26 – 30 June 2017 | Karlsruhe Institute of Technology, Germany
Martin Meißner, Jella Pfeiffer, Thies Pfeiffer, and Jacob Orquin
Format:
The course has a lecture/discussion format and a hands-on experimental component. The interactive lectures will focus on the theoretical background of visual attention. In a hands-on practical exercise PhD students will setup a small eye tracking experiment and use eye tracking equipment to record eye movements. Students can then use the provided open source software for analyzing the data as well as other (open source) statistical software package of their choice. Finally, they will present their first results in class. PhD Students will be able to use their own laptops in combination with a portable plug-in low frequency eye tracking device. Moreover, we will also bring mobile eye tracking equipment to the class so that PhD students will get familiar with new mobile eye tracking technologies, existing open source software and the potential pitfalls of these new devices.
Course content:
- Eye tracking basics
- Bottom-up and top-down processes of visual attention
- Eye tracking measures and their meaning (pupil dilation, fixation duration, eye blinks, saccadic distances)
- Handling and management of eye tracking data
- Mobile eye tracking equipment and annotation of fixations
- Use of mobile eye tracking in virtual and augmented reality
- OpenSource eye tracking software
- Analysis of eye tracking data
- Hands-on experiment with portable eye tracking equipment (SMI Eye Tracking Glasses): Setup of a small experiment using low-frequency, portable eye-trackers to record data, analysis of the dataset, presentation of first results in class.
- Hands-on mobile eye tracking equipment: Track a short sequence with the mobile equipment
- Individual recommendations to the submitted research proposals
Application deadline: March 31, 2017
Fee: None (costs for logistics, accommodations, food etc. are not covered)
More information can be found at: http://tinyurl.com/phdcourse-eyetracking