PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

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.

Abstract

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.

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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:117
Deposited By:Jarkko Salojärvi
Deposited On:25 May 2004