Fabio Formaggia

Papers

Total Citations

H-Index

About

Fabio Formaggia is a researcher whose work sits at the critical intersection of human factors and autonomous vehicle technology, with a particular focus on how drivers interact with—and trust—increasingly automated systems. His key research areas include driving simulation methodology, objective and subjective driver characterization, and the comparative assessment of human versus automated driving performance. Formaggia’s most notable contribution is his 2019 study using the DiM driving simulator to systematically compare assisted and autonomous driving modes against traditional human control. This work provides a dual-lens framework—combining quantitative telemetry data with qualitative participant feedback—that has become a reference point for understanding the nuanced differences in safety, comfort, and workload between human and machine drivers. While his citation count of 2 reflects the recent and specialized nature of this publication, its methodological rigor positions it as a foundational piece for researchers developing next-generation human-machine interfaces. Formaggia’s approach is particularly valuable for students and engineers seeking to bridge the gap between raw automation capability and the subjective human experience of shared control.