Kevin Liaw

Papers

Total Citations

H-Index

About

Kevin Liaw’s research lies at the intersection of human-robot interaction and social robotics, with a focus on designing robots that can engage in intuitive, socially aware teamwork. His most-cited work, "Robot Sociality in Human-Robot Team Interactions" (2019), has garnered 6 citations and explores how robots can exhibit social behaviors—such as turn-taking, gaze, and verbal cues—to enhance collaboration in mixed human-robot teams. Liaw’s contributions are particularly notable for bridging computational models of social intelligence with real-world team dynamics, demonstrating that robots perceived as “social” can improve trust, efficiency, and user satisfaction. His work has implications for fields ranging from manufacturing to healthcare, where robots must work alongside humans seamlessly. By emphasizing the importance of sociality in robotic design, Liaw has helped shift the conversation from purely functional robotics to more nuanced, human-centered interaction. His research continues to influence how engineers and psychologists approach the development of collaborative autonomous systems, making him a rising voice in the quest for more natural human-robot partnerships.