Jessica Hullman

Orcid: 0000-0001-6826-3550

Affiliations:
  • Northwestern University, Evanston, IL, USA
  • University of Washington, Seattle, WA, USA (former)


According to our database1, Jessica Hullman authored at least 82 papers between 2011 and 2025.

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Bibliography

2025
VMC: A Grammar for Visualizing Statistical Model Checks.
IEEE Trans. Vis. Comput. Graph., January, 2025

2024
Swaying the Public? Impacts of Election Forecast Visualizations on Emotion, Trust, and Intention in the 2022 U.S. Midterms.
IEEE Trans. Vis. Comput. Graph., January, 2024

The Rational Agent Benchmark for Data Visualization.
IEEE Trans. Vis. Comput. Graph., January, 2024

Are We Closing the Loop Yet? Gaps in the Generalizability of VIS4ML Research.
IEEE Trans. Vis. Comput. Graph., January, 2024

Dupo: A Mixed-Initiative Authoring Tool for Responsive Visualization.
IEEE Trans. Vis. Comput. Graph., January, 2024

EVM: Incorporating Model Checking into Exploratory Visual Analysis.
IEEE Trans. Vis. Comput. Graph., January, 2024

Designing Shared Information Displays for Agents of Varying Strategic Sophistication.
Proc. ACM Hum. Comput. Interact., 2024

Measuring Free-Form Decision-Making Inconsistency of Language Models in Military Crisis Simulations.
CoRR, 2024

What to Consider When Considering Differential Privacy for Policy.
CoRR, 2024

Automating the Practice of Science - Opportunities, Challenges, and Implications.
CoRR, 2024

A Conceptual Framework for Ethical Evaluation of Machine Learning Systems.
CoRR, 2024

How to Distinguish AI-Generated Images from Authentic Photographs.
CoRR, 2024

A Statistical Framework for Measuring AI Reliance.
CoRR, 2024

Decision Theoretic Foundations for Experiments Evaluating Human Decisions.
CoRR, 2024

Measure-Observe-Remeasure: An Interactive Paradigm for Differentially-Private Exploratory Analysis.
Proceedings of the IEEE Symposium on Security and Privacy, 2024

A Decision Theoretic Framework for Measuring AI Reliance.
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

Evaluating the Utility of Conformal Prediction Sets for AI-Advised Image Labeling.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

Milliways: Taming Multiverses through Principled Evaluation of Data Analysis Paths.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

Erie: A Declarative Grammar for Data Sonification.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

Trust and Reliance in Evolving Human-AI Workflows (TREW).
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

2023
What's Driving Conflicts Around Differential Privacy for the U.S. Census.
IEEE Secur. Priv., 2023

Pre-registration for Predictive Modeling.
CoRR, 2023

Artificial Intelligence and Aesthetic Judgment.
CoRR, 2023

REFORMS: Reporting Standards for Machine Learning Based Science.
CoRR, 2023

multiverse: Multiplexing Alternative Data Analyses in R Notebooks.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

MetaExplorer : Facilitating Reasoning with Epistemic Uncertainty in Meta-analysis.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Workshop on Trust and Reliance in AI-Human Teams (TRAIT).
Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022
Visualizing Uncertainty in Probabilistic Graphs with Network Hypothetical Outcome Plots (NetHOPs).
IEEE Trans. Vis. Comput. Graph., 2022

An Automated Approach to Reasoning About Task-Oriented Insights in Responsive Visualization.
IEEE Trans. Vis. Comput. Graph., 2022

Visualization Equilibrium.
IEEE Trans. Vis. Comput. Graph., 2022

Causal Support: Modeling Causal Inferences with Visualizations.
IEEE Trans. Vis. Comput. Graph., 2022

Visualizing Privacy-Utility Trade-Offs in Differentially Private Data Releases.
Proc. Priv. Enhancing Technol., 2022

Cicero: A Declarative Grammar for Responsive Visualization.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

Examining Responsibility and Deliberation in AI Impact Statements and Ethics Reviews.
Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

The Worst of Both Worlds: A Comparative Analysis of Errors in Learning from Data in Psychology and Machine Learning.
Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

2021
Bayesian-Assisted Inference from Visualized Data.
IEEE Trans. Vis. Comput. Graph., 2021

Visual Reasoning Strategies for Effect Size Judgments and Decisions.
IEEE Trans. Vis. Comput. Graph., 2021

A Survey of Domain Knowledge Elicitation in Applied Machine Learning.
Multimodal Technol. Interact., 2021

To design interfaces for exploratory data analysis, we need theories of graphical inference.
CoRR, 2021

Design Patterns and Trade-Offs in Responsive Visualization for Communication.
Comput. Graph. Forum, 2021

Unpacking the Expressed Consequences of AI Research in Broader Impact Statements.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020
Illusion of Causality in Visualized Data.
IEEE Trans. Vis. Comput. Graph., 2020

