Ruyi Ge

Papers

Total Citations

112

H-Index

About

Ruyi Ge is a pioneering researcher at the intersection of human–robot interaction, financial technology, and behavioral economics. Her most influential work, "Human–Robot Interaction: When Investors Adjust the Usage of Robo-Advisors in Peer-to-Peer Lending" (2021, 112 citations), fundamentally reshapes our understanding of how humans collaborate with AI in high-stakes financial decisions. Partnering with a leading peer-to-peer lending platform, Ge reveals that investors dynamically calibrate their reliance on robo-advisors—not blindly trusting algorithms, but strategically adjusting usage based on personal experience and market conditions. This insight challenges the prevailing assumption that financial AI adoption is a one-way street, instead portraying it as a nuanced, adaptive partnership. Beyond this landmark study, Ge’s broader research agenda explores trust calibration, decision augmentation, and the psychological mechanisms driving human–algorithm collaboration in fintech. Her work has profound implications for designing more transparent, user-centric robo-advisory systems that respect human agency while leveraging machine intelligence. By bridging computer science, finance, and psychology, Ruyi Ge is shaping the future of intelligent financial services—one where humans and AI learn from each other.