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