@inproceedings{cbfb7f2bf6504e78b749eb63053c3ba1,
title = "How Should an Automated Vehicle Communicate Its Intention to a Pedestrian? – A Virtual Reality Study",
abstract = "To analyze the influence of right of way and automated vehicle (AV) deceleration maneuvers on pedestrians{\textquoteright} behavior, a virtual reality study was conducted. Participants were asked to press a button when they understood the intention of an approaching AV, and to rate the driving behavior after each trial. Results showed that the AV{\textquoteright}s driving behavior was able to communicate an intention. If the AV decelerates for pedestrians, it should decelerate early. When right of way is not defined, the AV should adapt to the expectations of pedestrians (e.g. not drive too fast). At a zebra crossing, participants expect the AV to communicate at an early stage that they are allowed to go first.",
keywords = "(Automated) Vehicle-Pedestrian-Interaction, Implicit communication, Mixed traffic, Virtual reality",
author = "Tanja Fuest and Maier, \{Anna Sophia\} and Hanna Bellem and Klaus Bengler",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2020.; 2nd International Conference on Human Systems Engineering and Design: Future Trends and Applications, IHSED 2019 ; Conference date: 16-09-2019 Through 18-09-2019",
year = "2020",
doi = "10.1007/978-3-030-27928-8\_30",
language = "English",
isbn = "9783030279271",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "195--201",
editor = "Tareq Ahram and Waldemar Karwowski and Stefan Pickl and Redha Taiar",
booktitle = "Human Systems Engineering and Design II - Proceedings of the 2nd International Conference on Human Systems Engineering and Design",
}