38 citations · 165 across the 25 of their papers we have counts for
18 papers · 1 filter
Knowledge Graphs in Practice: Characterizing their Users, Challenges, and Visualization Opportunities
Harry Li, Gabriel Appleby, Camelia Daniela Brumar +2
This study presents insights from interviews with nineteen Knowledge Graph (KG) practitioners who work in both enterprise and academic settings on a wide variety of use cases. Thro…
A Problem Space for Designing Visualizations
Michael Gleicher, Maria Riveiro, Tatiana von Landesberger +3
Visualization researchers and visualization professionals seek appropriate abstractions of visualization requirements that permit considering visualization solutions independently…
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…
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…
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…
Are Metrics Enough? Guidelines for Communicating and Visualizing Predictive Models to Subject Matter Experts
Ashley Suh, Gabriel Appleby, Erik W. Anderson +3
Presenting a predictive model's performance is a communication bottleneck that threatens collaborations between data scientists and subject matter experts. Accuracy and error metri…
A Grammar of Hypotheses for Visualization, Data, and Analysis
Ashley Suh, Ab Mosca, Eugene Wu +1
We present a grammar for expressing hypotheses in visual data analysis to formalize the previously abstract notion of "analysis tasks." Through the lens of our grammar, we lay the…
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…
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…
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…
Composition and Configuration Patterns in Multiple-View Visualizations
Xi Chen, Wei Zeng, Yanna Lin +3
Multiple-view visualization (MV) is a layout design technique often employed to help users see a large number of data attributes and values in a single cohesive representation. Bec…
Ablate, Variate, and Contemplate: Visual Analytics for Discovering Neural Architectures
Dylan Cashman, Adam Perer, Remco Chang +1
Deep learning models require the configuration of many layers and parameters in order to get good results. However, there are currently few systematic guidelines for how to configu…
Programming with Timespans in Interactive Visualizations
Yifan Wu, Remco Chang, Eugene Wu +1
Modern interactive visualizations are akin to distributed systems, where user interactions, background data processing, remote requests, and streaming data read and modify the inte…
Kyrix: Interactive Visual Data Exploration at Scale
Wenbo Tao, Xiaoyu Liu, Çağatay Demiralp +2
Scalable interactive visual data exploration is crucial in many domains due to increasingly large datasets generated at rapid rates. Details-on-demand provides a useful interaction…
At a Glance: Pixel Approximate Entropy as a Measure of Line Chart Complexity
Gabriel Ryan, Abigail Mosca, Remco Chang +1
When inspecting information visualizations under time critical settings, such as emergency response or monitoring the heart rate in a surgery room, the user only has a small amount…
A User-based Visual Analytics Workflow for Exploratory Model Analysis
Dylan Cashman, Shah Rukh Humayoun, Florian Heimerl +9
Many visual analytics systems allow users to interact with machine learning models towards the goals of data exploration and insight generation on a given dataset. However, in some…
Facilitating Exploration with Interaction Snapshots under High Latency
Yifan Wu, Remco Chang, Joseph M. Hellerstein +1
Latency is, unfortunately, a reality when working with large datasets. Guaranteeing imperceptible latency for interactivity is often prohibitively expensive: the application develo…
Beagle: Automated Extraction and Interpretation of Visualizations from the Web
Leilani Battle, Peitong Duan, Zachery Miranda +3
"How common is interactive visualization on the web?" "What is the most popular visualization design?" "How prevalent are pie charts really?" These questions intimate the role of i…