CI-Lab@CMU

In our research, we find that groups can be characterized by their collective intelligence, or their ability to work together on a range of tasks. We further find that a group's level of collective intelligence is strongly influenced by group composition and group structure. These in turn shape an interconnected system of individual and group level cognitions and behavioral processes (depicted above) which manifest in a series of three different systems -- a transactive reasoning system (TRS), a transactive attention system (TAS) and a transactive memory system (TMS). We draw on extant research on TRS and TMS, and have studies underway to further develop our understanding of TAS.

Below are listed some of the papers we have written which touch on each of these issues (papers may be listed in multiple places when addressing multiple issues).

Composition and Collective Intelligence

Social Perceptiveness

Chikersal, P., Tomprou, M., Kim, Y. J., Woolley, A., & Dabbish, L. (2017). Deep structures of collaboration: Physiological correlates of collective intelligence and group satisfaction. Proceedings of the 20th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW 2017). link

Engel, D., Woolley, A. W., Jing, L. X., Chabris, C. F., & Malone, T. W. (2014). Reading the mind in the eyes or reading between the lines? Theory of mind predicts collective intelligence equally well online and face-to-face. PLoS ONE, 9(12), e115212. link

Kim, Y. J., Engel, D., Woolley, A. W., Lin, J., McArthur, N., & Malone, T. W. (2017). What makes a strong team? Using collective intelligence to predict performance of teams in League of Legends. Proceedings of the 20th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW 2017). link

Woolley, A. W., Chabris, C. F., Pentland, A., Hashmi, N., & Malone, T. W. (2010). Evidence for a collective intelligence factor in the performance of human groups. Science, 330(6004), 686–688. link

Gender

Engel, D., Woolley, A. W., Jing, L. X., Chabris, C. F., & Malone, T. W. (2014). Reading the mind in the eyes or reading between the lines? Theory of mind predicts collective intelligence equally well online and face-to-face. PLoS ONE, 9(12), e115212. link

Woolley, A. W., Chabris, C. F., Pentland, A., Hashmi, N., & Malone, T. W. (2010). Evidence for a collective intelligence factor in the performance of human groups. Science, 330(6004), 686–688. link

Cognitive Diversity

Aggarwal, I., Woolley, A. W., Chabris, C. F., & Malone, T. W. (2019). The impact of cognitive style diversity on implicit learning in teams. Frontiers in Psychology, 10, 112. link

Aggarwal, I., & Woolley, A. W. (2019). Team creativity, cognition, and cognitive style diversity. Management Science, 64(4), 1586–1599. link

Ethnic Diversity

Chikersal, P., Tomprou, M., Kim, Y. J., Woolley, A., & Dabbish, L. (2017). Deep structures of collaboration: Physiological correlates of collective intelligence and group satisfaction. Proceedings of the 20th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW 2017). link

Structure and Collective Intelligence

Hybrid structure and brainstorming: Ostrowski, B., Woolley, A. W., & Haan, K.-W. (2019). Group Brainstorming: The Effects of Collective Intelligence, Individual Ability, and Task Structure. Proceedings of Collective Intelligence 2019. ACM Collective Intelligence 2019. link

Leadership structure stability: Woolley, A. W., Chow, R. M., Mayo, A. T., Chang, J. W., & Riedl, C. (2017). Hierarchy, sex composition, synchrony and collective intelligence. Paper presented at the 2017 INGRoup Conference, St. Louis, MO. link

Artificial Intelligence, Collective Intelligence and Group Process

Eadeh, F., Ostrowski, B. & Woolley, A.W. (2021). Misery loves company: The implications of mood for affiliation and collective intelligence in remote collaboration. Presented at the Interdisciplinary Network for Group Research (INGRoup) Virtual Conference October 2021 link

Glikson, E., Woolley, A. W., Gupta, P., & Kim, Y. J. (2019). Visualized automatic feedback in virtual teams. Frontiers in Psychology. link

Gupta, P., Kim, Y. J., Glikson, E., & Woolley, A. W. (2019). Digitally nudging team processes to enhance collective intelligence. Proceedings of Collective Intelligence 2019. link