Environment Spatial Restitution for Remote Physical AR Collaboration

Bruno Caby;Guillaume Bataille;Florence Danglade;Jean-Rémy Chardonnet
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Abstract

The emergence of spatial immersive technologies allows new ways to collaborate remotely. However, they still need to be studied and enhanced in order to improve their effectiveness and usability for collaborators. Remote Physical Collaborative Extended Reality (RPC-XR) consists in solving augmented physical tasks with the help of remote collaborators. This paper presents our RPC-AR system and a user study evaluating this system during a network hardware assembly task. Our system offers verbal and non-verbal interpersonal communication functionalities. Users embody avatars and interact with their remote collaborators thanks to hand, head and eye tracking, and voice. Our system also captures an environment spatially, in real-time and renders it in a shared virtual space. We designed it to be lightweight and to avoid instrumenting collaborative environments and preliminary steps. It performs capture, transmission and remote rendering of real environments in less than 250ms. We ran a cascading user study to compare our system with a commercial 2D video collaborative application. We measured mutual awareness, task load, usability and task performance. We present an adapted Uncanny Valley questionnaire to compare the perception of remote environments between systems. We found that our application resulted in better empathy between collaborators, a higher cognitive load and a lower level of usability, remaining acceptable, to the remote user. We did not observe any significant difference in performance. These results are encouraging, as participants' observations provide insights to further improve the performance and usability of RPC-AR.
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远程物理AR协作的环境空间恢复。
空间沉浸式技术的出现为远程协作提供了新的方式。然而,为了提高合作者的有效性和可用性,它们仍然需要研究和增强。远程物理协作扩展现实(RPC-XR)包括在远程协作者的帮助下解决增强的物理任务。本文介绍了我们的RPC-AR系统,并在网络硬件组装任务中对该系统进行了用户研究评估。我们的系统提供语言和非语言的人际交流功能。通过手、头、眼追踪和语音,用户可以化身为虚拟人物,并与远程合作者进行互动。我们的系统还可以实时捕获空间环境,并将其呈现在共享的虚拟空间中。我们将其设计为轻量级的,并避免对协作环境和初步步骤进行仪器化。它在不到250毫秒的时间内完成真实环境的捕获、传输和远程渲染。我们进行了级联用户研究,将我们的系统与商业2D视频协作应用程序进行比较。我们测量了相互意识、任务负载、可用性和任务性能。我们提出了一个改编的恐怖谷问卷来比较系统之间对远程环境的感知。我们发现我们的应用程序在合作者之间产生了更好的同理心,更高的认知负荷和更低的可用性水平,对远程用户来说仍然是可接受的。我们没有观察到任何显著的性能差异。这些结果令人鼓舞,因为参与者的观察为进一步提高RPC-AR的性能和可用性提供了见解。
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