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Eye Tracking: Theory and Practice

Schedule

Lecture Mo. 10:00 - 11:30 Z 613

Prerequisites

None, if taken as a master course. If taken as an advanced course in the bachelor program:

  • basic math courses offered in our bachelor programs
  • algorithms and data structures
  • introduction to computer science including programming

     

Course works and credits

Credit will be given based on a presentation of an experimental study using our eye tracking system. The presentation should include the theoretical foundations, the design of the experiment, the data analysis, and the visualization of the results. In addition a written report containing this material must be provided.

 

Exam dates and deadlines

The exam dates are the following:

 

DateTimeRoomType
11.07.201610:00 - 11:30Z 613oral
23.09.201612:00 - 13:30Z 613oral

 

The deadline for the report is set to 18.09.2016, at 23:59.

Lecture Slides

Lecture NumberTopicDate
Intro

History of Visual Attention 

11.04.2016
Lecture 1Human Visual System18.04.2016
Lecture 2Eye Tracking Studies25.04.2016
Lecture 3Data Recording02.05.2016
Lecture 4Data Processing23.05.2016
Lecture 5Areas of Interest30.05.2016
Lecture 6Attention Maps13.06.2016
Lecture 7Scanpaths20.06.2016 (no lecture)
Lecture 8Movement Measures27.06.2016 (no lecture)
Lecture 9Position Measures04.06.2016 (no lecture)
Lecture 10Other Masures11.06.2016 (no lecture)

 

 

Literature / Weblinks

  • Kenneth Holmqvist, Marcus Nystrom, Eye Tracking: A Comprehensive Guide to Methods and Measures, Oxford, 2012.
  • Andrew Duchowski, Eye Tracking Methodology Theory and Practice, second Edition, Springer, 2007.