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Online data collection has begun to revolutionize the behavioral sciences. However, conducting carefully controlled behavioral experiments online introduces a number of new of technical and scientific challenges. The project described in this paper, psiTurk, is an open-source platform which helps researchers develop experiment designs which can be conducted(More)
Prominent computational models describe a neural mechanism for learning from reward prediction errors, and it has been suggested that variations in this mechanism are reflected in personality factors such as trait extraversion. However, although trait extraversion has been linked to improved reward learning, it is not yet known whether this relationship is(More)
Active machine learning research shows that training of classifiers can be improved when the learning algorithm itself selects training data (e.g., choosing examples for which it is uncertain). Recent work with humans documents similar improvements whereby " active " learners who can select their own training examples are faster at learning simple(More)
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