Code Red: Mobile, a live/synthetic test bed for firefighter training

Quinn, P 2014, Code Red: Mobile, a live/synthetic test bed for firefighter training, Doctor of Philosophy (PhD), Mathematical and Geospatial Sciences, RMIT University.


Document type: Thesis
Collection: Theses

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Title Code Red: Mobile, a live/synthetic test bed for firefighter training
Author(s) Quinn, P
Year 2014
Abstract The State of Victoria, Australia is prone to disastrous bushfires. The Country Fire Authority of Victoria is the principal bushfire response organisation. Local brigades of mainly volunteers learn how to fight fires through classroom learning and field exercises. The CODE RED: MOBILE test bed features Live/Synthetic elements, where ‘Live’ firefighters participate in an exercise where a virtual or ‘synthetic’ bushfire is delivered to them in the field on an iPad3 in the 7scenes game framework (7scenes.com). A model of the Hanging Rock Reserve, with a bushfire undergoing a wind change, was made in the Sandbox2 game editor (crytek.com). This was a model of the real world location of the exercise. Firefighters were divided into two groups: one group received the information about the bushfire’s progress as dynamic-static movies, and the other group saw static screenshots from the same movies. Both were annotated with further information. This media supported with maps and textual information, was delivered at the real world location of three stages of the bushfire undergoing a wind change at the Hanging Rock Reserve. This experiment showed that either form of media was suitable for training firefighters in a mobile learning and decision making exercise using a mobile device. The participants carried GPS and their movements were tracked. Spatio-temporal analysis was used to detect problems with the design of the exercise, and to find participants with aberrant behaviour or difficulties with the exercise. Fractal analysis of the tracks uncovered five Domains of Spatial Scale. Three of the domains at different spatial scales revealed where participants were walking through open areas in relatively straight paths, in another domain they had to find ways through gateways and over bridges, and at another they were meeting the boundaries of the exercise and turning sharply back, or recrossing their tracks. This data is valuable for the analysis and design Live/Synthetic exercises: at various spatial scales particular exercises can be made more difficult or easier to complete depending on the fitness or expertise of the participants. The research proposes that emergency organisations would benefit from Live/Synthetic exercises using mobile devices, for joint or individual training of firefighters and Incident Management Teams.
Degree Doctor of Philosophy (PhD)
Institution RMIT University
School, Department or Centre Mathematical and Geospatial Sciences
Keyword(s) Live/Synthetic training
dynamic-static
static media
spatio-temporal analysis
fractal analysis
firefighters
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Created: Fri, 30 May 2014, 17:22:50 EST by Maria Lombardo
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