title: Evaluating Amazon's Mechanical Turk for psychological research on the symbolic control of attention.
abstract: The use of online crowdsourcing services like Amazon's Mechanical Turk (AMT) as a method of collecting behavioral data online has become increasingly popular in recent years. A growing body of contemporary research has empirically validated the use of AMT as a tool in psychological research by replicating a wide range of well-established effects that have been previously reported in controlled laboratory studies. However, the potential for AMT to be used to conduct spatial cuing experiments has yet to be investigated in depth. Spatial cuing tasks are typically very basic in terms of their stimulus complexity and experimental testing procedures, thus making them ideal for remote testing online that requires minimal task instruction. Studies employing the spatial cuing paradigm are typically aimed at unveiling novel facets of the symbolic control of attention, which occurs whenever observers orient their attention through space in accordance with the meaning of a spatial cue. Ultimately, the present study empirically validated the use of AMT to study the symbolic control of attention by successfully replicating four hallmark effects reported throughout the visual attention literature: the left/right advantage, cue type effect, cued axis effect, and cued endpoint effect. Various recommendations for future endeavors using AMT as a means of remotely collecting behavioral data online are also provided. In sum, the present study provides a crucial first step toward establishing a novel tool for conducting psychological research that can be used to expedite not only our own scientific contributions, but also those of our colleagues.
authors.affiliation: University of Notre Dame, Notre Dame, IN, USA.
authors.forename: Joseph R
authors.initials: JR
authors.lastname: Pauszek
authors.affiliation: University of Notre Dame, Notre Dame, IN, USA.
authors.forename: Pedro
authors.initials: P
authors.lastname: Sztybel
authors.affiliation: University of Notre Dame, Notre Dame, IN, USA. bgibson@nd.edu.|Department of Psychology, University of Notre Dame, 118 Haggar Hall, Notre Dame, IN, 46556, USA. bgibson@nd.edu.
authors.forename: Bradley S
authors.initials: BS
authors.lastname: Gibson
mesh_terms: D000328:Adult; D001288:Attention / Q000502:physiology*; D035843:Biomedical Research / Q000379:methods* / Q000592:standards; D063045:Crowdsourcing / Q000379:methods* / Q000592:standards; D003463:Cues; D006801:Humans; D020407:Internet; D013028:Space Perception / Q000502:physiology*; D014796:Visual Perception / Q000502:physiology*
keywords: Amazon; Crowdsourcing; Mechanical Turk; Spatial cuing; Visual attention