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Lu, Z. (author), Happee, R. (author), de Winter, J.C.F. (author)
In highly automated driving, drivers occasionally need to take over control of the car due to limitations of the automated driving system. Research has shown that visually distracted drivers need about 7 s to regain situation awareness (SA). However, it is unknown whether the presence of a hazard affects SA. In the present experiment, 32...
journal article 2020
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Zhang, Bo (author), Lu, Z. (author), Happee, R. (author), de Winter, J.C.F. (author), Martens, Marieke (author)
In the context of automated driving, a monitoring request (MR) is a means to prepare drivers for a take-over event. However, driver compliance may be an issue because not all MRs require a take-over. In this study, we investigated how drivers’ compliance with MRs was associated with previously experienced scenarios. The compliance level was...
conference paper 2019
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Lu, Z. (author), Happee, R. (author), de Winter, J.C.F. (author)
This study presents a numerical model that describes the dynamic process of building situation awareness after an automation-initiated transition. The model predicts the level of situation awareness as a function of elapsed time since the transition, and is verified using data from an experiment in which participants watched animated video...
conference paper 2017
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Lu, Z. (author), Happee, R. (author), Cabrall, C.D.D. (author), Kyriakidis, M. (author), de Winter, J.C.F. (author)
The topic of transitions in automated driving is becoming important now that cars are automated to ever greater extents. This paper proposes a theoretical framework to support and align human factors research on transitions in automated driving. Driving states are defined based on the allocation of primary driving tasks (i.e., lateral control,...
journal article 2016
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