Papers
8
Total Citations
86
H-Index
5
About
J. Stanley Metcalfe is a leading researcher in human-autonomy teaming, with a focus on trust, communication, and decision-making in military and tactical environments. His work bridges the gap between human factors engineering and artificial intelligence, exploring how humans and autonomous systems can collaborate effectively under high-stakes conditions. Metcalfe’s most-cited paper, “Trust Measurement in Human-Autonomy Teams: Development of a Conceptual Toolkit” (2022, 38 citations), provides foundational frameworks for assessing trust in mixed-initiative teams. He has also contributed to understanding trust repair in human-robot interaction, as seen in his 2025 study on trust violations due to error versus choice. His research extends to psychophysiological measures, including EEG-based brain-computer interfaces for autonomous control, and field testing of tele-operation and shared control for military assets. Metcalfe’s work on the US Army Robotic Wingman gunnery operations (2019) and his 2021 paper on human-autonomy teaming for the tactical edge highlight the critical role of humans in AI development. With over 80 citations across his key publications, Metcalfe’s contributions are shaping the future of secure, effective human-autonomy collaboration in defense and robotics.
Research Focus
Key Achievements
Top Papers
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- 6EEG based BCI for Autonomous Control: A Review5 citations · 2023
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