Paper Info
Title
Escape: a target selection technique using visually-cued gestures
Abstract
Many mobile devices have touch-sensitive screens that people interact with using fingers or thumbs. However, such interaction is difficult because targets become occluded, and because fingers and thumbs have low input resolution. Recent research has addressed occlusion through visual techniques. However, the poor resolution of finger and thumb selection still limits selection speed. In this paper, we address the selection speed problem through a new target selection technique called Escape. In Escape, targets are selected by gestures cued by icon position and appearance. A user study shows that for targets six to twelve pixels wide, Escape performs at a similar error rate and at least 30% faster than Shift, an alternative technique, on a similar task. We evaluate Escape's performance in different circumstances, including different icon sizes, icon overlap, use of color, and gesture direction. We also describe an algorithm that assigns icons to targets, thereby improving Escape's performance.
Year
DOI
Venue
2008
10.1145/1357054.1357104
CHI
Keywords
Field
DocType
thumb selection,selection speed,different circumstance,new target selection technique,visually-cued gesture,icon position,alternative technique,low input resolution,different icon size,selection speed problem,poor resolution,mobile device,error rate
Computer vision,Thumb,Icon,Gesture,Computer science,Word error rate,Cued speech,Speech recognition,Mobile device,Pixel,Artificial intelligence
Conference
Citations 
PageRank 
References 
63
2.57
15
Authors
4
Name
Order
Citations
PageRank
Koji Yatani178346.02
Kurt Partridge247529.14
Marshall Bern31642229.86
Mark W. Newman41756138.40