Immersion interactive road rage behavior correction training system

Abstract

The invention discloses an immersion interactive road rage behavior correction training system comprising an immersion driving system used for generating a virtual driving scene and randomly generating a driving situation; the behavior recognition and monitoring system is used for monitoring operation data of the user in the driving situation in real time and judging whether the driving behavior of the user belongs to social driving or road rage driving; the dynamic interaction system is used for providing positive feedback or VR (Virtual Reality) positive thought intervention according to the driving behavior result of the user; on the basis of approaching to reality as much as possible, the risk problem of road rage intervention in a real situation is solved to a certain extent; an effective prevention and intervention method is provided from the perspective of psychology, the emotion regulation ability of a road rage group is fundamentally improved, and the autonomy of driving behaviors of a parent society is promoted.

Description

Technical Field

[0001] The present invention belongs to the technical field of design psychology and behavior intervention, and particularly relates to an immersive interactive road rage behavior correction training system. Background Art

[0002] In recent years, with the increase in the number of automobiles, traffic accidents have occurred frequently. According to statistics, there are not a few traffic accidents caused by road rage. Road rage refers to the aggressive or angry behavior shown by drivers in traffic due to stress, frustration, or emotional out-of-control. From a psychological perspective, road rage is considered a mental illness, and its causes include insufficient emotional regulation ability, cognitive bias, personality traits (such as impulsivity, irritability), and long-term stress accumulation. The harm of road rage is extremely great, which not only affects the mental health of drivers themselves, but also may cause serious traffic safety problems. Therefore, it is particularly important to explore methods for preventing and alleviating road rage.

[0003] Currently, the methods and systems for identifying and intervening in road rage are all based on real driving scenarios and cannot conduct appropriate training. Especially for the intervention system, it only plays a prompting role and does not conduct psychological intervention and behavior training from a professional perspective. For example, the patent with the publication number CN111605556A discloses an anti-road rage identification and control system, which controls the vehicle according to the road rage level and corrects the driver's operations; the voice prompt module dissuades the driver according to the road rage level and prompts the passengers to comfort the driver. Another example is the patent with the publication number CN113191212A, which discloses a method and system for warning the risk of road rage of drivers. The invention can continuously detect and warn the dangerous driving risk emotions of drivers during driving, and can give early warnings before the drivers enter the road rage state, prompting the drivers to adjust their own emotions, and also only plays a prompting role without giving appropriate emotion regulation strategies. Summary of the Invention

[0004] Based on this, the present invention provides a prosocial driving training system for road rage based on VR (virtual reality) technology. For the road rage group, the virtual reality technology is adopted to avoid the danger in the real driving scenario. According to the operant conditioning theory, positive reinforcement is given to prosocial driving behaviors to train prosocial driving behaviors; according to the mindfulness meditation theory, when road rage driving behaviors occur, the user is guided to perform VR mindfulness training to promote their emotion regulation ability, improve their emotional state, and at the same time promote their prosocial driving behaviors.

[0005] To solve the above problems, the present invention proposes an immersive interactive road rage behavior correction training system.

[0006] To achieve the above object, the technical solution adopted by the present invention is as follows: An immersive interactive road rage behavior correction training system, comprising:

[0007] An immersive driving system for generating virtual driving scenarios and randomly generating driving situations;

[0008] A behavior recognition and monitoring system for real-time monitoring of the operation data of the user in the driving situation and judging whether their driving behavior belongs to prosocial driving or road rage driving;

[0009] A dynamic interaction system for providing positive feedback or VR mindfulness intervention according to the user driving behavior result;

[0010] A data processing system for saving the user data and the user driving behavior result information each time the user uses it and generating a visualization report;

[0011] A difficulty adjustment system for dynamically adjusting the training difficulty according to the user behavior pattern.

[0012] Further, the immersive driving system includes a VR driving operation module and a driving situation generation module;

[0013] The VR driving operation module includes a head-mounted virtual reality helmet, a driving simulator, a virtual reality environment, and a computer;

[0014] The driving situation generation module is used to randomly generate driving situations for judging the user's driving behavior during the virtual driving process; the driving situations include normal driving situations, situations of yielding to pedestrians, traffic signal situations, and speed limit section situations;

[0015] When the user enters the situation of yielding to pedestrians, a pedestrian about to cross the road appears in front of the vehicle;

[0016] When the user enters the traffic signal situation, a traffic signal appears in front of the vehicle;

[0017] When the user is about to enter the speed limit section situation, a speed limit sign appears in front of the vehicle and interval speed measurement is prompted.

[0018] Further, the behavior recognition and monitoring system includes a data monitoring module and a behavior recognition module;

[0019] The data monitoring module is used to collect the user data in the driving situation and upload it to the data processing system;

[0020] The behavior recognition module is used to combine the user data generated by the data monitoring module, judge whether the user's driving behavior belongs to prosocial driving or road rage driving, and upload the behavior result to the dynamic interaction system and the data processing system;

[0021] When the user is in a situation of yielding to pedestrians or a traffic signal situation, if the vehicle speed is 0 m / s when entering the determination area, it is determined as prosocial driving; otherwise, it is determined as road rage driving.

[0022] When the user is in a speed limit section situation, if the average speed exceeds the speed limit, it is determined as road rage driving; otherwise, it is determined as prosocial driving.

[0023] Furthermore, the dynamic interaction system includes a positive feedback module and an intervention module;

[0024] When the user is in a prosocial driving state, the positive feedback module gives situational positive feedback;

[0025] When the user is in a road rage driving state, the intervention module gives VR mindfulness intervention.

[0026] Furthermore, the situational positive feedback includes:

[0027] When the situation of yielding to pedestrians is completed, the pedestrian smiles and waves;

[0028] When the traffic signal situation is completed, a gentle voice prompt is played: "Comply with the rules and give you a thumbs up!";

[0029] When the speed limit section situation is completed, a gentle voice prompt is played: "Drive smoothly and arrive safely!".

[0030] Furthermore, when the user is in a road rage driving state, the intervention module guides the user into a VR mindfulness scene, plays mindfulness audio, and conducts VR mindfulness training.

[0031] Furthermore, the VR mindfulness scene includes a beach scene, a forest scene, or a grassland scene, and is accompanied by natural sound effects corresponding to the scene.

[0032] Furthermore, the data processing system integrates user data through a list and generates a visual chart report of the user's driving behavior results and feedback content.

[0033] Furthermore, the difficulty adjustment system calculates and judges the user's behavior pattern based on the data statistically processed by the data processing system, and accordingly sets the training difficulty of the driving environment.

[0034] Compared with the prior art, the present invention has the following beneficial effects:

[0035] (1) The present invention discloses an immersive interactive road rage behavior correction training system, which, on the basis of approaching reality as much as possible, solves to a certain extent the problem of the danger of intervening in road rage in real situations; provides effective prevention and intervention methods from a psychological perspective, fundamentally improves the emotion regulation ability of the road rage group, and promotes the autonomy of their prosocial driving behavior.

[0036] (2) The present invention utilizes virtual reality technology and virtual driving technology, and based on the theory of mindfulness meditation, operant conditioning theory, and cognitive behavioral therapy theory, establishes a multi-scenario, interactive, and feedback-rich virtual reality intervention system, which has the characteristics of strong immersion and interactivity, diverse intervention methods, adaptive difficulty, and strong fun. Moreover, users can improve road rage driving behavior without being in a real driving situation, and can be used as a safe and effective intervention tool for the pro-social driving behavior training of the road rage group. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 It is a structural framework diagram of the immersive interactive road rage behavior correction training system in this application document;

[0038] Figure 2 It is the normal driving situation and real-life scenario in this application document;

[0039] Figure 3 It is a schematic diagram of the pedestrian-giving situation in this application document;

