The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Task‐based information searching
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Suchman, L. (1995) · Communications of the ACM · doi:10.1145/223248.223263 · Cited by 991
Information Seeking in Electronic Environments
Marchionini, G. (1995) · doi:10.1017/cbo9780511626388 · Cited by 833
COGNITIVE PERSPECTIVES OF INFORMATION RETRIEVAL INTERACTION: ELEMENTS OF A COGNITIVE IR THEORY
INGWERSEN, P. (1996) · Journal of Documentation · doi:10.1108/eb026960 · Cited by 717
Cited by
Searching as learning: A systematization based on literature
Vakkari, P. (2016) · Journal of Information Science · doi:10.1177/0165551515615833 · Cited by 189
Self-citationKelly, D., Arguello, J., Edwards, A., & Wu, W.-C. (2015) · Proceedings of the 2015 International Conference on The Theory of Information Retrieval · doi:10.1145/2808194.2809465 · Cited by 155
Athukorala, K., Głowacka, D., Jacucci, G., Oulasvirta, A., & Vreeken, J. (2016) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23617 · Cited by 150
“It is difficult to distinguish between subjective task complexity and task difficulty because they are both assessed by the task doer with respect to their familiarity and degree of uncertainty within the task requirements (Bell & Ruthven, 2004; Byström, 2002; Vakkari, 2003).”
BackgroundUnderstanding User Satisfaction with Intelligent Assistants
Kiseleva, J., Williams, K., Jiang, J., Hassan Awadallah, A., Crook, A. C., Zitouni, I., & Anastasakos, T. (2016) · Proceedings of the 2016 ACM on Conference on Human Information Interaction and Retrieval · doi:10.1145/2854946.2854961 · Cited by 150
Variations in Article Seeking and Reading Patterns of Academics: What Makes a Difference?
Tenopir, C., King, D. W., Spencer, J., & Wu, L. (2009) · Library & Information Science Research · doi:10.1016/j.lisr.2009.02.002 · Cited by 108
Metadata
- Authors
- Vakkari, P.
- Venue
- Annual Review of Information Science and Technology
- Publisher
- Wiley
- Published
- 2003-01
- Volume
- 37
- Issue
- 1
- Pages
- 413-464
- ISSN
- 0066-4200 (ISSN-L)
- 1550-8382
- OpenAlex
- W2092610223
- Cited by
- 366
- References
- 3
- FWCI
- 35.26
- Type
- journal article
- Language
- en
- Open access
- closed
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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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
