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Augmented Reality Navigation: A Survey
Hudson Lynam1, Sergiu Dascalu1, Eelke Folmer1
1Department of Computer Science and Engineering, University of Nevada, Reno, USA.
International Journal of Human-Computer Interaction
|August 26, 2025
Summary
Augmented Reality (AR) navigation solutions use visualizations to guide users. This paper presents a framework to analyze AR navigation systems, identifying research trends and future directions.
Area of Science:
- Human-Computer Interaction
- Computer Vision
- Spatial Cognition
Background:
- Human navigation is complex and prone to errors.
- Augmented Reality (AR) offers potential for intuitive navigation aids.
- Existing AR navigation solutions lack a unified categorization.
Purpose of the Study:
- To survey and categorize existing Augmented Reality navigation solutions.
- To propose a novel framework for understanding AR navigation systems.
- To identify research trends, challenges, and future opportunities in AR navigation.
Main Methods:
- Literature review of AR navigation systems with visualization elements.
- Development of a holistic framework inspired by the Model-View-Controller (MVC) pattern.
- Analysis of surveyed solutions using the proposed framework.
Main Results:
- Categorization of AR navigation solutions based on visualization strategies.
- Identification of common design patterns and functionalities.
- Analysis of research gaps and emerging trends in AR-assisted navigation.
Conclusions:
- A structured framework aids in understanding the diverse landscape of AR navigation.
- Visualization is key in AR systems for effective user guidance.
- Further research is needed in areas such as user adaptation and real-world deployment challenges.
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