Detecting Autism Based on Eye-Tracking Data from Web Searching Tasks
Victoria Yaneva, Le An Ha, Sukru Eraslan, Yeliz Yesilada, Ruslan Mitkov · 2018 · Proceedings of the 15th International Web for All Conference (W4A)
This paper investigates whether eye-tracking data collected during everyday web tasks can be used to distinguish between people with and without autism, potentially enabling a low-cost, accessible screening approach. The study collected gaze data from 15 adults with clinically…
autism · eye tracking · machine learning · web accessibility · cognitive accessibility