INTERCHI '93 Proceedings of the INTERCHI '93 conference on Human factors in computing systems
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
LetterWise: prefix-based disambiguation for mobile text input
Proceedings of the 14th annual ACM symposium on User interface software and technology
Mobile text entry using three keys
Proceedings of the second Nordic conference on Human-computer interaction
Bringing text input beyond the desktop
CHI '00 Extended Abstracts on Human Factors in Computing Systems
Metrics for text entry research: an evaluation of MSD and KSPC, and a new unified error metric
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
POBox: An Efficient Text Input Method for Handheld and Ubiquitous Computers
HUC '99 Proceedings of the 1st international symposium on Handheld and Ubiquitous Computing
Phrase sets for evaluating text entry techniques
CHI '03 Extended Abstracts on Human Factors in Computing Systems
Mobile devices: soft keyboard text-entry enhanced by Visual Cues
UbiMob '04 Proceedings of the 1st French-speaking conference on Mobility and ubiquity computing
Using visual cues to help text entry on PDAs
IHM 2003 Proceedings of the 15th French-speaking conference on human-computer interaction on 15eme Conference Francophone sur l'Interaction Homme-Machine
État de l'art des méthodes de saisie de données sur dispositifs nomades: typologie des approches
IHM 2004 Proceedings of the 16th conference on Association Francophone d'Interaction Homme-Machine
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
Sibylle, An Assistive Communication System Adapting to the Context and Its User
ACM Transactions on Accessible Computing (TACCESS)
TapList: testing the effectiveness of tap access to the n-best list in pen-based text entry
Mobility '09 Proceedings of the 6th International Conference on Mobile Technology, Application & Systems
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Nowadays, linguistics and language processing represent an important part of the text entry domain. Prediction and/or automatic correction systems are often included in mobile devices with text entry capabilities. However, in gesture based text entry, few such systems are known. We propose UniWise, a system which combines Unistrokes, a gesture alphabet, and LetterWise, a disambiguation system. Our purpose was to study the fusion of the results from the gesture recognizer and results of the prediction system. Our system was tested with several fusion functions. The best function showed a theorical improvement of the recognition error rate of 17,23%. An experiment was conducted to measure the impact on user performance. The result was an improvement of 17,26% in the recognition error rate in the three last sessions and an improvement of 1,04 for the position of the correct character in the recognition result list. According to user feedback, the LetterWise component was transparent to the users.