Publications

Our lab focuses on advancing research in data visualization, visual cognition, generative design, tangible computing, and data physicalization, aiming to explore innovative ways to interact with and understand complex data.

Google Scholar

Building with Data: Bridging Sources and Information Visualization

Carmen Hull. PhD Thesis. 2022.

Simultaneous Worlds: Supporting Fluid Exploration of Multiple Data Sets via Physical Models

Carmen Hull, Suren Kheradvar, Sheelagh Carpendale, Wesley Willett. Graphics Interface 2022 Conference. 2022.

Generative Design Inspiration for Glyphs with Dixtoms

Matthew Brehmer, Bongshin Lee, Fanny Chevalier, Catherine Plaisant, Carmen Hull. IEEE Transactions on Visualization and Computer Graphics. 2022.

Data Tectonics: A Framework for Building Physical and Immersive Data Representations

Carmen Hull, Wesley Willett. IEEE Computer Graphics and Applications. 2018.

Simultaneous worlds: Using physical models to contextualize and compose visualizations

Carmen Hull, Wesley Willett. Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, IEEE VIS Poster. 2018.

Building with data: Architectural models as inspiration for data physicalization

Carmen Hull, Wesley Willett. Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. 2017.

SurfaceMusic: Mapping Virtual Touch-based Instruments to Physical Models

Lawrence Fyfe, Sean Lynch, Carmen Hull, Sheelagh Carpendale. NIME. 2010.