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Selectivity of Face Distortion Aftereffects for Differences in Expression or Gender

Overview of attention for article published in Frontiers in Psychology, January 2012
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Title
Selectivity of Face Distortion Aftereffects for Differences in Expression or Gender
Published in
Frontiers in Psychology, January 2012
DOI 10.3389/fpsyg.2012.00014
Pubmed ID
Authors

Megan A. Tillman, Michael A. Webster

Abstract

The perceived configuration of a face can be strongly biased by prior adaptation to a face with a distorted configuration. These aftereffects have been found to be weaker when the adapt and test faces differ along a number of dimensions. We asked whether the adaptation shows more transfer between faces that share a common identity, by comparing the strength of aftereffects when the adapt and test faces differed either in expression (a configural change in the same face identity) or gender (a configural change between identities). Observers adapted to expanded or contracted images of either male or female faces with either happy or fearful expressions, and then judged the perceived configuration in either the same faces or faces with a different gender and/or expression. The adaptation included exposure to a single face (e.g., expanded happy) or to alternated faces where the distortion was contingent on the attribute (e.g., expanded happy versus contracted fearful). In all cases the aftereffects showed strong transfer and thus only weak selectivity. However, selectivity was equal or stronger for the change in expression than gender. Our results thus suggest that the distortion aftereffects between faces can be weakly modulated by both variant and invariant attributes of the face.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 7%
Unknown 25 93%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 22%
Student > Ph. D. Student 5 19%
Student > Doctoral Student 4 15%
Professor 4 15%
Lecturer 3 11%
Other 4 15%
Unknown 1 4%
Readers by discipline Count As %
Psychology 21 78%
Neuroscience 2 7%
Arts and Humanities 1 4%
Medicine and Dentistry 1 4%
Unknown 2 7%