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Cross-Category Adaptation: Objects Produce Gender Adaptation in the Perception of Faces

Overview of attention for article published in PLOS ONE, September 2012
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Title
Cross-Category Adaptation: Objects Produce Gender Adaptation in the Perception of Faces
Published in
PLOS ONE, September 2012
DOI 10.1371/journal.pone.0046079
Pubmed ID
Authors

Amir Homayoun Javadi, Natalie Wee

Abstract

Adaptation aftereffects have been found for low-level visual features such as colour, motion and shape perception, as well as higher-level features such as gender, race and identity in domains such as faces and biological motion. It is not yet clear if adaptation effects in humans extend beyond this set of higher order features. The aim of this study was to investigate whether objects highly associated with one gender, e.g. high heels for females or electric shavers for males can modulate gender perception of a face. In two separate experiments, we adapted subjects to a series of objects highly associated with one gender and subsequently asked participants to judge the gender of an ambiguous face. Results showed that participants are more likely to perceive an ambiguous face as male after being exposed to objects highly associated to females and vice versa. A gender adaptation aftereffect was obtained despite the adaptor and test stimuli being from different global categories (objects and faces respectively). These findings show that our perception of gender from faces is highly affected by our environment and recent experience. This suggests two possible mechanisms: (a) that perception of the gender associated with an object shares at least some brain areas with those responsible for gender perception of faces and (b) adaptation to gender, which is a high-level concept, can modulate brain areas that are involved in facial gender perception through top-down processes.

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The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 62 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 21%
Researcher 7 11%
Student > Bachelor 7 11%
Student > Master 6 10%
Student > Doctoral Student 4 6%
Other 13 21%
Unknown 13 21%
Readers by discipline Count As %
Psychology 31 49%
Medicine and Dentistry 6 10%
Agricultural and Biological Sciences 3 5%
Neuroscience 2 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 4 6%
Unknown 16 25%