The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
A case for interaction: a study of interactive information retrieval behavior and effectiveness
Open accessAbstract
This study investigates the use and effectiveness of an ,advanced information retrieval (IR) system (INQUERY).64 novice IR system users were studied in their use of a baseline version of INQUERY compared with one of three experimental versions, each offering a different level of interaction with a relevance feedback facility for automatic query reformulation.Results, in an inforumtion filtering task, indicate that: these subjects, after minimal training, were able to use the baseline system reasonably effectively; availability and use of relevance feedback increased retrieval effectiveness; and increased opportunity for user interaction with and control of relevance feedback made the interactions more efficient and usable while maintaining or increasing effectivehess.
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Cites
Improving retrieval performance by relevance feedback
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Visual information seeking: tight coupling of dynamic query filters with starfield displays
Ahlberg, C., & Shneiderman, B. (1994) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/191666.191775 · Cited by 824
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Overview of the Second Text Retrieval Conference (TREC-2)
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Information Retrieval Experiment
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Self-citationVisual Information Seeking: Tight Coupling of Dynamic Query Filters with Starfield Displays
Ahlberg, C., & Shneiderman, B. (1995) · Elsevier eBooks · doi:10.1016/b978-0-08-051574-8.50047-9 · Cited by 180
Natural language vs. Boolean query evaluation: a comparison of retrieval performance
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Cited by
Personalizing search via automated analysis of interests and activities
Teevan, J., Dumais, S. T., & Horvitz, E. (2005) · Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval · doi:10.1145/1076034.1076111 · Cited by 800
Exploratory Search: Beyond the Query-Response Paradigm
White, R. W., & Roth, R. A. (2009) · Synthesis lectures on information concepts, retrieval, and services · doi:10.2200/s00174ed1v01y200901icr003 · Cited by 632
How Much Information?: Effects of Transparency on Trust in an Algorithmic Interface
Kizilcec, R. F. (2016) · Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems · doi:10.1145/2858036.2858402 · Cited by 615
Satisfiers and dissatisfiers: A two-factor model for website design and evaluation
Zhang, P., & von Dran, G. M. (2000) · Journal of the American Society for Information Science · doi:10.1002/1097-4571(2000)9999:9999<::aid-asi1039>3.0.co;2-o · Cited by 488
The role of transparency in recommender systems
Sinha, R., & Swearingen, K. (2002) · CHI '02 Extended Abstracts on Human Factors in Computing Systems · doi:10.1145/506443.506619 · Cited by 477
Metadata
- Authors
- Koenemann, J., & Belkin, N. J.
- Venue
- Proceedings of the SIGCHI conference on Human factors in computing systems common ground - CHI '96
- Publisher
- ACM Press
- Published
- 1996
- Pages
- 205-212
- OpenAlex
- W1982451429
- Cited by
- 327
- References
- 9
- FWCI
- 11.59
- Type
- conference paper
- Language
- en
- Open access
- gold
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- Koenemann, J., & Belkin, N. J. (1996). A case for interaction: a study of interactive information retrieval behavior and effectiveness. Proceedings of the SIGCHI conference on Human factors in computing systems common ground - CHI '96. https://doi.org/10.1145/238386.238487
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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.
