Visual Attention of Pedestrians in Traffic Scenes: A Crowdsourcing Experiment.

Pavlo Bazilinskyy, Dimitra Dodou, Joost C. F. de Winter

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    1 Citaat (Scopus)

    Samenvatting

    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.

    Originele taal-2Engels
    TitelAdvances in Human Aspects of Transportation - Proceedings of the AHFE 2021
    RedacteurenNeville Stanton
    Pagina's147-154
    Aantal pagina's8
    DOI's
    StatusGepubliceerd - 2021

    Publicatie series

    NaamLecture Notes in Networks and Systems
    Volume270
    ISSN van geprinte versie2367-3370
    ISSN van elektronische versie2367-3389

    Bibliografische nota

    DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

    Financiering

    Acknowledgement. This research is supported by grant 016.Vidi.178.047 (“How should automated vehicles communicate with other road users?”), which is financed by the Netherlands Organisation for Scientific Research (NWO).

    FinanciersFinanciernummer
    Nederlandse Organisatie voor Wetenschappelijk Onderzoek

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