Representing Real-Time Multi-User Collaboration in Visualizations
© 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 user...
| Main Authors: | , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2022
|
| Online Access: | https://hdl.handle.net/1721.1/143860 |
| _version_ | 1811091354837581824 |
|---|---|
| author | Neogy, Rupayan Zong, Jonathan Satyanarayan, Arvind |
| author2 | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
| author_facet | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Neogy, Rupayan Zong, Jonathan Satyanarayan, Arvind |
| author_sort | Neogy, Rupayan |
| collection | MIT |
| description | © 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. |
| first_indexed | 2024-09-23T15:01:10Z |
| format | Article |
| id | mit-1721.1/143860 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T15:01:10Z |
| publishDate | 2022 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| record_format | dspace |
| spelling | mit-1721.1/1438602023-01-24T21:41:37Z Representing Real-Time Multi-User Collaboration in Visualizations Neogy, Rupayan Zong, Jonathan Satyanarayan, Arvind Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory © 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. 2022-07-19T15:33:23Z 2022-07-19T15:33:23Z 2020 2022-07-19T15:27:42Z Article http://purl.org/eprint/type/ConferencePaper https://hdl.handle.net/1721.1/143860 Neogy, Rupayan, Zong, Jonathan and Satyanarayan, Arvind. 2020. "Representing Real-Time Multi-User Collaboration in Visualizations." Proceedings - 2020 IEEE Visualization Conference, VIS 2020. en 10.1109/VIS47514.2020.00036 Proceedings - 2020 IEEE Visualization Conference, VIS 2020 Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Institute of Electrical and Electronics Engineers (IEEE) arXiv |
| spellingShingle | Neogy, Rupayan Zong, Jonathan Satyanarayan, Arvind Representing Real-Time Multi-User Collaboration in Visualizations |
| title | Representing Real-Time Multi-User Collaboration in Visualizations |
| title_full | Representing Real-Time Multi-User Collaboration in Visualizations |
| title_fullStr | Representing Real-Time Multi-User Collaboration in Visualizations |
| title_full_unstemmed | Representing Real-Time Multi-User Collaboration in Visualizations |
| title_short | Representing Real-Time Multi-User Collaboration in Visualizations |
| title_sort | representing real time multi user collaboration in visualizations |
| url | https://hdl.handle.net/1721.1/143860 |
| work_keys_str_mv | AT neogyrupayan representingrealtimemultiusercollaborationinvisualizations AT zongjonathan representingrealtimemultiusercollaborationinvisualizations AT satyanarayanarvind representingrealtimemultiusercollaborationinvisualizations |