Hi, I’m Anna! At Robotec.ai I work as a Senior Scientist, currently having 5+ years of expertise in driver state psychophysiology research. With a background in Cognitive Science, but also Neuroinformatics, I was given the opportunity to dive into various realms of driver behavior and psychophysiology analysis for Driver Monitoring Systems’ development, including simulator, test track, and natural driving studies (NDS). My primary focus lies in investigating driver drowsiness, although driver distraction and stress are also the topics I am curious about. Yet I am particularly fascinated by the intricate interactions between behavior, subjective assessment, and physiological metrics, with a keen interest in sleepiness detection. As I love open-source almost as much as I love doing research, I led the development of our first book “The Robotec.ai Handbook on Driver Stress Detection,” which is a free resource with an overview and guidelines in the field.
The Pop in Your Job: “Gives me a chance to better understand some complex interplays in human psychophysiology”
Solution Study
Thursday, June 19
03:00 pm - 03:30 pm
Live in Berlin
Less Details
In the progression towards higher levels of autonomy in vehicles, understanding the dynamics of transitioning control between autonomous systems and drivers is paramount. This presentation delves into the critical role of Driver State Monitoring in Level 3 and Level 4 autonomous vehicles, highlighting the challenging relationship between rising autonomy and lowering human performance. We emphasize the necessity of robust monitoring systems to gauge driver alertness and stress levels, ensuring safe intervention when required. Drawing from expertise in driver psychophysiology, we understand the advocacy for possibly maximal ecological validity of the testing protocols for human performance in semi-autonomous vehicles. Despite advancements in autonomy, the imperative of driver status monitoring persists to mitigate risks of impairment, such as drowsiness or distraction. Our talk integrates research findings and assessment protocols to chart future exploration in the groundbreaking domain of autonomous mobility.
Key Points: