Papers
34
Total Citations
473
H-Index
13
About
Antonio Andriella is a prominent researcher at the intersection of human-robot interaction, social robotics, and artificial intelligence, with particular expertise in endowing robots with socially intelligent, personality-driven behaviors. His work has made significant strides in understanding how robots can be designed to better serve vulnerable populations, including elderly individuals requiring cognitive care, as well as consumers in service-oriented environments. Among his most influential contributions is his research on context-dependent robot personality modeling, which has accumulated over 52 citations and demonstrated how adaptive personality traits can meaningfully enhance interaction quality. His CARESSER framework represents a landmark achievement in collaborative robot design, integrating expert knowledge and real-world demonstrations to improve socially assistive robots for cognitive therapy applications. Andriella has also pioneered investigations into how consumer characteristics — including gender, rational thinking style, and personal traits — shape acceptance of social robots, work that carries direct implications for commercial deployment and healthcare policy. With a body of research spanning simulation-based policy learning, short-term interaction adaptability, and customer experience assessment, Andriella's cumulative citation impact exceeds 330 references. His scholarship bridges technical robotics and social science, making him a uniquely versatile voice shaping the future of human-centered robot design.
Research Focus
Key Achievements
Top Papers
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- 5Short-Term Human–Robot Interaction Adaptability in Real-World Environments31 citations · 2019
- 6Deciding the different robot roles for patient cognitive training29 citations · 2018
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