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Assessing Children’s Performance on the Facial Emotion Recognition Task with Familiar and Unfamiliar Faces: An Autism Study
Title
Assessing Children’s Performance on the Facial Emotion Recognition Task with Familiar and Unfamiliar Faces: An Autism Study.
Creator
Shanok, Nathaniel, Jones, Nancy Aaron, Florida Atlantic University, Charles E. Schmidt College of Science, Department of Psychology
Abstract/Description
Studies exploring facial emotion recognition (FER) abilities in autism spectrum disorder (ASD) samples have yielded inconsistent results despite the widely-accepted finding that an impairment in emotion recognition is a core component of ASD. The current study aimed to determine if an FER task featuring both unfamiliar and familiar faces would highlight additional group differences between ASD children and typically developing (TD) children. We tested the two groups of 4- to 8-year-olds on...
Show moreStudies exploring facial emotion recognition (FER) abilities in autism spectrum disorder (ASD) samples have yielded inconsistent results despite the widely-accepted finding that an impairment in emotion recognition is a core component of ASD. The current study aimed to determine if an FER task featuring both unfamiliar and familiar faces would highlight additional group differences between ASD children and typically developing (TD) children. We tested the two groups of 4- to 8-year-olds on this revised task, and also compared their resting-state brain activity using electroencephalogram (EEG) measurements. As hypothesized, the TD group had significantly higher overall emotion recognition percent scores. In addition, there was a significant interaction effect of group by familiarity, with the ASD group recognizing emotional expressions significantly better in familiar faces than in unfamiliar ones. This finding may be related to the preference of children with autism for people and situations which they are accustomed to. TD children did not demonstrate this pattern, as their recognition scores were approximately the same for familiar faces and unfamiliar ones. No significant group differences existed for EEG alpha power or EEG alpha asymmetry in frontal, central, temporal, parietal, or occipital brain regions. Also, neither of these EEG measurements were strongly correlated with the group FER performances. Further evidence is needed to assess the association between neurophysiological measurements and behavioral symptoms of ASD. The behavioral results of this study provide preliminary evidence that an FER task featuring both familiar and unfamiliar expressions produces a more optimal assessment of emotion recognition ability.
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Date Issued
2017
PURL
http://purl.flvc.org/fau/fd/FA00004908, http://purl.flvc.org/fau/fd/FA00004908
Subject Headings
Emotions in children., Social skills in children., Nonverbal communication., Pattern recognition systems., Face perception.
Format
Document (PDF)
FACIAL EMOTION RECOGNITION ABILITY IN CHILDREN WITH AUTISM SPECTRUM DISORDERS
Title
FACIAL EMOTION RECOGNITION ABILITY IN CHILDREN WITH AUTISM SPECTRUM DISORDERS.
Creator
Brooks, Katy, Jones, Nancy Aaron, Florida Atlantic University, Department of Psychology, Charles E. Schmidt College of Science
Abstract/Description
The present study aimed to gain a better understanding of the emotion processing abilities of children between the ages of 4 and 8 with ASD by examining their ability to correctly recognize dynamic displays of emotion. Additionally, we examined whether children with ASD showed emotion specific differences in their ability to accurately identify anger, happiness, sadness, and fear. Participants viewed a continuous display of neutral faces morphing into expressions of emotion. We aimed to...
Show moreThe present study aimed to gain a better understanding of the emotion processing abilities of children between the ages of 4 and 8 with ASD by examining their ability to correctly recognize dynamic displays of emotion. Additionally, we examined whether children with ASD showed emotion specific differences in their ability to accurately identify anger, happiness, sadness, and fear. Participants viewed a continuous display of neutral faces morphing into expressions of emotion. We aimed to measure observed power and asymmetry using EEG data in order to understand the neural activity that underlies the social aspects of ASD. Participants with ASD showed slower processing speed and decreased emotion sensitivity. On tasks that involved the recognition of expressions on the participants’ mothers’ faces, differences were less apparent. These results suggest that children with ASD are capable of recognizing facial displays of emotion after repeated exposure, this should be explored further in future research.
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Date Issued
2020
PURL
http://purl.flvc.org/fau/fd/FA00013463
Subject Headings
Children with autism spectrum disorders, Emotion recognition in children, Facial expression
Format
Document (PDF)
Facial Expression Computer Interaction System for Children with Asperger's Syndrome
Title
Facial Expression Computer Interaction System for Children with Asperger's Syndrome.
Creator
Amador, Francisco Javier, Huang, Shihong, Florida Atlantic University
Abstract/Description
People with Autism Spectrum Disorders, particularly Asperger's Syndrome, have a set of symptoms, such as difficulty processing emotive facial expressions and making less eye contact, that affect the individual's social interactions. The prototype developed is geared to help children with Asperger's Syndrome recognize facial expressions, improve eye contact, and to reinforce connections between facial and verbal components of expressions. This application utilizes a computer generated human...
Show morePeople with Autism Spectrum Disorders, particularly Asperger's Syndrome, have a set of symptoms, such as difficulty processing emotive facial expressions and making less eye contact, that affect the individual's social interactions. The prototype developed is geared to help children with Asperger's Syndrome recognize facial expressions, improve eye contact, and to reinforce connections between facial and verbal components of expressions. This application utilizes a computer generated human head, an avatar, to interact with the children while displaying various emotions and using games to increase the children's eye contact. The unique properties of the avatar utilized allow for a comprehensive coverage of the children's attention spectrum to maximize their learning potential. Knowing that about 17% of Autism Spectrum Disorders belong to the Asperger's Syndrome subclass, the positive impact of this application on their life would be of great importance for their families and the community.
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Date Issued
2010
PURL
http://purl.flvc.org/fau/fd/FA00012503
Subject Headings
Autism spectrum disorders--Treatment--Technological innovations, Optical pattern recognition, Interpersonal communication in children, Emotions in children, Exceptional children--Psychology, Social skills in children
Format
Document (PDF)