https://orcid.org/0000-0002-0697-2164
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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.
Acknowledgments
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (Grant-# NRF- 2019R1A6A3A12033202).
Data availability
Data available with reasonable request (due to privacy/ethical restrictions)
Additional information
Notes on contributors
Seul Chan Lee
Seul Chan Lee is an Assistant Professor in the Department of Industrial and Systems Engineering at Gyeongsang National University. His research goal is to make systems and devices better based on the theories and methodologies of Human Factors and Human-Computer Interaction.
Sol Hee Yoon
Sol Hee Yoon is a Principal Research Engineer at Hyundai MOBIS. She received her Ph.D. from Yonsei University in 2018. Her research focuses on human factors issues in both automated and manual driving.
Yong Gu Ji
Yong Gu Ji is a Professor in the Department of Industrial Engineering at Yonsei University, where he directs the Human Factors & Interaction Design Laboratory. He received his Ph.D. in Human Factors/HCI from Purdue University. His research interests include usability/UX in smart devices and self-driving vehicles.