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

In recent years, the development of Augmented Reality (AR) frameworks made AR application development widely accessible to developers without AR expert background. With this development, new application fields for AR are on the rise. This comes with an increased need for visualization techniques that are suitable for a wide range of application areas. It becomes more important for a wider audience to gain a better understanding of existing AR visualization techniques. In this article we provide a taxonomy of existing works on visualization techniques in AR. The taxonomy aims to give researchers and developers without an in-depth background in Augmented Reality the information to successively apply visualization techniques in Augmented Reality environments. We also describe required components and methods and analyze common patterns.

Extended overview techniques for outdoor augmented reality.

In this paper, we explore techniques that aim to improve site understanding for outdoor Augmented Reality (AR) applications. While the first person perspective in AR is a direct way of filtering and zooming on a portion of the data set, it severely narrows overview of the situation, particularly over large areas. We present two interactive techniques to overcome this problem: multi-view AR and variable perspective view. We describe in details the conceptual, visualization and interaction aspects of these techniques and their evaluation through a comparative user study. The results we have obtained strengthen the validity of our approach and the applicability of our methods to a large range of application domains.

Towards immersive and adaptive augmented reality exposure treatment.

In this paper we introduce a novel augmented reality based exposure therapy system for phobia treatment. This allows patients to see virtual fear stimuli overlaid onto the real world and to fully interact with them in real time. Extending on previous work, we focus on creating a controllable and interactive system (through gesture recognition and physiological sensors) with a visually realistic context. Our goal is a very life-like system that allows full parameterization over stimulus intensity and other factors necessary for an effective exposure therapy system.