Speed-dependent automatic zooming for browsing large documents
UIST '00 Proceedings of the 13th annual ACM symposium on User interface software and technology
Quantitative analysis of scrolling techniques
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Halo: a technique for visualizing off-screen objects
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Predictive interaction using the delphian desktop
Proceedings of the 18th annual ACM symposium on User interface software and technology
Improving selection of off-screen targets with hopping
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of Graphics Interface 2010
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We propose predictive jumping (PJ), a fast and efficient algorithm that enables user navigation to off-screen targets. The algorithm is inspired by Delphian Desktop [1] and the off-screen visualization technique---Halo [2]. The Halos represented at the edge of the viewport help users estimate off-screen target distance and encourage them to make a single fluid mouse movement toward the target. Halfway through the user's motion, the system predicts the user's intended target and quickly moves the cursor towards that predicted off-screen location. In a pilot study we examine the user's ability to select off-screen targets with predictive models based on user's pointing kinematics for off-screen pointing with Halo. We establish a linear relationship between peak velocity and target distance for PJ. We then conducted a controlled experiment to evaluate PJ against other Halo-based techniques, Hop [8] and Pan with Halo. The results of the study highlight the effectiveness of PJ.