[0040] Figure 4 is a schematic diagram of a traffic light scenario in this application document;

[0041] Figure 5 It is a schematic diagram of the speed limit section scenario in this application document;

[0042] Figure 6 It is a schematic diagram of time pressure conditions in this application document. DETAILED DESCRIPTION

[0043] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0044] like Figure 1 As shown, the technical solution adopted by the present invention is as follows: This embodiment provides an immersive interactive road rage behavior correction training system, including an immersive driving system, a behavior recognition and monitoring system, a dynamic interaction system, a data processing system, and a difficulty adjustment system; wherein:

[0045] The immersive driving system is used to generate virtual driving scenes and randomly generate driving situations.

[0046] In an implementable embodiment, the immersive driving system is used to provide a VR driving operation module and generate a driving scenario.

[0047] The immersive driving system includes a VR driving operation module and a driving scenario generation module.

[0048] Among them, the VR driving operation module is used to provide the software and hardware facilities required for virtual driving operations. The VR driving operation module includes a head-mounted virtual reality helmet, a driving simulator, a virtual reality environment, and a computer.

[0049] The driving scenario generation module is used to randomly generate driving scenarios for judging the user's driving behavior during virtual driving. The driving scenarios include normal driving scenarios, pedestrian courtesy scenarios, traffic signal scenarios, speed limit section scenarios, etc.

[0050] As Figure 3 shown, when the user enters the pedestrian courtesy scenario, a pedestrian about to cross the road appears in front of the vehicle;

[0051] As Figure 4 shown, when the user enters the traffic signal scenario, a traffic signal appears in front of the vehicle;

[0052] As Figure 5 shown, when the user is about to enter the speed limit section scenario, a speed limit sign appears in front of the vehicle and interval speed measurement is prompted.

[0053] In an implementable embodiment, the immersive driving system can be implemented by using a head-mounted virtual reality helmet (model: HTC Vive), a driving simulator (model: Logitech G29), a computer, and Unity software.

[0054] As Figure 2 shown, specifically, the virtual urban road environment and the vehicle driving system are made through Unity software (version: 2019.4.34flcl). The basic building models are made in 3DMax and imported into Unity for detail optimization. The car model is downloaded from the Unity Asset Store, and the vehicle control script is mounted using the Wheel Collider component to implement the driving function of the vehicle. The vehicle body weight (Mass) is 2000, the driving force (motorTorque) is 200n / m, the maximum steering angle (maxSteerAngle) is 50°, and the designed maximum speed is 100km / h. The final generated normal driving scenario and real scene are as Figure 2 shown.

[0055] The behavior recognition and monitoring system is used to continuously monitor the operation data of the user in the driving scenario and judge whether their driving behavior belongs to prosocial driving or road rage driving.

[0056] In an implementable embodiment, a behavior recognition and monitoring system is used to monitor user data, identify the user's driving behavior based on the data, transmit the driving behavior to a dynamic interaction system, and upload the user data to a data processing system.

[0057] The behavior recognition and monitoring system monitors the driving behavior data of the user in various driving scenarios, identifies the behavior as prosocial driving or road rage driving, uploads the behavior type to the dynamic interaction system, and uploads the behavior data to the data processing system.

[0058] As Figure 3 and Figure 4 shown, when the user is in a situation of yielding to pedestrians or a traffic signal situation, the behavior recognition and monitoring system can directly monitor the vehicle speed. When the vehicle enters the range of the judged object (red light, pedestrian), it is recorded as an event. If the vehicle speed is 0 m / s at this time, it is judged as prosocial driving; otherwise, it is judged as road rage driving.

