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Infant Smiling Dynamics and Perceived Positive Emotion.

Daniel S Messinger1, Tricia D Cassel, Susan I Acosta

  • 1Department of Psychology, University of Miami, P.O. Box 249229, Coral Gables, FL 33124-0751, USA.

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Automated and manual facial analysis accurately measures infant smiles, predicting perceived positive emotions. This research enhances understanding of early emotional expression dynamics.

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Area of Science:

  • Developmental Psychology
  • Nonverbal Communication
  • Affective Science

Background:

  • Understanding early positive emotional expression is crucial for developmental research.
  • Automated facial action measurements offer objective data but may lack nuanced detail.
  • Anatomically based manual coding provides fine-grained analysis of facial movements.

Purpose of the Study:

  • To integrate automated and manual facial measurements for a comprehensive analysis of infant smiling.
  • To describe the temporal dynamics of infant smiles.
  • To predict perceived positive emotional intensity from facial action measurements.

Main Methods:

  • Employed automated software for facial action measurement.
  • Supplemented automated data with anatomically based manual coding.
  • Conducted three rating studies using naive and experienced observers to evaluate perceived emotion.

Main Results:

  • Degree of smile strength correlated with eye constriction (Duchenne marker) and mouth opening during infant smiles.
  • Automated measurements of smile strength and mouth opening predicted observer ratings of positive emotion.
  • A combined measure of smile strength and mouth opening predicted emotion ratings in still images.

Conclusions:

  • Convergent automated and manual facial measurements effectively describe the dynamics of infant emotional expression.
  • These measurement techniques can predict perceived emotional intensity.
  • The findings highlight the utility of detailed facial action analysis in affective science research.