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About

Xinyue Gui is a pioneering researcher in human-autonomous vehicle interaction, specializing in external human-machine interfaces (eHMIs) that bridge the communication gap between self-driving cars and people. Her most impactful work explores how anthropomorphic features—particularly "eyes" on vehicles—can transform road safety and pedestrian decision-making. Her landmark study, "Can Eyes on a Car Reduce Traffic Accidents?" (41 citations), demonstrated that gaze-equipped autonomous vehicles help pedestrians make faster, more confident street-crossing decisions. Gui further advanced this concept in "I am going this way" (24 citations), showing that dynamic eye movements can communicate multiple driving directions—left, right, or straight—more intuitively than traditional turn signals. Her innovative "Shrinkable Arm-based eHMI" (2024) addresses the unique challenges of autonomous delivery vehicles, while her "Text + Eye" system (2024) combines textual instructions with directional gaze to provide geospatial guidance to passengers. By proving that simple, biologically-inspired cues can replace complex verbal or gestural communication, Gui is shaping a future where autonomous vehicles interact with humans as naturally as drivers do today—making roads safer and more intuitive for everyone.