David Rozado

Commonwealth Scientific and Industrial Research Organisation

Papers

Total Citations

H-Index

About

David Rozado’s research lies at the intersection of human-robot interaction, assistive technology, and cognitive science, with a strong focus on gaze-based control systems. His early work on teleoperation interfaces, particularly the 2015 study comparing visual and manual control modalities for robotic pick-and-place tasks, demonstrated how eye tracking can serve as a viable alternative to traditional joystick or keyboard inputs, achieving 17 citations for its practical design insights. He further advanced low-cost accessibility by developing a monocular eye-tracking system for human-robot gaze estimation, enabling joint workspaces without expensive hardware. Beyond robotics, Rozado has made notable contributions to understanding online misinformation and ideological bias, using computational tools to analyze media ecosystems and cognitive vulnerabilities. His interdisciplinary approach—spanning engineering, psychology, and data science—has produced impactful work on attention dynamics and digital literacy. With a career marked by bridging technical innovation and societal challenges, Rozado’s research continues to influence both human-robot collaboration and the study of information consumption patterns.