Non-Visually Performing Analytical Tasks on Statistical Charts.

Journal: Studies in health technology and informatics
Published Date:

Abstract

This article proposes a natural language-based approach to accessibility of charts. Formal underpinnings are used to semantically annotate the constituent elements of a vector graphic to support accessing and modifying the content by natural language queries in a web interface. A prototype which lets blind users perform a number of analytical activities on bar charts is introduced.

Authors

  • Tomás Murillo-Morales
    Johannes Kepler University, Linz (Austria).
  • Klaus Miesenberger
    Johannes Kepler University, Linz (Austria).