Daniel E. Forster

United States Army Combat Capabilities Development Command

Papers

Total Citations

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About

Daniel E. Forster is a pioneering researcher in the emerging field of human-autonomy teaming, where his work is shaping how we understand trust and cohesion between humans and intelligent machines. His most influential contribution, a 2022 paper on "Trust Measurement in Human-Autonomy Teams," has garnered 38 citations and introduces a conceptual toolkit that addresses the unique challenges of collaboration with AI-enabled systems—a critical need as autonomous technologies become integral to rapid decision-making and shared situation awareness. Forster’s research also breaks new ground in measuring team dynamics, as seen in his 2023 study on the psychometric properties of team resilience and complementarity as cohesion factors. This work develops novel frameworks to assess how critical team states emerge and evolve when humans partner with autonomous agents, tackling a fundamental gap in team science. By providing rigorous measurement tools, Forster is not only advancing theoretical understanding but also enabling the practical design of more effective, resilient human-autonomy teams. His contributions are vital for students and researchers exploring the future of collaborative intelligence.