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Abstract
The rapidly increasing availability of electronic publications containing information graphics poses some interesting challenges in terms of information access. For example, visually impaired individuals should ideally be provided with access to the knowledge that would be gleaned from viewing the information graphic. Similarly, digital libraries must take into account the content of information graphics when constructing indices. This paper outlines our approach to recognizing the intended message of an information graphic, focusing on the concept of perceptual task effort, its role in the inference process, our rules for estimating effort, and the results of an eye tracking experiment conducted in order to evaluate and modify those rules.
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Author information
Authors and Affiliations
Dept of Computer Science, Millersville Univ., Millersville, PA, 17551, USA
Stephanie Elzer
Dept of Computer Science, Univ. of Delaware, Newark, DE, 19716, USA
Nancy Green
Dept of Mathematical Sciences, Univ. of North Carolina at Greensboro, Greensboro, NC, 27402, USA
Sandra Carberry
Dept of Psychology, University of Delaware, Newark, DE, 19716, USA
James Hoffman
- Stephanie Elzer
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- Nancy Green
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- Sandra Carberry
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- James Hoffman
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Editor information
Editors and Affiliations
Computer Laboratory, University of Cambridge, CB3 0FD, Cambridge, UK
Alan F. Blackwell
Clayton School of IT Monash University, 3800, Australia
Kim Marriott
Faculty of Culture and Information Science, Doshisha University, Japan
Atsushi Shimojima
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Elzer, S., Green, N., Carberry, S., Hoffman, J. (2004). Incorporating Perceptual Task Effort into the Recognition of Intention in Information Graphics. In: Blackwell, A.F., Marriott, K., Shimojima, A. (eds) Diagrammatic Representation and Inference. Diagrams 2004. Lecture Notes in Computer Science(), vol 2980. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25931-2_26
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