety. As a result, users are forced to perform procedures that are complicated and difficult to understand, making it difficult to provide satisfactory service.

[0194] 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.

[0195] In this invention, the server includes an information input means, an image acquisition means, and an emotion evaluation device. This makes it possible to analyze the user's emotional state in real time and evaluate it along with the severity of the accident. This reduces user stress and enables the presentation of flexible and optimal procedural plans tailored to the situation.

[0196] An "information input means" is an interface that allows users to input data about the details of an accident or incident via a terminal.

[0197] "Information transmission means" refers to a function for sending input information to a server, and is a means of transferring data using a communication protocol.

[0198] "Image acquisition means" refers to a device equipped with a camera function for visually recording the user's environment and situation.

[0199] "Image transmission means" refers to a communication function for transferring acquired image data to a server.

[0200] An "analysis device" is a system that automatically analyzes the content based on received information and image data to determine the severity of an accident.

[0201] An "emotion evaluation device" is a device that analyzes a user's emotional state from their facial expressions, voice, etc., and quantifies the results.

[0202] A "procedure generation device" is a system that automatically creates the optimal procedure plan for a user based on analysis results and sentiment evaluation.

[0203] A "procedure presentation device" is an interface that visually displays the generated procedure plan to the user, making it easy to understand.

[0204] A "procedure approval device" is an interactive device that allows users to review and approve a presented procedure plan.

[0205] An "information transmission confirmation device" is a system that records that procedural information has been successfully transmitted after user approval and notifies the user for confirmation.

[0206] A "notification device" is a device equipped with communication functions to inform users of important updates and the progress of procedures.

[0207] This invention is a system that provides a swift and appropriate response while taking emotions into consideration when a user encounters an accident or incident. The terminal collects information from the user, and the server processes it. Specifically, the terminal receives user input information and acquires images with its camera. It records the user's voice through a microphone and analyzes emotions from the voice in real time.

[0208] The server receives this information and first uses an analysis device to assess the severity of the accident. It also uses an emotion assessment device to quantify the user's emotional state and measure stress levels and anxiety. Voice tone analysis and image processing techniques are used in this process.

[0209] Next, the procedure generation device activates and creates a procedure plan optimized for the user's situation. The plan includes emergency response measures and options to simplify the procedure, and can be flexibly adjusted to accommodate emotional fluctuations. The generated plan is displayed on the user terminal by the procedure presentation device, providing an intuitively easy-to-understand interface.

[0210] The user approves the presented plan, which moves the process forward. The process approval device receives the user's approval, and the result is transmitted to the insurance company's system by the information transmission confirmation device. The notification device is responsible for informing the user of the status during and upon completion of the process.

[0211] As a concrete example, if a user is involved in a traffic accident late at night, the device sends information about the accident and the user's high stress level to the server. Based on the analysis, the server provides voice guidance to the user to calm down and presents a visually easy-to-understand procedural plan. Options also include an instant dialing function to emergency contacts and navigation to nearby safe facilities.

[0212] An example of a prompt for a generative AI model is: "A user has been in a traffic accident. Explain how the system recognizes the user's emotions and what procedural plan it will provide." This example demonstrates the specific functions the system will use to reassure the user.

[0213] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0214] Step 1:

[0215] The terminal receives accident information input from the user. The user inputs detailed accident information in text format through the terminal's interface. This information is then prepared for transmission to the server via the input method. The input includes data such as location, type of accident, and number of participants.

[0216] Step 2:

[0217] The device uses its camera to acquire images of the accident scene. The user points the device at the accident scene and takes the necessary photos. The acquired images are prepared to be transferred to the server by an image transmission means. In this step, an image processing algorithm performs basic image adjustments (e.g., automatic exposure and noise reduction).

[0218] Step 3:

[0219] The user's voice is recorded through the device's microphone. The user's words are transcribed in real time, and emotion recognition is performed through voice analysis. The user's stress and anxiety levels are assessed based on their voice tone and speed. The voice data is then sent to a server.

[0220] Step 4:

[0221] The server analyzes the received information and images to assess the severity of the accident. The analysis device takes this data as input, uses an AI model to quantify and classify the degree of impact of the accident. The output is the accident severity level (e.g., minor, moderate, severe).

[0222] Step 5:

[0223] The server's emotion evaluation device quantifies the user's emotional state. Based on the emotional indicators extracted from the voice, it calculates the user's stress level and anxiety index. The output of this step is quantified emotional data.

[0224] Step 6:

[0225] The server's procedure generator creates an optimal procedure plan based on the severity of the incident and the emotional state of the individuals involved. The plan includes recommended responses and specific action guidelines. By using past case data and a generation AI model, individually customized plans are produced.

[0226] Step 7:

[0227] The terminal presents the generated procedure plan to the user. The procedure presentation device displays the plan visually in an easy-to-understand manner, employing a layout that is easily comprehensible to the user. Interface design plays a crucial role in this step.

[0228] Step 8:

[0229] The user reviews and approves the presented procedure plan. The procedure approval device sends the user's approval result to the server. This input initiates the formal procedure process.

[0230] Step 9:

[0231] The server's information transmission confirmation device sends the procedure information to the insurance company's system and confirms that the procedure has been completed. In the example prompt message, the user is informed that the procedure has been "successfully completed." This completed procedure information is recorded in the database.

[0232] Step 10:

[0233] The server's notification system informs the user that the procedure is complete and provides relevant information. The notification is sent to the terminal, and the user receives instructions on what to do next. This step provides reassurance to the user and clarifies what they need to do next.

[0234] 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.

[0235] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0236] 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.

[0237] [Second Embodiment]

[0238] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0239] 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.

[0240] 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).

[0241] 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.

[0242] 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.

[0243] 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).

[0244] 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.

[0245] 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.

[0246] 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.

[0247] 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.

[0248] 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.

[0249] 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".

[0250] In an embodiment for carrying out the present invention, the accident processing agent system provides a mechanism for expediting insurance procedures through cooperation between a user, a terminal, and a server. When an accident occurs, the user uses a terminal such as a smartphone or computer to input detailed information about the accident into the system. This includes the date and time of the accident, the location, information about the vehicles involved, and a summary of the damage. The terminal receives this input and transmits the information to the system's server.

[0251] Next, the user takes images of the accident scene and the extent of the damage with their device, and these images are also sent to the server. The server processes the received information and images through an analysis system to evaluate the severity of the accident and the extent of the damage. This analysis utilizes historical data and learned models to obtain quick and accurate results.

[0252] Based on the analysis results, the server uses a procedure generation mechanism to construct the optimal insurance procedure plan. This plan includes specific support details such as the need for repairs and the arrangement of a replacement vehicle. The generated plan is presented to the user via a terminal, and the user reviews and approves the plan.

[0253] Once the user approves the plan, the server automatically sends the relevant information to the insurance company's system and begins processing. At this point, a confirmation mechanism verifies that the process has been completed successfully. Subsequently, the user is notified of the processing status and completion information via their device.

[0254] As a concrete example, if a user is involved in a rear-end collision at an intersection, they input accident information on their terminal and send images of the scene to the server. The server analyzes the details of the accident, and if it determines that "only repairs are needed due to minor damage," it presents the user with a suitable procedure. If the user approves this plan, the server quickly sends the necessary information to the insurance company, simplifying the entire process. In this way, the present invention aims to streamline insurance procedures and reduce the burden on users after an accident.

[0255] The following describes the processing flow.

[0256] Step 1:

[0257] When an accident occurs, the user launches a dedicated application using their smartphone or computer. The device displays an interface for entering accident information, and the user enters the date and time, location, vehicle information, and damage details. After entering the information, the device sends this information to the server.

[0258] Step 2:

[0259] The user takes photos of the damage at the accident scene with their smartphone camera. The device provides an interface for selecting the images to send. Once the selection is complete, the device uploads the images to the server.

[0260] Step 3:

[0261] The server passes the received accident information and images to the analysis unit. The analysis unit uses past data and a learned model to evaluate the severity of the accident and the extent of the damage. The evaluation results are then passed to the procedure generation unit.

[0262] Step 4:

[0263] Based on the analysis results, the server uses a procedure generation tool to construct an insurance procedure plan. This plan includes details regarding repair arrangements, the need for a replacement vehicle, and insurance claims.

[0264] Step 5:

[0265] The terminal presents the generated insurance procedure plan to the user. The user can review the plan and approve or modify it. If approved, the user proceeds to the next step.

[0266] Step 6:

[0267] Once user approval is obtained, the server sends the necessary information to the insurance company based on the procedure plan. A confirmation mechanism is used to verify that the transmission was successful.

[0268] Step 7:

[0269] The server notifies the terminal when the transmission is complete, and the terminal provides the user with information on the progress and completion of the procedure. This process significantly reduces the burden on the user after an incident.

[0270] (Example 1)

[0271] 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."

[0272] Improving the efficiency of insurance procedures is a challenge for users in many situations. When an accident occurs, traditional procedures are time-consuming, and information transmission errors and delays in analysis are common. This makes it difficult for victims to receive prompt support, leading to further stress. Therefore, there is a need for effective collection and analysis of accident information, and for the implementation of swift procedures.

[0273] 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.

[0274] In this invention, the server includes means for automatically generating an optimal plan based on analysis results using a generated AI model, interface means for effectively visually presenting the procedure content to the user, and real-time information distribution means. This enables rapid collection and analysis of accident information, efficient automated execution of procedures, and appropriate information notification to the user.

[0275] "Information input means" refers to devices or methods for users to input detailed information about an accident into a system.

[0276] "Information transmission means" refers to a means of communication used to send information from a terminal to a server.

[0277] "Image acquisition means" refers to the devices or functions used by the user to acquire images of the accident scene.

[0278] "Image transmission means" refers to a communication means for sending acquired images to a server.

[0279] "Data analysis means" refers to methods and devices for analyzing the circumstances of an accident based on collected information and images.

[0280] The "procedure generation means" is a method or device for automatically generating an insurance procedure plan based on the analysis result.

[0281] The "procedure presentation means" is a device or method for appropriately presenting the generated procedure plan to the user.

[0282] The "procedure approval means" is a device or method for the user to approve the presented procedure plan.

[0283] The "information transmission completion confirmation means" is a means for confirming that the transmitted information has been correctly received and the processing has been completed.

[0284] The "notification means" is a device or method for notifying the user of the progress status and completion information of the procedure.

[0285] The "means for automatically generating an optimal plan based on the analysis result by utilizing the generation AI model" is a method or device for automatically generating an optimal plan from the analysis result using artificial intelligence.

[0286] The "interface means for effectively visually presenting the procedure content to the user" is a device or method for clearly displaying the procedure content to the user.

[0287] The "real-time information distribution means" is a method or device for notifying the user of the latest information of the procedure in real time.

[0288] This invention is a system for improving the efficiency of accident processing, which consistently performs operations from information collection, analysis, generation of insurance procedures, to notification to the user. In order for the user to actually utilize this invention, terminals such as smartphones and computers can be used.

[0289] First, when an accident occurs, the user enters accident information using a device such as a smartphone or computer. This information includes the date and location of the accident, details of the vehicles involved, and a summary of the damage, and this information is sent to the server via the device.

[0290] Next, the user takes photos of the accident scene and the extent of the damage using a smartphone or other device and sends these images to the server. The server uses data analysis tools to analyze the received detailed information and image data. This analysis utilizes generative AI models, which, based on past accident data and learned models, can quickly and accurately assess the severity of the accident.

[0291] The server automatically generates the optimal insurance procedure plan based on the analysis results. The generated plan includes details such as whether repairs are necessary and whether alternative transportation is provided, and is presented to the user's device. The user can review and approve this information on their device.

