A multiple view approach to support common ground in distributed and synchronous geo-collaboration

Gregorio Convertino, Craig H. Ganoe, Wendy A. Schafer, Beth Yost, John Carroll

Research output: Chapter in Book/Report/Conference proceedingConference contribution

44 Scopus citations

Abstract

In this paper we investigate strategies to support knowledge sharing in distributed, synchronous collaboration. Our goal is to propose, justify, and assess a multiple view approach to support common ground in geo-collaboration within multi-role teams. We argue that a collaborative workspace, which includes multiple role-specific views coordinated with a team view, affords a clear separation between role-specific and shared data, enables the team to filter out role-specific details and share strategic knowledge, and allows serendipitous learning about knowledge and expertise within the team. We discuss some key issues that need to be addressed when designing multiple views as a collaborative visualization. We illustrate the design features of a geo-collaborative prototype that address these issues in the context of two collaborative scenarios. We finally describe a laboratory method for investigating how multi-role teams establish common ground while the amount of prior shared knowledge and the type of visualization are experimentally manipulated.

Original languageEnglish (US)
Title of host publicationProceedings - Third International Conference on Coordinated and Multiple Views in Exploratory Visualization, CMV 2005
Pages121-132
Number of pages12
DOIs
StatePublished - Dec 1 2005
Event3rd International Conference on Coordinated and Multiple Views in Exploratory Visualization, CMV 2005 - London, United Kingdom
Duration: Jul 5 2005Jul 5 2005

Publication series

NameProceedings - Third International Conference on Coordinated and Multiple Views in Exploratory Visualization, CMV 2005
Volume2005

Other

Other3rd International Conference on Coordinated and Multiple Views in Exploratory Visualization, CMV 2005
CountryUnited Kingdom
CityLondon
Period7/5/057/5/05

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Convertino, G., Ganoe, C. H., Schafer, W. A., Yost, B., & Carroll, J. (2005). A multiple view approach to support common ground in distributed and synchronous geo-collaboration. In Proceedings - Third International Conference on Coordinated and Multiple Views in Exploratory Visualization, CMV 2005 (pp. 121-132). [1508227] (Proceedings - Third International Conference on Coordinated and Multiple Views in Exploratory Visualization, CMV 2005; Vol. 2005). https://doi.org/10.1109/CMV.2005.2