Zuhair Ahmed
Papers
1
Total Citations
4
H-Index
1
About
Dr. Zuhair Ahmed is a pioneering researcher in human-machine interaction, with a focus on gaze-based control systems for assistive and autonomous technologies. His work centers on expanding the bandwidth of communication between humans and machines, particularly in scenarios where traditional hand-based input is impractical or impossible. His most cited paper, "Mobile Robot Navigation using Gaze Contingent Dynamic Interface" (2010, 4 citations), introduces a novel interface design that leverages eye movements as a primary input modality for controlling mobile robots. This research addresses critical interface design requirements for gaze-contingent systems, offering a foundation for more intuitive and accessible control environments. By demonstrating how eye tracking can enable seamless navigation, Dr. Ahmed’s contributions have implications for assistive technologies, rehabilitation, and human-robot collaboration. His work highlights the potential of gaze as a powerful tool for enhancing interaction in dynamic, real-world settings, making him a notable figure in the evolving field of non-manual control interfaces.
Research Focus
Key Achievements
Top Papers
- 1Mobile Robot Navigation using Gaze Contingent Dynamic Interface4 citations · 2010