cff-version: 1.2.0
abstract: "In a
crowdsourced experiment, the effects of distance and type of the approaching vehicle,
traffic density, and visual clutter on pedestrians’ attention distribution were
explored. 966 participants viewed 107 images of diverse traffic scenes for
durations between 100 and 4000 ms. Participants’ eye-gaze data were collected using
the TurkEyes method. The method involved briefly showing codecharts after each
image and asking the participants to type the code they saw last. The results
indicate that automated vehicles were more often glanced at than manual
vehicles. Measuring eye gaze without an eye tracker is promising."
authors:
  - family-names: Bazilinskyy
    given-names: Pavlo
    orcid: "https://orcid.org/0000-0001-9565-8240"
  - family-names: Dodou
    given-names: Dimitra
    orcid: "https://orcid.org/0000-0002-9428-3261"
  - family-names: de Winter
    given-names: Joost
    orcid: "https://orcid.org/0000-0002-1281-8200"
title: "Supplementary data for the paper 'crowdsourced gazes'"
keywords:
version: 3
identifiers:
  - type: doi
    value: 10.4121/13614824.v3
license: CC0
date-released: 2022-05-03