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Related Experiment Videos

Of red planets and indigo computers: Mars database visualization as an example of platform downsizing.

M K Kaiser1, M J Montegut

  • 1NASA Ames Research Center, Moffett Field, California, USA. moose@eos.arc.nasa.gov

Behavior Research Methods, Instruments, & Computers : a Journal of the Psychonomic Society, Inc
|February 1, 1997
PubMed
Summary

Advancements in computer hardware and software have improved scientific visualization, making digital terrain model rendering more interactive and cost-effective. Human visual perception insights can guide future visualization design.

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Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc·1996

Area of Science:

  • Scientific Visualization
  • Computer Graphics
  • Digital Terrain Modeling

Background:

  • Significant progress in computer hardware and software over the past decade.
  • Need for effective visualization of complex scientific data, such as digital terrain models.

Purpose of the Study:

  • To examine the evolution of digital terrain model visualization using Viking orbiter data across four projects.
  • To demonstrate the impact of computational advancements on visualization cost and interactivity.
  • To explore the role of human visual perception in guiding visualization design.

Main Methods:

  • Analysis of four distinct visualization projects over the last decade.
  • Evaluation of computational performance improvements.
  • Consideration of database rendering trade-offs in graphical systems.
Keywords:
NASA Center ARCNASA Discipline Space Human Factors

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  • Integration of human visual perception principles.

    • Main Results:

    • Improved computational performance has reduced visualization costs and increased interactivity.
    • Intelligent design choices and trade-offs are still necessary in database rendering.
    • Human visual perception offers valuable guidance for visualization design decisions.

    Conclusions:

    • Technological advancements have democratized and enhanced scientific visualization.
    • Effective visualization design requires balancing computational capabilities with human perceptual understanding.
    • Future directions include novel hardware and software for visualization.