Jack, R. E., Garrod, O. G.B., and Schyns, P. G. (2014) Dynamic facial expressions of emotion transmit an evolving hierarchy of signals over time. Current Biology, 24 (2). pp. 187-192. ISSN 0960-9822 (doi:10.1016/j.cub.2013.11.064)
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Publisher's URL: http://dx.doi.org/10.1016/j.cub.2013.11.064
Designed by biological and social evolutionary pressures, facial expressions of emotion comprise specific facial movements to support a near-optimal system of signaling and decoding. Although highly dynamical, little is known about the form and function of facial expression temporal dynamics. Do facial expressions transmit diagnostic signals simultaneously to optimize categorization of the six classic emotions, or sequentially to support a more complex communication system of successive categorizations over time? Our data support the latter. Using a combination of perceptual expectation modeling, information theory, and Bayesian classifiers, we show that dynamic facial expressions of emotion transmit an evolving hierarchy of “biologically basic to socially specific” information over time. Early in the signaling dynamics, facial expressions systematically transmit few, biologically rooted face signals supporting the categorization of fewer elementary categories (e.g., approach/avoidance). Later transmissions comprise more complex signals that support categorization of a larger number of socially specific categories (i.e., the six classic emotions). Here, we show that dynamic facial expressions of emotion provide a sophisticated signaling system, questioning the widely accepted notion that emotion communication is comprised of six basic (i.e., psychologically irreducible) categories, and instead suggesting four.
|Glasgow Author(s) Enlighten ID:||Jack, Dr Rachael and Garrod, Mr Oliver and Schyns, Prof Philippe|
|Authors:||Jack, R. E., Garrod, O. G.B., and Schyns, P. G.|
|College/School:||College of Medical Veterinary and Life Sciences > Institute of Neuroscience and Psychology|
College of Medical Veterinary and Life Sciences > Institute of Neuroscience and Psychology > Cognitive Neuroimaging and Neuroengineering Technologies
College of Science and Engineering > School of Psychology
|Journal Name:||Current Biology|
|Published Online:||2 January 2014|
|Copyright Holders:||Copyright © 2014 Elsevier|
|First Published:||First published in Current Biology 24(2):187-192|
|Publisher Policy:||Reproduced in accordance with the copyright policy of the publisher|