Jessica Hullman

122 papers A* 25A 1B 1C 3Misc 1Journal 82Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ComplLLM: Fine-tuning LLMs to Discover Complementary Signals for Decision-making. CoRR Ziyang Guo, Yifan Wu, Jason D. Hartline, Kenneth Holstein, Jessica Hullman
2026	J	`jnl`	This human study did not involve human subjects: Validating LLM simulations as behavioral evidence. CoRR Jessica Hullman, David Broska, Huaman Sun, Aaron Shaw
2025	J	`jnl`	Behavioral Study of Dashboard Mechanisms. CoRR Paula Kayongo, Jessica Hullman, Jason D. Hartline
2025	J	`jnl`	Bridging Prediction and Intervention Problems in Social Systems. CoRR Lydia T. Liu, Inioluwa Deborah Raji, Angela Zhou, Luke Guerdan, Jessica Hullman, Daniel Malinsky, Bryan Wilder, Simone Zhang, Hammaad Adam, Amanda Coston, Benjamin Laufer, Ezinne Nwankwo, Michael Zanger-Tishler, Eli Ben-Michael, Solon Barocas, Avi Feller, Marissa Gerchick, Talia Gillis, Shion Guha, Daniel E. Ho, Lily Hu, Kosuke Imai, Sayash Kapoor, Joshua Loftus, Razieh Nabi, Arvind Narayanan, Ben Recht, Juan Carlos Perdomo, Matthew J. Salganik, Mark P. Sendak, Alexander Tolbert, Berk Ustun, Suresh Venkatasubramanian, Angelina Wang, Ashia Wilson
2025	A*	`conf`	Characterizing Photorealism and Artifacts in Diffusion Model-Generated Images. CHI Negar Kamali, Karyn Nakamura, Aakriti Kumar, Angelos Chatzimparmpas, Jessica Hullman, Matthew Groh
2025	J	`jnl`	Characterizing Photorealism and Artifacts in Diffusion Model-Generated Images. CoRR Negar Kamali, Karyn Nakamura, Aakriti Kumar, Angelos Chatzimparmpas, Jessica Hullman, Matthew Groh
2025	J	`jnl`	Conformal Prediction and Human Decision Making. CoRR Jessica Hullman, Yifan Wu, Dawei Xie, Ziyang Guo, Andrew Gelman
2025	A*	`conf`	Decision Theoretic Foundations for Experiments Evaluating Human Decisions. CHI Jessica Hullman, Alex Kale, Jason D. Hartline
2025	J	`jnl`	Explanations are a means to an end. CoRR Jessica Hullman, Ziyang Guo, Berk Ustun
2025	J	`jnl`	How AI Responses Shape User Beliefs: The Effects of Information Detail and Confidence on Belief Strength and Stance. CoRR Zekun Wu, Mayank Jobanputra, Vera Demberg, Jessica Hullman, Anna Maria Feit
2025	A*	`conf`	Seeing Eye to AI? Applying Deep-Feature-Based Similarity Metrics to Information Visualization. CHI Sheng Long, Angelos Chatzimparmpas, Emma Alexander, Matthew Kay, Jessica Hullman
2025	J	`jnl`	Seeing Eye to AI? Applying Deep-Feature-Based Similarity Metrics to Information Visualization. CoRR Sheng Long, Angelos Chatzimparmpas, Emma Alexander, Matthew Kay, Jessica Hullman
2025	J	`jnl`	The Value of Information in Human-AI Decision-making. CoRR Ziyang Guo, Yifan Wu, Jason D. Hartline, Jessica Hullman
2025	J	`jnl`	VMC: A Grammar for Visualizing Statistical Model Checks. IEEE Trans. Vis. Comput. Graph. Ziyang Guo, Alex Kale, Matthew Kay, Jessica Hullman
2024	J	`jnl`	A Computational Method for Measuring "Open Codes" in Qualitative Analysis. CoRR John Chen, Alexandros Lotsos, Lexie Zhao, Caiyi Wang, Jessica Hullman, Bruce Sherin, Uri Wilensky, Michael S. Horn
2024	—	`conf`	A Conceptual Framework for Ethical Evaluation of Machine Learning Systems. AIES (1) Neha R. Gupta, Jessica Hullman, Hariharan Subramonyam
2024	J	`jnl`	A Conceptual Framework for Ethical Evaluation of Machine Learning Systems. CoRR Neha R. Gupta, Jessica Hullman, Hari Subramonyam
2024	—	`conf`	A Decision Theoretic Framework for Measuring AI Reliance. FAccT Ziyang Guo, Yifan Wu, Jason D. Hartline, Jessica Hullman
