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Displaying Vehicle Driving Mode : Effects on Pedestrian Behavior and Perceived Safety

Joisten, Philip and Alexandi, Emanuel and Drews, Robin and Klassen, Liane and Petersohn, Patrick and Pick, Alexander and Schwindt, Sarah and Abendroth, Bettina Ahram, Tarek and Karwowski, Waldemar and Pickl, Stefan and Taiar, Redha (eds.) (2019):
Displaying Vehicle Driving Mode : Effects on Pedestrian Behavior and Perceived Safety. (Postprint)
In: Advances in Intelligent Systems and Computing, 1026, In: Human Systems Engineering and Design II, pp. 250-256,
Cham, Springer, 2nd International Conference on Human Systems Engineering and Design (IHSED2019): Future Trends and Applications, München, September 16-18, 2019, ISBN 978-3-030-27928-8,
DOI: 10.25534/tuprints-00013460,
[Conference or Workshop Item]

Abstract

The type and amount of information pedestrians should receive while interacting with an autonomous vehicle (AV) remains an unsolved challenge. The infor-mation about the vehicle driving mode could help pedestrians to develop the right expectations regarding further actions. The aim of this study is to investigate how the information about the vehicle driving mode affects pedestrian crossing behav-ior and perceived safety. A controlled field experiment using a Wizard-of-Oz ap-proach to simulate a driverless vehicle was conducted. 28 participants experienced a driverless and a human-operated vehicle from the perspective of a pedestrian. The vehicle was equipped with an external human machine interface (eHMI) that displayed the driving mode of the vehicle (driverless vs. human-operated). The results show that the crossing behavior, measured by critical gap acceptance, and the subjective reporting of perceived safety did not differ statistically significantly between the driverless and the human-operated driving condition.

Item Type: Conference or Workshop Item
Erschienen: 2019
Editors: Ahram, Tarek and Karwowski, Waldemar and Pickl, Stefan and Taiar, Redha
Creators: Joisten, Philip and Alexandi, Emanuel and Drews, Robin and Klassen, Liane and Petersohn, Patrick and Pick, Alexander and Schwindt, Sarah and Abendroth, Bettina
Origin: Secondary publication service
Status: Postprint
Title: Displaying Vehicle Driving Mode : Effects on Pedestrian Behavior and Perceived Safety
Language: English
Abstract:

The type and amount of information pedestrians should receive while interacting with an autonomous vehicle (AV) remains an unsolved challenge. The infor-mation about the vehicle driving mode could help pedestrians to develop the right expectations regarding further actions. The aim of this study is to investigate how the information about the vehicle driving mode affects pedestrian crossing behav-ior and perceived safety. A controlled field experiment using a Wizard-of-Oz ap-proach to simulate a driverless vehicle was conducted. 28 participants experienced a driverless and a human-operated vehicle from the perspective of a pedestrian. The vehicle was equipped with an external human machine interface (eHMI) that displayed the driving mode of the vehicle (driverless vs. human-operated). The results show that the crossing behavior, measured by critical gap acceptance, and the subjective reporting of perceived safety did not differ statistically significantly between the driverless and the human-operated driving condition.

Title of Book: Human Systems Engineering and Design II
Series Name: Advances in Intelligent Systems and Computing
Volume: 1026
Place of Publication: Cham
Publisher: Springer
ISBN: 978-3-030-27928-8
Divisions: 16 Department of Mechanical Engineering
16 Department of Mechanical Engineering > Ergonomics (IAD)
16 Department of Mechanical Engineering > Ergonomics (IAD) > Vehicle Ergonomics
Event Title: 2nd International Conference on Human Systems Engineering and Design (IHSED2019): Future Trends and Applications
Event Location: München
Event Dates: September 16-18, 2019
Date Deposited: 30 Nov 2020 15:11
DOI: 10.25534/tuprints-00013460
Official URL: https://tuprints.ulb.tu-darmstadt.de/13460
URN: urn:nbn:de:tuda-tuprints-134607
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