2016/09/04 by Brandon Dang, Dang, Brandon, Miles Hutson +4
Computer Science · #Data Stream Mining Techniques #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Mobile Crowdsensing and Crowdsourcing #Open Source Software Innovations #cs.HC
paper · pdf · doi:10.48550/arxiv.1609.00945
openalex publication_date 2016/09/04 · arxiv created 2016/10/27 · arxiv updated 2016/10/28 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Internal HITs on Mechanical Turk can be programmatically restrictive, and as a result, many requesters turn to using external HITs as a more flexible alternative. However, creating such HITs can be redundant and time-consuming. We present MmmTurkey, a framework that enables researchers to not only quickly create and manage external HITs, but more significantly also capture and record detailed worker behavioral data characterizing how each worker completes a given task.