Papers

14

Total Citations

143

H-Index

7

About

Giovanni Luca Masala is a multidisciplinary researcher whose work sits at the compelling intersection of social robotics, artificial intelligence, and human-centred care. His most prominent contributions focus on the integration of robotic and AI systems into healthcare settings, particularly for older adults and people living with dementia. His widely cited studies — including "Friendly But Faulty" (43 citations) and "I am Robot, Your Health Adviser for Older Adults" (26 citations) — probe critical questions around trust, acceptability, and the ethical deployment of social robots in ageing-in-place contexts, making him a notable voice in silver care research. Beyond social robotics, Masala demonstrates impressive breadth, extending his expertise to industrial robotics through work on anomaly detection, pose estimation, and deep learning frameworks for dynamic manufacturing environments. More recently, his research has expanded into environmental science, with a 2025 paper exploring how robotic and autonomous systems can revolutionise terrestrial biodiversity monitoring amid escalating ecological crises. With a cumulative citation profile spanning healthcare technology, cognitive architectures, and ecological applications, Masala exemplifies the kind of cross-domain robotics researcher whose work carries both immediate societal relevance and long-term scientific significance. His growing influence makes him an important figure for students exploring human-robot interaction and AI-driven assistive technologies.

Research Focus

Key Achievements

7
H-Index
14
Papers
143
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Friendly But Faulty: A Pilot Study on the Perceived Trust of Older Adults in a Social Robot
43 citations · 2022
📈 Most Prolific Year: 2020 (4 Papers)
🤝 Key Collaborators: 124
🏛 Institutions: University of Kent, Manchester Metropolitan University, University of Plymouth

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago