2012 | OriginalPaper | Buchkapitel
Reverse-Engineering Scanning Keyboards
verfasst von : Foad Hamidi, Melanie Baljko
Erschienen in: Computers Helping People with Special Needs
Verlag: Springer Berlin Heidelberg
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Scanning
or
soft keyboards
are alternatives to physical computer keyboards that allow users with motor disabilities to compose text and control the computer using a small number of input actions. In this paper, we present the
reverse Huffman algorithm
(RHA)
,
a novel Information Theoretic method that extracts a
representative latent probability distribution
from a given scanning keyboard design. By calculating the
Jensen-Shannon Divergence
(JSD)between the extracted probability distribution and the probability distribution that represents the body of text that will be composed by the scanning keyboard, the efficiency of the design can be predicted and designs can be compared with each other. Thus, using RHS provides a novel
a priori
context-aware method for reverse-engineering scanning keyboards.