基于循环扫描的虚拟键盘性能测量

A. Molina, Octavio Rivera, I. Gómez
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引用次数: 5

摘要

本文通过扫描技术对虚拟模糊键盘的不同拓扑结构进行了详尽的研究,分析了文本输入平均时间(tc)和每个字符的平均用户输入次数(UIc)。一个数学模型表明,与无歧义输入相比,在多点模式下的文本输入并没有提供更好的性能,因为它们中的tc和UIc都更大。另一种文本输入方法称为Tnk (n个键中的文本),相对于明确的键盘提供了改进。但只有高度模糊的键盘(4键键盘)显示tc和UIc的联合减少。用该模型得到的结果不能集中在高度模糊的键盘上。本文通过对大量文本的仿真,证明了在UIc参数下,使用TnK模式进行字符预测仅比使用无二义键盘进行字符预测具有更好的性能。本文还研究了另一种文本输入技术
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Measuring Performance of Virtual Keyboards Based on Cyclic Scanning
This paper presents an exhaustive study into the different topologies of virtual ambiguous keyboards that operate by scanning techniques, analyzing the text entry average time (tc) and the average number of user inputs (UIc) per character. An mathematical model shows that in comparison with unambiguous one, text entry, in multi-tap mode, doesn't offers better performance, because both tc and UIc are greater in them. Another method of text entry, called Tnk (Text in n keys), offers improvement with respect to unambiguous keyboards. But solely highly ambiguous key-board (4-keys keyboards) shows a jointly reduction in tc and UIc. Results obtained with the model do to focus on highly ambiguous keyboard. This paper demonstrate, using simulation with extensive text, that character prediction with TnK mode only have better performance than unambiguous keyboard with character prediction in UIc parameter. Another techniques of text entry are also studied
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