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Towards Identifying User Intentions in Exploratory Search using Gaze and Pupil Tracking

Exploration in large multimedia collections is challenging because the user often navigates into misleading directions or information areas. The vision of our project is to develop an assistive technology that is able to support the individual user and enhance the efficiency of an ongoing exploratory search. Such a technical search aid should be able to find out about the user's current interests and goals. Respective parameters can be found in the central and in the peripheral nervous system as well as in overt behavior. Therefore, we aim at using eye movements, pupillometry and EEG to assess respective information. Here, we describe the set-up and the first results of a preliminary user study investigating the effects of searching an image collection on eye movements and pupil dilations. First data show that numbers of fixation, fixation durations as well as pupil dilations differ systematically when looking at a subsequently selected target as compared with not selected items. These results support our vision that further research additionally investigating EEG can in fact result in better predicting the searchers goals and next choices.