Early and objective autism spectrum disorder (ASD) assessment, as well as early
intervention are particularly important and may have long term benefits in the lives of ASD …

Background Machine learning has been widely used to identify Autism Spectrum Disorder
(ASD) based on eye-tracking, but its accuracy is uncertain. We aimed to summarize the …

Background Previous studies have shown promising results in identifying individuals with
autism spectrum disorder (ASD) by applying machine learning (ML) to eye-tracking data …

The purpose of this study is to test whether visual processing differences between adults
with and without high-functioning autism captured through eye tracking can be used to …

A new detection method for cognitive impairments is presented utilizing an eye tracking
signals in a text reading test. This research enhances published articles that extract …

Abstract Autism Spectrum Disorder is a developmental disorder characterized by a deficit in
social behaviour and specific interactions such as reduced eye contact and body gestures …

Autism-also known as Autism Spectrum Disorders or Autism Spectrum Conditions-is a
neurodevelopmental condition characterized by repetitive behaviours and differences in …

Eye tracking is a promising tool for Autism Spectrum Disorder (ASD) detection in both
children and adults. An important aspect of social communication is keeping eye contact …

Eye tracking has become increasingly important in many sectors because of its ability to
facilitate day to day activities, especially for users with special needs, where tasks as simple …

Autism spectrum disorder (ASD) poses a complex challenge to researchers and
practitioners, with its multifaceted etiology and varied manifestations. Timely intervention is …