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Investigating the Relationship between Facial Mimicry and Empathy

Facial expressions play a key role in interpersonal communication when it comes to negotiating our emotions and intentions, as well as interpreting those of others. Research has shown that we can connect to other people better when we exhibit signs of empathy and facial mimicry. However, the relatio...

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Autores principales: Kovalchuk, Yevgeniya, Budini, Elizabeta, Cook, Robert M., Walsh, Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9330546/
https://www.ncbi.nlm.nih.gov/pubmed/35892350
http://dx.doi.org/10.3390/bs12080250
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author Kovalchuk, Yevgeniya
Budini, Elizabeta
Cook, Robert M.
Walsh, Andrew
author_facet Kovalchuk, Yevgeniya
Budini, Elizabeta
Cook, Robert M.
Walsh, Andrew
author_sort Kovalchuk, Yevgeniya
collection PubMed
description Facial expressions play a key role in interpersonal communication when it comes to negotiating our emotions and intentions, as well as interpreting those of others. Research has shown that we can connect to other people better when we exhibit signs of empathy and facial mimicry. However, the relationship between empathy and facial mimicry is still debated. Among the factors contributing to the difference in results across existing studies is the use of different instruments for measuring both empathy and facial mimicry, as well as often ignoring the differences across various demographic groups. This study first looks at the differences in the empathetic abilities of people across different demographic groups based on gender, ethnicity and age. The empathetic ability is measured based on the Empathy Quotient, capturing a balanced representation of both emotional and cognitive empathy. Using statistical and machine learning methods, this study then investigates the correlation between the empathetic ability and facial mimicry of subjects in response to images portraying different emotions displayed on a computer screen. Unlike the existing studies measuring facial mimicry using electromyography, this study employs a technology detecting facial expressions based on video capture and deep learning. This choice was made in the context of increased online communication during and after the COVID-19 pandemic. The results of this study confirm the previously reported difference in the empathetic ability between females and males. However, no significant difference in empathetic ability was found across different age and ethnic groups. Furthermore, no strong correlation was found between empathy and facial reactions to faces portraying different emotions shown on a computer screen. Overall, the results of this study can be used to inform the design of online communication technologies and tools for training empathy team leaders, educators, social and healthcare providers.
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spelling pubmed-93305462022-07-29 Investigating the Relationship between Facial Mimicry and Empathy Kovalchuk, Yevgeniya Budini, Elizabeta Cook, Robert M. Walsh, Andrew Behav Sci (Basel) Article Facial expressions play a key role in interpersonal communication when it comes to negotiating our emotions and intentions, as well as interpreting those of others. Research has shown that we can connect to other people better when we exhibit signs of empathy and facial mimicry. However, the relationship between empathy and facial mimicry is still debated. Among the factors contributing to the difference in results across existing studies is the use of different instruments for measuring both empathy and facial mimicry, as well as often ignoring the differences across various demographic groups. This study first looks at the differences in the empathetic abilities of people across different demographic groups based on gender, ethnicity and age. The empathetic ability is measured based on the Empathy Quotient, capturing a balanced representation of both emotional and cognitive empathy. Using statistical and machine learning methods, this study then investigates the correlation between the empathetic ability and facial mimicry of subjects in response to images portraying different emotions displayed on a computer screen. Unlike the existing studies measuring facial mimicry using electromyography, this study employs a technology detecting facial expressions based on video capture and deep learning. This choice was made in the context of increased online communication during and after the COVID-19 pandemic. The results of this study confirm the previously reported difference in the empathetic ability between females and males. However, no significant difference in empathetic ability was found across different age and ethnic groups. Furthermore, no strong correlation was found between empathy and facial reactions to faces portraying different emotions shown on a computer screen. Overall, the results of this study can be used to inform the design of online communication technologies and tools for training empathy team leaders, educators, social and healthcare providers. MDPI 2022-07-24 /pmc/articles/PMC9330546/ /pubmed/35892350 http://dx.doi.org/10.3390/bs12080250 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kovalchuk, Yevgeniya
Budini, Elizabeta
Cook, Robert M.
Walsh, Andrew
Investigating the Relationship between Facial Mimicry and Empathy
title Investigating the Relationship between Facial Mimicry and Empathy
title_full Investigating the Relationship between Facial Mimicry and Empathy
title_fullStr Investigating the Relationship between Facial Mimicry and Empathy
title_full_unstemmed Investigating the Relationship between Facial Mimicry and Empathy
title_short Investigating the Relationship between Facial Mimicry and Empathy
title_sort investigating the relationship between facial mimicry and empathy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9330546/
https://www.ncbi.nlm.nih.gov/pubmed/35892350
http://dx.doi.org/10.3390/bs12080250
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