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An event-related potential comparison of facial expression processing between cartoon and real faces

Faces play important roles in the social lives of humans. Besides real faces, people also encounter numerous cartoon faces in daily life which convey basic emotional states through facial expressions. Using event-related potentials (ERPs), we conducted a facial expression recognition experiment with...

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Autores principales: Zhao, Jiayin, Meng, Qi, An, Licong, Wang, Yifang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6328201/
https://www.ncbi.nlm.nih.gov/pubmed/30629582
http://dx.doi.org/10.1371/journal.pone.0198868
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author Zhao, Jiayin
Meng, Qi
An, Licong
Wang, Yifang
author_facet Zhao, Jiayin
Meng, Qi
An, Licong
Wang, Yifang
author_sort Zhao, Jiayin
collection PubMed
description Faces play important roles in the social lives of humans. Besides real faces, people also encounter numerous cartoon faces in daily life which convey basic emotional states through facial expressions. Using event-related potentials (ERPs), we conducted a facial expression recognition experiment with 17 university students to compare the processing of cartoon faces with that of real faces. This study used face type (real vs. cartoon), emotion valence (happy vs. angry) and participant gender (male vs. female) as independent variables. Reaction time, recognition accuracy, and the amplitudes and latencies of emotion processing-related ERP components such as N170, VPP (vertex positive potential), and LPP (late positive potential) were used as dependent variables. The ERP results revealed that cartoon faces caused larger N170 and VPP amplitudes as well as a briefer N170 latency than did real faces; that real faces induced larger LPP amplitudes than did cartoon faces. In addition, the results showed a significant difference in the brain regions as reflected in a right hemispheric advantage. The behavioral results showed that the reaction times for happy faces were shorter than those for angry faces; that females showed a higher accuracy than did males; and that males showed a higher recognition accuracy for angry faces than happy faces. Due to the sample size, these results may suggestively but not rigorously demonstrate differences in facial expression recognition and neurological processing between cartoon faces and real faces. Cartoon faces showed a higher processing intensity and speed than real faces during the early processing stage. However, more attentional resources were allocated for real faces during the late processing stage.
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spelling pubmed-63282012019-02-01 An event-related potential comparison of facial expression processing between cartoon and real faces Zhao, Jiayin Meng, Qi An, Licong Wang, Yifang PLoS One Research Article Faces play important roles in the social lives of humans. Besides real faces, people also encounter numerous cartoon faces in daily life which convey basic emotional states through facial expressions. Using event-related potentials (ERPs), we conducted a facial expression recognition experiment with 17 university students to compare the processing of cartoon faces with that of real faces. This study used face type (real vs. cartoon), emotion valence (happy vs. angry) and participant gender (male vs. female) as independent variables. Reaction time, recognition accuracy, and the amplitudes and latencies of emotion processing-related ERP components such as N170, VPP (vertex positive potential), and LPP (late positive potential) were used as dependent variables. The ERP results revealed that cartoon faces caused larger N170 and VPP amplitudes as well as a briefer N170 latency than did real faces; that real faces induced larger LPP amplitudes than did cartoon faces. In addition, the results showed a significant difference in the brain regions as reflected in a right hemispheric advantage. The behavioral results showed that the reaction times for happy faces were shorter than those for angry faces; that females showed a higher accuracy than did males; and that males showed a higher recognition accuracy for angry faces than happy faces. Due to the sample size, these results may suggestively but not rigorously demonstrate differences in facial expression recognition and neurological processing between cartoon faces and real faces. Cartoon faces showed a higher processing intensity and speed than real faces during the early processing stage. However, more attentional resources were allocated for real faces during the late processing stage. Public Library of Science 2019-01-10 /pmc/articles/PMC6328201/ /pubmed/30629582 http://dx.doi.org/10.1371/journal.pone.0198868 Text en © 2019 Zhao et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Zhao, Jiayin
Meng, Qi
An, Licong
Wang, Yifang
An event-related potential comparison of facial expression processing between cartoon and real faces
title An event-related potential comparison of facial expression processing between cartoon and real faces
title_full An event-related potential comparison of facial expression processing between cartoon and real faces
title_fullStr An event-related potential comparison of facial expression processing between cartoon and real faces
title_full_unstemmed An event-related potential comparison of facial expression processing between cartoon and real faces
title_short An event-related potential comparison of facial expression processing between cartoon and real faces
title_sort event-related potential comparison of facial expression processing between cartoon and real faces
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6328201/
https://www.ncbi.nlm.nih.gov/pubmed/30629582
http://dx.doi.org/10.1371/journal.pone.0198868
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