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About

Baisong Liu is a leading researcher in human-robot interaction, specializing in persuasive social robotics and rehabilitation technologies. His work systematically investigates how robot design—particularly anthropomorphism—influences user acceptance and behavioral change in healthcare contexts. Liu’s most cited paper, “A Systematic Review of Experimental Work on Persuasive Social Robots” (2022, 42 citations), provides a foundational framework for understanding factors that make social robots effective persuaders. He further advanced this field through empirical studies on robot trainers in physical rehabilitation, demonstrating that anthropomorphic features significantly affect patient acceptance and engagement (2019, 11 citations). His qualitative research with older adults (2022, 6 citations) identifies critical design requirements and acceptance factors for social robots in rehabilitation settings, bridging the gap between technical development and real-world user needs. Liu has also explored user preferences for robot anthropomorphism (2020, 3 citations) and outlined key challenges in designing advanced social robotic applications (2023). With a cumulative impact of over 60 citations, Liu’s work is essential reading for researchers and designers aiming to create socially intelligent robots that are both persuasive and accepted by vulnerable populations, particularly in healthcare and rehabilitation.