Fitts' law as a performance model in human-computer interaction
Fitts' law as a performance model in human-computer interaction
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
"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
Proxy-based selection for occluded and dynamic objects
SG'11 Proceedings of the 11th international conference on Smart graphics
Moving target selection in 2D graphical user interfaces
INTERACT'11 Proceedings of the 13th IFIP TC 13 international conference on Human-computer interaction - Volume Part II
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
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Moving targets are found in numerous applications such as computer games, air traffic control systems, and video surveillance. The selection of moving targets is considerably more difficult and error prone than traditional stationary target selection. In this paper, we introduce Comet Tails and Target Lock, two techniques that support the selection of moving targets. Our goal is to facilitate accurate and fast selection of moving targets. We compare our two techniques to unassisted selection in a controlled experiment. The results show that for moving target selection, Comet Tails and Target Lock can outperform unassisted selection, and result in fewer errors. According to post-experiment questionnaires, participants indicate a stronger preference for assisted target selection with Comet Tails and Target Lock than unassisted selection.