Modeling and Evaluating Emotions Impact on Cognition

Abstract

The objective of this project was to make advances in modeling the relationship between emotion and cognition. The researchers proposed to use computational models to concretize psychological theories concerning the relationship between emotion, cognition and behavior, and to collect a body of human performance data with which to validate and inform this process. Major accomplishments included the creation of an experimental testbed to study emotion influenced decision making, and a series of experimental studies using this testbed to test specific hypotheses produces by a computational model of emotion-influenced decision-making. Results of these studies lend support to the validity of this computational model. A series of studies investigate the accuracy of competing computational models of emotion in predicting the intensity of human emotional responses in naturalistic emotion-eliciting situations. The results find clear differences in models' ability to forecast human emotional responses, and provide guidance on how to develop more accurate models of human emotion. A series of studies also investigated how people's beliefs, desires and intentions change in response to positively and negatively valenced emotional situations. We examined three key kinds of coping.

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Document Details

Document Type
Technical Report
Publication Date
Aug 11, 2000
Accession Number
ADA507182

Entities

People

  • Jonathan Gratch
  • Stacy C. Marsella

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Air Force
  • Artificial Intelligence
  • Cognition
  • Cognitive Science
  • Department Of Defense
  • Engineering
  • Human Behavior
  • Human Emotions
  • Human-Computer Interaction
  • Hypotheses
  • Intensity
  • Psychological Phenomena And Processes
  • Psychological Theory
  • Psychology
  • Test Beds
  • Universities
  • Virtual Reality

Fields of Study

  • Psychology

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.