Papers
9
Total Citations
94
H-Index
7
About
Lydia Habib is a researcher specializing in human-machine cooperation, adaptive automation, and human-robot interaction, with particular emphasis on dynamic and high-stakes environments. Her work addresses one of modern technology's most pressing challenges: how to optimally distribute tasks between humans and machines to maximize safety, efficiency, and situational awareness. Habib's most cited contribution (19 citations) examines how levels of automation should adapt dynamically based on the type of cooperative partner, a framework she further extended to mobile robotics and crisis management contexts. Her 2021 paper on Manufacturing 4.0 (17 citations) bridges industrial transformation with human-centered design principles, exploring how Industry 4.0 technologies reshape human-machine cooperation on factory floors. Particularly innovative is her work on brain-computer interfaces (BCI) paired with emulated haptic feedback, offering people with tetraplegia meaningful control over robotic systems — demonstrating both technical ingenuity and profound social purpose. Her tangible tabletop research for crisis management further showcases her commitment to real-world, user-centered applications. With over 90 cumulative citations and publications spanning robotics, adaptive automation, and assistive technologies, Habib's research provides both theoretical frameworks and practical tools for designing safer, more intuitive human-machine systems in an increasingly automated world.
Research Focus
Key Achievements
Top Papers
- 1
- 2From Human-Human to Human-Machine Cooperation in Manufacturing 4.017 citations · 2021
- 3Human-Robots Team Cooperation in Crisis Management Mission13 citations · 2018
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- 9Human-robots cooperation through intelligent garment3 citations · 2017