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Title:      SOFT KEYBOARD EVALUATIONS: INTEGRATING USER’S BACKGROUND IN PREDICTIVE MODELS
Author(s):      Bruno Merlin, Mathieu Raynal
ISBN:      978-972-8939-18-2
Editors:      Katherine Blashki
Year:      2010
Edition:      Single
Keywords:      Text input, Soft keyboards, ambiguous keys, mobility.
Type:      Short Paper
First Page:      369
Last Page:      374
Language:      English
Cover:      cover          
Full Contents:      click to dowload Download
Paper Abstract:      The performances during the first usages get an important impact on a new keyboard acceptability. But, out of experimental comparison, the predictive models existing to compare theoretically the first usages with different soft keyboards are not reliable enough. In this article, we propose to improve these predictive models by integrating the model of search strategies oriented by the user’s background. We modeled three keyboards and compare the results with experimental ones.
   

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