Collaborative visualization: Definition, challenges, and research agenda

Author:

Isenberg Petra1,Elmqvist Niklas2,Scholtz Jean3,Cernea Daniel4,Kwan-Liu Ma 5,Hagen Hans4

Affiliation:

1. INRIA, Team Aviz, Université Paris-Sud, Bât 490, 91405 Orsay, France.

2. School of Electrical and Computer Engineering, Purdue University, 465 Northwestern Avenue, West Lafayette, IN 47907-2035, USA.

3. Northwest National Laboratory, Richland, WA 99352, USA.

4. Department of Computer Science, University of Kaiserslautern, 67663 Kaiserslautern, Germany.

5. Department of Computer Science, 2063 Kemper Hall, University of California-Davis, One Shields Avenue, Davis, CA 95616, USA.

Abstract

The conflux of two growing areas of technology – collaboration and visualization – into a new research direction, collaborative visualization, provides new research challenges. Technology now allows us to easily connect and collaborate with one another – in settings as diverse as over networked computers, across mobile devices, or using shared displays such as interactive walls and tabletop surfaces. Digital information is now regularly accessed by multiple people in order to share information, to view it together, to analyze it, or to form decisions. Visualizations are used to deal more effectively with large amounts of information while interactive visualizations allow users to explore the underlying data. While researchers face many challenges in collaboration and in visualization, the emergence of collaborative visualization poses additional challenges, but it is also an exciting opportunity to reach new audiences and applications for visualization tools and techniques. The purpose of this article is (1) to provide a definition, clear scope, and overview of the evolving field of collaborative visualization, (2) to help pinpoint the unique focus of collaborative visualization with its specific aspects, challenges, and requirements within the intersection of general computer-supported cooperative work and visualization research, and (3) to draw attention to important future research questions to be addressed by the community. We conclude by discussing a research agenda for future work on collaborative visualization and urge for a new generation of visualization tools that are designed with collaboration in mind from their very inception.

Publisher

SAGE Publications

Subject

Computer Vision and Pattern Recognition

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