Distributed collaborative teams increasingly rely on online tools for interaction and communication for both social and task-oriented goals. We are expanding recent work linking emotion and affect to collaboration and creativity in order to model how this collaborative communication takes place by examining real-world examples, specifically from the chat logs of an international astrophysics collaboration.
We aim to understand how team members express affect and emotion in this medium and the impact that these expressions have on group dynamics, creativity, and problem solving. Current work in this area is focused on creating a framework of distributed affect and describing its operation through the use of five features: transference, resonance, pervasiveness, persistence, and representation. We believe this framework will have a significant impact on the study of computer-supported group work, the design of interfaces for collaborative software, and potentially for the study of sociotechnical systems in general.
Researchers
Taylor Jackson Scott, University of Washington, Phd Candidate, Human Centered Design and Engineering
Daniel B. Perry, Daniel B. Perry, UC Berkeley, School of Information, Postdoctoral Fellow
Dr. Alison Williams, Ravensbourne College, London, Research Associate
Dr. Cecilia Aragon, UW, Associate Professor, HCDE
Past Contributors:
Michael Brooks, UW, PhD Candidate, HCDE
Katie Kuksenok, UW, PhD Candidate, Computer Science and Engineering
John Robinson, UW, PhD Student, HCDE
Ona Anicello, UW, Masters Student, HCDE
Megan Torkildson, UW, Undergraduate Student, HCDE
Publications
Scott, T.J., Perry, D., Williams, A., and Aragon, C.R. Beyond the Individual: The Dynamic Features of Distributed Affect. In Proceedings of the 19th International Conference on Supporting Group Work (GROUP ’16). ACM, New York, NY, USA, 9-19. doi: 10.1145/2957276.2957277
Scott, T.J. Distributed affect as a framework for understanding creative collaboration. In Proceedings of the 2015 ACM SIGCHI Conference on Creativity and Cognition (C&C ’15), ACM (2015), 335-336. doi: 10.1145/2757226.2764768.
Brooks, M., Kuksenok, K., Torkildson, M.K., Perry, D., Robinson, J.J., Scott, T. J., Anicello, O., Zukowski, A., Harris, P., and Aragon, C.R. Statistical affect detection in collaborative chat. In Proceedings of the 2013 Conference on Computer Supported Cooperative work (CSCW ’13), ACM, (2013), 317-328. doi: 10.1145/2441776.2441813.
Scott, T.J., Kuksenok, K., Perry, D., Brooks, M., Anicello, O., and Aragon, C. Adapting grounded theory to construct a taxonomy of affect in collaborative online chat. In Proceedings of the 30th ACM International Conference on Design of Communication (SIGDOC ’12), ACM (2012), 197-204. doi: 10.1145/2379057.2379096.
