Research on the Evaluation of Emergency Takeover Prompting Methods for Autonomous Vehicles Based on EEG Emotional Characteristics

In the context of monotonous highway driving, simulated experiments were carried out to evaluate various emergency takeover prompts for autonomous vehicles. A total of 30 participants (21 males, 9 females) were recruited, with an average age between 23 and 35 years (mean = 26.3, SD = 1.7) and an average driving experience of 3 to 10 years (mean = 4.2, SD = 1.3). EEG measurement technology was used to gather EEG signals and emotional characteristics, allowing the assessment of emotional changes in users under different takeover prompts. The results showed that in a monotonous highway driving environment, incorporating seat vibration with visual and auditory prompts could more quickly and effectively awaken drivers’ emotions. Hence, combining multiple prompting methods is more effective for supervising autonomous driving.