Shih Yi Chien

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About

Shih Yi Chien is a robotics and human-robot interaction researcher whose work centers on the challenges of managing large-scale multirobot systems through effective human oversight and control. With a focus on autonomy, team dynamics, and supervisory control, Chien has made meaningful contributions to understanding how human operators can efficiently coordinate teams of robots in complex, real-world tasks. Among Chien's most recognized contributions is research into autonomy mode selection for multirobot search and foraging operations, exploring how increasing robot autonomy can expand the number of systems a single operator can effectively supervise — a finding with significant implications for defense, search-and-rescue, and industrial applications. This work, cited 42 times, has helped shape thinking around human-automation teaming. Chien has also advanced theoretical frameworks for human-robot team performance, investigating how control difficulty scales with robot team size and informing role assignments — from commanders issuing broad directives to operators managing individual units — within distributed control architectures. Collectively, Chien's research, spanning publications from 2009 to 2011 and accumulating over 90 citations, offers foundational insights for researchers and engineers designing the next generation of scalable, human-supervised robotic systems.