Joo Cheng Lim

Papers

Total Citations

H-Index

About

Joo Cheng Lim is a pioneering researcher at the intersection of healthcare and human-robot interaction (HRI), whose work is shaping the future of robotic assistance in clinical settings. His primary research areas include social robotics in healthcare, human-centered design for hospital environments, and the integration of robotic nurse assistants to address the global nursing shortage. Lim’s major contributions lie in empirically validating how robots can perform nursing tasks—such as vital signs measurement and medication delivery—while maintaining the essential human-centric interactions between nurses and patients. His most cited work, a 2021 user validation study (11 citations), established critical design principles for deploying social robots in hospital wards, demonstrating that scenario-based understanding of nurse-patient dynamics is key to successful HRI. A subsequent 2024 mixed-method study (9 citations) provided robust evidence for the feasibility and receptivity of robotic nurse assistants in real inpatient settings. Lim’s research has been instrumental in moving social robots from laboratory concepts to practical, interaction-centered hospital tools, with his 2020 study on receptivity (5 citations) further highlighting how robots can engage visitors and patients at hospital concierges. His work directly informs the design of safer, more accepted robotic systems, making him a vital voice in the effort to alleviate healthcare worker burnout through thoughtful technological integration.