Our studies on computer supported collaboration rely on two eye tracking machines. These settings enable us to know, for instance, whether A is looking or not at the object that B is referring to verbally. Dual gaze patterns enable us to predict misunderstandings and even team performance. We aim to refine machine learning models to detect more elaborated patterns in dual eye tracking log files.
We are hence looking for a postdoc interested in applying machine learning to eye tracking data with the goal of inventing new collaboration technologies. Staring date to be negotiated.
Our lab (http://craft.epfl.ch) belongs to the School of Computer and Communication Sciences, at EPFL, the Swiss Federal Institute of Technology in Lausanne, Switzerland (http://www.epfl.ch). EPFL is ranked as one of the top universities in Europe. Lausanne, its lake
and its mountains, located at the center of Europe, offers a high quality of life.
Inquiries to pierre.dillenbourg@epfl.ch
Prof. Pierre Dillenbourg
We are hence looking for a postdoc interested in applying machine learning to eye tracking data with the goal of inventing new collaboration technologies. Staring date to be negotiated.
Our lab (http://craft.epfl.ch) belongs to the School of Computer and Communication Sciences, at EPFL, the Swiss Federal Institute of Technology in Lausanne, Switzerland (http://www.epfl.ch). EPFL is ranked as one of the top universities in Europe. Lausanne, its lake
and its mountains, located at the center of Europe, offers a high quality of life.
Inquiries to pierre.dillenbourg@epfl.ch
Prof. Pierre Dillenbourg
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