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在增加精神负荷的驾驶事件后,电生理和表现变化

Electrophysiological and performance variations following driving events involving an increase in mental workload

作者:Hugo Loeches De La Fuente;Catherine Berthelon;Alexandra Fort;Virginie Etienne;Marleen De Weser;Jonas Ambeck;Christophe Jallais;

关键词:Transportation safety,Driving performance,Mental workload; electrocardiography,Electrodermal activity,ADAS

DOI:https://doi.org/10.1186/s12544-019-0379-z

发表时间:2019年

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摘要

这项研究旨在调查司机在驾驶过程中如何评估其心理负荷,使用驾驶表现以及脑电生理和主观数据。参与者必须在驾驶模拟器上的两个会话(基线和实验)中,跟随一辆车以安全和恒定的距离,并处理两个特定的驾驶事件(超车和行人出现)。交通密度和时间压力(超车事件)以及时间压力(行人事件)在实验会话中增加,以引发更高的工作负荷。参与者在每次驾驶会话结束后填写NASA TLX问卷。在每个事件之后分析了脑电生理参数(SCL,ECG),驾驶表现(SDLP和对前车速度变化的反应:相干性、延迟和增益),分别在两个时间窗口(30秒和5分钟)内。结果显示,性能和生理变量在交通条件和时间压力的影响下有所不同。此外,尽管长时间(事件后的5分钟)内均观察到了性能变化,但从实验会话中获得的平均SCL数据的效应在事件后的30秒内明显不同于基线值。结果在心理负荷方面进行了讨论,并提出了关于可以监测司机心理状态的安全系统的建议。


Abstract

This study aimed at investigating how driver’s mental workload could be assessed during driving, using driving performance as well as electrophysiological and subjective data. Participants had to follow a lead vehicle at a safe and constant distance and to deal with two particular driving events (overtaking and pedestrian occurrence) within two sessions (baseline and experimental) on a driving simulator. Traffic density and time pressure (overtaking event) and time pressure (pedestrian event) were increased in the experimental session in order to induce a higher workload. Participants filled NASA TLX questionnaire after each driving session. Electrophysiological parameters (SCL, ECG), driving performance (SDLP and response to speed change of the lead vehicle: coherence, delay and gain) were analysed after each event in two temporal windows (30 s and 5 min). Results showed that both performance and physiological variables differed as a function of traffic conditions and time pressure. Moreover, while performance variations were systematically observed over a long period (5 min after the events), effects on mean SCL data obtained from experimental session notably differed from baseline values within 30 s after the events. Results are discussed in term of mental workload and suggestions are made about the safety systems that could monitor driver’s mental state.