@ARTICLE{Ghaderi, author = {Seyed Fakhari, Negin and Ghaderi, Foad and }, title = {Analyzing Behavioral Markers of Autistic Children Using Eye Tracking Data}, volume = {7}, number = {4}, abstract ={Introduction: Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder that occurs in the early years of life and is characterized by social impairment, verbal and non-verbal communication difficulties as well as stereotypical behaviors. Rehabilitating autistic children at the early stages of growth, in which their brain is highly flexible, yields to enhanced treatment process and provides the chance of utilizing their talents. In other words, late detection and treatment will leave these children's behavior unchanged until adulthood. Considering the role of eyes, as one of the most valuable sources of information in social interactions and the different patterns of eye behaviors in autistic children in response to social stimuli, the non-invasive eye tracking technique is an appropriate approach to early diagnosis of this disorder. This way it is possible to investigate how visual stimuli are processed in autistic people at different ages. Conclusion: This study is a review of the previous studies in the field of eye-tracking data analytics conducted with the aim of identifying the autistic and normal children eye movement patterns in response to social stimuli. The results of published investigations confirm that eye tracking is an effective approach for identifying the different patterns of eye movements in autistic children compared to normal subjects. These differences can be assumed as the basis for developing intelligent ASD screening systems. }, URL = {http://shefayekhatam.ir/article-1-2000-en.html}, eprint = {http://shefayekhatam.ir/article-1-2000-en.pdf}, journal = {The Neuroscience Journal of Shefaye Khatam}, doi = {10.29252/shefa.7.4.79}, year = {2019} }