research-article

Using Animation to Alleviate Overdraw in Multiclass Scatterplot Matrices

Authors:

Beste F. Yuksel,

Lane HarrisonAuthors Info & Claims

CHI '18: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

Paper No.: 417, Pages 1 - 12

https://doi.org/10.1145/3173574.3173991

Published: 21 April 2018 Publication History

Abstract

The scatterplot matrix (SPLOM) is a commonly used technique for visualizing multiclass multivariate data. However, multiclass SPLOMs have issues with overdraw (overlapping points), and most existing techniques for alleviating overdraw focus on individual scatterplots with a single class. This paper explores whether animation using flickering points is an effective way to alleviate overdraw in these multiclass SPLOMs. In a user study with 69 participants, we found that users not only performed better at identifying dense regions using animated SPLOMs, but also found them easier to interpret and preferred them to static SPLOMs. These results open up new directions for future work on alleviating overdraw for multiclass SPLOMs, and provide insights for applying animation to alleviate overdraw in other settings.

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Cited By

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Index Terms

Using Animation to Alleviate Overdraw in Multiclass Scatterplot Matrices
1. Human-centered computing

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cover image ACM Conferences

CHI '18: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

April 2018

8489 pages

ISBN:9781450356206

DOI:10.1145/3173574

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Regan Mandryk
University of Saskatchewan, Canada
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Mark Hancock
University of Waterloo, Canada
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Mark Perry
Brunel University London, UK
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University College London, UK

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https://doi.org/10.1109/TVCG.2024.3381453
Rave HMolchanov VLinsen L(2024)Uniform Sample Distribution in Scatterplots via Sector-based Transformation2024 IEEE Visualization and Visual Analytics (VIS)10.1109/VIS55277.2024.00039(156-160)Online publication date: 13-Oct-2024
https://doi.org/10.1109/VIS55277.2024.00039
Lobato Nde Araujo TMeiguins Bdos Santos C(2024)A Review of Techniques for Reducing Shortcomings in Classical Information Visualization Charts2024 28th International Conference Information Visualisation (IV)10.1109/IV64223.2024.00013(1-7)Online publication date: 22-Jul-2024
https://doi.org/10.1109/IV64223.2024.00013
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