Journal article
Group Differences in Facial Emotion Expression in Autism: Evidence for the Utility of Machine Classification
Behavior therapy, v 50(4), pp 828-838
01 Jul 2019
PMID: 31208691
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Effective social communication relies, in part, on accurate nonverbal expression of emotion. To evaluate the nature of facial emotion expression (FEE) deficits in children with autism spectrum disorder (ASD), we compared 20 youths with ASD to a sample of typically developing (TD) youth (n = 20) using a machine-based classifier of FEE. Results indicate group differences in FEE for overall accuracy across emotions. In particular, a significant group difference in accuracy of FEE was observed when participants were prompted by a video of a human expressing an emotion, F(2, 36) = 4.99, p = .032, eta(2) = .12. Specifically, youth with ASD made significantly more errors in FEE relative to TD youth. Findings support continued refinement of machine-based approaches to assess and potentially remediate FEE impairment in youth with ASD.
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Details
- Title
- Group Differences in Facial Emotion Expression in Autism: Evidence for the Utility of Machine Classification
- Creators
- Nicole N. Capriola-Hall - University of AlabamaAndrea Trubanova Wieckowski - Alexandria UniversityDeanna Swain - Alexandria UniversityVirginia Tech - Alexandria UniversitySherin Aly - Alexandria UniversityAmira Youssef - Virginia TechA. Lynn Abbott - Virginia TechSusan W. White - University of Alabama
- Publication Details
- Behavior therapy, v 50(4), pp 828-838
- Publisher
- Elsevier
- Number of pages
- 11
- Grant note
- R03HD081070 / EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD) R03HD081070 / NICHD; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- A.J. Drexel Autism Institute
- Web of Science ID
- WOS:000473119900013
- Scopus ID
- 2-s2.0-85060855290
- Other Identifier
- 991021862412304721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Psychiatry
- Psychology, Clinical