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Effects of Non-Driving-Related Task Attributes on Takeover Quality in Automated Vehicles
International Journal of Human-Computer Interaction ( IF 4.7 ) Pub Date : 2020-09-06 , DOI: 10.1080/10447318.2020.1815361
Seul Chan Lee 1 , Sol Hee Yoon 2 , Yong Gu Ji 2
Affiliation  

ABSTRACT

This study aimed to investigate the effects of non-driving-related tasks (NDRTs) on takeover quality in the context of automated driving. Specifically, we examined the effects of three categories of NDRT attributes (i.e., physical, cognitive, and visual) on longitudinal and lateral driving measures when the drivers resumed control. We designed a driving simulator study where the participants experienced automated driving journeys and takeover situations. When the automated mode was activated, drivers engaged in one of the nine NDRTs. The results showed that the cognitive load of NDRTs had a significant negative correlation with both longitudinal and lateral control measures. However, the effects of two attributes in the physical category and one attribute in the visual category on driving performance did not show statistical significance. Overall, the findings indicated that the influence of cognitive attributes on takeover quality is more salient than that of the physical and visual attributes, which provides insights into the understanding of takeover situations to improve driving safety.



中文翻译:

非驾驶相关任务属性对自动驾驶汽车接管质量的影响

摘要

这项研究旨在调查自动驾驶背景下非驾驶相关任务(NDRT)对接管质量的影响。具体来说,当驾驶员恢复控制时,我们研究了三类NDRT属性(即身体,认知和视觉)对纵向和横向驾驶措施的影响。我们设计了一个驾驶模拟器研究,参与者在其中体验了自动驾驶旅程和接管情况。激活自动模式后,驱动程序将参与九个NDRT之一。结果表明,NDRTs的认知负荷与纵向和横向控制措施均呈显着负相关。但是,物理类别中的两个属性和视觉类别中的一个属性对驾驶性能的影响没有显示统计学意义。总体,

更新日期:2020-09-06
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