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AutoGain: Gain Function Adaptation with Submovement Efficiency Optimization
arXiv - CS - Human-Computer Interaction Pub Date : 2016-11-24 , DOI: arxiv-1611.08154
Byungjoo Lee, Mathieu Nancel, Sunjun Kim, Antti Oulasvirta

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.

中文翻译:

AutoGain:具有子运动效率优化的增益函数自适应

精心设计的控制到显示增益功能可以提高触控板等间接定点设备的定点性能。然而,增益函数的设计具有挑战性,并且主要基于反复试验。AutoGain 是一种新颖的方法,用于在可以跟踪光标轨迹的上下文中为间接指向设备个性化增益函数。它通过使用一种新颖的子运动级跟踪+优化技术来逐步提高指向效率,该技术可最大限度地减少每个子运动的瞄准误差(下冲/过冲)。我们首先表明 AutoGain 可以在不到半小时的主动使用中从头开始生成性能与商业设计相当的增益函数。其次,我们展示了 AutoGain 对没有参考增益函数的新兴输入设备(这里是 Leap Motion 控制器)的适用性。
更新日期:2020-01-13
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