摘要
混合现实具有新颖的人机交互方式,拓展了可视化与交互界面的设计空间,拥有广阔的应用前景.近几年,混合现实技术快速发展,许多研究者将其用于可视分析领域.首先,介绍了混合现实的概念与发展现状,并从显示与交互2个方面讨论混合现实环境与传统交互环境的差异,分析混合现实可视化的优势与局限性;其次,简介基于混合现实的可视分析的3个应用场景,即增强可视化、实景分析和协作分析;最后,给出基于混合现实的可视分析面临的机遇与挑战.
Having a novel human-computer interaction mode,mixed reality expands the design space of visualization and interactive interface,confirming itself a broad application prospect.Recently,mixed reality technologies have undergone rapid developments,and many researchers have applied it into the field of visual analytics.In this situation,first the concept and current developments of mixed reality are introduced,the differences between the mixed reality environment and the traditional interactive environment from aspects of display and interaction are discussed,the advantages and limitations of mixed reality visual analytics are analyzed,and related research projects are presented.In addition,based on the three application scenarios of mixed reality visual analytics,the augmenting visualization,the situated analytics,and the collaborative analytics,current works of the mixed reality visual analysis application are also introduced.Finally,current progress are summarized and the opportunities and challenges of mixed reality visual analytics are discussed.
作者
温圳
李鹏
王叙萌
黄文琦
梁凌宇
周越凡
陈为
Wen Zhen;Li Peng;Wang Xumeng;Huang Wenqi;Liang Lingyu;Zhou Yuefan;Chen Wei(State Key Laboratory of CAD&CG,Zhejiang University,Hangzhou 310058;Digital Grid Research Institute,China Southern Power Grid,Guangzhou 510670;Zhejiang University-China Southern PowerGrid Joint Research Centre on AI,Hangzhou 310058)
出处
《计算机辅助设计与图形学学报》
EI
CSCD
北大核心
2022年第6期821-829,共9页
Journal of Computer-Aided Design & Computer Graphics
基金
国家自然科学基金(62132017,61972122)。
关键词
混合现实
可视分析
人机交互
实景分析
协作分析
mixed reality
visual analytics
human-computer interaction
situated analytics
collaborative analytics
作者简介
温圳(1999-),男,博士研究生,主要研究方向为可视分析;李鹏(1973-),男,博士,教授级高级工程师,主要研究方向为人工智能;王叙萌(1994-),女,博士研究生,主要研究方向为可视分析;黄文琦(1988-),女,博士,高级工程师,主要研究方向为人工智能;梁凌宇(1979-),男,硕士,高级工程师,主要研究方向为人工智能;周越凡(1999-),女,学士,主要研究方向为可视分析;通信作者:陈为(1976-),男,博士,教授,博士生导师,CCF会员,主要研究方向为可细化、可视分析、大数据分析、人机混合智能,chenvis@zju.edu.cn。
