Abstract
Information graphics found in popular media contain communicative signals which help the viewer infer the graphic designer’s intended message. One signal is the relative effort required for different recognition tasks. This paper presents a model of the effort required to recognize a trend in a grouped bar chart. The model is developed using the ACT-R cognitive framework and validated via eye tracking experiments.
This material is based upon work supported by the National Science Foundation under Grant No. IIS-0534948.
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Burns, R., Elzer, S., Carberry, S. (2008). Estimating Effort for Trend Messages in Grouped Bar Charts. In: Stapleton, G., Howse, J., Lee, J. (eds) Diagrammatic Representation and Inference. Diagrams 2008. Lecture Notes in Computer Science(), vol 5223. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87730-1_34
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DOI: https://doi.org/10.1007/978-3-540-87730-1_34
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-87729-5
Online ISBN: 978-3-540-87730-1
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