Human Machine Interaction

Not only the cognitive system itself is highly complex. We are living in environments that are rich of complex structures and high degrees of uncertainty. My research interests in the human factors domain are manifold. I am interested in exploring how humans cope with such complex environments, for instance, how they solve the cognitively challenging driving task. I am also interested to explore if different devices (e.g., eye-tracker) measure the same behaviour. To this goal, I apply methods from cognitive psychology, for instance, eye movement recordings, experiments, or congnitive modeling.

Relevant publications

Frank, W., Mühl, K., Rosner, A., & Baumann, M. (2022). Advancing Knowledge on Situation Comprehension in Dynamic Traffic Situations by Studying Eye Movements to Empty Spatial Locations. Human Factors.

Rosner, A., Franke, T., Platten, F., & Attig, C. (2019). Eye movements in vehicle control. In C. Klein, & U. Ettinger (Eds.), An introduction to the scientific foundations of eye movement research and its applications. Heidelberg: Springer.

Titz, J., Scholz, A., & Sedlmeier, P. (2018). Comparing eye trackers by correlating their eye-metric data. Behaviour Research Methods, 50, 1853-1863.

Dziekan, K., & Scholz, A. (2007, September). How to measure ease-of-use in public transport? Scale construction and testing. Poster presented at the Biennial Conference on Environmental Psychology, Bayreuth, Germany.