[0059] As Figure 5 shown, when the user is in a speed limit section situation, if the average vehicle speed exceeds the speed limit, it is judged as road rage driving; otherwise, it is judged as prosocial driving. Specifically, triggers are set at the starting and ending positions of the speed limit section. After entering the speed limit section, the vehicle speed is recorded every 0.5 s. When leaving the speed limit section, the average vehicle speed of this section is calculated. If the average vehicle speed is less than or equal to the speed limit, it is recognized as a prosocial driving behavior; if the average speed is greater than the speed limit, it is recognized as a road rage driving behavior. It should be added that the above vehicle speed values are all obtained by calling the unity official API Rigidbody.velocity, and the behavior type is identified according to the speed through C#.

[0060] The dynamic interaction system is used to provide positive feedback or VR mindfulness intervention according to the user's driving behavior result.

[0061] In an implementable embodiment, the dynamic interaction system is used to receive the user's driving behavior and give corresponding feedback according to the user's behavior result.

[0062] The dynamic interaction system includes a positive feedback module and an intervention module.

[0063] In an implementable embodiment, information is received through C# and distributed to the corresponding modules.

[0064] Among them, when the user is in prosocial driving, the positive feedback module gives contextual positive feedback;

[0065] When the user is in road rage driving, the intervention module gives VR mindfulness intervention.

[0066] In an implementable embodiment, the contextual positive feedback includes:

[0067] When the situation of yielding to pedestrians is completed, the pedestrian smiles and waves;

[0068] When the traffic signal situation is completed, a gentle voice prompt is played: "Follow the rules, well done!";

[0069] When the speed limit section situation is completed, a gentle voice prompt is played: "Drive smoothly and arrive safely."

[0070] In an implementable embodiment, the Behavior Designer plugin is used to manage pedestrian behavior and control it to give positive feedback of smiling and waving. When the user completes the traffic signal and speed limit section situations, the AudioSource component is pre-mounted and the corresponding audio clip is assigned, and a timer is used to control playing only once.

[0071] In an implementable embodiment, when the user finishes road rage driving, a VR mindfulness scene is generated and the user is guided to "get off" after driving into it, and mindfulness audio is played and VR mindfulness training is carried out.

[0072] In an implementable embodiment, Unity Addressable Assets is used to dynamically load the scene. After the user drives into it, a mindfulness meditation scene is generated, and the corresponding pre-mounted mindfulness audio and music of the scene are played using the AudioSource component. After completion, drive back to the normal driving situation.

[0073] Specifically, the VR mindfulness scene is pre-built by Unity, including a beach scene, a forest scene, and a grassland scene, and a part of them is randomly generated after the user drives into it; the audio uses natural sounds recorded by voice and corresponding to the real scene.

[0074] The data processing system integrates the user data through a list and generates a visual chart report of the user's driving behavior results and feedback content.

[0075] In an implementable embodiment, the speed information retrieved from the unity official API Rigidbody.velocity through c#, and the scene information experienced by the user, the corresponding feedback is recorded and saved, and mapped and visualized to generate a corresponding report.

[0076] The difficulty adjustment system calculates and judges the user's behavior pattern based on the data statistically processed by the data processing system, and accordingly sets the training difficulty of the driving environment.

[0077] In an implementable embodiment, statistical analysis is performed on the data of the data processing system. If the probability of the user's prosocial behavior in this training is in the range of [0.8, 1], it is determined that the user is in the prosocial driving behavior mode in this training, and the occurrence frequency of road rage situations in the next training is increased to increase the difficulty. If, after increasing the frequency several times, the user is still in the prosocial driving behavior mode, the difficulty is increased again. On the original basis, time pressure conditions as shown in Figure 6 are incorporated. The user will see a prominent red countdown above the passenger seat. The color of the countdown changes according to the remaining time, with the color getting darker as the remaining time decreases. The countdown time is sufficient for the user to complete the journey while driving in a prosocial manner, and the time is not counted when the user enters the VR mindfulness training feedback. If the probability of the user's prosocial behavior is in the range of (0.2, 0.8), no determination is made and the original difficulty is maintained. If the probability of the user's prosocial behavior is in the range of [0, 0.2], it is determined that the user is in the road rage driving behavior mode, and the occurrence frequency of road rage situations in the next training is decreased to reduce the difficulty.

