Modeling and Evaluating Emotions Impact on Cognition
Abstract
The objective of this proposal was to promote the use of computational models as a tool for enhancing understanding of human social dynamics, specifically the relationship between emotion, cognition and behavior, and on computationally modeling the consequences of emotion for decision-making in social contexts. Accomplishments can be grouped into three interrelated efforts. First, the project extended and validated computational models of intra-personal processes: specifically, research examined how an individual s emotions are impacted by structure of tasks and how task events unfold over time. Second, research enhanced fundamental understanding of inter-personal emotional processes: specifically, how emotional signals (e.g., facial expressions) generated by one individual might impact the beliefs, feelings, and decisions of another. This work introduced reverse appraisal theory as a mechanism to explain such social effects. Finally, the research produced insights into relationship between situational appraisals and expressed emotion: specifically, studies examined if there was a stable relationship between what participants actually showed on their faces and manipulations of aspects of tasks that impact participant s appraisals. This project led to one PhD dissertation.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 01, 2013
- Accession Number
- ADA587536
Entities
People
- Jonathan Gratch
- Peter Carnevale
- Stacy C. Marsella
Organizations
- University of Southern California