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About

Ching-I Teng is a leading researcher at the intersection of healthcare management, human-robot interaction, and organizational behavior, with a specific focus on how robotic technologies reshape nursing work environments. Her major contributions center on understanding the dual impact of robots on nursing professionals—examining both how robots can reduce nurses' nonprofessional task engagement and how the effort required to maintain robot operations paradoxically increases time pressure. Through rigorous two-wave survey designs conducted in large Taiwanese hospitals, Teng has demonstrated that robots can help nurses focus on professional tasks, thereby reducing turnover intention, a critical issue in global healthcare staffing. Her work has garnered significant attention, with her most-cited paper, "How Robots Help Nurses Focus on Professional Task Engagement and Reduce Nurses’ Turnover Intention" (2021), accumulating 44 citations, and subsequent studies on robot-related time pressure and nurse-robot engagement receiving 23 and 14 citations respectively. Teng's research provides actionable insights for healthcare administrators seeking to implement robotic systems without inadvertently increasing staff burden, making her a pivotal voice in the evidence-based integration of autonomous mobile healthcare robots. Her forthcoming work on human use of autonomous mobile healthcare robots (2025) promises to extend this important line of inquiry.