Why Authors Don't Visualize Uncertainty.
IEEE Trans. Vis. Comput. Graph., 2020

Human Factors in Model Interpretability: Industry Practices, Challenges, and Needs.
Proc. ACM Hum. Comput. Interact., 2020

Anticipatory Ethics and the Role of Uncertainty.
CoRR, 2020

Visual Reasoning Strategies and Satisficing: How Uncertainty Visualization Design Impacts Effect Size Judgments and Decisions.
CoRR, 2020

Exploring the Effects of Aggregation Choices on Untrained Visualization Users' Generalizations From Data.
Comput. Graph. Forum, 2020

Challenges in Evaluating Interactive Visual Machine Learning Systems.
IEEE Computer Graphics and Applications, 2020

How Visualizing Inferential Uncertainty Can Mislead Readers About Treatment Effects in Scientific Results.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019
Hypothetical Outcome Plots Help Untrained Observers Judge Trends in Ambiguous Data.
IEEE Trans. Vis. Comput. Graph., 2019

In Pursuit of Error: A Survey of Uncertainty Visualization Evaluation.
IEEE Trans. Vis. Comput. Graph., 2019

Inking Your Insights: Investigating Digital Externalization Behaviors During Data Analysis.
Proceedings of the 2019 ACM International Conference on Interactive Surfaces and Spaces, 2019

Some Prior(s) Experience Necessary: Templates for Getting Started With Bayesian Analysis.
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

A Bayesian Cognition Approach to Improve Data Visualization.
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

Vocal Shortcuts for Creative Experts.
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

Decision-Making Under Uncertainty in Research Synthesis: Designing for the Garden of Forking Paths.
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

HCI for Accurate, Impartial and Transparent Journalism: Challenges and Solutions.
Proceedings of the Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2018
Keeping Multiple Views Consistent: Constraints, Validations, and Exceptions in Visualization Authoring.
IEEE Trans. Vis. Comput. Graph., 2018

Data Through Others' Eyes: The Impact of Visualizing Others' Expectations on Visualization Interpretation.
IEEE Trans. Vis. Comput. Graph., 2018

Imagining Replications: Graphical Prediction & Discrete Visualizations Improve Recall & Estimation of Effect Uncertainty.
IEEE Trans. Vis. Comput. Graph., 2018

Picturing Science: Design Patterns in Graphical Abstracts.
Proceedings of the Diagrammatic Representation and Inference, 2018

Data Visualization as a Domain to Research Areas in Cognitive Science.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Improving Comprehension of Measurements Using Concrete Re-expression Strategies.
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

Uncertainty Displays Using Quantile Dotplots or CDFs Improve Transit Decision-Making.
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

2017
Leveraging Citation Networks to Visualize Scholarly Influence Over Time.
Frontiers Res. Metrics Anal., 2017

Finding a Clear Path: Structuring Strategies for Visualization Sequences.
Comput. Graph. Forum, 2017

GraphScape: A Model for Automated Reasoning about Visualization Similarity and Sequencing.
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

Explaining the Gap: Visualizing One's Predictions Improves Recall and Comprehension of Data.
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

Designing for Uncertainty in HCI: When Does Uncertainty Help?
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

PersaLog: Personalization of News Article Content.
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

2016
SimpleScience: Lexical Simplification of Scientific Terminology.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Generating Personalized Spatial Analogies for Distances and Areas.
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

When (ish) is My Bus?: User-centered Visualizations of Uncertainty in Everyday, Mobile Predictive Systems.
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

Evaluating Visualization Sets: Trade-offs Between Local Effectiveness and Global Consistency.
Proceedings of the Sixth Workshop on Beyond Time and Errors on Novel Evaluation Methods for Visualization, 2016

Why Evaluating Uncertainty Visualization is Error Prone.
Proceedings of the Sixth Workshop on Beyond Time and Errors on Novel Evaluation Methods for Visualization, 2016

2015
Content, Context, and Critique: Commenting on a Data Visualization Blog.
Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing, 2015

2014
NewsViews: an automated pipeline for creating custom geovisualizations for news.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014

2013
A Deeper Understanding of Sequence in Narrative Visualization.
IEEE Trans. Vis. Comput. Graph., 2013

Contextifier: automatic generation of annotated stock visualizations.
Proceedings of the 2013 ACM SIGCHI Conference on Human Factors in Computing Systems, 2013

2011
Visualization Rhetoric: Framing Effects in Narrative Visualization.
IEEE Trans. Vis. Comput. Graph., 2011

Benefitting InfoVis with Visual Difficulties.
IEEE Trans. Vis. Comput. Graph., 2011

The impact of social information on visual judgments.
Proceedings of the International Conference on Human Factors in Computing Systems, 2011


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