Design Considerations for Collaborative Visual Analytics
By Jeffrey Heer, Maneesh Agrawala. 2007 IEEE Symposium on Visual Analytics Science and Technology, 2007
366 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Information Systems and Management, Human-Computer Interaction
View Paper: https://www.semanticscholar.org/paper/507ed3c3ff46e651ed57b394c9d723fc449822e9
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Jeffrey Heer
- Michael Bostock
- Nils Gehlenborg
- Niklas Elmqvist
- Petra Isenberg
- Jean C. Scholtz
- Oliver Kohlbacher
- Kwan-Liu Ma
In Information Systems and Management
In Human-Computer Interaction
- Susan R. Fussell
- Niklas Elmqvist
- Petra Isenberg
- Jeffrey Heer
- D. Cernea
- Nitesh Goyal
- Michael Bostock
- L. V. D. van der Maaten
Citations in the corpus
- Immersive and collaborative data visualization using virtual reality platforms (2014, background): “This enables a more flexible, collaborative data exploration [24, 25].”
- Protovis: A Graphical Toolkit for Visualization (2009, background): “Open source also facilitates some degree of collaboration [16], since users can more easily create derivative works to show different views or fix mistakes.”
- Visualization of omics data for systems biology (2010, background): “Web-based tools show great promise for facilitating collaboration between scientists at different location”
- Collaborative visualization: Definition, challenges, and research agenda (2011, background): “45 Finally, Many Eyes supports not only on-site but also off-site communication.”
- Effects of Sensemaking Translucence on Distributed Collaborative Analysis (2016, background): “Such visualizations can help users aggregate and abstract activities [28].”