GVT: a platform to create virtual environments for procedural training

S. Gerbaud, N. Mollet, Franck Ganier, B. Arnaldi, J. Tisseau
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引用次数: 83

Abstract

The use of virtual environments for training is strongly stimulated by important needs for training on sensitive equipments. Yet, developing such an application is often done without reusing existing components, which requires a huge amount of time. We present in this paper a full authoring platform to facilitate the development of both new virtual environments and pedagogical information for procedural training. This platform, named GVT (generic virtual training) relies on innovative models and provides authoring tools which allow capitalizing on the developments realized. We present a generic model named STORM, used to describe reusable behaviors for 3D objects and reusable interactions between those objects. We also present a scenario language named LORA which allows non computer scientists to author various and complex sequences of tasks in a virtual scene. Based on those models, as an industrial validation with Nexter-Group, more than fifty operational scenarios of maintenance training on military equipments have been realized so far. We have also set up an assessment campaign, and we expose in this paper the first results which show that GVT enables trainees to learn procedures efficiently. The platform keeps on evolving and training on collaborative procedures will soon be available.
GVT:为程序性培训创建虚拟环境的平台
对敏感设备进行培训的重要需求强烈地刺激了虚拟环境的使用。然而,开发这样的应用程序通常是在不重用现有组件的情况下完成的,这需要大量的时间。我们在本文中提出了一个完整的创作平台,以促进新的虚拟环境和程序性培训教学信息的开发。这个名为GVT(通用虚拟培训)的平台依赖于创新的模型,并提供了允许利用已实现的开发的创作工具。我们提出了一个名为STORM的通用模型,用于描述3D对象的可重用行为以及这些对象之间的可重用交互。我们还提出了一种名为LORA的场景语言,它允许非计算机科学家在虚拟场景中编写各种复杂的任务序列。在此基础上,通过与nexter集团的工业验证,目前已经实现了50多个军事装备维修训练的操作场景。我们还建立了一个评估活动,我们在本文中披露了第一个结果,表明GVT使学员能够有效地学习程序。该平台仍在不断发展,协作程序的培训将很快提供。
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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