CHI '93 Proceedings of the INTERACT '93 and CHI '93 Conference on Human Factors in Computing Systems
Predicting text entry speed on mobile phones
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Measuring errors in text entry tasks: an application of the Levenshtein string distance statistic
CHI '01 Extended Abstracts on Human Factors in Computing Systems
Phrase sets for evaluating text entry techniques
CHI '03 Extended Abstracts on Human Factors in Computing Systems
Relaxing stylus typing precision by geometric pattern matching
Proceedings of the 10th international conference on Intelligent user interfaces
Automatic whiteout++: correcting mini-QWERTY typing errors using keypress timing
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
The 1line keyboard: a QWERTY layout in a single line
Proceedings of the 24th annual ACM symposium on User interface software and technology
DigiTaps: eyes-free number entry on touchscreens with minimal audio feedback
Proceedings of the 26th annual ACM symposium on User interface software and technology
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We developed a text entry method for touchscreen devices using a Graffiti-like alphabet combined with automatic error correction. The method is novel in that the user does not receive the results of the recognition process, except at the end of a phrase. The method is justified over soft keyboards in terms of a Frame Model of Visual Attention, which reveals both the presence and advantage of reduced visual attention. With less on-going feedback to monitor, there is a tendency for the user to enter gestures more quickly. Preliminary testing reveals reasonably quick text entry speeds (20 wpm) with low errors rates (