Qing‐Xing Qu
Papers
1
Total Citations
40
H-Index
1
About
Qing-Xing Qu is a pioneering researcher in human-robot interaction, with a focus on the emotional dynamics between humans and social robots. Their work centers on understanding how a humanoid robot’s emotional behaviors influence users’ psychological and physiological responses, bridging robotics, cognitive science, and affective computing. In their highly cited 2019 study, Qu employed cutting-edge pupillometry and electroencephalography (EEG) measures to demonstrate that users exhibit distinct emotional reactions—such as changes in pupil dilation and brainwave patterns—when interacting with robots displaying emotional cues versus neutral behaviors. This research, which has garnered over 40 citations, provides critical evidence that emotional expressiveness in robots can enhance user engagement and trust, offering foundational insights for designing more empathetic and effective humanoid systems. Qu’s contributions are notable for integrating objective neurophysiological data with subjective emotional experience, advancing both theoretical understanding and practical applications in assistive robotics and human-centered AI. Their work continues to shape how researchers and engineers approach the design of socially intelligent machines.
Research Focus
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Top Papers
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