[0292] Finally, the server sends the user-approved procedure plan to the insurance company's system and begins processing. At this point, a confirmation mechanism is used to verify that the procedure has been successfully completed. Progress and completion information are notified to the user in real time via the terminal, allowing the user to confidently monitor the progress of the procedure.

[0293] As a concrete example, consider a scenario where a user is involved in a rear-end collision at an intersection. The user uses their device to input accident information and sends images of the scene to the server. The server analyzes this information and, if it determines that "only minor damage is required and repairs are needed," generates the optimal insurance procedure plan. Once the user approves the plan, the server quickly sends the necessary information to the insurance company, efficiently completing the entire process.

[0294] An example of a prompt message would be, "Please explain the process by which the user inputs accident information and on-site photos into the system and generates an insurance procedure plan." In this way, the present invention is a system that enables a rapid response after an accident occurs and reduces the burden on the user.

[0295] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0296] Step 1:

[0297] When an accident occurs, the user uses a terminal to input basic accident information. This input includes the date and time of the accident, the location, details of the vehicles involved, and a summary of the damage. This data is entered through a dedicated application on the terminal. The terminal verifies the information entered by the user and prepares it for transmission to the server. At this stage, the terminal checks the data format and ensures that no data is missing.

[0298] Step 2:

[0299] The user uses the device's camera to photograph the accident scene and the extent of the damage. The device manages the captured images as a series of data, compresses them, and encrypts them before transmission. The encrypted image data is then sent from the device to the server. At this stage, the device uses a secure protocol to send the image data to the server.

[0300] Step 3:

[0301] The server begins analyzing the received accident information and image data. The server uses data analysis tools and a generative AI model to analyze the information. The analysis assesses the severity of the accident and the extent of the damage, referencing past accident data. The output includes an accident level and recommendations for necessary countermeasures.

[0302] Step 4:

[0303] The server automatically generates an optimal insurance procedure plan using the procedure generation means based on the analysis results. In this process, the generation AI model is utilized, and factors such as the need for repair and the availability of alternative means of transportation are included in the plan. The output is an individual support plan tailored to the user's needs.

[0304] Step 5:

[0305] The terminal presents the details of the insurance procedure plan sent from the server to the user. The presentation is visual, and the user interface is designed to enable the user to easily understand the information. The user can check the plan content on the terminal and request approval or modification.

[0306] Step 6:

[0307] After the user approves the plan, the server automatically sends the necessary information to the insurance institution's system based on the approved plan. At this time, for the protection of confidential information, the transmitted data is encrypted. After transmission, the server uses the information transmission completion confirmation means to confirm that all data has been accurately received.

[0308] Step 7:

[0309] The server notifies the user in real time about the progress and completion information of the procedure through the terminal. The notification is made in the method selected by the user, such as push notification or email, so that the user can rest assured and grasp the status of the procedure.

[0310] (Application Example 1)

[0311] Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as the "server", and the smart glasses 214 are referred to as the "terminal".

[0312] Current automobile accident response systems suffer from insufficient rapid and accurate information acquisition and automation of insurance procedures in the event of an accident, placing a significant burden on users. Furthermore, the analysis of accident data and the development of insurance plans are not carried out efficiently, potentially leading to delays in procedures. Solving these problems is essential.

[0313] 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.

[0314] In this invention, the server includes a device for acquiring information, a device for communicating information, a device for acquiring images, and a device that works in conjunction with a recording device in an autonomous vehicle to automatically acquire and analyze accident data. This makes it possible to quickly collect information and automatically proceed with insurance procedures when an autonomous vehicle is involved in an accident.

[0315] A "device for acquiring information" is a device for collecting detailed information when an accident occurs, and its role is to acquire necessary data through various sensors and communication functions.

[0316] A "device for communicating information" is a device used to transmit acquired information to an external information processing system or server, thereby enabling rapid data transmission.

[0317] "Image acquisition devices" refer to cameras and video acquisition devices used to visually record the situation at an accident scene, and to collect visual data necessary for accident analysis.

[0318] A "device for analyzing information" is a device that has analytical capabilities to evaluate the details of an accident based on collected information and images, and to determine the necessary procedures.

[0319] A "device for generating insurance procedures" is a device that automatically constructs the optimal insurance procedure plan based on the results of information analysis, thereby reducing the burden on the user.

[0320] A "device that presents generated procedures" is a device that displays the details of an insurance procedure to the user and allows them to confirm and approve it.

[0321] To realize an accident response system for autonomous vehicles, this invention employs a configuration that combines various devices and algorithms. The server receives data in real time from the vehicle's sensors through an information acquisition device. This data includes the date and time of the accident, location information, speed, acceleration, etc.

[0322] The server uses a communication device to send data to an information processing system in the cloud. Next, an image acquisition device uses a camera mounted on the vehicle to capture video footage of the scene and similarly sends it to the server.

[0323] The server analyzes the data and video received by the information analysis device, assesses the severity of the accident, and then the device that generates insurance procedures constructs the optimal procedure plan. This plan includes an assessment of the damage, the need for repairs, and whether a replacement vehicle is needed.

[0324] The generated procedure plan is displayed on the driver's smartphone or vehicle display via a device that presents the generated procedure. The user reviews and approves the procedure, initiating the expedited insurance process.

[0325] As a concrete example, if a vehicle in autonomous driving mode is involved in a minor rear-end collision in an urban area, the system will immediately acquire data from sensors and cameras, generate and present an insurance plan. The user will then review and approve the procedure.

[0326] An example of a prompt message might be: "An autonomous vehicle has been involved in a minor rear-end collision at an intersection. Please quickly analyze the accident situation and consider ways to expedite the insurance process."

[0327] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0328] Step 1:

[0329] The terminal acquires data from the vehicle's sensors in real time. The input is physical information from the sensors, and the output is digital information such as the date and time of the accident, location information, speed, and acceleration. The terminal converts the physical information into digital data and processes it.

[0330] Step 2:

[0331] The terminal uses the vehicle's mounted camera to acquire images of the accident scene. The input is the subject the camera is capturing, and the output is image data. The terminal invokes the camera function, takes a picture, and generates image data.

[0332] Step 3:

[0333] The server receives sensor information and images transmitted from the terminal. The input is images and sensor information transmitted as digital data, and the output is an analyzable dataset. The server receives this data in packet format and stores it internally.

[0334] Step 4:

[0335] The server analyzes images and sensor data to assess the severity of the accident. Inputs are sensor data and image data, and output is the accident assessment result. An AI model is used to analyze the data and quantify the accident severity.

[0336] Step 5:

[0337] The server generates the optimal insurance procedure plan based on the analysis results. The input is the accident assessment result, and the output is the insurance procedure plan. The server applies a plan generation algorithm to construct a detailed plan that includes whether repairs are necessary and whether a replacement vehicle is required.

[0338] Step 6:

[0339] The server sends the generated insurance procedure plan to the terminal. The input is the generated plan, and the output is the communication data to the terminal. The server encodes the plan as a data packet and sends it to the terminal.

[0340] Step 7:

[0341] The user reviews and approves the plan on their device. The input is the plan displayed on the device, and the output is the user's approval information. The user checks the plan details by operating the device and notifies the system of their intention by pressing the approve button.

[0342] Step 8:

[0343] The server receives the approval information and automatically proceeds with the insurance procedure by linking with the insurance company's system. The input is the approval information from the user, and the output is the official procedure data sent to the insurance company. After authentication, the server sends the necessary information to the insurance company's system.

[0344] 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.

[0345] As an embodiment of the present invention, an accident processing agent system integrating an emotion engine supports insurance procedures while considering the user's emotional state. When a user is involved in an accident, the operation of inputting accident information and acquiring and transmitting images using a smartphone or computer terminal is the same as in existing systems. In addition, the terminal acquires data such as voice tone, input speed, and facial expression recognition in order to recognize the user's emotions.

[0346] The server analyzes received accident information and images to determine the severity of the accident. It also uses an emotion engine to assess the user's emotional state, quantifying their stress and anxiety levels. This allows the procedural presentation system to present insurance procedures at the optimal time for the user. If the user is experiencing high stress levels, the system provides more detailed explanations and guidance, or offers simplified procedural options.

[0347] The generated procedure plan is presented to the user via the terminal. The user can review the presentation and approve the plan with emotionally sensitive support. After approval, the server sends the relevant information to the insurance company's system. At this time, a confirmation mechanism is used to verify that the procedure has been successfully completed.

[0348] As a concrete example, consider a scenario where a user is involved in a serious rear-end collision. The user enters accident information into their terminal, and the emotion engine determines that the user is in a high-stress state. Based on the analysis results, the server presents the user with information on emergency contact services and options for express service arrangements. To encourage a calm response, it provides an easy-to-understand, visually represented interface. This allows the user to proceed with the procedures quickly and accurately while reducing stress.

[0349] Thus, the present invention realizes context-aware insurance procedures that take into consideration the user's emotions, providing a smooth procedure while reducing the burden after an accident.

[0350] The following describes the processing flow.

[0351] Step 1:

[0352] Immediately after an accident occurs, the user launches a dedicated application using their smartphone or computer. The device displays a screen for entering basic information about the accident, and the user enters the date and time, location, vehicle information, and damage details. Once all the information is collected, the device sends it to the server.

[0353] Step 2:

[0354] The user uses the device's camera to photograph the accident scene and vehicle damage. The device uploads the images selected by the user to a server, making the image data available for processing.

[0355] Step 3:

[0356] The device acquires data on voice tone, input speed, and facial expressions to obtain user emotion data. The device then sends this data to the server.

[0357] Step 4:

[0358] The server passes the received accident information, images, and emotion data to the analysis unit and emotion engine. The analysis unit evaluates the severity of the accident and the extent of the damage, and the emotion engine quantifies the user's emotional state. The evaluation results are then passed to the procedure generation unit.

[0359] Step 5:

[0360] Based on the analysis results and sentiment data, the server uses a procedure generation mechanism to construct an insurance procedure plan. This plan may include arranging repairs, arranging a replacement vehicle, and additional services that take the user's sentiment into consideration.

[0361] Step 6:

[0362] The device presents the generated plan to the user. Depending on the user's emotional state, the explanation may become more detailed or the interface may be simplified. A calming guide message may also be displayed.

[0363] Step 7:

[0364] Once the user reviews and approves the presented plan, the device sends this information to the server. The server receives the approval and sends the necessary procedural information to the insurance company's system.

[0365] Step 8:

[0366] The server uses a means to confirm that all procedures have been completed successfully. The terminal notifies the user of the completion of the procedure and the next steps. This process allows the user to complete the procedure quickly and accurately while reducing emotional burden.

[0367] (Example 2)

[0368] 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".

[0369] Conventional insurance processing systems only consider the severity of an accident, neglecting the emotional state of the user, which can be particularly burdensome for users experiencing high levels of stress. Therefore, there is a need for a method that can expedite and appropriately process insurance claims while reducing the psychological burden on users after an accident.

[0370] 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.

[0371] In this invention, the server includes an emotion evaluation means, an analysis means, and a procedure generation means. This makes it possible to evaluate the user's emotional state and then provide an optimal procedure plan based on the severity of the accident.

[0372] An "information input method" is a system that allows users to input accident information using a digital device.

[0373] "Information transmission means" refers to a mechanism for transferring input data to a server.

[0374] "Image acquisition means" refers to a system for taking photographs or videos to visually record the situation at an accident scene.

[0375] "Image transmission means" refers to a mechanism for sending acquired image data to a server.

[0376] "Analysis means" refers to technology used to determine the circumstances and severity of an accident using transmitted information and image data.

[0377] "Emotional evaluation methods" are technologies that evaluate data such as voice and facial expressions in order to analyze the emotional state of a user.

[0378] "Procedure generation means" refers to a technology that creates an insurance procedure plan suitable for the user based on the analysis results.

[0379] A "procedure presentation method" is a system that presents the generated procedure plan to the user for their confirmation.

