Asela Gunawardana, Tim Paek, and Christopher Meek
Soft keyboards offer touch-capable mobile and tabletop devices many advantages such as multiple language support and room for larger displays. On the other hand, because soft keyboards lack haptic feedback, users often produce more typing errors. In order to make soft keyboards more robust to noisy input, researchers have developed key-target resizing algorithms, where underlying target areas for keys are dynamically resized based on their probabilities. In this paper, we describe how overly aggressive key-target resizing can sometimes prevent users from typing their desired text, violating basic user expectations about keyboard functionality. We propose the anchored dynamic key-target method which incorporates usability principles so that soft keyboards can remain robust to errors while respecting usability principles. In an empirical evaluation, we found that anchored dynamic key-targets significantly reduce keystroke errors, improving over the state of the art.
|Published in||International Conference on Intelligent User Interfaces|
|Publisher||Association for Computing Machinery, Inc.|
Copyright © 2007 by the Association for Computing Machinery, Inc. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept, ACM Inc., fax +1 (212) 869-0481, or firstname.lastname@example.org. The definitive version of this paper can be found at ACM’s Digital Library --http://www.acm.org/dl/.
Gina D. Venolia, Joshua Goodman, Keith Steury, and Chauncey Parker. Language Modeling for Soft Keyboards, November 2001.
Joshua Goodman, Gina Venolia, Keith Steury, and Chauncey Parker. Language modeling for soft keyboards, ACM, 2002.
Joshua Goodman, Gina Venolia, Keith Steury, and Chauncey Parker. Language modeling for soft keyboards, American Association for Artificial Intelligence, 2002.