Improving collaboration by using context views

Hussein, T., Gaulke, W., Linder, T., & Ziegler, J. (2010). In Context-Adaptive Interaction for Collaborative Work (CAICOLL), 1st Workshop in conjunction with the ACM Conference on Human Factors in Computing Systems (CHI) 2010 (pp. 1–6). Atlanta, GA, USA.


In this paper, we explain our notion of context, considering for instance membership in a group as context. We derive a model for context-adaptivity from the well-established one for user-adaptivity proposed by Jameson, and introduce context views as means for facilitating group-based work. Context views aim at identifying the most important elements within an application in a generic way by exploiting context information.


Related publications

Context-aware Recommendations on Rails

Hussein, T., Linder, T., Gaulke, W., & Ziegler, J. (2009). In L. Bergmann (Ed.), Proceedings of the 2009 Workshop on Context-aware Recommender Systems (CARS 2009). New York, NY, USA.

A framework and an architecture for context-aware group recommendations

Hussein, T., Linder, T., Gaulke, W., & Ziegler, J. (2010). In G. Kolfschoten, T. Herrmann, & S. Lukosch (Eds.), Collaboration and Technology: 16th International Conference, CRIWG 2010, Maastricht, The Netherlands, September 20-23, 2010. Proceedings. Berlin: Springer.

Hybreed: A Software Framework for Developing Context-Aware Hybrid Recommender Systems

Hussein, T., Linder, T., Gaulke, W., & Ziegler, J. (2014). User Modeling and User Adapted Interaction, 24(1), 121–174.


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