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

“… From basic pie and bar charts used to illustrate customer reviews to extensive visual analytics systems involving novel representations, sentiment visualization techniques have evolved to deal…”
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Detangler: Visual Analytics for Multiplex Networks by Renoust, B., Melançon, G., Munzner, T.

“… We contribute two novel techniques that allow the user to analyze the complex structure of the multiplex network without the extreme visual clutter that would result from simply showing it directly…”
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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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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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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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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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Are LLMs ready for Visualization? by Vazquez, Pere-Pau

“… Visualization practitioners and researchers have wondered to what end one of such systems could accomplish our work in a more efficient way…”
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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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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

“… To improve this, scientists investigate fully‐ or semi‐automatic techniques in order to produce high quality transit maps using computers and further examine their corresponding usability…”
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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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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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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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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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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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VisCoMET: Visually Analyzing Team Collaboration in Medical Emergency Trainings by Liebers, C., Agarwal, S., Krug, M., Pitsch, K., Beck, F.

“…Handling emergencies requires efficient and effective collaboration of medical professionals. To analyze their performance, in an application study, we have…”
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Visual Parameter Selection for Spatial Blind Source Separation by Piccolotto, N., Bögl, M., Muehlmann, C., Nordhausen, K., Filzmoser, P., Miksch, S.

“…Analysis of spatial multivariate data, i.e., measurements at irregularly‐spaced locations, is a challenging topic in visualization and statistics alike…”
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