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Inferring Web Page Relevance Using Pupillometry and Single Channel EEG

In: Information Systems and Neuroscience

Author

Listed:
  • Jacek Gwizdka

    (University of Texas at Austin)

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.

Suggested Citation

  • Jacek Gwizdka, 2018. "Inferring Web Page Relevance Using Pupillometry and Single Channel EEG," Lecture Notes in Information Systems and Organization, in: Fred D. Davis & René Riedl & Jan vom Brocke & Pierre-Majorique Léger & Adriane B. Randolph (ed.), Information Systems and Neuroscience, pages 175-183, Springer.
    • Handle: RePEc:spr:lnichp:978-3-319-67431-5_20
    DOI: 10.1007/978-3-319-67431-5_20
    as

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