Multi-Modal eHMIs: The Relative Impact of Light and Sound in AV-Pedestrian Interaction
Debargha Dey, Toros Ufuk Senan, Bart Hengeveld, Mark Colley, Azra Habibovic, Wendy Ju
摘要
External Human-Machine Interfaces (eHMIs) have been evaluated to facilitate interactions between Automated Vehicles (AVs) and pedestrians. Most eHMIs are, however, visual/ light-based solutions, and multi-modal eHMIs have received little attention to date. We ran an experimental video study (N = 29) to systematically understand the effect on pedestrian’s willingness to cross the road and user preferences of a light-based eHMI (light bar on the bumper) and two sound-based eHMIs (bell sound and droning sound), and combinations thereof. We found no objective change in pedestrians’ willingness to cross the road based on the nature of eHMI, although people expressed different subjective preferences for the different ways an eHMI may communicate, and sometimes even strong dislike for multi-modal eHMIs. This shows that the modality of the evaluated eHMI concepts had relatively little impact on their effectiveness. Consequently, this lays an important groundwork for accessibility considerations of future eHMIs, and points towards the insight that provisions can be made for taking user preferences into account without compromising effectiveness.
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引用它的顶会 Paper9
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它引用的顶会 Paper6
- Color and Animation Preferences for a Light Band eHMI in Interactions Between Automated Vehicles and PedestriansDebargha Dey, Azra Habibovic, Bastian Pfleging, Marieke H. Martens 等CHI 2020 · 被引用 146 次
- A Taxonomy of Vulnerable Road Users for HCI Based On A Systematic Literature ReviewKai Holländer, Mark Colley, Enrico Rukzio, Andreas ButzCHI 2021 · 被引用 99 次
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