[0078] Based on the data statistically analyzed by the data processing system, calculate and determine the user's behavior mode in this training, and accordingly set the next driving scenario to dynamically adjust the training difficulty.

[0079] Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. An immersive interactive road rage behavior correction training system, characterized in that, Including: An immersive driving system for generating a virtual driving scenario and randomly generating driving situations; A behavior recognition and monitoring system for real-time monitoring of the operation data of the user in the driving situation and judging whether their driving behavior belongs to prosocial driving or road rage driving; A dynamic interaction system for providing positive feedback or VR mindfulness intervention according to the user driving behavior result; A data processing system for saving the user data and the user driving behavior result information each time the user uses it and generating a visual report; A difficulty adjustment system for dynamically adjusting the training difficulty according to the user behavior pattern.

2. The immersive interactive road rage behavior correction training system according to claim 1, wherein: The immersive driving system includes a VR driving operation module and a driving situation generation module; The VR driving operation module includes a head-mounted virtual reality helmet, a driving simulator, a virtual reality environment, and a computer; The driving situation generation module is used to randomly generate driving situations for judging the user's driving behavior during the virtual driving process; the driving situations include normal driving situations, situations of yielding to pedestrians, traffic signal situations, and speed limit section situations; When the user enters the situation of yielding to pedestrians, a pedestrian about to cross the road appears in front of the vehicle; When the user enters the traffic signal situation, a traffic signal appears in front of the vehicle; When the user is about to enter the speed limit section situation, a speed limit sign appears in front of the vehicle and interval speed measurement is prompted.

3. The immersive interactive road rage behavior correction training system according to claim 2, characterized in that: The behavior recognition and monitoring system includes a data monitoring module and a behavior recognition module; The data monitoring module is used to collect the user data in the driving situation and upload it to the data processing system; The behavior recognition module is used to combine the user data generated by the data monitoring module, judge whether the user's driving behavior belongs to prosocial driving or road rage driving, and upload the behavior result to the dynamic interaction system and the data processing system; When the user is in the situation of yielding to pedestrians or the traffic signal situation, if the vehicle speed when entering the judgment area is 0 m / s, it is judged as prosocial driving, otherwise it is judged as road rage driving; When the user is in the speed limit section situation, if the average speed exceeds the speed limit, it is judged as road rage driving, otherwise it is judged as prosocial driving.

4. The immersive interactive road rage behavior correction training system according to claim 3, characterized in that, The dynamic interaction system includes a positive feedback module and an intervention module; When the user is in prosocial driving, the positive feedback module gives contextual positive feedback; When the user is in road rage driving, the intervention module gives VR mindfulness intervention.

5. The immersive interactive road rage behavior correction training system according to claim 4, wherein, The contextual positive feedback includes: When the situation of yielding to pedestrians is completed, the pedestrian smiles and waves; When the traffic signal situation is completed, a gentle voice prompt is played: "Obey the rules, give you a thumbs up!"; When the speed limit section situation is completed, a gentle voice prompt is played: "Drive smoothly and arrive safely!".

6. The immersive interactive road rage behavior correction training system according to claim 4, characterized in that: When the user is after road rage driving, the intervention module guides the user into a VR mindfulness scene, plays mindfulness audio and conducts VR mindfulness training.

7. The immersive interactive road rage behavior correction training system according to claim 6, characterized in that: The VR mindfulness scene includes a beach scene, a forest scene or a grassland scene, and is accompanied by natural sound effects corresponding to the scene.

8. The immersive interactive road rage behavior correction training system according to claim 1, wherein: The data processing system integrates user data through a list and generates a visual chart report of the user's driving behavior results and feedback content.

9. The immersive interactive road rage behavior correction training system according to claim 1, characterized in that: The difficulty adjustment system calculates and judges the user's behavior pattern based on the data statistically analyzed by the data processing system, and sets the training difficulty of the driving environment accordingly.

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