The i-com Journal of Interactive Media has accepted for publication the paper "Cognitive state detection with eye tracking in the field: an experience sampling study and its lessons learned" co-authored by Moritz Langner, Peyman Toreini and Alexander Maedche. 

In this study, we investigate the development of cognitive state models for cognitive load and flow using eye tracking data collected in a longitudinal field study with eleven undergraduate students. The study follows an experience sampling approach to collect cognitive state and eye tracking data from students working on their thesis project over five days. Using this data, we develop supervised machine learning models of cognitive load and flow. In addition, we articulate lessons learned during data collection and cognitive state model development to address the challenges of building generalizable and robust user models in the future. 

The research was conducted as part of the DFG-funded KD2School.

The publication is available as open access here: https://www.degruyter.com/document/doi/10.1515/icom-2023-0035/html