Angelo Ranieri
University of Naples Federico II, Federico II University Hospital
Papers
3
Total Citations
19
H-Index
3
About
Angelo Ranieri investigates the human side of service robotics, focusing on how people accept, reject, and collaborate with robots in real-world settings. His work bridges technology adoption and service system design, with a particular emphasis on understanding the social and psychological factors that determine robot integration success. Ranieri’s most influential contribution is the SAR model (Service robot Acceptance/Rejection), developed through qualitative research that shifts the conversation from speculative futures to practical, present-day opportunities for robot deployment. This foundational work has garnered 9 citations and established a framework for understanding user resistance. His research on human–robot collaboration (HRC) from a systems and learning perspective (7 citations) further explores how robotic technologies transform work practices, particularly in customer care environments. Most recently, Ranieri has examined the role of interaction modality in educational robotics, comparing voice-based versus text-based systems to understand their differential effects on student engagement across cognitive, emotional, and behavioral dimensions. His work is notable for its methodological rigor and practical orientation, offering actionable insights for designers and managers implementing robotic systems in service and educational contexts.
Research Focus
Key Achievements
Top Papers
- 1Understanding robot acceptance/rejection: the SAR model9 citations · 2020
- 2A system and learning perspective on human–robot collaboration7 citations · 2024
- 3