Max. Teilnehmer: 24
Studiengänge: Master Visual Computing, Master Informatik, Master Medieninformatik
As the number of interactive systems around us rapidly increases, managing user attention has emerged as a critical challenge for next-generation human-computer interfaces. This research seminar will explore attentive user interfaces that continuously sense, analyse, and adapt to users’ visual attention. We start with a general introduction into the topic as well as an overview of the main research challenges that span computer vision, machine learning, and human-computer interaction. The main part of the seminar will consist of lecture-style presentations prepared and given by the students on key topics, such computational modelling of visual attention, gaze estimation, eye movement analysis, gaze visualisation, as well as gaze-based human-computer and human-robot interaction. References as a starting point for more in-depth literature studies by the students will be provided. The seminar will also feature presentations by PhD students on selected research projects currently conducted in the group. Students interested in additional hands-on experience (not graded) can borrow a state-of-the-art head-mounted eye tracker for the duration of the seminar.
The research seminar is intended for Master students in Computer Science, Visual Computing, and Media Informatics. The grade is composed of individual grades for the presentation, participation in the discussions as well as a final oral exam. Successful completion of at least one of the following core lectures is highly recommended: Image Processing and Computer Vision, High-level Computer Vision/Graphical Models, Machine Learning, User Interface Design, or Computer Graphics.