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引用次数: 3

摘要

在沉浸式虚拟现实中,与虚拟人物的相遇可能是最引人入胜的体验之一,正如梅尔·斯莱特(Mel Slater)和他的团队在VR社交互动的许多实验中所展示的那样。这在很大程度上是由于虚拟现实能够准确地呈现肢体语言,因为参与者可以与角色共享3D空间。然而,创造能够使用肢体语言的虚拟角色是一项具有挑战性的任务。它是一种隐性的、具体化的技能,不能很好地用代码表示。本文调查了Mel Slater及其同事进行的一系列实验,这些实验显示了虚拟角色在VR中的力量,并总结了所使用的技术基础设施的细节,以及Slater关于虚拟角色为何有效的理论。他们讨论了创建虚拟角色所涉及的问题和所需的工具类型。最后提出交互式机器学习可以提供这种类型的工具。
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Creating Virtual Characters
An encounter with a virtual person can be one of the most compelling experiences in immersive virtual reality, as Mel Slater and his group have shown in many experiments on social interaction in VR. Much of this is due to virtual reality's ability to accurately represent body language, since participants can share a 3D space with a character. However, creating virtual characters capable of body language is a challenging task. It is a tacit, embodied skill that cannot be well represented in code. This paper surveys a series of experiments performed by Mel Slater and colleagues that show the power of Virtual Characters in VR and summarizes details of the technical infrastructure used, and Slater's theories of why virtual characters are effective. It they discusses the issues involved in creating virtual characters and the type of tool required. It concludes by proposing that Interactive Machine Learning can provide this type of tool.
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