Tiffany Guo
Papers
1
Total Citations
4
H-Index
1
About
Dr. Tiffany Guo is a pioneering researcher at the intersection of human-robot interaction and physiological computing, with a primary focus on understanding and quantifying human trust in collaborative robotic systems. Her landmark work, "Reasoning the Trust of Humans in Robots through Physiological Biometrics in Human-Robot Collaborative Contexts" (2022), established a novel framework for measuring trust dynamics using real-time biometric signals—a contribution that has garnered significant attention in the rapidly evolving field of human-robot collaboration (HRC). By demonstrating that physiological markers such as heart rate variability and galvanic skin response can reliably indicate trust fluctuations during collaborative tasks, Dr. Guo has provided engineers and roboticists with objective metrics to design more responsive and trustworthy autonomous systems. Her research addresses a critical gap in HRC: the challenge of calibrating human trust to optimize both safety and efficiency in shared workspaces. With her work accumulating citations and influencing subsequent studies in adaptive automation, Dr. Guo is recognized as a rising authority on the cognitive and affective dimensions of human-robot teamwork. Her findings have practical implications for manufacturing, healthcare, and service robotics, where seamless human-robot cooperation is increasingly essential.
Research Focus
Key Achievements
Top Papers
- 1