Engagement detection for children with Autism Spectrum Disorder
Authors: Papaeliou, Christina 
Iosif, Elias 
Potamianos, Alexandros 
Chorianopoulou, Arodami 
Papoulidi, Asimenia 
Tzinis, Efthymios 
Issue Date: 1-Jan-2017
Conference: 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 5-9 March 2017, New Orleans, USA 
Book: Proceedings of the 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 
Keywords: Autism spectrum disorder, Child engagement, Engagement detection
Abstract: 
Children with Autism Spectrum Disorder (ASD) face several difficulties in social communication. Hence, analyzing social interaction can provide insight on their social and cognitive skills. In this paper, we investigate the degree of engagement of children in interactions with their parents. Features derived from both participants including acoustic, linguistic and dialogue act features are explored. The effect of visual cues is also investigated. We experimented on the task of engagement detection using video-recorded sessions consisting of interactions of typically developing (TD) and ASD children. Results show that engagement is easier to predict for TD children than for ASD children, and that the parent's actions/movements are better predictors of the child's degree of engagement.
ISBN: 9781509041176
ISSN: 15206149
DOI: 10.1109/ICASSP.2017.7953119
URI: https://uniwacris.uniwa.gr/handle/3000/1590
Type: Conference Paper
Department: Department of Early Childhood Education and Care 
School: School of Administrative, Economics and Social Sciences 
Affiliation: University of West Attica (UNIWA) 
Appears in Collections:Book Chapter / Κεφάλαιο Βιβλίου

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