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About

Chia-Ming Chang is a leading researcher in human-robot interaction, specializing in the design of external human-machine interfaces (eHMIs) for autonomous vehicles. His pioneering work explores how anthropomorphic features—particularly robotic "eyes"—can transform communication between self-driving cars and pedestrians. Chang's most cited study, "Can Eyes on a Car Reduce Traffic Accidents?" (41 citations), demonstrated that gaze-equipped AVs help pedestrians make faster, safer crossing decisions. He further advanced this concept in "I am going this way," showing that eye movements can intuitively convey multiple driving directions—a critical improvement over traditional turn signals. Chang's research extends beyond passenger vehicles; his work on shrinkable arm-based eHMIs for autonomous delivery vehicles addresses unique communication challenges in logistics. He has also developed eye control mechanisms for robotic eyes and explored "text + eye" hybrid interfaces that provide geospatial instructions to passengers. With over 75 total citations and a growing portfolio of innovative studies, Chang is shaping the future of autonomous vehicle communication, making self-driving technology safer and more intuitive for all road users.