Phrase sets for evaluating text entry techniques
CHI '03 Extended Abstracts on Human Factors in Computing Systems
An error model for pointing based on Fitts' law
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Predicting the cost of error correction in character-based text entry technologies
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Quasi-qwerty soft keyboard optimization
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
RIM: risk interaction model for vehicle navigation
Proceedings of the 10th asia pacific conference on Computer human interaction
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On-screen keyboards are becoming ubiquitous with increasing use in mobile devices and touch-screens. In this work, we present a novel predictive error model which relates accuracy of an on-screen keyboard user to a given layout using the distance between keys. The model is developed from empirical data with the aim to predict the error rate of a user from the layout specification alone. Our proposed model can be combined with the existing quantitative design approaches for designing keyboards having high text-entry speed and accuracy.