Having Difficulties Reading the Facial Expression of Older Individuals? Blame It on the Facial Muscles, Not the Wrinkles

Previous studies have found it is more difficult identifying an emotional expression displayed by an older than a younger face. It is unknown whether this is caused by age-related changes such as wrinkles and folds interfering with perception, or by the aging of facial muscles, potentially reducing...

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Main Authors: Sabrina N. Grondhuis, Angela Jimmy, Carolina Teague, Nicolas M. Brunet
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-06-01
Series:Frontiers in Psychology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyg.2021.620768/full
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author Sabrina N. Grondhuis
Angela Jimmy
Carolina Teague
Nicolas M. Brunet
author_facet Sabrina N. Grondhuis
Angela Jimmy
Carolina Teague
Nicolas M. Brunet
author_sort Sabrina N. Grondhuis
collection DOAJ
description Previous studies have found it is more difficult identifying an emotional expression displayed by an older than a younger face. It is unknown whether this is caused by age-related changes such as wrinkles and folds interfering with perception, or by the aging of facial muscles, potentially reducing the ability of older individuals to display an interpretable expression. To discriminate between these two possibilities, participants attempted to identify facial expressions under different conditions. To control for the variables (wrinkles/folds vs facial muscles), we used Generative Adversarial Networks to make faces look older or younger. Based upon behavior data collected from 28 individuals, our model predicts that the odds of correctly identifying the expressed emotion of a face reduced 16.2% when younger faces (condition 1) are artificially aged (condition 3). Replacing the younger faces with natural old-looking faces (Condition 2), however, results in an even stronger effect (odds of correct identification decreased by 50.9%). Counterintuitively, making old faces (Condition 2) look young (Condition 4) results in the largest negative effect (odds of correct identification decreased by 74.8% compared with natural young faces). Taken together, these results suggest that both age-related decline in the facial muscles’ ability to express facial emotions and age-related physical changes in the face, explain why it is difficult to recognize facial expressions from older faces; the effect of the former, however, is much stronger than that of the latter. Facial muscle exercises, therefore, might improve the capacity to convey facial emotional expressions in the elderly.
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spelling doaj.art-d9052220d66a4cd2b1b8480b04601f0a2022-12-21T18:48:25ZengFrontiers Media S.A.Frontiers in Psychology1664-10782021-06-011210.3389/fpsyg.2021.620768620768Having Difficulties Reading the Facial Expression of Older Individuals? Blame It on the Facial Muscles, Not the WrinklesSabrina N. GrondhuisAngela JimmyCarolina TeagueNicolas M. BrunetPrevious studies have found it is more difficult identifying an emotional expression displayed by an older than a younger face. It is unknown whether this is caused by age-related changes such as wrinkles and folds interfering with perception, or by the aging of facial muscles, potentially reducing the ability of older individuals to display an interpretable expression. To discriminate between these two possibilities, participants attempted to identify facial expressions under different conditions. To control for the variables (wrinkles/folds vs facial muscles), we used Generative Adversarial Networks to make faces look older or younger. Based upon behavior data collected from 28 individuals, our model predicts that the odds of correctly identifying the expressed emotion of a face reduced 16.2% when younger faces (condition 1) are artificially aged (condition 3). Replacing the younger faces with natural old-looking faces (Condition 2), however, results in an even stronger effect (odds of correct identification decreased by 50.9%). Counterintuitively, making old faces (Condition 2) look young (Condition 4) results in the largest negative effect (odds of correct identification decreased by 74.8% compared with natural young faces). Taken together, these results suggest that both age-related decline in the facial muscles’ ability to express facial emotions and age-related physical changes in the face, explain why it is difficult to recognize facial expressions from older faces; the effect of the former, however, is much stronger than that of the latter. Facial muscle exercises, therefore, might improve the capacity to convey facial emotional expressions in the elderly.https://www.frontiersin.org/articles/10.3389/fpsyg.2021.620768/fullfacial expressionsfacial musclesaging relatedartificial agingemotional expressionsemotion recognition
spellingShingle Sabrina N. Grondhuis
Angela Jimmy
Carolina Teague
Nicolas M. Brunet
Having Difficulties Reading the Facial Expression of Older Individuals? Blame It on the Facial Muscles, Not the Wrinkles
Frontiers in Psychology
facial expressions
facial muscles
aging related
artificial aging
emotional expressions
emotion recognition
title Having Difficulties Reading the Facial Expression of Older Individuals? Blame It on the Facial Muscles, Not the Wrinkles
title_full Having Difficulties Reading the Facial Expression of Older Individuals? Blame It on the Facial Muscles, Not the Wrinkles
title_fullStr Having Difficulties Reading the Facial Expression of Older Individuals? Blame It on the Facial Muscles, Not the Wrinkles
title_full_unstemmed Having Difficulties Reading the Facial Expression of Older Individuals? Blame It on the Facial Muscles, Not the Wrinkles
title_short Having Difficulties Reading the Facial Expression of Older Individuals? Blame It on the Facial Muscles, Not the Wrinkles
title_sort having difficulties reading the facial expression of older individuals blame it on the facial muscles not the wrinkles
topic facial expressions
facial muscles
aging related
artificial aging
emotional expressions
emotion recognition
url https://www.frontiersin.org/articles/10.3389/fpsyg.2021.620768/full
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