[0380] A "procedural approval mechanism" is a system that accepts user approval for a proposed plan.

[0381] "Information transmission completion confirmation means" refers to technology that confirms that the information necessary for the procedure has been successfully transmitted to the insurance company's system.

[0382] A "notification method" is a mechanism for notifying users.

[0383] This invention is a system for assisting with accident processing, enabling insurance procedures to be carried out while taking into account the user's emotional state. When a user is involved in an accident, they input accident information using a terminal such as a smartphone or computer. The terminal acquires information such as location information, accident details, and images via an information input means.

[0384] In this process, image acquisition and image transmission means can be used to take photos and videos of the accident scene and send them to the server. Furthermore, the terminal utilizes emotion evaluation means to assess the user's emotional state, acquiring data such as voice tone, input speed, and facial expressions. This data is then analyzed by an emotion engine.

[0385] The server receives the transmitted information and uses analysis tools to determine the severity of the accident. It also uses data collected by the emotion assessment tool to evaluate the user's emotional state, particularly their stress and anxiety levels. This allows the procedure generation tool to create an optimal insurance plan for the user.

[0386] The generated procedure plan is presented to the user through the procedure presentation mechanism. The user reviews this plan and approves it through the procedure approval mechanism. After approval, the server sends the necessary information for the procedure to the insurance company's system and confirms the completion of the transmission through the information transmission completion confirmation mechanism. The user is notified through the notification mechanism to inform them of the progress of the procedure.

[0387] As a concrete example, consider a scenario where a user is involved in a serious rear-end collision. In this case, when the user enters accident information into their terminal, the emotion engine determines the user's high stress level. As a result, the server provides guidance on emergency contact services and express arrangement services, and presents a procedural plan in an easy-to-understand visual interface. This allows the user to proceed with the procedures quickly and accurately while reducing stress.

[0388] An example of a prompt message for the generating AI model is, "Use the emotion engine to analyze the user's stress level and generate insurance procedure suggestions suitable for a user in a high-stress state." In this way, the present invention enables the realization of advanced insurance procedures that take the user's emotions into consideration.

[0389] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0390] Step 1:

[0391] Users input accident information and images using a smartphone or computer. They input information such as the type of accident, location, and date / time using an information input device, and take photos of the accident scene using an image acquisition device. The input information and acquired images are saved on the device. At this stage, the input consists of text information and image data.

[0392] Step 2:

[0393] The terminal transmits collected information and image data to the server via an information transmission means. This includes transferring data using wireless communication technology. The server receives this data and passes it on to the analysis means. The transmitted data consists of text information and image data, and the received data becomes the input for the server.

[0394] Step 3:

[0395] The server uses analysis tools to analyze the received information and image data to determine the severity of the accident. The analysis includes processing that uses machine learning algorithms to analyze the images and evaluate the extent of damage. The output is numerical or categorical data indicating the severity of the accident.

[0396] Step 4:

[0397] The server uses emotion evaluation tools to analyze the user's voice and facial expression data transmitted from the terminal. The emotion engine analyzes the tone of voice and facial expressions to quantify the user's stress and anxiety levels. The input is voice and facial expression data, and the output is evaluation data indicating the user's emotional state.

[0398] Step 5:

[0399] Based on the analysis results and sentiment assessment, the server uses a procedure generation mechanism to create an optimal insurance procedure plan for the user. This includes operations that derive procedure options according to the severity of the accident and the user's stress level. The output is a specific procedure plan, which is presented to the user.

[0400] Step 6:

[0401] The terminal displays the generated procedure plan to the user via a procedure presentation mechanism. A function is in place to visually present the plan in an easy-to-understand format. The user reviews and approves this plan. The input is the procedure plan, and the output is the user's approval status.

[0402] Step 7:

[0403] After the server receives user approval through the procedure approval mechanism, it sends the procedure information to the insurance company using the information transmission completion confirmation mechanism and confirms its completion. This confirms that the procedure has been successfully completed. The input is the approved procedure information, and the output is the transmission completion confirmation data.

[0404] (Application Example 2)

[0405] 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 as the "terminal".

[0406] There is a need to reduce the burden on users in the event of accidents or incidents and to provide appropriate responses quickly. However, conventional systems do not adequately consider the emotional state of users, and lack appropriate support to alleviate stress and anxiety. As a result, users are forced to perform procedures that are complicated and difficult to understand, making it difficult to provide satisfactory service.

[0407] 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.

[0408] In this invention, the server includes an information input means, an image acquisition means, and an emotion evaluation device. This makes it possible to analyze the user's emotional state in real time and evaluate it along with the severity of the accident. This reduces user stress and enables the presentation of flexible and optimal procedural plans tailored to the situation.

[0409] An "information input means" is an interface that allows users to input data about the details of an accident or incident via a terminal.

[0410] "Information transmission means" refers to a function for sending input information to a server, and is a means of transferring data using a communication protocol.

[0411] "Image acquisition means" refers to a device equipped with a camera function for visually recording the user's environment and situation.

[0412] "Image transmission means" refers to a communication function for transferring acquired image data to a server.

[0413] An "analysis device" is a system that automatically analyzes the content based on received information and image data to determine the severity of an accident.

[0414] An "emotion evaluation device" is a device that analyzes a user's emotional state from their facial expressions, voice, etc., and quantifies the results.

[0415] A "procedure generation device" is a system that automatically creates the optimal procedure plan for a user based on analysis results and sentiment evaluation.

[0416] A "procedure presentation device" is an interface that visually displays the generated procedure plan to the user, making it easy to understand.

[0417] A "procedure approval device" is an interactive device that allows users to review and approve a presented procedure plan.

[0418] An "information transmission confirmation device" is a system that records that procedural information has been successfully transmitted after user approval and notifies the user for confirmation.

[0419] A "notification device" is a device equipped with communication functions to inform users of important updates and the progress of procedures.

[0420] This invention is a system that provides a swift and appropriate response while taking emotions into consideration when a user encounters an accident or incident. The terminal collects information from the user, and the server processes it. Specifically, the terminal receives user input information and acquires images with its camera. It records the user's voice through a microphone and analyzes emotions from the voice in real time.

[0421] The server receives this information and first uses an analysis device to assess the severity of the accident. It also uses an emotion evaluation device to quantify the user's emotional state and measure stress levels and anxiety. Voice tone analysis and image processing techniques are used in this process.

[0422] Next, the procedure generation device activates and creates a procedure plan optimized for the user's situation. The plan includes emergency response measures and options to simplify the procedure, and can be flexibly adjusted to accommodate emotional fluctuations. The generated plan is displayed on the user terminal by the procedure presentation device, providing an intuitively easy-to-understand interface.

[0423] The user approves the presented plan, which moves the process forward. The process approval device receives the user's approval, and the result is transmitted to the insurance company's system by the information transmission confirmation device. The notification device is responsible for informing the user of the status during and upon completion of the process.

[0424] As a concrete example, if a user is involved in a traffic accident late at night, the device sends information about the accident and the user's high stress level to the server. Based on the analysis, the server provides voice guidance to the user to calm down and presents a visually easy-to-understand procedural plan. Options also include an instant dialing function to emergency contacts and navigation to nearby safe facilities.

[0425] An example of a prompt for a generative AI model is: "A user has been in a traffic accident. Explain how the system recognizes the user's emotions and what procedural plan it will provide." This example demonstrates the specific functions the system will use to reassure the user.

[0426] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0427] Step 1:

[0428] The terminal receives accident information input from the user. The user inputs detailed accident information in text format through the terminal's interface. This information is then prepared for transmission to the server via the input method. The input includes data such as location, type of accident, and number of participants.

[0429] Step 2:

[0430] The device uses its camera to acquire images of the accident scene. The user points the device at the accident scene and takes the necessary photos. The acquired images are prepared to be transferred to the server by an image transmission means. In this step, an image processing algorithm performs basic image adjustments (e.g., automatic exposure and noise reduction).

[0431] Step 3:

[0432] The user's voice is recorded through the device's microphone. The user's words are transcribed in real time, and emotion recognition is performed through voice analysis. The user's stress and anxiety levels are assessed based on their voice tone and speed. The voice data is then sent to a server.

[0433] Step 4:

[0434] The server analyzes the received information and images to assess the severity of the accident. The analysis device takes this data as input, uses an AI model to quantify and classify the degree of impact of the accident. The output is the accident severity level (e.g., minor, moderate, major).

[0435] Step 5:

[0436] The server's emotion evaluation device quantifies the user's emotional state. Based on the emotional indicators extracted from the voice, it calculates the user's stress level and anxiety index. The output at this step is quantified emotional data.

[0437] Step 6:

[0438] The server's procedure generator creates an optimal procedure plan based on the severity of the incident and the emotional state of the individuals involved. The plan includes recommended responses and specific action guidelines. By using past case data and a generation AI model, individually customized plans are produced.

[0439] Step 7:

[0440] The terminal presents the generated procedure plan to the user. The procedure presentation device displays the plan visually in an easy-to-understand manner, employing a layout that is easily comprehensible to the user. Interface design plays a crucial role in this step.

[0441] Step 8:

[0442] The user reviews and approves the presented procedure plan. The procedure approval device sends the user's approval result to the server. This input initiates the formal procedure process.

[0443] Step 9:

[0444] The server's information transmission confirmation device sends the procedure information to the insurance company's system and confirms that the procedure has been completed. In the example prompt message, the user is informed that the procedure has been "successfully completed." This completed procedure information is recorded in the database.

[0445] Step 10:

[0446] The server's notification system informs the user that the procedure is complete and provides relevant information. The notification is sent to the terminal, and the user receives instructions on what to do next. This step provides reassurance to the user and clarifies what they need to do next.

[0447] 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.

[0448] 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.

[0449] 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.

[0450] [Third Embodiment]

[0451] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0452] 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.

[0453] 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).

[0454] 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.

[0455] 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.

[0456] 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).

[0457] 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.

[0458] 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.

[0459] 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.

[0460] 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.

[0461] 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.

[0462] 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".

[0463] In an embodiment for carrying out the present invention, the accident processing agent system provides a mechanism for expediting insurance procedures through cooperation between a user, a terminal, and a server. When an accident occurs, the user uses a terminal such as a smartphone or computer to input detailed information about the accident into the system. This includes the date and time of the accident, the location, information about the vehicles involved, and a summary of the damage. The terminal receives this input and transmits the information to the system's server.

[0464] Next, the user takes images of the accident scene and the extent of the damage with their device, and these images are also sent to the server. The server processes the received information and images through an analysis system to evaluate the severity of the accident and the extent of the damage. This analysis utilizes historical data and learned models to obtain quick and accurate results.

[0465] Based on the analysis results, the server uses a procedure generation mechanism to construct the optimal insurance procedure plan. This plan includes specific support details such as the need for repairs and the arrangement of a replacement vehicle. The generated plan is presented to the user via a terminal, and the user reviews and approves the plan.

[0466] Once the user approves the plan, the server automatically sends the relevant information to the insurance company's system and begins processing. At this point, a confirmation mechanism verifies that the process has been completed successfully. Subsequently, the user is notified of the processing status and completion information via their device.

[0467] As a concrete example, if a user is involved in a rear-end collision at an intersection, they input accident information on their terminal and send images of the scene to the server. The server analyzes the details of the accident, and if it determines that "only repairs are needed due to minor damage," it presents the user with a suitable procedure. If the user approves this plan, the server quickly sends the necessary information to the insurance company, simplifying the entire process. In this way, the present invention aims to streamline insurance procedures and reduce the burden on users after an accident.

[0468] The following describes the processing flow.

[0469] Step 1:

[0470] When an accident occurs, the user launches a dedicated application using their smartphone or computer. The device displays an interface for entering accident information, and the user enters the date and time, location, vehicle information, and damage details. After entering the information, the device sends this information to the server.

