滑板:一种用于超小型界面的文本输入技术,支持新手到专家的转换

Xiang 'Anthony' Chen, Tovi Grossman, G. Fitzmaurice
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引用次数: 122

摘要

近年来,智能手表等超小型智能设备越来越受欢迎。这些设备大多依赖于触摸作为主要的输入方式,这使得诸如文本输入之类的任务随着设备的不断缩小而变得越来越困难。在唯一追求输入速度的情况下,最终的解决方案是一种速记技术(如莫尔斯电码),它将输入的标记(如按键、敲击、滑动)序列成每个字符的唯一表示。然而,学习这些技巧是困难的,因为它往往依赖于死记硬背。我们的技术,Swipeboard,利用我们对QWERTY键盘的空间记忆来学习,并最终掌握一种为超小型界面设计的速记,不需要眼睛的文本输入方法。两下就可以输入字符;第一次滑动指定字符所在的区域,第二次滑动指定该区域内的字符。我们的研究表明,经过不到两个小时的训练,在减少的单词集上进行测试,Swipeboard用户每分钟可以达到19.58个单词(WPM),比现有的基线技术快15%。
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Swipeboard: a text entry technique for ultra-small interfaces that supports novice to expert transitions
Ultra-small smart devices, such as smart watches, have become increasingly popular in recent years. Most of these devices rely on touch as the primary input modality, which makes tasks such as text entry increasingly difficult as the devices continue to shrink. In the sole pursuit of entry speed, the ultimate solution is a shorthand technique (e.g., Morse code) that sequences tokens of input (e.g., key, tap, swipe) into unique representations of each character. However, learning such techniques is hard, as it often resorts to rote memory. Our technique, Swipeboard, leverages our spatial memory of a QWERTY keyboard to learn, and eventually master a shorthand, eyes-free text entry method designed for ultra-small interfaces. Characters are entered with two swipes; the first swipe specifies the region where the character is located, and the second swipe specifies the character within that region. Our study showed that with less than two hours' training, Tested on a reduced word set, Swipeboard users achieved 19.58 words per minute (WPM), 15% faster than an existing baseline technique.
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