An efficient text input method for pen-based computers
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Two simple prediction algorithms to facilitate text production
ANLC '88 Proceedings of the second conference on Applied natural language processing
Semantic knowledge in word completion
Proceedings of the 7th international ACM SIGACCESS conference on Computers and accessibility
Indirect text entry using one or two keys
Proceedings of the 8th international ACM SIGACCESS conference on Computers and accessibility
User Interaction with Word Prediction: The Effects of Prediction Quality
ACM Transactions on Accessible Computing (TACCESS)
Using Pictographic Representation, Syntactic Information and Gestures in Text Entry
Proceedings of the 13th International Conference on Human-Computer Interaction. Part II: Novel Interaction Methods and Techniques
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Entering text using small devices has always been a serious problem for motor or visually impaired users. Except for their problem of word ambiguity, dictionary based predictive disambiguation (DBPD) text entry methods, such as T9", have been proved to be very efficient in terms of the number of required keystrokes. Thus, they are suitable for users with physical difficulties. Common DBPD methods only use word frequency to resolve such cases when ambiguous keystroke sequences are encountered. This paper proposes a new method, which also utilizes the semantic and syntactical contexts in the preceding texts to help disambiguate the user desired words, therefore further reduce the number of keystrokes needed from physically challenged users.