TY - GEN
T1 - Constructivist Approaches for Computational Emotions
T2 - 1st International Symposium, ToM for Teams 2021
AU - Viola, Alexander
AU - Pavlovic, Vladimir
AU - Yoon, Sejong
N1 - Funding Information:
This work was supported in part by NSF Awards IIS 1955404 and 1955365.
Funding Information:
This work was supported in part by NSF Awards IIS 1955404
Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - Computational emotion, is naturally predicated on an operating theory of emotion. This paper seeks to explore the prevalence of three different approaches in the literature, namely basic emotion, dimensional emotion, and constructed emotion. Basic emotion maintains that there exists a discrete set of primitive emotions evolved as responses to certain stimuli; dimensional emotion sees different emotions as systematically related by two or more dimensions (typically valence and arousal); and constructed emotion describes emotional experience as a function of the brain’s general predictive faculties applied to learned social concepts of different emotions. In order to see how these approaches are represented in affective computing literature, we conduct a systematic survey spanning the IEEE, ACM, ScienceDirect, and Engineering Village databases. Out of 204 selected papers, 151 apply basic emotion theory, 48 apply dimensional emotion, and 5 apply constructed emotion. We find promising representation of the constructed emotion theory in the affective computing literature and conclude that it provides a theoretical basis worth pursuing for affective engagement human computer interaction (HCI) applications.
AB - Computational emotion, is naturally predicated on an operating theory of emotion. This paper seeks to explore the prevalence of three different approaches in the literature, namely basic emotion, dimensional emotion, and constructed emotion. Basic emotion maintains that there exists a discrete set of primitive emotions evolved as responses to certain stimuli; dimensional emotion sees different emotions as systematically related by two or more dimensions (typically valence and arousal); and constructed emotion describes emotional experience as a function of the brain’s general predictive faculties applied to learned social concepts of different emotions. In order to see how these approaches are represented in affective computing literature, we conduct a systematic survey spanning the IEEE, ACM, ScienceDirect, and Engineering Village databases. Out of 204 selected papers, 151 apply basic emotion theory, 48 apply dimensional emotion, and 5 apply constructed emotion. We find promising representation of the constructed emotion theory in the affective computing literature and conclude that it provides a theoretical basis worth pursuing for affective engagement human computer interaction (HCI) applications.
KW - Affective computing
KW - Constructed emotion
KW - Systematic survey
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U2 - 10.1007/978-3-031-21671-8_3
DO - 10.1007/978-3-031-21671-8_3
M3 - Conference contribution
AN - SCOPUS:85148015978
SN - 9783031216701
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 30
EP - 50
BT - Computational Theory of Mind for Human-Machine Teams - 1st International Symposium, ToM for Teams 2021, Revised Selected Papers
A2 - Gurney, Nikolos
A2 - Sukthankar, Gita
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 4 November 2021 through 6 November 2021
ER -