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Training 'greeble' experts: a framework for studying expert object recognition processes.

I Gauthier·P Williams·M J Tarr·J Tanaka
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Abstract

Twelve participants were trained to be experts at identifying a set of 'Greebles', novel objects that, like faces, all share a common spatial configuration. Tests comparing expert with novice performance revealed: (1) a surprising mix of generalizability and specificity in expert object recognition processes; and (2) that expertise is a multi-faceted phenomenon, neither adequately described by a single term nor adequately assessed by a single task. Greeble recognition by a simple neural-network model is also evaluated, and the model is found to account surprisingly well for both generalization and individuation using a single set of processes and representations.

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Computer SimulationDiscrimination, PsychologicalForm PerceptionHumansLearningMemoryReaction TimeJournal ArticleResearch Support, U.S. Gov't, Non-P.H.S.Research Support, U.S. Gov't, P.H.S.

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BibTeXRIS

I Gauthier, P Williams, M J Tarr, J Tanaka. 1998. Training 'greeble' experts: a framework for studying expert object recognition processes.. https://doi.org/10.1016/s0042-6989(97)00442-2

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