Evaluating a Computational Model of Emotion

Abstract

Spurred by a range of potential applications, there has been a growing body of research in computational models of human emotion. To advance the development of these models, it is critical that we evaluate them against the phenomena they purport to model. In this paper, we present one method to evaluate an emotion model that compares the behavior of the model against human behavior using a standard clinical instrument for assessing human emotion and coping. We use this method to evaluate the EMA model of emotion. The evaluation highlights strengths of the approach and identifies where the model needs further development.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2006
Accession Number
ADA459183

Entities

People

  • Jonathan Gratch
  • Stacy C. Marsella

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Artificial Intelligence
  • Causal Reasoning
  • Cognition
  • Cognitive Science
  • Cognitive Systems Engineering
  • Contrast
  • Human Behavior
  • Human Emotions
  • Human-Computer Interaction
  • Language
  • Mental Processes
  • Personality
  • Reasoning
  • Simulations
  • Standards
  • Thinking

Fields of Study

  • Computer science

Readers

  • Computational Fluid Dynamics (CFD)
  • Psychological Intervention/Treatment for Stress, Anxiety, PTSD, and Related Emotional and Cognitive Health Symptoms.
  • Systems Analysis and Design