Yifeng Liang

University of Massachusetts Amherst

Papers

1

Total Citations

11

H-Index

1

About

Yifeng Liang is a rising scholar at the intersection of artificial intelligence, tourism, and hospitality, whose work is redefining how we understand human–nonhuman interactions in service settings. Their most-cited paper, “AI dogs vs. real dogs and human-like robots” (2024, 11 citations), offers a pioneering conceptual framework that clarifies the distinct characteristics of AI dogs—distinguishing them from both real animals and humanoid robots—while mapping their practical applications in tourism and hospitality. Through rigorous thematic analysis of 30 in-depth interviews, Liang provides the field with a much-needed taxonomy that helps practitioners and researchers alike navigate the emerging landscape of robotic companions. This foundational work not only bridges gaps in existing literature but also sets the stage for future empirical studies on consumer acceptance, ethical considerations, and service design. Liang’s contributions are particularly timely as the industry grapples with integrating AI into guest experiences, making their research essential reading for scholars and professionals seeking to understand the nuanced roles that non-human actors will play in tomorrow’s service environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
11
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
AI dogs vs. real dogs and human-like robots: clarification, conceptualization, and applications in tourism and hospitality settings
11 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: University of Massachusetts Amherst

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago