Mingcai Hu
Papers
1
Total Citations
8
H-Index
1
About
Mingcai Hu is a leading researcher at the intersection of human-robot interaction and cognitive neuroscience, with a primary focus on how robotic design influences human perception and trust. His most cited work, "The Effect of Robot’s Facial Features on Users’ Perception" (2023), employs cutting-edge methodologies—including electroencephalography (EEG), pupillometry, and eye-tracking—to systematically examine how facial ratio, eye shape, and mouth presence shape users’ attributions of anthropomorphism and trustworthiness. By integrating subjective ratings with objective neural and physiological measures, Hu provides a rigorous, multi-modal framework for understanding the subtle cues that drive human-robot social dynamics. This work, garnering 8 citations in a short time, has already informed the design of more socially intuitive robotic interfaces. Hu’s contributions are pivotal for engineers and psychologists alike, offering evidence-based guidelines for creating robots that are not only functional but also socially acceptable. His research stands out for its methodological sophistication and practical relevance, making him a key voice in the emerging field of socially assistive robotics.
Research Focus
Key Achievements
Top Papers
- 1