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20172022
most citedDoes Interaction Improve Bayesian Reasoning with Visualization?

14 citations · 40 across the 13 of their papers we have counts for

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cs.HC2022

Analysis Without Data: Teaching Students to Tackle the VAST Challenge

Edward W He, Daniel Tolessa, Ashley Suh +1

The VAST Challenges have been shown to be an effective tool in visual analytics education, encouraging student learning while enforcing good visualization design and development pr…

cs.HC20221 cited

PIXAL: Anomaly Reasoning with Visual Analytics

Brian Montambault, Camelia D. Brumar, Michael Behrisch +1

Anomaly detection remains an open challenge in many application areas. While there are a number of available machine learning algorithms for detecting anomalies, analysts are frequ…

cs.HC2022

Inferential Tasks as an Evaluation Technique for Visualization

Ashley Suh, Ab Mosca, Shannon Robinson +4

Designing suitable tasks for visualization evaluation remains challenging. Traditional evaluation techniques commonly rely on 'low-level' or 'open-ended' tasks to assess the effica…

cs.HC2021

UnProjection: Leveraging Inverse-Projections for Visual Analytics of High-Dimensional Data

Mateus Espadoto, Gabriel Appleby, Ashley Suh +6

Projection techniques are often used to visualize high-dimensional data, allowing users to better understand the overall structure of multi-dimensional spaces on a 2D screen. Altho…

cs.HC2021

Automatic Y-axis Rescaling in Dynamic Visualizations

Jacob Fisher, Remco Chang, Eugene Wu

Animated and interactive data visualizations dynamically change the data rendered in a visualization (e.g., bar chart). As the data changes, the y-axis may need to be rescaled as t…

cs.HC202114 cited

Does Interaction Improve Bayesian Reasoning with Visualization?

Ab Mosca, Alvitta Ottley, Remco Chang

Interaction enables users to navigate large amounts of data effectively, supports cognitive processing, and increases data representation methods. However, there have been few atte…