A Study of Real-time Information on User Behaviors during Search and Rescue (SAR) Training of Firefighters

Shahin Doroudian, Zekun Wu, Weichao Wang, Alexia Galati, Aidong Lu
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引用次数: 1

Abstract

Search and rescue (SAR) is an essential skill for many first responders including firefighters. With the new development of technologies on environmental sensing, we are now equipped with the new capability of utilizing real-time information from a fire scene to assist SAR tasks. This work is to explore the effects of immersive maps, that collect information automatically from the environment including human and building structures, on user behaviors during SAR operations. We have developed a VR prototype system for SAR training with controlled fire scenes and information collections. We also designed and performed a user study focusing on the factors of information amount in an immersive map and danger degree of SAR tasks. We have summarized a set of user behaviors from our study, and captured their features with statistical data analysis. Our results confirm the advantages of real-time information for SAR tasks and differences of user behaviors under dangerous situations. Our results also demonstrate the potential of studying user behaviors with virtual training and deriving insights to design effective training programs.
消防员搜救训练中用户行为的实时信息研究
搜索和救援(SAR)是包括消防员在内的许多急救人员的基本技能。随着环境传感技术的新发展,我们现在具备了利用火灾现场的实时信息协助搜救任务的新能力。这项工作是探索沉浸式地图的影响,它自动从环境中收集信息,包括人类和建筑结构,在SAR操作期间对用户行为的影响。我们开发了一个虚拟现实原型系统,用于控制火灾场景和信息收集的搜救训练。我们还设计并进行了一项用户研究,重点关注沉浸式地图中的信息量和SAR任务的危险程度。我们从我们的研究中总结了一组用户行为,并通过统计数据分析捕捉了它们的特征。我们的研究结果证实了实时信息在SAR任务中的优势和危险情况下用户行为的差异。我们的研究结果也证明了通过虚拟培训来研究用户行为并获得设计有效培训计划的见解的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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