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      Striving to Earn More: A Survey of Work Strategies and Tool Use Among Crowd Workers

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          Abstract

          Earning money is a primary motivation for workers on Amazon Mechanical Turk, but earning a good wage is difficult because work that pays well is not easily identified and can be time-consuming to find. We explored the strategies that both low- and high-earning workers use to find and complete tasks via a survey of 360 workers. Nearly all workers surveyed had earning money as their primary goal, and workers used many of the same tools (browser extensions and scripts) and strategies in an attempt to earn more money, regardless of earning level. However, high-earning workers used more tools, were more involved in worker communities, and more heavily used batch completion strategies. A natural next step is to use automated systems to assist workers with finding and completing tasks. Workers found this idea interesting, but expressed concerns about impact on the quality of their work and whether using automated tools to support them would violate platform rules. We conclude with ideas for future work in supporting workers to earn more and design considerations for such tools.

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          Author and article information

          Journal
          Proceedings of the AAAI Conference on Human Computation and Crowdsourcing
          HCOMP
          Association for the Advancement of Artificial Intelligence (AAAI)
          2769-1349
          2769-1330
          July 09 2018
          June 15 2018
          : 6
          : 70-78
          Article
          10.1609/hcomp.v6i1.13327
          450ad3c3-66cc-4127-a82f-f84a7b5b9e9d
          © 2018
          History

          Evolutionary Biology,Medicine
          Evolutionary Biology, Medicine

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