[0471] Step 2:

[0472] The user takes photos of the damage at the accident scene with their smartphone camera. The device provides an interface for selecting the images to send. Once the selection is complete, the device uploads the images to the server.

[0473] Step 3:

[0474] The server passes the received accident information and images to the analysis unit. The analysis unit uses past data and a learned model to evaluate the severity of the accident and the extent of the damage. The evaluation results are then passed to the procedure generation unit.

[0475] Step 4:

[0476] Based on the analysis results, the server uses a procedure generation tool to construct an insurance procedure plan. This plan includes details regarding repair arrangements, the need for a replacement vehicle, and insurance claims.

[0477] Step 5:

[0478] The terminal presents the generated insurance procedure plan to the user. The user can review the plan and approve or modify it. If approved, the user proceeds to the next step.

[0479] Step 6:

[0480] Once user approval is obtained, the server sends the necessary information to the insurance company based on the procedure plan. A confirmation mechanism is used to verify that the transmission was successful.

[0481] Step 7:

[0482] The server notifies the terminal when the transmission is complete, and the terminal provides the user with information on the progress and completion of the procedure. This process significantly reduces the burden on the user after an incident.

[0483] (Example 1)

[0484] 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."

[0485] Improving the efficiency of insurance procedures is a challenge for users in many situations. When an accident occurs, traditional procedures are time-consuming, and information transmission errors and delays in analysis are common. This makes it difficult for victims to receive prompt support, leading to further stress. Therefore, there is a need for effective collection and analysis of accident information, and for the implementation of swift procedures.

[0486] 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.

[0487] In this invention, the server includes means for automatically generating an optimal plan based on analysis results using a generated AI model, interface means for effectively visually presenting the procedure content to the user, and real-time information distribution means. This enables rapid collection and analysis of accident information, efficient automated execution of procedures, and appropriate information notification to the user.

[0488] "Information input means" refers to devices or methods for users to input detailed information about an accident into a system.

[0489] "Information transmission means" refers to a means of communication used to send information from a terminal to a server.

[0490] "Image acquisition means" refers to the devices or functions used by the user to acquire images of the accident scene.

[0491] "Image transmission means" refers to a communication means for sending acquired images to a server.

[0492] "Data analysis means" refers to methods and devices for analyzing the circumstances of an accident based on collected information and images.

[0493] A "procedure generation means" refers to a method or device for automatically generating insurance procedure plans based on analysis results.

[0494] A "procedure presentation means" refers to a device or method for appropriately presenting a generated procedure plan to the user.

[0495] A "procedure approval means" is a device or method for a user to approve a procedure plan presented to them.

[0496] A "means for confirming the completion of information transmission" is a means for confirming that transmitted information has been received correctly and that processing has been completed.

[0497] "Notification means" refers to devices or methods for informing users of the progress or completion status of a procedure.

[0498] "Means for automatically generating an optimal plan based on analysis results using a generative AI model" refers to methods or devices that use artificial intelligence to automatically generate an optimal plan from analysis results.

[0499] "Interface means for effectively visually presenting procedure details to the user" refers to devices or methods for displaying procedure details in an easy-to-understand manner for the user.

[0500] A "real-time information distribution method" refers to a method or device for notifying users of the latest information regarding a procedure in real time.

[0501] This invention is a system designed to improve the efficiency of accident processing, handling everything from information collection and analysis to insurance procedure generation and user notification. Users can utilize this invention by using terminals such as smartphones or computers.

[0502] First, when an accident occurs, the user enters accident information using a device such as a smartphone or computer. This information includes the date and location of the accident, details of the vehicles involved, and a summary of the damage, and this information is sent to the server via the device.

[0503] Next, the user takes photos of the accident scene and the extent of the damage using a smartphone or other device and sends these images to the server. The server uses data analysis tools to analyze the received detailed information and image data. This analysis utilizes generative AI models, which, based on past accident data and learned models, can quickly and accurately assess the severity of the accident.

[0504] The server automatically generates the optimal insurance procedure plan based on the analysis results. The generated plan includes details such as whether repairs are necessary and whether alternative transportation is provided, and is presented to the user's device. The user can review and approve this information on their device.

[0505] Finally, the server sends the user-approved procedure plan to the insurance company's system and begins processing. At this point, a confirmation mechanism is used to verify that the procedure has been successfully completed. Progress and completion information are notified to the user in real time via the terminal, allowing the user to confidently monitor the progress of the procedure.

[0506] As a concrete example, consider a scenario where a user is involved in a rear-end collision at an intersection. The user uses their device to input accident information and sends images of the scene to the server. The server analyzes this information and, if it determines that "only minor damage is required and repairs are needed," generates the optimal insurance procedure plan. Once the user approves the plan, the server quickly sends the necessary information to the insurance company, efficiently completing the entire process.

[0507] An example of a prompt message would be, "Please explain the process by which the user inputs accident information and on-site photos into the system and generates an insurance procedure plan." In this way, the present invention is a system that enables a rapid response after an accident occurs and reduces the burden on the user.

[0508] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0509] Step 1:

[0510] When an accident occurs, the user uses a terminal to input basic accident information. This input includes the date and time of the accident, the location, details of the vehicles involved, and a summary of the damage. This data is entered through a dedicated application on the terminal. The terminal verifies the information entered by the user and prepares it for transmission to the server. At this stage, the terminal checks the data format and ensures that no data is missing.

[0511] Step 2:

[0512] The user uses the device's camera to photograph the accident scene and the extent of the damage. The device manages the captured images as a series of data, compresses them, and encrypts them before transmission. The encrypted image data is then sent from the device to the server. At this stage, the device uses a secure protocol to send the image data to the server.

[0513] Step 3:

[0514] The server begins analyzing the received accident information and image data. The server uses data analysis tools and a generative AI model to analyze the information. The analysis assesses the severity of the accident and the extent of the damage, referencing past accident data. The output includes an accident level and recommendations for necessary countermeasures.

[0515] Step 4:

[0516] The server automatically generates the optimal insurance procedure plan using a procedure generation mechanism based on the analysis results. This process utilizes a generation AI model, and the plan includes factors such as the need for repairs and whether alternative transportation is provided. The output is a personalized support plan tailored to the user's needs.

[0517] Step 5:

[0518] The terminal displays the details of the insurance plan sent from the server to the user. The presentation is visual, and the user interface is designed to allow the user to easily understand the information. The user can review the plan details on the terminal and request approval or changes.

[0519] Step 6:

[0520] After the user approves the plan, the server automatically sends the necessary information to the insurance company's system based on the approved plan. To protect confidential information, the transmitted data is encrypted. After transmission, the server uses a data transmission completion confirmation mechanism to verify that all data has been received accurately.

[0521] Step 7:

[0522] The server notifies the user in real time of the progress and completion of the procedure via the terminal. Notifications are sent via the method chosen by the user, such as push notifications or email, so the user can confidently keep track of the procedure status.

[0523] (Application Example 1)

[0524] 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."

[0525] Current automobile accident response systems suffer from insufficient rapid and accurate information acquisition and automation of insurance procedures in the event of an accident, placing a significant burden on users. Furthermore, the analysis of accident data and the development of insurance plans are not carried out efficiently, potentially leading to delays in procedures. Solving these problems is essential.

[0526] 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.

[0527] In this invention, the server includes a device for acquiring information, a device for communicating information, a device for acquiring images, and a device that works in conjunction with a recording device in an autonomous vehicle to automatically acquire and analyze accident data. This makes it possible to quickly collect information and automatically proceed with insurance procedures when an autonomous vehicle is involved in an accident.

[0528] A "device for acquiring information" is a device for collecting detailed information when an accident occurs, and its role is to acquire necessary data through various sensors and communication functions.

[0529] A "device for communicating information" is a device used to transmit acquired information to an external information processing system or server, thereby enabling rapid data transmission.

[0530] "Image acquisition devices" refer to cameras and video acquisition devices used to visually record the situation at an accident scene, and to collect visual data necessary for accident analysis.

[0531] A "device for analyzing information" is a device that has analytical capabilities to evaluate the details of an accident based on collected information and images, and to determine the necessary procedures.

[0532] A "device for generating insurance procedures" is a device that automatically constructs the optimal insurance procedure plan based on the results of information analysis, thereby reducing the burden on the user.

[0533] A "device that presents generated procedures" is a device that displays the details of an insurance procedure to the user and allows them to confirm and approve it.

[0534] To realize an accident response system for autonomous vehicles, this invention employs a configuration that combines various devices and algorithms. The server receives data in real time from the vehicle's sensors through an information acquisition device. This data includes the date and time of the accident, location information, speed, acceleration, etc.

[0535] The server uses a communication device to send data to an information processing system in the cloud. Next, an image acquisition device uses a camera mounted on the vehicle to capture video footage of the scene and similarly sends it to the server.

[0536] The server analyzes the data and video received by the information analysis device, assesses the severity of the accident, and then the insurance procedure generation device constructs the optimal procedure plan. This plan includes damage assessment, repair needs, and whether a replacement vehicle is needed.

[0537] The generated procedure plan is displayed on the driver's smartphone or vehicle display via a device that presents the generated procedure. The user reviews and approves the procedure, initiating the expedited insurance process.

[0538] As a concrete example, if a vehicle in autonomous driving mode is involved in a minor rear-end collision in an urban area, the system will immediately acquire data from sensors and cameras, generate and present an insurance plan. The user will then review and approve the procedure.

[0539] An example of a prompt message might be: "An autonomous vehicle has been involved in a minor rear-end collision at an intersection. Please quickly analyze the accident situation and consider ways to expedite the insurance process."

[0540] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0541] Step 1:

[0542] The terminal acquires data from the vehicle's sensors in real time. The input is physical information from the sensors, and the output is digital information such as the date and time of the accident, location information, speed, and acceleration. The terminal converts the physical information into digital data and processes it.

[0543] Step 2:

[0544] The terminal uses the vehicle's mounted camera to acquire images of the accident scene. The input is the subject the camera is capturing, and the output is image data. The terminal invokes the camera function, takes a picture, and generates image data.

[0545] Step 3:

[0546] The server receives sensor information and images transmitted from the terminal. The input is images and sensor information transmitted as digital data, and the output is an analyzable dataset. The server receives this data in packet format and stores it internally.

[0547] Step 4:

[0548] The server analyzes images and sensor data to assess the severity of the accident. Inputs are sensor data and image data, and output is the accident assessment result. An AI model is used to analyze the data and quantify the accident severity.

[0549] Step 5:

[0550] The server generates the optimal insurance procedure plan based on the analysis results. The input is the accident assessment result, and the output is the insurance procedure plan. The server applies a plan generation algorithm to construct a detailed plan that includes whether repairs are necessary and whether a replacement vehicle is required.

[0551] Step 6:

[0552] The server sends the generated insurance procedure plan to the terminal. The input is the generated plan, and the output is the communication data to the terminal. The server encodes the plan as a data packet and sends it to the terminal.

[0553] Step 7:

[0554] The user reviews and approves the plan on their device. The input is the plan displayed on the device, and the output is the user's approval information. The user checks the plan details by operating the device and notifies the system of their intention by pressing the approve button.

[0555] Step 8:

[0556] The server receives the approval information and automatically proceeds with the insurance procedure by linking with the insurance company's system. The input is the approval information from the user, and the output is the official procedure data sent to the insurance company. After authentication, the server sends the necessary information to the insurance company's system.

[0557] 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.

[0558] As an embodiment of the present invention, an accident processing agent system integrating an emotion engine supports insurance procedures while considering the user's emotional state. When a user is involved in an accident, the operation of inputting accident information and acquiring and transmitting images using a smartphone or computer terminal is the same as in existing systems. In addition, the terminal acquires data such as voice tone, input speed, and facial expression recognition in order to recognize the user's emotions.

