the design and evaluation of a high-performance soft keyboard
The design and evaluation of a high performance soft keyboard for mobile systems are described. Using a model to predict the upper-bound text entry rate for soft keyboards, we designed a keyboard layout with a predicted upper-bound entry rate of 58.2 wpm. This is about 35\% faster than the predicted rate for a QWERTY layout. We compared our design (OPTI) with a QWERTY layout in a longitudinal evaluation using five participants and 20 45-minute sessions of text entry. Average entry rates for OPT1 increased from 17.0 wpm initially to 44.3 wpm at session 20. The average rates exceeded those for the QWERTY layout after the 10 session (about 4 hours of practice). A regression equation (R = .997) in the form of the power-law of learning predicts that our upper-bound prediction would be reach at about session 50.
design evaluation high-performance soft keyboards mobile systems model predict text entry layout participant practical regression learning pen input power law linguistic models digraph probabilities fitts' law stylus input