Solís-Marcos Ignacio, Galvao-Carmona Alejandro, Kircher Katja
Unit of Human Factors in the Transport System, Swedish National Road and Transport Research Institute (VTI), Linköping, Sweden.
Department of Psychology, Universidad Loyola Andalucía, Seville, Spain.
Front Hum Neurosci. 2017 Nov 6;11:537. doi: 10.3389/fnhum.2017.00537. eCollection 2017.
Research on partially automated driving has revealed relevant problems with driving performance, particularly when drivers' intervention is required (e.g., take-over when automation fails). Mental fatigue has commonly been proposed to explain these effects after prolonged automated drives. However, performance problems have also been reported after just a few minutes of automated driving, indicating that other factors may also be involved. We hypothesize that, besides mental fatigue, an underload effect of partial automation may also affect driver attention. In this study, such potential effect was investigated during short periods of partially automated and manual driving and at different speeds. Subjective measures of mental demand and vigilance and performance to a secondary task (an auditory oddball task) were used to assess driver attention. Additionally, modulations of some specific attention-related event-related potentials (ERPs, N1 and P3 components) were investigated. The mental fatigue effects associated with the time on task were also evaluated by using the same measurements. Twenty participants drove in a fixed-base simulator while performing an auditory oddball task that elicited the ERPs. Six conditions were presented (5-6 min each) combining three speed levels (low, comfortable and high) and two automation levels (manual and partially automated). The results showed that, when driving partially automated, scores in subjective mental demand and P3 amplitudes were lower than in the manual conditions. Similarly, P3 amplitude and self-reported vigilance levels decreased with the time on task. Based on previous studies, these findings might reflect a reduction in drivers' attention resource allocation, presumably due to the underload effects of partial automation and to the mental fatigue associated with the time on task. Particularly, such underload effects on attention could explain the performance decrements after short periods of automated driving reported in other studies. However, further studies are needed to investigate this relationship in partial automation and in other automation levels.
对部分自动驾驶的研究揭示了驾驶性能方面的相关问题,尤其是在需要驾驶员干预时(例如,自动化失效时接管)。长期自动驾驶后,人们普遍认为精神疲劳可以解释这些影响。然而,在短短几分钟的自动驾驶后也有性能问题的报告,这表明可能还涉及其他因素。我们假设,除了精神疲劳外,部分自动化的负荷不足效应也可能影响驾驶员的注意力。在本研究中,在短时间的部分自动驾驶和手动驾驶期间以及不同速度下,对这种潜在效应进行了研究。使用精神需求和警觉性的主观测量以及对次要任务(听觉Oddball任务)的表现来评估驾驶员的注意力。此外,还研究了一些与注意力相关的特定事件相关电位(ERP,N1和P3成分)的调制。还通过使用相同的测量方法评估了与任务时间相关的精神疲劳效应。20名参与者在固定基座模拟器中驾驶,同时执行一项能诱发ERP的听觉Oddball任务。呈现了六种条件(每种条件5 - 6分钟),结合了三个速度水平(低、舒适和高)和两个自动化水平(手动和部分自动化)。结果表明,在部分自动驾驶时,主观精神需求得分和P3波幅低于手动驾驶条件。同样,P3波幅和自我报告的警觉水平随任务时间而降低。基于先前的研究,这些发现可能反映了驾驶员注意力资源分配的减少,大概是由于部分自动化的负荷不足效应以及与任务时间相关的精神疲劳。特别是,这种对注意力的负荷不足效应可以解释其他研究中报告的短时间自动驾驶后的性能下降。然而,需要进一步的研究来调查部分自动化以及其他自动化水平下的这种关系。