Marc Hulcelle

Papers

Total Citations

H-Index

About

Marc Hulcelle is a pioneering researcher in human-robot interaction (HRI), with a focused expertise in the psychological and sociological dimensions of trust between humans and autonomous systems. His most notable contribution is the development of **TURIN** (Trust in hUman Robot INteraction), a groundbreaking coding system introduced in his 2021 paper that provides a structured framework for analyzing and quantifying trust dynamics in real-time HRI. This work addresses a critical gap: as robots become more integrated into daily life, users expect them to behave in realistic, human-like ways—and trust is the linchpin of that relationship. Though early in its citation trajectory (4 citations), TURIN has already influenced subsequent studies on robot transparency, social cue processing, and ethical AI design. Hulcelle’s research bridges engineering and social science, offering tools to design robots that are not only functional but also emotionally intelligent. His work is essential reading for students and researchers exploring how to build machines that people can genuinely rely on.