Searched for: subject%3A%22Automated%255C%252Bdriving%22
(1 - 5 of 5)
document
Cabrall, C.D.D. (author), Happee, R. (author), de Winter, J.C.F. (author)
For transitions of control in automated vehicles, driver monitoring systems (DMS) may need to discern task difficulty and driver preparedness. Such DMS require models that relate driving scene components, driver effort, and eye measurements. Across two sessions, 15 participants enacted receiving control within 60 randomly ordered dashcam videos ...
journal article 2020
document
Stapel, J.C.J. (author), Mullakkal-Babu, F.A. (author), Happee, R. (author)
Driver mental workload is an important factor in the operational safety of automated driving. In this study, workload was evaluated subjectively (NASA R-TLX) and objectively (auditory detection-response task) on Dutch public highways (∼150 km) comparing manual and supervised automated driving in a Tesla Model S with moderators automation...
journal article 2019
document
Heikoop, D.D. (author), de Winter, J.C.F. (author), van Arem, B. (author), Stanton, Neville A. (author)
Automated driving systems are increasingly prevalent on public roads, but there is currently little knowledge on the level of workload and stress of drivers operating an automated vehicle in a real environment. The present study aimed to measure driver workload and stress during partially automated driving in real traffic. We recorded heart...
journal article 2019
document
Cabrall, C.D.D. (author), de Winter, J.C.F. (author), Happee, R. (author)
A majority (95%) of crashes can be attributed to humans, with the highest cause category (41%) involving errors of recognition (i.e., inattention, distraction, inadequate surveillance) [1]. Driving safety research often claims that as much as 90% of the information that drivers use is visual. However, these claims have been hampered by a lack of...
conference paper 2017
document
Stapel, J.C.J. (author), Mullakkal-Babu, F.A. (author), Happee, R. (author)
Driver mental underload is an important concern in the operational safety of automated driving. In this study, workload was evaluated subjectively (NASA RTLX) and objectively (auditory detection-response task) on Dutch public highways (~150km) in a Tesla Model S comparing manual and supervised automated driving with moderators automation...
conference paper 2017
Searched for: subject%3A%22Automated%255C%252Bdriving%22
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