Xingnan Li
Papers
1
Total Citations
8
H-Index
1
About
Xingnan Li is a pioneering researcher in ethorobotics and human-animal-robot interaction, with a focus on understanding the mechanisms of social bonding across species and machines. Their most-cited work, "Social bonding between humans, animals, and robots: Dogs outperform AIBOs, their robotic replicas, as social companions" (2025, 8 citations), provides a foundational comparison of attachment behaviors toward living animals versus robotic counterparts. This study demonstrates that despite advances in robotic design, live dogs elicit stronger social bonding responses than AIBO replicas, challenging assumptions about the substitutability of robots for animals in companionship roles. Li’s research bridges ethology and robotics, offering critical insights for designing more effective social robots and understanding the limits of human-robot attachment. By empirically testing how humans form bonds with different agents, Li contributes to debates in human-robot interaction (HRI) and animal-computer interaction. Their work is essential reading for students and researchers exploring the psychological and behavioral dimensions of companionship in an increasingly automated world, highlighting the irreplaceable qualities of living social partners.
Research Focus
Key Achievements
Top Papers
- 1