Verma, M;
Yilmaz, E;
(2017)
Search Costs vs. User Satisfaction on Mobile.
In: Jose, JM and Hauff, C and Altingovde, IS and Song, D and Albakour, D and Watt, S and Tait, J, (eds.)
Advances in Information Retrieval.
(pp. pp. 698-704).
Springer: Cham, Switzerland.
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Abstract
Information seeking is an interactive process where users submit search queries, read snippets or click on documents until their information need is satisfied. User cost-benefit models have recently gained popularity to study search behaviour. These models assume that a user gains information at expense of some cost. Primary assumption is that an adept user would maximize gain while minimizing search costs. However, existing work only provides an estimate of user cost or benefit per action, it does not explore how these costs are correlated with user satisfaction. Moreover, parameters of these models are determined by desktop based observational studies. Whether these parameters vary with device is unknown. In this paper we address both problems by studying how these models correlate with user satisfaction and determine parameters on data collected via mobile based search study. Our experiments indicate that several parameters indeed differ in mobile setting and that existing cost functions, when applied to mobile search, do not highly correlate with user satisfaction.
| Type: | Proceedings paper |
|---|---|
| Title: | Search Costs vs. User Satisfaction on Mobile |
| Event: | 39th European Conference on Information Retrieval Research (ECIR) |
| Location: | Aberdeen, SCOTLAND |
| Dates: | 08 April 2017 - 13 April 2017 |
| ISBN-13: | 978-3-319-56607-8 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1007/978-3-319-56608-5_68 |
| Publisher version: | https://doi.org/10.1007/978-3-319-56608-5_68 |
| 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: | Science & Technology, Technology, Computer Science, Information Systems, Computer Science, Theory & Methods, Computer Science, Cost-benefit analysis, Effort, User satisfaction |
| UCL classification: | UCL 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/10070793 |
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