Harvey, M. and Pointon, M. (2017) Searching on the go : the effects of fragmented attention on mobile web search tasks. In: Proceedings of the 40th international ACM SIGIR conference on Research and development in Information Retrieval. The 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 07-11 Aug 2017, Tokyo, Japan. Association for Computing Machinery (ACM) , pp. 155-164. ISBN 9781450350228
Abstract
Smart phones and tablets are rapidly becoming our main method of accessing information and are frequently used to perform on-the-go search tasks. Mobile devices are commonly used in situations where attention must be divided, such as when walking down a street. Research suggests that this increases cognitive load and, therefore, may have an impact on performance. In this work we conducted a laboratory experiment with both device types in which we simulated everyday, common mobile situations that may cause fragmented attention, impact search performance and affect user perception.
Our results showed that the fragmented attention induced by the simulated conditions significantly affected both participants' objective and perceived search performance, as well as how hurried they felt and how engaged they were in the tasks. Furthermore, the type of device used also impacted how users felt about the search tasks, how well they performed and the amount of time they spent engaged in the tasks. These novel insights provide useful information to inform the design of future interfaces for mobile search and give us a greater understanding of how context and device size affect search behaviour and user experience.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 ACM. This is an author-produced version of a paper subsequently published in SIGIR '17: Proceedings. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 23 Oct 2020 13:40 |
Last Modified: | 23 Oct 2020 13:40 |
Status: | Published |
Publisher: | Association for Computing Machinery (ACM) |
Refereed: | Yes |
Identification Number: | 10.1145/3077136.3080770 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:167081 |