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Simulationist models of face-based emotion recognition.

Alvin I Goldman1, Chandra Sekhar Sripada

  • 1Center for Cognitive Science, Rutgers University, P.O. Box 1179, Piscataway, NJ 08855-1179, USA. goldman@philosophy.rutgers.edu

Cognition
|December 25, 2004
PubMed
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This study explores emotion mindreading, finding that deficits in recognizing and producing fear, disgust, and anger are linked. The simulation approach best explains these paired deficits in emotion recognition and expression.

Area of Science:

  • Cognitive Neuroscience
  • Psychology
  • Artificial Intelligence

Background:

  • Studies show paired deficits in recognizing and producing facial emotions like fear, disgust, and anger.
  • Existing theories, simulation and theorizing approaches, are evaluated against this evidence.

Purpose of the Study:

  • To identify a mindreading process explaining paired deficits in emotion recognition and production.
  • To explore computational models for simulation-based emotion detection.

Main Methods:

  • Comparative analysis of simulation and theorizing approaches.
  • Exploration of four computational models: generate-and-test, reverse simulation, reverse simulation with "as if" loop, and unmediated resonance.

Main Results:

Related Experiment Videos

  • The simulation approach provides the most compatible explanation for the observed paired deficits.
  • Four distinct computational models for simulation-style emotion detection were investigated.

Conclusions:

  • The simulation approach is favored for explaining emotion mindreading deficits.
  • Further computational modeling is needed to refine understanding of simulation-based emotion detection mechanisms.