Visualizing natural environments from data in virtual reality: Combining realism and uncertainty

Jiawei Huang, Melissa S. Lucash, Mark B. Simpson, Casey Helgeson, Alexander Klippel

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

2 Scopus citations

Abstract

Understanding complex scientific data visualizations in 2D can be challenging. Virtual Reality (VR) provides an alternative, combining realistic 3D representations with intuitive, natural interactions with data through embodied experiences. However, realistic 3D representations and associated immersive experiences are prone to misrepresentations as they are selectively representative and often leave little room for abstraction. This is particularly challenging for topics such as modeling natural environments where users value realism. We discuss the causes and categories of potential misrepresentations in VR with a particular focus on scientific visualization. We contextualize our discussion by presenting an application prototype that translates ecological model output data into a high-fidelity VR experience that allows users to walk through forests of the future. We also designed and implemented two methods to display uncertainties in high-fidelity VR environments: A multi-scenarios approach to provide users access to alternative scenarios, and a slide-and-show approach to view the environment within the confidence interval.

Original languageEnglish (US)
Title of host publication26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1485-1488
Number of pages4
ISBN (Electronic)9781728113777
DOIs
StatePublished - Mar 2019
Event26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Osaka, Japan
Duration: Mar 23 2019Mar 27 2019

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
CountryJapan
CityOsaka
Period3/23/193/27/19

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Media Technology

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