Michela Minen

Torino e-district

Papers

1

Total Citations

2

H-Index

1

About

Michela Minen is a researcher at the forefront of human–machine interaction in automated driving, with a focus on bridging the gap between assisted, autonomous, and human driving behaviors. Her work centers on the objective and subjective characterization of driving performance, particularly through the use of advanced driving simulators like the DiM (Driving in Motion). In her most-cited study, she systematically compares how drivers respond under varying levels of vehicle automation, offering critical insights into the perceptual and behavioral differences that emerge when control shifts from human to machine. This research is foundational for designing safer, more intuitive autonomous systems that align with human expectations. While her citation count is still growing, her contributions are highly relevant to the evolving fields of vehicle automation and human factors engineering. Minen’s work is particularly valuable for students and researchers interested in the psychological and ergonomic dimensions of driving, as it provides a rigorous framework for evaluating how drivers trust, adapt to, and interact with increasingly autonomous vehicles.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Assisted / autonomous vs. human driving assessment on the DiM driving simulator using objective / subjective characterization
2 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Torino e-district

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago