Human-computer interaction
Tactons: structured tactile messages for non-visual information display
AUIC '04 Proceedings of the fifth conference on Australasian user interface - Volume 28
Multimodal presentation method for a dance training system
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Investigating the effectiveness of tactile feedback for mobile touchscreens
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Eyes-free text entry with error correction on touchscreen mobile devices
Proceedings of the 6th Nordic Conference on Human-Computer Interaction: Extending Boundaries
MudPad: tactile feedback and haptic texture overlay for touch surfaces
ACM International Conference on Interactive Tabletops and Surfaces
Rendering physical effects in tabletop controls
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
MudPad: tactile feedback for touch surfaces
CHI '11 Extended Abstracts on Human Factors in Computing Systems
Métamorphe: augmenting hotkey usage with actuated keys
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Pseudo-pressure detection and its use in predictive text entry on touchscreens
Proceedings of the 25th Australian Computer-Human Interaction Conference: Augmentation, Application, Innovation, Collaboration
Evaluation of a new error prevention technique for mobile touchscreen text entry
Proceedings of the 25th Australian Computer-Human Interaction Conference: Augmentation, Application, Innovation, Collaboration
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TypeRight is a new tactile input device for text entry. It combines the advantages of tactile feedback with error prevention methods of word processors. TypeRight extends the standard keyboard so that the resistance to press each key becomes dynamically adjustable through software. Before each keystroke, the resistance of keys that would lead to a typing error according to dictionary and grammar rules is increased momentarily to make them harder to press, thus avoiding typing errors rather than indicating them after the fact. Two user studies showed that TypeRight decreases error correction rates by an average of 46%.