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Detection of change in shape: an advantage for concavities
Authors:Barenholtz Elan  Cohen Elias H  Feldman Jacob  Singh Manish
Affiliation:Department of Psychology, Center for Cognitive Science, Rutgers University - New Brunswick, Piscataway, NJ 08854-8020, USA. elanbz@ruccs.rutgers.edu
Abstract:Shape representation was studied using a change detection task. Observers viewed two individual shapes in succession, either identical or one a slightly altered version of the other, and reported whether they detected a change. We found a dramatic advantage for concave compared to convex changes of equal magnitude. Observers were more accurate when a concavity along the contour was introduced, or removed, compared to a convexity. This result sheds light on the underlying representation of visual shape, and in particular the central role played by part-boundaries. Moreover, this finding shows how change detection methodology can serve as a useful tool in studying the specific form of visual representations.
Keywords:Change detection   Shape   Part-boundaries   Convexity   Concavity
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