An open platform for science on Amazon Mechanical Turk.
Public data and code releases from the Optimizing Memory using Neural Information (OMNI) project (http://gureckislab.org/omni)
Whoops ya'll is a psiTurk compatible experiment for paying people when an experiment goes badly for some reason. You enter the workerIds of people who you owe money to and can reject all others. Payment is handled quickly and easily via psiTurk's command line features. When you make a whoops, use "whoops ya'll"
Code to run "mushroom-foraging" games testing people's sensitivity to the future value of information in finite-horizon and infinite-horizon settings.
A version of the SUSTAIN model of category learning (Love, Medin, & Gureckis, 2004) implemented in Python
Methods paper for psiTurk
Workshop by the NYU Computation and Cognition Lab about our framework for running behavioral experiments on Amazon's Mechanical Turk service.
A simple python library for developing psychology experiments.
a psiturk-compatible experiment based on the drawtogether crowdsource program by @dmarkant
A general-purpose library for implementing counterbalancing for web-based and lab-based behavioral experiments
a demo psiturk "stroop"-type experiment
PlanOut is a library and interpreter for designing online experiments.
Code and data from information search experiments conducted at NYU Computational Cognition Lab by Doug Markant and Todd Gureckis.
App for running online experiments with OpenShift and Mechanical Turk
The experiments and iPython analysis notebooks for Experiments 8–10 of Crump, McDonnell, and Gureckis (2013). doi:10.1371/journal.pone.0057410
Sifteo Blicket Tutorial