Early identification of ASD is, at present, a global challenge. Several factors like increased behavioral variability at a young age, heterogenic profiles of the ASD as well as the overlapping features of this condition with other developmental disorders complicate the early detection of children with ASD. While several biomarkers of ASD have been identified and proposed in the recent years, many of these face criticism because of time constraints, cost factors, and lack of replicability. Of late, the eye-tracking technology has provided the opportunity to detect even subtle aberrations in eye gaze during social interaction in young children with ASD. Being a non-invasive technique, the eye-tracking and gaze monitoring in young children are advantageous over several other methods like neuroimaging and biochemical investigations. In the recent years, several researchers have proposed eye-tracking paradigms and tasks to assess gaze monitoring in children with ASD using a range of stimuli. However, most of such evidence is drawn from only observational studies that compare children with ASD and typically-developing (TD) controls. That is, these tasks and paradigms are not validated across various settings and age ranges, thereby limiting their application in screening and early identification of children with ASD. Hence, it is necessary to examine various eye-tracking paradigms and tasks proposed for children with ASD to identify the valid paradigms and tasks for the early identification of ASD. 

The proposed project is expected to validate an eye gaze based screening protocol for early detection of children with ASD that may provide an easy and quick screening test that can be used by health providers like pediatricians. This would help in early identification, monitoring, and intervention of children with ASD, thereby improving the outcome and quality of life of families and children with ASD. This study would be the first of its kind in the Indian context and would be relevant given the country population and rising incidence of ASD.