With the proliferation of online labor markets and other social computing platforms, online experiments have become a low-cost and scalable way to empirically test hypotheses and mechanisms in both human computation and social science. Yet, despite the potential in designing more powerful and expressive on-line experiments using multiple subjects, researchers still face many technical and logistical difficulties. We see synchronous and longitudinal experiments involving real-time interaction between participants as a dual-use paradigm for both human computation and social science, and present TurkServer, a platform that facilitates these types of experiments on Amazon Mechanical Turk. Our work has the potential to make more fruitful online experiments accessible to researchers in many different fields.
A. Mao, Y. Chen, K.Z. Gajos, D.C. Parkes, A.D. Procaccia, and H. Zhang. Turkserver: Enabling synchronous and longitudinal online experiments. In Proceedings of HCOMP'12, 2012.BibTeX