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An ACT-R model of SMS behavior on the optimal mobile telephone keyboard

Schaap, T. W. (2005) An ACT-R model of SMS behavior on the optimal mobile telephone keyboard. Master's Thesis / Essay, Artificial Intelligence.

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Abstract

The current alphabetical distribution of letters on a mobile telephone keyboard is suboptimal because no thought has been given to the structure of the input language. By separating the most frequent letter combinations within the Dutch language and by assigning the most frequent letters a low string number on a key, the number of keystrokes per letter is reduced and text entry on the new layout is made theoretically faster. However, because of the new letter distribution, which seems random at first sight, longer search times can be expected, which could outweigh the speed-up resulting from the optimal letter distribution. The factors that influence the moment at which the location of a letter is known are examined using a cognitive model in ACT-R/PM. The model gives us insight in the theoretical text entry speed that can be reached on the new keyboard layout and the search strategies that are developed to locate letters on an unfamiliar layout. The model initially searches systematically, but later develops strategies based on its newly gained knowledge. The main factor that influences the moment at which a letter's location on an unfamiliar layout is known is the frequency of the letter in a text. The string number of a letter or the number of other letters on its key does not have a significant influence on the difference in search times between the beginning and the end of the task. The model's results are tested in an experiment. The model results show that the new letter distribution leads to a speed-up in typing on the new keyboard layout compared to the original layout of 30 %.

Item Type: Thesis (Master's Thesis / Essay)
Degree programme: Artificial Intelligence
Thesis type: Master's Thesis / Essay
Language: English
Date Deposited: 15 Feb 2018 07:30
Last Modified: 15 Feb 2018 07:30
URI: http://fse.studenttheses.ub.rug.nl/id/eprint/8995

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