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From Body Space to Interaction Space - Modeling Spatial Cooperation for Virtual Humans

机译:从身体空间到互动空间 - 虚拟人体空间合作

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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:本文介绍了一种模型,它与具有多个互动伙伴共享的空间,连接虚拟人形机构周围的空间的表示。这项工作打算在近空间互动附近的虚拟人(或人形机器人),并通过关于一方面的认知神经科学的研究和社会互动研究的启发。我们通过使用虚拟触摸和预衬传感器的数据来学习铰接虚拟人体的身体结构的工作。结果用于其到达空间的表示,所谓的脉搏空间。在涉及几个合作伙伴的人际交互中,它们的脉搏空间可以重叠并建立共享到达空间。我们将其定义为它们的互动空间,其中发生合作以及必须调整释放空间区域的动作,以避免对方运动的障碍。我们的互动空间模型被开发为KENDON F地层系统的延伸,是人类在沟通时如何在太空中定位的基础理论。因此,交互空间允许分析多个交互伙伴之间的空间布置(即,身体姿势和方向)和它们共享的空间程度。围栏形态和交互空间被建模为潜在的领域,以控制虚拟人的行为策略。作为一个例子,我们展示了虚拟人如何将对象位置朝向或远离所有合作伙伴的位置重新定位,从而影响交互任务中的合作程度。

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