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A Tool to Diagnose Autism in Children Aged Between Two to Five Old

Authors :
Yves-Marie Merat
Mélanie Couture
Bianca Côté
François Michaud
Maryse Lavoie
Tamie Salter
Julie Golliot
Audrée Jeanne Beaudoin
Cynthia Duclos
Mark Vezina
Catherine Raby-Nahas
Ecole Nationale Supérieure de Cognitique (ENSC)
Institut Polytechnique de Bordeaux
Géoazur (GEOAZUR 6526)
Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Nice Sophia Antipolis (... - 2019) (UNS)
COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de la Côte d'Azur
COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)
Source :
HRI (Extended Abstracts), HRI'15 Extended Abstracts: Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction, Human Robot Interaction, the Tenth Annual ACM/IEEE International Conference, Human Robot Interaction, the Tenth Annual ACM/IEEE International Conference, Mar 2015, Portland, United States. ⟨10.1145/2701973.2701975⟩
Publication Year :
2015
Publisher :
ACM, 2015.

Abstract

International audience; QueBall is a spherical robot capable of motion and equipped with touch sensors, multi-colored lights, sounds, and a wireless interface with an iOS device. While these capabilities may be useful in assisting the early diagnosis of autism, no detailed guidelines have yet been established to achieve this. In this report, we described the exploratory study conducted with an interdisciplinary research team to adapt QueBall's capabilities in order to have clinicians observe how children interact with QueBall. This is the preliminary phase in designing an experimental protocol to evaluate the use of QueBall in diagnosing autism for children from two to five years of age.

Details

Database :
OpenAIRE
Journal :
Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction Extended Abstracts
Accession number :
edsair.doi.dedup.....446cfcc7d2d69cfc92334da18852458c
Full Text :
https://doi.org/10.1145/2701973.2701975