DocumentCode
3703301
Title
The appraisal equivalence hypothesis: Verifying the domain-independence of a computational model of emotion dynamics
Author
Jonathan Gratch;Lin Cheng;Stacy Marsella
Author_Institution
University of Southern California, Institute for Creative Technologies, Playa Vista, CA
fYear
2015
Firstpage
105
Lastpage
111
Abstract
Appraisal theory is the most influential theory within affective computing, and serves as the basis for several computational models of emotion. The theory makes strong claims of domain-independence: seemingly different situations, both within and across domains are claimed to produce the identical emotional responses if and only if they are appraised the same way. This article tests this claim, and the predictions of a computational model that embodies it, in two very different interactive games. The results extend prior empirical evidence for appraisal theory to situations where emotions unfold and change over time.
Keywords
"Appraisal","Games","Computational modeling","Predictive models","Context","Trajectory","Affective computing"
Publisher
ieee
Conference_Titel
Affective Computing and Intelligent Interaction (ACII), 2015 International Conference on
Electronic_ISBN
2156-8111
Type
conf
DOI
10.1109/ACII.2015.7344558
Filename
7344558
Link To Document