Advocating a Componential Appraisal Model to Guide Emotion Recognition

Marcello Mortillaro, Ben Meuleman and Klaus R. Scherer
Additional contact information
Marcello Mortillaro: University of Geneva, Switzerland
Ben Meuleman: Swiss Center for Affective Sciences - University of Geneva, Switzerland
Klaus R. Scherer: Swiss Center for Affective Sciences–University of Geneva, Switzerland

International Journal of Synthetic Emotions (IJSE), 2012, vol. 3, issue 1, 18-32

Abstract: Most models of automatic emotion recognition use a discrete perspective and a black-box approach, i.e., they output an emotion label chosen from a limited pool of candidate terms, on the basis of purely statistical methods. Although these models are successful in emotion classification, a number of practical and theoretical drawbacks limit the range of possible applications. In this paper, the authors suggest the adoption of an appraisal perspective in modeling emotion recognition. The authors propose to use appraisals as an intermediate layer between expressive features (input) and emotion labeling (output). The model would then be made of two parts: first, expressive features would be used to estimate appraisals; second, resulting appraisals would be used to predict an emotion label. While the second part of the model has already been the object of several studies, the first is unexplored. The authors argue that this model should be built on the basis of both theoretical predictions and empirical results about the link between specific appraisals and expressive features. For this purpose, the authors suggest to use the component process model of emotion, which includes detailed predictions of efferent effects of appraisals on facial expression, voice, and body movements.

Date: 2012
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... .4018/jse.2012010102 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jse000:v:3:y:2012:i:1:p:18-32

Access Statistics for this article

International Journal of Synthetic Emotions (IJSE) is currently edited by João M. F. Rodrigues

More articles in International Journal of Synthetic Emotions (IJSE) from IGI Global
Bibliographic data for series maintained by Journal Editor ().