Conference on Human Factors in Computing Systems - Proceedings
Doi
Abstract
Nonspeaking individuals with motor disabilities typically have
very low communication rates. This paper proposes a design
engineering approach for quantitatively exploring contextaware
sentence retrieval as a promising complementary input
interface, working in tandem with a word-prediction keyboard.
We motivate the need for complementary design engineering
methodology in the design of augmentative and alternative
communication and explain how such methods can be used to
gain additional design insights. We then study the theoretical
performance envelopes of a context-aware sentence retrieval
system, identifying potential keystroke savings as a function of
the parameters of the subsystems, such as the accuracy of the
underlying auto-complete word prediction algorithm and the
accuracy of sensed context information under varying assumptions.
We find that context-aware sentence retrieval has the
potential to provide users with considerable improvements in
keystroke savings under reasonable parameter assumptions of
the underlying subsystems. This highlights how complementary
design engineering methods can reveal additional insights
into design for augmentative and alternative communication