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  1. Transactions on Modeling and Computer Simulation (TOMACS)
  2. ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 5
  3. Issue 3(Special issue on graphics, animation, and visualization for simulation environments), July 1995
  4. Visualizing real-time multivariate data using preattentive processing
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ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 27
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 26
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 25
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 24
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 23
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 22
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 21
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 20
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 19
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 18
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 17
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 16
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 15
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 14
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 13
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 12
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 11
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 10
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 9
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 8
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 7
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 6
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 5
Issue 4, Oct 1995
Issue 3(Special issue on graphics, animation, and visualization for simulation environments), July 1995
Graphical interactive simulation input modeling with bivariate Bézier distributions
Visualizing real-time multivariate data using preattentive processing
Production and playback of human figure motion for visual simulation
HCSM: a framework for behavior and scenario control in virtual environments
Issue 2, April 1995
Issue 1, Jan 1995
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 4
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 3
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 2
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 1

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ABSTRACT Visualizing Data with Motion

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Visualizing real-time multivariate data using preattentive processing

Content Provider ACM Digital Library
Author Enns, James T. Healey, Christopher G. Booth, Kellogg S.
Copyright Year 1995
Abstract A new method is presented for visualizing data as they are generated from real-time applications. These techniques allow viewers to perform simple data analysis tasks such as detection of data groups and boundaries, target detection, and estimation. The goal is to do this rapidly and accurately on a dynamic sequence of data frames. Our techniques take advantage of an ability of the human visual system called preattentive processing. Preattentive processing refers to an initial organization of the visual system based on operations believed to be rapid, automatic, and spatially parallel. Examples of visual features that can be detected in this way include hue, orientation, intensity, size, curvature, and line length. We believe that studies from preattentive processing should be used to assist in the design of visualization tools, especially those for which high speed target, boundary, and region detection are important. Previous work has shown that results from research in preattentive processing can be used to build visualization tools that allow rapid and accurate analysis of individual, static data frames. We extend these techniques to a dynamic real-time environment. This allows users to perform similar tasks on dynamic sequences of frames, exactly like those generated by real-time systems such as visual interactive simulation. We studied two known preattentive features, hue and curvature. The primary question investigated was whether rapid and accurate target and boundary detection in dynamic sequences is possible using these features. Behavioral experiments were run that simulated displays from our preattentive visualization tools. Analysis of the results of the experiments showed that rapid and accurate target and boundary detection is possible with both hue and curvature. A second question, whether interactions occur between the two features in a real-time environment, was answered positively.
Starting Page 190
Ending Page 221
Page Count 32
File Format PDF
ISSN 10493301
e-ISSN 15581195
DOI 10.1145/217853.217855
Volume Number 5
Issue Number 3
Journal ACM Transactions on Modeling and Computer Simulation (TOMACS)
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 1995-07-01
Publisher Place New York
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Boundary detection Cognitive psychology Curvature Hue Human vision Icon Multivariate data Preattentive Scientific visualization Target detection Visual interactive simulation
Content Type Text
Resource Type Article
Subject Computer Science Applications Modeling and Simulation
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