Jan Cornelis

Papers

Total Citations

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About

Jan Cornelis is a pioneering researcher at the intersection of human-robot interaction and occupational psychology, with a primary focus on the psychosocial dynamics of collaborative robotics in industrial settings. Their most cited work, a 2024 pilot study on the relationship between acceptance of collaborative robots and stress, has garnered 4 citations, laying critical groundwork for understanding how human factors influence the successful integration of automation. Cornelis’s major contribution lies in empirically linking operator stress levels to technology acceptance, challenging the assumption that robot adoption is purely a technical or efficiency-driven process. By demonstrating that psychological strain can undermine trust and willingness to work alongside cobots, their research provides actionable insights for designing safer, more human-centered workplaces. This study serves as a foundational piece for future investigations into stress mitigation strategies and adaptive human-robot collaboration. Cornelis’s work is particularly notable for bridging engineering and behavioral science, offering a nuanced perspective that is increasingly vital as collaborative robots become ubiquitous in manufacturing. Their findings are essential reading for students and researchers exploring the human side of Industry 4.0, highlighting the need to prioritize worker well-being alongside technological advancement.