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ICANN
2005
Springer

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Implicit Relevance Feedback from Eye Movements

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Implicit Relevance Feedback from Eye Movements

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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.

Jarkko Salojärvi, Kai Puolamäki, Samuel

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Added	27 Jun 2010
Updated	27 Jun 2010
Type	Conference
Year	2005
Where	ICANN
Authors	Jarkko Salojärvi, Kai Puolamäki, Samuel Kaski

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