As datasets get larger, it has become increasingly important to manage visual attention and augment cognition. My research has focused on developing novel techniques to draw a viewer's attention to regions of interest in large datasets. These techniques are specifically designed to increase the efficient completion of tasks and to improve the user experience. In this talk, I will present my approaches to solving real-world problems in the fields of atmospheric physics, neurosurgery and mobile data visualization. Our techniques provide temporal context to atmospheric physicists for improved hurricane exploration. I will also present augmented visualization techniques for image-guided navigation during neurosurgery that have resulted in an increased accuracy and confidence among neurosurgeons as compared to the state-of-the-art. I will also present new work from our lab on foveated visualization for rapid exploration that addresses computational complexity when visualizing large datasets.
Speaker: Alark Joshi, Univ. of San Francisco
Contact:Website: Click to Visit
Cost:$10 General $5 IEEE, Free IEEE
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