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