Yinsu Zhang
Papers
3
Total Citations
30
H-Index
3
About
Yinsu Zhang is a pioneering researcher at the intersection of human-robot interaction (HRI), cognitive neuroscience, and trust dynamics. Her work focuses on understanding how humans develop and maintain trust in collaborative robots, particularly in shared physical spaces where safety and performance are critical. Zhang’s major contributions lie in advancing beyond traditional self-report measures to capture trust in real time. She has demonstrated that eye-tracking metrics—such as gaze patterns and pupil dilation—can serve as reliable, dynamic indicators of trust during HRI, offering a more granular and continuous assessment than surveys alone. Her most-cited paper, "In Gaze We Trust" (2024, 17 citations), compares eye tracking, self-report, and physiological signals, establishing a new methodological framework for trust measurement. Her 2023 study on brain–behavior relationships (10 citations) further links neural activity to trust behaviors, bridging cognitive science and robotics. With over 30 total citations across her key works, Zhang is shaping how researchers design safer, more intuitive collaborative robots. Her innovative use of multimodal sensing has earned recognition for its potential to transform human-robot teamwork in manufacturing, healthcare, and service domains.
Research Focus
Key Achievements
Top Papers
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