Attention-based information retrieval using eye tracker data

Authors:
Tristan Miller;Stefan Agne
Affiliations:
German Research Center for Artificial Intelligence (DFKI GmbH), Kaiserslautern, Germany;German Research Center for Artificial Intelligence (DFKI GmbH), Kaiserslautern, Germany
Venue:
Proceedings of the 3rd international conference on Knowledge capture
Year:
2005

Citing 0
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Abstract

We describe an automated keyword extraction system which uses an eye tracker to identify those areas of a written document the reader finds of greatest interest. The keywords thus extracted are then used in the back end of an information retrieval system to help the user find other documents which contain information of interest to him.