The “prince” technique: Fitts' law and selection using area cursors
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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
Testing pointing device performance and user assessment with the ISO 9241, Part 9 standard
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Augmented surfaces: a spatially continuous work space for hybrid computing environments
Proceedings of the SIGCHI conference on Human Factors in Computing 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
Sharing and building digital group histories
CSCW '02 Proceedings of the 2002 ACM conference on Computer supported cooperative work
Human on-line response to target expansion
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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
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
TractorBeam: seamless integration of local and remote pointing for tabletop displays
GI '05 Proceedings of Graphics Interface 2005
Bubble radar: efficient pen-based interaction
Proceedings of the working conference on Advanced visual interfaces
Integrating Point and Touch for Interaction with Digital Tabletop Displays
IEEE Computer Graphics and Applications
Direct-touch vs. mouse input for tabletop displays
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Seconds matter: improving distributed coordination bytracking and visualizing display trajectories
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Shadow reaching: a new perspective on interaction for large displays
Proceedings of the 20th annual ACM symposium on User interface software and technology
Speech-filtered bubble ray: improving target acquisition on display walls
Proceedings of the 9th international conference on Multimodal interfaces
Starburst: a target expansion algorithm for non-uniform target distributions
AVI '08 Proceedings of the working conference on Advanced visual interfaces
Haptic feedback in remote pointing
CHI '09 Extended Abstracts on Human Factors in Computing Systems
INTERACT'07 Proceedings of the 11th IFIP TC 13 international conference on Human-computer interaction
Target assistance for subtly balancing competitive play
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Pointable: an in-air pointing technique to manipulate out-of-reach targets on tabletops
Proceedings of the ACM International Conference on Interactive Tabletops and Surfaces
Analysis and comparison of target assistance techniques for relative ray-cast pointing
International Journal of Human-Computer Studies
Hi-index | 0.00 |
This paper presents a comparison of several selection aids to improve pointing input on tabletop displays. Our previous research explored the TractorBeam–a hybrid point-touch interaction technique for tabletop displays. We found that while pointing input was preferred (over touch) by users of tabletop displays, it was slower for small distant targets. Drawing from previous work on improving target acquisition for desktop displays, we developed and tested three selection aids to improve pointing selection of small distant targets on tabletop displays: expanding the cursor, expanding the target, and snapping to the target. Our experiments revealed that all three aids resulted in faster selection times than no selection aid at all, with snapping to the target being the fastest. Additionally, participants liked snapping to the target better than the other selection aids and found it to be the most effective for selecting targets.