D. Bacchin

Papers

Total Citations

H-Index

About

D. Bacchin is a researcher specializing in the intersection of human factors and autonomous vehicle technology, with a particular focus on driving simulation and human-machine interaction. Their most-cited work, "Assisted / autonomous vs. human driving assessment on the DiM driving simulator using objective / subjective characterization" (2019), has garnered 2 citations and represents a key contribution to understanding how drivers interact with varying levels of vehicle automation. In this study, Bacchin employed the DiM (Driving in Motion) simulator to systematically compare assisted, autonomous, and human driving modes, using both objective metrics (e.g., vehicle control data) and subjective assessments (e.g., driver comfort and trust). This dual-method approach provides a nuanced framework for evaluating the transition from manual to automated driving, offering insights critical for designing safer, more user-acceptable autonomous systems. While Bacchin’s citation count reflects a focused, emerging impact, their work is notable for its methodological rigor and relevance to the growing field of automated driving assessment. Their research contributes to the broader effort of bridging engineering and psychological perspectives, making it valuable for students and researchers exploring driver behavior, simulator fidelity, and the human-centered design of autonomous vehicles.