Evaluating navigation techniques for 3D graph visualizations in virtual reality

Adam Drogemuller, Andrew Cunningham, James Walsh, Maxime Cordeil, William Ross, Bruce H. Thomas

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

37 Citations (Scopus)


Research into how virtual reality (VR) can be a beneficial technology for new and emerging large, complex data visualizations for data scientists is ongoing. In this paper, we evaluate three-dimensional VR navigation technique for data visualizations and test their effectiveness with a large graph visualization. We evaluate two prominent navigation techniques employed in VR (Teleportation and One-Handed Flying) against two less common methods (Two-Handed Flying and Worlds In Miniature) and evaluate their performance and effectiveness through a series of tasks. We found Steering Patterns (One-Handed Flying and Two-Handed Flying) to be faster and preferred by participants for completing searching tasks in comparision to Teleportation. Worlds-In-Miniature was the least physically demanding of the navigations, and was preferred by participants for tasks that required an overview of the graph such as triangle counting.

Original languageEnglish
Title of host publication2018 International Symposium on Big Data Visual and Immersive Analytics (BDVA)
EditorsUlrich Engelke
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages10
ISBN (Electronic)9781538691946
ISBN (Print)9781538691953
Publication statusPublished - 2018
EventInternational Symposium on Big Data Visual and Immersive Analytics 2018 - Konstanz, Germany
Duration: 17 Oct 201819 Oct 2018
Conference number: 4th


ConferenceInternational Symposium on Big Data Visual and Immersive Analytics 2018
Abbreviated titleBDVA 2018
Internet address


  • navigation
  • virtual reality
  • visualization

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