Paper Info
Title
Effects Of Non-Driving-Related Task Attributes On Takeover Quality In Automated Vehicles
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.
Year
DOI
Venue
2021
10.1080/10447318.2020.1815361
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
DocType
Volume
Issue
Journal
37
3
ISSN
Citations 
PageRank 
1044-7318
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Seul Chan Lee165.64
Sol Hee Yoon2483.84
Yong Gu Ji323822.42