Detection of change in shape: an advantage for concavities |
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Authors: | Barenholtz Elan Cohen Elias H Feldman Jacob Singh Manish |
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Affiliation: | Department of Psychology, Center for Cognitive Science, Rutgers University - New Brunswick, Piscataway, NJ 08854-8020, USA. elanbz@ruccs.rutgers.edu |
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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. |
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Keywords: | Change detection Shape Part-boundaries Convexity Concavity |
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