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Design Patterns for Situated Visualization in Augmented Reality.

Benjamin Lee, Michael Sedlmair, Dieter Schmalstieg

IEEE Transactions on Visualization and Computer Graphics

|October 26, 2023

Summary

This summary is machine-generated.

Situated visualization leverages augmented reality (AR) to display data near physical objects. This study identifies design patterns and guidelines for effective in-situ data visualization in AR environments.

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Area of Science:

Information Visualization
Human-Computer Interaction
Augmented Reality (AR)

Background:

Situated visualization, displaying data spatially close to its physical referent, is gaining traction due to AR advancements.
Traditional visualization lacks the unique design opportunities and challenges presented by physical contexts.
The augmented reality (AR) research community possesses extensive experience in designing graphics for physical environments.

Purpose of the Study:

To apply established AR research principles to the emerging field of situated visualization.
To derive and present a set of design patterns summarizing common methods for in-situ data visualization.
To provide practical guidelines for implementing situated visualization patterns within real-world constraints.

Main Methods:

Conducted a comprehensive survey of 293 research papers from both AR and visualization communities.
Synthesized findings with expert knowledge to identify and define design patterns for situated visualization.
Analyzed design dimensions to categorize patterns and existing literature, alongside developing practical application guidelines.

Main Results:

Identified and summarized key design patterns for visualizing data in situ within AR.
Defined critical design dimensions for describing situated visualization approaches.
Developed practical guidelines to aid designers in applying these patterns effectively in real-world scenarios.

Conclusions:

Established design patterns and guidelines offer a foundational framework for situated visualization in AR.
Further research is needed to fully understand interactivity, tasks, and workflows in situated visualization.
This work contributes to establishing a comprehensive understanding of situated visualization design principles.