Tzu‐Ling Huang

Chang Gung University, National Central University

Papers

Total Citations

H-Index

About

Tzu-Ling Huang is a leading researcher at the intersection of healthcare management and human-robot interaction, whose work explores how robotic technologies reshape nursing workflows and workforce sustainability. Her research focuses on three interconnected areas: the impact of robots on nurses' professional task engagement, the psychological consequences of human-robot collaboration in healthcare settings, and the factors that drive successful nurse-robot engagement. Huang's most influential work, "How Robots Help Nurses Focus on Professional Task Engagement and Reduce Nurses’ Turnover Intention" (44 citations), established a critical framework for understanding how robots can alleviate the burden of nonprofessional tasks, thereby enhancing job satisfaction and retention among nursing staff. Her subsequent studies, including "How robots impact nurses' time pressure and turnover intention" (23 citations) and "Enhancing Nurse–Robot Engagement" (14 citations), further developed this line of inquiry by examining the nuanced relationships between robot performance, time pressure, missed care, and nurses' career intentions. Through rigorous two-wave survey designs conducted in Taiwanese hospitals, Huang has provided empirical evidence that robots can be strategic tools for addressing nursing shortages when properly integrated. Her latest work on autonomous mobile healthcare robots (2025) continues to push boundaries, examining how nurses balance efficiency versus troubleshooting in real-world implementations. Huang's research has profound implications for healthcare administrators, technology developers, and policymakers seeking to optimize human-robot collaboration in clinical environments.