Dan Foti

Papers

Total Citations

H-Index

About

Dan Foti is an emerging researcher whose work sits at the intersection of human-robot interaction, cognitive neuroscience, and affective computing. His research focuses on understanding and managing the cognitive and emotional demands placed on human operators working within complex multi-human, multi-robot (MH-MR) systems — a rapidly evolving frontier in collaborative robotics and autonomous systems. Foti's most notable contributions center on developing intelligent frameworks for affective workload allocation, designing systems that dynamically assess cognitive load and redistribute task demands across human-robot teams to optimize performance in high-stakes scenarios such as remote monitoring and exploration. His work on SMART-TeleLoad, a specialized graphical user interface for generating and measuring affective loads during teleoperation, addresses a critical gap in HRI research tooling, providing scientists and engineers with practical instruments to study operator stress and cognition with greater precision. Although his publication record is still early-stage, with his most-cited works accumulating citations in the range of three to five, Foti's research tackles timely and consequential questions about human-machine teaming. Students exploring adaptive automation, cognitive ergonomics, or the future of collaborative robotics will find his contributions both methodologically innovative and practically grounded.