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Summary: Journal of Biological Systems, Vol.4, No#, pages ***--***. c
fl
MANIPULATING FACE GENDER: EFFECTS ON
CATEGORIZATION AND RECOGNITION JUDGMENTS
Kenneth A. Deffenbacher \Lambda , Cheryl Hendrickson \Lambda , Alice J. O'Toole y ,
David P. Huff y , and Herv' e Abdi y
\Lambda Department of Psychology, University of Nebraska at Omaha, Omaha, NE 681820274, USA
and
y School of Human Development, GR4.1, The University of Texas at Dallas, Richardson, TX
700830688, USA
abstract
Previous research has shown that faces coded as pixelbased images may
be constructed from an appropriately weighted combination of statistical
``features'' (eigenvectors) which are useful for discriminating members of
a learned set of images. We have shown previously that two of the most
heavily weighted features are important in predicting face gender. Using
a simple computational model, we adjusted weightings of these features
in more masculine and more feminine directions for both male and fe
male adult Caucasian faces. In Experiment 1, crossgender face image
alterations (e.g., feminizing male faces) reduced both gender classifica
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