Abstract
In this paper, we present ‘Virtual Observation’ (VO) a software tool for contextual observation and assessment of user’s directly from within the virtual reality (VR) simulation framework. Unlike other recording systems, the VO system described in this paper focuses on recording and reconstructing VR user’s positional, rotational and input data to recreate the same experience the user had with a VR simulation. Different from animation-based approaches, VO records user inputs and reconstructs the simulation from them and the user positional data. Moreover, the system allows the broadcast of this information to a remote machine enabling remote live observation of the simulation. Datasets recorded by the system can be shared by exporting them as XML files or, optionally, into a standalone online application, such as browser WebGL, allowing researchers, developers and educators to share and review a VR user simulation through a free-moving camera using a web browser. In this paper, the consistency of the data generated from the software by the client, server and reconstructed datasets acquired during real-time live observations was evaluated. We conclude that this Virtual Observation software offers detailed reconstruction of low-level information and visual information of user actions during simulations for both live and offline observations. We envision that our system will be of benefit for researchers, developers and educators that work with VR applications.
| Original language | English |
|---|---|
| Article number | 004635 |
| Pages (from-to) | 447-460 |
| Number of pages | 14 |
| Journal | Virtual Reality |
| Volume | 25 |
| Early online date | 19 Aug 2020 |
| DOIs | |
| Publication status | Published - 19 Aug 2020 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- virtual reality
- VR
- observing
- assessing
- reviewing
- simulations
- live
- virtual observation
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Virtual observation of virtual reality simulations
Howie, S. R. & Gilardi, M., 2 May 2019, 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. Association for Computing Machinery, 6 p. LBW2710Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open AccessFile3 Link opens in a new tab Citations (Scopus)322 Downloads (Pure) -
Virtual reality training: observational assessment software
Howie, S. & Gilardi, M. (Contributor), 4 Nov 2019. 1 p.Research output: Contribution to conference › Poster
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