PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Five challenges for intelligent text entry methods
Per Ola Kristensson
AI Magazine Volume 30, Number 4, pp. 85-94, 2009.

Abstract

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.

EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:User Modelling for Computer Human Interaction
Natural Language Processing
Speech
ID Code:5586
Deposited By:Per Ola Kristensson
Deposited On:08 March 2010