Monitoring email to indicate project team performance and mutual attraction

Authors:
Sean A. Munson;Karina Kervin;Lionel P. Robert, Jr.
Affiliations:
University of Washington, Seattle, WA, USA;University of Michigan, Ann Arbor, MI, USA;University of Michigan, Ann Arbor, MI, USA
Venue:
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
Year:
2014

Citing 11
Cited 0

Groupware and social reality

ACM SIGCAS Computers and Society
Groupware and social dynamics: eight challenges for developers

Communications of the ACM
FASTDash: a visual dashboard for fostering awareness in software teams

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Linguistic mimicry and trust in text-based CMC

Proceedings of the 2008 ACM conference on Computer supported cooperative work
Visualizing real-time language-based feedback on teamwork behavior in computer-mediated groups

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Individual Swift Trust and Knowledge-Based Trust in Face-to-Face and Virtual Team Members

Journal of Management Information Systems
Group reactions to visual feedback tools

PERSUASIVE'07 Proceedings of the 2nd international conference on Persuasive technology
Wikis at work: success factors and challenges for sustainability of enterprise Wikis

Proceedings of the 6th International Symposium on Wikis and Open Collaboration
Antecedents of knowledge transfer from consultants to clients in enterprise system implementations

MIS Quarterly
Echoes of power: language effects and power differences in social interaction

Proceedings of the 21st international conference on World Wide Web
Improving teamwork using real-time language feedback

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

Many managers and mentors for project teams desire more efficient and more effective ways of monitoring and predicting the quality of social relationships and the performance of teams under their purview. A previous study found that one form of linguistic mimicry, linguistic style matching, and some lexical features indicated team performance and mutual attraction in short-term, laboratory tasks. In this paper, we evaluate whether these measures also work as indicators for performance, shared understanding, and team trust in longer-duration project teams, using only limited, unobtrusively obtained communication traces. In our four-month evaluation using student project team emails, we found no support for LSM or most of the previously identified measures as practical indicators in our field setting. We did find some support for using future-oriented words to indicate team performance over time.