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http://dx.doi.org/10.5143/JESK.2008.27.4.073

Two - Handed Hangul Input Performance Prediction Model for Mobile Phone  

Lee, Joo-Woo (Division of Information Management Engineering, Korea University)
Myung, Ro-Hae (Division of Information Management Engineering, Korea University)
Publication Information
Journal of the Ergonomics Society of Korea / v.27, no.4, 2008 , pp. 73-83 More about this Journal
Abstract
With a rapid extension of functions in mobile phones, text input method has become very important for mobile phone users. Previous studies for text input methods were focused on Fitts' law, emphasizing expert's behaviors with one-handed text input method. However, it was observed that 97% of Korean mobile phone users input texts with two-hands. Therefore, this study was designed to develop a prediction model of two-handed Hangul text entry method including novice users as well as experts for mobile phone. For this study, Fitts' law was hypothesized to predict experts' movement time(MT) whereas Hick-Hyman law for visual search time was hypothesized to be added to MT for novices. The results showed that the prediction model was well fitted with the empirical data for both experts and novices with less than 3% error rates. In conclusion, this prediction model of two-handed Hangul text entry including novice users was proven to be a very effective model for modeling two-handed Hangul text input behavior for both experts.
Keywords
Fitts' law; Hick-Hyman law; Two-handed Hangul input model; Performance prediction model;
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Times Cited By KSCI : 2  (Citation Analysis)
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