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In Whistler, BC, Canada, on December 10, 2005.
Core event of the PASCAL EU Network of Excellence
The workshop was intended to gather together machine learning researchers interested in a new promising and challenging research area. Some of the papers introduced best-performing solutions of a PASCAL Challenge, of inferring intent of users based on eye movement signals. The rest broadened the scope towards other implicit feedback signals, and towards more general problems of user modeling.
The tasks require advanced signal processing and feature extraction, and dynamic machine learning models. Several branches of machine learning are applicable, and we expect eye movement data to become a new challenging testbench for machine learning algorithms.
The Eye Movement Challenge was organized for the PASCAL network but participation was open to all. We made eye movement data available, and the objective was to predict from eye movement data whether a reader finds a text relevant. The scientific goals of the Challenge were to advance machine learning methodology, to find the best eye movement features, and to learn of the psychology underlying eye movements in search tasks.
Greg Edwards, the founder and CTO of Eyetools Inc, gave an invited talk in the workshop. Eyetools has done pioneering work in inferring mental state from eye movements and visualizing eyetracking data.
Samy Bengio, IDIAP
Helene Hembrooke, Cornell
Thorsten Joachims, Cornell
Samuel Kaski, Helsinki University of Technology
Ilpo Kojo, Helsinki School of Economics
Petri Myllymäki, University of Helsinki
Kai Puolamäki, Helsinki University of Technology
Kari-Jouko Räihä, University of Tampere
John Shawe-Taylor, University of Southampton
Samuel Kaski and Kai Puolamäki [an error occurred while processing this directive]