Weiwei Guo

Papers

Total Citations

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About

Weiwei Guo is a leading researcher at the intersection of human-machine interaction (HMI) and human-robot interaction (HRI), with a core focus on designing intelligent, proactive systems for smart cockpits and collaborative robotics. Her work fundamentally advances how humans communicate and coordinate with autonomous agents, particularly in high-stakes environments. Guo’s most cited paper, “From HMI to HRI: Human-Vehicle Interaction Design for Smart Cockpit” (2018, 18 citations), established a foundational framework for transitioning from traditional vehicle interfaces to adaptive, context-aware systems. She further pushes boundaries with her recent work on GenComUI (2025, 4 citations), which leverages large language models to dynamically generate visual aids—such as map annotations and path indicators—that bridge the gap between verbal commands and robotic action. In her 2023 study on proactive HMI design, Guo tackles the critical challenge of user intention prediction, demonstrating how accurate models can enable systems to anticipate and assist users before they even articulate a need. With a growing citation footprint and a clear trajectory toward more intuitive, anticipatory interfaces, Guo is shaping the future of how humans and intelligent machines collaborate seamlessly.