Papers
11
Total Citations
459
H-Index
5
About
Rino Falcone is a prominent researcher whose work sits at the intersection of trust theory, cognitive modeling, and human-robot interaction (HRI). He is perhaps best known for his foundational 2010 book, *Trust Theory: A Socio-Cognitive and Computational Model*, which has garnered nearly 400 citations and remains a landmark contribution to understanding trust as both a social and computational phenomenon in autonomous agent-based systems. This work established a rigorous framework for modeling trust dynamics that continues to influence researchers across artificial intelligence, multi-agent systems, and social science. Building on this theoretical foundation, Falcone has increasingly directed his attention toward the practical challenges of deploying socially intelligent robots in real-world environments such as museums, healthcare settings, and educational contexts. His recent research explores how robots can achieve trustworthiness and transparency through adaptive, cognitively rich architectures — a concept he terms "adjustable social autonomy." His investigations into how robot competence, personality, and autonomy shape human trust formation reflect a sophisticated, empirically grounded approach. Together, his body of work demonstrates a sustained commitment to bridging abstract trust theory and the concrete demands of human-robot collaboration, making him a significant voice in the evolving field of socially intelligent autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Trust Theory: A Socio-Cognitive and Computational Model393 citations · 2010
- 2Towards trustworthiness and transparency in social human-robot interaction14 citations · 2020
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- 5Introduction: Anticipation in Natural and Artificial Cognition6 citations · 2008
- 6Human-robot interaction through adjustable social autonomy5 citations · 2022
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- 8The Role of Trust in Dependence Networks: A Case Study4 citations · 2023
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