Nicolas Régis

Papers

Total Citations

H-Index

About

Dr. Nicolas Régis is a leading researcher in human-robot interaction and cognitive ergonomics, with a specialized focus on the detection and analysis of operator cognitive states during supervisory control tasks. His most influential work, "Ocular metrics for detecting attentional tunnelling" (2012, 8 citations), makes a pivotal contribution to understanding how human operators experience attentional tunnelling—a dangerous narrowing of focus—when supervising robots. In this foundational paper, Régis not only surveys existing ocular metrics but also introduces an innovative fixation detection algorithm that enables real-time monitoring of this critical cognitive state. His research bridges the gap between cognitive psychology and robotics, providing practical tools for enhancing safety and performance in high-stakes environments such as remote operation and autonomous systems. By leveraging eye-tracking data, Régis has advanced the field's ability to predict and mitigate operator errors, making his work essential reading for researchers in human factors engineering, cognitive science, and human-robot teaming. His contributions continue to shape how we design interfaces that keep human operators engaged and aware.