[0559] The server analyzes received accident information and images to determine the severity of the accident. It also uses an emotion engine to assess the user's emotional state, quantifying their stress and anxiety levels. This allows the procedural presentation system to present insurance procedures at the optimal time for the user. If the user is experiencing high stress levels, the system provides more detailed explanations and guidance, or offers simplified procedural options.

[0560] The generated procedure plan is presented to the user via the terminal. The user can review the presentation and approve the plan with emotionally sensitive support. After approval, the server sends the relevant information to the insurance company's system. At this time, a confirmation mechanism is used to verify that the procedure has been successfully completed.

[0561] As a concrete example, consider a scenario where a user is involved in a serious rear-end collision. The user enters accident information into their terminal, and the emotion engine determines that the user is in a high-stress state. Based on the analysis results, the server presents the user with information on emergency contact services and options for express service arrangements. To encourage a calm response, it provides an easy-to-understand, visually represented interface. This allows the user to proceed with the procedures quickly and accurately while reducing stress.

[0562] Thus, the present invention realizes context-aware insurance procedures that take into consideration the user's emotions, providing a smooth process while reducing the burden after an accident.

[0563] The following describes the processing flow.

[0564] Step 1:

[0565] Immediately after an accident occurs, the user launches a dedicated application using their smartphone or computer. The device displays a screen for entering basic information about the accident, and the user enters the date and time, location, vehicle information, and damage details. Once all the information is collected, the device sends it to the server.

[0566] Step 2:

[0567] The user uses the device's camera to photograph the accident scene and vehicle damage. The device uploads the images selected by the user to a server, making the image data available for processing.

[0568] Step 3:

[0569] The device acquires data on voice tone, input speed, and facial expressions in order to obtain user emotion data. The device sends this data to the server.

[0570] Step 4:

[0571] The server passes the received accident information, images, and emotion data to the analysis unit and emotion engine. The analysis unit evaluates the severity of the accident and the extent of the damage, and the emotion engine quantifies the user's emotional state. The evaluation results are then passed to the procedure generation unit.

[0572] Step 5:

[0573] Based on the analysis results and sentiment data, the server uses a procedure generation mechanism to construct an insurance procedure plan. This plan may include arranging repairs, arranging a replacement vehicle, and additional services that take the user's sentiment into consideration.

[0574] Step 6:

[0575] The device presents the generated plan to the user. Depending on the user's emotional state, the explanation may become more detailed or the interface may be simplified. A calming guide message may also be displayed.

[0576] Step 7:

[0577] Once the user reviews and approves the presented plan, the device sends this information to the server. The server receives the approval and sends the necessary procedural information to the insurance company's system.

[0578] Step 8:

[0579] The server uses a means to confirm that all procedures have been completed successfully. The terminal notifies the user of the completion of the procedure and the next steps. This process allows the user to complete the procedure quickly and accurately while reducing emotional burden.

[0580] (Example 2)

[0581] 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."

[0582] Conventional insurance processing systems only consider the severity of an accident, neglecting the emotional state of the user, which can be particularly burdensome for users experiencing high levels of stress. Therefore, there is a need for a method that can expedite and appropriately process insurance claims while reducing the psychological burden on users after an accident.

[0583] 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.

[0584] In this invention, the server includes an emotion evaluation means, an analysis means, and a procedure generation means. This makes it possible to evaluate the user's emotional state and then provide an optimal procedure plan based on the severity of the accident.

[0585] An "information input method" is a system that allows users to input accident information using a digital device.

[0586] "Information transmission means" refers to a mechanism for transferring input data to a server.

[0587] "Image acquisition means" refers to a system for taking photographs or videos to visually record the situation at an accident scene.

[0588] "Image transmission means" refers to a mechanism for sending acquired image data to a server.

[0589] "Analysis means" refers to technology used to determine the circumstances and severity of an accident using transmitted information and image data.

[0590] "Emotional evaluation methods" are technologies that evaluate data such as voice and facial expressions in order to analyze the emotional state of a user.

[0591] "Procedure generation means" refers to a technology that creates an insurance procedure plan suitable for the user based on the analysis results.

[0592] A "procedure presentation method" is a system that presents the generated procedure plan to the user for their confirmation.

[0593] A "procedural approval mechanism" is a system that accepts user approval for a proposed plan.

[0594] "Information transmission completion confirmation means" refers to technology that confirms that the information necessary for the procedure has been successfully transmitted to the insurance company's system.

[0595] A "notification method" is a mechanism for notifying users.

[0596] This invention is a system for assisting with accident processing, enabling insurance procedures to be carried out while taking into account the user's emotional state. When a user is involved in an accident, they input accident information using a terminal such as a smartphone or computer. The terminal acquires information such as location information, accident details, and images via an information input means.

[0597] In this process, image acquisition and image transmission means can be used to take photos and videos of the accident scene and send them to the server. Furthermore, the terminal utilizes emotion evaluation means to assess the user's emotional state, acquiring data such as voice tone, input speed, and facial expressions. This data is then analyzed by an emotion engine.

[0598] The server receives the transmitted information and uses analysis tools to determine the severity of the accident. It also uses data collected by the emotion assessment tool to evaluate the user's emotional state, particularly their stress and anxiety levels. This allows the procedure generation tool to create an optimal insurance plan for the user.

[0599] The generated procedure plan is presented to the user through the procedure presentation mechanism. The user reviews this plan and approves it through the procedure approval mechanism. After approval, the server sends the necessary information for the procedure to the insurance company's system and confirms the completion of the transmission through the information transmission completion confirmation mechanism. The user is notified through the notification mechanism to inform them of the progress of the procedure.

[0600] As a concrete example, consider a scenario where a user is involved in a serious rear-end collision. In this case, when the user enters accident information into their terminal, the emotion engine determines the user's high stress level. As a result, the server provides guidance on emergency contact services and express arrangement services, and presents a procedural plan in an easy-to-understand visual interface. This allows the user to proceed with the procedures quickly and accurately while reducing stress.

[0601] An example of a prompt message for the generating AI model is, "Use the emotion engine to analyze the user's stress level and generate insurance procedure suggestions suitable for a user in a high-stress state." In this way, the present invention enables the realization of advanced insurance procedures that take the user's emotions into consideration.

[0602] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0603] Step 1:

[0604] Users input accident information and images using a smartphone or computer. They input information such as the type of accident, location, and date / time using an information input device, and take photos of the accident scene using an image acquisition device. The input information and acquired images are saved on the device. At this stage, the input consists of text information and image data.

[0605] Step 2:

[0606] The terminal transmits collected information and image data to the server via an information transmission means. This includes transferring data using wireless communication technology. The server receives this data and passes it on to the analysis means. The transmitted data consists of text information and image data, and the received data becomes the input for the server.

[0607] Step 3:

[0608] The server uses analysis tools to analyze the received information and image data to determine the severity of the accident. The analysis includes processing that uses machine learning algorithms to analyze the images and evaluate the extent of damage. The output is numerical or categorical data indicating the severity of the accident.

[0609] Step 4:

[0610] The server uses emotion evaluation tools to analyze the user's voice and facial expression data transmitted from the terminal. The emotion engine analyzes the tone of voice and facial expressions to quantify the user's stress and anxiety levels. The input is voice and facial expression data, and the output is evaluation data indicating the user's emotional state.

[0611] Step 5:

[0612] Based on the analysis results and sentiment assessment, the server uses a procedure generation mechanism to create the optimal insurance procedure plan for the user. This includes operations that derive procedure options according to the severity of the accident and the user's stress level. The output is a specific procedure plan, which is presented to the user.

[0613] Step 6:

[0614] The terminal displays the generated procedure plan to the user via a procedure presentation mechanism. A function is in place to visually present the plan in an easy-to-understand format. The user reviews and approves this plan. The input is the procedure plan, and the output is the user's approval status.

[0615] Step 7:

[0616] After the server receives user approval through the procedure approval mechanism, it sends the procedure information to the insurance company using the information transmission completion confirmation mechanism and confirms its completion. This confirms that the procedure has been successfully completed. The input is the approved procedure information, and the output is the transmission completion confirmation data.

[0617] (Application Example 2)

[0618] 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."

[0619] There is a need to reduce the burden on users in the event of accidents or incidents and to provide appropriate responses quickly. However, conventional systems do not adequately consider the emotional state of users, and lack appropriate support to alleviate stress and anxiety. As a result, users are forced to perform procedures that are complicated and difficult to understand, making it difficult to provide satisfactory service.

[0620] 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.

[0621] In this invention, the server includes an information input means, an image acquisition means, and an emotion evaluation device. This makes it possible to analyze the user's emotional state in real time and evaluate it along with the severity of the accident. This reduces user stress and enables the presentation of flexible and optimal procedural plans tailored to the situation.

[0622] An "information input means" is an interface that allows users to input data about the details of an accident or incident via a terminal.

[0623] "Information transmission means" refers to a function for sending input information to a server, and is a means of transferring data using a communication protocol.

[0624] "Image acquisition means" refers to a device equipped with a camera function for visually recording the user's environment and situation.

[0625] "Image transmission means" refers to a communication function for transferring acquired image data to a server.

[0626] An "analysis device" is a system that automatically analyzes the content based on received information and image data to determine the severity of an accident.

[0627] An "emotion evaluation device" is a device that analyzes a user's emotional state from their facial expressions, voice, etc., and quantifies the results.

[0628] A "procedure generation device" is a system that automatically creates the optimal procedure plan for a user based on analysis results and sentiment evaluation.

[0629] A "procedure presentation device" is an interface that visually displays the generated procedure plan to the user, making it easy to understand.

[0630] A "procedure approval device" is an interactive device that allows users to review and approve a presented procedure plan.

[0631] An "information transmission confirmation device" is a system that records that procedural information has been successfully transmitted after user approval and notifies the user for confirmation.

[0632] A "notification device" is a device equipped with communication functions to inform users of important updates and the progress of procedures.

[0633] This invention is a system that provides a swift and appropriate response while taking emotions into consideration when a user encounters an accident or incident. The terminal collects information from the user, and the server processes it. Specifically, the terminal receives user input information and acquires images with its camera. It records the user's voice through a microphone and analyzes emotions from the voice in real time.

[0634] The server receives this information and first uses an analysis device to assess the severity of the accident. It also uses an emotion assessment device to quantify the user's emotional state and measure stress levels and anxiety. Voice tone analysis and image processing techniques are used in this process.

[0635] Next, the procedure generation device activates and creates a procedure plan optimized for the user's situation. The plan includes emergency response measures and options to simplify the procedure, and can be flexibly adjusted to accommodate emotional fluctuations. The generated plan is displayed on the user terminal by the procedure presentation device, providing an intuitively easy-to-understand interface.

[0636] The user approves the presented plan, which moves the process forward. The process approval device receives the user's approval, and the result is transmitted to the insurance company's system by the information transmission confirmation device. The notification device is responsible for informing the user of the status during and upon completion of the process.

[0637] As a concrete example, if a user is involved in a traffic accident late at night, the device sends information about the accident and the user's high stress level to the server. Based on the analysis, the server provides voice guidance to the user to calm down and presents a visually easy-to-understand procedural plan. Options also include an instant dialing function to emergency contacts and navigation to nearby safe facilities.

[0638] An example of a prompt for a generative AI model is: "A user has been in a traffic accident. Explain how the system recognizes the user's emotions and what procedural plan it will provide." This example demonstrates the specific functions the system will use to reassure the user.

[0639] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0640] Step 1:

[0641] The terminal receives accident information input from the user. The user inputs detailed accident information in text format through the terminal's interface. This information is then prepared for transmission to the server via the input method. The input includes data such as location, type of accident, and number of participants.

