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Recognising and reacting to angry and happy facial expressions: a diffusion model analysis

Researchers have reported two biases in how people recognise and respond to angry and happy facial expressions: (1) a gender-expression bias (Becker et al. in J Pers Soc Psychol, 92(2):179–190, 10.1037/0022-3514.92.2.179, 2007)—faster identification of male faces as angry and female faces as happy a...

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Autor principal: Tipples, Jason
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6373536/
https://www.ncbi.nlm.nih.gov/pubmed/30194486
http://dx.doi.org/10.1007/s00426-018-1092-6
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author Tipples, Jason
author_facet Tipples, Jason
author_sort Tipples, Jason
collection PubMed
description Researchers have reported two biases in how people recognise and respond to angry and happy facial expressions: (1) a gender-expression bias (Becker et al. in J Pers Soc Psychol, 92(2):179–190, 10.1037/0022-3514.92.2.179, 2007)—faster identification of male faces as angry and female faces as happy and (2) an approach–avoidance bias—faster avoidance of people who appear angry and faster approach responses people who appear happy (Heuer et al. in Behav Res The, 45(12):2990–3001, 10.1016/j.brat.2007.08.010 2007; Marsh et al. in Emotion, 5(1), 119–124, 10.1037/1528-3542.5.1.119, 2005; Rotteveel and Phaf in Emotion 4(2):156–172, 10.1037/1528-3542.4.2.156, 2004). The aim of the current research is to gain insight into the nature of such biases by applying the drift diffusion model to the results of an approach–avoidance task. Sixty-five participants (33 female) identified faces as either happy or angry by pushing and pulling a joystick. In agreement with the original study of this effect (Solarz 1960) there were clear participant gender differences—both the approach avoidance and gender-expression biases were larger in magnitude for female compared to male participants. The diffusion model results extend recent research (Krypotos et al. in Cogn Emot 29(8):1424–1444, 10.1080/02699931.2014.985635, 2015) by indicating that the gender-expression and approach–avoidance biases are mediated by separate cognitive processes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00426-018-1092-6) contains supplementary material, which is available to authorized users.
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spelling pubmed-63735362019-03-04 Recognising and reacting to angry and happy facial expressions: a diffusion model analysis Tipples, Jason Psychol Res Original Article Researchers have reported two biases in how people recognise and respond to angry and happy facial expressions: (1) a gender-expression bias (Becker et al. in J Pers Soc Psychol, 92(2):179–190, 10.1037/0022-3514.92.2.179, 2007)—faster identification of male faces as angry and female faces as happy and (2) an approach–avoidance bias—faster avoidance of people who appear angry and faster approach responses people who appear happy (Heuer et al. in Behav Res The, 45(12):2990–3001, 10.1016/j.brat.2007.08.010 2007; Marsh et al. in Emotion, 5(1), 119–124, 10.1037/1528-3542.5.1.119, 2005; Rotteveel and Phaf in Emotion 4(2):156–172, 10.1037/1528-3542.4.2.156, 2004). The aim of the current research is to gain insight into the nature of such biases by applying the drift diffusion model to the results of an approach–avoidance task. Sixty-five participants (33 female) identified faces as either happy or angry by pushing and pulling a joystick. In agreement with the original study of this effect (Solarz 1960) there were clear participant gender differences—both the approach avoidance and gender-expression biases were larger in magnitude for female compared to male participants. The diffusion model results extend recent research (Krypotos et al. in Cogn Emot 29(8):1424–1444, 10.1080/02699931.2014.985635, 2015) by indicating that the gender-expression and approach–avoidance biases are mediated by separate cognitive processes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00426-018-1092-6) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2018-09-07 2019 /pmc/articles/PMC6373536/ /pubmed/30194486 http://dx.doi.org/10.1007/s00426-018-1092-6 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Article
Tipples, Jason
Recognising and reacting to angry and happy facial expressions: a diffusion model analysis
title Recognising and reacting to angry and happy facial expressions: a diffusion model analysis
title_full Recognising and reacting to angry and happy facial expressions: a diffusion model analysis
title_fullStr Recognising and reacting to angry and happy facial expressions: a diffusion model analysis
title_full_unstemmed Recognising and reacting to angry and happy facial expressions: a diffusion model analysis
title_short Recognising and reacting to angry and happy facial expressions: a diffusion model analysis
title_sort recognising and reacting to angry and happy facial expressions: a diffusion model analysis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6373536/
https://www.ncbi.nlm.nih.gov/pubmed/30194486
http://dx.doi.org/10.1007/s00426-018-1092-6
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