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Producing preferred format material from Microsoft Word.

D Gareth Evans1, Paul Blenkhorn

  • 1Department of Computation, University of Manchester Institute of Science and Technology, Manchester M60 1QD, UK. g.evans@co.umist.ac.uk

IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society
|October 12, 2004
PubMed
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This study introduces integrated word processor tools for creating documents in preferred formats for visually impaired individuals. It details methods for spoken transcription and intelligent large print production to improve accessibility.

Area of Science:

  • Assistive Technology
  • Human-Computer Interaction
  • Document Accessibility

Background:

  • Visually impaired individuals often face challenges accessing standard print documents.
  • There is a need for specialized tools to convert digital documents into accessible formats.
  • Existing solutions may lack integration or specific features for preferred formats.

Purpose of the Study:

  • To present a suite of integrated tools designed for visually impaired users.
  • To motivate the development of assistive document production technologies.
  • To describe specific tools for spoken transcription and large print generation.

Main Methods:

  • Integration of specialized tools with a standard word processor.
  • Development of a spoken transcription tool (outputting to cassette tape).

Related Experiment Videos

  • Implementation of an intelligent large print production system.

    • Main Results:

    • Successful creation of tools that produce documents in preferred formats.
    • Demonstration of spoken transcription capabilities.
    • Exhibition of intelligent large print generation functionalities.

    Conclusions:

    • The developed tools enhance document accessibility for visually impaired persons.
    • Integrated word processor solutions offer a practical approach to preferred format production.
    • Further development in assistive technologies can significantly improve digital inclusion.