无所不在的虚拟人:一种多平台的嵌入式人工智能代理框架

Arno Hartholt, Edward Fast, Adam Reilly, W. Whitcup, Matt Liewer, S. Mozgai
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引用次数: 16

摘要

我们为一系列计算平台(包括移动、网络、虚拟现实(VR)和增强现实(AR))的虚拟人开发提供了一个架构和框架。该框架使用内部和商品技术的混合来支持视听传感、语音识别、自然语言处理、非语言行为的生成和实现、文本到语音的生成和渲染。这项工作建立在虚拟人类工具包的基础上,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,以及基于耳机AR中的移动传感器的实时用户性能反馈。
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Ubiquitous Virtual Humans: A Multi-platform Framework for Embodied AI Agents in XR
We present an architecture and framework for the development of virtual humans for a range of computing platforms, including mobile, web, Virtual Reality (VR) and Augmented Reality (AR). The framework 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. This work builds on the Virtual Human Toolkit, which has been extended to support computing platforms beyond Windows. 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 based on mobile sensors in headset AR.
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