David Pinelle College of Medicine, University of Saskatchewan

Publications

The Emergence of High-Speed Interaction and Coordination in a (Formerly) Turn-based Groupware Game
Barjawi, M., Gutwin, C., Pinelle, D. (2016), Proceedings of the ACM Conference on Supporting Group Work (Group 2016), ISBN 978-1-4503-4276-6. <doi:10.1145/2957276.2957315>
The Effects of View Portals on Performance and Awareness in Co-Located Tabletop Groupware
Pinelle, D., Gutwin, C. (2015), Proceedings of the ACM Conference on Computer Supported Cooperative Work (CSCW 2015), ISBN 978-1-4503-2922-4. 195-206. <doi:10.1145/2675133.2675196>
Individual and Group Support in Tabletop Interaction Techniques
Nacenta, M., Pinelle, D., Gutwin, C., Mandryk, R. (2010), Tabletops - Horizontal Interactive Displays, London: Springer.
Looking Ahead: A Comparison of Page Preview Techniques for Goal-Directed Web Navigation
Genest, A., Gutwin, C., Reetz, A., Mandryk, R., Pinelle, D., Doucette, A. (2009), INTERACT 2009, vol. 5726, Lecture Notes in Computer Science. Uppsala, Sweden. 378-391. <doi:10.1007/978-3-642-03655-2_42>
An Evaluation of Coordination Techniques for Protecting Objects and Territories in Tabletop Groupware
Pinelle, D., Barjawi, M., Nacenta, M., Mandryk, R. (2009), Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2009), Boston, MA, USA. 2129-2138. <doi:10.1145/1518701.1519025>
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Research

Interaction Techniques for Digital Tables
Digital tables allow people to interact with computer workspaces that are projected onto tabletops.
Evaluating Groupware Usability
Many organizations, particularly in the design and manufacturing sectors, are becoming increasingly distributed.
Game Heuristics
Video gaming is a common and popular entertainment. The primary goal of video games is to entertain and engage users.
Designing Groupware to Support Loosely Coupled Workgroups
Loosely coupled workgroups - where workers are autonomous and weakly interdependent - are common in the real world.
Visualizing Protein-Protein Interaction Datasets
2-hybrid analysis datasets show the level of interaction between protein pairs in cells. However, it is often difficult for biologists to make sense of the patterns and relationships contained in the raw data.