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Diagrams Affect Choice of Strategy in Probability Problem Solving Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Exploring the Types of Messages that Pie Charts Convey in Popular Media

Authors : Richard Burns, Eric Balawejder, Wiktoria Domanowska, Stephanie Elzer Schwartz, Sandra Carberry

Published in: Diagrammatic Representation and Inference

Publisher: Springer International Publishing

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Abstract

In popular media, information graphics (pie charts, bar charts, line graphs) are frequently used to convey high-level intended messages. This paper focuses on the pie chart graphic type. We have collected a corpus of pie chart information graphics found in popular media, and for each chart, a team of annotators recognized its intended message. In this paper, we report on the types of intended messages that the team of annotators recognized and their inter-annotator agreement. We also briefly survey some of the communicative signals that graphic designers used which helped the annotators recognize these messages.

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Footnotes
1
The corpus of pie charts is available at: http://​www.​cs.​wcupa.​edu/​rburns/​piecharts.
 
2
Two annotations were only counted as matching if they had: (1) the same message category and (2) the same instantiation. For example, the two messages SingleSlice(Landfills) and SingleSlice(Animal digestion) would not be a match because their instantiations are not identical.
 
3
In the original graphic, Bounty is colored yellow, Troops is orange, and the unlabeled slice is gray.
 
Literature
1.
Burns, R., Carberry, S., Elzer, S., Chester, D.: Automatically recognizing intended messages in grouped bar charts. In: Cox, P., Plimmer, B., Rodgers, P. (eds.) Diagrams 2012. LNCS, vol. 7352, pp. 8–22. Springer, Heidelberg (2012)CrossRef
2.
Carberry, S., Elzer, S., Demir, S.: Information graphics: an untapped resource of digital libraries. In: Proceedings of 9th International ACM SigIR Conference on Research and Development on Information Retrieval, pp. 581–588 (2006)
3.
4.
Elzer, S., Carberry, S., Zukerman, I.: The automated understanding of simple bar charts. Artif. Intell. 175(2), 526–555 (2011)MathSciNetCrossRef
5.
Green, N.L., Carenini, G., Kerpedjiev, S., Mattis, J., Moore, J.D., Roth, S.F.: Auto- brief: an experimental system for the automatic generation of briengs in integrated text and information graphics. Int. J. Hum.-Comput. Stud. 61(1), 32–70 (2004)CrossRef
6.
Iverson, G., Gergen, M.: Statistics: The Conceptual Approach. Springer, New York (1997)CrossRef
7.
Wu, P., Carberry, S., Elzer, S., Chester, D.: Recognizing the intended message of line graphs. In: Goel, A.K., Jamnik, M., Narayanan, N.H. (eds.) Diagrams 2010. LNCS, vol. 6170, pp. 220–234. Springer, Heidelberg (2010)CrossRef
Metadata
Title
Exploring the Types of Messages that Pie Charts Convey in Popular Media
Authors
Richard Burns
Eric Balawejder
Wiktoria Domanowska
Stephanie Elzer Schwartz
Sandra Carberry
Copyright Year
2016
Book
Diagrammatic Representation and Inference

Print ISBN: 978-3-319-42332-6

Electronic ISBN: 978-3-319-42333-3

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-42333-3_22