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Information Need Awareness: An EEG Study

Published: 07 July 2022 Publication History

Abstract

A fundamental goal of Information Retrieval (IR) is to satisfy search­ers' information need (IN). Advances in neuroimaging technologies have allowed for interdisciplinary research to investigate the brain activity associated with the realisation of IN. While these studies have been informative, they were not able to capture the cognitive processes underlying the realisation of IN and the interplay between them with a high temporal resolution. This paper aims to investigate this research question by inferring the variability of brain activity based on the contrast of a state of IN with the two other (no-IN) scenarios. To do so, we employed Electroencephalography (EEG) and constructed an Event-Related Potential (ERP) analysis of the brain signals captured while the participants were experiencing the realisation of IN. In particular, the brain signals of 24 healthy participants were captured while performing a Question-Answering (Q/A) Task. Our results show a link between the early stages of processing, corresponding to awareness and the late activity, meaning memory control mechanisms. Our findings also show that participants exhibited early N1-P2 complex indexing awareness processes and indicate, thus, that the realisation of IN is manifested in the brain before it reaches the user's consciousness. This research contributes novel insights into a better understanding of IN and informs the design of IR systems to better satisfy it.

Supplementary Material

MP4 File (SIGIR22-fp0987.mp4)
The recording of the presentation supporting the research paper "Information Need Awareness: An EEG Study", accepted at the SIGIR'22 Conference. The paper presents an investigation of the brain signals acquired from the human subjects via EEG in order to manifest the modality of neural correlates behind the users? information need awareness. The video recording outlines the key theoretical and research concepts. It describes the methodological framework of the featured user-based study and presents its main findings with respect to the research questions. Finally, it discusses the future work. The presentation is delivered by Dominika Michalkova, one of the paper's authors.

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cover image ACM Conferences
SIGIR '22: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
July 2022
3569 pages
ISBN:9781450387323
DOI:10.1145/3477495
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  1. anomalous state of knowledge
  2. eeg
  3. erp
  4. information need
  5. information retrieval
  6. memory error

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  • (2023)What Song Am I Thinking Of?Machine Learning, Optimization, and Data Science10.1007/978-3-031-53966-4_31(418-432)Online publication date: 22-Sep-2023

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