零延迟敲击:使用悬停信息来预测触摸位置,消除触地延迟

Haijun Xia, Ricardo Jota, Benjamin McCanny, Zhe Yu, C. Forlines, Karan Singh, Daniel J. Wigdor
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引用次数: 35

摘要

提出了一种减少触摸输入感知延迟的方法,该方法采用模型来预测手指到达触摸表面之前的触摸事件。收集三维手指运动数据的语料库,并用于开发一个能够在不同运动阶段(初始方向,最终触摸位置,触地时间)的三粒度模型。该模型在目标距离>= 25.5cm的情况下进行了验证,并证明了在用户触摸屏幕之前的平均精度为1.05cm 128ms。对不同潜伏期的偏好研究表明,人们对未察觉的潜伏期触地反馈有强烈的偏好。提出了一种“软”反馈形式,以及这种预测的其他用途,以提高性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Zero-latency tapping: using hover information to predict touch locations and eliminate touchdown latency
A method of reducing the perceived latency of touch input by employing a model to predict touch events before the finger reaches the touch surface is proposed. A corpus of 3D finger movement data was collected, and used to develop a model capable of three granularities at different phases of movement: initial direction, final touch location, time of touchdown. The model is validated for target distances >= 25.5cm, and demonstrated to have a mean accuracy of 1.05cm 128ms before the user touches the screen. Preference study of different levels of latency reveals a strong preference for unperceived latency touchdown feedback. A form of 'soft' feedback, as well as other uses for this prediction to improve performance, is proposed.
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