Bangan Wu

Papers

Total Citations

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About

Bangan Wu is an emerging researcher in the field of human-robot interaction, with a focused interest in the cognitive and psychological dynamics that shape trust between humans and autonomous systems. Their most-cited work, "Investigating the Impact of Cognitive Load on Human Trust in Hybrid Human-Robot Collaboration" (2024), has already garnered 2 citations, signaling early recognition for its timely contribution to understanding how mental workload influences collaborative decision-making in shared human-robot environments. This research addresses a critical gap in designing adaptive robotic systems that can respond to human cognitive states, thereby enhancing safety and efficiency in hybrid teams. Wu’s work is particularly relevant to the growing integration of robots in manufacturing, healthcare, and service industries, where trust calibration under varying cognitive demands is essential. As a researcher whose career is just beginning to gain momentum, Wu demonstrates a clear trajectory toward impactful scholarship in cognitive robotics and human factors engineering. Their ability to bridge theoretical models of trust with practical implications for robot design marks them as a promising voice in the next generation of human-robot collaboration researchers.