Marcin Zieinski

Papers

Total Citations

H-Index

About

Marcin Zieinski is a researcher whose work lies at the intersection of human-robot interaction and computer vision, with a particular focus on the subtle yet powerful role of eye gaze in communication. His primary research area explores how gaze direction can be detected and utilized as a natural interface between humans and machines, bridging the gap between spoken language and non-verbal cues. Zieinski’s major contribution is the development of a framework for gaze-triggered events, enabling robots and mobile devices to interpret human intentions, desires, and interests through eye movement alone. By leveraging both robot-mounted and mobile-device cameras, his approach makes gaze detection more accessible and practical for real-world applications, from assistive technologies to interactive robotics. While his most-cited paper, “Detecting Gaze Direction Using Robot-Mounted and Mobile-Device Cameras” (2019), has garnered 2 citations, its foundational nature suggests growing relevance as the field expands. Zieinski’s work is notable for its emphasis on making human-robot interaction more intuitive, reducing reliance on explicit commands and fostering more natural, empathetic exchanges. For students and researchers, his research offers a compelling glimpse into how machines can better understand us—not just through what we say, but through where we look.