Understanding Mobile Search Task Relevance and User Behaviour in Context

Aliannejadi, Mohammad, Harvey, Morgan, Costa, Luca, Pointon, Matthew and Crestani, Fabio (2019) Understanding Mobile Search Task Relevance and User Behaviour in Context. In: Proceedings of the 2019 Conference on Human Information Interaction and Retrieval: Glasgow, Scotland UK — March 10 - 14, 2019. CHIIR (19). Association for Computing Machinery, New York, NY, pp. 143-151. ISBN 9781450360258

Full text not available from this repository. (Request a copy)
Official URL: https://doi.org/10.1145/3295750.3298923


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.

Item Type: Book Section
Uncontrolled Keywords: Qualitative Research; Acceptability; Mobile Health; Mental Health; Mental Wellbeing; Lived Informatics; Sensors.
Subjects: P900 Others in Mass Communications and Documentation
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Related URLs:
Depositing User: Becky Skoyles
Date Deposited: 07 Feb 2019 11:44
Last Modified: 10 Oct 2019 19:02
URI: http://nrl.northumbria.ac.uk/id/eprint/37883

Actions (login required)

View Item View Item


Downloads per month over past year

View more statistics