Acquisition of Off-Screen Object by Predictive Jumping.

Autor: Takashima, Kazuki, Subramanian, Sriram, Tsukitani, Takayuki, Kitamura, Yoshifumi, Kishino, Fumio
Zdroj: Computer-human Interaction; 2008, p301-310, 10p
Abstrakt: 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. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index