Toward flexible visual analytics augmented through smooth display transitions
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Author (Corporation)
Publication date
2021
Typ of student thesis
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Collections
Type
01A - Journal article
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Supervisor
Parent work
Visual Informatics
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DOI of the original publication
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Series
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Volume
5
Issue / Number
3
Pages / Duration
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Publisher / Publishing institution
Elsevier
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Abstract
Visualizing big and complex multivariate data is challenging. To address this challenge, we propose flexible visual analytics (FVA) with the aim to mitigate visual complexity and interaction complexity challenges in visual analytics, while maintaining the strengths of multiple perspectives on the studied data. At the heart of our proposed approach are transitions that fluidly transform data between user-relevant views to offer various perspectives and insights into the data. While smooth display transitions have been already proposed, there has not yet been an interdisciplinary discussion to systematically conceptualize and formalize these ideas. As a call to further action, we argue that future research is necessary to develop a conceptual framework for flexible visual analytics. We discuss preliminary ideas for prioritizing multi-aspect visual representations and multi-aspect transitions between them, and consider the display user for whom such depictions are produced and made available for visual analytics. With this contribution we aim to further facilitate visual analytics on complex data sets for varying data exploration tasks and purposes based on different user characteristics and data use contexts.
Keywords
Visual analytics, Animated transitions, Multi-faceted data
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Event
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ISBN
ISSN
2468-502X
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
Review
Peer review of the complete publication
Open access category
Gold
Citation
Tominski, C., Andrienko, G., Andrienko, N., Bleisch, S., Fabrikant, S. I., Mayr, E., Miksch, S., Pohl, M., & Skupin, A. (2021). Toward flexible visual analytics augmented through smooth display transitions. Visual Informatics, 5(3). https://doi.org/10.1016/j.visinf.2021.06.004