(Natural language) interaction with graphical representations of statistical data

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(Natural language) interaction with graphical representations of statistical data

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ACM International Conference Proceeding Series; Vol. 225 archive
Proceedings of the 2007 international cross-disciplinary conference on Web accessibility (W4A) table of contents

Banff, Canada

Pages: 132 - 133

Year of Publication: 2007

ISBN:1-59593-590-X

Authors

Leo Ferres	Carleton University, Ottawa, ON, Canada
Petro Verkhogliad	Carleton University, Ottawa, ON, Canada
Louis Boucher	Statistics Canada, Ottawa, ON, Canada

Sponsors

: Mozilla Foundation
HA&AC : IBM Human Ability and Accessibility Center
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
: Zakon Group
SIGACCESS: ACM Special Interest Group on Accessible Computing

Publisher

ACM New York, NY, USA

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ABSTRACT

Numerical information is often presented in graphs to take advantage of the human ability to quickly find visual patterns. Unfortunately, this medium is problematic for people who are blind or otherwise visually-impaired. To provide accessibility to graphs published in The Daily (Statistics Canada's main dissemination venue), we have developed iGraph, a system that provides short verbal descriptions of the information depicted in graphs and a way of also interacting with graphical information.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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