Predicting text entry speed on mobile phones
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
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
Phrase sets for evaluating text entry techniques
CHI '03 Extended Abstracts on Human Factors in Computing Systems
Designing human-computer interfaces for quadriplegic people
ACM Transactions on Computer-Human Interaction (TOCHI)
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A method and algorithm for modeling single-switch scanning for text input is presented. The algorithm uses the layout of a scanning keyboard and a corpus in the form of a word-frequency list to generate codes representing the scan steps for entering words. Scan steps per character (SPC) is computed as a weighted average over the entire corpus. SPC is an absolute measure, thus facilitating comparisons of keyboards. It is revealed that SPC is sensitive to the corpus if a keyboard includes word prediction. A recommendation for other research using SPC is to disclose both the algorithm and the corpus.