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Foundations of Human Computing: Facial Expression and Emotion

  • Jeffrey F. Cohn
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4451)

Abstract

Many people believe that emotions and subjective feelings are one and the same and that a goal of human-centered computing is emotion recognition. The first belief is outdated; the second mistaken. For human-centered computing to succeed, a different way of thinking is needed. Emotions are species-typical patterns that evolved because of their value in addressing fundamental life tasks. Emotions consist of multiple components, of which subjective feelings may be one. They are not directly observable, but inferred from expressive behavior, self-report, physiological indicators, and context. I focus on expressive facial behavior because of its coherence with other indicators and research. Among the topics included are measurement, timing, individual differences, dyadic interaction, and inference. I propose that design and implementation of perceptual user interfaces may be better informed by considering the complexity of emotion, its various indicators, measurement, individual differences, dyadic interaction, and problems of inference.

Keywords

Emotion measurement facial expression automatic facial image analysis human-computer interaction temporal dynamics 

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Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • Jeffrey F. Cohn
    • 1
  1. 1.Department of Psychology, University of Pittsburgh, 3137 SQ, 210 S. Bouquet Street, Pittsburgh, PA 15260USA

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