Name
Abstract | ||
|---|---|---|
ABSTRACT Crowdwork can enable invaluable opportunities for people with disabilities, not least the work flexibility 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. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1145/3411764.3445291 | Conference on Human Factors in Computing Systems |
Keywords | DocType | Citations |
crowdsourcing, crowdwork, AMT, MTurk, accessibility, disability | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stephen Uzor | 1 | 0 | 1.01 |
| Jason T. Jacques | 2 | 7 | 3.11 |
| John J. Dudley | 3 | 17 | 5.35 |
| Per Ola Kristensson | 4 | 1317 | 91.21 |