Record link: 
http://hdl.handle.net/20.500.12708/58014
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Title: 
Master of Disaster: Virtual-Reality Response Training in Disaster Management
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Citation: 
Kroesl, K., Steinlechner, H., Donabauer, J., Cornel, D., & Waser, J. (2019). Master of Disaster: Virtual-Reality Response Training in Disaster Management. In The 17th International Conference on Virtual-Reality Continuum and its Applications in Industry. VRCAI ’19 The 17th International Conference on Virtual-Reality Continuum and its Applications in Industry Article No. 49, Brisbane, Australia. ACM. https://doi.org/10.1145/3359997.3365729
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Publisher DOI: 
10.1145/3359997.3365729
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Kroesl, Katharina 
Steinlechner, Harald 
Donabauer, Johanna 
Cornel, Daniel 
Waser, Juergen 
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Organisational Unit: 
E193-02 - Forschungsbereich Computer Graphics 
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Published in: 
The 17th International Conference on Virtual-Reality Continuum and its Applications in Industry 
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ISBN: 
978-1-4503-7002-8
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Date (published): 
Nov-2019
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Event name: 
VRCAI '19 The 17th International Conference on Virtual-Reality Continuum and its Applications in Industry Article No. 49 
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Event date: 
14-Nov-2019 - 16-Nov-2019
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Event place: 
Brisbane, Australia
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Number of Pages: 
4
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Publisher: 
ACM, 49
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Publisher: 
Association for Computing Machinery, New York, NY, United States
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Peer reviewed: 
Yes
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Keywords: 
virtual reality; flood simulation; disaster training
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Abstract: 
To be prepared for flooding events, disaster response personnel has to be trained to execute developed action plans. We present a flood response training system which connects an interactive flood simulation with a VR client. The collaborative operator-trainee setup of our system allows a trainee to steer the remote simulation from within the virtual environment, evaluate the effectiveness of deployed protection measures, and compare the results across multiple simulation runs. An operator supervises the trainee's actions from a linked desktop application to provide assistance in complex tasks. The versatility of our system is demonstrated on four different city models.
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Research Areas: 
Visual Computing and Human-Centered Technology: 100%
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Science Branch: 
Informatik
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Appears in Collections:
Conference Paper

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