Welcome to the InfoSci Platform
Reference Hub1
Modeling the Experience of Emotion

Modeling the Experience of Emotion

Joost Broekens
Copyright: © 2012 |Pages: 18
ISBN13: 9781466615953|ISBN10: 1466615958|EISBN13: 9781466615960
DOI: 10.4018/978-1-4666-1595-3.ch001
Cite Chapter Cite Chapter

MLA

Broekens, Joost. "Modeling the Experience of Emotion." Creating Synthetic Emotions through Technological and Robotic Advancements, edited by Jordi Vallverdú, IGI Global, 2012, pp. 1-18. https://doi.org/10.4018/978-1-4666-1595-3.ch001

APA

Broekens, J. (2012). Modeling the Experience of Emotion. In J. Vallverdú (Ed.), Creating Synthetic Emotions through Technological and Robotic Advancements (pp. 1-18). IGI Global. https://doi.org/10.4018/978-1-4666-1595-3.ch001

Chicago

Broekens, Joost. "Modeling the Experience of Emotion." In Creating Synthetic Emotions through Technological and Robotic Advancements, edited by Jordi Vallverdú, 1-18. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-4666-1595-3.ch001

Export Reference

Mendeley
Favorite

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 emotion recognition technology, computational modeling of causal factors of emotion and emotion expression in virtual characters and robots. A smaller part is concerned with modeling the effects of emotion on cognition and behavior, 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 emotion through computational modeling. In psychology, a critical and neglected aspect of having emotions is the experience of emotion: what does the content of an emotional episode look like, how does this content change over time and when do we call the episode emotional. Few modeling efforts in affective computing have these topics as a primary focus. The launch of a journal on synthetic emotions should motivate research initiatives in this direction, and this research should have a measurable impact on emotion research in psychology. In this paper, I show that a good way to do so is to investigate the psychological core of what an emotion is: an experience. I present ideas on how computational modeling of emotion can help to better understand the experience of emotion, and provide evidence that several computational models of emotion already address the issue.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.