Putkonen, A., Nioche, A. , Laine, M., Kuuramo, C. and Oulasvirta, A. (2023) Fragmented visual attention in web browsing: Weibull analysis of item visit times. In: Kamps, J., Goeuriot, L., Crestani, F., Maistro, M., Joho, H., Davis, B., Gurrin, C., Kruschwitz, U. and Caputo, A. (eds.) Advances in Information Retrieval. Series: Lecture notes in computer science (13981). Springer: Cham, Switzerland, pp. 62-78. ISBN 9783031282386 (doi: 10.1007/978-3-031-28238-6_5)
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Abstract
Users often browse the web in an exploratory way, inspecting what they find interesting without a specific goal. However, the temporal dynamics of visual attention during such sessions, emerging when users gaze from one item to another, are not well understood. In this paper, we examine how people distribute visual attention among content items when browsing news. Distribution of visual attention is studied in a controlled experiment, wherein eye-tracking data and web logs are collected for 18 participants exploring newsfeeds in a single- and multi-column layout. Behavior is modeled using Weibull analysis of item (article) visit times, which describes these visits via quantities like durations and frequencies of switching focused item. Bayesian inference is used to quantify uncertainty. The results suggest that visual attention in browsing is fragmented, and affected by the number, properties and composition of the items visible on the viewport. We connect these findings to previous work explaining information-seeking behavior through cost-benefit judgments.
| Item Type: | Book Sections |
|---|---|
| Additional Information: | 45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2–6, 2023, Proceedings, Part II. |
| Status: | Published |
| Glasgow Author(s) Enlighten ID: | Nioche, Dr Aurelien |
| Authors: | Putkonen, A., Nioche, A., Laine, M., Kuuramo, C., and Oulasvirta, A. |
| College/School: | College of Science and Engineering > School of Computing Science |
| Publisher: | Springer |
| ISSN: | 0302-9743 |
| ISBN: | 9783031282386 |
| Copyright Holders: | Copyright © 2023 The Authors |
| First Published: | First published in Advances in Information Retrieval 2023 |
| Publisher Policy: | Reproduced under a Creative Commons licence |
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