A paper titled Identifying driving profiles after take over request in automated vehicles at SAE levels 2 and 3 authored by Marios Sekadakis, Sandra Trösterer, Peter Moertl and George Yannis has been published in Transportation Research Part F: Traffic Psychology and Behaviour. The analysis included clustering to develop distinct driving profiles based on key measurements collected through a driving simulator experiment, such as acceleration, deceleration, and speed, offering a deep understanding of driver behavior in responses to take over requests. Findings suggest that the nervous driving profile, although less frequent, poses significant safety implications due to higher deceleration rates and variability in speed and deceleration. The study also highlights that non-driving related tasks increase the need for longer take over time with greater variability observed at higher automation levels. These insights can inform the design of more adaptive HMI systems, enhance real-time feedback mechanisms, and improve driver training programs to ensure safer transitions during take over requests.