Investigation into Recording, Replay and Simulation of Interactions in Virtual Reality
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Author / Producer
Date
2024
Publication Type
Conference Paper
ETH Bibliography
yes
Citations
Altmetric
OPEN ACCESS
Data
Rights / License
Abstract
In this study, we introduce an authoring toolkit enabling both experts and trainees to record their actions in a virtual environment, streamlining the creation of training procedures and the evaluation of trainee actions. The toolkit was developed using two distinct methods: a state-based and an input-based approach. Within a virtual testing environment, we compared these methods across a range of interactions, focusing on three performance metrics: memory footprint, performance overhead, and replay accuracy. Contrary to initial predictions, the state-based method, after optimization, consumed less memory than the input-based approach. Both methods maintained low performance overheads during recording and replaying phases. Notably, the state-based approach achieved superior replay accuracy. In contrast, the input-based method displayed varying degrees of replay inaccuracies, partially attributable to the non-deterministic physics engine of the Unity development platform.
Permanent link
Publication status
published
External links
Editor
Book title
ICVARS '24: Proceedings of the 2024 8th International Conference on Virtual and Augmented Reality Simulations
Journal / series
Volume
Pages / Article No.
13 - 21
Publisher
Association for Computing Machinery
Event
8th International Conference on Virtual and Augmented Reality Simulation (ICVARS 2024)
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
Virtual Reality (VR); Authoring Toolkit; Recording; Information Exchange
Organisational unit
08844 - Kunz, Andreas (Tit.-Prof.) / Kunz, Andreas (Tit.-Prof.)