You are here:

Social Matching for Health Researchers

, , University of Ottawa, Canada

E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, in Montréal, Quebec, Canada ISBN 978-1-880094-98-3 Publisher: Association for the Advancement of Computing in Education (AACE), San Diego, CA


This paper is a report on the findings of a study on a novel collaborative web tool that aims to foster collaboration and increase social interaction within organizations. The study was conducted with the research communities in health and continuing care within the Faculty of Health Sciences at the University of Ottawa and the Élisabeth Bruyère Research Institute. The large number of researchers and physical disconnection of the workspaces limit social interaction amongst researchers, and lead to unawareness about opportunities for interdisciplinary collaboration. Qualitative analysis based on personal interviews and focus groups was done to determine whether the proactive construction of a social network using social matching techniques is an effective approach to both promote and analyze the social interaction across these two organizations.


Macrini, D. & Sveistrup, H. (2012). Social Matching for Health Researchers. In T. Bastiaens & G. Marks (Eds.), Proceedings of E-Learn 2012--World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 1 (pp. 700-709). Montréal, Quebec, Canada: Association for the Advancement of Computing in Education (AACE). Retrieved February 17, 2019 from .


View References & Citations Map


  1. Terveen, L. And McDonald, D.W. (2005). Social Matching: A Framework and Research Agenda. ACM Transactions on Computer-Human Interaction.
  2. Raban, D., Ricken, S., Sukeshini, A., Laws, N., and Jones, Q. (2009). Hello Stranger! A Study of Introductory Communication Structure and Social Match Success. System Sciences. 2009.
  3. Jones, Q., Grandhi, S., Terveen, L., and Whittaker, S. (2004). People-To-People-to-Geographical-Places: The P3
  4. Rich, E. (1979). User Modeling via stereotypes. Cognitive Science 3.
  5. Kobsa, A. (2001). Generic User modeling systems. In User Modeling and User-Adapted Interaction. O ’ connor, M., Cosley, D., Konstan, J.A., And Riedl, J. (2001). PolyLens: A recommender system for groups of users. In Proceedings of the European Conference on Computer Supported Cooperative.
  6. Brajnik, G. And Tasso, C. (1994). A Shell for Developing Non-monotonic User Modeling Systems. International Journal of Human-Computer Studies.
  7. ICF. (2012). Http:// DASHDASH

These references have been extracted automatically and may have some errors. If you see a mistake in the references above, please contact