KDEF-PT: Valence, Emotional Intensity, Familiarity and Attractiveness Ratings of Angry, Neutral, and Happy Faces

The Karolinska Directed Emotional Faces (KDEF) is one of the most widely used human facial expressions database. Almost a decade after the original validation study (Goeleven et al., 2008), we present subjective rating norms for a sub-set of 210 pictures which depict 70 models (half female) each dis...

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Main Authors: Margarida V. Garrido, Marília Prada
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-12-01
Series:Frontiers in Psychology
Subjects:
Online Access:http://journal.frontiersin.org/article/10.3389/fpsyg.2017.02181/full
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spelling doaj-4185df0be8014fbea86191785317026b2020-11-24T23:50:24ZengFrontiers Media S.A.Frontiers in Psychology1664-10782017-12-01810.3389/fpsyg.2017.02181296091KDEF-PT: Valence, Emotional Intensity, Familiarity and Attractiveness Ratings of Angry, Neutral, and Happy FacesMargarida V. GarridoMarília PradaThe Karolinska Directed Emotional Faces (KDEF) is one of the most widely used human facial expressions database. Almost a decade after the original validation study (Goeleven et al., 2008), we present subjective rating norms for a sub-set of 210 pictures which depict 70 models (half female) each displaying an angry, happy and neutral facial expressions. Our main goals were to provide an additional and updated validation to this database, using a sample from a different nationality (N = 155 Portuguese students, M = 23.73 years old, SD = 7.24) and to extend the number of subjective dimensions used to evaluate each image. Specifically, participants reported emotional labeling (forced-choice task) and evaluated the emotional intensity and valence of the expression, as well as the attractiveness and familiarity of the model (7-points rating scales). Overall, results show that happy faces obtained the highest ratings across evaluative dimensions and emotion labeling accuracy. Female (vs. male) models were perceived as more attractive, familiar and positive. The sex of the model also moderated the accuracy of emotional labeling and ratings of different facial expressions. Each picture of the set was categorized as low, moderate, or high for each dimension. Normative data for each stimulus (hits proportion, means, standard deviations, and confidence intervals per evaluative dimension) is available as supplementary material (available at https://osf.io/fvc4m/).http://journal.frontiersin.org/article/10.3389/fpsyg.2017.02181/fullfacial expressionsnormative datasubjective ratingsemotion labelingsex differences
collection DOAJ
language English
format Article
sources DOAJ
author Margarida V. Garrido
Marília Prada
spellingShingle Margarida V. Garrido
Marília Prada
KDEF-PT: Valence, Emotional Intensity, Familiarity and Attractiveness Ratings of Angry, Neutral, and Happy Faces
Frontiers in Psychology
facial expressions
normative data
subjective ratings
emotion labeling
sex differences
author_facet Margarida V. Garrido
Marília Prada
author_sort Margarida V. Garrido
title KDEF-PT: Valence, Emotional Intensity, Familiarity and Attractiveness Ratings of Angry, Neutral, and Happy Faces
title_short KDEF-PT: Valence, Emotional Intensity, Familiarity and Attractiveness Ratings of Angry, Neutral, and Happy Faces
title_full KDEF-PT: Valence, Emotional Intensity, Familiarity and Attractiveness Ratings of Angry, Neutral, and Happy Faces
title_fullStr KDEF-PT: Valence, Emotional Intensity, Familiarity and Attractiveness Ratings of Angry, Neutral, and Happy Faces
title_full_unstemmed KDEF-PT: Valence, Emotional Intensity, Familiarity and Attractiveness Ratings of Angry, Neutral, and Happy Faces
title_sort kdef-pt: valence, emotional intensity, familiarity and attractiveness ratings of angry, neutral, and happy faces
publisher Frontiers Media S.A.
series Frontiers in Psychology
issn 1664-1078
publishDate 2017-12-01
description The Karolinska Directed Emotional Faces (KDEF) is one of the most widely used human facial expressions database. Almost a decade after the original validation study (Goeleven et al., 2008), we present subjective rating norms for a sub-set of 210 pictures which depict 70 models (half female) each displaying an angry, happy and neutral facial expressions. Our main goals were to provide an additional and updated validation to this database, using a sample from a different nationality (N = 155 Portuguese students, M = 23.73 years old, SD = 7.24) and to extend the number of subjective dimensions used to evaluate each image. Specifically, participants reported emotional labeling (forced-choice task) and evaluated the emotional intensity and valence of the expression, as well as the attractiveness and familiarity of the model (7-points rating scales). Overall, results show that happy faces obtained the highest ratings across evaluative dimensions and emotion labeling accuracy. Female (vs. male) models were perceived as more attractive, familiar and positive. The sex of the model also moderated the accuracy of emotional labeling and ratings of different facial expressions. Each picture of the set was categorized as low, moderate, or high for each dimension. Normative data for each stimulus (hits proportion, means, standard deviations, and confidence intervals per evaluative dimension) is available as supplementary material (available at https://osf.io/fvc4m/).
topic facial expressions
normative data
subjective ratings
emotion labeling
sex differences
url http://journal.frontiersin.org/article/10.3389/fpsyg.2017.02181/full
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