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Information filtering for mobile augmented reality
Simon Julier (United States Naval Research Laboratory), Marco O. Lanzagorta (United States Naval Research Laboratory), Yohan Baillot (United States Naval Research Laboratory), L. J. Rosenblum (United States Naval Research Laboratory), Steven Feiner (Columbia University), Tobias Höllerer (Columbia University), S. Sestito (Defence Science and Technology Group)
Abstract: Augmented reality is a potentially powerful paradigm for annotating the (real) environment with computer-generated material. These benefits will be even greater when augmented reality systems become mobile and wearable. However, to minimize the problem of clutter and to maximize the effectiveness of the display, algorithms must be developed to select only the most important information for the user. In this paper, we describe a region-based information filtering algorithm. The algorithm takes account of the state of the user (location and intent) and the state of individual objects about which information can be presented. It can dynamically respond to changes in the environment and the user's state. We also describe how simple temporal, distance and angle cues can be used to refine the transitions between different information sets.