Luigi Bove

Papers

Total Citations

H-Index

About

Luigi Bove is a researcher whose work sits at the intersection of human-robot interaction (HRI) and ambient assisted living, with a particular focus on how robots can better understand and adapt to human behavior. His most influential contribution, the 2017 paper "User’s Personality and Activity Influence on HRI Comfortable Distances" (64 citations), explores how individual personality traits and ongoing activities shape the physical distance people find comfortable when interacting with robots. This work provides foundational insights for designing socially aware robots that respect personal space, a critical factor for acceptance in domestic and healthcare settings. Bove also contributed to activity recognition with his 2018 paper "A Two-Step Framework for Novelty Detection in Activities of Daily Living" (5 citations), which addresses the challenge of identifying unusual or risky behaviors in smart home environments—a key step toward proactive elder care. While his citation counts reflect a focused, early-career impact, Bove’s research is notable for bridging psychological theory with practical robotics, offering a human-centered perspective that informs both robot design and ambient intelligence systems. His work is particularly relevant for students and researchers interested in socially adaptive robots and intelligent environments that support independent living.