For decades, autism research has relied on data collected during lab tasks or interviews with clinicians that are more constrained than the child’s day-to-day interactions with others. A study ...

A joint attention-based deep learning system provides good predictive performance for differentiating autism spectrum disorder (ASD) from typical development (TD), according to a study published ...

You're looking at a truck. You're with a young child and he follows your gaze. He's interested in the object you're looking at without you pointing at it. This is called joint attention and it is one ...

Studies reveal a complex interplay of traits, genes, and brain structure behind the dual diagnosis—raising new questions ...

A new study published in the Journal of Computer Assisted Learning introduces a novel Robot-Inspired Computer-Assisted Adaptive Autism Therapy (RoboCA3T) that leverages the natural affinity of ...