[Zurück]

C. Tominski, G. Andrienko, N. Andrienko, S. Bleisch, S. Fabrikant, E. Mayr, S. Miksch, M. Pohl, A. Skupin:
"Toward Flexible Visual Analytics Augmented through Smooth Display Transitions";
Visual Informatics, 5 (2021), 3; S. 28 - 38.

.

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.

Viusal Analytics, Visualization, Time, Space

http://dx.doi.org/10.1016/j.visinf.2021.06.004

https://publik.tuwien.ac.at/files/publik_302427.pdf