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Show Me the Features! Understanding Recognition from the Use of Visual Information
Philippe G. Schyns, Lizann Bonnar and Frédéric Gosselin
Vol. 13, No. 5 (Sep., 2002), pp. 402-409
Stable URL: http://www.jstor.org/stable/40063871
Page Count: 8
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We propose an approach that allows a rigorous understanding of the visual categorization and recognition process without asking direct questions about unobservable memory representations. Our approach builds on the selective use of visual information in recognition and a new method (Bubbles) to depict and measure what this information is. We examine three face-recognition tasks (identity, gender, expressive or not) and establish the componential and holistic information responsible for recognition performance. On the basis of this information, we derive task-specific gradients of probability for the allocation of attention to the different regions of the face.
Psychological Science © 2002 Association for Psychological Science