Visual Attention of Pedestrians in Traffic Scenes: A Crowdsourcing Experiment

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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.
Original languageEnglish
Title of host publicationAdvances in Human Aspects of Transportation
Subtitle of host publicationProceedings of the AHFE 2021 Virtual Conference on Human Aspects of Transportation, July 25-29, 2021, USA
EditorsNeville Stanton
Place of PublicationCham, Switzerland
PublisherSpringer
Pages147-154
ISBN (Electronic)978-3-030-80012-3
ISBN (Print)978-3-030-80011-6
DOIs
Publication statusPublished - 2021
EventAHFE 2021: International Conference on Applied Human Factors and Ergonomics (Virtual) -
Duration: 25 Jul 202129 Jul 2021

Publication series

NameLecture Notes in Networks and Systems
Volume270
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

ConferenceAHFE 2021: International Conference on Applied Human Factors and Ergonomics (Virtual)
Period25/07/2129/07/21

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care

Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

  • Eye gazes
  • Pedestrians
  • Automated driving
  • Crowdsourcing

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