City Research Online

Abstract

Data visualizations are used widely to help people see patterns in data across research, policy, education, and business. Computer screens allow these visualizations to become animated, which can effectively show processes of change. While animations can be engaging, ineffective design can also make them confusing or overwhelming. We develop new guidelines for designing effective animated data visualizations by reviewing 40 real-world visualization examples, and categorizing the visual tasks people perform when viewing them. These categories include tracking tasks, holistic judgments, and noticing objects added to or removed from a display. We then evaluate the known capacity limits of each task from human motion processing literature and use these to inform design techniques that enable visualizations to respect these capacity limits. Together, the tasks, limits, and corresponding techniques form new, broadly applicable guidelines that should help designers create effective animated visualizations informed by theory of human perception.

Publication Type:	Article
Additional Information:	This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Publisher Keywords:	Perception, Attention, Data visualization, Design
Subjects:	H Social Sciences > HM Sociology H Social Sciences > HN Social history and conditions. Social problems. Social reform Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments:	School of Science & Technology School of Science & Technology > Department of Computer Science School of Science & Technology > Department of Computer Science > giCentre
SWORD Depositor:	Symplectic Administrator

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