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About

Chengjie Li is a researcher at the intersection of engineering education, human-robot interaction (HRI), and mixed reality (MR). Their work focuses on leveraging immersive technologies to enhance both learning and social interaction with artificial agents. A key contribution is the development of virtual laboratory platforms for industrial robotics education, which addresses the growing demand for accessible, hands-on STEM training—a paper that has garnered 19 citations for its innovative pedagogical approach. Li has also made significant strides in understanding social dynamics in mixed reality, investigating how posture, embodiment, and agent type (human vs. robot) influence comfortable social distances. Their studies, including a highly cited work on posture and embodiment (16 citations), provide foundational insights for designing more natural and socially acceptable virtual agents and robots. By pioneering the use of mixed reality as a design tool for HRI, Li’s research (totaling over 50 citations) bridges the gap between virtual prototyping and real-world robotic applications, offering a cost-effective and flexible platform for iterative design. Their work is particularly notable for its interdisciplinary approach, combining engineering, psychology, and computer science to shape the future of human-centered robotics.