Papers
5
Total Citations
42
H-Index
4
About
Zenggen Ren investigates the intersection of human-robot interaction and affective computing, focusing on how robotic design and behavior shape human emotional and cognitive responses. His research spans multiple sensory modalities—visual, tactile, and auditory—employing advanced neurophysiological tools such as EEG, fNIRS, ECG, and eye-tracking to quantify user experience. Ren’s most cited work (21 citations) uses visual and neural measures to evaluate how humanoid robot appearances influence affective impressions during free viewing. He further demonstrates that facial features—like eye shape and mouth presence—significantly affect perceptions of anthropomorphism and trustworthiness (8 citations). His studies on robotic touch reveal its potential for social emotion regulation, supported by ECG and fNIRS evidence (6 and 3 citations), while his investigation of in-vehicle agents shows that embodiment impacts drivers’ perceived usability and cognitive workload (4 citations). By combining subjective reporting with physiological and neural data, Ren provides a rigorous, multi-layered understanding of human responses to robots, contributing to the design of more intuitive and emotionally resonant social robots. His work holds promise for applications in healthcare, automotive interfaces, and assistive technology.
Research Focus
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