Enhancing an Automated Braille Writing Tutor - Robotics Institute Carnegie Mellon University

Enhancing an Automated Braille Writing Tutor

M. Bernardine Dias, Malcolm Frederick Dias, Sarah M. Belousov, Mohammed Kaleemur Rahman, Saurabh Sanghvi, and Noura El-Moughn
Conference Paper, Proceedings of (IROS) IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 2327 - 2333, October, 2009

Abstract

The reported work advances the state-of-the-art in assistive technology for the blind by enhancing a low-cost automated tutor designed to teach braille writing skills to visually impaired children using voice feedback. We first provide some background on how the methodology of Intelligent Tutoring Systems correlates to an automated tutor for teaching braille writing skills. We then build on prior work to enhance our automated Braille Writing Tutor in three dimensions: (1) Initial field testing in three different countries; (2) Exploring customization needs for improving relevance in different cultures; and (3) Adding relevant games for increasing motivation. The outcome of this work is an enhanced low-cost tool that can help to increase braille literacy in blind communities around the world.

BibTeX

@conference{Dias-2009-10349,
author = {M. Bernardine Dias and Malcolm Frederick Dias and Sarah M. Belousov and Mohammed Kaleemur Rahman and Saurabh Sanghvi and Noura El-Moughn},
title = {Enhancing an Automated Braille Writing Tutor},
booktitle = {Proceedings of (IROS) IEEE/RSJ International Conference on Intelligent Robots and Systems},
year = {2009},
month = {October},
pages = {2327 - 2333},
keywords = {assistive technology, braille, braille writing, braille literacy, braille tutor, educational technology, visually impaired users, intelligent tutoring systems, automated braille writing tutor},
}