Conference on Human Factors in Computing Systems - Proceedings
Doi
Abstract
We present VelociTap: a state-of-the-art touchscreen keyboard
decoder that supports a sentence-based text entry approach.
VelociTap enables users to seamlessly choose from
three word-delimiter actions: pushing a space key, swiping
to the right, or simply omitting the space key and letting the
decoder infer spaces automatically. We demonstrate that VelociTap
has a significantly lower error rate than Google’s keyboard
while retaining the same entry rate. We show that intermediate
visual feedback does not significantly affect entry
or error rates and we find that using the space key results
in the most accurate results. We also demonstrate that enabling
flexible word-delimiter options does not incur an error
rate penalty. Finally, we investigate how small we can make
the keyboard when using VelociTap. We show that novice
users can reach a mean entry rate of 41 wpm on a 40mm wide
smartwatch-sized keyboard at a 3% character error rate.This is the accepted manuscript. The final version is available from ACM at http://dl.acm.org/citation.cfm?id=2702135