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Study of Relevance and Effort across Devices

Verma, M; Yilmaz, E; Craswell, N; (2018) Study of Relevance and Effort across Devices. In: Shah, Chirag and J. Belkin, Nicholas, (eds.) Proceedings of the 2018 Conference on Human Information Interaction & Retrieval (CHIIR '18). (pp. pp. 309-312). ACM: Washington, DC, USA. Green open access

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Abstract

Relevance judgements are essential for designing information retrieval systems. Traditionally, judgements have been judgements have been gathered via desktop interfaces. However, with the rise in popularity of smaller devices for information access, it has become imperative to investigate whether desktop based judgements are different from judgements gathered using mobiles. Recently, user effort and document usefulness have also emerged as important dimensions to optimize and evaluate information retrieval systems. Since existing work is limited to desktops, it remains to be seen how these judgements are affected by user’s search device. In this paper, we address these shortcomings by collecting and analyzing relevance, usefulness and effort judgements on mobiles and desktops. Analysis of these judgements indicates that high agreement rate between desktop and mobile judges for relevance, followed by usefulness and findability. We also found that desktop judges are likely to spend more time and examine documents in greater depth on non-relevant/notuseful/difficult documents compared to mobile judges. Based on our findings, we suggest that relevance judgements should be gathered via desktops and effort judgements should be collected on each device independently.

Type: Proceedings paper
Title: Study of Relevance and Effort across Devices
Event: 2018 Conference on Human Information Interaction & Retrieval (CHIIR '18)
Location: New Brunswick, NJ
Dates: 11 March 2018 - 15 March 2018
ISBN-13: 978-1-4503-4925-3
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/3176349.3176888
Publisher version: https://doi.org/10.1145/3176349.3176888
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: ACM proceedings, LATEX, text tagging
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10073136
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