Exploring scalable workspace based on virtual and physical movable wall

Sabah Boustila, Hao Zheng, Bai Shuxia, Kazuki Takashima, Yoshifumi Kitamura

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publication26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages862-863
Number of pages2
ISBN (Electronic)9781728113777
DOIs
Publication statusPublished - 2019 Mar
Event26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Osaka, Japan
Duration: 2019 Mar 232019 Mar 27

Publication series

Name26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings

Conference

Conference26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019
Country/TerritoryJapan
CityOsaka
Period19/3/2319/3/27

Keywords

  • Centered computing
  • Human
  • Visualization
  • Visualization design and evaluation methods

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