Na Yeon Kim, Junfeng He, Qianying Wu, Na Dai, Kai Kohlhoff, Jasmin Turner, Lynn K Paul, Daniel P Kennedy, Ralph Adolphs, Vidhya Navalpakkam
Atypical gaze patterns are a promising biomarker of autism spectrum disorder. To measure gaze accurately, however, it typically requires highly controlled studies in the laboratory using specialized equipment that is often expensive, thereby limiting the scalability of these approaches. Here we test whether a recently developed smartphone-based gaze estimation method could overcome such limitations and take advantage of the ubiquity of smartphones. As a proof-of-principle, we measured gaze while a small sample of well-assessed autistic participants and controls watched videos on a smartphone, both in the laboratory (with lab personnel) and in remote home settings (alone)...
April 25, 2024: Autism Research: Official Journal of the International Society for Autism Research