Design Patterns for Situated Visualization in Augmented Reality

Benjamin Lee, Michael Sedlmair, Dieter Schmalstieg

Research output: Contribution to journalArticlepeer-review

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 both our patterns and previous work in the literature. This discussion is accompanied by several guidelines which explain how to apply the patterns given the constraints imposed by the real world. We conclude by discussing future research directions that will help establish a complete understanding of the design of situated visualization, including the role of interactivity, tasks, and workflows.

Original languageEnglish
Pages (from-to)1324-1335
Number of pages12
JournalIEEE Transactions on Visualization and Computer Graphics
Volume30
Issue number1
DOIs
Publication statusPublished - 1 Jan 2024

Keywords

  • Augmented reality
  • design patterns
  • design space
  • immersive analytics
  • situated visualization

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design

Fingerprint

Dive into the research topics of 'Design Patterns for Situated Visualization in Augmented Reality'. Together they form a unique fingerprint.

Cite this