Silvia Salcuni
Papers
1
Total Citations
10
H-Index
1
About
Silvia Salcuni’s research lies at the intersection of human–robot interaction, cognitive ergonomics, and occupational well-being, with a focus on the evolving landscape of Industry 5.0. Her most cited work, a 2025 systematic review on workers’ well-being and cognitive load in human–cobot collaboration, synthesizes evidence from manufacturing contexts to highlight how collaborative robots (cobots) can be designed to prioritize human centricity—balancing productivity with psychological and physical health. This review, already garnering 10 citations, underscores her contribution to shaping frameworks that assess cognitive load and well-being in real-world industrial settings. Salcuni’s research is notable for bridging engineering and psychology, offering practical insights for cobot implementation that reduce operator strain while enhancing efficiency. Her work is increasingly influential among researchers and practitioners in human factors engineering and occupational health, providing a foundation for future studies on sustainable automation. Through her systematic approach, Salcuni advances the goal of Industry 5.0: technology that serves people, not the other way around.
Research Focus
Key Achievements
Top Papers
- 1