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Robot-assisted handwriting training: An intervention for children with neurodevelopmental disorders

Zou, Jianling; Gauthier, Soizic; Archambault, Dominique; Chetouani, Mohamed; Cohen, David ; Anzalone, Salvatore M. ; Bruno, Barbara ORCID iD icon 1; Tozadore, Daniel C.; Wang, Chenyang; Dillenbourg, Pierre; El Farhane, Soraya; Zammouri, Ingrid; Lemerle, Atika; Asselborn, Thibault; Gargot, Thomas
1 Institut für Anthropomatik und Robotik (IAR), Karlsruher Institut für Technologie (KIT)

Abstract:

Social robots offer promising possibilities for special education, particularly in supporting children with complex neurodevelopmental disorders (NDDs) who often experience learning difficulties, such as challenges with handwriting skills. However, most studies to date have been short-term and conducted in controlled lab settings. This study presents a robot-assisted intervention using a Wizard of Oz interface, the R2C3 system (Rehabilitation Robotic Companion for Children and Caregivers), to support handwriting reeducation in a real, long-term educational setting. The intervention adopted a learning-by-teaching scenario involving 18 children with NDD and dysgraphia, alongside 8 caregivers (teachers or occupational therapists), who participated in 9 handwriting-focused sessions facilitated through a serious game. Results showed strong engagement with low attrition (2 dropouts) and substantial improvement: 73.3 % of children improved their handwriting scores by at least one standard deviation on the BHK test. Improvement was significantly associated with engagement in the game and the nature of verbal exchanges, emphasizing the social robot's role in the design of our sessions. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000186915
Veröffentlicht am 18.11.2025
Originalveröffentlichung
DOI: 10.1016/j.chbr.2025.100799
Dimensions
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Anthropomatik und Robotik (IAR)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 12.2025
Sprache Englisch
Identifikator ISSN: 2451-9588
KITopen-ID: 1000186915
Erschienen in Computers in Human Behavior Reports
Verlag Elsevier Ltd.
Band 20
Seiten 100799
Nachgewiesen in Dimensions
OpenAlex
Scopus
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