Jeff Dyck University of Saskatchewan

Publications

Adaptive Forward Error Correction for Real-Time Groupware
Dyck, J., Gutwin, C., Makaroff, D. (2012), ACM Group 2012, Sanibel Island, FL.
Supporting Informal Collaboration in Shared-Workspace Groupware
Gutwin, C., Greenberg, S., Blum, R., Dyck, J., Tee, K., McEwan, G. (2008), Journal of Universal Computer Science. <doi:10.3217/jucs-014-09-1411>
Beyond the LAN: Techniques from Network Games for Improving Groupware Performance
Dyck, J., Gutwin, C., Graham, T., Pinelle, D. (2007), Proceedings of the ACM Conference on Organizational Computing and Groupware Technologies, 291-300. <doi:10.1145/1316624.1316669>
Improving Network Efficiency in Real-Time Groupware with General Message Compression
Gutwin, C., Fedak, C., Watson, M., Dyck, J., Bell, T. (2006), Proceedings of the ACM Conference on Computer-Supported Cooperative Work, 119-128.
Cutouts: Flexible Workspace Management For Tabletop Groupware
Pinelle, D., Dyck, J., Stach, T., Gutwin, C. (2006), Video Proceedings of CSCW 2006.
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Research

Forward Error Correction for Groupware
Real-time distributed groupware sends several kinds of messages with varying quality-of-service requirements.
Groupware Toolkit for C#
The GT library is a groupware toolkit with two goals: to simplify the development of real-time distributed groupware, and to improve the performance of distributed applications.
Improving Network QoS in Groupware
When groupware is used over the Internet, latency, jitter, loss, limited bandwidth, and other factors cripple performance, resulting in what users call "lag".
General Compression Techniques for Small, Frequent Messages
Groupware communicates by sending messages across the network, and groupware programmers use a variety of formats for these messages, such as XML, plain text, or serialized objects.
Visualizing Microarray Data
Visualization tools used to visualize microarray data have problems that limit data exploration. We developed GeneSaw, a microarray visualization workbench designed to increase the efficiency of exploring microarray data.
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