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Journal of Nonverbal Behavior

, Volume 15, Issue 2, pp 125–135 | Cite as

Invited article: Face, voice, and body in detecting deceit

  • Paul Ekman
  • Maureen O'Sullivan
  • Wallace V. Friesen
  • Klaus R. Scherer
Article

Abstract

Studies based on mean accuracy of a group of subjects suggest that most observers do no better than chance in detecting the lies of others. We argue that a case-by-case methodology, like that used in polygraphy studies may be more useful. Three behavioral measures (two kinds of smiles and pitch) were used to make predictions about the lying or truthfulness of each of 31 subjects. A case-by-case analysis of the hits and misses achieved in this way yielded an over-all accuracy of 86%. The effect on lie detection accuracy of individual differences in the use and control of different behavioral channels is discussed.

Keywords

Individual Difference Social Psychology Behavioral Measure Detection Accuracy Polygraphy Study 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Human Sciences Press, Inc. 1991

Authors and Affiliations

  • Paul Ekman
    • 1
  • Maureen O'Sullivan
  • Wallace V. Friesen
  • Klaus R. Scherer
  1. 1.Human Interaction LaboratoryUniversity of CaliforniaSan Francisco

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