Q-CHAT-NAO: A robotic approach to autism screening in toddlers

• DOI: 10.1016/j.jbi.2021.103797
• Publication Date: 2021-04-30T04:48:17Z
• Authors: Rubén Romero-García; Rafael Martínez-T...; Pilar Pozo; Félix de la Paz; Encarnación Sarriá
• Keywords: Toddler

The use of humanoid robots as assistants in therapy processes is not new. Several projects the past several years have achieved promising results when combining human–robot interaction with standard techniques. Moreover, there are multiple screening systems for autism; one most used Quantitative Checklist Autism Toddlers (Q-CHAT-10), which includes ten questions to be answered by parents or caregivers a child. We present Q-CHAT-NAO, an observation-based autism system supported NAO robot. It six Q-CHAT-10 that can adapted work robotic context; unlike original system, it obtains information from toddler instead indirect source. detection obtained after applying machine learning models Autistic Spectrum Disorder Screening Data dataset were almost equivalent those version questions. These findings indicate Q-CHAT-NAO could option would exploit all benefits related human-robot interaction.