Authors: Sierra Shell, Lisa Everdyke, Joseph Hines, Shaun Kurian, Rajiv Ramarajan, Sunny Su, Jordan Benson
Abstract: We have extended the work of Heer and Robertson , which evaluated animated transitions in statistical graphics and established guidelines for effective use of staggering and staging to improve perception of changes in data. Our objective is to create a generalizable and testable framework which is applicable to additional visualization types and data transitions not covered by previous research. The framework defines how individual data transitions should be composed into a complete animation including individual animation methods, pacing, and staging. Our initial evaluation efforts test which staging arrangements allow for the most accurate understanding of the change in the data as well as which are most preferred by end users.