Jinglong Wu
Papers
1
Total Citations
2
H-Index
1
About
Jinglong Wu’s research lies at the compelling intersection of cognitive neuroscience, human-robot interaction, and affective computing. His work explores how the human brain perceives and responds to artificial agents, with a particular focus on the role of innate biological triggers—such as “baby schema”—in shaping our emotional and cognitive reactions to robot appearance. In his most cited study, Wu demonstrated that subtle facial features reminiscent of human infants can significantly influence face discrimination and aesthetic preference, offering critical insights for designing robots that are more intuitively accepted and trusted by users. This contribution bridges evolutionary psychology and engineering, providing a scientific foundation for human-centered robotics. While his citation impact is still growing, Wu’s research is notable for its interdisciplinary ambition, directly informing how robots can be made to feel less mechanical and more socially engaging. His work is especially valuable for students and researchers in cognitive science, robotics, and human factors, as it challenges us to consider how deep-seated perceptual biases can be harnessed to improve human-robot coexistence.
Research Focus
Key Achievements
Top Papers
- 1