Ideas Seminar – Visualization Center
Date: August 9, 2013
People use visualization tools
and techniques to compose information and derive insight from massive, dynamic,
ambiguous, and often conflicting data, detect the expected and discover the
unexpected, provide timely, defensible, and understandable assessments, and
communicate assessment effectively for action.The Charlotte Visualization
Center is a highly interdisciplinary center that applies interactive
visualization and visual analytics to a variety of large scale and complex
problems in science, engineering, healthcare, design, and many other
disciplines. When I visited to the Visualization Center, there are filled with interesting
devices such as interaction devices, 3D large wall display, and a large,
multiscreen stereoscopic projection system.
They showed us various examples
of visualization works. First of all, Professor Wenwen Dou talks about her
research interests in media analysis. Social media analysis aims to extract
insights from massive social media data. She attempts to explore big data approach
how the data is discussed and represented on Twitter. In addition, Professor
Zachary Justin Wartell and his Ph.D student research as full-bodied virtual
reality works are very fascinated me. But the most interesting research to me was
urban growth simulation application at Charlotte region using multi-touched
table.
When studying urban planning
system and characteristics of Malaysia in Korea, I felt the need visualized
materials to compare each region. The application they showed allow us to examine
the areas, what kind of growth has occurred there and possible to prediction. I
thought the need for visual analytics was driven by an ever increasing amount
of data to analyze; increasing complexity and uncertainty in the data; decreasing
amount of time to analyze the data. They present pretty clear ideas that what
makes very powerful can compare the relationship between targets they
want.
I think when each of us starts to
analyze data, we mostly conduct keyword searches again and again, until we find
something close to our information space to analyze. Today we fill our screens
with complex visuals including geospatial representations, detailed linked
diagrams, cluster maps, and many other representations. The situation is clear
and compelling; we are awaking to the need to visualization studies. Nevertheless
we need new methods, new technology, leading us into the next century.
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