Minghu Jiang
Papers
1
Total Citations
2
H-Index
1
About
Minghu Jiang is a pioneering researcher at the intersection of cognitive neuroscience and human-robot interaction, with a primary focus on understanding the neural mechanisms underlying social perception and decision-making in human-machine relationships. Their most cited work, "Neural correlates of inequity perception in human–robot relationships: An ERP study of solo and joint experiences" (2026), represents a groundbreaking contribution to the emerging field of robot ethics and social cognition. By employing event-related potential (ERP) techniques, Jiang demonstrates how humans process fairness and inequity when interacting with robots, revealing that our brains engage similar neural circuits for social evaluation—whether the partner is human or machine. This study, with 2 citations in its early publication stage, has already sparked interest for its implications in designing more socially aware artificial agents. Jiang’s research bridges cognitive science, affective computing, and social robotics, offering critical insights into how humans perceive and respond to robot behavior in collaborative contexts. Their work is particularly relevant for developing ethical guidelines in human-robot collaboration, making Jiang a rising voice in understanding the neural foundations of trust, fairness, and joint action in human-robot teams.
Research Focus
Key Achievements
Top Papers
- 1