MAVERIC: A Data-Driven Approach to Personalized Autonomous Driving brings to light the importance of personalizing autonomous vehicles’ driving styles to user preferences. This paper discusses the significant impact of matching the autonomous vehicle’s driving style with the user’s own and reveals the factors contributing to the user’s acceptance of autonomous vehicles.

• Authors: Mariah L. Schrum, Emily Sumner, et al.
• Noteworthy Revelations: Personalized driving styles are consistent with user preferences and contribute to a more positive user experience with autonomous vehicles.
• Implications for Future Mobility: Tailoring driving personalities to individual users can boost confidence in and adoption of autonomous driving technologies, paving the way for a more personalized transportation experience.