Pamela Zontone
Papers
1
Total Citations
2
H-Index
1
About
Pamela Zontone is a researcher at the forefront of automotive human factors, specializing in the intersection of driving simulation, human-machine interaction, and autonomous vehicle assessment. Her work centers on understanding how drivers interact with and transition between assisted, autonomous, and manual driving modes, with a focus on safety and user experience. Her most-cited study, "Assisted / autonomous vs. human driving assessment on the DiM driving simulator using objective / subjective characterization" (2019), provides a foundational framework for evaluating driver behavior and perception in simulated environments. This research integrates both objective metrics—such as vehicle control and reaction times—with subjective feedback from participants, offering a comprehensive view of how drivers adapt to varying levels of automation. While her citation count reflects the emerging nature of this field, Zontone’s contributions are pivotal for designing safer, more intuitive autonomous systems. Her work is particularly valuable for students and researchers exploring the human-centered challenges of vehicle automation, as it bridges engineering and psychology to improve real-world driving safety.
Research Focus
Key Achievements
Top Papers
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