Seminar: Human Machine Collaboration


This research seminar explores the challenges and opportunities of emerging Human Machine Collaboration Systems, which tightly interleave human perception and reasoning with visual computing, recognition and manipulation performed by machines. We particularly encourage the use of eye tracking techniques to facilitate these types of collaboration. First, we start with a brief introduction and literature review on existing work in this area. The main part of the course consists of a project in which students will develop, implement and evaluate an example application.
The organisers will assist participants in shaping and formulating project ideas, which will then be presented and discussed within the group. Based on the discussions and feedback these ideas will be prototyped and evaluated on datasets or in a user study, as appropriate. The seminar will conclude with a final presentation of the project outcomes and a project report.


The research seminar is intended for Master students in Computer Science, Visual Computing and Media Informatics. Very good programming skills (C, C++, Python or Java) are required as a substantial part of the seminar will consist of implementing a prototype application, which will be graded as part of the project work. Successful completion of at least one of the following core lectures is required: Image Processing and Computer Vision, High-level Computer Vision/Graphical Models, Machine Learning, Human-Computer Interaction, or Computer Graphics.


Dr. Andreas Bulling
Dr. Mario Fritz


To register for the seminar please use the following form:


Summer term 2014

link to university course overview