Catching your eyes: AI-driven modeling and analysis of eye-tracking data



Time and place

  • Di 12:15-13:45, Room 00.010 (exclude vac) ICS

Assignment: mailto: dario.zanca@fau.de
The grade is based on a presentation and a report, both counting 50% of the final grade.


*Learning objectives*: Be familiar with an eye-tracking experimental setup and eye-tracking data. Knowledge of the common eye-tracking data analysis techniques. Knowledge of the state-of-the-art saliency and scanpath models to predict human visual attention. *Contents* Seeing is a complex activity. Humans perform eye movements to actively seek for useful information, while regulating pupil size to control the amount of light to be captured. Eye-tracking can be used to record the eye’s activity. It is a powerful tool to study human gaze behavior and it can be used to assess the health condition of individuals. The aim of this seminar is to become familiar with eye-tracking data and their use in different domains, from neuroscience and artificial intelligence (to understand and simulate human attention), to medicine and psychology (to identify eye-tracking based biomarkers). Different methods will be introduced and compared. Students will study on state-of-the-art papers and present the details of the chosen topic described in the papers. Alternatively, the student may work on experimental task and present the result of applying state of the art methods.

Additional information

Keywords: eye-tracking, human visual attention, biomarkers, artificial intelligence

Expected participants: 20