智能手机上的短语手势输入

Zheer Xu, Yankang Meng, Xiaojun Bi, Xing-Dong Yang
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引用次数: 0

摘要

我们研究了短语手势输入,这是一种手势输入方法,允许用户通过使用单个连续的手势滑动短语中单词的所有字母来键入短语。与需要逐字输入文本的单词-手势输入不同,短语-手势输入是逐句输入文本。为了演示短语手势输入的可用性,我们实现了一个名为PhraseSwipe的原型。我们的系统由一个前端接口和一个后端短语级手势解码器组成,前者是专门为通过短语输入而设计的,后者是基于基于转换器的神经语言模型开发的。我们的解码器使用从Yelp评论数据集中随机选择的500万个不同长度的短语(最多五个单词)进行训练。通过对12名参与者的用户研究,我们证明参与者可以使用PhraseSwipe以平均34.5 WPM的速度打字,错误率为1.1%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Phrase-Gesture Typing on Smartphones
We study phrase-gesture typing, a gesture typing method that allows users to type short phrases by swiping through all the letters of the words in a phrase using a single, continuous gesture. Unlike word-gesture typing, where text needs to be entered word by word, phrase-gesture typing enters text phrase by phrase. To demonstrate the usability of phrase-gesture typing, we implemented a prototype called PhraseSwipe. Our system is composed of a frontend interface designed specifically for typing through phrases and a backend phrase-level gesture decoder developed based on a transformer-based neural language model. Our decoder was trained using five million phrases of varying lengths of up to five words, chosen randomly from the Yelp Review Dataset. Through a user study with 12 participants, we demonstrate that participants could type using PhraseSwipe at an average speed of 34.5 WPM with a Word Error Rate of 1.1%.
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