作者
Tahir Mahmood, Willis Fulmer, Neelesh Mungoli, Jian Huang, Aidong Lu
发表日期
2019/10/14
研讨会论文
2019 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)
页码范围
236-247
出版商
IEEE
简介
Remote collaboration systems allow users at different sites to perform joint tasks, which are required by many real-life applications. For example, environmental pollution is a complex problem requiring many kinds of expertise to fully understand, as pollutants disperse not only locally but also regionally or even globally. This paper presents a remote collaborative visualization system through providing co-presence, information sharing, and collaborative analysis functions based on mixed reality techniques. We start with developing an immersive visualization approach for analyzing multi-attribute and geo-spatial data with intuitive multi-model interactions, simulating co-located collaboration effects. We then go beyond by designing a set of information sharing and collaborative analysis functions to support different users to share and analyze their sensemaking processes collaboratively. We provide example results …
引用总数
201820192020202120222023202443103337615
学术搜索中的文章
T Mahmood, W Fulmer, N Mungoli, J Huang, A Lu - 2019 IEEE International Symposium on Mixed and …, 2019