Projection-Based External Human Machine Interfaces – Enabling Interaction between Automated Vehicles and Pedestrians
Authors:
André Dietrich, Jan-Henning Willrodt, Karolin Wagner, Klaus Bengler
Keywords:
external HMI, automated vehicles, vulnerable road users, pedestrian simulator, directed signalling
Abstract:
Automated vehicles will likely use some form of external Human Machine Interfaces in the future to communicate with other road users. Using projections, the communicated message can be addressed and directed towards certain traffic participants. The present study evaluated the effects of projection-based eHMI on the road user behaviour using a unity based pedestrian simulator. Results reveal that while green signalling lights are preferred over the colours cyan and magenta, the colour green is mostly interpreted as a movement prompt. In ambiguous situations undirected signalling confused study participants showing that pedestrians refer signals of vehicles in their vicinity to themselves. Therefore, undirected signalling should only be used when no one else standing around the vehicle could also see it. Otherwise, it is safer to not communicate at all. While study participants overall preferred projections in front of the vehicle using a crosswalk symbol and moving arrows, different eHMIs had marginal effects on the time, the participants needed to enter the encroachment zone.
Cite this article
Dietrich A.; Willrodt J.-H.; Wagner K. and Bengler K. Projection-Based External Human Machine Interfaces – Enabling Interaction between Automated Vehicles and Pedestrians In: Proceedings of the Driving Simulation Conference 2018 Europe VR, Driving Simulation Association, Antibes, France, 2018, pp. 43-50
@inproceedings{Dietrich2018,
title = {Projection-Based External Human Machine Interfaces – Enabling Interaction between Automated Vehicles and Pedestrians},
author = {André Dietrich and Jan-Henning Willrodt and Karolin Wagner and Klaus Bengler},
editor = {Andras Kemeny and Florent Colombet and Frédéric Merienne and Stéphane Espié},
isbn = {978-2-85782-734-4},
year = {2018},
date = {2018-09-05},
booktitle = {Proceedings of the Driving Simulation Conference 2018 Europe VR},
pages = {43-50},
address = {Antibes, France},
organization = {Driving Simulation Association},
abstract = {Automated vehicles will likely use some form of external Human Machine Interfaces in the future to communicate with other road users. Using projections, the communicated message can be addressed and directed towards certain traffic participants. The present study evaluated the effects of projection-based eHMI on the road user behaviour using a unity based pedestrian simulator. Results reveal that while green signalling lights are preferred over the colours cyan and magenta, the colour green is mostly interpreted as a movement prompt. In ambiguous situations undirected signalling confused study participants showing that pedestrians refer signals of vehicles in their vicinity to themselves. Therefore, undirected signalling should only be used when no one else standing around the vehicle could also see it. Otherwise, it is safer to not communicate at all. While study participants overall preferred projections in front of the vehicle using a crosswalk symbol and moving arrows, different eHMIs had marginal effects on the time, the participants needed to enter the encroachment zone.},
keywords = {automated vehicles, directed signalling, external HMI, pedestrian simulator, vulnerable road users},
}
TY - CONF TI - Projection-Based External Human Machine Interfaces – Enabling Interaction between Automated Vehicles and Pedestrians AU - Dietrich, André AU - Willrodt, Jan-Henning AU - Wagner, Karolin AU - Bengler, Klaus C1 - Antibes, France C3 - Proceedings of the Driving Simulation Conference 2018 Europe VR DA - 2018/09/05 PY - 2018 SP - 43 EP - 50 LA - en-US PB - Driving Simulation Association SN - 978-2-85782-734-4 L2 - https://proceedings.driving-simulation.org/proceeding/dsc-2018/projection-based-external-human-machine-interfaces-enabling-interaction-between-automated-vehicles-and-pedestrians ER -
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