未映射:利用专家的经验来缓解协作混合现实中的远程指导

Janet G. Johnson, Tommy Sharkey, Iramuali Cynthia Butarbutar, Danica Xiong, Ruijie Huang, Lauren Sy, Nadir Weibel
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引用次数: 0

摘要

协作式混合现实(MR)系统有助于将物理任务的专业知识扩展到远程环境,通常将专家置于任务环境的沉浸式视图中,从而使协作更接近并置设置。在本文中,我们设计了UnMapped,这是一个为远程专家设计的替代界面,它结合了新手环境中活动空间的实时3D视图和专家自己工作空间的静态3D重建,以利用他们现有的空间记忆。我们通过一项比较研究来评估这种方法对远程制导的单次和重复使用协作MR系统的影响。我们的研究结果表明,尽管对新手的环境了解有限,但使用UnMapped界面可以提高性能和沟通效率,同时减少专家的任务负荷。我们还概述了为远程专家提供熟悉且空间稳定的环境以帮助新手的各种功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
UnMapped: Leveraging Experts’ Situated Experiences to Ease Remote Guidance in Collaborative Mixed Reality
Collaborative Mixed Reality (MR) systems that help extend expertise for physical tasks to remote environments often situate experts in an immersive view of the task environment to bring the collaboration closer to collocated settings. In this paper, we design UnMapped, an alternative interface for remote experts that combines a live 3D view of the active space within the novice’s environment with a static 3D recreation of the expert’s own workspace to leverage their existing spatial memories within it. We evaluate the impact of this approach on single and repeated use of collaborative MR systems for remote guidance through a comparative study. Our results indicate that despite having a limited understanding of the novice’s environment, using an UnMapped interface increased performance and communication efficiency while reducing experts’ task load. We also outline the various affordances of providing remote experts with a familiar and spatially-stable environment to assist novices.
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