基于增强现实的远程制导通信线索研究进展

IF 2.2 3区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Journal on Multimodal User Interfaces Pub Date : 2022-04-12 DOI:10.1007/s12193-022-00387-1
Weidong Huang, Mathew Wakefield, Troels Ammitsbøl Rasmussen, Seungwon Kim, Mark Billinghurst
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引用次数: 4

摘要

物理任务的远程指导是一种协作类型,在这种协作中,本地工作人员由远程助手指导操作一组物理对象。它在远程维护等工业领域有许多应用,如何支持这种类型的远程协作已经研究了近三十年。尽管已经提出、开发和使用了一系列不同的现代计算工具和系统来支持不同应用场景中的远程制导,但在共享视觉空间中提供通信提示以实现有效通信和协作的共同基础至关重要。在本文中,我们对通信线索、实现线索的方法及其对基于增强现实的远程制导的影响进行了综述。我们还讨论了挑战,并提出了未来可能的研究和发展方向。
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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A review on communication cues for augmented reality based remote guidance

Remote guidance on physical tasks is a type of collaboration in which a local worker is guided by a remote helper to operate on a set of physical objects. It has many applications in industrial sections such as remote maintenance and how to support this type of remote collaboration has been researched for almost three decades. Although a range of different modern computing tools and systems have been proposed, developed and used to support remote guidance in different application scenarios, it is essential to provide communication cues in a shared visual space to achieve common ground for effective communication and collaboration. In this paper, we conduct a selective review to summarize communication cues, approaches that implement the cues and their effects on augmented reality based remote guidance. We also discuss challenges and propose possible future research and development directions.

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来源期刊
Journal on Multimodal User Interfaces
Journal on Multimodal User Interfaces COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, CYBERNETICS
CiteScore
6.90
自引率
3.40%
发文量
12
审稿时长
>12 weeks
期刊介绍: The Journal of Multimodal User Interfaces publishes work in the design, implementation and evaluation of multimodal interfaces. Research in the domain of multimodal interaction is by its very essence a multidisciplinary area involving several fields including signal processing, human-machine interaction, computer science, cognitive science and ergonomics. This journal focuses on multimodal interfaces involving advanced modalities, several modalities and their fusion, user-centric design, usability and architectural considerations. Use cases and descriptions of specific application areas are welcome including for example e-learning, assistance, serious games, affective and social computing, interaction with avatars and robots.
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