Search Results - Human-centered computing Visualization Visualization techniques*

Quality Metrics for Information Visualization by Behrisch, M., Blumenschein, M., Kim, N. W., Shao, L., El‐Assady, M., Fuchs, J., Seebacher, D., Diehl, A., Brandes, U., Pfister, H., Schreck, T., Weiskopf, D., Keim, D. A.

“…The visualization community has developed to date many intuitions and understandings of how to judge the quality of views in visualizing data…”
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Matrix Reordering Methods for Table and Network Visualization by Behrisch, Michael, Bach, Benjamin, Henry Riche, Nathalie, Schreck, Tobias, Fekete, Jean-Daniel

“…This survey provides a description of algorithms to reorder visual matrices of tabular data and adjacency matrix of Networks. The goal of this survey is to…”
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Visualization of Eye Tracking Data: A Taxonomy and Survey by Blascheck, T., Kurzhals, K., Raschke, M., Burch, M., Weiskopf, D., Ertl, T.

“…This survey provides an introduction into eye tracking visualization with an overview of existing techniques…”
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The State of the Art in Sentiment Visualization by Kucher, Kostiantyn, Paradis, Carita, Kerren, Andreas

“…Visualization of sentiments and opinions extracted from or annotated in texts has become a prominent topic of research over the last decade…”
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Detangler: Visual Analytics for Multiplex Networks by Renoust, B., Melançon, G., Munzner, T.

“…A multiplex network has links of different types, allowing it to express many overlapping types of relationships. A core task in network analysis is to…”
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ParkView: Visualizing Monotone Interleavings by Beurskens, Thijs, Van Den Broek, Steven, Simons, Arjen, Sonke, Willem, Verbeek, Kevin, Ophelders, Tim, Hoffmann, Michael, Speckmann, Bettina

“…Merge trees are a powerful tool from topological data analysis that is frequently used to analyze scalar fields. The similarity between two merge trees can be…”
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Demonstrating PLUME, a toolbox to Record, Replay, Analyze and Share 6DoF XR Experimental Data by Javerliat, Charles, Villenave, Sophie, Raimbaud, Pierre, Lavoue, Guillaume

“…PLUME is an open-source software toolbox (PLUME Recorder, PLUME Viewer, PLUME Python) for recording, replaying, and analyzing behavioral and physiological data…”
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VisuaLint: Sketchy In Situ Annotations of Chart Construction Errors by Hopkins, Aspen K., Correll, Michael, Satyanarayan, Arvind

“…Chart construction errors, such as truncated axes or inexpressive visual encodings, can hinder reading a visualization, or worse, imply misleading facts about the underlying data…”
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Data to Physicalization: A Survey of the Physical Rendering Process by Djavaherpour, H., Samavati, F., Mahdavi‐Amiri, A., Yazdanbakhsh, F., Huron, S., Levy, R., Jansen, Y., Oehlberg, L.

“…Physical representations of data offer physical and spatial ways of looking at, navigating, and interacting with data. While digital fabrication has…”
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A Survey on Transit Map Layout – from Design, Machine, and Human Perspectives by Wu, Hsiang‐Yun, Niedermann, Benjamin, Takahashi, Shigeo, Roberts, Maxwell J., Nöllenburg, Martin

“…Transit maps are designed to present information for using public transportation systems, such as urban railways. Creating a transit map is a time‐consuming…”
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Mapping Mental Models of Uncertainty to Parallel Coordinates by Probabilistic Brushing by Borrelli, Gabriel, Ittermann, Till, Linsen, Lars

“…Through training and gathered experience, domain experts attain a mental model of the uncertainties inherent in the visual analytics processes for their…”
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Fluidly Revealing Information: A Survey of Un/foldable Data Visualizations by Bludau, M.‐J., Dörk, M., Bruckner, S., Tominski, C.

“…‐of‐the‐art report, we review and classify techniques that are inspired by the physical metaphor of un/folding to reveal relevant information or, conversely, to reduce irrelevant information in data visualizations. Similar to focus…”
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Towards Scaling‐Invariant Projections for Data Visualization by Dierkes, Joel, Stelter, Daniel, Rössl, Christian, Theisel, Holger

“… We propose to visually analyze the space of all scalings and to find optimal scalings w.r.t. the quality of the visualization…”
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HyperNP: Interactive Visual Exploration of Multidimensional Projection Hyperparameters by Appleby, G., Espadoto, M., Chen, R., Goree, S., Telea, A. C., Anderson, E. W., Chang, R.

“…Projection algorithms such as t‐SNE or UMAP are useful for the visualization of high dimensional data, but depend on hyperparameters which must be tuned carefully…”
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CUPID: Contextual Understanding of Prompt‐conditioned Image Distributions by Zhao, Y., Li, M., Berger, M.

“…We present CUPID: a visualization method for the contextual understanding of prompt…”
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Egocentric Network Exploration for Immersive Analytics by Sorger, J., Arleo, A., Kán, P., Knecht, W., Waldner, M.

“…To exploit the potential of immersive network analytics for engaging and effective exploration, we promote the metaphor of “Egocentrism”, where data depiction…”
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Exploring Classifiers with Differentiable Decision Boundary Maps by Machado, A., Behrisch, M., Telea, A.

“…Explaining Machine Learning (ML) — and especially Deep Learning (DL) — classifiers' decisions is a subject of interest across fields due to the increasing ubiquity of such models in computing systems…”
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Vessel Maps: A Survey of Map‐Like Visualizations of the Cardiovascular System by Eulzer, P., Meuschke, M., Mistelbauer, G., Lawonn, K.

“…Map‐like visualizations of patient‐specific cardiovascular structures have been applied in numerous medical application contexts. The term map…”
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CorpusVis: Visual Analysis of Digital Sheet Music Collections by Miller, Matthias, Rauscher, Julius, Keim, Daniel A., El‐Assady, Mennatallah

“…Manually investigating sheet music collections is challenging for music analysts due to the magnitude and complexity of underlying features, structures, and…”
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Unfolding Edges: Adding Context to Edges in Multivariate Graph Visualization by Bludau, M.‐J., Dörk, M., Tominski, C.

“… In this work, we focus on the critical importance of edge attributes for interpreting network visualizations and building trust in the underlying data. We propose ‘unfolding of edges…”
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