#6190. Pedestrians Perceptions of Autonomous Vehicle External Human-Machine Interfaces

September 2026publication date
Proposal available till 13-05-2025
4 total number of authors per manuscript0 $

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Journal’s subject area:
Engineering (all);
Materials Science (miscellaneous);
Environmental Engineering;
Computer Science (all);
Chemical Engineering (all);
Energy Engineering and Power Technology;
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More details about the manuscript: Science Citation Index Expanded or/and Social Sciences Citation Index
Abstract:
The objective of this work was to better understand pedestrians understanding, trust, comfort, and acceptance of autonomous vehicle (AV) external human-machine interfaces (eHMIs). A link between mechanical engineering (i.e., automotive engineering) and civil engineering (i.e., multimodal transportation systems) is necessary to understand the effectiveness of varying AV-to-human communication strategies. Using a within-subject experiment design, 47 participants interacted with AVs possessing one of four eHMIs in a virtual reality (VR) environment. We administered a Likert scale survey to measure participants perceptions of the eHMIs and used ordinal logistic regressions to analyze the results. We also accounted for participants gender and stated interest in AVs, novel contributions to this field of research.
Keywords:
Communication; Humanautomation interaction; Technology acceptance; Trust in automation; Vehicle automation

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