Predicting text entry speed on mobile phones
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
LetterWise: prefix-based disambiguation for mobile text input
Proceedings of the 14th annual ACM symposium on User interface software and technology
Phrase sets for evaluating text entry techniques
CHI '03 Extended Abstracts on Human Factors in Computing Systems
TiltText: using tilt for text input to mobile phones
Proceedings of the 16th annual ACM symposium on User interface software and technology
PreSense: interaction techniques for finger sensing input devices
Proceedings of the 16th annual ACM symposium on User interface software and technology
Studying applications for touch-enabled mobile phone keypads
Proceedings of the 2nd international conference on Tangible and embedded interaction
PressureText: pressure input for mobile phone text entry
CHI '09 Extended Abstracts on Human Factors in Computing Systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
| Hi-index | 0.00 |
While MultiTap is one of the most popular text entry methods for mobile phones, it has a fundamental weakness known as MultiTap segmentation problem. Based on the observation that the thumb does not leave the keys between tapping actions, we designed a MultiTap segmentation method where the release action of the thumb is used to indicate input completion. A user study using a touch-sensing keypad prototype to explore the feasibility of the idea and a comparison test to access its benefit revealed promising results supporting the effectiveness of the proposed segmentation method.