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dc.contributor.authorUzor, Stephen
dc.contributor.authorJacques, Jason T.
dc.contributor.authorDudley, John J.
dc.contributor.authorKristensson, Per Ola
dc.contributor.editorBjørn, Pernille
dc.contributor.editorDrucker, Steven
dc.date.accessioned2022-09-30T15:30:06Z
dc.date.available2022-09-30T15:30:06Z
dc.date.issued2021-05-06
dc.identifier281309003
dc.identifierdad4d1a2-ca1e-4472-8a6a-2c33d844e2bb
dc.identifier85106748823
dc.identifier.citationUzor , S , Jacques , J T , Dudley , J J & Kristensson , P O 2021 , Investigating the accessibility of crowdwork tasks on Mechanical Turk . in P Bjørn & S Drucker (eds) , CHI '21 : proceedings of the 2021 CHI conference on human factors in computing systems . , 381 , Conference on human factors in computing systems - proceedings , ACM , 2021 CHI Conference on Human Factors in Computing Systems , Virtual, Online , Japan , 8/05/21 . https://doi.org/10.1145/3411764.3445291en
dc.identifier.citationconferenceen
dc.identifier.isbn9781450380966
dc.identifier.issn1062-9432
dc.identifier.otherORCID: /0000-0003-3496-7060/work/120849429
dc.identifier.urihttps://hdl.handle.net/10023/26115
dc.descriptionFunding: This work was supported by the EPSRC (grants EP/R004471/1 and EP/S027432/1). Supporting data for this publication is available at https://doi.org/10.17863/CAM.62937.en
dc.description.abstractCrowdwork can enable invaluable opportunities for people with disabilities, not least the work fexibility and the ability to work from home, especially during the current Covid-19 pandemic. This paper investigates how engagement in crowdwork tasks is affected by individual disabilities and the resulting implications for HCI. We first surveyed 1,000 Amazon Mechanical Turk (AMT) workers to identify demographics of crowdworkers who identify as having various disabilities within the AMT ecosystem-including vision, hearing, cognition/mental, mobility, reading and motor impairments. Through a second focused survey and follow-up interviews, we provide insights into how respondents cope with crowdwork tasks. We found that standard task factors, such as task completion time and presentation, often do not account for the needs of users with disabilities, resulting in anxiety and a feeling of depression on occasion. We discuss how to alleviate barriers to enable effective interaction for crowdworkers with disabilities.
dc.format.extent14
dc.format.extent1158690
dc.language.isoeng
dc.publisherACM
dc.relation.ispartofCHI '21en
dc.relation.ispartofseriesConference on human factors in computing systems - proceedingsen
dc.subjectAccessibilityen
dc.subjectAmten
dc.subjectCrowdsourcingen
dc.subjectCrowdworken
dc.subjectDisabilityen
dc.subjectMTurken
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectQA76 Computer softwareen
dc.subjectComputer Graphics and Computer-Aided Designen
dc.subjectHuman-Computer Interactionen
dc.subjectSoftwareen
dc.subjectDASen
dc.subjectNISen
dc.subjectMCCen
dc.subject.lccQA75en
dc.subject.lccQA76en
dc.titleInvestigating the accessibility of crowdwork tasks on Mechanical Turken
dc.typeConference itemen
dc.contributor.institutionUniversity of St Andrews. School of Computer Scienceen
dc.identifier.doi10.1145/3411764.3445291
dc.identifier.urlhttps://dl.acm.org/doi/proceedings/10.1145/3411764en


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