Fixation-Related EEG Frequency Band Power Analysis: A Promising Neuro-Cognitive Methodology to Evaluate the Matching-Quality of Web Search Results?

  • Christian Scharinger
  • Yvonne Kammerer
  • Peter Gerjets
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 617)


We used fixation-related EEG frequency band power analyses to study the evaluation of web search results. Participants were presented thirteen search queries, each followed by a Google-like list of six search results. One of the search results was a complete match (i.e., having strong lexical and semantical overlap with the search query), one a complete mismatch (i.e., having neither lexical nor semantical overlap with the search query), and four were partial matches, having either only semantical or only lexical overlap with the search query. We analyzed the EEG alpha frequency band power for individuals’ fixations during the initial viewing of each search result. We observed that on average the EEG alpha frequency band power at parietal electrodes was significantly lower for the complete match than for the other search results. Thus, this decreased alpha power might reflect participants’ detection of the hit in a list of search results.


EEG Alpha Eye-tracking Web search 



This research was funded by the Leibniz ScienceCampus Tuebingen Informational Environments (


  1. 1.
    Gwizdka, J.: Distribution of cognitive load in web search. J. Am. Soc. Inf. Sci. Technol. 11, 2167–2187 (2010)CrossRefGoogle Scholar
  2. 2.
    Scharinger, C., Soutschek, A., Schubert, T., Gerjets, P.: When flanker meets the N-back: what EEG and pupil dilation data reveal about the interplay between the two central-executive working memory functions inhibition and updating. Psychophysiology 52, 1293–1304 (2015)CrossRefGoogle Scholar
  3. 3.
    Gevins, A., Smith, M.E., McEvoy, C.L., Yu, D.: High-resolution EEG mapping of cortical activation related to working memory: effects of task difficulty, type of processing, and practice. Cereb. Cortex 7, 374–385 (1997)CrossRefGoogle Scholar
  4. 4.
    Klimesch, W., Doppelmayr, M., Pachinger, T., Russegger, H.: Event-related desynchronization in the alpha band and the processing of semantic information. Brain Res. Cogn. Brain Res. 6, 83–94 (1997)CrossRefGoogle Scholar
  5. 5.
    Klimesch, W.: Alpha-band oscillations, attention, and controlled access to stored information. Trends Cogn. Sci. 16, 606–617 (2012)CrossRefGoogle Scholar
  6. 6.
    Antonenko, P., Paas, F., Grabner, R., van Gog, T.: Using Electroencephalography to measure cognitive load. Educ. Psychol. Rev. 22, 425–438 (2010)CrossRefGoogle Scholar
  7. 7.
    Scharinger, C., Kammerer, Y., Gerjets, P.: Pupil dilation and EEG alpha frequency band power reveal load on executive functions for link-selection processes during text reading. PLoS ONE 10, e0130608 (2015)CrossRefGoogle Scholar
  8. 8.
    Keil, F.C., Kominsky, J.F.: Missing links in middle school: developing use of disciplinary relatedness in evaluating internet search results. PLoS ONE 8, e67777 (2013)CrossRefGoogle Scholar
  9. 9.
    Pan, B., Hembrooke, H., Joachims, T., Lorigo, L., Gay, G., Granka, L.: In Google we trust: users’ decisions on rank, position, and relevance. J. Comput. Commun. 12, 801–823 (2007)Google Scholar
  10. 10.
    Davis, C.E., Hauf, J.D., Wu, D.Q., Everhart, D.E.: Brain function with complex decision making using electroencephalography. Int. J. Psychophysiol. 79, 175–183 (2011)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Christian Scharinger
    • 1
  • Yvonne Kammerer
    • 1
  • Peter Gerjets
    • 1
  1. 1.Leibniz-Institut für WissensmedienTübingenGermany

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