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Neural Correlates of Satisfaction of an Information Need

  • Conference paper
  • First Online:
Machine Learning, Optimization, and Data Science (LOD 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13811))

Abstract

Knowing when a searcher’s information needs (IN) are satisfied is one of the ultimate goals in information retrieval. However, the psycho-physiological manifestation of the phenomenon remains unclear. In this study, we investigate brain manifestations of the moment when an IN is satisfied compared to when an IN is not satisfied. To achieve this, we used functional Magnetic Resonance Imaging (fMRI) to measure brain activity during an experimental task. The task was purposefully designed to simulate the information-seeking process and suit the fMRI experimental procedure. Twenty-nine participants engaged in an experimental task designed to represent a search process while being scanned. Our results indicated that both affective and cognitive processes are involved when an information need was being satisfied. These results are in distinction to when satisfaction was not obtained. These results provide insight into features of brain activity that can ultimately be developed to detect satisfaction in search systems with more portable brain imaging devices.

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Notes

  1. 1.

    https://people.cas.sc.edu/rorden/mricron/index.html.

  2. 2.

    https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/Atlases.

  3. 3.

    https://bioimagesuiteweb.github.io/webapp/.

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Author information

Authors and Affiliations

  1. University of Glasgow, Glasgow, UK

    Sakrapee Paisalnan & Frank Pollick

  2. NeuraSearch Laboratory, University of Strathclyde, Glasgow, UK

    Yashar Moshfeghi

Authors
  1. Sakrapee Paisalnan
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  2. Frank Pollick
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  3. Yashar Moshfeghi
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Corresponding author

Correspondence to Yashar Moshfeghi .

Editor information

Editors and Affiliations

  1. University of Catania, Catania, Italy

    Giuseppe Nicosia

  2. University of Reading, Reading, UK

    Varun Ojha

  3. University of Oxford, Oxford, UK

    Emanuele La Malfa

  4. University of Cambridge, Cambridge, UK

    Gabriele La Malfa

  5. University of Florida, Gainesville, FL, USA

    Panos Pardalos

  6. Free University of Bozen-Bolzano, Bolzano, Italy

    Giuseppe Di Fatta

  7. University of Catania, Catania, Italy

    Giovanni Giuffrida

  8. Dana-Farber Cancer Institute, Boston, MA, USA

    Renato Umeton

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Paisalnan, S., Pollick, F., Moshfeghi, Y. (2023). Neural Correlates of Satisfaction of an Information Need. In: Nicosia, G., et al. Machine Learning, Optimization, and Data Science. LOD 2022. Lecture Notes in Computer Science, vol 13811. Springer, Cham. https://doi.org/10.1007/978-3-031-25891-6_34

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  • DOI: https://doi.org/10.1007/978-3-031-25891-6_34

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-031-25891-6

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