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Toward an enhanced mutual awareness in asymmetric CVE

机译:在非对称CVE中增强相互意识

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Collaborative Virtual Environments (CVEs) aim at providing several users with a consistent shared virtual world. In this work, we focus on the lack of mutual awareness that may appear in many situations and we evaluate different ways to present the distant user and his actions in the Virtual Environment (VE) in order to understand his perception and cognitive process. Indeed, an efficient collaboration involves not only the good perception of some objects but their meaning too. This second criterion introduces the concept of distant analysis that could be a great help in improving the understanding of distant activities. For this work, we focus on a common case consisting in estimating accurately the time at which a distant user analyzed the meaning of a remotely pointed object. Thus, we conduct some experiments to evaluate the concept and compare different techniques for implementing this new awareness feature in a CVE. Amongst others, results show that expertise of the users influences on how they estimate the distant activity and the type of applied strategies.
机译:协作虚拟环境(CVE)旨在为多个用户提供一致的共享虚拟世界。在这项工作中,我们着重于在许多情况下可能会出现的缺乏相互了解的情况,并且我们评估了不同的方式来呈现远方用户及其在虚拟环境(VE)中的行为,以了解其感知和认知过程。确实,有效的协作不仅涉及对某些对象的良好感知,还涉及其含义。第二个标准引入了远程分析的概念,这可能有助于增进对远程活动的理解。对于这项工作,我们重点关注一种常见情况,即准确估算远方用户分析远距离指向对象的含义的时间。因此,我们进行了一些实验,以评估该概念并比较在CVE中实现此新意识功能的不同技术。结果除其他外,结果表明用户的专业知识会影响他们如何估计远程活动和所应用策略的类型。

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