Relevance feedback from eye movements for proactive information retrieval
Jarkko Salojärvi, Kai Puolamäki and Samuel Kaski
In: Workshop on Processing Sensory Information for Proactive Systems (PSIPS 2004), 14-15 Jun 2004, Oulu, Finland.
We study whether it is possible to infer from eye movements measured during reading what is relevant for the user in an information
retrieval task. Inference is made using hidden Markov and discriminative hidden Markov models. The result of this feasibility study is that prediction of relevance is possible to a certain extent, and models benefit from taking into account the time series nature of the data.