Papers
2
Total Citations
5
H-Index
1
About
Wei Lv is a pioneering researcher at the intersection of human factors engineering and intelligent human-machine interaction, with a primary focus on automotive ergonomics and collaborative robotics. His groundbreaking work investigates how different in-vehicle agent embodiments—from robotic and virtual assistants to voice-only systems—influence driver performance and cognitive workload. Using a multi-method approach combining subjective reporting, electrocardiography (ECG), and functional near-infrared spectroscopy (fNIRS), Lv has provided critical insights into designing safer, more intuitive in-vehicle information systems. His 2024 study on agent embodiment has already garnered 4 citations, establishing foundational knowledge for next-generation automotive interfaces. In parallel, Lv addresses the pressing challenge of ergonomic compatibility in collaborative robotics, developing novel assessment frameworks like the IVIULWG operator model to evaluate human-robot interaction in manufacturing environments. His 2025 work on Cobot ergonomics, with 1 citation, represents an early but significant contribution to ensuring that industrial automation enhances rather than compromises worker well-being. By bridging cognitive neuroscience, human factors, and robotics, Lv's research directly informs the design of technologies that are both efficient and human-centered, making him a vital voice in shaping the future of human-automation collaboration.
Research Focus
Key Achievements
Top Papers
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- 2