[0642] Step 2:

[0643] The device uses its camera to acquire images of the accident scene. The user points the device at the accident scene and takes the necessary photos. The acquired images are prepared to be transferred to the server by an image transmission means. In this step, an image processing algorithm performs basic image adjustments (e.g., automatic exposure and noise reduction).

[0644] Step 3:

[0645] The user's voice is recorded through the device's microphone. The user's words are transcribed in real time, and emotion recognition is performed through voice analysis. The user's stress and anxiety levels are assessed based on their voice tone and speed. The voice data is then sent to a server.

[0646] Step 4:

[0647] The server analyzes the received information and images to assess the severity of the accident. The analysis device takes this data as input, uses an AI model to quantify and classify the degree of impact of the accident. The output is the accident severity level (e.g., minor, moderate, severe).

[0648] Step 5:

[0649] The server's emotion evaluation device quantifies the user's emotional state. Based on the emotional indicators extracted from the voice, it calculates the user's stress level and anxiety index. The output of this step is quantified emotional data.

[0650] Step 6:

[0651] The server's procedure generator creates an optimal procedure plan based on the severity of the incident and the emotional state of the individuals involved. The plan includes recommended responses and specific action guidelines. By using past case data and a generation AI model, individually customized plans are produced.

[0652] Step 7:

[0653] The terminal presents the generated procedure plan to the user. The procedure presentation device displays the plan visually in an easy-to-understand manner, employing a layout that is easily comprehensible to the user. Interface design plays a crucial role in this step.

[0654] Step 8:

[0655] The user reviews and approves the presented procedure plan. The procedure approval device sends the user's approval result to the server. This input initiates the formal procedure process.

[0656] Step 9:

[0657] The server's information transmission confirmation device sends the procedure information to the insurance company's system and confirms that the procedure has been completed. In the example prompt message, the user is informed that the procedure has been "successfully completed." This completed procedure information is recorded in the database.

[0658] Step 10:

[0659] The server's notification system informs the user that the procedure is complete and provides relevant information. The notification is sent to the terminal, and the user receives instructions on what to do next. This step provides reassurance to the user and clarifies what they need to do next.

[0660] 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.

[0661] 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.

[0662] 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.

[0663] [Fourth Embodiment]

[0664] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0665] 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.

[0666] 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).

[0667] 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.

[0668] 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.

[0669] 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).

[0670] 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.

[0671] 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.

[0672] 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.

[0673] 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.

[0674] 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.

[0675] 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.

[0676] 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".

[0677] In an embodiment for carrying out the present invention, the accident processing agent system provides a mechanism for expediting insurance procedures through cooperation between a user, a terminal, and a server. When an accident occurs, the user uses a terminal such as a smartphone or computer to input detailed information about the accident into the system. This includes the date and time of the accident, the location, information about the vehicles involved, and a summary of the damage. The terminal receives this input and transmits the information to the system's server.

[0678] Next, the user takes images of the accident scene and the extent of the damage with their device, and these images are also sent to the server. The server processes the received information and images through an analysis system to evaluate the severity of the accident and the extent of the damage. This analysis utilizes historical data and learned models to obtain quick and accurate results.

[0679] Based on the analysis results, the server uses a procedure generation mechanism to construct the optimal insurance procedure plan. This plan includes specific support details such as the need for repairs and the arrangement of a replacement vehicle. The generated plan is presented to the user via a terminal, and the user reviews and approves the plan.

[0680] Once the user approves the plan, the server automatically sends the relevant information to the insurance company's system and begins processing. At this point, a confirmation mechanism verifies that the process has been completed successfully. Subsequently, the user is notified of the processing status and completion information via their device.

[0681] As a concrete example, if a user is involved in a rear-end collision at an intersection, they input accident information on their terminal and send images of the scene to the server. The server analyzes the details of the accident, and if it determines that "only repairs are needed due to minor damage," it presents the user with a suitable procedure. If the user approves this plan, the server quickly sends the necessary information to the insurance company, simplifying the entire process. In this way, the present invention aims to streamline insurance procedures and reduce the burden on users after an accident.

[0682] The following describes the processing flow.

[0683] Step 1:

[0684] When an accident occurs, the user launches a dedicated application using their smartphone or computer. The device displays an interface for entering accident information, and the user enters the date and time, location, vehicle information, and damage details. After entering the information, the device sends this information to the server.

[0685] Step 2:

[0686] The user takes photos of the damage at the accident scene with their smartphone camera. The device provides an interface for selecting the images to send. Once the selection is complete, the device uploads the images to the server.

[0687] Step 3:

[0688] The server passes the received accident information and images to the analysis unit. The analysis unit uses past data and a learned model to evaluate the severity of the accident and the extent of the damage. The evaluation results are then passed to the procedure generation unit.

[0689] Step 4:

[0690] Based on the analysis results, the server uses a procedure generation tool to construct an insurance procedure plan. This plan includes details regarding repair arrangements, the need for a replacement vehicle, and insurance claims.

[0691] Step 5:

[0692] The terminal presents the generated insurance procedure plan to the user. The user can review the plan and approve or modify it. If approved, the user proceeds to the next step.

[0693] Step 6:

[0694] Once user approval is obtained, the server sends the necessary information to the insurance company based on the procedure plan. A confirmation mechanism is used to verify that the transmission was successful.

[0695] Step 7:

[0696] The server notifies the terminal when the transmission is complete, and the terminal provides the user with information on the progress and completion of the procedure. This process significantly reduces the burden on the user after an incident.

[0697] (Example 1)

[0698] 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".

[0699] Improving the efficiency of insurance procedures is a challenge for users in many situations. When an accident occurs, traditional procedures are time-consuming, and information transmission errors and delays in analysis are common. This makes it difficult for victims to receive prompt support, leading to further stress. Therefore, there is a need for effective collection and analysis of accident information, and for the implementation of swift procedures.

[0700] 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.

[0701] In this invention, the server includes means for automatically generating an optimal plan based on analysis results using a generated AI model, interface means for effectively visually presenting the procedure content to the user, and real-time information distribution means. This enables rapid collection and analysis of accident information, efficient automated execution of procedures, and appropriate information notification to the user.

[0702] "Information input means" refers to devices or methods for users to input detailed information about an accident into a system.

[0703] "Information transmission means" refers to a means of communication used to send information from a terminal to a server.

[0704] "Image acquisition means" refers to the devices or functions used by the user to acquire images of the accident scene.

[0705] "Image transmission means" refers to a communication means for sending acquired images to a server.

[0706] "Data analysis means" refers to methods and devices for analyzing the circumstances of an accident based on collected information and images.

[0707] A "procedure generation means" refers to a method or device for automatically generating insurance procedure plans based on analysis results.

[0708] A "procedure presentation means" refers to a device or method for appropriately presenting a generated procedure plan to the user.

[0709] A "procedure approval means" is a device or method for a user to approve a procedure plan presented to them.

[0710] A "means for confirming the completion of information transmission" is a means for confirming that transmitted information has been received correctly and that processing has been completed.

[0711] "Notification means" refers to devices or methods for informing users of the progress or completion status of a procedure.

[0712] "Means for automatically generating an optimal plan based on analysis results using a generative AI model" refers to methods or devices that use artificial intelligence to automatically generate an optimal plan from analysis results.

[0713] "Interface means for effectively visually presenting procedure details to the user" refers to devices or methods for displaying procedure details in an easy-to-understand manner for the user.

[0714] A "real-time information distribution method" refers to a method or device for notifying users of the latest information regarding a procedure in real time.

[0715] This invention is a system designed to improve the efficiency of accident processing, handling everything from information collection and analysis to insurance procedure generation and user notification. Users can utilize this invention by using terminals such as smartphones or computers.

[0716] First, when an accident occurs, the user enters accident information using a device such as a smartphone or computer. This information includes the date and location of the accident, details of the vehicles involved, and a summary of the damage, and this information is sent to the server via the device.

[0717] Next, the user takes photos of the accident scene and the extent of the damage using a smartphone or other device and sends these images to the server. The server uses data analysis tools to analyze the received detailed information and image data. This analysis utilizes generative AI models, which, based on past accident data and learned models, can quickly and accurately assess the severity of the accident.

[0718] The server automatically generates the optimal insurance procedure plan based on the analysis results. The generated plan includes details such as whether repairs are necessary and whether alternative transportation is provided, and is presented to the user's device. The user can review and approve this information on their device.

[0719] Finally, the server sends the user-approved procedure plan to the insurance company's system and begins processing. At this point, a confirmation mechanism is used to verify that the procedure has been successfully completed. Progress and completion information are notified to the user in real time via the terminal, allowing the user to confidently monitor the progress of the procedure.

[0720] As a concrete example, consider a scenario where a user is involved in a rear-end collision at an intersection. The user uses their device to input accident information and sends images of the scene to the server. The server analyzes this information and, if it determines that "only minor damage is required and repairs are needed," generates the optimal insurance procedure plan. Once the user approves the plan, the server quickly sends the necessary information to the insurance company, efficiently completing the entire process.

[0721] An example of a prompt message would be, "Please explain the process by which the user inputs accident information and on-site photos into the system and generates an insurance procedure plan." In this way, the present invention is a system that enables a rapid response after an accident occurs and reduces the burden on the user.

[0722] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0723] Step 1:

[0724] When an accident occurs, the user uses a terminal to input basic accident information. This input includes the date and time of the accident, the location, details of the vehicles involved, and a summary of the damage. This data is entered through a dedicated application on the terminal. The terminal verifies the information entered by the user and prepares it for transmission to the server. At this stage, the terminal checks the data format and ensures that no data is missing.

[0725] Step 2:

[0726] The user uses the device's camera to photograph the accident scene and the extent of the damage. The device manages the captured images as a series of data, compresses them, and encrypts them before transmission. The encrypted image data is then sent from the device to the server. At this stage, the device uses a secure protocol to send the image data to the server.

[0727] Step 3:

[0728] The server begins analyzing the received accident information and image data. The server uses data analysis tools and a generative AI model to analyze the information. The analysis assesses the severity of the accident and the extent of the damage, referencing past accident data. The output includes an accident level and recommendations for necessary countermeasures.

[0729] Step 4:

[0730] The server automatically generates the optimal insurance procedure plan using a procedure generation mechanism based on the analysis results. This process utilizes a generation AI model, and the plan includes factors such as the need for repairs and whether alternative transportation is provided. The output is a personalized support plan tailored to the user's needs.

[0731] Step 5:

[0732] The terminal displays the details of the insurance plan sent from the server to the user. The presentation is visual, and the user interface is designed to allow the user to easily understand the information. The user can review the plan details on the terminal and request approval or changes.

[0733] Step 6:

[0734] After the user approves the plan, the server automatically sends the necessary information to the insurance company's system based on the approved plan. To protect confidential information, the transmitted data is encrypted. After transmission, the server uses a data transmission completion confirmation mechanism to verify that all data has been received accurately.

[0735] Step 7:

[0736] The server notifies the user in real time of the progress and completion of the procedure via the terminal. Notifications are sent via the method chosen by the user, such as push notifications or email, so the user can confidently keep track of the procedure status.

[0737] (Application Example 1)

[0738] 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".

[0739] Current automobile accident response systems suffer from insufficient rapid and accurate information acquisition and automation of insurance procedures in the event of an accident, placing a significant burden on users. Furthermore, the analysis of accident data and the development of insurance plans are not carried out efficiently, potentially leading to delays in procedures. Solving these problems is essential.

[0740] 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.

[0741] In this invention, the server includes a device for acquiring information, a device for communicating information, a device for acquiring images, and a device that works in conjunction with a recording device in an autonomous vehicle to automatically acquire and analyze accident data. This makes it possible to quickly collect information and automatically proceed with insurance procedures when an autonomous vehicle is involved in an accident.

[0742] A "device for acquiring information" is a device for collecting detailed information when an accident occurs, and its role is to acquire necessary data through various sensors and communication functions.

