Running into Traffic: Investigating External Human-Machine Interfaces for Automated Vehicle-Runner Interaction

TL;DR

This study investigates how different external human-machine interfaces (eHMIs) on automated vehicles affect pedestrian and runner interactions, revealing that runners rely more on eHMI cues due to time pressure and prefer color changes for quick decisions.

Contribution

The paper provides new insights into eHMI effectiveness for runners, a pedestrian group less studied, highlighting design preferences and behavioral responses under real-world conditions.

Findings

No-eHMI underperformed in conveying intent.

Walkers validated eHMI signals with vehicle behavior.

Runners relied more on eHMI cues due to time pressure.

Abstract

Automated vehicles (AVs) must communicate their yielding intentions to pedestrians at crossings. External Human-Machine Interfaces (eHMIs, on-vehicle displays) are promising solutions, but were primarily tested with walking pedestrians. Runners are a significant pedestrian group who move faster and face distinct bodily and perceptual demands, raising questions about how pedestrian activity influences eHMI use. We conducted an outdoor study using an augmented reality simulator. Participants navigated a virtual crossing while walking and running; an approaching AV displayed one of three eHMIs: red/green colour-changing lights, animated cyan lights, or no-eHMI. No-eHMI consistently underperformed. Walkers mostly stopped and validated eHMI signals with vehicle behaviour; they processed both eHMI animations and colour changes effectively. Runners experienced greater time pressure to cross, increasing reliance on the eHMI over vehicle behaviour. They preferred colour changes over animation for rapid decisions. These findings are crucial for promoting eHMI inclusivity and physical wellbeing as AVs join our roads.