Advancing the science of human–AI teaming through experimental studies of collaboration, communication, and inclusion.
TRAIL (Team Research and AI Integration Lab) is a research platform developed by Language and Learning Analytics lab under UC Irvine School of Education for studying how humans and AI can work together as teammates — not just tools — to enhance innovation, creativity, and inclusion in collaborative problem-solving, with support from the Jacobs Foundation, CIFAR, the Bill & Melinda Gates Foundation, and the Spencer Foundation.
[Video Demo Coming soon!]
Scalable, replicable experiments on team cognition and decision-making.
TRAIL enables RCT-style studies that vary task structure, group composition, and AI teammate behavior. These simulations produce rich datasets for studying innovation, bias, and socio-emotional regulation in teams.
Modeling the cognitive, emotional, and social processes of teamwork.
We analyze team discourse using computational linguistics and learning analytics to identify markers of productive, inclusive, and adaptive collaboration. Findings inform real-time feedback systems that help humans and AI coordinate effectively.
Understanding how AI can foster equity, trust, and belonging in teamwork.
Generative AI agents participate as teammates in controlled studies. By varying AI persona and communication style, we study how different behaviors influence participation balance, trust, and inclusion in mixed human–AI groups.