TY - GEN
T1 - A Multiple View Approach to Support Data Exploration in Co-located and Synchronous Collaboration
AU - Liu, Yu
AU - Craig, Paul
N1 - Funding Information:
This project is supported by Key Program Special Fund XJTLU project KSF-E-10 and XJTLU Research Development Fund project RDF-14-03-22.
Publisher Copyright:
© 2021 IEEE.
PY - 2021/5/5
Y1 - 2021/5/5
N2 - Multi-mobile devices connected to large displays afford collaborative exploration of large data sets and make decisions. However, typical interfaces for the large, such as an overview of the whole data set, do not well designed to support collaboration and promote communication. This paper introduces one innovative multiple view on large displays that accommodate multiple individual viewports in different scales in the shared space to facilitate data exchange, data comparison, and support communication. We conducted a controlled study to evaluate our approach to traditional shared display interfaces. The experiment found our techniques improved collaboration effectiveness, and individual detailed viewports during data exploration play an essential role in collaboration. Our work can potentially improve and extend our understanding of how to visualize information on shared displays.
AB - Multi-mobile devices connected to large displays afford collaborative exploration of large data sets and make decisions. However, typical interfaces for the large, such as an overview of the whole data set, do not well designed to support collaboration and promote communication. This paper introduces one innovative multiple view on large displays that accommodate multiple individual viewports in different scales in the shared space to facilitate data exchange, data comparison, and support communication. We conducted a controlled study to evaluate our approach to traditional shared display interfaces. The experiment found our techniques improved collaboration effectiveness, and individual detailed viewports during data exploration play an essential role in collaboration. Our work can potentially improve and extend our understanding of how to visualize information on shared displays.
KW - Collaborative Visualization
KW - Information Visualization
UR - https://www.scopus.com/pages/publications/85107757293
U2 - 10.1109/CSCWD49262.2021.9437845
DO - 10.1109/CSCWD49262.2021.9437845
M3 - Conference Proceeding
AN - SCOPUS:85107757293
T3 - Proceedings of the 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2021
SP - 1298
EP - 1303
BT - Proceedings of the 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2021
A2 - Shen, Weiming
A2 - Barthes, Jean-Paul
A2 - Luo, Junzhou
A2 - Shi, Yanjun
A2 - Zhang, Jinghui
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 24th IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2021
Y2 - 5 May 2021 through 7 May 2021
ER -