patrick%20baudisch::alex%20zotov%20ed%20cutrell,%20ken%20hinckley%20microsoft%20research,%20tabletPC - PowerPoint PPT Presentation

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patrick baudisch::alex zotov ed cutrell, ken hinckley microsoft research, tabletPC – PowerPoint PPT presentation

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Title: patrick%20baudisch::alex%20zotov%20ed%20cutrell,%20ken%20hinckley%20microsoft%20research,%20tabletPC


1
starburst
  • patrick baudischalex zotoved cutrell, ken
    hinckleymicrosoft research, tabletPC

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summary
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intro
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small targets
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touch
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snap-to-target
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snap-to-target
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snap-to-target
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snap-to-target
voronoi
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cell
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plant
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3D
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foam
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art
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book
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bubble cursor
grossman and balakrishnan, CHI 05
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  • this works
  • for uniform target distribution

great
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  • this works
  • for uniform target distribution

great
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map locations
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charts
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icons
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links
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handles
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uniform layoutsare the exception
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voronoi
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starburst
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test
bed
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walk
through
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10,000 foot view
  1. identify clusters
  2. route claim lines
  3. tessellate

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O(?)
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Onion peeling O(N log(n)) Preparata Shamos 85
Voronoi O(n log(n)) plane sweep
algorithm Fortune Algorithm
RoutingWorst case n/3 O(n)
Voronoi O(n log(n)) Fortune Algorithm
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samples
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tight cluster
loose
uniform
Voronoi
Starburst
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5 targets
tight cluster
loose
uniform
Voronoi
Starburst
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10 targets
tight cluster
loose
uniform
Voronoi
Starburst
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15 targets
tight cluster
loose
uniform
Voronoi
Starburst
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multi cluster
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Voronoi
Starburst
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visuals
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bubble
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bubble
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starburst
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  • this wont work until pointer over tile (how to
    find the tile in the first place?)
  • we need the oppositelet user point to target?
    system shows matching tile

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  • if layout not sensitive to clutter
  • (or no hover)

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? multiblending
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design iteration
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move boundaries
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movepixels
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claim lines!
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straight claim lines
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multi-segment claim lines
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2 studies
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why?
  • 1. doesnt starburst make targets larger
  • no, starburst redistributes space(higher
    median, same mean)
  • 2. isnt balanced layout obviously better
  • yes, balanced is betterbut targets also get
    thinner

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task
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task1
start button
target
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task2
start button
target
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3 densities uniform, loose, tight
3 target counts
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2 interfaces
voronoi
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starburst
  • 5 layouts 900 trials
  • 12 participants

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study2
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extend
conclude
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corners
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corners
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many
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conclusion
  • do not rely on uniform target distribution

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thanks!
? patrickbaudisch.com
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end
patrickbaudisch.com
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related
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target handles
powerpoint
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target handles
worden et al, CHI 97
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target handles
sears et al
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target handles
mcguffin et al
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labels
plaisant faikete, CHI 99
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labels
bell et al, UIST 01
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