Visualization by Demonstration is an interaction paradigm that
advocates for decreasing the level of formalism and fundamental knowledge required
for visual data exploration.
We propose learning models of visualization design from data
collected using graphical perception studies and build tools powered by the learned
models.
We define novel metrics and taxonomies for evaluating network
visualizations. We then assessed the effectiveness of different network visualizations using
these metrics.
On a series of projects, we worked on improving user interfaces for mobile
devices in various scenarios such as locating missing items, oral presentation, and
communication.
Dylan Cashman, Shah Rukh Humayoun, Florian Heimerl, Kendall Park,
Subhajit Das, John R Thompson, Bahador Saket, Abigail Mosca,
John Stasko, Alex Endert, Michael Gleicher, Remco Chang