Design Patterns for Situated Visualization in Augmented Reality
Benjamin Lee, Michael Sedlmair, Dieter Schmalstieg

TL;DR
This paper introduces design patterns for situated visualization in augmented reality, synthesizing extensive research and expertise to guide effective visualization design in physical contexts.
Contribution
It presents a set of design patterns derived from a comprehensive survey and expertise, tailored for AR situated visualization, with guidelines for practical application.
Findings
Derived 12 design patterns for AR situated visualization
Survey of 293 papers in AR and visualization communities
Guidelines for applying patterns in real-world scenarios
Abstract
Situated visualization has become an increasingly popular research area in the visualization community, fueled by advancements in augmented reality (AR) technology and immersive analytics. Visualizing data in spatial proximity to their physical referents affords new design opportunities and considerations not present in traditional visualization, which researchers are now beginning to explore. However, the AR research community has an extensive history of designing graphics that are displayed in highly physical contexts. In this work, we leverage the richness of AR research and apply it to situated visualization. We derive design patterns which summarize common approaches of visualizing data in situ. The design patterns are based on a survey of 293 papers published in the AR and visualization communities, as well as our own expertise. We discuss design dimensions that help to describe…
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Taxonomy
TopicsData Visualization and Analytics · Augmented Reality Applications · Computer Graphics and Visualization Techniques
