Abstract

Search is one of the most performed activities on the World Wide Web. Various conceptual models postulate that the search process can be broken down into distinct emotional and cognitive states of searchers while they engage in a search process. These models significantly contribute to our understanding of the search process. However, they are typically based on self-report measures, such as surveys, questionnaire, etc. and therefore, only indirectly monitor the brain activity that supports such a process. With this work, we take one step further and directly measure the brain activity involved in a search process. To do so, we break down a search process into five time periods: a realisation of Information Need, Query Formulation, Query Submission, Relevance Judgment and Satisfaction Judgment. We then investigate the brain activity between these time periods. Using functional Magnetic Resonance Imaging (fMRI), we monitored the brain activity of twenty-four participants during a search process that involved answering questions carefully selected from the TREC-8 and TREC 2001 Q/A Tracks. This novel analysis that focuses on transitions rather than states reveals the contrasting brain activity between time periods - which enables the identification of the distinct parts of the search process as the user moves through them. This work, therefore, provides an important first step in representing the search process based on the transitions between neural states. Discovering more precisely how brain activity relates to different parts of the search process will enable the development of brain-computer interactions that better support search and search interactions, which we believe our study and conclusions advance.

Highlights

  • On the Web, search is ubiquitous and has come to form a core and fundamental part of everyday human activity [44]

  • Motivated by the ubiquitous nature of search in the modern world, this paper investigated brain activity during a search process

  • Our current understanding of search as a process composed of distinct steps has been based on indirect measures of brain activity, and it can be greatly refined and extended by the use of more direct measures

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Summary

Introduction

On the Web, search is ubiquitous and has come to form a core and fundamental part of everyday human activity [44]. An essential difference is that our model is based on the brain activity of searchers as they proceed through a search process This difference allows us to avoid the use of indirect measures based on behaviour to inform the model, which could affect the state of the process itself. To facilitate this examination of search, we rely upon a view of the brain as a set of large-scale networks that subserve different cognitive functions [37].

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