首页> 外文会议>International conference on autonomous agents and multiagent systems;AAMAS 2011 >From Body Space to Interaction Space - Modeling Spatial Cooperation for Virtual Humans
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From Body Space to Interaction Space - Modeling Spatial Cooperation for Virtual Humans

机译:从身体空间到交互空间-虚拟人的空间合作建模

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This paper introduces a model which connects representations of the space surrounding a virtual humanoid's body with the space it shares with several interaction partners. This work intends to support virtual humans (or humanoid robots) in near space interaction and is inspired by studies from cognitive neurosciences on the one hand and social interaction studies on the other hand. We present our work on learning the body structure of an articulated virtual human by using data from virtual touch and proprioception sensors. The results are utilized for a representation of its reaching space, the so-called peripersonal space. In interpersonal interaction involving several partners, their peripersonal spaces may overlap and establish a shared reaching space. We define it as their interaction space, where cooperation takes place and where actions to claim or release spatial areas have to be adapted, to avoid obstructions of the other's movements. Our model of interaction space is developed as an extension of Kendon's F-formation system, a foundational theory of how humans orient themselves in space when communicating. Thus, interaction space allows for analyzing the spatial arrangement (i.e., body posture and orientation) between multiple interaction partners and the extent of space they share. Peripersonal and interaction space are modeled as potential fields to control the virtual human's behavior strategy. As an example we show how the virtual human can relocate object positions toward or away from locations reachable for all partners, and thus influencing the degree of cooperation in an interaction task.
机译:本文介绍了一个模型,该模型将虚拟人形生物周围空间的表示与其与多个交互伙伴共享的空间联系起来。这项工作旨在支持虚拟人(或类人机器人)进行近空间互动,并且一方面受到认知神经科学的研究,另一方面受到社会互动研究的启发。我们通过使用来自虚拟触摸和本体感受传感器的数据来学习铰接式虚拟人的身体结构。结果用于表示其到达空间,即所谓的人际空间。在涉及多个伙伴的人际互动中,他们的人际空间可能会重叠并建立一个共享的到达空间。我们将其定义为他们的互动空间,在该空间进行合作,并在其中必须调整主张或释放空间区域的动作,以避免阻碍对方的动作。我们的交互空间模型是作为Kendon F-formation系统的扩展而开发的,该系统是人类如何在交流时将自己定位在空间中的基础理论。因此,交互空间允许分析多个交互伙伴之间的空间布置(即,身体姿势和取向)以及它们共享的空间的程度。人际和交互空间被建模为控制虚拟人的行为策略的潜在领域。作为示例,我们展示了虚拟人如何将对象位置重新定位为朝向或远离所有伙伴可到达的位置,从而影响交互任务中的协作程度。

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