Refactoring facial expressions: an automatic analysis of natural occurring facial expressions in iterative social dilemma

Stratou, Giota, Van Der Schalk, Jacob ORCID: https://orcid.org/0000-0001-7968-4721, Hoegen, Rens and Gratch, Jonathan 2018. Refactoring facial expressions: an automatic analysis of natural occurring facial expressions in iterative social dilemma. Presented at: 2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII), San Antonio, Texas, 23-26 October 2017. Seventh International Conference on Affective Computing and Intelligent Interaction (ACII). 2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII). IEEE Xplore, pp. 427-433. 10.1109/ACII.2017.8273635

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Abstract

Many automatic facial expression recognizers now output individual facial action units (AUs), but several lines of evidence suggest that it is the combination of AUs that is psychologically meaningful: e.g., (a) constraints arising from facial morphology, (b) prior published evidence, (c) claims arising from basic emotion theory. We performed factor analysis on a large data set and recovered factors that have been discussed in the literature as psychologically meaningful. Further we show that some of these factors have external validity in that they predict participant behaviors in an iterated prisoner’s dilemma task and in fact with more precision than the individual AUs. These results both reinforce the validity of automatic recognition (as these factors would be expected from accurate AU detection) and suggest the benefits of using such factors for understanding these facial expressions as social signals.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Published Online
Status:	Published
Schools:	Psychology
Subjects:	B Philosophy. Psychology. Religion > BF Psychology
Publisher:	IEEE Xplore
ISBN:	978-1-5386-0564-6
ISSN:	2156-8111
Date of First Compliant Deposit:	7 September 2017
Date of Acceptance:	14 July 2017
Last Modified:	22 Oct 2022 13:42
URI:	https://orca.cardiff.ac.uk/id/eprint/104417

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