Maximizing the guessability of symbolic input

@article{Wobbrock2005MaximizingTG,
  title={Maximizing the guessability of symbolic input},
  author={J. Wobbrock and H. Aung and Brandon Rothrock and B. Myers},
  journal={CHI '05 Extended Abstracts on Human Factors in Computing Systems},
  year={2005}
}
  • J. Wobbrock, H. Aung, +1 author B. Myers
  • Published 2005
  • Computer Science
  • CHI '05 Extended Abstracts on Human Factors in Computing Systems
Guessability is essential for symbolic input, in which users enter gestures or keywords to indicate characters or commands, or rely on labels or icons to access features. We present a unified approach to both maximizing and evaluating the guessability of symbolic input. This approach can be used by anyone wishing to design a symbol set with high guessability, or to evaluate the guessability of an existing symbol set. We also present formulae for quantifying guessability and agreement among… Expand
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