Federal Project Grant Award Summary

The National Science Foundation (NSF) Office of Multidisciplinary Activities awarded $890,113 to the University of Florida Division of Sponsored Research on August 1, 2026, under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) to conduct a three-year research project examining metacognitive sensitivity in human-artificial intelligence (AI) joint decision-making. The project delivers empirical research findings and computational models that identify the conditions under which human-AI teams make effective collaborative decisions. Through a series of behavioral experiments conducted through July 31, 2029, the research systematically evaluates how AI confidence levels, accuracy, and communication mechanisms influence human reliance on AI recommendations and joint decision outcomes across static and dynamic operational environments.

The project produces validated scientific knowledge on two key metacognitive properties—metacognitive sensitivity (the alignment between confidence and decision correctness) and metacognitive calibration (the appropriateness of confidence relative to actual performance)—along with predictive computational models of decision-making and learning processes that support effective human-AI collaboration. Findings from this basic research are intended to inform design principles for AI systems deployed in high-stakes domains including medicine, education, science, business, and national security, ultimately providing guidance for developing AI tools that enhance human learning and decision quality when humans and machines work jointly on critical decisions.