Angry faces are special too: evidence from the visual scanpath.

Neuropsychology

School of Psychology, University of Exeter, Exeter, United Kingdom.

Published: September 2009

AI Article Synopsis

  • Traditional models of face processing suggest that facial identity and expression are processed independently, but recent studies indicate that emotions might influence recognition.
  • The current study explored how different emotional expressions (angry, happy, neutral) impact the recognition of both famous and unfamiliar faces using eye movement analysis.
  • Findings revealed that happy expressions aid in recognizing famous faces, while angry expressions enhance the recognition of novel faces, suggesting that negative emotions play a significant role and that the effect of expression depends on whether the face is familiar or not.

Article Abstract

Traditional models of face processing posit independent pathways for the processing of facial identity and facial expression (e.g., Bruce & Young, 1986). However, such models have been questioned by recent reports that suggest positive expressions may facilitate recognition (e.g., Baudouin et al., 2000), although little attention has been paid to the role of negative expressions. The current study used eye movement indicators to examine the influence of emotional expression (angry, happy, neutral) on the recognition of famous and novel faces. In line with previous research, the authors found some evidence that only happy expressions facilitate the processing of famous faces. However, the processing of novel faces was enhanced by the presence of an angry expression. Contrary to previous findings, this paper suggests that angry expressions also have an important role in the recognition process, and that the influence of emotional expression is modulated by face familiarity. The implications of this finding are discussed in relation to (1) current models of face processing, and (2) theories of oculomotor control in the viewing of facial stimuli.

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Source
http://dx.doi.org/10.1037/a0014518DOI Listing

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