Searched for: author%3A%22de+Winter%2C+J.C.F.%22
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Kooijman, L. (author), Happee, R. (author), de Winter, J.C.F. (author)
In future traffic, automated vehicles may be equipped with external human-machine interfaces (eHMIs) that can communicate with pedestrians. Previous research suggests that, during first encounters, pedestrians regard text-based eHMIs as clearer than light-based eHMIs. However, in much of the previous research, pedestrians were asked to imagine...
journal article 2019
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Cabrall, C.D.D. (author), Eriksson, Alexander (author), Dreger, F.A. (author), Happee, R. (author), de Winter, J.C.F. (author)
This work aimed to organise recommendations for keeping people engaged during human supervision of driving automation, encouraging a safe and acceptable introduction of automated driving systems. First, heuristic knowledge of human factors, ergonomics, and psychological theory was used to propose solution areas to human supervisory control...
journal article 2019
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de Clercq, Koen (author), Dietrich, Andre (author), Nuñez Velasco, J.P. (author), de Winter, J.C.F. (author), Happee, R. (author)
Objective: In this article, we investigated the effects of external human-machine interfaces (eHMIs) on pedestrians’ crossing intentions. Background: Literature suggests that the safety (i.e., not crossing when unsafe) and efficiency (i.e., crossing when safe) of pedestrians’ interactions with automated vehicles could increase if automated...
journal article 2019