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How do eHMIs affect pedestrians' crossing behavior? A study using a head-mounted display combined with a motion suit

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Version 2 2024-06-05, 11:45
Version 1 2021-10-24, 11:55
journal contribution
posted on 2024-06-05, 11:45 authored by L Kooijman, R Happee, JCF de Winter
In future trac, automated vehicles may be equipped with external human-machine interfaces (eHMIs) that can communicate with pedestrians. Previous research suggests that, during first encounters, pedestrians regard text-based eHMIs as clearer than light-based eHMIs. However, in much of the previous research, pedestrians were asked to imagine crossing the road, and unable or not allowed to do so. We investigated the effects of eHMIs on participants’ crossing behavior. Twenty-four participants were immersed in a virtual urban environment using a head-mounted display coupled to a motion-tracking suit. We manipulated the approaching vehicles’ behavior (yielding, nonyielding) and eHMI type (None, Text, Front Brake Lights). Participants could cross the road whenever they felt safe enough to do so. The results showed that forward walking velocities, as recorded at the pelvis, were, on average, higher when an eHMI was present compared to no eHMI if the vehicle yielded. In nonyielding conditions, participants showed a slight forward motion and refrained from crossing. An analysis of participants’ thorax angle indicated rotation towards the approaching vehicles and subsequent rotation towards the crossing path. It is concluded that results obtained via a setup in which participants can cross the road are similar to results from survey studies, with eHMIs yielding a higher crossing intention compared to no eHMI. The motion suit allows investigating pedestrian behaviors related to bodily attention and hesitation.

History

Journal

Information (Switzerland)

Volume

10

Article number

ARTN 386

Pagination

1-18

Location

Basel, Switzerland

Open access

  • Yes

eISSN

2078-2489

Language

English

Publication classification

C1 Refereed article in a scholarly journal

Issue

12

Publisher

MDPI

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