1. wedge clutter-free visualization of off-screen locations
Sean Gustafson
Patrick Baudisch
Carl Gutwin
Pourang Irani
wedge
clutter-free visualization of
off-screen locations

2. wedge
halo: clutter problem
wedge: avoids overlap

3. rel
ated
work

4. overviews
[Plaisant 95 and many others]

5. fisheye views
fisheye views
[Carpendale 01]

6. edgeradar
[Gustafson 07]

7. simple arrows
[Tecmo Bowl 87]

8. scaled and stretched arrows
[Burigat 06]

9. city lights
“space-efficient fisheye technique”
[Mackinlay 03]

10. halo
[Baudisch 03]

11. halo
[Baudisch 03]

12. th e
problem

13. the problem: clutter

14. the problem: clutter

15. (also not great: corners)
side
corner

16. initial approaches clustering ovals cut lines color separate visually
Baudisch & Rosenholtz
Irani et al.
cut lines
color
separate visually

17. 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?

18. th e
wedge

19. wedge
base
base
base
base
leg
leg
target

20. halo
wedge

21. 3 degrees of freedom
intrusion
aperture
rotation

22. avoiding overlap
rotation
aperture
intrusion

23. lay
out
algorithm

24. avoidance algorithm

25. avoidance algorithm

26. avoidance algorithm

27. avoidance algorithm

28. avoidance algorithm

29. leaves 2 degrees
intrusion ~ distance
base-width ~ distance

30. wedge
demo

31. u
ser
study

32. two interface conditions
halo and wedge

33. same as original halo paper
task 1: locate
same as original halo paper
halo
wedge

34. same as original halo paper
task 2: closest
same as original halo paper
halo
wedge

35. same as original halo paper
task 3: avoid
same as original halo paper
halo
wedge

36. same as original halo paper = dense, remapped to bottom left corner
IV: density
sparse
dense
same as original halo paper
= dense, remapped to bottom left corner

37. 16 participants

38. hypotheses 1. wedge is more accurate
larger improvement in dense condition
larger improvement in corners
(no hypothesis about task time)

39. results

40. no significant difference in task time

41. participants were significantly more accurate when using the wedge

42. error in pixels
Side
Halo 60
Wedge 40 20
Dense
Sparse
locate task

43. error in pixels locate task Side Corner Halo 60 Wedge 40 20 Dense
Dense
Sparse
Dense
Sparse
locate task

44.   hypotheses 1. wedge is more accurate
larger improvement in dense condition
larger improvement in corners 

45. wedge=
uni
fied
pointing

46. intrusion  0
citylights

47. aperture  0
stretched arrows

48. ?
halo

49. round bases distance information in corner
distance information along arc
round bases

50. aperture  360
halo

51. mod
eling
pointing

52. better layout than this?

54. beam

55. beam

56. beam
beam

57. beam
orbital
beam

58. intrusion

59. intrusion

60. aperture

61. aperture

62. rotation

63. rotation

64. next steps run user study with many users to determine constants
write new layout algorithm

65. thanks
Sean Gustafson

68. recent results post-publication 20 more participants locate task
Corner
Side 80
Halo
Wedge 60
Error (pixels) 40 20
Dense
Sparse
Dense
Sparse
locate task

69. recent results post-publication 20 more participants closest task
Corner
Side
Halo
60%
Wedge
40%
Error Rate
20% 0%
Dense
Sparse
Dense
Sparse
closest task