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Published December 2014 | public
Journal Article

Effects of face feature and contour crowding in facial expression adaptation

Abstract

Prolonged exposure to a visual stimulus, such as a happy face, biases the perception of subsequently presented neutral face toward sad perception, the known face adaptation. Face adaptation is affected by visibility or awareness of the adapting face. However, whether it is affected by discriminability of the adapting face is largely unknown. In the current study, we used crowding to manipulate discriminability of the adapting face and test its effect on face adaptation. Instead of presenting flanking faces near the target face, we shortened the distance between facial features (internal feature crowding), and reduced the size of face contour (external contour crowding), to introduce crowding. We are interested in whether internal feature crowding or external contour crowding is more effective in inducing crowding effect in our first experiment. We found that combining internal feature and external contour crowding, but not either of them alone, induced significant crowding effect. In Experiment 2, we went on further to investigate its effect on adaptation. We found that both internal feature crowding and external contour crowding reduced its facial expression aftereffect (FEA) significantly. However, we did not find a significant correlation between discriminability of the adapting face and its FEA. Interestingly, we found a significant correlation between discriminabilities of the adapting and test faces. Experiment 3 found that the reduced adaptation aftereffect in combined crowding by the external face contour and the internal facial features cannot be decomposed into the effects from the face contour and facial features linearly. It thus suggested a nonlinear integration between facial features and face contour in face adaptation.

Additional Information

© 2014 Elsevier Ltd. Received 1 February 2014; Received in revised form 8 October 2014; Available online 25 October 2014. This work is supported by the Singapore MOE AcRF Tier 1, NTU HSS RCC45, NTU SUG, and CoHASS Incentive Scheme (HX). We thank April Ching for help with data collection and Drs. Olwen Bedford and Anthony Hayes for their helpful comments on the manuscript.

Additional details

Created:
August 22, 2023
Modified:
October 20, 2023