Inferring Web Page Relevance Using Pupillometry and Single Channel EEG

Jacek Gwizdka ()
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Jacek Gwizdka: University of Texas at Austin

A chapter in Information Systems and Neuroscience, 2018, pp 175-183 from Springer

Abstract: Abstract We continue investigating neuro-physiological correlates of information relevance decisions and report on research-in-progress, in which we study health-related information search tasks conducted on open web. Data was collected using an eye-tracker and a single-channel EEG device. Our findings show significant differences in pupil dilation on visits and revisits to relevant and irrelevant pages. Significant differences in EEG-measured power of alpha frequency band and in EEG-detected attention levels were also found in a few conditions. The results confirm feasibility of using pupil dilation and suggest plausibility of using low-cost EEG devices to infer relevance.

Keywords: Information search; Relevance; Eye-tracking; Pupillometry; EEG (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-319-67431-5_20

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DOI: 10.1007/978-3-319-67431-5_20

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