TU Darmstadt / ULB / TUbiblio

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, Tareq and Karwowski, Waldemar and Pickl, Stefan and Taiar, Redha (eds.) (2020):
Displaying Vehicle Driving Mode - Effects on Pedestrian Behavior and Perceived Safety.
In: Human Systems Engeneering and Design II, Cham, Switzerland, Springer Natur Switzland AG, In: Proceedings of the 2nd International Conference on Human Systems Engineering and Design (IHSED2019): Future Trends and Applications, Universität der Bundeswehr München, München, Deutschland, 'September 16 - 18, 2019, In: Advances in Intelligent Systems and Computing, Volume 1026, ISSN 2194-5357,
ISBN 978-3-030-27927-1,
DOI: 10.1007/978-3-030-27928-8_38,
[Online-Edition: https://link.springer.com/book/10.1007/978-3-030-27928-8#toc],
[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 information 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 behavior and perceived safety. A controlled field experiment using a Wizard-of-Oz approach 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: 2020
Editors: Ahram, Tareq 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
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 information 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 behavior and perceived safety. A controlled field experiment using a Wizard-of-Oz approach 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 Engeneering and Design II
Series Name: Advances in Intelligent Systems and Computing
Volume: Volume 1026
Place of Publication: Cham, Switzerland
Publisher: Springer Natur Switzland AG
ISBN: 978-3-030-27927-1
Uncontrolled Keywords: Vehicle Driving Mode · Automation Status · Pedestrian Behavior · Perceived Safety · Human Machine Interface · Human Machine Interaction
Divisions: 16 Department of Mechanical Engineering
16 Department of Mechanical Engineering > Ergonomics (IAD)
Event Title: Proceedings of the 2nd International Conference on Human Systems Engineering and Design (IHSED2019): Future Trends and Applications
Event Location: Universität der Bundeswehr München, München, Deutschland
Event Dates: 'September 16 - 18, 2019
Date Deposited: 03 Sep 2019 05:48
DOI: 10.1007/978-3-030-27928-8_38
Official URL: https://link.springer.com/book/10.1007/978-3-030-27928-8#toc
Export:
Suche nach Titel in: TUfind oder in Google

Optionen (nur für Redakteure)

View Item View Item