Visualizing Off-Screen Locations on Small Mobile Displays Sean Gustafson master of science thesis defense Dec 15 / 2008.

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Presentation transcript:

Visualizing Off-Screen Locations on Small Mobile Displays Sean Gustafson master of science thesis defense Dec 15 / 2008

2 off-screen viz f overviewarrowshalo

3 ated work rel

4 overviews [Plaisant 95 and many others]

5 fisheye views [Carpendale 01]

6 simple arrows [Tecmo Bowl 87]

7 scaled and stretched arrows [Burigat 06]

8 [Gustafson 07] edgeradar

9 [Baudisch 03] halo

10 [Baudisch 03] halo

11 the problem: clutter

12 the problem: clutter

13 corner (also not great: corners) side

14 cut linescolor ovalsclustering Irani et al. Baudisch & Rosenholtz initial approaches separate visually

15 e wedge th

16 leg target base wedge

17 halowedge

18 3 degrees of freedom rotation base length intrusion

19 avoiding overlap rotation base length intrusion

20 out algorithm lay

21 avoidance algorithm

22 avoidance algorithm

23 avoidance algorithm

24 avoidance algorithm

25 avoidance algorithm

26 leaves 2 degrees intrusion ~ distance base-width ~ distance

27 ser study u

28 two interface conditions halo and wedge

29 halo task 1: locate wedge same as original halo paper

30 halo task 2: closest wedge same as original halo paper

31 halo task 3: avoid wedge same as original halo paper

32 IV: density sparsedense

33 IV: corner side corner

34 36 participants

35 1.wedge is more accurate 2.larger improvement in dense condition 3.larger improvement in corners (no hypothesis about task time) hypotheses

36 results

37 participants were significantly more accurate when using the wedge

38 error in pixels locate task Error (pixels) SparseDense Side Wedge Halo 80

39 error in pixels locate task Error (pixels) SparseDense Side Wedge Halo 80 Corner SparseDense

40 other results no interesting results from the other tasks or from completion time.

41 other results WedgeHaloNo Preference Locate25101 Avoid21132 Closest18144 preferences

42 1.wedge is more accurate 2.larger improvement in dense condition 3.larger improvement in corners hypotheses

43 eling pointing mod

44

45 beam

46 beam

47 beam

48 orbital beam

49 intrusion

50 intrusion

51 aperture

52 aperture

53 rotation

54 rotation

55 experiment to gather accuracy data data collection

56 experiment to gather accuracy data data collection distance legLength1 legLength2 baseLength

57 results Depth Error Distance Breadth Error

58 results Depth Error bias length width

59 results - bias

60 results - length

61 minimizing errors choose smallest base and leg length that still maintains small orbital and low bias base length of at least 50px, 100px for longer distances a large leg length (above 8px) does not result in smaller orbital avoid heavily rotating wedges

62 conclusion

63 1.summary of existing techniques and criteria for evaluating them 2.introduction of Wedge 3.introduction of the concept of degrees of freedom and dynamic layout 4.evaluation of Wedge 5.preliminary model contributions

64 thanks

65

66 IV: density sparse dense

67

68 correcting errors

69 correcting errors

70

71 fied pointing uni wedge=

72 intrusion  0 citylights

73 aperture  0 stretched arrows

74 ? halo

75 round bases distance information in cornerdistance information along arc

76 halo aperture  360

77

78 locate task SparseDense Error (pixels) SparseDense SideCorner Wedge Halo 80 SparseDense Time (ms) SparseDense SideCorner Wedge Halo 0 full results

79 avoid task full results SparseDense Error Rate % SparseDense Wedge Halo SideCorner Time (ms) SideCorner Wedge Halo SparseDenseSparseDense

80 closest task full results SparseDense Error Rate % SparseDense Wedge Halo SideCorner SparseDense Time (ms) SparseDense SideCorner Wedge Halo

81