Abstract
Crowdwork 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.
Original language | English |
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Title of host publication | CHI '21 |
Subtitle of host publication | proceedings of the 2021 CHI conference on human factors in computing systems |
Editors | Pernille Bjørn, Steven Drucker |
Publisher | ACM |
Number of pages | 14 |
ISBN (Print) | 9781450380966 |
DOIs | |
Publication status | Published - 6 May 2021 |
Event | 2021 CHI Conference on Human Factors in Computing Systems: Making Waves, Combining Strengths, - Virtual, Online, Japan Duration: 8 May 2021 → 13 May 2021 https://chi2021.acm.org/ |
Publication series
Name | Conference on human factors in computing systems - proceedings |
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ISSN (Print) | 1062-9432 |
Conference
Conference | 2021 CHI Conference on Human Factors in Computing Systems |
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Abbreviated title | CHI 2021 |
Country/Territory | Japan |
City | Virtual, Online |
Period | 8/05/21 → 13/05/21 |
Internet address |
Keywords
- Accessibility
- Amt
- Crowdsourcing
- Crowdwork
- Disability
- MTurk
Fingerprint
Dive into the research topics of 'Investigating the accessibility of crowdwork tasks on Mechanical Turk'. Together they form a unique fingerprint.Datasets
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Mechanical Turk Accessibility (CHI 2021) Dataset
Uzor, S. (Contributor), Jacques, J. (Contributor), Kristensson, P. O. (Contributor) & Dudley, J. (Contributor), Apollo Cambridge, 12 Jan 2021
DOI: 10.17863/cam.62937, https://www.repository.cam.ac.uk/1810/316069
Dataset