2010
DOI: 10.1007/978-3-642-14100-3_17
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Evaluation of WordTree System with Motor Disabled Users

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Cited by 2 publications
(3 citation statements)
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“…Our Semantic Keyboard uses a character prediction system based on a lexical tree [2]. When the user enters a prefix, the prediction system classifies letters by their probability of occurrence and then associates an enlargement coefficient with each key.…”
Section: Methodsmentioning
confidence: 99%
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“…Our Semantic Keyboard uses a character prediction system based on a lexical tree [2]. When the user enters a prefix, the prediction system classifies letters by their probability of occurrence and then associates an enlargement coefficient with each key.…”
Section: Methodsmentioning
confidence: 99%
“…They typically lead to a static or dynamic reorganization of the keyboard or other improvements considering co-occurrence. A well known technique is to provide a completion list [2], [7] to reduce the number of actions to input a word. However, every solution is a compromise: New layouts are hard to learn; dynamic changes increase cognitive load and completion lists are often used inefficiently.…”
Section: Introductionmentioning
confidence: 99%
“…However, these systems are only effective if the desired word is present in the list. In any case, it is often necessary to enter several characters before you can access the word in the list [3].…”
Section: Introductionmentioning
confidence: 99%