Differences in movement microstructure of the mouse and the finger-controlled isometric joystick
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A conversation with Ted Selker
interactions
Metrics for text entry research: an evaluation of MSD and KSPC, and a new unified error metric
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Phrase sets for evaluating text entry techniques
CHI '03 Extended Abstracts on Human Factors in Computing Systems
An isometric joystick as a pointing device for handheld information terminals
GRIN'01 No description on Graphics interface 2001
EdgeWrite: a stylus-based text entry method designed for high accuracy and stability of motion
Proceedings of the 16th annual ACM symposium on User interface software and technology
A comparison of consecutive and concurrent input text entry techniques for mobile phones
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Trackball text entry for people with motor impairments
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
UIST '06 Proceedings of the 19th annual ACM symposium on User interface software and technology
From letters to words: efficient stroke-based word completion for trackball text entry
Proceedings of the 8th international ACM SIGACCESS conference on Computers and accessibility
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Using shear as a supplemental two-dimensional input channel for rich touchscreen interaction
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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We are investigating a new gestural text entry method for mobile phones that uses an isometric joystick and therefore consumes very little physical space. We have created a high-fidelity mobile phone prototype with two embedded isometric joysticks, one on the front for use with the thumb, and another on the back for use with the index finger. The joysticks can be used to enter text using a special version of the EdgeWrite text entry method. In our proposed studies, we would like to investigate the performance of using the joysticks as text input devices in stationary and mobile situations. With our prototype, the authors were able to write at ~12 wpm with the front joystick, and ~7 wpm with the back joystick. These numbers are sure to improve as further refinements are made.