Visualisation is not just a way of creating pretty pictures and “intuitive dashboards”.
It is not a magic wand that you can apply to your dataset to automatically turn a data mess into “actionable insights for transformative results”. Far from this wizardry, I argue that understanding data comes at the cost of interacting with it.
I will go through recent research projects I have worked on in recent years - ranging from manual reordering of matrices to active reading of visualisations to interaction discoverability to composite physicmlizations to direct manipulation of graphical encodings - to provide many angles on the topic of interaction in visualisation.
I will then synthesise this research in the context of my most recent work, in which we (attempt to) answer the question that every researcher in (and teacher of) visualisation is craving for: what is interaction for data visualisation?
About the Speaker:
Charles Perin is an Assistant Professor of Computer Science at the University of Victoria, where he co-leads the Victoria Interactive eXperiences with Information (\//X\) research group specialising in Human-Computer Interaction and Information Visualisation.
He and his students are particularly interested in designing and studying new interactions for visualisations and in understanding how people may make use of and interact with visualisations in their everyday lives; in designing visualisation tools for authoring personal visualisations and for exploring and communicating open data; in sports visualisation; and in visualisation beyond the desktop.
Before joining the University of Victoria in 2018, Charles was a Lecturer at City, University of London, before that a post-doctoral researcher at the University of Calgary, before that a PhD student at University Paris-Sud/INRIA, and long before that a kid in Brittany.
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