Implicit Relevance Feedback from Eye Movements

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.

• Type: Conference
• Year: 2005
• Where: ICANN
• Authors: Jarkko Salojärvi, Kai Puolamäki, Samuel Kaski
• Keywords: Eye Movement, ICANN 2005, Implicit Relevance Feedback, Relevance Feedback Information