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The today and tomorrow of Braille learning

ABSTRACT

Despite the overwhelming emergence of accessible digital technologies, Braille still plays a role in providing blind people with access to content. Nevertheless, many fail to see the benefits of nurturing Braille, particularly given the time and effort required to achieve proficiency. Our research focuses on maximizing access and motivation to learn and use Braille. We present initial insights from 5 interviews with blind people, comprising of Braille instructors and students, where we characterize the learning process and usage of Braille. Based on our findings, we have identified a set of opportunities around Braille education. Moreover, we devised scenarios, and built hardware and software solutions to motivate discovery and retention of Braille literacy.

References

  1. Nicolau, H., et al. UbiBraille: designing and evaluating a vibrotactile Braille-reading device. In proc. of the ACM SIGACCESS conference on Computers & accessibility. 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Nicolau, H., et al., Augmenting Braille Input through MultiTouch Feedback. In Proc. of UIST, 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Oliveira, J., et al. BrailleType: unleashing braille over touch screen mobile phones. In Proc of INTERACT 2011, 100--107 Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Romero, M., et al. BrailleTouch: designing a mobile eyes-free soft keyboard. In Proc. of Mobile HCI, 2011, 707--709. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Ryles, R. Braille as a predictor of success. In J. M. Dixon (Ed.), Braille into the next millennium. 2000, 463--491.Google ScholarGoogle Scholar

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  1. The today and tomorrow of Braille learning

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    • Published in

      ACM Conferences cover image
      ASSETS '13: Proceedings of the 15th International ACM SIGACCESS Conference on Computers and Accessibility
      October 2013
      343 pages
      ISBN:9781450324052
      DOI:10.1145/2513383

      Copyright © 2013 Owner/Author

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 21 October 2013

      Qualifiers

      • research-article

      Acceptance Rates

      ASSETS '13 Paper Acceptance Rate 28 of 98 submissions, 29%
      Overall Acceptance Rate 477 of 1,600 submissions, 30%

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