Cirrin: a word-level unistroke keyboard for pen input
Proceedings of the 11th annual ACM symposium on User interface software and technology
Dasher—a data entry interface using continuous gestures and language models
UIST '00 Proceedings of the 13th 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
Minimum Classification Error Training for Online Handwriting Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Human communication based on icons in crisis environments
UI-HCII'07 Proceedings of the 2nd international conference on Usability and internationalization
Environmental adaptation with a small data set of the target domain
TSD'06 Proceedings of the 9th international conference on Text, Speech and Dialogue
An adaptive circular (text) input for handheld devices
Proceedings of the 12th International Conference on Computer Systems and Technologies
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Our research is about an adaptive keyboard, which autonomously adjusts its predictive features and key displays to current user input. We used personalized word prediction to improve the performance of such a system. Prediction using common English dictionary (represented by the British National Corpus) is compared with prediction using personal data, such as personal documents, chat logs, and personal emails. A user study was also conducted to gather requirements for a new keyboard design. Based on these studies, we developed a personalized and adaptive on-screen keyboard for both single-handed and zero-handed users. It combines tapping-based and motion-based text input with language-based acceleration techniques, including personalized and adaptive task-based dictionary, frequent character prompting, word completion, and grammar checker with suffix completion.