Creating Virtual Worlds with the Virtual Human Toolkit and the Rapid Integration & Development Environment

Arno Hartholt, S. Mozgai
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Abstract

The research and development of virtual humans, and the virtual worlds they inhabit, is inherently complex, requiring interdisciplinary approaches that combine social sciences, computer science, design, art, production, and domain expertise. Our previous work in managing this complexity has resulted in the release of the Virtual Human Toolkit (VHToolkit), aimed at lowering the burden of creating embodied conversational agents. In our current efforts, we are integrating the VHToolkit with the Rapid Integration & Development Environment (RIDE), a rapid prototyping modeling and simulation middleware platform that leverages real-time game engines. This integration results in the ability to mix and match commercial AI services from AWS, Azure, and Google, as well as leverage novel 3D geospatial terrain creation pipelines. Combined with dedicated authoring tools that have been developed through human-centered design processes, the platform enables researchers, developers, and domain experts to rapidly create digital worlds with virtual humans for both military and civilian contexts. Our approach is highly interdisciplinary, including academia, government, and industry collaborators. The demonstration shows a user interacting with an embodied conversational agent embedded within real-world captured and virtualized terrain. Further research and development features of the platform are shown, including scripted agent behaviors, networked team play, and machine learning interfaces.
用虚拟人工具箱和快速集成开发环境创建虚拟世界
虚拟人类的研究和开发,以及他们居住的虚拟世界,本质上是复杂的,需要跨学科的方法,结合社会科学、计算机科学、设计、艺术、生产和领域的专业知识。我们之前在管理这种复杂性方面的工作导致了虚拟人工具包(VHToolkit)的发布,旨在降低创建具体化会话代理的负担。在我们目前的努力中,我们正在将VHToolkit与快速集成与开发环境(RIDE)集成在一起,RIDE是一种利用实时游戏引擎的快速原型建模和仿真中间件平台。这种集成使其能够混合和匹配来自AWS、Azure和Google的商业人工智能服务,并利用新颖的3D地理空间地形创建管道。结合以人为中心的设计流程开发的专用创作工具,该平台使研究人员、开发人员和领域专家能够快速创建军事和民用环境中的虚拟人类数字世界。我们的方法是高度跨学科的,包括学术界,政府和行业合作者。该演示展示了用户与嵌入在真实世界捕获和虚拟地形中的嵌入会话代理进行交互。展示了该平台的进一步研究和开发功能,包括脚本代理行为,网络化团队游戏和机器学习接口。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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