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Title: | Improvised layout of keypad entry system for mobile phones |
Authors: | Mittal, Arpit Sengupta, Arijit |
Keywords: | Predictive text-entry systems Mobile phones |
Issue Date: | 2009 |
Publisher: | Computer Standards and Interfaces |
Citation: | 10.1016/j.csi.2008.09.007 |
Abstract: | In this paper, we present a critical review of the current layout of alphabets on a mobile keypad and seek to improvise it for optimized text entry to facilitate user interaction with or without the use of predictive text input techniques. Currently, most mobile phones use multi-press as the preferred method of text entry though they also offer word-based disambiguation schemes. However, keypad layouts are not optimized for text entry using word based disambiguation schemes as several matches exist for the same numeric combination, some of which are frequently used words. This scheme effectively slows down text entry speeds, requiring more tapping for disambiguating matches. The proposed model seeks to reduce the number of matches for any possible numeric combinations, by optimization of keypad layout by repositioning alphabets on the keypad. For users not using dictionary, our model requires lesser tapping for commonly used alphabets and groups commonly used key combinations together such as in a computer keyboard. The proposed model was derived by simulation of the mobile phone keypad on a computer system and it uses cognitive agents to derive the most optimum keypad layout. Our model uses frequently used English words from a dictionary and attempts to minimize the number of matches for any given numeric key combinations, though the same could easily be duplicated for other languages. The model is expected to cause a significant rise in the text input speeds of mobile phones and other embedded devices with limited text entry capabilities, leading to better usability and customer satisfaction. |
Description: | NITW |
URI: | http://localhost:8080/xmlui/handle/123456789/1855 |
Appears in Collections: | Computer Science and Engineering |
Files in This Item:
File | Description | Size | Format | |
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1-s2.0-S0920548908001116-main.pdf | 539.28 kB | Adobe PDF | View/Open |
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