Visualization Techniques in Augmented Reality: A Taxonomy, Methods and Patterns

Area of Science:

• Computer Science
• Human-Computer Interaction
• Visualization

Background:

• Augmented Reality (AR) frameworks have democratized application development.
• This has led to diverse AR applications and a growing need for effective visualization techniques.
• Understanding AR visualization is crucial for a broader audience.

Purpose of the Study:

• To provide a comprehensive taxonomy of existing Augmented Reality visualization techniques.
• To equip researchers and developers with knowledge for applying AR visualization.
• To analyze common patterns, components, and methods in AR visualization.

Main Methods:

• Literature review and analysis of existing Augmented Reality visualization techniques.
• Development of a structured taxonomy based on identified characteristics.
• Description of essential components and methods for AR visualization implementation.

Main Results:

• A structured taxonomy categorizing various AR visualization techniques.
• Identification of key components and methods commonly used in AR visualization.
• Analysis of prevalent patterns in the design and application of AR visualizations.

Conclusions:

• The developed taxonomy serves as a valuable resource for navigating AR visualization techniques.
• It empowers developers and researchers to effectively implement visualization in AR environments.
• This work facilitates broader adoption and innovation in Augmented Reality applications.