A Classification of Infographics

Purchase, H. C. , Isaacs, K., Bueti, T., Hastings, B., Kassam, A., Kim, A. and van Hoesen, S. (2018) A Classification of Infographics. In: 10th International Conference on the Theory and Application of Diagrams, Edinburgh, UK, 18-22 June 2018, pp. 210-218. ISBN 9783319913759 (doi:10.1007/978-3-319-91376-6_21)

[img]
Preview
Text
157312.pdf - Accepted Version

497kB

Abstract

Classifications are useful for describing existing phenomena and guiding further investigation. Several classifications of diagrams have been proposed, typically based on analytical rather than empirical methodologies. A notable exception is the work of Lohse and his colleagues, published in Communications of the ACM in December 1994. The classification of diagrams that Lohse proposed was derived from bottom-up grouping data collected from sixteen participants and based on 60 diagrams. Mean values on ten Likert-scales were used to predict diagram class. We follow a similar methodology to Lohse, using real-world infographics (i.e. embellished data charts) as our stimuli. We propose a structural classification of infographics, and determine whether infographics class can be predicted from values on Likert scales.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Purchase, Dr Helen
Authors: Purchase, H. C., Isaacs, K., Bueti, T., Hastings, B., Kassam, A., Kim, A., and van Hoesen, S.
College/School:College of Science and Engineering > School of Computing Science
ISBN:9783319913759
Copyright Holders:Copyright © 2018 Springer International Publishing AG, part of Springer Nature
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher
Related URLs:

University Staff: Request a correction | Enlighten Editors: Update this record