You have an interesting eye tracking research prototype to show? You would like to join the ET4S workshop, but have missed the deadline for regular papers? You have a regular paper accepted and would like to take the opportunity to gain even more visibility and get direct feedback for your system?
We’ll have a dedicated demo session at the ET4S workshop in January 2018 in Zurich. We hope you consider submitting a short abstract (1 page) with a demo proposal (before November, 8).
ET4S website: http://spatialeyetracking.org/et4s-2018/
Predicting user states from gaze and other multimodal data
Abstract: In this talk I will present research conducted by our team at UEF related to user state recognition during problem solving and other interactive contexts. We adapt and apply machine learning techniques to model behavioral and mental states, including action prediction and problem-solving state prediction.
We’re glad to announce the 3rd International Workshop on Eye Tracking for Spatial Research (ET4S), which will take place January 14, 2018 in Zurich.
The workshop aims to bring together researchers from different areas who have a common interest in using eye tracking for research questions related to spatial information. This is the 3rd edition of the workshop, after two successful ET4S workshops in Scarborough (2013) and Vienna (2014). This time the workshop will be co-located with the 14th International Conference on Location Based Services (LBS 2018).
The workshop will be opened with an invited talk given by Roman Bednarik, an adjunct professor at the School of Computing, University of Eastern Finland.
The Call for Papers is now available (Paper submission deadline: September 27, 2017).
ET4S 2018 is supported by Ergoneers.
A double Special Issue on “Eye Tracking for Spatial Research” in Spatial Cognition&Computation, guest-edited by Peter, Ioannis, Martin, and Andrew Duchowski, has appeared [URL].
Nineteen manuscripts were submitted to an open Call for Submissions, out of which seven were finally accepted after a rigorous review process.