Optimizing a personalized cellphone keypad

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Abstract

Current layouts for alphabetic input on mobile phone keypads are inefficient. We propose a genetic algorithm (GA) to find a suitable keypad layout for each user, based on their personal text history. It incorporates codes for frequent multigrams. We optimize for two-thumb use, minimizing the number of strokes, and consecutive use of the same key or the same hand. Using these criteria, the algorithm re-arranges the characters on a 10-key pad. We demonstrate that this arrangement can generate a more effective layout, especially for SMS-style messages. Substantial savings are verified by computational analysis. © 2011 Springer-Verlag.

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APA

Lee, J., & McKay, B. (2011). Optimizing a personalized cellphone keypad. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6935 LNCS, pp. 237–244). https://doi.org/10.1007/978-3-642-24082-9_29

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