%0 Generic
%A Bazilinskyy, Pavlo
%A Dodou, Dimitra
%A de Winter, Joost
%D 2022
%T Supplementary data for the paper 'Crowdsourced assessment of 227 text-based eHMIs for a crossing scenario'
%U https://data.4tu.nl/articles/dataset/Supplementary_data_for_the_paper_Crowdsourced_assessment_of_227_text-based_eHMIs_for_a_crossing_scenario_/19102133/2
%R 10.4121/19102133.v2
%K eHMI
%K Text
%K Crowdsourcing
%K Automated driving
%K Crossing scenario
%X Future automated
vehicles may be equipped with external human-machine interfaces (eHMIs) capable
of signaling whether pedestrians can cross the road. Industry and academia have
proposed a variety of eHMIs featuring a text message. An eHMI message can refer
to the action to be performed by the pedestrian (egocentric message) or the
automated vehicle (allocentric message). Currently, there is no consensus on
the correct phrasing of the text message. We created 227 eHMIs based on
text-based eHMIs observed in the literature. A crowdsourcing experiment (<i>N</i> = 1241) was performed with images
depicting an automated vehicle equipped with an eHMI on the front bumper. The
participants indicated whether they would (not) cross the road, and response
times were recorded. Egocentric messages were found to be more compelling for
participants to (not) cross than allocentric messages. Furthermore, Spanish-speaking
participants found Spanish eHMIs more compelling than English eHMIs. Finally,
it was established that some eHMI texts should be avoided, as signified by
compellingness, long responses, and high inter-subject variability.
%I 4TU.ResearchData