no code implementations • 25 Feb 2024 • Matt-Heun Hong, Zachary N. Sunberg, Danielle Albers Szafir
In an evaluation with twelve scientists, we found that Cieran effectively modeled user preferences to rank colormaps and leveraged this model to create new quality designs.
no code implementations • 1 Aug 2023 • Hyeon Jeon, Ghulam Jilani Quadri, Hyunwook Lee, Paul Rosen, Danielle Albers Szafir, Jinwook Seo
In this research, we study perceptual variability in conducting visual clustering, which we call Cluster Ambiguity.
no code implementations • 12 Aug 2022 • Matt-Heun Hong, Lauren A. Marsh, Jessica L. Feuston, Janet Ruppert, Jed R. Brubaker, Danielle Albers Szafir
Scholastic demonstrates how human-centered algorithm design and visualizations employing familiar metaphors can support inductive and interpretive research methodologies through interactive topic modeling and document clustering.