Literature DB >> 18988980

Effectiveness of animation in trend visualization.

George Robertson1, Roland Fernandez, Danyel Fisher, Bongshin Lee, John Stasko.   

Abstract

Animation has been used to show trends in multi-dimensional data. This technique has recently gained new prominence for presentations, most notably with Gapminder Trendalyzer. In Trendalyzer, animation together with interesting data and an engaging presenter helps the audience understand the results of an analysis of the data. It is less clear whether trend animation is effective for analysis. This paper proposes two alternative trend visualizations that use static depictions of trends: one which shows traces of all trends overlaid simultaneously in one display and a second that uses a small multiples display to show the trend traces side-by-side. The paper evaluates the three visualizations for both analysis and presentation. Results indicate that trend animation can be challenging to use even for presentations; while it is the fastest technique for presentation and participants find it enjoyable and exciting, it does lead to many participant errors. Animation is the least effective form for analysis; both static depictions of trends are significantly faster than animation, and the small multiples display is more accurate.

Entities:  

Year:  2008        PMID: 18988980     DOI: 10.1109/TVCG.2008.125

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


  4 in total

1.  Constructing a population-based research database from routine maternal screening records: a resource for studying alloimmunization in pregnant women.

Authors:  Brian K Lee; Alexander Ploner; Zhongxing Zhang; Gunilla Gryfelt; Agneta Wikman; Marie Reilly
Journal:  PLoS One       Date:  2011-11-30       Impact factor: 3.240

2.  Beyond simple charts: Design of visualizations for big health data.

Authors:  Oluwakemi Ola; Kamran Sedig
Journal:  Online J Public Health Inform       Date:  2016-12-28

3.  Temporal scatterplots.

Authors:  Or Patashnik; Min Lu; Amit H Bermano; Daniel Cohen-Or
Journal:  Comput Vis Media (Beijing)       Date:  2020-11-07

4.  Bento Box: An Interactive and Zoomable Small Multiples Technique for Visualizing 4D Simulation Ensembles in Virtual Reality.

Authors:  Seth Johnson; Daniel Orban; Hakizumwami Birali Runesha; Lingyu Meng; Bethany Juhnke; Arthur Erdman; Francesca Samsel; Daniel F Keefe
Journal:  Front Robot AI       Date:  2019-07-23
  4 in total

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