Literature DB >> 26357148

How Capacity Limits of Attention Influence Information Visualization Effectiveness.

S Haroz1, D Whitney.   

Abstract

In this paper, we explore how the capacity limits of attention influence the effectiveness of information visualizations. We conducted a series of experiments to test how visual feature type (color vs. motion), layout, and variety of visual elements impacted user performance. The experiments tested users' abilities to (1) determine if a specified target is on the screen, (2) detect an odd-ball, deviant target, different from the other visible objects, and (3) gain a qualitative overview by judging the number of unique categories on the screen. Our results show that the severe capacity limits of attention strongly modulate the effectiveness of information visualizations, particularly the ability to detect unexpected information. Keeping in mind these capacity limits, we conclude with a set of design guidelines which depend on a visualization's intended use.

Year:  2012        PMID: 26357148     DOI: 10.1109/TVCG.2012.233

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


  3 in total

1.  Perception of average value in multiclass scatterplots.

Authors:  Michael Gleicher; Michael Correll; Christine Nothelfer; Steven Franconeri
Journal:  IEEE Trans Vis Comput Graph       Date:  2013-12       Impact factor: 4.579

2.  Which emphasis technique to use? Perception of emphasis techniques with varying distractors, backgrounds, and visualization types.

Authors:  Aristides Mairena; Carl Gutwin; Andy Cockburn
Journal:  Inf Vis       Date:  2021-09-22       Impact factor: 0.956

3.  The relation between color and spatial structure for interpreting colormap data visualizations.

Authors:  Shannon C Sibrel; Ragini Rathore; Laurent Lessard; Karen B Schloss
Journal:  J Vis       Date:  2020-11-02       Impact factor: 2.240

  3 in total

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