Feedback for guiding reflection on teamwork practices

Effective communication in project teams is important, but not often taught. We explore how feedback might improve teamwork in a controlled experiment where groups interact through chat rooms. Collaborators who receive high feedback ratings use different language than poor collaborators (e.g. more words, fewer assents, and less affect-laden language). Further, feedback affects language use. This suggests that a system could use linguistic analysis to automatically provide and visualize feedback to teach teamwork. To this end, we present GroupMeter, a system that applies principles discovered in the experiment to provide feedback both from peers and from automated linguistic analysis. Categories and Subject Descriptors H.5.3 [Information Interfaces and Presentation]: Group and Organization Interfaces

• Type: Conference
• Year: 2007
• Where: GROUP
• Authors: Gilly Leshed, Jeffrey T. Hancock, Dan Cosley, Poppy L. McLeod, Geri Gay
• Keywords: Applied Computing, Feedback, Feedback Affects Language, GROUP 2007, Linguistic Analysis