CORVETTE: Collaborative environment for technical training and experiment

Rozenn Bouville Berthelot, Thomas Lopez, Florian Nouviale, V. Gouranton, B. Arnaldi
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引用次数: 1

Abstract

Summary form only given. The CORVETTE project aims at producing significant innovations in the field of collaborative virtual training. For that purpose, CORVETTE combines various technologies to enhance the effective collaboration between users and virtual humans performing a common task. First, CORVETTE proposes a model of collaborative interaction in virtual environments allowing actors to efficiently collaborate as a team whether they are controlled by a user or by a virtual human [4]. Moreover, the environment is simulated in real-time, at real scale and is using physics as well as physically-based humanoids to improve the realism of the training. Second, thanks to the interaction model, we defined a protocol of exchange of avatars [5, 3, 2]. Thus, an actor can dynamically exchange the control of his/her avatar with the one controlled by another user or by a virtual agent. Moreover, to improve the exchange protocol, we designed a new knowledge model embedded in each avatar. It allows users and virtual humans to retrieve knowledge previously gathered by an avatar following an exchange. The preservation of knowledge is indeed especially crucial for teamwork. Finally, we handle verbal communication between users and virtual humans with speech recognition and synthesis. Actors' knowledge is enhanced through dialogue and used for decision-making and conversation [1].
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CORVETTE:技术培训和实验的协作环境
只提供摘要形式。CORVETTE项目旨在协同虚拟训练领域产生重大创新。为此,CORVETTE结合了各种技术,以增强用户和执行共同任务的虚拟人之间的有效协作。首先,CORVETTE提出了一种虚拟环境中的协作交互模型,允许参与者作为一个团队有效地协作,无论他们是由用户还是由虚拟人控制[4]。此外,环境是实时模拟的,以真实的规模,并使用物理以及基于物理的类人机器人来提高训练的真实感。其次,通过交互模型,我们定义了一个角色交换协议[5,3,2]。因此,演员可以动态地与另一个用户或虚拟代理控制的角色交换他/她的角色的控制权。此外,为了改进交换协议,我们设计了一个新的知识模型嵌入到每个虚拟角色中。它允许用户和虚拟人在交流后检索以前由化身收集的知识。对于团队合作来说,知识的保存确实尤为重要。最后,我们通过语音识别和合成来处理用户和虚拟人之间的口头交流。演员的知识通过对话得到增强,并用于决策和对话[1]。
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