Why Do Users Issue Good Queries? : Neural Correlates of Term Specificity

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Kangassalo , L , Spapé , M , Jacucci , G & Ruotsalo , T 2019 , Why Do Users Issue Good Queries? Neural Correlates of Term Specificity . in Proceedings of the 42Nd International ACM SIGIR Conference on Research and Development in Information Retrieval . SIGIR'19 , ACM, Association for Computing Machinery , New York, NY, USA , pp. 375-384 , 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval , Paris , France , 21/07/2019 . https://doi.org/10.1145/3331184.3331243

Title: Why Do Users Issue Good Queries? : Neural Correlates of Term Specificity
Author: Kangassalo, Lauri; Spapé, Michiel; Jacucci, Giulio; Ruotsalo, Tuukka
Other contributor: University of Helsinki, Department of Computer Science
University of Helsinki, Department of Computer Science
University of Helsinki, Department of Computer Science
University of Helsinki, Department of Computer Science




Publisher: ACM, Association for Computing Machinery
Date: 2019
Language: eng
Number of pages: 10
Belongs to series: Proceedings of the 42Nd International ACM SIGIR Conference on Research and Development in Information Retrieval
Belongs to series: SIGIR'19
ISBN: 978-1-4503-6172-9
DOI: https://doi.org/10.1145/3331184.3331243
URI: http://hdl.handle.net/10138/308887
Abstract: Despite advances in the past few decades in studying what kind of queries users input to search engines and how to suggest queries for the users, the fundamental question of what makes human cognition able to estimate goodness of query terms is largely unanswered. For example, a person searching information about "cats" is able to choose query terms, such as "housecat", "feline", or "animal" and avoid terms like "similar", "variety", and "distinguish". We investigated the association between the specificity of terms occurring in documents and human brain activity measured via electroencephalography (EEG). We analyzed the brain activity data of fifteen participants, recorded in response to reading terms from Wikipedia documents. Term specificity was shown to be associated with the amplitude of evoked brain responses. The results indicate that by being able to determine which terms carry maximal information about, and can best discriminate between, documents, people have the capability to enter good query terms. Moreover, our results suggest that the effective query term selection process, often observed in practical search behavior studies, has a neural basis. We believe our findings constitute an important step in revealing the cognitive processing behind query formulation and evaluating informativeness of language in general.
Subject: human neurophysiology
neural correlates
term specificity
113 Computer and information sciences
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