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• Understanding Design Considerations for Adaptive User Interfaces for Accessible Pointing with Older and Younger Adults

  Aqueasha Martin-Hammond, Abdullah Ali, Catherine Hornback, Amy K. Hurst · 2015 · Proceedings of the 12th International Web for All Conference (W4A)

  This paper explores user preferences for adaptive user interfaces (AUIs) that detect and accommodate pointing difficulties when using a mouse, touchpad, or touchscreen to interact with the web. The researchers conducted participatory design sessions with 38 participants — 8…

  adaptive user interfaces · pointing performance · motor accessibility · older adults · aging

• Enhancing Android Accessibility for Users with Hand Tremor by Reducing Fine Pointing and Steady Tapping

  Yu Zhong, Astrid Weber, Casey Burkhardt, Phil Weaver, Jeffrey P. Bigham · 2015 · Proceedings of the 12th International Web for All Conference (W4A)

  This paper introduces Touch Guard, a system-wide Android accessibility service developed as a Google intern research project that helps users with hand tremor interact more accurately with touchscreen devices. The core problem addressed is that conventional touchscreen…

  mobile accessibility · touchscreen accessibility · hand tremor · motor impairment · Android

• Understanding Design Considerations for Adaptive User Interfaces for Accessible Pointing with Older and Younger Adults

  Aqueasha Martin-Hammond, Abdullah Ali, Catherine Hornback, Amy K. Hurst · 2015 · Proceedings of the 12th International Web for All Conference (W4A)

  This paper investigates how older and younger adults want adaptive user interfaces (AUIs) to detect and respond to pointing difficulties when using computers. Pointing problems — such as misclicks, erratic cursor movements, and difficulty with target acquisition — affect people…

  adaptive user interfaces · pointing performance · older adults · participatory design · motor impairment

• Distinguishing Users By Pointing Performance in Laboratory and Real-World Tasks

  Amy Hurst, Scott E. Hudson, Jennifer Mankoff, Shari Trewin · 2013 · ACM Transactions on Accessible Computing

  This paper investigates how machine learning can automatically assess pointing difficulties from everyday computer use, addressing a critical barrier to accessible computing: the lack of frequent, low-cost assessment of pointing ability. The researchers collected and analyzed…

  pointing performance · motor impairments · machine learning · adaptive interfaces · mouse interaction

4 results.