The basis of this work was to shed a light on the nature of key concepts in information retrieval, i.e. relevance and information need from a Neuropsychological point of view. From a practical point of view this work can open a new research direction in detecting and prediction both information need and the relevance judgement of searchers by monitoring their brain activities which could lead to the next generation of information systems. The key contribution of this work was the introduction of the first neuropsychological model for the concept of relevance and information need. These three publications have won two best paper awards in ECIR 2013 and ACM SIGIR 2016. Within this work, I learnt how to design and conduct fMRI and EEG based experiments as well as how to process and analyse such big data.
Yashar Moshfeghi, Alvaro F. H. Rosero, and Joemon M. Jose. A Game Theory
Approach for Effective Crowdsource Based Relevance Assessment. ACM Transactions on Intelligent Systems and Technology, 7(4), 55, 2016. (doi:10.1145/2873063)