Shorthand writing on stylus keyboard
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Presence: Teleoperators and Virtual Environments - Special issue: IEEE VR 2003
SHARK2: a large vocabulary shorthand writing system for pen-based computers
Proceedings of the 17th annual ACM symposium on User interface software and technology
Relaxing stylus typing precision by geometric pattern matching
Proceedings of the 10th international conference on Intelligent user interfaces
Learning shape writing by game playing
CHI '07 Extended Abstracts on Human Factors in Computing Systems
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Fitts' law, Steering law and Law of crossing, collectively known as the laws of action, model the speed-accuracy trade-offs in common hci tasks. These laws impose a certain speed ceiling on precise actions in a user interface. My hypothesis is that for some interfaces, the constraints of these laws can be relaxed by using context information of the task. To support this thesis, I present two systems I have developed for pen-based text input on stylus keyboards. These systems break either Fitts' law or the Law of crossing by taking advantage of high-resolution information from the pen, and the fact that words can be seen as patterns traced on the keyboard. Using these systems users can potentially gain higher text entry speed than on a regular stylus keyboard that is limited by the laws of action. I conclude by discussing planned future research, primarily improved visual feedback and empirical evaluation.