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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

• Information overload in non-visual web transaction: context analysis spells relief

  Jalal Mahmud · 2007 · Proceedings of the 9th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '07)

  This short ASSETS 2007 poster paper from Jalal Mahmud at Stony Brook University describes ongoing PhD research into reducing the information overload that blind users experience when completing multi-step web transactions — shopping, registrations, bill payments — using a screen…

  screen readers · non-visual web access · web page segmentation · context analysis · web transactions

• Variable frame rate for low power mobile sign language communication

  Neva Cherniavsky, Anna C. Cavender, Richard E. Ladner, Eve A. Riskin · 2007 · Proceedings of the 9th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '07)

  This paper from the University of Washington MobileASL team — Neva Cherniavsky, Anna Cavender, Richard Ladner, and Eve Riskin — addresses a then-emerging problem: enabling Deaf people in the United States to hold real-time American Sign Language conversations over the cellular…

  American Sign Language · sign language · fingerspelling · Deaf community · video phone

• Accessibility Evaluation based on Machine Learning Technique

  Daisuke Sato, Hironobu Takagi, Chieko Asakawa · 2006 · Proceedings of the 8th International ACM SIGACCESS Conference on Computers and Accessibility (Assets '06)

  This paper from IBM Tokyo Research Lab proposes using machine learning to evaluate the accessibility of presentation documents, addressing a gap where traditional rule-based checking tools are insufficient. The authors argue that presentation documents are fundamentally…

  automated testing · machine learning · presentation accessibility · accessibility evaluation · support vector machine

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