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• Detecting Readers with Dyslexia Using Machine Learning with Eye Tracking Measures

  Luz Rello, Miguel Ballesteros · 2015 · Proceedings of the 12th International Web for All Conference (W4A)

  This paper presents the first machine learning model to automatically detect readers with dyslexia using eye tracking data. The authors trained a Support Vector Machine (SVM) binary classifier on a dataset of 1,135 readings from 97 Spanish-speaking participants aged 11 to 54 —…

  dyslexia · eye tracking · machine learning · detection · support vector machine

• Accessible Texts for Autism: An Eye-Tracking Study

  Victoria Yaneva, Irina Temnikova, Ruslan Mitkov · 2015 · ASSETS '15: Proceedings of the 17th International ACM SIGACCESS Conference on Computers & Accessibility

  This pioneering study is the first to use eye-tracking technology with autistic participants to evaluate text document accessibility. People with Autism Spectrum Disorder experience difficulties with reading comprehension—including processing complex sentences, understanding…

  autism · ASD · eye tracking · reading comprehension · easy-read

• Filteryedping: Design Challenges and User Performance of Dwell-Free Eye Typing

  Diogo Pedrosa, Maria da Graça Pimentel, Amy Wright, Khai N. Truong · 2015 · ACM Transactions on Accessible Computing

  This paper introduces Filteryedping, a dwell-free eye typing technique designed to help people with severe motor disabilities communicate through eye gaze. Traditional dwell-based eye typing requires users to fixate on a key for a specific duration (typically 400-1000ms) to…

  eye tracking · eye typing · dwell-free · motor disability · ALS

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