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What storytelling can do for information visualization
Abstract
The article reports that visualisation allows to reveal information as accurately as if the viewer is watching a movie. A well-told story conveys great quantities of information in relatively few words in a format that is easily assimilated by the listener or viewer. Stories are just also more compelling. Images hold a considerable amount of information a viewer might grasp quickly. But images are prone to uncertainties and might require some clarification. Transforming the representation from text narrative to visual domain requires adding more information to the presentation. Information visualization is a process that transforms data, information, and knowledge into a form that relies on the human visual system. The user/viewer of the visualization needs to integrate the information streams, thoroughly understand them, and make decisions based on their information in a timely fashion. Information visualization combines aspects of imaging, graphics, scientific visualisation, and human computer and human-information interactions, as well as information technology. The flood of complex information moving into industrial and military command centers needs to be analyzed. In creating a better and more appealing representation, the designer who created visualizations in the figure tried to make the transition between disparate pieces of information appear more continuous. INSET: Discovering Visual Metaphors.
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Citations
Cited by
Narrative Visualization: Telling Stories with Data
Segel, E., & Heer, J. (2010) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2010.179 · Cited by 1,334
SketchStory: Telling More Engaging Stories with Data through Freeform Sketching
Lee, B., Kazi, R. H., & Smith, G. (2013) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2013.191 · Cited by 195
Storytelling on mobile devices for cultural heritage
Lombardo, V., & Damiano, R. (2012) · New Review of Hypermedia and Multimedia · doi:10.1080/13614568.2012.617846 · Cited by 134
Morais, C. (2015) · Journal of Chemical Education · doi:10.1021/ed5002416 · Cited by 65
Shao, H., Martinez-Maldonado, R., Echeverria, V., Yan, L., & Gasevic, D. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3643022 · Cited by 45
When Prototyping Meets Storytelling: Practices and Malpractices in Innovating Software Firms
Ciriello, R. F., Richter, A., & Schwabe, G. (2017) · 2017 IEEE/ACM 39th International Conference on Software Engineering: Software Engineering in Practice Track (ICSE-SEIP) · doi:10.1109/icse-seip.2017.24 · Cited by 26
Socrates: Data Story Generation via Adaptive Machine-Guided Elicitation of User Feedback
Wu, G., Guo, S., Hoffswell, J., Chan, G. Y.-Y., Rossi, R. A., & Koh, E. (2023) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2023.3327363 · Cited by 15
Lee, C., Lin, T., Pfister, H., & Zhu-Tian, C. (2025) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2024.3456332 · Cited by 7
Metadata
- Authors
- Gershon, N., & Page, W.
- Venue
- Communications of the ACM
- Published
- 2001-08
- Volume
- 44
- Issue
- 8
- Pages
- 31-37
- ISSN
- 0001-0782 (ISSN-L)
- 1557-7317
- OpenAlex
- W2112468969
- Cited by
- 334
- References
- 0
- FWCI
- 10.17
- Type
- journal article
- Language
- en
- Open access
- closed
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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.