The design and evaluation of a high-performance soft keyboard
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Model for unistroke writing time
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The Psychology of Human-Computer Interaction
The Psychology of Human-Computer Interaction
Model for non-expert text entry speed on 12-button phone keypads
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Text Entry Systems: Mobility, Accessibility, Universality
Text Entry Systems: Mobility, Accessibility, Universality
Multiple mouse text entry for single-display groupware
Proceedings of the 2010 ACM conference on Computer supported cooperative work
Predicting Chinese text entry speeds on mobile phones
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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We combine the power law of learning and theoretical upper limit predictions to describe the development of text entry rates from users' first contact to asymptotic expert usage. The combined model makes comparing text entry methods easier. We present the rationale for the model and two candidate implementations. The first is a simple regression model with a reasonable fit to the data. The second fits measured data better, but is more complicated.