Effects of Non-Driving-Related Task Attributes on Takeover Quality in Automated Vehicles

被引:30
|
作者
Lee, Seul Chan [1 ]
Yoon, Sol Hee [2 ]
Ji, Yong Gu [2 ]
机构
[1] Gyeongsang Natl Univ, Engn Res Inst, Dept Ind & Syst Engn, Jinju, South Korea
[2] Yonsei Univ, Dept Ind Engn, Seoul 03722, South Korea
基金
新加坡国家研究基金会;
关键词
COGNITIVE LOAD; INFORMATION-SYSTEMS; BEHAVIORAL-CHANGES; DRIVER TAKEOVER; PERFORMANCE; TIME; WORKLOAD; DISTRACTION; MODALITIES; REQUESTS;
D O I
10.1080/10447318.2020.1815361
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:211 / 219
页数:9
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