Motion-Capture Patterns of Voluntarily Mimicked Dynamic Facial Expressions in Children and Adolescents With and Without ASD
| Autor: | Tanaya Guha, Emily Zane, Zhaojun Yang, Shrikanth S. Narayanan, Ruth B. Grossman, Lucia Pozzan |
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| Rok vydání: | 2018 |
| Předmět: |
Male
medicine.medical_specialty Adolescent genetic structures Autism Spectrum Disorder Movement Emotions Video Recording Audiology behavioral disciplines and activities Article Young Adult 03 medical and health sciences Nonverbal communication 0302 clinical medicine mental disorders Developmental and Educational Psychology medicine Humans 0501 psychology and cognitive sciences Emotional expression Valence (psychology) Child Facial expression Electromyography 05 social sciences medicine.disease Imitative Behavior Expression (mathematics) Facial Expression Autism spectrum disorder Autism Female Psychology Photic Stimulation 030217 neurology & neurosurgery Neurotypical 050104 developmental & child psychology |
| Zdroj: | Journal of Autism and Developmental Disorders. 49:1062-1079 |
| ISSN: | 1573-3432 0162-3257 |
| DOI: | 10.1007/s10803-018-3811-7 |
| Popis: | Research shows that neurotypical individuals struggle to interpret the emotional facial expressions of people with Autism Spectrum Disorder (ASD). The current study uses motion-capture to objectively quantify differences between the movement patterns of emotional facial expressions of individuals with and without ASD. Participants volitionally mimicked emotional expressions while wearing facial markers. Marker movement was recorded and grouped by expression valence and intensity. We used Growth Curve Analysis to test whether movement patterns were predictable by expression type and participant group. Results show significant interactions between expression type and group, and little effect of emotion valence on ASD expressions. Together, results support perceptions that expressions of individuals with ASD are different from -- and more ambiguous than -- those neurotypical individuals’. |
| Databáze: | OpenAIRE |
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