Impact of eHMI on Pedestrians’ Interactions with Level-5 Automated Driving Systems
Each year, over half of global traffic fatalities involve vulnerable road users (e.g., pedestrians), often due to human error. Level-5 automated driving systems (ADSs) could reduce driver errors contributing to pedestrian accidents, though effectiveness depends on clarity and understandability for other road users. External human-machine interfaces (eHMIs) have been proposed to facilitate pedestrian-ADS communication, though consensus on optimal eHMI features remains unclear. In an online survey, 153 participants responded to road-crossing scenarios involving level-5 ADSs, with and without eHMIs. With eHMIs, pedestrians crossed earlier and more confidently, and reported significantly increased perceptions of safety, trust, and understanding when interacting with level-5 ADSs. Visual eHMI features (including a text display and external speedometer) were ranked more necessary than auditory ones, though auditory cues received positive feedback. This study demonstrates that eHMIs can significantly improve pedestrians’ understanding of level-5 ADS intent and enhance perceived safety and trust, facilitating more intuitive pedestrian-ADS interactions.
Authors
- Griffin Pitts (ORCID: https://orcid.org/0009-0004-3111-6118)
- Viktoria Marcus (ORCID: https://orcid.org/0000-0003-1997-8108)
- Sanaz Motamedi (ORCID: https://orcid.org/0009-0005-0938-9029)
Institutions
- Pennsylvania State University (US)
- University of Florida (US)
Publication Details
- Journal
- Proceedings of the Human Factors and Ergonomics Society Annual Meeting
- Published
- 2025-09-01
- DOI
- https://doi.org/10.1177/10711813251369865
- Citations
- 1
- Primary Topic
- Human-Automation Interaction and Safety
- Type
- article
- Field-Weighted Citation Impact
- 2.44