Skip to main content
SpringerLink
Log in

Identifying Neurological Patterns Associated with Information Seeking: A Pilot fMRI Study

  • Conference paper
  • First Online:
Information Systems and Neuroscience

Part of the book series: Lecture Notes in Information Systems and Organisation ((LNISO,volume 10))

Abstract

The aim was to determine if search task types and the modality of search result presentation lead to differential neurological responses. Based on data collected from 12 healthy adults (18–25 years old), using an fMRI-based methodology, a significant main effect was identified for task type and ranking. An interaction was also found between ranking and accuracy.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Fisher, K., Erdelez, S., Mckechnie (eds.): Theories of Information Behavior. Information Today, New York (2005)

    Google Scholar 

  2. Belkin, N.J., Oddy, R.N., Brooks, H.M.: ASK for information retrieval: part I. Background and theory. J. Documentation 38(2), 61–71 (1982)

    Article  Google Scholar 

  3. Pirolli, P.: Information Foraging Theory. Oxford University Press, New York (2009)

    Google Scholar 

  4. Gwizdka, J.: Characterizing relevance with eye-tracking measures. In: Proceedings of the 5th Information Interaction in Context Symposium, pp. 58–67. ACM Press, New York (2014)

    Google Scholar 

  5. Moshfeghi, Y., Pinto, L.R., Pollick F.E., Jose, J.M.: Understanding relevance: an fMRI study. In: Proceedings of the European Conference on Information Retrieval, pp. 14–25. Springer, Heidelberg (2013)

    Google Scholar 

  6. Moshfeghi, Y., Jose, J.M.: An effective implicit relevance feedback technique using affective, physiological and behavioural features. In: Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 133–142, ACM Press, New York (2013)

    Google Scholar 

  7. Riedl, R., Randolph, A., vom Brocke, J., Léger, P.-M., Dimoka, A.: The potential of neuroscience for human-computer interaction research. In: SIGHCI Proceedings, paper 16 (2010)

    Google Scholar 

  8. Dimoka, A., Pavlou, P.A., Davis, F.: NeuroIS: the potential of cognitive neuroscience for information systems research. Inf. Syst. Res. 22(4), 687–702 (2010)

    Google Scholar 

  9. Maior, H., Pike, M., Sharples, S., Wilson, M.L: Examining the reliability of using fNIRS in realistic hci settings for spatial and verbal tasks. In: Proceedings of CHI’15 (accepted)

    Google Scholar 

  10. Pike, M.F., Maior, H.A., Porcheron, M., Sharples, S.C., Wilson, M.L.: Measuring the effect of think aloud protocols on workload using fNIRS. In: Proceedings of CHI’14, pp. 3807–3816. ACM Press, New York (2014)

    Google Scholar 

Download references

Acknowledgments

NSF Grant #1444896 partially supported this study.

Author information

Authors and Affiliations

  1. Information Science, Biomedical Research Imaging Center, Chapel Hill, USA

    Javed Mostafa & Vincent Carrasco

  2. Cognitive Neuroscience, Biomedical Research Imaging Center, Chapel Hill, USA

    Chris Foster & Kelly Giovenallo

  3. The University of North Carolina at Chapel Hill, Chapel Hill, USA

    Javed Mostafa, Vincent Carrasco, Chris Foster & Kelly Giovenallo

Authors
  1. Javed Mostafa
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Vincent Carrasco
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Chris Foster
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Kelly Giovenallo
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Javed Mostafa .

Editor information

Editors and Affiliations

  1. Walton College of Business (room 216), University of Arkansas, Fayetteville, Arkansas, USA

    Fred D. Davis

  2. University of Applied Sciences Upper Austria & University of Linz, Steyr, Austria

    René Riedl

  3. University of Liechtenstein, Vaduz, Liechtenstein

    Jan vom Brocke

  4. HEC Montreal, Montréal, Québec, Canada

    Pierre-Majorique Léger

  5. Kennesaw State University, Kennesaw, Georgia, USA

    Adriane B. Randolph

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Mostafa, J., Carrasco, V., Foster, C., Giovenallo, K. (2015). Identifying Neurological Patterns Associated with Information Seeking: A Pilot fMRI Study. In: Davis, F., Riedl, R., vom Brocke, J., Léger, PM., Randolph, A. (eds) Information Systems and Neuroscience. Lecture Notes in Information Systems and Organisation, vol 10. Springer, Cham. https://doi.org/10.1007/978-3-319-18702-0_22

Download citation

Publish with us

Policies and ethics

Search

Navigation