Understanding relevance: an fMRI study

Authors:
Yashar Moshfeghi;Luisa R. Pinto;Frank E. Pollick;Joemon M. Jose
Affiliations:
School of Computing Science, University of Glasgow, Glasgow, UK;School of Computing Science, University of Glasgow, Glasgow, UK;School of Psychology, University of Glasgow, Glasgow, UK;School of Computing Science, University of Glasgow, Glasgow, UK
Venue:
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
Year:
2013

Citing 11
Cited 1

A case for interaction: a study of interactive information retrieval behavior and effectiveness

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Relevance: the whole history

Journal of the American Society for Information Science - Special topic issue on the history of documentation and information science: part II
Display time as implicit feedback: understanding task effects

Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Accurately interpreting clickthrough data as implicit feedback

Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
The Turn: Integration of Information Seeking and Retrieval in Context (The Information Retrieval Series)

The Turn: Integration of Information Seeking and Retrieval in Context (The Information Retrieval Series)
A study on the effects of personalization and task information on implicit feedback performance

CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Relevance: A review of the literature and a framework for thinking on the notion in information science. Part II: nature and manifestations of relevance

Journal of the American Society for Information Science and Technology
Eye tracking and online search: Lessons learned and challenges ahead

Journal of the American Society for Information Science and Technology
Using facial expressions and peripheral physiological signals as implicit indicators of topical relevance

MM '09 Proceedings of the 17th ACM international conference on Multimedia
Enriching user profiling with affective features for the improvement of a multimodal recommender system

Proceedings of the ACM International Conference on Image and Video Retrieval
A comparison of general vs personalised affective models for the prediction of topical relevance

Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval

ECIR 2013: 35th european conference on information retrieval

ACM SIGIR Forum

Quantified Score

Hi-index	0.00

Visualization

Abstract

Relevance is one of the key concepts in Information Retrieval (IR). A huge body of research exists that attempts to understand this concept so as to operationalize it for IR systems. Despite advances in the past few decades, answering the question "How does relevance happen?" is still a big challenge. In this paper, we investigate the connection between relevance and brain activity. Using functional Magnetic Resonance Imaging (fMRI), we measured the brain activity of eighteen participants while they performed four topical relevance assessment tasks on relevant and non-relevant images. The results of this experiment revealed three brain regions in the frontal, parietal and temporal cortex where brain activity differed between processing relevant and non-relevant documents. This is an important step in unravelling the nature of relevance and therefore better utilising it for effective retrieval.