Enhancing Sand-Table-Based Incident Command Training With Extended Reality and Interactive Simulations: A Use Case in Forest Firefighting

IF 4.9 3区 教育学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS IEEE Transactions on Learning Technologies Pub Date : 2025-02-24 DOI:10.1109/TLT.2025.3545436
Lorenzo Valente;Federico De Lorenzis;Davide Calandra;Fabrizio Lamberti
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Abstract

In recent years, first responders have faced increasing challenges in their operations, highlighting a growing need for specialized and comprehensive training. In particular, the firefighting incident commanders (ICs) are playing a pivotal role, providing directions to field operators and making critical decisions in emergency situations. Over time, traditional training tools in this field have evolved, reaching their pinnacle with augmented sand tables (ASTs). ASTs build on spatial augmented reality (SAR), a form of extended reality (XR) that utilizes projections. Although ASTs enable large-scale visualization of the morphological features of the terrain, by relying solely on SAR, it is not possible to fully leverage the potential of XR, which is increasingly recognized as a powerful tool for training. This work introduces a novel approach to training ICs by integrating ASTs with XR, incorporating a learning-by-doing methodology alongside an objective measurement of trainees' performance. To this end, an XR training system (XRTS) has been developed, combining the capabilities of an AST with personal mixed reality devices and integrating a physically accurate interactive fire simulator. This system was deployed within a forest firefighting IC training course. All the system components were designed based on the theoretical foundations of decision making to effectively develop the necessary skills. The proposed approach was compared with traditional AST-based training methods for these roles, focusing on the analysis of learning outcomes, user experience, usability, and cognitive load. The study demonstrated several advantages associated with the use of the XRTS, including improvements in training effectiveness and a notable reduction in overall cognitive load.
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用扩展现实和交互模拟增强基于沙盘的事故指挥训练:森林消防用例
近年来,急救人员在行动中面临越来越多的挑战,这凸显了对专业和全面培训的日益增长的需求。特别是,消防事故指挥官(ic)发挥着关键作用,向现场操作员提供指示,并在紧急情况下做出关键决策。随着时间的推移,这一领域的传统培训工具也在不断发展,并随着增强型沙盘(ast)达到了顶峰。ast建立在空间增强现实(SAR)基础上,这是一种利用投影的扩展现实(XR)形式。尽管ast能够实现地形形态特征的大规模可视化,但仅依靠SAR,不可能充分利用XR的潜力,XR越来越被认为是一种强大的训练工具。这项工作引入了一种通过将ast与XR相结合来培训ic的新方法,结合了边做边学的方法以及对受训者绩效的客观测量。为此,开发了XR训练系统(XRTS),将AST的功能与个人混合现实设备相结合,并集成了物理精确的交互式火灾模拟器。该系统已在森林消防集成电路培训课程中部署。所有系统组件都基于决策的理论基础进行设计,以有效地培养必要的技能。将该方法与传统的基于ast的角色培训方法进行了比较,重点分析了学习结果、用户体验、可用性和认知负荷。该研究证明了使用XRTS的几个优势,包括提高训练效率和显著减少总体认知负荷。
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来源期刊
IEEE Transactions on Learning Technologies
IEEE Transactions on Learning Technologies COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
7.50
自引率
5.40%
发文量
82
审稿时长
>12 weeks
期刊介绍: The IEEE Transactions on Learning Technologies covers all advances in learning technologies and their applications, including but not limited to the following topics: innovative online learning systems; intelligent tutors; educational games; simulation systems for education and training; collaborative learning tools; learning with mobile devices; wearable devices and interfaces for learning; personalized and adaptive learning systems; tools for formative and summative assessment; tools for learning analytics and educational data mining; ontologies for learning systems; standards and web services that support learning; authoring tools for learning materials; computer support for peer tutoring; learning via computer-mediated inquiry, field, and lab work; social learning techniques; social networks and infrastructures for learning and knowledge sharing; and creation and management of learning objects.
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