Human-computer interface design guidelines
Human-computer interface design guidelines
INTERCHI '93 Proceedings of the INTERCHI '93 conference on Human factors in computing systems
LetterWise: prefix-based disambiguation for mobile text input
Proceedings of the 14th annual ACM symposium on User interface software and technology
Shorthand writing on stylus keyboard
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Phrase sets for evaluating text entry techniques
CHI '03 Extended Abstracts on Human Factors in Computing Systems
Unipad: single stroke text entry with language-based acceleration
Proceedings of the 4th Nordic conference on Human-computer interaction: changing roles
Graffiti vs. unistrokes: an empirical comparison
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
UniWise: LetterWise pour Unistroke, la prédiction de texte pour améliorer la reconnaissance de geste
Conference Internationale Francophone sur I'Interaction Homme-Machine
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Handwriting recognition is always error prone. Therefore, recognition error management is an important part of any user interface that attempts to interpret user's pen strokes. We experimented with a technique called TapList where a stylus tap is used to switch the newly recognized character to the next item on an invisible n-best list returned by a character recognizer. The purpose of our experimentation was to verify that it does not hurt text entry performance even under tight time constraints. We did not see significant performance degradation due to TapList in comparison to conventional backspace-based error correction technique. Thus, TapList is likely to improve text entry performance if the cost of re-entry of misrecognized text is higher than it was with the fast unistroke alphabet used in our experiments. Further work is needed to compare TapList to a visible n-best list and to other alternative techniques.