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Auteur Emilie DELAHERCHE |
Documents disponibles écrits par cet auteur (1)
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Assessment of the communicative and coordination skills of children with Autism Spectrum Disorders and typically developing children using social signal processing / Emilie DELAHERCHE in Research in Autism Spectrum Disorders, 7-6 (June 2013)
[article]
Titre : Assessment of the communicative and coordination skills of children with Autism Spectrum Disorders and typically developing children using social signal processing Type de document : Texte imprimé et/ou numérique Auteurs : Emilie DELAHERCHE, Auteur ; Mohamed CHETOUANI, Auteur ; Fabienne BIGOURET, Auteur ; Jean XAVIER, Auteur ; Monique PLAZA, Auteur ; David COHEN, Auteur Article en page(s) : p.741-756 Langues : Anglais (eng) Mots-clés : Social signal processing Coordination Imitation Autism spectrum disorder Index. décimale : PER Périodiques Résumé : 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. En ligne : http://dx.doi.org/10.1016/j.rasd.2013.02.003 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=199
in Research in Autism Spectrum Disorders > 7-6 (June 2013) . - p.741-756[article] Assessment of the communicative and coordination skills of children with Autism Spectrum Disorders and typically developing children using social signal processing [Texte imprimé et/ou numérique] / Emilie DELAHERCHE, Auteur ; Mohamed CHETOUANI, Auteur ; Fabienne BIGOURET, Auteur ; Jean XAVIER, Auteur ; Monique PLAZA, Auteur ; David COHEN, Auteur . - p.741-756.
Langues : Anglais (eng)
in Research in Autism Spectrum Disorders > 7-6 (June 2013) . - p.741-756
Mots-clés : Social signal processing Coordination Imitation Autism spectrum disorder Index. décimale : PER Périodiques Résumé : 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. En ligne : http://dx.doi.org/10.1016/j.rasd.2013.02.003 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=199