How users assess Web pages for information seeking
Open accessAbstract
In this article, we investigate the criteria used by online searchers when assessing the relevance of Web pages for information‐seeking tasks. Twenty‐four participants were given three tasks each, and they indicated the features of Web pages that they used when deciding about the usefulness of the pages in relation to the tasks. These tasks were presented within the context of a simulated work‐task situation. We investigated the relative utility of features identified by participants (Web page content, structure, and quality) and how the importance of these features is affected by the type of information‐seeking task performed and the stage of the search. The results of this study provide a set of criteria used by searchers to decide about the utility of Web pages for different types of tasks. Such criteria can have implications for the design of systems that use or recommend Web pages.
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The level of difficulty in finding information increases due to the complicated structure of the guidelines.
“Consequently, it is inevitable that the level of difficulty in finding information also increases due to the complicated structure [58].”
From AI Governance in Higher Education: Case Studies of Guidance at Big Ten Universities (2024) · cites this paper as [58]
Section 4.1.2 (page unavailable) reports that participants were sometimes overwhelmed by the number of links on a web page, supporting a narrower point that page structure can hinder information seeking. The paper does not establish that the structure of guidelines inevitably increases the difficulty of finding information. (LLM, conf=0.80)
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Examination of work task and criteria choices for the relevance judgment process
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- Authors
- Tombros, A., Ruthven, I., & Jose, J. M.
- Affiliations
- Queen Mary University of London (GB)
- University of Strathclyde (GB)
- University of Glasgow (GB)
- Corresponding author
- Tombros, Anastasios
- Ruthven, Ian
- Jose, Joemon M.
- Venue
- Journal of the American Society for Information Science and Technology
- Publisher
- Wiley
- Published
- 2004-12-15
- Volume
- 56
- Issue
- 4
- Pages
- 327-344
- ISSN
- 1532-2882 (ISSN-L)
- 1532-2890
- OpenAlex
- W2070204737
- Cited by
- 202
- References
- 41
- Citations by year
- 2026: 1 · 2024: 3 · 2023: 2 · 2022: 3 · 2021: 6 · 2020: 5 · 2019: 4 · 2018: 11 · 2017: 12 · 2016: 11 · 2015: 6 · 2014: 15 · 2013: 11 · 2012: 15
- FWCI
- 29.44
- Type
- journal article
- Language
- en
- Open access
- Locations
- Journal of the American Society for Information Science and Technology (publishedVersion)
- Strathprints: The University of Strathclyde institutional repository (University of Strathclyde) (submittedVersion)
- Funders
- Engineering and Physical Sciences Research Council
- Topics
- Physical Sciences › Computer Science › Information Systems › Information Retrieval and Search Behavior
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Physical Sciences › Computer Science › Information Systems › Recommender Systems and Techniques
- Keywords
- information seeking, page structure, task type, web design
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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