Text and context in mobile computing

移动计算中的文本和上下文

• 批准号: 121581-2008
• 负责人: MacKenzie, Scott
• 金额: $ 1.09万
• 依托单位: York University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2008
• 资助国家: 加拿大
• 起止时间: 2008-01-01 至 2009-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=391185
• 关键词: Text; context; mobile; computing

A program of research is proposed that will focus on "text and context in mobile computing". By "text", we refer simply to the issue of text entry. With over 1 billion SMS messages sent per day worldwide, the mobile phone keypad is today one of the dominant devices for text entry - this despite its poor capabilities for such. And so, a program of research in mobile text entry is extremely worthwhile. By "context", we refer to the many possible mechanisms to aide text entry through embedded knowledge of the language, user, or device. Word prediction, word completion, suffix completion, are some examples, but the general problem of interfacing with ambiguous keyboards (e.g., the mobile phone keyboard has either 3 or 4 letters per key) is of particular interest. As mobile devices shrink in size, there is increasing interest in supporting text entry with fewer keys than even a mobile phone contains. This presents an interesting combination of problems, intermixing issues of ambiguity resolution with an embedded language model. There is a tension between increasing keystrokes for ambiguity resolution (as the number of keys decreases) and decreasing keystrokes using predictive aides. This is fertile ground for research and it is the primary focus of the program of research proposed. Besides physical keyboards, soft keyboards or other interfaces that require input using a stylus or finger-touch are also considered. The PI also works extensively with computer pointing devices, models of interaction (e.g., using Fitts' law), and the measurement of human performance. These topics are also part of the proposed program of research.

提出了一个研究计划，将重点放在“移动计算中的文本和上下文”上。通过“文本”，我们简单地指文本输入问题。全球每天发送的短信超过10亿条，手机键盘如今是文本输入的主要设备之一——尽管它的功能很差。因此，一个研究移动文本输入的项目是非常值得的。通过“上下文”，我们指的是通过语言、用户或设备的嵌入式知识来辅助文本输入的许多可能的机制。单词预测、单词补全、后缀补全都是一些例子，但与歧义键盘（例如，移动电话键盘每个键有3或4个字母）的接口的一般问题是特别有趣的。随着移动设备尺寸的缩小，人们对支持用比移动电话更少的键输入文本越来越感兴趣。这提出了一个有趣的问题组合，将歧义解决问题与嵌入式语言模型混合在一起。增加用于解决歧义的按键数（随着按键数量的减少）和减少使用预测助手的按键数之间存在矛盾。这是研究的沃土，也是提出的研究计划的主要焦点。除了物理键盘，软键盘或其他需要使用触控笔或手指触摸输入的界面也被考虑在内。PI还广泛使用计算机指向设备、交互模型（例如，使用菲茨定律）和人类表现的测量。这些主题也是拟议研究计划的一部分。