External Human-Machine-Interfaces on Automated Vehicles: Which message and perspective do pedestrians in crossing situations understand best?

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

Contributors

Abstract

In the future, external-Human-Machine-Interfaces (eHMIs) may facilitate the communication between automated vehicles (AVs) and nearby pedestrians. The aim of this study was to investigate which messages (AVs’ intention to yield or not to yield) and perspective (does the message refer to the behavior of the vehicle or the behavior that is expected of the pedestrian) of eHMIs are understood best in terms of objective comprehension, subjective comprehensibility, and speed. Participants in an online study (N = 85) indicated whether they can safely cross or not in reaction to six different eHMI icons. Messages that tell them to cross the street were understood better and faster compared to those that instructed them not to do so. Those referring to the pedestrian were best understood objectively as well as subjectively. We advise caution regarding eHMIs that communicate that the AV is not yielding / that the pedestrian cannot cross.

Details

Original languageEnglish
Title of host publicationIntelligent Human Systems Integration (IHSI 2022): Integrating People and Intelligent Systems. AHFE International
Publication statusPublished - 2022
Peer-reviewedYes

External IDs

Mendeley fe495d92-aad0-35d3-9b12-6a8fee118905
ORCID /0000-0002-1751-3342/work/142250063
Scopus 105036031928