Papers
1
Total Citations
27
H-Index
1
About
Xuxin He is a leading researcher in vehicle dynamics and human–machine interaction, with a primary focus on steering feel, driver–vehicle feedback, and objective evaluation methodologies. His most-cited work, “Links between subjective assessments and objective metrics for steering, and evaluation of driver ratings” (2014, 27 citations), addresses a critical challenge in automotive engineering: bridging the gap between how drivers perceive steering quality and measurable vehicle performance data. He’s major contribution lies in developing systematic correlation frameworks that allow engineers to use objective metrics—such as steering torque, response time, and on-center feel—to predict and improve subjective driver ratings. This work has direct implications for front-end vehicle development, enabling more efficient tuning of steering systems before costly physical prototypes are built. By establishing reliable links between human ratings and engineering parameters, He has helped advance the science of ride and handling evaluation. His research is particularly valuable for automotive OEMs and suppliers seeking data-driven methods to optimize driver satisfaction. With continued relevance in the era of steer-by-wire and autonomous vehicles, He’s foundational studies remain a key reference for engineers and researchers working on human-centered vehicle dynamics.
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Top Papers
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