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About

Hardik Chauhan is an emerging researcher at the intersection of human-robot collaboration (HRC), psychophysiology, and immersive virtual reality, with a particular focus on the construction industry. His work addresses one of the most pressing challenges in modern robotics: understanding and predicting the trust that human workers place in robotic collaborators. By leveraging machine learning alongside psychophysiological measures — such as physiological and psychological responses — Chauhan has developed innovative frameworks for quantifying and forecasting trust dynamics in real time. His most cited work, "Predicting human trust in human-robot collaborations using machine learning and psychophysiological responses" (2024, 36 citations), demonstrates how data-driven approaches can decode nuanced human states during collaboration. Complementing this, his research in immersive virtual construction environments has garnered 32 citations, highlighting how virtual reality serves as a powerful testbed for studying worker-robot interaction safely and systematically. His third notable paper explores workers' broader physiological and psychological responses during HRC, addressing critical industry concerns around productivity, safety, and labor shortages. With over 75 combined citations across publications released in a single year, Chauhan's contributions are rapidly shaping how researchers and industry practitioners design safer, more trust-aware human-robot systems.