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Center for Nonlinear Studies |
Data is everywhere around us, becoming bigger and more complex every day. In many cases, purely automated and heuristic-driven approaches are insufficient to fully understand and explain this data. Interactive visualization can be a powerful technique in these scenarios, both by enabling advanced exploratory analysis for domain experts and by acting as a medium for data storytelling and user-guided learning. To provide insight, visual tools must combine effective (and sometimes novel) design representations, principles from human-computer interaction, and the capability to integrate sophisticated backend algorithms and action-based pipelines. In this talk, I will discuss examples from my own work across several applied domains on topics such as privacy preservation, VR-based education, collaborative analytics, and sensemaking within group discussions.
Host: Information Science and Technology Institute (ISTI)