Papers
2
Total Citations
26
H-Index
2
About
Alessandro Caputo is a researcher at the intersection of digital pathology and human-robot interaction, exploring how technology transforms both medical diagnostics and customer service. His most cited work, "Digital Pathology" (2021, 19 citations), examines the implications of adopting digital pathology for routine diagnosis, highlighting how digital slides enable precise measurements and streamline clinical workflows—a contribution that underscores the shift toward data-driven, efficient pathology practices. In a complementary vein, his study "Investigating Customers' Preferences of Robot's Serving Styles" (2022, 7 citations) investigates how robot waiters’ service styles influence customer perceptions, analyzing responses from 53 participants to video interactions. This work reveals nuanced preferences in robotic service delivery, offering insights for designing more acceptable and engaging autonomous systems in food industries. Caputo’s research bridges technical innovation and human experience, demonstrating impact through citations that reflect growing interest in both digital health and social robotics. His ability to address practical challenges—from diagnostic accuracy to customer satisfaction—positions him as a forward-thinking contributor to technology’s role in everyday life, making his work valuable for students and researchers exploring the human-tech interface.
Research Focus
Key Achievements
Top Papers
- 1Digital Pathology19 citations · 2021
- 2Investigating Customers' Preferences of Robot's Serving Styles7 citations · 2022