Virtual observation of virtual reality simulations

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Abstract

Unlike conventional desktop simulations which have constrained interaction, immersive Virtual Reality (VR) allows users to freely move and interact with objects. In this paper we discuss a work-in-progress system that 'virtually' records participants movement and actions within a simulation. This system recovers and rebuilds recorded data on request, accurately replaying individual participants motions and actions in the simulation. Observers can review this reconstruction using an unrestricted virtual camera and if necessary, observe changes from recorded input devices. Reconstruction of each participants' skeleton structure was created using tracked input devices. We conclude that our system offers detailed recreation of high-level knowledge and visual information of participant actions during simulations.
Original languageEnglish
Title of host publicationCHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
Subtitle of host publicationExtended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
Number of pages6
ISBN (Print)9781450359719
DOIs
Publication statusPublished - 2 May 2019
EventACM CHI Conference on Human Factors in Computing Systems: Weaving the Threads of CHI - Scottish Event Campus, Glasgow, United Kingdom
Duration: 4 May 20199 May 2019
http://chi2019.acm.org

Conference

ConferenceACM CHI Conference on Human Factors in Computing Systems
Abbreviated titleACM CHI 2019
CountryUnited Kingdom
CityGlasgow
Period4/05/199/05/19
Internet address

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Keywords

  • Virtual Reality
  • VR
  • Observing
  • Replaying
  • Reviewing
  • Simulations
  • Virtual Observation

Cite this

Howie, S. R., & Gilardi, M. (2019). Virtual observation of virtual reality simulations. In CHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems [LBW2710] Association for Computing Machinery. https://doi.org/10.1145/3290607.3312836