TurkServer: Enabling Synchronous and Longitudinal Online Experiments

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TurkServer: Enabling Synchronous and Longitudinal Online Experiments

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Title: TurkServer: Enabling Synchronous and Longitudinal Online Experiments
Author: Parkes, David C.; Mao, Andrew; Chen, Yiling; Gajos, Krzysztof Z; Procaccia, Ariel; Zhang, Haoqi

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Citation: Mao, Andrew, Yiling Chen, Krzysztof Z. Gajos, David Parkes, Ariel D. Procaccia, and Haoqi Zhang. 2012. TurkServer: Enabling synchronous and longitudinal online experiments. Proceedings of the Fourth Workshop on Human Computation (HCOMP '12), July 22, 2012 – July 23, 2012, Ontario, Canada. AAAI Technical Report WS-12-08.
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Abstract: 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 online 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.
Published Version: http://www.aaai.org/ocs/index.php/WS/AAAIW12/paper/view/5315
Terms of Use: This article is made available under the terms and conditions applicable to Open Access Policy Articles, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#OAP
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:11956911
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