
TL;DR
This paper emphasizes the importance of modeling the subjective experience of emotion within affective computing, proposing ideas and evidence that current models partially address this core aspect.
Contribution
It highlights the neglected area of emotional experience in computational models and suggests directions for future research to better understand emotional episodes.
Findings
Several existing models address aspects of emotional experience.
Modeling emotional content over time can improve understanding of emotional episodes.
Research on emotional experience can impact psychology and affective computing.
Abstract
Affective computing has proven to be a viable field of research comprised of a large number of multidisciplinary researchers resulting in work that is widely published. The majority of this work consists of computational models of emotion recognition, computational modeling of causal factors of emotion and emotion expression through rendered and robotic faces. A smaller part is concerned with modeling the effects of emotion, formal modeling of cognitive appraisal theory and models of emergent emotions. Part of the motivation for affective computing as a field is to better understand emotional processes through computational modeling. One of the four major topics in affective computing is computers that have emotions (the others are recognizing, expressing and understanding emotions). A critical and neglected aspect of having emotions is the experience of emotion (Barrett, Mesquita,…
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Taxonomy
TopicsMental Health Research Topics
