Work

Training ‘greeble’ experts: a framework for studying expert object recognition processes

Year: 1998

Type: article

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.

Source: Vision Research

DOI: 10.1016/s0042-6989(97)00442-2

Authors: Isabel Gauthier, Pepper Williams, Michael J. Tarr, James Tanaka

Institutions: Yale University, University of Massachusetts Boston, Brown University, Oberlin College

Language: English

Topic: Face Recognition and Perception

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: hybrid

Estimated APC paid: $2,940

Funders: National Science Foundation, National Institutes of Health