Towards understanding neuroscience of realisation of information need in light of relevance and satisfaction judgement

Sakrapee Paisalnan*, Frank Pollick, Yashar Moshfeghi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

5 Citations (Scopus)

Abstract

Understanding how to satisfy searchers' information need (IN) is the main goal of Information Retrieval (IR) systems. In this study, we investigate the relationships between information need and the two key concepts of relevance and satisfaction from the perspective of neuroscience. We utilise functional Magnetic Resonance Imaging (fMRI) to measure the brain activity of twenty-four participants during performing a Question Answering (Q/A) task that, following the realisation of an information need, included the opportunity to initiate searches and evaluate returned documents. We contrast brain activity between the time of realisation of information need (IN) and two other periods, relevance judgement (RJ), i.e. IN vs RJ, and satisfaction judgement (SJ), i.e. IN vs SJ. To interpret these results, we use meta-analytic techniques of reverse inference to identify the functional significance of the discovered brain regions. The results provide consistent evidence of the involvement of several cognitive functions, including imagery, attention, planning, calculation and working memory. Our findings lead us to obtain a better understanding associated with the characteristic of information need and its relationships to relevance and satisfaction.

Original languageEnglish
Title of host publicationMachine Learning, Optimization, and Data Science
Subtitle of host publication7th International Conference, LOD 2021, Revised Selected Papers
EditorsGiuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Giorgio Jansen, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton
Place of PublicationCham, Switzerland
PublisherSpringer Science and Business Media Deutschland GmbH
Pages41-56
Number of pages16
ISBN (Print)9783030954666
DOIs
Publication statusPublished - 2 Feb 2022
Event7th International Conference on Machine Learning, Optimization, and Data Science, LOD 2021 - Virtual, Online
Duration: 4 Oct 20218 Oct 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13163 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Conference on Machine Learning, Optimization, and Data Science, LOD 2021
CityVirtual, Online
Period4/10/218/10/21

Keywords

  • fMRI
  • information need
  • information retrieval
  • neuroscience
  • relevance
  • satisfaction

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