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• Intelligent Assistive Communication and the Web as a Social Medium

  Karl Wiegand · 2014 · Proceedings of the 11th Web for All Conference (W4A)

  This short paper presents doctoral research on applying natural language processing (NLP) and machine learning to improve augmentative and alternative communication (AAC) systems, with a particular focus on enabling web-based social interaction for people with severe speech…

  augmentative and alternative communication · AAC · natural language processing · machine learning · social media accessibility

• Can a Blind Person Understand Your World?

  Chieko Asakawa · 2014 · Proceedings of the 11th Web for All Conference (W4A)

  This keynote paper by Chieko Asakawa of IBM Research presents a vision for the next frontier of accessibility for blind people: moving from digital information access to real-world understanding through cognitive computing. Asakawa charts the exponential growth of accessible…

  blindness · cognitive assistance · image recognition · computer vision · machine learning

• Predictive, Accessible Web Automation: A Longitudinal Study

  Yury Puzis, Yevgen Borodin, I.V. Ramakrishnan · 2014 · Proceedings of the 11th Web for All Conference (W4A)

  This paper presents a six-week longitudinal pilot study of Automation Assistant, a predictive web automation system designed to improve non-visual web browsing for blind users. The core problem is that screen readers force users to navigate web pages sequentially — a…

  screen readers · web automation · blindness · non-visual web access · adaptive interfaces

• Identifying Sign Language Videos in Video Sharing Sites

  Frank M. Shipman, Ricardo Gutierrez-Osuna, Caio D. D. Monteiro · 2014 · ACM Transactions on Accessible Computing

  This paper addresses the challenge of finding sign language videos within general video sharing platforms like YouTube. While these platforms contain growing libraries of sign language content created by deaf community members, locating this content is difficult because…

  sign language · ASL · video classification · machine learning · computer vision

• Automatically Identifying Trouble-Indicating Speech Behaviors in Alzheimer's Disease

  Frank Rudzicz, Leila Chan Currie, Andrew Danks, Tejas Mehta, Shunan Zhao · 2014 · ASSETS '14: Proceedings of the 16th International ACM SIGACCESS Conference on Computers & Accessibility

  This paper addresses the challenge of automatically detecting communication breakdowns in conversations with people who have Alzheimer's disease (AD). AD is a progressive neurodegenerative disease that deteriorates memory, executive capacity, visual-spatial reasoning, and…

  Alzheimer's disease · dementia · speech recognition · natural language processing · machine learning

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