Implicit relevance feedback from eye movements

Authors:
Jarkko Salojärvi;Kai Puolamäki;Samuel Kaski
Affiliations:
Neural Networks Research Centre, Helsinki University of Technology, Finland;Neural Networks Research Centre, Helsinki University of Technology, Finland;Neural Networks Research Centre, Helsinki University of Technology, Finland
Venue:
ICANN'05 Proceedings of the 15th international conference on Artificial Neural Networks: biological Inspirations - Volume Part I
Year:
2005

Citing 3
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Abstract

We explore the use of eye movements as a source of implicit relevance feedback information. We construct a controlled information retrieval experiment where the relevance of each text is known, and test usefulness of implicit relevance feedback with it. If perceived relevance of a text can be predicted from eye movements, eye movement signal must contain information on the relevance. The result is that relevance can be predicted to a considerable extent with discriminative hidden Markov models, and clearly better than randomly already with simple linear models of time-averaged data.