Linda Pipkorn is a PhD student with a focus on human factors of automated driving. Her aim is to understand human performance limits when driving with semi-automated vehicles. Linda uses data collected in Wizard-of-oz experiments to analyze drivers' response process in critical and uncritical scenarios. She is passionate about combining data analytics, statistics, and cognitive psychology to understand human performance.
Licentiate of Engineering Human factors of Automated Driving, 2020
Chalmers University of Technology
Master of Science in Applied Mechanics, 2018
Chalmers University of Technology (exchange year at Waterloo University, Canada)
Bachelor of Science in Mechanical Engineering, 2014
Chalmers University of Technology