Inferring web page relevance using pupillometry and single channel EEG

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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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Gwizdka, J. (2017). Inferring web page relevance using pupillometry and single channel EEG. In Lecture Notes in Information Systems and Organisation (Vol. 25, pp. 175–183). Springer Heidelberg. https://doi.org/10.1007/978-3-319-67431-5_20

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