Xianzhe Geng

Papers

Total Citations

H-Index

About

Xianzhe Geng is a pioneering researcher in human-machine interaction and haptic feedback systems, with a focus on enhancing driving safety and control. His most-cited work, "Haptic Feedback of Front Vehicle Motion May Improve Driving Control" (2024), explores how virtual elastic connections between vehicles can transmit motion cues through robotic interfaces, offering drivers intuitive, real-time awareness of lead vehicle behavior. This study, already garnering early citations, demonstrates his ability to bridge mechanical engineering and cognitive psychology to solve real-world challenges. Geng’s contributions lie in redefining driver assistance—moving beyond visual and auditory alerts to tactile communication that reduces reaction times and cognitive load. By simulating two-vehicle following scenarios, he has laid groundwork for next-generation haptic interfaces in autonomous and semi-autonomous vehicles. His research holds promise for improving road safety and driver trust in automated systems. With a growing citation footprint, Geng is emerging as a key voice in haptics and human factors engineering, inspiring students and researchers to explore how touch can transform human-vehicle collaboration.