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Erschienen in:
2018 | OriginalPaper | Buchkapitel
A Classification of Infographics
verfasst von : Helen C. Purchase, Katherine Isaacs, Thomas Bueti, Ben Hastings, Aadam Kassam, Allen Kim, Steffan van Hoesen
Erschienen in: Diagrammatic Representation and Inference
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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.