Mingfu Zheng

Beijing Technology and Business University

Papers

Total Citations

H-Index

About

Mingfu Zheng investigates the intersection of human-robot interaction and consumer behavior, with a particular focus on how humanoid robot design influences customer responses. Their research explores the critical balance between robot realism and customer trust, examining how different levels of human-like characteristics affect service outcomes. Zheng’s most cited work, "Effects of human-robot interaction type on customer tolerance of humanoid robot service failure" (2024, 31 citations), provides foundational insights into how customers respond when service robots fail, revealing that interaction type significantly moderates customer tolerance. Their subsequent study, "Is high realism more effective in addressing customer responses of humanoid robot?" (2025, 4 citations), investigates the mediating role of perceived trust, challenging assumptions about the benefits of extreme realism. This emerging body of work has immediate implications for service robot designers and hospitality managers, offering evidence-based guidance for optimizing robot appearance and interaction protocols. As the field of service robotics rapidly expands, Zheng’s contributions provide crucial understanding of the psychological mechanisms that determine whether customers embrace or reject humanoid service robots, making their research essential reading for scholars and practitioners alike.