[0743] A "device for communicating information" is a device used to transmit acquired information to an external information processing system or server, thereby enabling rapid data transmission.

[0744] "Image acquisition devices" refer to cameras and video acquisition devices used to visually record the situation at an accident scene, and to collect visual data necessary for accident analysis.

[0745] A "device for analyzing information" is a device that has analytical capabilities to evaluate the details of an accident based on collected information and images, and to determine the necessary procedures.

[0746] A "device for generating insurance procedures" is a device that automatically constructs the optimal insurance procedure plan based on the results of information analysis, thereby reducing the burden on the user.

[0747] A "device that presents generated procedures" is a device that displays the details of an insurance procedure to the user and allows them to confirm and approve it.

[0748] To realize an accident response system for autonomous vehicles, this invention employs a configuration that combines various devices and algorithms. The server receives data in real time from the vehicle's sensors through an information acquisition device. This data includes the date and time of the accident, location information, speed, acceleration, etc.

[0749] The server uses a communication device to send data to an information processing system in the cloud. Next, an image acquisition device uses a camera mounted on the vehicle to capture video footage of the scene and similarly sends it to the server.

[0750] The server analyzes the data and video received by the information analysis device, assesses the severity of the accident, and then the insurance procedure generation device constructs the optimal procedure plan. This plan includes damage assessment, repair needs, and whether a replacement vehicle is needed.

[0751] The generated procedure plan is displayed on the driver's smartphone or vehicle display via a device that presents the generated procedure. The user reviews and approves the procedure, initiating the expedited insurance process.

[0752] As a concrete example, if a vehicle in autonomous driving mode is involved in a minor rear-end collision in an urban area, the system will immediately acquire data from sensors and cameras, generate and present an insurance plan. The user will then review and approve the procedure.

[0753] An example of a prompt message might be: "An autonomous vehicle has been involved in a minor rear-end collision at an intersection. Please quickly analyze the accident situation and consider ways to expedite the insurance process."

[0754] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0755] Step 1:

[0756] The terminal acquires data from the vehicle's sensors in real time. The input is physical information from the sensors, and the output is digital information such as the date and time of the accident, location information, speed, and acceleration. The terminal converts the physical information into digital data and processes it.

[0757] Step 2:

[0758] The terminal uses the vehicle's mounted camera to acquire images of the accident scene. The input is the subject the camera is capturing, and the output is image data. The terminal invokes the camera function, takes a picture, and generates image data.

[0759] Step 3:

[0760] The server receives sensor information and images transmitted from the terminal. The input is images and sensor information transmitted as digital data, and the output is an analyzable dataset. The server receives this data in packet format and stores it internally.

[0761] Step 4:

[0762] The server analyzes images and sensor data to assess the severity of the accident. Inputs are sensor data and image data, and output is the accident assessment result. An AI model is used to analyze the data and quantify the accident severity.

[0763] Step 5:

[0764] The server generates the optimal insurance procedure plan based on the analysis results. The input is the accident assessment result, and the output is the insurance procedure plan. The server applies a plan generation algorithm to construct a detailed plan that includes whether repairs are necessary and whether a replacement vehicle is required.

[0765] Step 6:

[0766] The server sends the generated insurance procedure plan to the terminal. The input is the generated plan, and the output is the communication data to the terminal. The server encodes the plan as a data packet and sends it to the terminal.

[0767] Step 7:

[0768] The user reviews and approves the plan on their device. The input is the plan displayed on the device, and the output is the user's approval information. The user checks the plan details by operating the device and notifies the system of their intention by pressing the approve button.

[0769] Step 8:

[0770] The server receives the approval information and automatically proceeds with the insurance procedure by linking with the insurance company's system. The input is the approval information from the user, and the output is the official procedure data sent to the insurance company. After authentication, the server sends the necessary information to the insurance company's system.

[0771] 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.

[0772] As an embodiment of the present invention, an accident processing agent system integrating an emotion engine supports insurance procedures while considering the user's emotional state. When a user is involved in an accident, the operation of inputting accident information and acquiring and transmitting images using a smartphone or computer terminal is the same as in existing systems. In addition, the terminal acquires data such as voice tone, input speed, and facial expression recognition in order to recognize the user's emotions.

[0773] The server analyzes received accident information and images to determine the severity of the accident. It also uses an emotion engine to assess the user's emotional state, quantifying their stress and anxiety levels. This allows the procedural presentation system to present insurance procedures at the optimal time for the user. If the user is experiencing high stress levels, the system provides more detailed explanations and guidance, or offers simplified procedural options.

[0774] The generated procedure plan is presented to the user via the terminal. The user can review the presentation and approve the plan with emotionally sensitive support. After approval, the server sends the relevant information to the insurance company's system. At this time, a confirmation mechanism is used to verify that the procedure has been successfully completed.

[0775] As a concrete example, consider a scenario where a user is involved in a serious rear-end collision. The user enters accident information into their terminal, and the emotion engine determines that the user is in a high-stress state. Based on the analysis results, the server presents the user with information on emergency contact services and options for express service arrangements. To encourage a calm response, it provides an easy-to-understand, visually represented interface. This allows the user to proceed with the procedures quickly and accurately while reducing stress.

[0776] Thus, the present invention realizes context-aware insurance procedures that take into consideration the user's emotions, providing a smooth process while reducing the burden after an accident.

[0777] The following describes the processing flow.

[0778] Step 1:

[0779] Immediately after an accident occurs, the user launches a dedicated application using their smartphone or computer. The device displays a screen for entering basic information about the accident, and the user enters the date and time, location, vehicle information, and damage details. Once all the information is collected, the device sends it to the server.

[0780] Step 2:

[0781] The user uses the device's camera to photograph the accident scene and vehicle damage. The device uploads the images selected by the user to a server, making the image data available for processing.

[0782] Step 3:

[0783] The device acquires data on voice tone, input speed, and facial expressions in order to obtain user emotion data. The device sends this data to the server.

[0784] Step 4:

[0785] The server passes the received accident information, images, and emotion data to the analysis unit and emotion engine. The analysis unit evaluates the severity of the accident and the extent of the damage, and the emotion engine quantifies the user's emotional state. The evaluation results are then passed to the procedure generation unit.

[0786] Step 5:

[0787] Based on the analysis results and sentiment data, the server uses a procedure generation mechanism to construct an insurance procedure plan. This plan may include arranging repairs, arranging a replacement vehicle, and additional services that take the user's sentiment into consideration.

[0788] Step 6:

[0789] The device presents the generated plan to the user. Depending on the user's emotional state, the explanation may become more detailed or the interface may be simplified. A calming guide message may also be displayed.

[0790] Step 7:

[0791] Once the user reviews and approves the presented plan, the device sends this information to the server. The server receives the approval and sends the necessary procedural information to the insurance company's system.

[0792] Step 8:

[0793] The server uses a means to confirm that all procedures have been completed successfully. The terminal notifies the user of the completion of the procedure and the next steps. This process allows the user to complete the procedure quickly and accurately while reducing emotional burden.

[0794] (Example 2)

[0795] 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".

[0796] Conventional insurance processing systems only consider the severity of an accident, neglecting the emotional state of the user, which can be particularly burdensome for users experiencing high levels of stress. Therefore, there is a need for a method that can expedite and appropriately process insurance claims while reducing the psychological burden on users after an accident.

[0797] 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.

[0798] In this invention, the server includes an emotion evaluation means, an analysis means, and a procedure generation means. This makes it possible to evaluate the user's emotional state and then provide an optimal procedure plan based on the severity of the accident.

[0799] An "information input method" is a system that allows users to input accident information using a digital device.

[0800] "Information transmission means" refers to a mechanism for transferring input data to a server.

[0801] "Image acquisition means" refers to a system for taking photographs or videos to visually record the situation at an accident scene.

[0802] "Image transmission means" refers to a mechanism for sending acquired image data to a server.

[0803] "Analysis means" refers to technology used to determine the circumstances and severity of an accident using transmitted information and image data.

[0804] "Emotional evaluation methods" are technologies that evaluate data such as voice and facial expressions in order to analyze the emotional state of a user.

[0805] "Procedure generation means" refers to a technology that creates an insurance procedure plan suitable for the user based on the analysis results.

[0806] A "procedure presentation method" is a system that presents the generated procedure plan to the user for their confirmation.

[0807] A "procedural approval mechanism" is a system that accepts user approval for a proposed plan.

[0808] "Information transmission completion confirmation means" refers to technology that confirms that the information necessary for the procedure has been successfully transmitted to the insurance company's system.

[0809] A "notification method" is a mechanism for notifying users.

[0810] This invention is a system for assisting with accident processing, enabling insurance procedures to be carried out while taking into account the user's emotional state. When a user is involved in an accident, they input accident information using a terminal such as a smartphone or computer. The terminal acquires information such as location information, accident details, and images via an information input means.

[0811] In this process, image acquisition and image transmission means can be used to take photos and videos of the accident scene and send them to the server. Furthermore, the terminal utilizes emotion evaluation means to assess the user's emotional state, acquiring data such as voice tone, input speed, and facial expressions. This data is then analyzed by an emotion engine.

[0812] The server receives the transmitted information and uses analysis tools to determine the severity of the accident. It also uses data collected by the emotion assessment tool to evaluate the user's emotional state, particularly their stress and anxiety levels. This allows the procedure generation tool to create an optimal insurance plan for the user.

[0813] The generated procedure plan is presented to the user through the procedure presentation mechanism. The user reviews this plan and approves it through the procedure approval mechanism. After approval, the server sends the necessary information for the procedure to the insurance company's system and confirms the completion of the transmission through the information transmission completion confirmation mechanism. The user is notified through the notification mechanism to inform them of the progress of the procedure.

[0814] As a concrete example, consider a scenario where a user is involved in a serious rear-end collision. In this case, when the user enters accident information into their terminal, the emotion engine determines the user's high stress level. As a result, the server provides guidance on emergency contact services and express arrangement services, and presents a procedural plan in an easy-to-understand visual interface. This allows the user to proceed with the procedures quickly and accurately while reducing stress.

[0815] An example of a prompt message for the generating AI model is, "Use the emotion engine to analyze the user's stress level and generate insurance procedure suggestions suitable for a user in a high-stress state." In this way, the present invention enables the realization of advanced insurance procedures that take the user's emotions into consideration.

[0816] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0817] Step 1:

[0818] Users input accident information and images using a smartphone or computer. They input information such as the type of accident, location, and date / time using an information input device, and take photos of the accident scene using an image acquisition device. The input information and acquired images are saved on the device. At this stage, the input consists of text information and image data.

[0819] Step 2:

[0820] The terminal transmits collected information and image data to the server via an information transmission means. This includes transferring data using wireless communication technology. The server receives this data and passes it on to the analysis means. The transmitted data consists of text information and image data, and the received data becomes the input for the server.

[0821] Step 3:

[0822] The server uses analysis tools to analyze the received information and image data to determine the severity of the accident. The analysis includes processing that uses machine learning algorithms to analyze the images and evaluate the extent of damage. The output is numerical or categorical data indicating the severity of the accident.

[0823] Step 4:

[0824] The server uses emotion evaluation tools to analyze the user's voice and facial expression data transmitted from the terminal. The emotion engine analyzes the tone of voice and facial expressions to quantify the user's stress and anxiety levels. The input is voice and facial expression data, and the output is evaluation data indicating the user's emotional state.

[0825] Step 5:

[0826] Based on the analysis results and sentiment assessment, the server uses a procedure generation mechanism to create the optimal insurance procedure plan for the user. This includes operations that derive procedure options according to the severity of the accident and the user's stress level. The output is a specific procedure plan, which is presented to the user.

[0827] Step 6:

[0828] The terminal displays the generated procedure plan to the user via a procedure presentation mechanism. A function is in place to visually present the plan in an easy-to-understand format. The user reviews and approves this plan. The input is the procedure plan, and the output is the user's approval status.

[0829] Step 7:

[0830] After the server receives user approval through the procedure approval mechanism, it sends the procedure information to the insurance company using the information transmission completion confirmation mechanism and confirms its completion. This confirms that the procedure has been successfully completed. The input is the approved procedure information, and the output is the transmission completion confirmation data.

[0831] (Application Example 2)

[0832] 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".

[0833] There is a need to reduce the burden on users in the event of accidents or incidents and to provide appropriate responses quickly. However, conventional systems do not adequately consider the emotional state of users, and lack appropriate support to alleviate stress and anxiety. As a result, users are forced to perform procedures that are complicated and difficult to understand, making it difficult to provide satisfactory service.

[0834] 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.

[0835] In this invention, the server includes an information input means, an image acquisition means, and an emotion evaluation device. This makes it possible to analyze the user's emotional state in real time and evaluate it along with the severity of the accident. This reduces user stress and enables the presentation of flexible and optimal procedural plans tailored to the situation.

[0836] An "information input means" is an interface that allows users to input data about the details of an accident or incident via a terminal.

[0837] "Information transmission means" refers to a function for sending input information to a server, and is a means of transferring data using a communication protocol.

[0838] "Image acquisition means" refers to a device equipped with a camera function for visually recording the user's environment and situation.

[0839] "Image transmission means" refers to a communication function for transferring acquired image data to a server.

[0840] An "analysis device" is a system that automatically analyzes the content based on received information and image data to determine the severity of an accident.

[0841] An "emotion evaluation device" is a device that analyzes a user's emotional state from their facial expressions, voice, etc., and quantifies the results.

[0842] A "procedure generation device" is a system that automatically creates the optimal procedure plan for a user based on analysis results and sentiment evaluation.

[0843] A "procedure presentation device" is an interface that visually displays the generated procedure plan to the user, making it easy to understand.

[0844] A "procedure approval device" is an interactive device that allows users to review and approve a presented procedure plan.

[0845] An "information transmission confirmation device" is a system that records that procedural information has been successfully transmitted after user approval and notifies the user for confirmation.

[0846] A "notification device" is a device equipped with communication functions to inform users of important updates and the progress of procedures.

[0847] This invention is a system that provides a swift and appropriate response while taking emotions into consideration when a user encounters an accident or incident. The terminal collects information from the user, and the server processes it. Specifically, the terminal receives user input information and acquires images with its camera. It records the user's voice through a microphone and analyzes emotions from the voice in real time.

[0848] The server receives this information and first uses an analysis device to assess the severity of the accident. It also uses an emotion assessment device to quantify the user's emotional state and measure stress levels and anxiety. Voice tone analysis and image processing techniques are used in this process.

[0849] Next, the procedure generation device activates and creates a procedure plan optimized for the user's situation. The plan includes emergency response measures and options to simplify the procedure, and can be flexibly adjusted to accommodate emotional fluctuations. The generated plan is displayed on the user terminal by the procedure presentation device, providing an intuitively easy-to-understand interface.

[0850] The user approves the presented plan, which moves the process forward. The process approval device receives the user's approval, and the result is transmitted to the insurance company's system by the information transmission confirmation device. The notification device is responsible for informing the user of the status during and upon completion of the process.

[0851] As a concrete example, if a user is involved in a traffic accident late at night, the device sends information about the accident and the user's high stress level to the server. Based on the analysis, the server provides voice guidance to the user to calm down and presents a visually easy-to-understand procedural plan. Options also include an instant dialing function to emergency contacts and navigation to nearby safe facilities.

[0852] An example of a prompt for a generative AI model is: "A user has been in a traffic accident. Explain how the system recognizes the user's emotions and what procedural plan it will provide." This example demonstrates the specific functions the system will use to reassure the user.

[0853] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0854] Step 1:

[0855] The terminal receives accident information input from the user. The user inputs detailed accident information in text format through the terminal's interface. This information is then prepared for transmission to the server via the input method. The input includes data such as location, type of accident, and number of participants.

[0856] Step 2:

[0857] The device uses its camera to acquire images of the accident scene. The user points the device at the accident scene and takes the necessary photos. The acquired images are prepared to be transferred to the server by an image transmission means. In this step, an image processing algorithm performs basic image adjustments (e.g., automatic exposure and noise reduction).

[0858] Step 3:

[0859] The user's voice is recorded through the device's microphone. The user's words are transcribed in real time, and emotion recognition is performed through voice analysis. The user's stress and anxiety levels are assessed based on their voice tone and speed. The voice data is then sent to a server.

[0860] Step 4:

[0861] The server analyzes the received information and images to assess the severity of the accident. The analysis device takes this data as input, uses an AI model to quantify and classify the degree of impact of the accident. The output is the accident severity level (e.g., minor, moderate, severe).

[0862] Step 5:

[0863] The server's emotion evaluation device quantifies the user's emotional state. Based on the emotional indicators extracted from the voice, it calculates the user's stress level and anxiety index. The output of this step is quantified emotional data.

[0864] Step 6:

[0865] The server's procedure generator creates an optimal procedure plan based on the severity of the incident and the emotional state of the individuals involved. The plan includes recommended responses and specific action guidelines. By using past case data and a generation AI model, individually customized plans are produced.

[0866] Step 7:

[0867] The terminal presents the generated procedure plan to the user. The procedure presentation device displays the plan visually in an easy-to-understand manner, employing a layout that is easily comprehensible to the user. Interface design plays a crucial role in this step.

[0868] Step 8:

[0869] The user reviews and approves the presented procedure plan. The procedure approval device sends the user's approval result to the server. This input initiates the formal procedure process.

[0870] Step 9:

[0871] The server's information transmission confirmation device sends the procedure information to the insurance company's system and confirms that the procedure has been completed. In the example prompt message, the user is informed that the procedure has been "successfully completed." This completed procedure information is recorded in the database.

[0872] Step 10:

[0873] The server's notification system informs the user that the procedure is complete and provides relevant information. The notification is sent to the terminal, and the user receives instructions on what to do next. This step provides reassurance to the user and clarifies what they need to do next.

[0874] 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.

[0875] 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.

[0876] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0877] 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.

[0878] 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.

[0879] 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.

[0880] 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.

[0881] 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.

[0882] 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."

[0883] 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.

[0884] 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.

[0885] 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.

[0886] 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.

[0887] 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.

[0888] 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.

[0889] 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.

[0890] 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.

[0891] 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.

[0892] 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.

[0893] 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.

[0894] 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.

[0895] The following is further disclosed regarding the embodiments described above.

[0896] (Claim 1)

[0897] Information input means and

[0898] Information transmission means and

[0899] Image acquisition method,

[0900] Image transmission means,

[0901] Analytical means,

[0902] Procedure generation means,

[0903] Procedural presentation methods,

[0904] Procedural approval methods,

[0905] A means of confirming the completion of information transmission,

[0906] Notification methods,

[0907] A system that includes this.

[0908] (Claim 2)

[0909] The system according to claim 1, wherein the analysis means determines the severity of an accident and generates an optimal procedure based on the input information and images.

[0910] (Claim 3)

[0911] The system according to claim 1, wherein the procedure generation means constructs a procedure plan that includes whether repairs are necessary and whether a replacement vehicle is necessary.

[0912] "Example 1"

[0913] (Claim 1)

[0914] Information input means and

[0915] Information transmission means and

[0916] Image acquisition method,

[0917] Image transmission means,

[0918] Data analysis means,

[0919] Procedure generation means,

[0920] Procedural presentation methods,

[0921] Procedural approval methods,

[0922] A means of confirming the completion of information transmission,

[0923] Notification methods,

[0924] A means of automatically generating an optimal plan based on analysis results using a generative AI model,

[0925] An interface means for effectively visually presenting the procedure details to the user,

[0926] Real-time information distribution methods,

[0927] A system that includes this.

[0928] (Claim 2)

[0929] The system according to claim 1, wherein the data analysis means determines the severity of an accident based on the input information and images, and quickly generates the optimal procedure using a generated AI model.

[0930] (Claim 3)

[0931] The system according to claim 1, wherein the procedure generation means constructs a procedure plan including whether repairs are necessary and whether alternative means of transportation are necessary, and the user can approve the plan via a terminal.

[0932] "Application Example 1"

[0933] (Claim 1)

[0934] A device for acquiring information,

[0935] A device for communicating information,

[0936] A device for acquiring images,

[0937] A device for transmitting images,

[0938] A device for analyzing information,

[0939] A device for generating insurance procedures,

[0940] A device that presents the generated procedure,

[0941] A device to approve the procedure,

[0942] A device to confirm the completion of information transmission,

[0943] The notification device and

[0944] A device that automatically acquires data from the vehicle's recording device when an accident occurs and automates insurance procedures,

[0945] A system that includes this.

[0946] (Claim 2)

[0947] The system according to claim 1, wherein the analysis device evaluates the scale of the accident based on acquired information and images, generates the optimal procedure, and determines an insurance plan by also referring to data from the vehicle's sensors.

[0948] (Claim 3)

[0949] The system according to claim 1, wherein the device that generates the insurance procedure constructs a procedure plan including the need for repairs and the need for a replacement vehicle, and presents the plan using a display device installed in the vehicle.

[0950] "Example 2 of combining an emotion engine"

[0951] (Claim 1)

[0952] Information input means and

[0953] Information transmission means and

[0954] Image acquisition method,

[0955] Image transmission means,

[0956] Analytical means,

[0957] Emotion evaluation methods,

[0958] Procedure generation means,

[0959] Procedural presentation methods,

[0960] Procedural approval methods,

[0961] A means of confirming the completion of information transmission,

[0962] Notification methods,

[0963] A system that includes this.

[0964] (Claim 2)

[0965] The system according to claim 1, wherein, based on the input information and images, the analysis means determines the severity of the accident, and the emotion evaluation means evaluates the user's emotional state to generate the optimal procedure.

[0966] (Claim 3)

[0967] The system according to claim 1, wherein the procedure generation means constructs a procedure plan that includes whether repairs are necessary and whether alternative means are necessary, and further adjusts the procedure plan according to the user's emotional state.

[0968] "Application example 2 when combining with an emotional engine"

[0969] (Claim 1)

[0970] Information input means and

[0971] Information transmission means and

[0972] Image acquisition method,

[0973] Image transmission means,

[0974] Analysis device and

[0975] Emotion evaluation device,

[0976] Procedure generation device,

[0977] Procedure presentation device and

[0978] Procedure approval device,

[0979] Information transmission confirmation device,

[0980] Notification device and

[0981] A system that includes this.

[0982] (Claim 2)

[0983] The system according to claim 1, wherein, based on the input information and images, the analysis means determines the severity of the accident, the emotion evaluation device quantifies the emotional state, and generates an optimal procedure.

[0984] (Claim 3)

[0985] The system according to claim 1, wherein the procedure generating device constructs a procedure plan that includes guidance on the need for repair, the need for alternative means, and emergency response measures. [Explanation of Symbols]

[0986] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A device for acquiring information, A device for communicating information, A device for acquiring images, A device for transmitting images, A device for analyzing information, A device for generating insurance procedures, A device that presents the generated procedure, A device to approve the procedure, A device to confirm the completion of information transmission, The notification device and A device that automatically acquires data from the vehicle's recording device when an accident occurs and automates insurance procedures, A system that includes this.

2. The system according to claim 1, wherein the analysis device evaluates the scale of the accident based on acquired information and images, generates the optimal procedure, and determines an insurance plan by also referring to data from the vehicle's sensors.

3. The system according to claim 1, wherein the device that generates the insurance procedure constructs a procedure plan including the need for repairs and the need for a replacement vehicle, and presents the plan using a display device installed in the vehicle.

Images