Michael Glazer
Papers
2
Total Citations
304
H-Index
2
About
Michael Glazer is a leading researcher in autonomous vehicle technology and human-machine interaction, with a focus on understanding how drivers behave and adapt when sharing control with automation. His major contributions center on large-scale naturalistic driving studies that capture real-world driver behavior, rather than relying solely on simulated or controlled environments. Glazer’s work has been instrumental in demonstrating that full vehicle autonomy remains an unsolved challenge, as the driving task involves complex, unformalizable interactions between humans, machines, and unpredictable environments. His 2019 paper, “MIT Advanced Vehicle Technology Study: Large-Scale Naturalistic Driving Study of Driver Behavior and Interaction With Automation,” has garnered over 227 citations, underscoring its influence in shaping debates on the limits of current AI and robotics approaches. A related 2017 study, with 77 citations, further advanced deep learning-based analysis of driver-automation interaction. Glazer’s research is notable for its empirical rigor and its cautionary message about the feasibility of full autonomy, making it essential reading for students and engineers working on safe, human-centered autonomous systems.
Research Focus
Key Achievements
Top Papers
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