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We present an overview of facial expressions and emotions and measurement methodologies used in prior studies. Computer models that classify emotions and predict behaviors based on facial expressions can be an effective alternative to human coders. Most predictions can occur based on a small sample of behavior. Empirical studies using the proposed methodology are introduced to demonstrate the use of automated facial expression analysis as a new methodological tool for the investigation of facial expressions.
Sun Joo Ahn, Stanford University
Jeremy Bailenson, Stanford University
Jesse Fox, Stanford University
Maria Jabon, Stanford University