Antonella Delle Fave

University of Milan

Papers

4

Total Citations

135

H-Index

4

About

Antonella Delle Fave is a leading researcher at the intersection of human factors, industrial robotics, and occupational well-being. Her work centers on understanding and optimizing the quality of experience for workers in human-robot collaboration (HRC) environments, particularly in manufacturing. Delle Fave’s major contributions include pioneering frameworks that prioritize mental and physical health alongside productivity. Her highly cited 2023 scoping review (72 citations) systematically mapped the relationship between mental workload and cobot interaction, while her 2022 review (40 citations) applied the SHELLO model to identify factors affecting cobot workers’ well-being. She has also developed innovative technical solutions, such as a human-driven control architecture (2021, 17 citations) that adapts cobot behavior to promote good mental health, and a socially interactive industrial robot concept (2025) that uses an embodied avatar for emotional co-regulation and flow experiences. Delle Fave’s work is notable for bridging engineering and psychology, offering actionable insights for designing collaborative systems that are not only efficient but also supportive of human flourishing. Her research is essential reading for anyone interested in the future of human-centered automation and sustainable Industry 5.0 workplaces.

Research Focus

Key Achievements

4
H-Index
4
Papers
135
Total Citations
34
Avg Citations/Paper
🏆 Most Cited Paper
Mental Workload and Human-Robot Interaction in Collaborative Tasks: A Scoping Review
72 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 26
🏛 Institutions: University of Milan

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago