Representing Real-Time Multi-User Collaboration in Visualizations
Name
2009.02587.pdf
Description
Accepted version
Size
669.58 KB
Format
Adobe PDF
Checksum (MD5)
5b607dd6a21ba97e1f5db72136e51953
Author(s)
Neogy, Rupayan
Zong, Jonathan
Satyanarayan, Arvind
Date Issued
2020
Journal
Proceedings - 2020 IEEE Visualization Conference, VIS 2020
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Neogy, Rupayan, Zong, Jonathan and Satyanarayan, Arvind. 2020. "Representing Real-Time Multi-User Collaboration in Visualizations." Proceedings - 2020 IEEE Visualization Conference, VIS 2020.
Version
Author's final manuscript
Abstract
© 2020 IEEE. Establishing common ground and maintaining shared awareness amongst participants is a key challenge in collaborative visualization. For real-time collaboration, existing work has primarily focused on synchronizing constituent visualizations - an approach that makes it difficult for users to work independently, or selectively attend to their collaborators' activity. To address this gap, we introduce a design space for representing synchronous multi-user collaboration in visualizations defined by two orthogonal axes: situatedness, or whether collaborators' interactions are overlaid on or shown outside of a user's view, and specificity, or whether collaborators are depicted through abstract, generic representations or through specific means customized for the given visualization. We populate this de-sign space with a variety of examples including generic and custom synchronized cursors, and user legends that collect these cursors together or reproduce collaborators' views as thumbnails. To build common ground, users can interact with these representations by peeking to take a quick look at a collaborator's view, tracking to follow along with a collaborator in real-time, and forking to independently explore the visualization based on a collaborator's work. We present a reference implementation of a wrapper library that converts interactive Vega-Lite charts into collaborative visualizations. We find that our approach affords synchronous collaboration across an expressive range of visual designs and interaction techniques.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/VIS47514.2020.00036
