Design Patterns for Situated Visualization in Augmented Reality
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Abstract (arXiv)
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.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 18 Jul 2023.
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Citing papers per year: 2025: 2; 2026: 4.
6 papers.
- 2026Evaluating Scene-based In-Situ Item Labeling for Immersive Conversational Recommendationcited by 4
- 2026SpeechLess: Micro-utterance with Personalized Spatial Memory-aware Assistant in Everyday Augmented Realitycited by 3
- 2026Memento: Towards Proactive Visualization of Everyday Memories with Personal Wearable AR Assistantcited by 1
- 2026From Speech-to-Spatial: Grounding Utterances on A Live Shared View with Augmented Realitycited by 1
- 2025PerfCam: Digital Twinning for Production Lines Using 3D Gaussian Splatting and Vision Modelscited by 0
- 2025Augmented Assembly: Object Recognition and Hand Tracking for Adaptive Assembly Instructions in Augmented Realitycited by 0
- 2026Evaluating Scene-based In-Situ Item Labeling for Immersive Conversational Recommendation6 Apr 2026
- 2026From Speech-to-Spatial: Grounding Utterances on A Live Shared View with Augmented Reality3 Feb 2026
- 2026SpeechLess: Micro-utterance with Personalized Spatial Memory-aware Assistant in Everyday Augmented Reality31 Jan 2026
- 2026Memento: Towards Proactive Visualization of Everyday Memories with Personal Wearable AR Assistant24 Jan 2026
- 2025Augmented Assembly: Object Recognition and Hand Tracking for Adaptive Assembly Instructions in Augmented Reality22 Nov 2025
- 2025PerfCam: Digital Twinning for Production Lines Using 3D Gaussian Splatting and Vision Models25 Apr 2025