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2018 | OriginalPaper | Chapter

Inferring Web Page Relevance Using Pupillometry and Single Channel EEG

Author : Jacek Gwizdka

Published in: Information Systems and Neuroscience

Publisher: Springer International Publishing

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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.

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Footnotes
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Metadata
Title
Inferring Web Page Relevance Using Pupillometry and Single Channel EEG
Author
Jacek Gwizdka
Copyright Year
2018
Book
Information Systems and Neuroscience

Print ISBN: 978-3-319-67430-8

Electronic ISBN: 978-3-319-67431-5

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-67431-5_20

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