| Previous | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 |
¡@
Frode Eika Sandnes and Yo-Ping Huang*
Department of Computer Science
Oslo University College
0130 Oslo, Norway
*Department of Computer Science and Engineering
Tatung University
Taipei, 104 Taiwan
Chording is a technique that allows users to enter text without visual feedback. Traditional
chording strategies are hampered by the substantial training effort required as
users need to memorize chords. In this study an alternative chording scheme that uses
spatial mnemonics to accelerate learning is proposed. Users mentally visualize the appearance
of each character as a 3 x 3 pixel grid. The grid is input as a sequence of three
chords. However, a problem with this approach is that the error probability accumulates
across the three chords and the total error rate is therefore higher than for traditional
chording. This study addresses to what degree these errors can be automatically corrected.
Unlike traditional text correction approaches that operate with characters as the
atomic unit, the redundancy available in the chords is used to improve the error correction.
Experimental evaluations show that the strategy is capable of correcting 18.5% of
all individual character construction errors. Next, the strategy is capable of correcting
approximately twice as many word-level errors as MSWord, namely 69.5% of all substitution
errors and 33.3% of all insertion errors. The strategy has at least two target audiences:
users who need to devote their visual attention to other tasks and blind and visually
impaired users who are unable to use visual intensive text entry techniques.
Received August 16, 2005; accepted January 17, 2006.
Communicated by Jhing-Fa Wang, Pau-Choo Chung and Mark Billinghurst.