Giulia Bassi
Papers
1
Total Citations
10
H-Index
1
About
Giulia Bassi is a leading researcher at the intersection of human factors and advanced manufacturing, with a core focus on human-robot collaboration, cognitive ergonomics, and worker well-being in Industry 5.0 contexts. Her most cited work, a 2025 systematic review on workers’ well-being and cognitive load in human-cobot collaboration, has already garnered 10 citations, establishing a foundational framework for understanding how collaborative robots impact human operators. Bassi’s major contribution lies in shifting the narrative from purely technological efficiency to human-centric design, systematically analyzing how cobot integration affects cognitive load, stress, and overall worker satisfaction. Her research provides critical evidence for designing industrial systems that prioritize human well-being alongside productivity, directly supporting the Industry 5.0 paradigm. By synthesizing disparate studies, she has created a roadmap for future interventions and design guidelines that balance automation benefits with operator health. Bassi’s work is particularly notable for its timeliness, addressing the urgent need for empirical evidence as cobots become ubiquitous in manufacturing, and her findings are already informing both academic research and practical workplace implementations.
Research Focus
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Top Papers
- 1