Issue No. 12 - Dec. (2012 vol. 18)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TVCG.2012.233
Steve Haroz , University of California, Davis
David Whitney , University of California, Berkeley
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&#8217; 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&#8217;s intended use.
Visualization, Layout, Data visualization, Image color analysis, Color, Accuracy, Time factors, goal-oriented design, Perception, attention, color, motion, user study, nominal axis, layout
Steve Haroz, David Whitney, "How Capacity Limits of Attention Influence Information Visualization Effectiveness", IEEE Transactions on Visualization & Computer Graphics, vol. 18, no. , pp. 2402-2410, Dec. 2012, doi:10.1109/TVCG.2012.233