Siu Shing Man
Papers
2
Total Citations
8
H-Index
2
About
Siu Shing Man is a pioneering researcher at the forefront of human-robot collaboration (HRC) and construction safety, with a focus on bridging the gap between advanced automation and human factors. His key research areas include human error identification, risk prioritization, and the psychological acceptance of collaborative robots in high-stakes environments like manufacturing and construction. Man’s major contributions lie in developing robust models that systematically identify and assess human error risks in HRC settings, as exemplified by his most-cited work, "Human Error Identification and Risk Prioritization in Human–Robot Collaboration in Manufacturing" (2025, 5 citations). This study provides a critical framework for enhancing reliability by prioritizing error-prone tasks, directly impacting safety protocols in industry. Additionally, his work "Construction Collaborative Robots Acceptance Amongst Construction Workers: Role of Initial Trust and Risk Perception" (2025, 3 citations) explores the pivotal role of trust and risk perception in technology adoption, offering actionable insights for integrating cobots into construction workflows. With growing citation impact, Man’s research is shaping how industries implement safe, human-centric automation, making him a key voice in the evolving dialogue between workers and intelligent machines.
Research Focus
Key Achievements
Top Papers
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