Abigail Mosca

According to our database, Abigail Mosca authored at least 12 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

House Advantage or House of Cards? Stacking the Deck for Data Videos Leads to Null Results.

Jen Rogers, Leixian Shen, Abigail Mosca, Evan Peck, Mingwei Li, Anzu Hakone, Kristi Potter, Remco Chang

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025

2022

Impact of Cognitive Biases on Progressive Visualization.

Marianne Procopio, Abigail Mosca, Carlos Scheidegger, Eugene Wu, Remco Chang

Dataset, May, 2022

Impact of Cognitive Biases on Progressive Visualization.

Marianne Procopio, Abigail Mosca, Carlos Scheidegger, Eugene Wu, Remco Chang

IEEE Trans. Vis. Comput. Graph., 2022

A Grammar for Hypothesis-Driven Visual Analysis.

Ashley Suh, Yilan Jiang, Abigail Mosca, Eugene Wu, Remco Chang

CoRR, 2022

Inferential Tasks as an Evaluation Technique for Visualization.

Ashley Suh, Abigail Mosca, Shannon Robinson, Quinn Pham, Dylan Cashman, Alvitta Ottley, Remco Chang

Proceedings of the 24th Eurographics Conference on Visualization, 2022

2021

Does Interaction Improve Bayesian Reasoning with Visualization?

Abigail Mosca, Alvitta Ottley, Remco Chang

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2019

At a Glance: Pixel Approximate Entropy as a Measure of Line Chart Complexity.

Gabriel Ryan, Abigail Mosca, Remco Chang, Eugene Wu

IEEE Trans. Vis. Comput. Graph., 2019

RNNbow: Visualizing Learning via Backpropagation Gradients in Recurrent Neural Networks.

Dylan Cashman, Genevieve Patterson, Abigail Mosca, Nathan Watts, Shannon Robinson, Remco Chang

CoRR, 2019

A User-based Visual Analytics Workflow for Exploratory Model Analysis.

Dylan Cashman, Shah Rukh Humayoun, Florian Heimerl, Kendall Park, Subhajit Das, John Thompson, Bahador Saket, Abigail Mosca, John T. Stasko, Alex Endert, Michael Gleicher, Remco Chang

Comput. Graph. Forum, 2019

Defining an Analysis: A Study of Client-Facing Data Scientists.

Abigail Mosca, Shannon Robinson, Meredith Clarke, Rebecca Redelmeier, Sebastian Coates, Dylan Cashman, Remco Chang

Proceedings of the 21st Eurographics Conference on Visualization, 2019

2018

Visual Analytics for Automated Model Discovery.

Dylan Cashman, Shah Rukh Humayoun, Florian Heimerl, Kendall Park, Subhajit Das, John Thompson, Bahador Saket, Abigail Mosca, John T. Stasko, Alex Endert, Michael Gleicher, Remco Chang

CoRR, 2018

RNNbow: Visualizing Learning Via Backpropagation Gradients in RNNs.

Dylan Cashman, Genevieve Patterson, Abigail Mosca, Nathan Watts, Shannon Robinson, Remco Chang

IEEE Computer Graphics and Applications, 2018