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Metrics for a Human-Robot-Game platform to evaluate attention and emotion in children with ASD

Abstract:

Robots' assistance has become much more common for human interaction. Particularly, Social robots are used to support everyday activities, including education. It has been evidenced that children with Autism Spectrum Disorder (ASD) express interest in using digital games, especially if they are linked to robots. However, there is little evidence regarding the existence of evaluation tools that can monitor the interaction between Human-Robot-Game (HRG), helping to evaluate a child's social and learning skills using this technology. This study aims to develop a dashboard system that allows recording and graphically representing the results obtained from usability metrics, attention, and emotional behavior analysis of an HRG platform. This research can assist psychologists, therapists, and tutors in evaluating the grade of attention and level of emotions children have during an HRG session. The outcomes also help to give more insights for a better design of innovative EDG and metric parameters for the measurements of a robot's behavior routines used in children with ASD and neurotypicals.