The keystroke-level model for user performance time with interactive systems
Communications of the ACM
How to operate a PC without using the hands
Proceedings of the 7th international ACM SIGACCESS conference on Computers and accessibility
Indirect text entry using one or two keys
Proceedings of the 8th international ACM SIGACCESS conference on Computers and accessibility
ECSCW'01 Proceedings of the seventh conference on European Conference on Computer Supported Cooperative Work
The one-key challenge: searching for a fast one-key text entry method
Proceedings of the 11th international ACM SIGACCESS conference on Computers and accessibility
Divergence measures based on the Shannon entropy
IEEE Transactions on Information Theory
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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.