Adriana Sampaio
Papers
2
Total Citations
26
H-Index
2
About
Adriana Sampaio is a leading researcher at the intersection of cognitive neuroscience and human-robot interaction, whose work bridges the gap between physiological sensing and collaborative robotics. Her research primarily focuses on understanding mental workload in human-robot collaboration (HRC) and the neural mechanisms of tactile perception. Her most impactful contribution, "Capturing Mental Workload Through Physiological Sensors in Human–Robot Collaboration: A Systematic Literature Review" (2025, 22 citations), provides a comprehensive framework for using physiological signals—such as heart rate and skin conductance—to assess cognitive demands in real-time HRC settings, offering critical insights for designing safer, more efficient industrial systems. In parallel, her study "The effects of C-tactile stimulation on temporal summation of second pain" (2024, 4 citations) explores the neural correlates of gentle touch and pain modulation, revealing how peripheral and central pathways interact. This dual focus on applied robotics and fundamental neuroscience showcases her versatility, with her work informing both ergonomic design and clinical pain research. A rising scholar, Sampaio’s systematic review has already become a key reference for engineers and psychologists seeking to optimize human-robot teamwork through adaptive, sensor-based monitoring.
Research Focus
Key Achievements
Top Papers
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