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Date post: 19-Jan-2016
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Sean Gustafson Patrick Baudisch Carl Gutwin Pourang Irani. wedge. clutter-free visualization of off-screen locations. wedge. halo: clutter problem. wedge: avoids overlap. rel. ated. work. overviews. [Plaisant 95 and many others]. fisheye views. - PowerPoint PPT Presentation
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wedge Sean Gustafson Patrick Baudisch Carl Gutwin Pourang Irani clutter-free visualization of o
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Page 1: wedge

wedge

Sean GustafsonPatrick BaudischCarl GutwinPourang Irani

clutter-free visualization of off-screen locations

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2

wedge

halo: clutter problem wedge: avoids overlap

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3

atedworkrel

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4

overviews

[Plaisant 95 and many others]

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5

fisheye views

fisheye views

[Carpendale 01]

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6 [Gustafson 07]

edgeradar

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7

simple arrows

[Tecmo Bowl 87]

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8

scaled and stretched arrows

[Burigat 06]

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9

“space-efficient fisheye technique”city lights

[Mackinlay 03]

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10 [Baudisch 03]

halo

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11 [Baudisch 03]

halo

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12

eproblemth

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13

the problem: clutter

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14

the problem: clutter

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corner

(also not great: corners)

side

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16

cut lines color

ovalsclustering

Irani et al.Baudisch & Rosenholtz

initial approaches

separatevisually

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17

• 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?

separate geometrically

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18

ewedgeth

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19

leg

legtarget

basebasebasebasewedge

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halo wedge

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21

3 degrees of freedom

rotationapertureintrusion

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avoiding overlap

rotation

aperture

intrusion

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23

outalgorithmlay

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avoidance algorithm

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25

avoidance algorithm

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26

avoidance algorithm

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27

avoidance algorithm

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28

avoidance algorithm

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29

leaves 2 degrees

intrusion ~ distance

base-width ~ distance

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30

wedgedemo

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31

serstudyu

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32

two interface conditions

halo and wedge

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halo

task 1: locate

wedge

same as original halo paper

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34

halo

task 2: closest

wedge

same as original halo paper

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35

halo

task 3: avoid

wedge

same as original halo paper

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36

IV: density

sparse dense

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37

16 participants

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38

1.wedge is more accurate

2.larger improvement in dense condition

3.larger improvement in corners

(no hypothesis about task time)

hypotheses

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39

results

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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

60

40

20

0SparseDense

Side

Wedge

Halo

locate task

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error in pixels

SparseDense

60

40

20

0SparseDense

Side Corner

Wedge

Halo

locate task

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44

1.wedge is more accurate

2.larger improvement in dense condition

3.larger improvement in corners

hypotheses

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45

fiedpointinguniwedge=

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46

intrusion 0

citylights

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47

aperture 0

stretched arrows

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48

?halo

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round bases

distance information in corner distance information along arc

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50

halo

aperture 360

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51

elingpointingmod

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52

better layout than this?

?

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53

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54

beam

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55

beam

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56

beam

beam

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57

orbitalbeam

beam

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58 intrusion

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59 intrusion

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60 aperture

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61 aperture

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62 rotation

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63 rotation

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64

run user study with many users to determine constants

write new layout algorithm

next steps

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65

thanksSean Gustafson

http://www.gustaf.ca/

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66

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67

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68

recent results

post-publication20 more participants

locate task

SparseDense

Err

or (

pixe

ls)

80

60

40

20

0SparseDense

SideCorner

Wedge

Halo

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69

recent results

post-publication20 more participants

SparseDense

Err

or R

ate

60%

40%

20%

0%SparseDense

SideCorner

WedgeHalo

closest task


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