Effect of cognitive abilities on crowdsourcing task performance
Hettiachchi, Danula; van Berkel, Niels; Hosio, Simo; Kostakos, Vassilis; Goncalves, Jorge (2019-08-23)
Hettiachchi D., van Berkel N., Hosio S., Kostakos V., Goncalves J. (2019) Effect of Cognitive Abilities on Crowdsourcing Task Performance. In: Lamas D., Loizides F., Nacke L., Petrie H., Winckler M., Zaphiris P. (eds) Human-Computer Interaction – INTERACT 2019. INTERACT 2019. Lecture Notes in Computer Science, vol 11746. Springer, Cham. https://doi.org/10.1007/978-3-030-29381-9_28
© IFIP International Federation for Information Processing 2019. This is a post-peer-review, pre-copyedit version of an article published in Human-Computer Interaction – INTERACT 2019 17th IFIP TC 13 International Conference, Paphos, Cyprus, September 2–6, 2019, Proceedings, Part I. The final authenticated version is available online at: https://doi.org/10.1007/978-3-030-29381-9_28.
Matching crowd workers to suitable tasks is highly desirable as it can enhance task performance, reduce the cost for requesters, and increase worker satisfaction. In this paper, we propose a method that considers workers’ cognitive ability to predict their suitability for a wide range of crowdsourcing tasks. We measure cognitive ability via fast-paced online cognitive tests with a combined average duration of 6.2 min. We then demonstrate that our proposed method can effectively assign or recommend workers to five different popular crowd tasks: Classification, Counting, Proofreading, Sentiment Analysis, and Transcription. Using our approach we demonstrate a significant improvement in the expected overall task accuracy. While previous methods require access to worker history or demographics, our work offers a quick and accurate way to determine which workers are more suitable for which tasks.
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