Toward flexible visual analytics augmented through smooth display transitions
Toward flexible visual analytics augmented through smooth display transitions
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DOI：
10.1016/j.visinf.2021.06.004
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发表时间：
2021-06
期刊：
影响因子：
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通讯作者：
C. Tominski;G. Andrienko;N. Andrienko;S. Bleisch;S. Fabrikant;E. Mayr;S. Miksch;M. Pohl;A. Skupin
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文献类型：
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作者：
C. Tominski;G. Andrienko;N. Andrienko;S. Bleisch;S. Fabrikant;E. Mayr;S. Miksch;M. Pohl;A. Skupin
可视化庞大而复杂的多变量数据是一项挑战。为了应对这一挑战，我们提出了灵活的视觉分析（FVA），旨在减轻视觉分析中的视觉复杂性和交互复杂性挑战，同时保持对所研究数据的多个视角的优势。我们提出的方法的核心是在用户相关视图之间流畅地转换数据，以提供对数据的各种观点和见解。虽然已经提出了平滑的显示过渡，但还没有跨学科的讨论来系统地概念化和形式化这些想法。作为进一步行动的呼吁，我们认为，未来的研究是必要的，以开发一个灵活的视觉分析的概念框架。我们讨论了优先考虑多方面的视觉表示和它们之间的多方面的过渡的初步想法，并考虑显示用户，这样的广告制作，并提供视觉分析。通过这一贡献，我们的目标是进一步促进复杂数据集的可视化分析，以根据不同的用户特征和数据使用上下文执行不同的数据探索任务和目的。
Visualizing big and complex multivariate data is challenging. To address this challenge, we proposeflexible 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.