The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Low-Level Components of Analytic Activity in Information Visualization
Abstract
Existing system level taxonomies of visualization tasks are geared more towards the design of particular representations than the facilitation of user analytic activity. We present a set of ten low level analysis tasks that largely capture people's activities while employing information visualization tools for understanding data. To help develop these tasks, we collected nearly 200 sample questions from students about how they would analyze five particular data sets from different domains. The questions, while not being totally comprehensive, illustrated the sheer variety of analytic questions typically posed by users when employing information visualization systems. We hope that the presented set of tasks is useful for information visualization system designers as a kind of common substrate to discuss the relative analytic capabilities of the systems. Further, the tasks may provide a form of checklist for system designers.
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
David, F. N., & Tukey, J. W. (1977) · Biometrics · doi:10.2307/2529486 · Cited by 12,708
The eyes have it: a task by data type taxonomy for information visualizations
Shneiderman, B. (2002) · Proceedings 1996 IEEE Symposium on Visual Languages · doi:10.1109/vl.1996.545307 · Cited by 4,535
(2013) · Choice Reviews Online · doi:10.5860/choice.50-3307 · Cited by 1,352
Graphics and Graphic Information Processing
Bertin, J. (1981) · De Gruyter eBooks · doi:10.1515/9783110854688 · Cited by 701
A taxonomy of visualization techniques using the data state reference model
Chi, E. H. (2002) · IEEE Symposium on Information Visualization 2000. INFOVIS 2000. Proceedings · doi:10.1109/infvis.2000.885092 · Cited by 466
Visual task characterization for automated visual discourse synthesis
Zhou, M. X., & Feiner, S. K. (1998) · Proceedings of the SIGCHI conference on Human factors in computing systems - CHI '98 · doi:10.1145/274644.274698 · Cited by 207
Data characterization for intelligent graphics presentation
Roth, S. F., & Mattis, J. (1990) · Proceedings of the SIGCHI conference on Human factors in computing systems Empowering people - CHI '90 · doi:10.1145/97243.97273 · Cited by 201
An operator interaction framework for visualization systems
Chi, E. H.-H., & Riedl, J. T. (2002) · Proceedings IEEE Symposium on Information Visualization (Cat. No.98TB100258) · doi:10.1109/infvis.1998.729560 · Cited by 192
Knowledge Precepts for Design and Evaluation of Information Visualizations
Amar, R., & Stasko, J. (2005) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2005.63 · Cited by 147
Self-citationAn Evaluation of Microarray Visualization Tools for Biological Insight
Saraiya, P., North, C. L., & Duca, K. (2005) · IEEE Symposium on Information Visualization · doi:10.1109/infvis.2004.5 · Cited by 113
Cited by
Toward measuring visualization insight
North, C. (2006) · IEEE Computer Graphics and Applications · doi:10.1109/mcg.2006.70 · Cited by 456
How Information Visualization Novices Construct Visualizations
Grammel, L., Tory, M., & Storey, M. (2010) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2010.164 · Cited by 264
Task-based effectiveness of basic visualizations
Saket, B., Endert, A., & Demiralp, C. (2019) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2018.2829750 · Cited by 178
Accessible Visualization via Natural Language Descriptions: A Four-Level Model of Semantic Content
Lundgard, A., & Satyanarayan, A. (2022) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2021.3114770 · Cited by 155
Steichen, B., Carenini, G., & Conati, C. (2013) · Proceedings of the 2013 international conference on Intelligent user interfaces · doi:10.1145/2449396.2449439 · Cited by 146
Metadata
- Authors
- Amar, R., Eagan, J., & Stasko, J.
- Venue
- Proceedings of the 2005 IEEE Symposium on Information Visualization (INFOVIS'05)
- Publisher
- IEEE
- Published
- 2006-01-25
- Pages
- 15-15
- OpenAlex
- W1512287614
- Cited by
- 512
- References
- 12
- FWCI
- 13.57
- Type
- conference paper
- 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 ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Low-Level Components of Analytic Activity in Information Visualization. https://app.cochat.ai/papers/10.1109/infovis.2005.24
- The paper
- Amar, R., Eagan, J., & Stasko, J. (2006). Low-Level Components of Analytic Activity in Information Visualization. Proceedings of the 2005 IEEE Symposium on Information Visualization (INFOVIS'05). https://doi.org/10.1109/infovis.2005.24
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.
