Work in Progress: Promoting Self-Regulation for Children with Autistic Spectrum Disorder with Robots
Résumé
The main challenge in educating children with specific needs, particularly those with Autistic Spectrum Disorder (ASD), revolves around their adjustment to the learning environ- ment and their cognitive functions, notably through information processing, executive function control and emotional regulation, which refer to Self-Regulation (SR). SR deficits address signifi- cant hurdles, not only for children with ASD but also for teachers who encounter difficulties trying to implement self-regulation systems. The simplicity of robots, such as facial expressions or monotone voice would create less stressful interactions for children with ASD and would improve SR in educational context. Integration models like the 4A model aim to gradually introduce these tools into the classroom. This experimental study, conducted in an ecological settings (which were not studied in literature), has a dual purpose: first, to evaluate the acceptability of robotic agents among teachers and educators; second, to explore how these artificial agents can enhance self-regulation development for children with ASD. This study will have both, qualitatives and quantitatives measures. We expect that Self-Regulation of a child with ASD using a robot depends on the functionality of the robot. Moreover, the most effective and acceptable robot for teachers will be easy to program, have an intuitive interface, and possess hybrid particularities. Finally, we expect that these robots will support children’s self-regulation by a learning effect over the long-term. The aim of this study is to deliver a guide for robots’ utilization for SR, and to generalize it in school context.
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