Assessment of the Communicative and Coordination Skills of Children with Autism Spectrum Disorders and Typically Developing Children Using Social Signal Processing

Autor/inn/en	Delaherche, Emilie; Chetouani, Mohamed; Bigouret, Fabienne; Xavier, Jean; Plaza, Monique; Cohen, David
Titel	Assessment of the Communicative and Coordination Skills of Children with Autism Spectrum Disorders and Typically Developing Children Using Social Signal Processing
Quelle	In: Research in Autism Spectrum Disorders, 7 (2013) 6, S.741-756 (16 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1750-9467
DOI	10.1016/j.rasd.2013.02.003
Schlagwörter	Autism; Pervasive Developmental Disorders; Children; Social Development; Interpersonal Communication; Communication Skills; Nonverbal Communication; Speech Communication; Developmental Stages; Counselors; Social Influences + Suchen Sie Ihr Suchwort? Autismus; Child; Kind; Kinder; Soziale Entwicklung; Interpersonale Kommunikation; Kommunikationsstil; Non-verbal communication; Nonverbale Kommunikation; Counselor; Counsellor; Counsellors; Berater; Sozialer Einfluss
Abstract	To cooperate with a partner, it is essential to communicate by sharing information through all available avenues, including hand gestures, gazes, head gestures and naturally, speech. In this paper, we compare the communicative and coordination skills of children with typical development to those of children with Autism Spectrum Disorders (ASDs) in cooperative joint action tasks. Communicative skills were assessed using a pragmatic annotation grid. Coordination skills were assessed based on automatically extracted features that characterize interactive behavior (turn-taking, synchronized gestures). First, we tested the performance of the interactive features when discriminating between the two groups of children (typical vs. ASD). Features characterizing the gestural rhythms of the therapist and the duration of his gestural pauses were particularly accurate at discriminating between the two groups. Second, we tested the ability of these features for the continuous classification problem of predicting the developmental age of the child. The duration of the verbal interventions of the therapist were predictive of the age of the child in all tasks. Furthermore, more features were predictive of the age of the child when the child had to lead the task. We conclude that social signal processing is a promising tool for the study of communication and interaction in children with ASD because we showed that therapists adapt differentially in three different tasks according to age and clinical status. (Contains 7 tables and 4 figures.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10