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部分睡眠剥夺和任务持续时间对年轻驾驶员主观和客观困倦的影响。

The Effect of Partial Sleep Deprivation and Time-on-Task on Young Drivers' Subjective and Objective Sleepiness.

机构信息

Department of General Psychology, University of Padova, 35131 Padova, Italy.

Mobility and Behavior Research Center-MoBe, University of Padova, 35131 Padova, Italy.

出版信息

Int J Environ Res Public Health. 2023 Feb 23;20(5):4003. doi: 10.3390/ijerph20054003.

Abstract

Despite sleepiness being considered one of the main factors contributing to road crashes, and even though extensive efforts have been made in the identification of techniques able to detect it, the assessment of fitness-to-drive regarding driving fatigue and sleepiness is still an open issue. In the literature on driver sleepiness, both vehicle-based measures and behavioral measures are used. Concerning the former, the one considered more reliable is the Standard Deviation of Lateral Position (SDLP) while the PERcent of eye CLOSure over a defined period of time (PERCLOS) seems to be the most informative behavioral measure. In the present study, using a within-subject design, we assessed the effect of a single night of partial sleep deprivation (PSD, less than 5 h sleeping time) compared to a control condition (full night of sleep, 8 h sleeping time) on SDLP and PERCLOS, in young adults driving in a dynamic car simulator. Results show that time-on-task and PSD affect both subjective and objective sleepiness measures. Moreover, our data confirm that both objective and subjective sleepiness increase through a monotonous driving scenario. Considering that SDLP and PERCLOS were often used separately in studies on driver sleepiness and fatigue detection, the present results have potential implications for fitness-to-drive assessment in that they provide useful information allowing to combine the advantages of the two measures for drowsiness detection while driving.

摘要

尽管困倦被认为是导致道路交通事故的主要因素之一,尽管已经做出了广泛的努力来识别能够检测到困倦的技术,但对于驾驶疲劳和困倦时的驾驶能力评估仍然是一个悬而未决的问题。在关于驾驶员困倦的文献中,既使用了基于车辆的测量方法,也使用了行为测量方法。就前者而言,被认为更可靠的是横向位置标准差(SDLP),而在规定时间内的闭眼百分比(PERCLOS)似乎是最具信息量的行为测量方法。在本研究中,我们使用了一种被试内设计,评估了与对照条件(整夜睡眠,8 小时睡眠时间)相比,一夜部分睡眠剥夺(PSD,睡眠时间少于 5 小时)对 SDLP 和 PERCLOS 的影响,在年轻成年人在动态汽车模拟器中驾驶时。结果表明,任务时间和 PSD 都会影响主观和客观的困倦测量。此外,我们的数据证实,通过单调的驾驶场景,客观和主观的困倦都会增加。考虑到 SDLP 和 PERCLOS 在驾驶员困倦和疲劳检测研究中经常分别使用,本研究结果对驾驶能力评估具有潜在影响,因为它们提供了有用的信息,允许将两种测量方法的优势结合起来,以便在驾驶时检测困倦。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3834/10001806/66b24788c1cc/ijerph-20-04003-g001.jpg

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