Text prediction systems: a survey

  • Authors:
  • Nestor Garay-Vitoria;Julio Abascal

  • Affiliations:
  • Laboratory of Human-Computer Interaction for Special Needs Informatika Fakultatea, Euskal Herriko Unibertsitatea, Manuel Lardizabal, 1, E-20018, Donostia, Spain;Laboratory of Human-Computer Interaction for Special Needs Informatika Fakultatea, Euskal Herriko Unibertsitatea, Manuel Lardizabal, 1, E-20018, Donostia, Spain

  • Venue:
  • Universal Access in the Information Society
  • Year:
  • 2006

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Abstract

Text prediction is one of the most widely used techniques to enhance the communication rate in augmentative and alternative communication. Prediction systems are traditionally used by people with disabilities (e.g. people with motor and speech impairments). However, new applications, such as writing short text messages via mobile phones, have recently appeared. A vast amount of heterogeneous text prediction methods and techniques can be found in literature. Their heterogeneity makes it difficult to understand and compare them, in order to select the most convenient technique for a specific design. This paper presents a survey on text prediction techniques with the intention to provide a systematic view of this field. Prediction applications and related features, such as block size, dictionary structure, prediction method, user interface, etc., are examined. In addition, prediction measurement parameters and published results are compared. A large number of factors that may influence prediction results, including the acceptance of the system by the users, are reviewed, and their influence on the performance and usability of the system is discussed.