Proposal of evaluation methods of interaction between a mobile robot and children with Autism Spectrum Disorder

Abstract

Manifestations of cognitive and neurobehavioral disorders such as repetitive movements, impaired communication and social interaction level characterize Autism Spectrum Disorder - ASD, a condition of unknown etiology and still without cure. Currently, many researches integrate robotics to the treatment of ASD with varied functions that allow interaction with children with this disorder. Therefore, evaluation criteria become important to analyze the efficiency the use of robotics in this interaction. The methods here proposed are Goal Attainment Scaling (GAS), System Usability Scale (SUS) and Fitts' Law. The use of such methods of evaluation allows transpose qualitative assessments into quantitative, making the work more robust and reliable.