Exploring Scalable WorkSpace Based on Virtual and Physical Movable Wall
PubDate: August 2019
Teams: University of Toronto;Tohoku Daigaku
Writers: Sabah Boustila; Hao Zheng; Bai Shuxia; Kazuki Takashima; Yoshifumi Kitamura
We propose an approach for flexibly scalable workspace that changes viewer’s perceived size of the workspace by simulating a virtually movable wall on the real wall. We conducted an experiment comparing viewers depth estimates between extended workspace virtually and physically. Besides, we investigated walls motion effects; discrete wall motion or continuous wall motion. Distances were estimated verbally and using perceptual matching method. Verbal depth estimates were equivalent in the virtual extended workspace and the physical one, with a high accuracy (estimation errors were less than 5%). However, perceptual matching estimates were signicantly different between virtual and physical scaling. Overall, they were slightly overestimated. No difference of the motion effect was found. Our results clearly suggest the potential of the workspace scaling by just giving such visual impression of extended workspace using perspective projection technique.