Should automated vehicles communicate their state or intent? Effects of eHMI activations and non-activations on pedestrians’ trust formation and crossing behavior

Abstract In recent years, there has been a debate on whether automated vehicles (AVs) should be equipped with novel external human–machine interfaces (eHMIs). Many studies have demonstrated how eHMIs influence pedestrians’ attitudes (e.g., trust in AVs) and behavior when they activate (e.g., encourage crossing by lighting up). However, very little attention has been paid to their effects when they do not activate (e.g., discourage crossing by not lighting up). We conducted a video-based laboratory study with a mixed design to explore the potential of two different eHMI messages to facilitate pedestrian-AV interactions by means of activating or not activating. Our participants watched videos of an approaching AV equipped with either a state eHMI (“I am braking”) or intent eHMI (“I intend to yield to you”) from the perspective of a pedestrian about to cross the road. They indicated when they would initiate crossing and repeatedly rated their trust in the AV. Our results show that the activation of both the state and intent eHMI was effective in communicating the AV’s intent to yield and both eHMIs drew attention to a failure to yield when they did not activate. However, the two eHMIs differed in their potential to mislead pedestrians, as decelerations accompanied by the activation of the state eHMI were repeatedly misinterpreted as an intention to yield. Despite this, user experience ratings did not differ between the eHMIs. Following a failure to yield, trust declined sharply. In subsequent trials, crossing behavior recovered quickly, while trust took longer to recover.

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Publication Details

Journal
Multimedia Tools and Applications
Published
2024-12-18
DOI
https://doi.org/10.1007/s11042-024-20497-0
Citations
5
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
3.22

Funders

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article

Should automated vehicles communicate their state or intent? Effects of eHMI activations and non-activations on pedestrians’ trust formation and crossing behavior

Tibor Petzoldt, Daniel Eisele, Johannes Kraus, Magdalena Maria Schlemer
5 citations
Multimedia Tools and Applications
Human-Automation Interaction and Safety
3.22
article

Should automated vehicles communicate their state or intent? Effects of eHMI activations and non-activations on pedestrians’ trust formation and crossing behavior

Tibor Petzoldt, Daniel Eisele, Johannes Kraus, Magdalena Maria Schlemer
article en
5 citations

Abstract

Abstract In recent years, there has been a debate on whether automated vehicles (AVs) should be equipped with novel external human–machine interfaces (eHMIs). Many studies have demonstrated how eHMIs influence pedestrians’ attitudes (e.g., trust in AVs) and behavior when they activate (e.g., encourage crossing by lighting up). However, very little attention has been paid to their effects when they do not activate (e.g., discourage crossing by not lighting up). We conducted a video-based laboratory study with a mixed design to explore the potential of two different eHMI messages to facilitate pedestrian-AV interactions by means of activating or not activating. Our participants watched videos of an approaching AV equipped with either a state eHMI (“I am braking”) or intent eHMI (“I intend to yield to you”) from the perspective of a pedestrian about to cross the road. They indicated when they would initiate crossing and repeatedly rated their trust in the AV. Our results show that the activation of both the state and intent eHMI was effective in communicating the AV’s intent to yield and both eHMIs drew attention to a failure to yield when they did not activate. However, the two eHMIs differed in their potential to mislead pedestrians, as decelerations accompanied by the activation of the state eHMI were repeatedly misinterpreted as an intention to yield. Despite this, user experience ratings did not differ between the eHMIs. Following a failure to yield, trust declined sharply. In subsequent trials, crossing behavior recovered quickly, while trust took longer to recover.

Multimedia Tools and ApplicationsVol. 84(21)
Universität Ulm (DE), Technische Universität Dresden (DE)
Bundesministerium für Bildung und Forschung, Technische Universität Dresden
Openalex Percentile: Top 8%
Human-Automation Interaction and Safety
3.22
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