Carnegie Mellon University
My research focuses on collective intelligence in human and human-machine collaboration. My collaborators and I have developed different methods for measuring a group's collective intelligence, including traditional psychometric tests and behavioral indicators captured in digital environments. We conduct experiments and field and archival studies using various qualitative and quantitative methods to explore the factors that increase or decrease collective intelligence and interventions that could be used to enhance it. This work has been a foundation for our Transactive Systems Model of Collective Intelligence that guides our ongoing research and theorizing. Our work with AI-CARING expands our focus on asynchronous collaboration as it relates to distributed networks of caregivers.