External Human-Machine Interfaces on Automated Vehicles: Effects on Pedestrian Crossing Decisions.

ABSTRACT: OBJECTIVE:In this article, we investigated the effects of external human-machine interfaces (eHMIs) on pedestrians' crossing intentions. BACKGROUND:Literature suggests that the safety (i.e., not crossing when unsafe) and efficiency (i.e., crossing when safe) of pedestrians' interactions with automated vehicles could increase if automated vehicles display their intention via an eHMI. METHODS:Twenty-eight participants experienced an urban road environment from a pedestrian's perspective using a head-mounted display. The behavior of approaching vehicles (yielding, nonyielding), vehicle size (small, medium, large), eHMI type (1. baseline without eHMI, 2. front brake lights, 3. Knightrider animation, 4. smiley, 5. text [WALK]), and eHMI timing (early, intermediate, late) were varied. For yieldi

SUBMITTER: de Clercq K 

PROVIDER: S-EPMC6820125 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature