期刊
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
卷 23, 期 1, 页码 511-520出版社
IEEE COMPUTER SOC
DOI: 10.1109/TVCG.2016.2598876
关键词
Narrative visualization; storytelling; annotations; comic strip visualization; time-varying data
资金
- INGVA/LANL
- US National Science Foundation [DRL-1323214, IIS-1528203, IIS-1320229]
- U.S. Department of Energy [DE-FC02-12ER26072]
- Division Of Research On Learning
- Direct For Education and Human Resources [1323214] Funding Source: National Science Foundation
- Div Of Information & Intelligent Systems
- Direct For Computer & Info Scie & Enginr [1528203] Funding Source: National Science Foundation
Visualization is a powerful technique for analysis and communication of complex, multidimensional, and time-varying data. However, it can be difficult to manually synthesize a coherent narrative in a chart or graph due to the quantity of visualized attributes, a variety of salient features, and the awareness required to interpret points of interest (POs). We present Temporal Summary Images (TSIs) as an approach for both exploring this data and creating stories from it. As a visualization, a TSI is composed of three common components: (1) a temporal layout, (2) comic strip-style data snapshots, and (3) textual annotations. To augment user analysis and exploration, we have developed a number of interactive techniques that recommend relevant data features and design choices, including an automatic annotations workflow. As the analysis and visual design processes converge, the resultant image becomes appropriate for data storytelling. For validation, we use a prototype implementation for TSIs to conduct two case studies with large-scale, scientific simulation datasets.
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