This research models automatic attention behaviour using a saliency model that generates plausible targets for combined gaze and head motions. The attention model was integrated into an OpenSG application and the open-source Second Life client. Studies in both systems demonstrated a promising attention model that is not just believable and realistic but also adaptable to varying task, without any prior knowledge of the virtual scene.

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