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

wedge halo: clutter problem wedge: avoids overlap

ated work rel

overviews [Plaisant 95 and many others]

fisheye views fisheye views [Carpendale 01]

[Gustafson 07] edgeradar

simple arrows [Tecmo Bowl 87]

scaled and stretched arrows [Burigat 06]

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

[Baudisch 03] halo

[Baudisch 03] halo

e problem th

the problem: clutter

the problem: clutter

(also not great: corners) corner side

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

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

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?

e wedge th

leg leg target base base base base wedge

halo wedge

3 degrees of freedom rotation aperture intrusion

avoiding overlap intrusion rotation aperture

out algorithm lay

avoidance algorithm

avoidance algorithm

avoidance algorithm

avoidance algorithm

avoidance algorithm

leaves 2 degrees intrusion ~ distance base-width ~ distance

wedge demo

ser study u

two interface conditions halo and wedge

two interface conditions

halo and wedge

halo task 1: locate wedge same as original halo paper

halo task 2: closest wedge same as original halo paper

halo task 3: avoid wedge same as original halo paper

IV: density sparse dense

16 participants

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

1. wedge is more accurate

larger improvement in dense condition

larger improvement in corners

(no hypothesis about task time)

results

no significant difference in task time

no significant difference in task time

participants were significantly more accurate when using the wedge

participants were significantly more accurate when using the wedge

error in pixels 60 40 20 0 Sparse Dense Side Wedge Halo locate task

error in pixels Sparse Dense 60 40 20 0 Sparse Dense Side Corner Wedge Halo locate task

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

1. wedge is more accurate

larger improvement in dense condition

larger improvement in corners

fied pointing uni wedge=

intrusion  0 citylights

aperture  0 stretched arrows

? halo

round bases distance information in corner distance information along arc

halo aperture  360

eling pointing mod

better layout than this? ?

beam

beam

beam beam

orbital beam beam

intrusion

intrusion

aperture

aperture

rotation

rotation

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

run user study with many users to determine constants

write new layout algorithm

thanks Sean Gustafson http://www.gustaf.ca/

recent results post-publication 20 more participants locate task Sparse Dense Error (pixels) 80 60 40 20 0 Sparse Dense Side Corner Wedge Halo

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