Partitioning digital worlds: focal and peripheral awareness in multiple monitor use
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Semantic pointing: improving target acquisition with control-display ratio adaptation
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
International Journal of Human-Computer Studies - Special issue: Fitts law 50 years later: Applications and contributions from human-computer interaction
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Improving drag-and-drop on wall-size displays
GI '05 Proceedings of Graphics Interface 2005
Ninja cursors: using multiple cursors to assist target acquisition on large screens
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Evaluation of pointing performance on screen edges
AVI '08 Proceedings of the working conference on Advanced visual interfaces
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Can we beat the mouse with MAGIC?
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Seamless interaction using a portable projector in perspective corrected multi display environments
Proceedings of the 1st symposium on Spatial user interaction
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We describe the design and analysis of a Fitts' law experiment, conducted in a multiple-display environment (MDE), in which the physical gap between displays and the proximity of targets to the gap systematically varied. Participants achieved decreasing throughput values (a combined measure of movement time and accuracy in a target acquisition task) under increasing gap sizes. Participants likewise performed relatively poorly in tasks involving monitor crossing over all gap conditions, especially so when motion either originates or terminates very close to the gap. Both results could be considered surprising since in either case, the amount of mouse movement needed to successfully execute the task does not change based on physical gap size or a target's proximity to the edge. Fitts' law may underestimate the difficulty of movement tasks in MDEs.