Visual perception and mixed-initiative interaction for assisted visualization design

IEEE Transactions on Visualization and Computer Graphics
Christopher HealeyRobert St Amant

Abstract

This paper describes the integration of perceptual guidelines from human vision with an AI-based mixed-initiative search strategy. The result is a visualization assistant called ViA, a system that collaborates with its users to identify perceptually salient visualizations for large, multidimensional datasets. ViA applies knowledge of low-level human vision to: (1) evaluate the effectiveness of a particular visualization for a given dataset and analysis tasks; and (2) rapidly direct its search towards new visualizations that are most likely to offer improvements over those seen to date. Context, domain expertise, and a high-level understanding of a dataset are critical to identifying effective visualizations. We apply a mixed-initiative strategy that allows ViA and its users to share their different strengths and continually improve ViA's understanding of a user's preferences. We visualize historical weather conditions to compare ViA's search strategy to exhaustive analysis, simulated annealing, and reactive tabu search, and to measure the improvement provided by mixed-initiative interaction. We also visualize intelligent agents competing in a simulated online auction to evaluate ViA's perceptual guidelines. Results from each st...Continue Reading

References

May 1, 1990·Journal of the Optical Society of America. A, Optics and Image Science·J Malik, P Perona
Jul 1, 1984·Perception & Psychophysics·T C Callaghan
Oct 21, 1998·Journal of Experimental Psychology. Human Perception and Performance·R J Snowden
Jan 5, 2005·IEEE Computer Graphics and Applications·Chris Johnson
Jan 6, 2005·IEEE Transactions on Visualization and Computer Graphics·David H LaidlawMichael J Tarr
Jun 1, 1994·Psychonomic Bulletin & Review·J M Wolfe

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Citations

Oct 29, 2011·IEEE Transactions on Visualization and Computer Graphics·Mark A Livingston, Jonathan W Decker

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