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A taxonomy of motion applications in data visualization

Published: 29 July 2017 Publication History

Abstract

We propose a new taxonomy that explains the roles of motion in data visualization, focusing especially on their communicative aspects. Our taxonomy clarifies the main axis in how visualization designers can employ motion in data portrayal.

References

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L. Bartram and A. Nakatani. 2010. What Makes Motion Meaningful? Affective Properties of Abstract Motion. In 2010 Fourth Pacific-Rim Symposium on Image and Video Technology. 468--474.
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Ping Zhang. 2000. The Effects of Animation on Information Seeking Performance on the World Wide Web: Securing Attention or Interfering with Primary Tasks? J. AIS 1, 1es, Article 1 (March 2000). http://dl.acm.org/citation.cfm?id=374126.374128

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  1. A taxonomy of motion applications in data visualization

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    cover image ACM Conferences
    SBIM '17: Proceedings of the Symposium on Sketch-Based Interfaces and Modeling
    July 2017
    51 pages
    ISBN:9781450350792
    DOI:10.1145/3092907
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Published: 29 July 2017

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    Author Tags

    1. information visualization
    2. visualization
    3. visualization theory

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