Engagement detection for children with Autism Spectrum Disorder

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. Feature...

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Bibliographic Details
Published in2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pp. 5055 - 5059
Main Authors Chorianopoulou, Arodami, Tzinis, Efthymios, Iosif, Elias, Papoulidi, Asimenia, Papailiou, Christina, Potamianos, Alexandros
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2017
Subjects
Acoustics
Autism
autism spectrum disorder
Automobiles
child engagement
engagement detection
Feature extraction
Pragmatics
Psychology
Variable speed drives
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Summary: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.
ISSN:2379-190X
DOI:10.1109/ICASSP.2017.7953119