Making computers easier for older adults to use: area cursors and sticky icons
Proceedings of the ACM SIGCHI Conference on Human factors in computing systems
Pick-and-drop: a direct manipulation technique for multiple computer environments
Proceedings of the 10th annual ACM symposium on User interface software and technology
Shuffle, throw or take it! working efficiently with an interactive wall
CHI 98 Cconference Summary on Human Factors in Computing Systems
ACM Transactions on Computer-Human Interaction (TOCHI) - Special issue on human-computer interaction with mobile systems
DiamondTouch: a multi-user touch technology
Proceedings of the 14th annual ACM symposium on User interface software and technology
Acquisition of expanding targets
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Synchronous gestures for multiple persons and computers
Proceedings of the 16th annual ACM symposium on User interface software and technology
Multi-finger and whole hand gestural interaction techniques for multi-user tabletop displays
Proceedings of the 16th annual ACM symposium on User interface software and technology
Semantic pointing: improving target acquisition with control-display ratio adaptation
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Stitching: pen gestures that span multiple displays
Proceedings of the working conference on Advanced visual interfaces
Object pointing: a complement to bitmap pointing in GUIs
GI '04 Proceedings of the 2004 Graphics Interface Conference
The bubble cursor: enhancing target acquisition by dynamic resizing of the cursor's activation area
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The vacuum: facilitating the manipulation of distant objects
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A comparison of techniques for multi-display reaching
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Experimental analysis of mode switching techniques in pen-based user interfaces
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
"Beating" Fitts' law: virtual enhancements for pointing facilitation
International Journal of Human-Computer Studies - Special issue: Fitts law 50 years later: Applications and contributions from human-computer interaction
Improving drag-and-drop on wall-size displays
GI '05 Proceedings of Graphics Interface 2005
TractorBeam selection aids: improving target acquisition for pointing input on tabletop displays
INTERACT'05 Proceedings of the 2005 IFIP TC13 international conference on Human-Computer Interaction
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
One-handed touchscreen input for legacy applications
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
INTERACT'07 Proceedings of the 11th IFIP TC 13 international conference on Human-computer interaction
ThumbSpace: generalized one-handed input for touchscreen-based mobile devices
INTERACT'07 Proceedings of the 11th IFIP TC 13 international conference on Human-computer interaction
Gesture select:: acquiring remote targets on large displays without pointing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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The rapid increase in display sizes and resolutions has led to the re-emergence of many pen-based interaction systems like tabletop and wall display environments. Pointing in these environments is an important task, but techniques have not exploited the manipulation of control and display parameters to the extent seen in desktop environments. We have overcome these in the design of a new pen-based interaction technique -- Bubble Radar. Bubble Radar allows users to reach both specific targets and empty space, and supports dynamic switching between selecting and placing. The technique is based on combining the benefits of a successful pen-based pointing technique, the Radar View, with a successful desktop object pointing technique -- the Bubble Cursor. We tested the new technique in a user study and found that it was significantly faster than existing techniques, both for overall pointing and for targeting specific objects.