驾驶疲劳发作与视觉注意力:脑电图驱动的驾驶模拟任务中的眼部行为分析。

IF 2.5 3区 心理学 Q2 PSYCHOLOGY, MULTIDISCIPLINARY
Andrea Giorgi, Gianluca Borghini, Francesca Colaiuda, Stefano Menicocci, Vincenzo Ronca, Alessia Vozzi, Dario Rossi, Pietro Aricò, Rossella Capotorto, Simone Sportiello, Marco Petrelli, Carlo Polidori, Rodrigo Varga, Marteyn Van Gasteren, Fabio Babiloni, Gianluca Di Flumeri
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引用次数: 0

摘要

注意力缺陷会给道路安全带来悲剧性后果。注意力不集中并不完全是分心造成的,因为注意力不集中还可能是其他精神障碍造成的,最常见的是精神疲劳。疲劳是驾驶过程中最常见的障碍之一,会降低驾驶员的认知能力和体能。这个问题与职业驾驶员尤为相关,因为他们大部分时间都是在驾驶中度过的。虽然科学文献已经记录了疲劳驾驶对行为的影响,但大多数研究都集中在睡眠不足或严重疲劳程度的驾驶员身上,因为很难识别疲劳的开始。本研究采用脑电图驱动法检测职业驾驶员在模拟任务中的早期疲劳迹象,旨在研究疲劳开始时的视觉注意力。研究人员招募了短程和远程职业驾驶员,让他们参加长达 45 分钟的模拟驾驶实验。问卷调查用于验证实验方案。实验采用了之前经过验证的脑电图指数--MDrow,作为识别 "疲劳 "时间跨度的基准测量。眼动跟踪分析的结果表明,职业驾驶员在疲劳时往往会将注意力集中在驾驶环境中的非信息部分。本文提出的证据表明,脑电图驱动的方法可用于检测驾驶疲劳的开始,并研究相关的视觉注意力模式。研究发现,疲劳开始对驾驶员的影响并不因其职业活动(短途运输与长途运输)的不同而不同。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Driving Fatigue Onset and Visual Attention: An Electroencephalography-Driven Analysis of Ocular Behavior in a Driving Simulation Task.

Attentional deficits have tragic consequences on road safety. These deficits are not solely caused by distraction, since they can also arise from other mental impairments such as, most frequently, mental fatigue. Fatigue is among the most prevalent impairing conditions while driving, degrading drivers' cognitive and physical abilities. This issue is particularly relevant for professional drivers, who spend most of their time behind the wheel. While scientific literature already documented the behavioral effects of driving fatigue, most studies have focused on drivers under sleep deprivation or anyhow at severe fatigue degrees, since it is difficult to recognize the onset of fatigue. The present study employed an EEG-driven approach to detect early signs of fatigue in professional drivers during a simulated task, with the aim of studying visual attention as fatigue begins to set in. Short-range and long-range professional drivers were recruited to take part in a 45-min-long simulated driving experiment. Questionnaires were used to validate the experimental protocol. A previously validated EEG index, the MDrow, was adopted as the benchmark measure for identifying the "fatigued" spans. Results of the eye-tracking analysis showed that, when fatigued, professional drivers tended to focus on non-informative portions of the driving environment. This paper presents evidence that an EEG-driven approach can be used to detect the onset of fatigue while driving and to study the related visual attention patterns. It was found that the onset of fatigue did not differentially impact drivers depending on their professional activity (short- vs. long-range delivery).

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来源期刊
Behavioral Sciences
Behavioral Sciences Social Sciences-Development
CiteScore
2.60
自引率
7.70%
发文量
429
审稿时长
11 weeks
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