Collaborative visual analysis with multi-level information sharing using a wall-size display and see-through HMDs

Tianchen Sun, Yucong Ye, Issei Fujishiro, Kwan Liu Ma

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Citations (Scopus)

Abstract

Solving complex data analysis problems can often benefit a collaborative effort. For synchronous co-located collaboration, a well-recognized challenge is to deliver different contents to people with different privileges and different responsibilities. This challenge is becoming more obvious with the use of a shared display space such as a wall-size display. In particular, scenarios often arise that a privileged participant needs to access sensitive information that other participants are not permitted to view. This is nearly impossible to achieve with only a single display. As a result, it becomes clear that additional devices are needed to provide some of the participants the capability to access and manage certain information in a private space. In this work, we investigate incorporating optical see-through head-mounted displays (OST-HMDs) with a wall-size display to deliver sensitive information in a synchronous co-located, collaborative setting. With our prototype system, we conduct a user study to observe the collaboration styles under this unique setup. We also present the lessons learned by reflecting on the iterative design process of our prototype system.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE Pacific Visualization Symposium, PacificVis 2019
PublisherIEEE Computer Society
Pages11-20
Number of pages10
ISBN (Electronic)9781538692264
DOIs
Publication statusPublished - 2019 Apr
Event12th IEEE Pacific Visualization Symposium, PacificVis 2019 - Bangkok, Thailand
Duration: 2019 Apr 232019 Apr 26

Publication series

NameIEEE Pacific Visualization Symposium
Volume2019-April
ISSN (Print)2165-8765
ISSN (Electronic)2165-8773

Conference

Conference12th IEEE Pacific Visualization Symposium, PacificVis 2019
Country/TerritoryThailand
CityBangkok
Period19/4/2319/4/26

Keywords

  • Augmented reality
  • Collaborative visual analysis
  • Head mounted display
  • Privacy
  • Synchronous co located collaboration
  • Wall size display

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Software

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