Greg Gremillion
Papers
1
Total Citations
6
H-Index
1
About
Greg Gremillion is a researcher at the forefront of human-machine teaming and psychophysiological computing, with a focus on how implicit physiological signals can enhance communication within mixed-initiative teams. His most cited work, "The Role of Psychophysiological Measures as Implicit Communication Within Mixed-Initiative Teams" (2018), has garnered 6 citations and represents a key contribution to understanding how biometric data—such as heart rate or skin conductance—can serve as a non-verbal channel for conveying operator state, intent, or cognitive load in collaborative human-robot systems. This research bridges cognitive science and engineering, offering a pathway toward more adaptive and intuitive autonomous systems that respond to human operators' unspoken needs. Gremillion’s work is particularly notable for its interdisciplinary approach, integrating psychophysiology with artificial intelligence to improve team performance and trust in high-stakes environments like defense or disaster response. His contributions are shaping the next generation of human-autonomy interaction, where machines not only follow commands but also perceive and react to human emotional and cognitive states.
Research Focus
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Top Papers
- 1