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About

Michael Lwin is a pioneering researcher at the intersection of human-robot interaction (HRI), service marketing, and persuasive technology. His work fundamentally explores how social robots can influence human behavior, particularly in commercial and health contexts. Lwin’s major contributions include adapting the SERVQUAL framework to create the SERVBOT model for measuring perceived service quality in HRI, a foundational paper with 15 citations that bridges service marketing theory with robotics. He has also demonstrated the persuasive power of robots in health messaging, showing that robot-delivered guilt and humor appeals can effectively reduce high-sugar energy drink consumption (7 citations). His recent work investigates how robot size and number impact persuasion (6 citations), revealing critical design parameters for effective HRI. Lwin’s research on human perception of emotional responses to auditory changes in humanoid agents (2 citations) further advances our understanding of non-verbal communication in robotics. With a growing citation impact and a focus on real-world applications—from service quality to public health—Lwin is shaping how we design robots that not only interact but truly persuade and serve.