The video recording can be found HERE
Wednesday September 30, 3:30pm — PAA 102
Wednesday September 30, 3:30pm — PAA 102
Visualization Analysis and Design
Tamara Munzner
Professor, University of British Columbia
ABSTRACT
Computer-based visualization (vis) systems provide visual
representations of datasets designed to help people carry out tasks
more effectively. Visualization is suitable when there is a need to
augment human capabilities rather than replace people with
computational decision-making methods. The design space of possible
vis idioms is huge, and includes the considerations of both how to
create and how to interact with visual representations. Vis design is
full of trade-offs, and most possibilities in the design space are
ineffective for a particular task, so validating the effectiveness of a
design is both necessary and difficult. Vis designers must take into
account three very different kinds of resource limitations: those of
computers, of humans, and of displays. Vis usage can be analyzed in
terms of why the user needs it, what data is shown, and how the idiom
is designed. I will discuss this framework for analyzing the design of
visualization systems.
BIO
Tamara Munzner is a professor at the University of British Columbia
Department of Computer Science, and holds a PhD from Stanford. She has
been active in visualization research since 1991 and has published
over sixty papers and book chapters. Her book Visualization Analysis
and Design appeared in 2014. She co-chaired InfoVis in 2003 and 2004,
co-chaired EuroVis in 2009 and 2010, and is chair of the VIS Executive
Committee. Her research interests include the development, evaluation,
and characterization of information visualization systems and
techniques. She has worked on problem-driven visualization in a broad
range of application domains, including genomics, evolutionary
biology, geometric topology, computational linguistics, large-scale
system administration, web log analysis, and journalism. Her
technique-driven interests include graph drawing and dimensionality
reduction. Her evaluation interests include both controlled
experiments in a laboratory setting and qualitative studies in the
field.