The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Scatter/gather browsing communicates the topic structure of a very large text collection
Open accessAbstract
Scatter/Gather is a cluster-based browsing technique for large text collections.Users are presented with automatically computed summaries of the contents of clusters of similar documents and provided with a method for navigating through these summaries at different levels of granularity.The aim of the technique is to communicate information about the topic structure of very large collections.We tested the effectiveness of Scatter/Gather as a simple pure document retrieval tool, and studied its effects on the incidental learning of topic structure.When compared to interactions involving simple keyword-based search, the results suggest that Scatter/Gather induces a more coherent conceptual image of a text collection, a richer vocabulary for constructing search queries, and communicates the distribution of relevant documents over clusters of documents in the collection.
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Cites
Information foraging in information access environments
Pirolli, P., & Card, S. (1995) · Proceedings of the SIGCHI conference on Human factors in computing systems - CHI '95 · doi:10.1145/223904.223911 · Cited by 464
Self-citation
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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
The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations
Shneiderman, B. (2003) · The Craft of Information Visualization · doi:10.1016/b978-155860915-0/50046-9 · Cited by 515
The structure of the information visualization design space
Card, S. K., & Mackinlay, J. (2002) · Proceedings of VIZ '97: Visualization Conference, Information Visualization Symposium and Parallel Rendering Symposium · doi:10.1109/infvis.1997.636792 · Cited by 347
Improving browsing in digital libraries with keyphrase indexes
Gutwin, C., Paynter, G., Witten, I., Nevill-Manning, C., & Frank, E. (1999) · Decision Support Systems · doi:10.1016/s0167-9236(99)00038-x · Cited by 262
Metadata
- Authors
- Pirolli, P., Schank, P., Hearst, M., & Diehl, C.
- Venue
- Proceedings of the SIGCHI conference on Human factors in computing systems common ground - CHI '96
- Publisher
- ACM Press
- Published
- 1996
- Pages
- 213-220
- OpenAlex
- W2154701989
- Cited by
- 194
- References
- 1
- FWCI
- 12.68
- Type
- conference paper
- Language
- en
- Open access
- gold
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- CoChat. (2026). Citation check: Scatter/gather browsing communicates the topic structure of a very large text collection. https://app.cochat.ai/papers/10.1145/238386.238489
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- Pirolli, P., Schank, P., Hearst, M., & Diehl, C. (1996). Scatter/gather browsing communicates the topic structure of a very large text collection. Proceedings of the SIGCHI conference on Human factors in computing systems common ground - CHI '96. https://doi.org/10.1145/238386.238489
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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.
