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2013
Conference Paper
Titel
Evaluating multi-modal eye gaze interaction for moving object selection
Abstract
Moving object selection is a frequently occurring interaction task in expert video analysis. State-of-the-art, video analysts use the mouse as input device. As the selection of moving objects is more complex than the selection of static objects, particularly when objects move fast and unpredictable, using the mouse is less efficient than usual and induces more manual stress. In this contribution, multi-modal gaze-based interaction is proposed as an alternative interaction technique for moving object selection. In an experiment using an abstract moving circle scenario, the two gaze-based interaction techniques gaze + key press and liberal MAGIC pointing are compared to mouse interaction. Evaluation of both user performance and user satisfaction shows that at least the gaze + key press technique might be a promising interaction alternative for moving objects selection.