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Interactive Visual Data Exploration: A Multi-focus Approach

Interactive Visual Data Exploration: A Multi-Focus Approach Jian Zhao Doctor of Philosophy Graduate Department of Computer Science University of Toronto 2015 Recently, the amount of digital information available in the world has been growing at a tremendous rate. This huge, heterogeneous, and complicated data that we are continuously generating could be an incredible resource for us to seek insights and make informed decisions. For this knowledge extraction to be efficient, visual exploration of data is demanded in addition to fully automatic methods, because visual exploration can integrate the creativity, flexibility, and general experience of the human user into the sense-making process through interaction and visualization techniques. Due to the scale and complexity of data, robust conclusions are usually formed by coordinating many sub-regions in an information space, which leads to the approach of multi-focus visual exploration that allows browsing different data segments with multiple views and perspectives simultaneously. While prior research has proposed a myriad of information visualization techniques, there still lacks comprehensive understanding about how visual exploration can be facilitated by multi-focus interactive visualizations. This dissertation investigates issues and techniques of multi-focus visual exploration through five design studies, touching various types of data in a range of application domains.