计算机科学
增强现实
计算机支持的协同工作
人机交互
可视化
虚拟现实
协同过滤
模式
数据可视化
领域(数学分析)
数据科学
多媒体
万维网
推荐系统
工作(物理)
人工智能
机械工程
数学分析
社会科学
数学
社会学
工程类
作者
Mickaël Sereno,Xiyao Wang,Lonni Besançon,Michael McGuffin,Tobias Isenberg
出处
期刊:IEEE Transactions on Visualization and Computer Graphics
[Institute of Electrical and Electronics Engineers]
日期:2020-01-01
卷期号:: 1-1
被引量:123
标识
DOI:10.1109/tvcg.2020.3032761
摘要
In Augmented Reality (AR), users perceive virtual content anchored in the real world. It is used in medicine, education, games, navigation, maintenance, product design, and visualization, in both single-user and multi-user scenarios. Multi-user AR has received limited attention from researchers, even though AR has been in development for more than two decades. We present the state of existing work at the intersection of AR and Computer-Supported Collaborative Work (AR-CSCW), by combining a systematic survey approach with an exploratory, opportunistic literature search. We categorize 65 papers along the dimensions of space, time, role symmetry (whether the roles of users are symmetric), technology symmetry (whether the hardware platforms of users are symmetric), and output and input modalities. We derive design considerations for collaborative AR environments, and identify under-explored research topics. These include the use of heterogeneous hardware considerations and 3D data exploration research areas. This survey is useful for newcomers to the field, readers interested in an overview of CSCW in AR applications, and domain experts seeking up-to-date information.
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