Impact of robot-mediated interaction system on joint attention skills for children with autism

Zhi Zheng, Lian Zhang, Esubalew Bekele, Amy Swanson, Julie A. Crittendon, Zachary Warren, Nilanjan Sarkar
2013 2013 IEEE 13th International Conference on Rehabilitation Robotics (ICORR)  
With Centers for Disease Control and Prevention prevalence estimates for children with autism spectrum disorder 1 in 88, identification and effective treatment of autism spectrum disorder (ASD) is often characterized as a public health emergency. There is an urgent need for more efficacious treatments whose realistic application will yield more substantial impact on the neurodevelopmental trajectories of young children with ASD. Robotic technology appears particularly promising for potential
more » ... lication to ASD intervention. Initial results applying robotic technology to ASD intervention have consistently demonstrated a unique potential to elicit interest and attention in young children with ASD. As such, technologies capable of intelligently harnessing this potential, along with capabilities for detecting and meaningfully responding to young children's attention and behavior, may represent intervention platforms with substantial promise for impacting early symptoms of ASD. Our current work describes development and application of a novel adaptive robot-mediated interaction technology for facilitating early joint attention skills for children with ASD. The system is composed of a humanoid robot endowed with a prompt decision hierarchy to alter behavior in concert with reinforcing stimuli within an intervention environment to promote joint attention skills. Results of implementation of this system over time, including specific analyses of attentional bias and performance enhancement, with 6 young children with ASD are presented.
doi:10.1109/icorr.2013.6650408 pmid:24187227 pmcid:PMC5606977 dblp:conf/icorr/ZhengZBSCWS13 fatcat:v2liiikayjd57bfucbkcmazhfu