2016/11/24 by Byungjoo Lee, Mathieu Nancel, Lee, Byungjoo +5 · 3 citations
Computer Science · Neuroscience · #FOS: Computer and information sciences #Gaze Tracking and Assistive Technology #H.5.m #Human-Computer Interaction (cs.HC) #Interactive and Immersive Displays #Tactile and Sensory Interactions
paper · doi:10.48550/arxiv.1611.08154
openalex publication_date 2016/11/24 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
A well-designed control-to-display gain function can improve pointing performance with indirect pointing devices like trackpads. However, the design of gain functions is challenging and mostly based on trial and error. AutoGain is a novel method to individualize a gain function for indirect pointing devices in contexts where cursor trajectories can be tracked. It gradually improves pointing efficiency by using a novel submovement-level tracking+optimization technique that minimizes aiming error (undershooting/overshooting) for each submovement. We first show that AutoGain can produce, from scratch, gain functions with performance comparable to commercial designs, in less than a half-hour of active use. Second, we demonstrate AutoGain's applicability to emerging input devices (here, a Leap Motion controller) with no reference gain functions. Third, a one-month longitudinal study of normal computer use with AutoGain showed performance improvements from participants' default functions.