Research Cycles - PowerPoint PPT Presentation

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Research Cycles

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... highly refined techniques direct volume rendering generating isosurfaces marching cubes understanding fluid flow LIC Focus+Context navigation Closing The ... – PowerPoint PPT presentation

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Title: Research Cycles


1
Research Cycles
  • Tamara Munzner
  • University of British Columbia
  • Computer Science Dept, 2366 Main Mall
  • Vancouver BC V6T 1Z4 Canada
  • tmm_at_cs.ubc.ca

2
Research Cycles
Tamara Munzner, UBC
3
Application Domains
  • Application-driven research examples
  • computational fluid dynamics
  • medical imaging
  • telecommunications networks
  • software engineering

Tamara Munzner, UBC
4
Basic Research
  • Basic vis research examples
  • visual encoding
  • psychophysics
  • perception

Tamara Munzner, UBC
5
Transitional Research
  • Success stories so far highly refined techniques
  • direct volume rendering
  • generating isosurfaces
  • marching cubes
  • understanding fluid flow
  • LIC
  • FocusContext navigation

Tamara Munzner, UBC
6
Closing The Loop
  • Rewarding cross-cycle research
  • technique refinement necessary but not sufficient
  • design principles from basic research
  • evaluate whether applied problem is solved

Tamara Munzner, UBC
7
Evaluation
  • quantitative, qualitative, design studies
  • find other application areas where techniques are
    appropriate
  • understanding weaknesses to create better
    techniques for this problem
  • understanding strengths to refine principles of
    design

Tamara Munzner, UBC
8
Questions I
  • Is this characterization useful?
  • generic framework instantiated with specific
    examples
  • Definition of basic research
  • other fields than our own?
  • psychophysics, perception, graphics, etc
  • basic research in X is application problem in Y
  • or specific things within our own?
  • visual encoding what else?

Tamara Munzner, UBC
9
Questions II
  • Is emphasis on cross-cycle appropriate?
  • would reward structure for interdisciplinary
    collaboration help provide driving real-world
    problems, or hobble by imposing artificial
    top-down hoops to jump through?
  • important to change culture, or over the top?
  • should everybody be doing evaluation?

Tamara Munzner, UBC
10
Questions III
  • If appropriate, how to implement?
  • funding policy
  • emphasizing interdisciplinary collab as criterion
    for vis funding reviewers
  • encouraging divisions outside CS to fund vis
  • repositories of tasks/data
  • paper acceptance policy

Tamara Munzner, UBC
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