Animated Edge Textures in Node-Link Diagrams: a Design Space and Initial Evaluation

Romat Hugo, Carolin Appert, Benjamin Bach, Nathalie Henry Riche, Emmanuel Pietriga

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Network edge data attributes are usually encoded using color, opacity, stroke thickness and stroke pattern, or some combination thereof. In addition to these static variables, it is also possible to animate dynamic particles flowing along the edges. This opens a larger design space of animated edge textures, featuring additional visual encodings that have potential not only in terms of visual mapping capacity but also playfulness and aesthetics. Such animated edge textures have been used in several commercial and design-oriented visualizations, but to our knowledge almost always in a relatively ad hoc manner. We introduce a design space and Web-based framework for generating animated edge textures, and report on an initial evaluation of particle properties - particle speed, pattern and frequency - in terms of visual perception.
Original languageEnglish
Title of host publicationACM Conference on Human Factors in Computing Systems (CHI)
PublisherACM
Number of pages13
ISBN (Electronic)978-1-4503-5620-6
DOIs
Publication statusPublished - 21 Apr 2018
EventCHI 2018 - Palais des Congrès de Montréal, Montreal, Canada
Duration: 21 Apr 201826 Apr 2018

Conference

ConferenceCHI 2018
CountryCanada
CityMontreal
Period21/04/1826/04/18

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