Transcript Wedge - Patrick Baudisch

Sean Gustafson
Patrick Baudisch
Carl Gutwin
Pourang Irani
wedge
clutter-free visualization of
off-screen locations
wedge
halo: clutter problem
2
wedge: avoids overlap
rel
ated
work
3
overviews
4
[Plaisant 95 and many others]
fisheye views
fisheye views
5
[Carpendale 01]
edgeradar
6
[Gustafson 07]
simple arrows
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[Tecmo Bowl 87]
scaled and stretched arrows
8
[Burigat 06]
city lights
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“space-efficient fisheye technique”
[Mackinlay 03]
halo
10
[Baudisch 03]
halo
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[Baudisch 03]
th
e
problem
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the problem: clutter
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the problem: clutter
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(also not great: corners)
side
corner
15
initial approaches
clustering
ovals
Baudisch & Rosenholtz
cut lines
Irani et al.
color
separate
visually
16
separate geometrically
• circles offer only a single degree of freedom:
radius (aka intrusion)
• in some cases varying allows resolving overlap,
in others it does not
• how can we get additional degrees of freedom?
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th
e
wedge
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wedge
base
target
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halo
20
wedge
3 degrees of freedom
intrusion
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aperture
rotation
avoiding overlap
rotation
intrusion
aperture
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lay
out
algorithm
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avoidance algorithm
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avoidance algorithm
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avoidance algorithm
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avoidance algorithm
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avoidance algorithm
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leaves 2 degrees
intrusion ~ distance
base-width ~ distance
29
wedge
demo
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ustudy
ser
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two interface conditions
halo and wedge
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task 1: locate
halo
33
same as original halo paper
wedge
task 2: closest
halo
34
same as original halo paper
wedge
task 3: avoid
halo
35
same as original halo paper
wedge
IV: density
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sparse
same as original halo paper
dense
= dense, remapped to bottom left corner
16 participants
37
hypotheses
1.wedge is more accurate
2.larger improvement in dense
condition
3.larger improvement in corners
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(no hypothesis about task time)
results
39
no significant difference in task time
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participants were significantly more accurate
when using the wedge
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error in pixels
Side
Halo
60
Wedge
40
20
0
Dense
42
Sparse
locate task
error in pixels
Side
Corner
Halo
60
Wedge
40
20
0
Dense
43
Sparse
Dense
Sparse
locate task
hypotheses
1.wedge is more accurate
2.larger improvement in dense
condition
3.larger improvement in corners
44
wedge=
uni
fied
pointing
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intrusion  0
citylights
46
aperture  0
stretched arrows
47
?
halo
48
distance information in corner
distance information along arc
round bases
49
aperture  360
halo
50
mod
eling
pointing
51
better layout than this?
?
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53
54
55
56
orbital
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58
intrusion
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intrusion
60
aperture
61
aperture
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rotation
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rotation
next steps
run user study with many users to determine
constants
write new layout algorithm
64
thanks
65
Sean Gustafson
http://www.gustaf.ca/
66
67
recent results
post-publication
20 more participants
Corner
Side
Error (pixels)
80
Halo
Wedge
60
40
20
0
Dense
68
Sparse
Dense
Sparse
locate task
recent results
post-publication
20 more participants
Corner
Side
Halo
Wedge
Error Rate
60%
40%
20%
0%
Dense
69
Sparse
Dense
Sparse
closest task