Acquisition of Off-Screen Object by Predictive Jumping

Kazuki Takashima, Sriram Subramanian, Takayuki Tsukitani, Yoshifumi Tsukitani, Fumio Kishno

Research output: Contribution to journalArticle (Academic Journal)peer-review

1 Citation (Scopus)


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.
Translated title of the contributionAcquisition of Off-Screen Object by Predictive Jumping
Original languageEnglish
Pages (from-to)301-310
JournalLecture Notes in Computer Science
Publication statusPublished - 2008

Bibliographical note

ISBN: 9783540705840
Publisher: Springer Berlin / Heidelberg
Name and Venue of Conference: Lecture Notes in Computer Science - Computer-Human Interaction
Other identifier: 2000955


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