Maximizing the guessability of symbolic input

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 guesses. An example is offered in which the guessability of the EdgeWrite unistroke alphabet was improved by users

• Type: Conference
• Year: 2005
• Where: CHI
• Authors: Jacob O. Wobbrock, Htet Htet Aung, Brandon Rothrock, Brad A. Myers
• Keywords: CHI 2005, Human Computer Interaction, Symbol Set, Symbolic Input, Users Enter Gestures