Evaluating Amazon's Mechanical Turk as a Tool for Experimental Behavioral Research
Brooklyn College · New York University
Abstract
Amazon Mechanical Turk (AMT) is an online crowdsourcing service where anonymous online workers complete web-based tasks for small sums of money. The service has attracted attention from experimental psychologists interested in gathering human subject data more efficiently. However, relative to traditional laboratory studies, many aspects of the testing environment are not under the experimenter's control. In this paper, we attempt to empirically evaluate the fidelity of the AMT system for use in cognitive behavioral experiments. These types of experiment differ from simple surveys in that they require multiple trials, sustained attention from participants, comprehension of complex instructions, and millisecond…
Citation impact
- FWCI
- 195.78
- Percentile
- 100%
- References
- 54
Authors
3Topics & keywords
- Crowdsourcing
- Computer science
- Stroop effect
- Comprehension
- Cognitive psychology
- Fidelity
- Psychology
- Cognition