Literature DB >> 26357149

Different Strokes for Different Folks: Visual Presentation Design between Disciplines.

S R Gomez1, R Jianu, C Ziemkiewicz, Hua Guo, D H Laidlaw.   

Abstract

We present an ethnographic study of design differences in visual presentations between academic disciplines. Characterizing design conventions between users and data domains is an important step in developing hypotheses, tools, and design guidelines for information visualization. In this paper, disciplines are compared at a coarse scale between four groups of fields: social, natural, and formal sciences; and the humanities. Two commonplace presentation types were analyzed: electronic slideshows and whiteboard "chalk talks". We found design differences in slideshows using two methods - coding and comparing manually-selected features, like charts and diagrams, and an image-based analysis using PCA called eigenslides. In whiteboard talks with controlled topics, we observed design behaviors, including using representations and formalisms from a participant's own discipline, that suggest authors might benefit from novel assistive tools for designing presentations. Based on these findings, we discuss opportunities for visualization ethnography and human-centered authoring tools for visual information.

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Mesh:

Year:  2012        PMID: 26357149      PMCID: PMC4729220          DOI: 10.1109/TVCG.2012.214

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  5 in total

1.  Visual thinking in action: visualizations as used on whiteboards.

Authors:  Jagoda Walny; Sheelagh Carpendale; Nathalie Henry Riche; Gina Venolia; Philip Fawcett
Journal:  IEEE Trans Vis Comput Graph       Date:  2011-12       Impact factor: 4.579

2.  Visualization rhetoric: framing effects in narrative visualization.

Authors:  Jessica Hullman; Nicholas Diakopoulos
Journal:  IEEE Trans Vis Comput Graph       Date:  2011-12       Impact factor: 4.579

3.  Narrative visualization: telling stories with data.

Authors:  Edward Segel; Jeffrey Heer
Journal:  IEEE Trans Vis Comput Graph       Date:  2010 Nov-Dec       Impact factor: 4.579

4.  Mental models, visual reasoning and interaction in information visualization: a top-down perspective.

Authors:  Zhicheng Liu; John T Stasko
Journal:  IEEE Trans Vis Comput Graph       Date:  2010 Nov-Dec       Impact factor: 4.579

5.  Eigenfaces for recognition.

Authors:  M Turk; A Pentland
Journal:  J Cogn Neurosci       Date:  1991       Impact factor: 3.225

  5 in total

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