虚拟人类工具箱的多平台扩展:无处不在的会话代理

Arno Hartholt, Edward Fast, Adam Reilly, W. Whitcup, Matt Liewer, S. Mozgai
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引用次数: 9

摘要

我们提出了一个扩展的虚拟人类工具包,包括一系列的计算平台,包括移动,网络,虚拟现实(VR)和增强现实(AR)。该工具包使用内部和商品技术的混合,以支持视听传感、语音识别、自然语言处理、非语言行为生成和实现、文本到语音的生成和渲染。通过利用微服务,它已经扩展到支持Windows以外的计算平台。生成的框架维护了底层体系结构的模块化,允许通过云服务重用逻辑和内容,并且可以通过移植轻量级客户端进行扩展。我们介绍了框架的当前状态,讨论了我们如何建模和动画我们的角色,并通过几个用例提供了经验教训,包括坐式VR中的富有表现力的角色动画,房间级VR中的共享空间和导航,移动AR中的自主AI,以及利用耳机AR中的移动传感器的实时用户性能反馈。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-Platform Expansion of the Virtual Human Toolkit: Ubiquitous Conversational Agents
We present an extension of the Virtual Human Toolkit to include a range of computing platforms, including mobile, web, Virtual Reality (VR) and Augmented Reality (AR). The Toolkit uses a mix of in-house and commodity technologies to support audio-visual sensing, speech recognition, natural language processing, nonverbal behavior generation and realization, text-to-speech generation and rendering. It has been extended to support computing platforms beyond Windows by leveraging microservices. The resulting framework maintains the modularity of the underlying architecture, allows re-use of both logic and content through cloud services, and is extensible by porting lightweight clients. We present the current state of the framework, discuss how we model and animate our characters, and offer lessons learned through several use cases, including expressive character animation in seated VR, shared space and navigation in room-scale VR, autonomous AI in mobile AR, and real-time user performance feedback leveraging mobile sensors in headset AR.
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