Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications

by Rafael A. Calvo and Sidney D'Mello

This survey describes recent progress in the field of Affective Computing (AC), with a focus on affect detection. Although many AC researchers have traditionally attempted to remain agnostic to the different emotion theories proposed by psychologists, the affective technologies being developed are rife with theoretical assumptions that impact their effectiveness. Hence, an informed and integrated examination of emotion theories from multiple areas will need to become part of computing practice if truly effective real-world systems are to be achieved. READ FULL ARTICLE (login required) »