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Examining adults’ web navigation patterns in multi-layered hypertext environments
Gao, Yizhu1; Cui, Ying1; Bulut, Okan1; Zhai, Xiaoming2; Chen, Fu3
2022-04-01
Source PublicationComputers in Human Behavior
ABS Journal Level2
ISSN0747-5632
Volume129Issue:107142
Abstract

Search engine users, when presented with multiple web search results, must be able to flexibly navigate dependent on the type of search tasks. Users who demonstrate inappropriate navigation behavior would likely fail to obtain target information. However, very few studies have examined users' web navigation patterns and their effectiveness in completing different types of search tasks in multi-layered hypertext environments. To fill these research gaps, we used data composing a sample of 1408 adults in the United States and the United Kingdom who completed both a specific information-locating task and an amorphous information-evaluating task when participating in the Programme for the International Assessment of Adult Competencies (PIAAC) 2012. We extracted participants’ clickstream data as well as their performance on the two tasks from recorded web navigation logs. Results from a series of latent class analyses and full-path sequence analyses showed five distinct behavioral patterns when participants performed the two tasks: of which, Flimsy, Breadth-first, Laborious, and Sampling patterns were revealed in both tasks, while the Satisficing pattern emerged exclusively in the specific information-locating task. Regarding pattern effectiveness, the Sampling pattern group outperformed other navigation pattern groups in the amorphous information-evaluating task, whereas the Satisficing pattern group performed best in the specific information-locating task.

KeywordMulti-layered Hypertext Environments Web Navigation Patterns Adult Clickstream Data Latent Class Analysis Full-path Sequence Analysis
DOI10.1016/j.chb.2021.107142
URLView the original
Indexed BySSCI
Language英語English
WOS Research AreaPsychology
WOS SubjectPsychology, Multidisciplinary ; Psychology, Experimental
WOS IDWOS:000740280200006
Scopus ID2-s2.0-85121234976
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Document TypeJournal article
CollectionFaculty of Education
Corresponding AuthorGao, Yizhu
Affiliation1.Department of Educational Psychology, University of Alberta, 6-110 Education Centre North, Edmonton, 11210 87, Ave NW, T6G 2R5, Canada
2.Department of Mathematics, Science, and Social Studies Education, University of Georgia, Athens, 110 Carlton Street, 30602, United States
3.Faculty of Education, University of Macau, Taipa, Avenida da Universidade, Macau, China
Recommended Citation
GB/T 7714
Gao, Yizhu,Cui, Ying,Bulut, Okan,et al. Examining adults’ web navigation patterns in multi-layered hypertext environments[J]. Computers in Human Behavior, 2022, 129(107142).
APA Gao, Yizhu., Cui, Ying., Bulut, Okan., Zhai, Xiaoming., & Chen, Fu (2022). Examining adults’ web navigation patterns in multi-layered hypertext environments. Computers in Human Behavior, 129(107142).
MLA Gao, Yizhu,et al."Examining adults’ web navigation patterns in multi-layered hypertext environments".Computers in Human Behavior 129.107142(2022).
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