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Modelling Perceptual Attention for Augmented Reality Agents  

Oh, Se-Jin (Department of Information and Communications, Gwangju Institute of Science and Technology)
Woo, Woon-Tack (Department of Information and Communications, Gwangju Institute of Science and Technology)
Publication Information
Journal of the Institute of Electronics Engineers of Korea CI / v.47, no.3, 2010 , pp. 51-58 More about this Journal
Abstract
Since Augmented Reality (AR) enables users to experience computer-generated content embedded in real environments, AR agents can be visualized among physical objects in the environments where the users exist, and directly interact with them in real-time. We model perceptual attention for autonomous agents in AR environments where virtual and physical objects coexist. Since such AR agents must adaptively perceive and attend to surrounded objects relevant to their goals, our model allows the agents to determine currently visible objects from the description of what virtual and physical objects are configured in the camera's viewing area. A degree of attention is assigned to each perceived object based on its relevance to achieve agents' goals. The agents can focus on a reduced set of perceived objects with respect to the estimated degree of attention. To demonstrate the effectiveness of our approach, we implemented an animated character that was overlaid over a miniature version of campus and that attended to buildings relevant to their goals. Experiments showed that our model could reduce the character's perceptual loads even when surroundings change.
Keywords
지능형 증강 현실 에이전트;합성 시각;지각 주위;에이전트 인지 모델링;
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Times Cited By KSCI : 1  (Citation Analysis)
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