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2019 | OriginalPaper | Chapter

Influence of Color and Size of Particles on Their Perceived Speed in Node-Link Diagrams

Authors : Hugo Romat, Dylan Lebout, Emmanuel Pietriga, Caroline Appert

Published in: Human-Computer Interaction – INTERACT 2019

Publisher: Springer International Publishing

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Abstract

Edges in networks often represent transfer relationships between vertices. When visualizing such networks as node-link diagrams, animated particles flowing along the links can effectively convey this notion of transfer. Variables that govern the motion of particles, their speed in particular, may be used to visually represent edge data attributes. Few guidelines exist to inform the design of these particle-based network visualizations, however. Empirical studies so far have only looked at the different motion variables in isolation, independently from other visual variables controlling the appearance of particles, such as their color or size. In this paper, we report on a study of the influence of several visual variables on users’ perception of the speed of particles. Our results show that particles’ luminance, chromaticity and width do not interfere with their perceived speed. But variations in their length make it more difficult for users to compare the relative speed of particles across edges.

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Which is redundant with the green vs. orange color and with the actual motion when animating the visualization, but becomes more useful when looking at a still image.

Marks are presented in isolation or in pairs at best.

Marks do not vary in their size and shape.

Distance between links is computed as the minimum distance among all four pairs of endpoints between the two links.

Calculation of link length ignores the link’s curvature.

To keep the submission anonymous, the companion website is provided only as supplemental material for now.

We use formula (8) in [35] considering that particles are small elongated marks that can have various orientations.

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Title: Influence of Color and Size of Particles on Their Perceived Speed in Node-Link Diagrams
Authors: Hugo Romat
Dylan Lebout
Emmanuel Pietriga
Caroline Appert
Publisher: Springer International Publishing
Book: Human-Computer Interaction – INTERACT 2019
Print ISBN: 978-3-030-29383-3

Electronic ISBN: 978-3-030-29384-0

Copyright Year: 2019
DOI: https://doi.org/10.1007/978-3-030-29384-0_37

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