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It Is Not the Robot Who Learns, It Is Me.” Treating Severe Dysgraphia Using Child–Robot Interaction

Bibliographic Data

ID15525138
AuthorsThomas Gargot (0000-0003-1460-5820, Centre National de la Recherche Scientifique, corresponding author), Thibault Asselborn (0000-0001-9879-5048, Human Computer Interaction (Switzerland)), Ingrid Zammouri (Sorbonne Université), Julie Brunelle (Sorbonne Université), Wafa Johal (0000-0001-9118-0454, UNSW Sydney), Pierre Dillenbourg (0000-0001-9455-5119, Human Computer Interaction (Switzerland)), Dominique Archambault (Laboratoire Cognitions Humaine et Artificielle), Mohamed Chétouani (0000-0002-2920-4539, Centre National de la Recherche Scientifique), David Cohen (0000-0002-4970-0804), Salvatore M Anzalone (0000-0001-5163-970X, Laboratoire Cognitions Humaine et Artificielle)
Year2021
Volume12
Pages596055-596055
Publication date2021-02-23
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Psychiatry (JOURNAL)
Journal identifiersISSN: 1664-0640 • E-ISSN: 1664-0640
PublisherFrontiers Media (PUBLISHER • CH)
DOI10.3389/fpsyt.2021.596055
PMID33716812
OpenAlexW3131208988
LanguageEN
Citations received12
References cited36

Writing disorders are frequent and impairing. However, social robots may help to improve children's motivation and to propose enjoyable and tailored activities. Here, we have used the Co-writer scenario in which a child is asked to teach a robot how to write via demonstration on a tablet, combined with a series of games we developed to train specifically pressure, tilt, speed, and letter liaison controls. This setup was proposed to a 10-year-old boy with a complex neurodevelopmental disorder combining phonological disorder, attention deficit/hyperactivity disorder, dyslexia, and developmental coordination disorder with severe dysgraphia. Writing impairments were severe and limited his participation in classroom activities despite 2 years of specific support in school and professional speech and motor remediation. We implemented the setup during his occupational therapy for 20 consecutive weekly sessions. We found that his motivation was restored; avoidance behaviors disappeared both during sessions and at school; handwriting quality and posture improved dramatically. In conclusion, treating dysgraphia using child-robot interaction is feasible and improves writing. Larger clinical studies are required to confirm that children with dysgraphia could benefit from this setup

Cognitive psychology · Developmental psychology · Dysgraphia · Dyslexia · Handwriting · Reading (process · Assistive Technology in Communication and Mobility · Attention Deficit Hyperactivity Disorder · Autism Spectrum Disorder Research · Clinical Psychology · Computer Science · Psychology · Writing and Handwriting Education · Artificial Intelligence

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Unique citing works12
Citations per year3
Citation span2022 - 2026 (5)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 12

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