Meike Zehnle is a Research Associate and PhD Candidate at the TechX Lab at the University of St. Gallen. She has a main research focus on the psychological mechanisms and behavioral consequences of human interaction with conversational AI. In her current projects, she particularly examines how such interactions (e.g. with chatbots) affect financial decision-making, the acceptance of advice and written communication.
Meike received a Bachelor of Science in Business Administration and Economics with a specialization in Management and Marketing from the University of Passau and a Master of Science in Consumer Science with a specialization in Consumer, Technology and Innovation from the Technical University of Munich.
Maier, M., Elsner, D., Marouane, C., Zehnle, M., & Fuchs, C. (2019). DeepFlow: Detecting Optimal User Experience From Physiological Data Using Deep Neural Networks. In Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (pp. 1415-1421).