Caroline Ziemkiewicz and Robert Kosara.
"Design Elements and the Perception of Information Structure."
IEEE
InfoVis Posters (2009). Best Poster.
Caroline Ziemkiewicz and Robert Kosara.
"Preconceptions and Individual Differences in Understanding Visual
Metaphors."
Computer Graphics Forum 28, 911-918 (2009).
Caroline Ziemkiewicz and Robert Kosara. “The Shaping of
Information by Visual Metaphors.”
My
thesis research is on the use of visual metaphors as a general framework
for understanding how visual structure affects visualization use.
I am also interested more
generally in the cognitive aspects of visualization use. For
example, how do different presentations of maps lead to different
conceptions of space? What does cognitive science imply for
interaction design? And how can we reconcile the visualization
community's ideas about insight with insight's definition in cognitive
science?
Remco Chang, Caroline
Ziemkiewicz, Tera Green, and William Ribarsky. “Defining Insight for
Visual Analytics.”
IEEE Computer Graphics and
Applications Viewpoints.
Apart from my theory and
experimental work, I try to bring a structural perspective to
visualization design and evaluation. Here are some of the design
and application projects to which I've contributed.
Robert Kosara, Caroline Ziemkiewicz, F.
Joseph Mako III, Jonathan Miles, and Kam Tin Seong.
"Parallel Sets in
the Real World: Three Case Studies."
IEEE InfoVis Discovery Exhibition (2009).
Dong Hyun Jeong, Caroline Ziemkiewicz, Brian
Fisher, William Ribarsky, and Remco Chang.
"iPCA:
An Interactive System for PCA-based Visual Analytics"
Computer Graphics Forum 28, 767–774 (2009).
Small Projects
Forked Parallel Sets
Blob
Networks
Mixed categorical and continous data to analyze dimensional
relationships
Categorical data as a network