Interaction Techniques for Chord Diagrams

Rees, Dylan; Laramee, Robert S.; Brookes, Paul S.; D'Cruze, Tony

doi:10.1109/iv51561.2020.00015

Cited by 8 publications

(2 citation statements)

References 41 publications

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“…Two immersive visualization analysis platforms: ImAxes 19 and Scat-terPlotCube, 20 to analyze interactions on brush, sort, and zoom and pan interactions. And two desktop visualization systems: Transfer Chord 21 and ChartAccent. 22 The former is used to analyze relational data, we used to analyze the merge and split interactions.…”

Section: D Visualization Interactive Analysismentioning

confidence: 99%

Functional narrative animation as visual feedback for interactions in 3D visualization

Zhu

2022

Computer Animation & Virtual

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Visual feedback can help users understand the function, state, and outcome of a system during the pre-, mid-, and post-interaction phases. Current visual feedback in 3D visualization scenarios takes less account of information transfer in terms of appearance design and dynamic behavior, which results in visual feedback being presented in a more engineered form and conveying simple information. For these issues, we proposed the concept and method of functional narrative animation as visual feedback for interactions in 3D visualization. We also provided a set of Unity-based animation library and a plugin tool for configuring the animations. Finally, through user experiments and interviews, we analyzed the role of functional narrative animation as in the interactive visual feedback for 3D visualizations and make corresponding design recommendations.

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Section: D Visualization Interactive Analysismentioning

confidence: 99%

Functional narrative animation as visual feedback for interactions in 3D visualization

Zhu

2022

Computer Animation & Virtual

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“…Chord diagrams have been used in a number of previous works for the analysis of hierarchical data coupled with focus+context-like approaches. Rees et al [42] propose a technique for the interaction with large chord diagrams, proposing brushing and deformed chord diagrams acting as focus views. Bae and Lee [43] combine chord diagrams with magnifying lens-like focus views for the analysis of the relation of tags.…”

Section: Linearization Of Spatial Datamentioning

confidence: 99%

Interactive Focus+Context Rendering for Hexahedral Mesh Inspection

Neuhauser

Wang

Westermann

2021

IEEE Trans. Visual. Comput. Graphics

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Visualizing spatial structures in 3D ensembles is challenging due to the vast amounts of information that need to be conveyed. Memory and time constraints make it unfeasible to pre-compute and store the correlations between all pairs of domain points. We propose the embedding of adaptive correlation sampling into chord diagrams with hierarchical edge bundling to alleviate these constraints. Entities representing spatial regions are arranged along the circular chord layout via a space-filling curve, and Bayesian optimal sampling is used to efficiently estimate the maximum occurring correlation between any two points from different regions. Hierarchical edge bundling reduces visual clutter and emphasizes the major correlation structures. By selecting an edge, the user triggers a focus diagram in which only the two regions connected via this edge are refined and arranged in a specific way in a second chord layout. For visualizing correlations between two different variables, which are not symmetric anymore, we switch to showing a full correlation matrix. This avoids drawing the same edges twice with different correlation values. We introduce GPU implementations of both linear and non-linear correlation measures to further reduce the time that is required to generate the context and focus views, and to even enable the analysis of correlations in a 1000-member ensemble.

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