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ASSETS
2006
ACM

From letters to words: efficient stroke-based word completion for trackball text entry

13 years 9 months ago
From letters to words: efficient stroke-based word completion for trackball text entry
We present a major extension to our previous work on Trackball EdgeWrite—a unistroke text entry method for trackballs—by taking it from a character-level technique to a word-level one. Our design is called stroke-based word completion, and it enables efficient word selection as part of the stroke-making process. Unlike most word completion designs, which require users to select words from a list, our technique allows users to select words by performing a fluid crossing gesture. Our theoretical model shows this word-level design to be 45.0% faster than our prior model for character-only strokes. A study with a subject with spinal cord injury comparing Trackball EdgeWrite to the onscreen keyboard WiViK, both using word prediction and completion, shows that Trackball EdgeWrite is competitive with
Jacob O. Wobbrock, Brad A. Myers
Added 13 Jun 2010
Updated 13 Jun 2010
Type Conference
Year 2006
Where ASSETS
Authors Jacob O. Wobbrock, Brad A. Myers
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