A systematic review of the current state of collaborative mixed reality technologies: 2013–2018

Ryan Anthony J. de Belen, Huyen Nguyen, Daniel Filonik, D. D. Favero, T. Bednarz
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引用次数: 56

Abstract

Over the last few decades, Mixed Reality (MR) interfaces have received great attention from academia and industry. Although a considerable amount of research has already been done to support collaboration between users in MR, there is still no systematic review to determine the current state of collaborative MR applications. In this paper, collaborative MR studies published from 2013 to 2018 were reviewed. A total of 259 papers have been categorised based on their application areas, types of display devices used, collaboration setups, and user interaction and experience aspects. The primary contribution of this paper is to present a high-level overview of collaborative MR influence across several research disciplines. The achievements from each application area are summarised. In addition, remarkable papers in their respective areas are highlighted. Among other things, our study finds that there are three complementary factors to support and enhance collaboration in MR environments: (i) annotation techniques, which provide non-verbal communication cues to users, (ii) cooperative object manipulation techniques, which divide complex 3D object manipulation process into simpler tasks between different users, and (iii) user perception and cognition studies, which aim to lessen cognitive workload for task understanding and completion, and to increase users’ perceptual awareness and presence. Finally, this paper identifies research gaps and future directions that can be useful for researchers who want to explore ways on how to foster collaboration between users and to develop collaborative applications in MR.
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2013-2018年协作混合现实技术现状的系统回顾
在过去的几十年里,混合现实(MR)接口受到了学术界和工业界的极大关注。尽管已经进行了大量的研究来支持MR中用户之间的协作,但仍然没有系统的综述来确定协作MR应用的现状。本文回顾了2013年至2018年发表的MR合作研究。共有259篇论文根据其应用领域、使用的显示设备类型、协作设置以及用户交互和体验方面进行了分类。本文的主要贡献是对几个研究学科的协作MR影响进行了高水平的概述。总结了每个应用领域的成就。此外,还重点介绍了各自领域的杰出论文。除其他外,我们的研究发现,有三个互补因素可以支持和增强MR环境中的协作:(i)注释技术,它为用户提供非语言交流线索;(ii)协作对象操纵技术,它将复杂的3D对象操纵过程划分为不同用户之间更简单的任务,以及(iii)用户感知和认知研究,旨在减轻理解和完成任务的认知工作量,并提高用户的感知意识和存在感。最后,本文确定了研究差距和未来方向,这些差距和方向对希望探索如何促进用户之间的协作和在MR中开发协作应用程序的研究人员有用。
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来源期刊
AIMS Electronics and Electrical Engineering
AIMS Electronics and Electrical Engineering Engineering-Control and Systems Engineering
CiteScore
2.40
自引率
0.00%
发文量
19
审稿时长
8 weeks
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