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Architectures of Collaborative Virtual Environments for Teamwork Training

机译:团队合作培训的协作虚拟环境架构

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Currently, literature points out the lack of studies about collaborative virtual environments with intelligent tools capable of providing automatic evaluation feedback of different collaborative procedures (e.g., surgical, military training). In addition, there is a lack of classifications and methodologies for the implementation of CVEs with simultaneous evaluation of multiple users, making it difficult to standardize and implement such assessment tools. Such facts occur due to a series of issues, such as: complexity and high volume of data involved, inadequate representation of the specialized knowledge involved, amongst others. This work aims at presenting a classification proposal and methodology for the design of a subcategory of traditional CVEs, which we classify as Collaborative Virtual Environments for teamwork Training (CVET). Therefore, we take into account fundamental requirements, such as: number of users, computational and network communication performance, performance of artificial intelligence technique, amongst others.
机译:当前,文献指出缺乏关于使用能够提供对不同协作程序(例如,外科手术,军事训练)的自动评估反馈的智能工具的协作虚拟环境的研究。此外,缺乏同时执行多个用户评估的CVE实施的分类和方法,这使得标准化和实施此类评估工具变得困难。发生这些事实是由于一系列问题,例如:复杂性和涉及的数据量大,所涉及的专门知识的表示不足等。这项工作旨在为传统CVE子类别的设计提出分类建议和方法,我们将其归类为团队合作培训(CVET)的协作虚拟环境。因此,我们考虑了一些基本要求,例如:用户数量,计算和网络通信性能,人工智能技术的性能等。

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