Alyssa Milner

Papers

Total Citations

H-Index

About

Alyssa Milner is a researcher at the forefront of human-autonomy teaming, a critical field shaping how humans and intelligent systems collaborate effectively. Her work centers on developing novel metrics to quantify and enhance trust and cohesion within these hybrid teams—a challenge essential for applications in defense, healthcare, and autonomous systems. Milner’s most-cited paper, "Identifying New Team Trust and Team Cohesion Metrics that Support Future Human-Autonomy Teams" (2020), introduces innovative frameworks for measuring the subtle dynamics of human-machine interaction, moving beyond traditional team performance indicators. While her citation count is still building, this foundational work has already garnered attention for its practical implications in designing more reliable and intuitive autonomous partners. Milner’s contributions are particularly notable for bridging psychological team theories with engineering design, offering actionable insights for developers and operators. Her research is increasingly referenced in studies on trust calibration and adaptive automation, marking her as a rising voice in human factors engineering. For students and researchers, Milner’s work provides a clear roadmap for tackling the nuanced challenges of future human-autonomy collaboration.