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A Comparison of Prediction Techniques to Enhance the Communication Rate

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3196))

Abstract

Prediction is one of the most extended techniques to enhance the rate of communication for people with motor and speech impairments who use Augmentative and Alternative Communication systems. There is an enormous diversity of prediction methods and techniques mentioned in the literature. Therefore, the designer finds tremendous difficulties in understanding and comparing them in order to decide the most convenient technique for a specific design. This paper presents a survey on prediction techniques applied to communicators with the intention of helping them to understand this field. Prediction applications and related features, such as block size, dictionary structure, prediction method, interface, special features, measurement and results, are detailed. Systems found in the literature are studied and described. Finally, a discussion is carried out on the possible comparison among the different methods.

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Garay-Vitoria, N., Abascal, J. (2004). A Comparison of Prediction Techniques to Enhance the Communication Rate. In: Stary, C., Stephanidis, C. (eds) User-Centered Interaction Paradigms for Universal Access in the Information Society. UI4ALL 2004. Lecture Notes in Computer Science, vol 3196. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30111-0_35

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  • DOI: https://doi.org/10.1007/978-3-540-30111-0_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23375-6

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