Extending Fitts' law to two-dimensional tasks
CHI '92 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Predicting text entry speed on mobile phones
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
The Psychology of Human-Computer Interaction
The Psychology of Human-Computer Interaction
KSPC (Keystrokes per Character) as a Characteristic of Text Entry Techniques
Mobile HCI '02 Proceedings of the 4th International Symposium on Mobile Human-Computer Interaction
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Predicting task execution time on handheld devices using the keystroke-level model
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Evaluating mobile text entry strategies with finite state automata
Proceedings of the 7th international conference on Human computer interaction with mobile devices & services
Keystroke-level model for advanced mobile phone interaction
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Using paper mockups for evaluating soft keyboard layouts
CASCON '07 Proceedings of the 2007 conference of the center for advanced studies on Collaborative research
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The pervasive use of ambiguous keypads for mobile text entry necessitates examination of their performance characteristics. This paper presents TnToolkit--a self contained tool to calculate performance measurements for ambiguous keypads. While TnToolkit's focus is ambiguous keypads, it also works with QWERTY and on screen keypads. By default, TnToolkit predicts words per minute performance based on a traditional Fitts' law model, and calculates KSPC, the average keystrokes required to enter each character of text. Existing modules are extensible to implement custom metrics. An experiment reveals that using TnToolkit to gather performance metrics is 69% faster than existing techniques, without compromising accuracy.