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Access to multimodal articles for individuals with sight impairments

Access to multimodal articles for individuals with sight impairments Access to Multimodal Articles for Individuals with Sight Impairments SANDRA CARBERRY, University of Delaware STEPHANIE ELZER SCHWARTZ, Millersville University KATHLEEN MCCOY, University of Delaware SENIZ DEMIR, Scientific and Technological Research Council of Turkey PENG WU, CHARLES GREENBACKER, and DANIEL CHESTER, University of Delaware EDWARD SCHWARTZ, Carnegie Mellon University DAVID OLIVER, Millersville University PRISCILLA MORAES, University of Delaware Although intelligent interactive systems have been the focus of many research efforts, very few have addressed systems for individuals with disabilities. This article presents our methodology for an intelligent interactive system that provides individuals with sight impairments with access to the content of information graphics (such as bar charts and line graphs) in popular media. The article describes the methodology underlying the system's intelligent behavior, its interface for interacting with users, examples processed by the implemented system, and evaluation studies both of the methodology and the effectiveness of the overall system. This research advances universal access to electronic documents. Categories and Subject Descriptors: D.2.2 [Software Engineering]: Design Tools and Techniques--User interfaces; H.1.2 [Information Systems]: User/Machine Systems--Human factors; Human information processing; H.4.3 [Information Systems]: Information Systems Applications--Communications Applications--Information browsers; H.5.2 [Information Systems]: Information Interfaces and Presentation-- User Interfaces--Natural language; Screen design; I.2 http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Interactive Intelligent Systems (TiiS) Association for Computing Machinery

Access to multimodal articles for individuals with sight impairments

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2012 by ACM Inc.
ISSN
2160-6455
DOI
10.1145/2395123.2395126
Publisher site
See Article on Publisher Site

Abstract

Access to Multimodal Articles for Individuals with Sight Impairments SANDRA CARBERRY, University of Delaware STEPHANIE ELZER SCHWARTZ, Millersville University KATHLEEN MCCOY, University of Delaware SENIZ DEMIR, Scientific and Technological Research Council of Turkey PENG WU, CHARLES GREENBACKER, and DANIEL CHESTER, University of Delaware EDWARD SCHWARTZ, Carnegie Mellon University DAVID OLIVER, Millersville University PRISCILLA MORAES, University of Delaware Although intelligent interactive systems have been the focus of many research efforts, very few have addressed systems for individuals with disabilities. This article presents our methodology for an intelligent interactive system that provides individuals with sight impairments with access to the content of information graphics (such as bar charts and line graphs) in popular media. The article describes the methodology underlying the system's intelligent behavior, its interface for interacting with users, examples processed by the implemented system, and evaluation studies both of the methodology and the effectiveness of the overall system. This research advances universal access to electronic documents. Categories and Subject Descriptors: D.2.2 [Software Engineering]: Design Tools and Techniques--User interfaces; H.1.2 [Information Systems]: User/Machine Systems--Human factors; Human information processing; H.4.3 [Information Systems]: Information Systems Applications--Communications Applications--Information browsers; H.5.2 [Information Systems]: Information Interfaces and Presentation-- User Interfaces--Natural language; Screen design; I.2

Journal

ACM Transactions on Interactive Intelligent Systems (TiiS) – Association for Computing Machinery

Published: Dec 1, 2012

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