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Related Experiment Videos

New possibilities for enhanced keyboard input for the handicapped.

M Soede1, H L van Balkom, G Deroost

  • 1Institute for Rehabilitation Research, Hoensbroek, The Netherlands.

Journal of Medical Engineering & Technology
|January 1, 1989
PubMed
Summary

This study enhances communication speed for motor-impaired individuals using predictive text and automatic decoding on small keyboards. These methods leverage language redundancy to significantly improve typing efficiency.

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Area of Science:

  • Assistive Technology
  • Human-Computer Interaction
  • Computational Linguistics

Background:

  • Motor and speech impairments create significant communication barriers.
  • Computerized communication devices offer a potential solution for individuals with speech difficulties.
  • Existing assistive keyboards often suffer from slow input speeds, typically under three words per minute, due to motor limitations.

Purpose of the Study:

  • To enhance communication speed for individuals with motor impairments using assistive technology.
  • To explore the application of language redundancy for improving typing efficiency.
  • To develop and evaluate methods for prediction and automatic decoding in small-key computer keyboards.

Main Methods:

  • Investigated prediction techniques, where characters, words, or sentences are suggested based on existing typed input.

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  • Explored automatic decoding for two-step selection systems on low-key keyboards, where the computer program completes the selection.
  • Developing a prototype system integrating the PAL (Prediction by Abbreviation) prediction system and the WRITE-keyboard.

    • Main Results:

    • Prediction methods leverage typed text to anticipate subsequent characters, words, or phrases.
    • Automatic decoding in small-key systems can significantly reduce the number of required keystrokes.
    • Potential keystroke savings of 40% to 50% were identified through these methods.

    Conclusions:

    • Language redundancy can be effectively utilized to accelerate communication for users of assistive keyboards.
    • Combining prediction and automatic decoding offers a promising approach to overcome input limitations in assistive communication devices.
    • The developed prototype system aims to significantly improve communication rates for motor- and speech-impaired individuals.