NDLI: Panel 2: In the Eye of the Beholder: The Role of Perception in Scientific Visualization

Content Provider	IEEE Xplore Digital Library
Author	Gaither, K. Ebert, D. Gaither, K. Geisler, B. Laidlaw, D.
Copyright Year	2004
Description	Author affiliation: University of Texas at Austin (Gaither, K.)
Abstract	The evolution of computational science over the last decade has resulted in a dramatic increase in raw problem solving capabilities. This growth has given rise to advances in scientific and engineering simulations that have put a high demand on tools for high-performance large-scale data exploration and analysis. These simulations have the potential to generate large amounts of data. Humans, however are relatively poor at gaining insight from raw numerical data, and as a result, have used visualization as a tool for understanding, interpreting and exploring data of all types and sizes. Allowing for efficient visual explorations of data, however, requires that the ratio of knowledge gained versus the cost of the visualization be maximized. This, in turn, mandates the integration of principles from human perception. Understanding perception as it relates to visualization requires that we understand not only the biology of the human visual system, but principles from vision theory, and perceptual psychology as well. This panel is the result of bringing together practioners and researchers from a broad spectrum of interests relating to the ability to maximize the amount of information that is effectively perceived from a given visualization. Position statements will be given by researchers interested in perceptual psychology and the perception of natural images, integrating art and design principles, non-photorealistic rendering techniques, and the use of global illumination methods to provide benefical perceptual cues.
Starting Page	567
Ending Page	568
File Size	62861
Page Count	2
File Format	PDF
ISBN	0780387880
DOI	10.1109/VISUAL.2004.77
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-10-10
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data visualization Humans Computational modeling Psychology Evolution (biology) Problem-solving Data engineering Analytical models Large-scale systems Data analysis human visual system perception visualization
Content Type	Text
Resource Type	Article

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