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      Understanding Mobile Search Task Relevance and User Behaviour in Context

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          Abstract

          Improvements in mobile technologies have led to a dramatic change in how and when people access and use information, and is having a profound impact on how users address their daily information needs. Smart phones are rapidly becoming our main method of accessing information and are frequently used to perform `on-the-go' search tasks. As research into information retrieval continues to evolve, evaluating search behaviour in context is relatively new. Previous research has studied the effects of context through either self-reported diary studies or quantitative log analysis; however, neither approach is able to accurately capture context of use at the time of searching. In this study, we aim to gain a better understanding of task relevance and search behaviour via a task-based user study (n=31) employing a bespoke Android app. The app allowed us to accurately capture the user's context when completing tasks at different times of the day over the period of a week. Through analysis of the collected data, we gain a better understanding of how using smart phones on the go impacts search behaviour, search performance and task relevance and whether or not the actual context is an important factor.

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          Most cited references19

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          A large scale study of wireless search behavior

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            Temporal analysis of a very large topically categorized Web query log

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              Exploring and exploiting user search behavior on mobile and tablet devices to improve search relevance

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                Author and article information

                Journal
                17 December 2018
                Article
                10.1145/3295750.3298923
                1812.07081
                2d669f77-f005-4842-b97d-ed6f0803f109

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

                History
                Custom metadata
                To appear at CHIIR 2019 in Glasgow, UK
                cs.IR cs.HC

                Information & Library science,Human-computer-interaction
                Information & Library science, Human-computer-interaction

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