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.
Cite
@article{arxiv.1609.00945,
title = {MmmTurkey: A Crowdsourcing Framework for Deploying Tasks and Recording Worker Behavior on Amazon Mechanical Turk},
author = {Brandon Dang and Miles Hutson and Matt Lease},
journal= {arXiv preprint arXiv:1609.00945},
year = {2016}
}