Recognizing emotions through facial expressions: a largescale experimental study

Dores, AR, Barbosa, F, Queirós, C, Carvalho, IP and Griffiths, MD ORCID: https://orcid.org/0000-0001-8880-6524, 2020. Recognizing emotions through facial expressions: a largescale experimental study. International Journal of Environmental Research and Public Health, 17 (20): 7420. ISSN 1661-7827

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Abstract

Experimental research examining emotional processes is typically based on the observation of images with affective content, including facial expressions. Future studies will benefit from databases with emotion-inducing stimuli in which characteristics of the stimuli potentially influencing results can be controlled. This study presents Portuguese normative data for the identification of seven facial expressions of emotions (plus a neutral face), on the Radboud Faces Database (RaFD). The effect of participants' gender and models' sex on emotion recognition was also examined. Participants (N = 1249) were exposed to 312 pictures of white adults displaying emotional and neutral faces with a frontal gaze. Recognition agreement between the displayed and participants' chosen expressions ranged from 69% (for anger) to 97% (for happiness). Recognition levels were significantly higher among women than among men only for anger and contempt. The emotion recognition was higher either in female models or in male models depending on the emotion. Overall, the results show high recognition levels of the facial expressions presented, indicating that the RaFD provides adequate stimuli for studies examining the recognition of facial expressions of emotion among college students. Participants' gender had a limited influence on emotion recognition, but the sex of the model requires additional consideration.

Item Type:	Journal article
Publication Title:	International Journal of Environmental Research and Public Health
Creators:	Dores, A.R., Barbosa, F., Queirós, C., Carvalho, I.P. and Griffiths, M.D.
Publisher:	MDPI
Date:	2 October 2020
Volume:	17
Number:	20
ISSN:	1661-7827
Identifiers:	Number Type 10.3390/ijerph17207420 DOI 1376644 Other
Rights:	© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Divisions:	Schools > School of Social Sciences
Record created by:	Jill Tomkinson
Date Added:	14 Oct 2020 11:09
Last Modified:	31 May 2021 15:15
URI:	https://irep.ntu.ac.uk/id/eprint/41298

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