IEEE VIS 2024 Content: Complexity as Design Material

Complexity as Design Material

Florian Windhager - University for Continuing Education Krems, Krems, Austria

Alfie Abdul-Rahman - King's College London, London, United Kingdom

Mark-Jan Bludau - University of Applied Sciences Potsdam, Potsdam, Germany

Nicole Hengesbach - Warwick Institute for the Science of Cities, Coventry, United Kingdom

Houda Lamqaddam - University of Amsterdam, Amsterdam, Netherlands

Isabel Meirelles - OCAD University, Toronto, Canada

Bettina Speckmann - TU Eindhoven, Eindhoven, Netherlands

Michael Correll - Northeastern University, Portland, United States

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Room: Bayshore I

2024-10-14T16:00:00ZGMT-0600Change your timezone on the schedule page
2024-10-14T16:00:00Z
Exemplar figure, described by caption below
Axes of complexity and complexity transformation in visualization design, bridging from project initiation complexity to the complexity of interpretation and communication activities, using the metaphor of a mixing board. A designer might strategically employ higher or lower levels of complexity across these axes to achieve a desired effect. Likewise, changes to one type of complexity shift complexity to other parts of the pipeline.
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Abstract

Complexity is often seen as a inherent negative in information design, with the job of the designer being to reduce or eliminate complexity, and with principles like Tufte’s “data-ink ratio” or “chartjunk” to operationalize minimalism and simplicity in visualizations. However, in this position paper, we call for a more expansive view of complexity as a design material, like color or texture or shape: an element of information design that can be used in many ways, many of which are beneficial to the goals of using data to understand the world around us. We describe complexity as a phenomenon that occurs not just in visual design but in every aspect of the sensemaking process, from data collection to interpretation. For each of these stages, we present examples of ways that these various forms of complexity can be used (or abused) in visualization design. We ultimately call on the visualization community to build a more nuanced view of complexity, to look for places to usefully integrate complexity in multiple stages of the design process, and, even when the goal is to reduce complexity, to look for the non-visual forms of complexity that may have otherwise been overlooked.