AugKey: Increasing Foveal Throughput in Eye Typing with Augmented Keys
Health Support
/
Diaz-Tula, Antonio
/
Morimoto, Carlos H.
Proceedings of the ACM CHI'16 Conference on Human Factors in Computing
Systems
2016-05-07
v.1
p.3533-3544
© Copyright 2016 ACM
Summary: Eye-typing is an important tool for people with physical disabilities and,
for some, it is their main form of communication. By observing expert typists
using physical keyboards, we notice that visual throughput is considerably
reduced in current eye-typing solutions. We propose AugKey to improve
throughput by augmenting keys with a prefix, to allow continuous text
inspection, and suffixes to speed up typing with word prediction. AugKey limits
the visual information to the foveal region to minimize eye movements (i.e.,
reduce eye work). We have applied AugKey to a dwell-time keyboard and compared
its performance with two conditions with no augmented feedback: a keyboard with
and one without word prediction. Results show that AugKey can be about 28%
faster than no word prediction and 20% faster than traditional word prediction,
with a smaller workload index.
