PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Implicit Relevance Feedback from Eye Movements
Jarkko Salojärvi, Kai Puolamäki and Samuel Kaski
In: ICANN 2005, 11-15 Sep 2005, Warsaw, Poland.

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.

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EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:User Modelling for Computer Human Interaction
ID Code:1085
Deposited By:Jarkko Salojärvi
Deposited On:18 September 2005