Yan Lirong, Wang Yi, Ding Changhao, Liu Mutian, Yan Fuwu, Guo Konghui
Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan, China.
Hubei Collaborative Innovation Center for Automotive Components Technology, Wuhan, China.
Front Psychol. 2019 Jul 3;10:1524. doi: 10.3389/fpsyg.2019.01524. eCollection 2019.
Drivers play the most important role in the human-vehicle-environment system and driving behaviors are significantly influenced by the cognitive state of the driver and his/her personality. In this paper, we aimed to explore the correlation among driving behaviors, personality and electroencephalography (EEG) using a simulated driving experiment. A total of 36 healthy subjects participated in the study. The 64-channel EEG data and the driving data, including the real-time position of the vehicle, the rotation angle of the steering wheel and the speed were acquired simultaneously during driving. The Cattell 16 Personality Factor Questionnaire (16PF) was utilized to evaluate the personalities of subjects. Through hierarchical clustering of the 16PF personality traits, the subjects were divided into four groups, i.e., the Inapprehension group, Insensitivity group, Apprehension group and the Unreasoning group, named after their representative personality trait. Their driving performance and turning behaviors were compared and EEG preprocessing, source reconstruction and the comparisons among the four groups were performed using Statistical Parameter Mapping (SPM). The turning process of the subjects can be formulated into two steps, rotating the steering wheel toward the turning direction and entering the turn, and then rotating the steering wheel back and leaving the turn. The bilateral frontal gyrus was found to be activated when turning left and right, which might be associated with its function in attention, decision-making and executive control functions in visual-spatial and visual-motor processes. The Unreasoning group had the worst driving performance with highest rates of car collision and the most intensive driving action, which was related to a higher load of visual spatial attention and decision making, when the occipital and superior frontal areas played a very important role. Apprehension (O) and Tension (Q4) had a positive correlation, and Reasoning (B) had a negative correlation with dangerous driving behaviors. Our results demonstrated the close correlation among driving behaviors, personality and EEG and may be taken as a reference for the prediction and precaution of dangerous driving behaviors in people with specific personality traits.
驾驶员在人-车-环境系统中起着最重要的作用,驾驶行为受到驾驶员认知状态及其个性的显著影响。在本文中,我们旨在通过模拟驾驶实验探索驾驶行为、个性与脑电图(EEG)之间的相关性。共有36名健康受试者参与了该研究。在驾驶过程中同时采集了64通道的脑电图数据和驾驶数据,包括车辆的实时位置、方向盘的旋转角度和速度。使用卡特尔16种人格因素问卷(16PF)来评估受试者的个性。通过对16PF人格特质进行层次聚类,将受试者分为四组,即以其代表性人格特质命名的无畏组、不敏感组、忧虑组和无理智组。比较了他们的驾驶性能和转弯行为,并使用统计参数映射(SPM)对脑电图进行预处理、源重建以及四组之间的比较。受试者的转弯过程可分为两个步骤,即向转弯方向转动方向盘并进入转弯,然后将方向盘转回并离开转弯。发现左右转弯时双侧额回被激活,这可能与其在视觉空间和视觉运动过程中的注意力、决策和执行控制功能有关。无理智组的驾驶性能最差,汽车碰撞率最高,驾驶动作最剧烈,这与枕叶和额上区发挥非常重要作用时视觉空间注意力和决策的较高负荷有关。忧虑(O)和紧张(Q4)与危险驾驶行为呈正相关,而推理(B)与危险驾驶行为呈负相关。我们的结果表明驾驶行为、个性和脑电图之间密切相关,可为预测和预防具有特定人格特质的人的危险驾驶行为提供参考。