2014
DOI: 10.1007/978-3-319-08599-9_30
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Semantic Keyboard: Fast Movements between Keys of a Soft Keyboard

Abstract: Abstract. In this paper we describe Semantic Keyboard: a soft keyboard augmented by semantic pointing. The cursor crosses faster over keys containing low-probability letters (considering the prefix already entered). This optimization reduces the movement of the pointer by 60%, and increases the text entry speed by 13.5% after the first character in a word. Accuracy is equivalent to a regular soft keyboard.

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Cited by 5 publications
(3 citation statements)
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References 9 publications
(6 reference statements)
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“…Character prediction considers the last entered letters to predict the following one, usually by using a standard N-gram language model [8] or a lexical tree [9]. By using character prediction, we can expect to reduce the number of scan steps.…”
Section: Linguistic Predictionmentioning
confidence: 99%
“…Character prediction considers the last entered letters to predict the following one, usually by using a standard N-gram language model [8] or a lexical tree [9]. By using character prediction, we can expect to reduce the number of scan steps.…”
Section: Linguistic Predictionmentioning
confidence: 99%
“…It is also possible to modify the key sizes [1] or shapes [2] to facilitate access to the most probable characters. Other modifications have also been tried, for example, changing the font to highlight the most probable characters to assist searching for novice users [26], or modifying the transfer function of the pointing device to improve navigating to keys [38].…”
Section: Criteriamentioning
confidence: 99%
“…This solution consists of predicting the next character. This makes it easier to point the keys containing the most probable characters either by enlarging these keys [1,6], by adding additional keys [7], or by increasing the speed of the pointer according to its position [8]. But, this type of solution is mostly used for single-switch scanning using a virtual keyboard [4].…”
Section: Introductionmentioning
confidence: 99%