Yasmeen Hashish
Papers
3
Total Citations
50
H-Index
2
About
Yasmeen Hashish’s research lies at the intersection of human-robot interaction (HRI) and surgical robotics, with a focus on designing intuitive interfaces and optimizing training methods for remote and medical robotic systems. Her most cited work, “An interface for remote robotic manipulator control that reduces task load and fatigue” (2013, 38 citations), addresses a critical challenge in HRI: how to minimize operator cognitive load and physical strain during teleoperation. By proposing a novel interface design, Hashish contributed to safer and more efficient control of robots used in search, rescue, and reconnaissance. In a notable shift toward medical applications, her 2020 study “Training novice robot surgeons: Proctoring provides same results as simulator-generated guidance” (12 citations total) demonstrated that human proctoring yields equivalent skill acquisition to automated simulator feedback for novice surgeons. This finding has practical implications for reducing training costs while maintaining quality. Though her citation counts are modest, Hashish’s work bridges foundational HRI principles with real-world surgical training, offering actionable insights for both interface designers and medical educators.
Research Focus
Key Achievements
Top Papers
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