An Eye-Tracking Data-Based Decision Support System for Autism Risk Assessment

• In Event: Marriott Roundtable Session 70
  In Roundtable Session: Cognition and Assessment SIG Roundtable 2

Abstract

Autism Spectrum Disorders (ASD) is a neurodevelopmental disorder that can be can be detected in children when they are younger than three years old. Eye tracking technology is a promising methodology for characterizing the early features of autism. In this paper, we develop a Decision Support System (DSS) that is based on eye tracking data for helping early detection of ASD. The proposed DSS employs four data eye tracking data features and two different classification algorithms. The data features representing the data are selected using a heuristic method. The developed DSS can achieve up to 80% success rate in diagnosis of ASD.

Authors

• Selda Ozdemir, Gazi University

• İbrahim Kök, Gazi University

• Isik Akin Bulbul, Gazi University

• Suat Ozdemir, Gazi University

• Zahide Toret, Gazi University