Five Challenges for Intelligent Text Entry Methods
Five Challenges for Intelligent Text Entry Methods
复制标题
智能文本输入方法的五个挑战
DOI：
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
P. Kristensson
中科院分区：
文献类型：
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作者：
P. Kristensson
要使文本输入方法有用，它们必须提供高输入率和低错误率。同时，它们需要易于学习，并提供有效的纠正错误的手段。智能文本输入方法将人工智能技术与人机交互理论相结合，使用户能够尽可能高效、轻松地输入文本。在这里，我从研究文献中选取了一些这样的技术，并将它们置于它们的历史背景中。然后，我强调了希望在我们的社会中产生影响的文本输入方法面临的五个挑战：本地化、错误纠正、编辑器支持、反馈和使用背景。
For text entry methods to be useful they have to deliver high entry rates and low error rates. At the same time they need to be easy-to-learn and provide effective means of correcting mistakes. Intelligent text entry methods combine AI techniques with HCI theory to enable users to enter text as efficiently and effortlessly as possible. Here I sample a selection of such techniques from the research literature and set them into their historical context. I then highlight five challenges for text entry methods that aspire to make an impact in our society: localization, error correction, editor support, feedback, and context of use.