The design and evaluation of a high-performance soft keyboard
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Proceedings of the 8th international conference on Intelligent user interfaces
FASTY - A Multi-lingual Approach to Text Prediction
ICCHP '02 Proceedings of the 8th International Conference on Computers Helping People with Special Needs
Matching Typing Persons and Intelligent Interfaces - Introduction to the Special Thematic Session
ICCHP '02 Proceedings of the 8th International Conference on Computers Helping People with Special Needs
Mobile devices: soft keyboard text-entry enhanced by Visual Cues
UbiMob '04 Proceedings of the 1st French-speaking conference on Mobility and ubiquity computing
VirHKey: un clavier gestuel hyperbolique avec retour visuel
IHM 2005 Proceedings of the 17th international conference on Francophone sur l'Interaction Homme-Machine
Off-line handwriting recognition system based on GA and visual encoding
Proceedings of the International Workshop on Multilingual OCR
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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Text input enhancement is well suited as soon as degraded conditions are encountered, whether due to handicap or use while moving. We propose a novel text input assistance, based on the AZERTY soft keyboard, whose keys are selected one by one thanks to a pointing device. The keys likely to be selected are predicted and contrasted in order to help users visually. We postulate that this kind of help facilitates and accelerates input for novice users under degraded conditions. We have computed the theoretical reduction in time, thanks to the Hick-Hyman law: the theoretical gain, for a novice, is 50%). We plan to further improve help robustness and to carry out empirical validations of the prototype.