Quikwriting: continuous stylus-based text entry
Proceedings of the 11th annual ACM symposium on User interface software and technology
The design and evaluation of a high-performance soft keyboard
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
A Method of Key Input with Two Mice
ISWC '01 Proceedings of the 5th IEEE International Symposium on Wearable Computers
TNT: a numeric keypad based text input method
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Writing with a joystick: a comparison of date stamp, selection keyboard, and EdgeWrite
GI '04 Proceedings of the 2004 Graphics Interface Conference
Japanese text input system with digits
HLT '01 Proceedings of the first international conference on Human language technology research
Text entry using a dual joystick game controller
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Bimanual text entry using game controllers: Relying on users' spatial familiarity with QWERTY
Interacting with Computers
TwoStick: writing with a game controller
GI '07 Proceedings of Graphics Interface 2007
An approach based on multiple text input modes for interactive digital TV applications
Proceedings of the 28th ACM International Conference on Design of Communication
The impact of candidate display styles for Japanese and Chinese characters on input efficiency
International Journal of Human-Computer Studies
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In this paper, we report the design and evaluation of a Japanese text input method called IToNe. It uses a dual joystick game controller to input Japanese text. The left and right joysticks are respectively assigned to the left and right halves of the Japanese syllabary chart. The combination of left and right joystick signals selects a character. IToNe is theoretically faster than the Japanese selection chart. Results of a preliminary user study show that users prefer IToNe to EGCONVERT: its smoothness during operation and accuracy measures are significantly higher. In addition, the learning curve of IToNe suggests that it can be learned easily and that it potentially provides higher performance.