KDEF-PT: valence, emotional intensity, familiarity and attractiveness ratings of angry, neutral, and happy faces

Detalhes bibliográficos
Autor(a) principal: Garrido, M. V.
Data de Publicação: 2017
Outros Autores: Prada, M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/14786
Resumo: 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/).
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spelling KDEF-PT: valence, emotional intensity, familiarity and attractiveness ratings of angry, neutral, and happy facesThe 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/).Frontiers Media S.A.2017-12-19T12:13:03Z2017-01-01T00:00:00Z20172019-04-03T12:08:06Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/14786eng1664-107810.3389/fpsyg.2017.02181Garrido, M. V.Prada, M.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-09T17:35:15Zoai:repositorio.iscte-iul.pt:10071/14786Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:15:56.959726Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv KDEF-PT: valence, emotional intensity, familiarity and attractiveness ratings of angry, neutral, and happy faces
title KDEF-PT: valence, emotional intensity, familiarity and attractiveness ratings of angry, neutral, and happy faces
spellingShingle KDEF-PT: valence, emotional intensity, familiarity and attractiveness ratings of angry, neutral, and happy faces
Garrido, M. V.
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
author Garrido, M. V.
author_facet Garrido, M. V.
Prada, M.
author_role author
author2 Prada, M.
author2_role author
dc.contributor.author.fl_str_mv Garrido, M. V.
Prada, M.
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/).
publishDate 2017
dc.date.none.fl_str_mv 2017-12-19T12:13:03Z
2017-01-01T00:00:00Z
2017
2019-04-03T12:08:06Z
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url http://hdl.handle.net/10071/14786
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dc.relation.none.fl_str_mv 1664-1078
10.3389/fpsyg.2017.02181
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dc.publisher.none.fl_str_mv Frontiers Media S.A.
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