Investigation of the influence of multitasking on drivers’ takeover performance in highly automated vehicles
Year: 2019
Type: conference-paper
Abstract: The forthcoming highly automated vehicles (HAVs, SAE Level 3 and beyond) would introduce a new type of human-machine interaction that would allow drivers to be completely disengaged from driving and safely perform other non-driving-related tasks. However there are situations where the HAV system would still need human drivers to take back control within a sufficient lead time. In HAVs, drivers might not only perform a single task but also engage in multiple tasks concurrently. This study investigates the effects of engaging in multitasking on drivers’ takeover performance in HAVs. A driving simulator investigation with 8 participants (aged 20-49 years, 4 females and 4 males) was implemented. Results showed that multitasking leads to prolonged takeover time and slowed decision-making. The findings emphasise the importance of including end users in the design process of HAVs.
Authors: Shuo Li, Philip Blythe, S Edwards, Paul Goodman, G Hill
Institution: Newcastle University
Language: English
Subfield: Human Factors and Ergonomics
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W3013394672