2024	J	`jnl`	A Statistical Framework for Measuring AI Reliance. CoRR Ziyang Guo, Yifan Wu, Jason D. Hartline, Jessica Hullman
2024	J	`jnl`	Are We Closing the Loop Yet? Gaps in the Generalizability of VIS4ML Research. IEEE Trans. Vis. Comput. Graph. Hariharan Subramonyam, Jessica Hullman
2024	J	`jnl`	Automating the Practice of Science - Opportunities, Challenges, and Implications. CoRR Sebastian Musslick, Laura Bartlett, Suyog H. Chandramouli, Marina Dubova, Fernand Gobet, Thomas L. Griffiths, Jessica Hullman, Ross D. King, J. Nathan Kutz, Christopher G. Lucas, Suhas Mahesh, Franco Pestilli, Sabina J. Sloman, William R. Holmes
2024	J	`jnl`	Decision Theoretic Foundations for Experiments Evaluating Human Decisions. CoRR Jessica Hullman, Alex Kale, Jason D. Hartline
2024	J	`jnl`	Designing Shared Information Displays for Agents of Varying Strategic Sophistication. Proc. ACM Hum. Comput. Interact. Dongping Zhang, Jason D. Hartline, Jessica Hullman
2024	J	`jnl`	Dupo: A Mixed-Initiative Authoring Tool for Responsive Visualization. IEEE Trans. Vis. Comput. Graph. Hyeok Kim, Ryan A. Rossi, Jessica Hullman, Jane Hoffswell
2024	J	`jnl`	EVM: Incorporating Model Checking into Exploratory Visual Analysis. IEEE Trans. Vis. Comput. Graph. Alex Kale, Ziyang Guo, Xiaoli Qiao, Jeffrey Heer, Jessica Hullman
2024	A*	`conf`	Erie: A Declarative Grammar for Data Sonification. CHI Hyeok Kim, Yea-Seul Kim, Jessica Hullman
2024	J	`jnl`	Erie: A Declarative Grammar for Data Sonification. CoRR Hyeok Kim, Yea-Seul Kim, Jessica Hullman
2024	A*	`conf`	Evaluating the Utility of Conformal Prediction Sets for AI-Advised Image Labeling. CHI Dongping Zhang, Angelos Chatzimparmpas, Negar Kamali, Jessica Hullman
2024	J	`jnl`	Evaluating the Utility of Conformal Prediction Sets for AI-Advised Image Labeling. CoRR Dongping Zhang, Angelos Chatzimparmpas, Negar Kamali, Jessica Hullman
2024	J	`jnl`	How to Distinguish AI-Generated Images from Authentic Photographs. CoRR Negar Kamali, Karyn Nakamura, Angelos Chatzimparmpas, Jessica Hullman, Matthew Groh
2024	A*	`conf`	Measure-Observe-Remeasure: An Interactive Paradigm for Differentially-Private Exploratory Analysis. SP Priyanka Nanayakkara, Hyeok Kim, Yifan Wu, Ali Sarvghad, Narges Mahyar, Gerome Miklau, Jessica Hullman
2024	J	`jnl`	Measure-Observe-Remeasure: An Interactive Paradigm for Differentially-Private Exploratory Analysis. CoRR Priyanka Nanayakkara, Hyeok Kim, Yifan Wu, Ali Sarvghad, Narges Mahyar, Gerome Miklau, Jessica Hullman
2024	J	`jnl`	Measuring Free-Form Decision-Making Inconsistency of Language Models in Military Crisis Simulations. CoRR Aryan Shrivastava, Jessica Hullman, Max Lamparth
2024	A*	`conf`	Milliways: Taming Multiverses through Principled Evaluation of Data Analysis Paths. CHI Abhraneel Sarma, Kyle Hwang, Jessica Hullman, Matthew Kay
2024	J	`jnl`	Swaying the Public? Impacts of Election Forecast Visualizations on Emotion, Trust, and Intention in the 2022 U.S. Midterms. IEEE Trans. Vis. Comput. Graph. Fumeng Yang, Mandi Cai, Chloe Mortenson, Hoda Fakhari, Ayse D. Lokmanoglu, Jessica Hullman, Steven Franconeri, Nicholas Diakopoulos, Erik C. Nisbet, Matthew Kay
2024	J	`jnl`	The Rational Agent Benchmark for Data Visualization. IEEE Trans. Vis. Comput. Graph. Yifan Wu, Ziyang Guo, Michalis Mamakos, Jason D. Hartline, Jessica Hullman
2024	—	`conf`	Trust and Reliance in Evolving Human-AI Workflows (TREW). CHI Extended Abstracts Zahra Ashktorab, Gagan Bansal, Zana Buçinca, Kenneth Holstein, Jessica Hullman, Alison Marie Smith-Renner, Tongshuang Wu, Wenjuan Zhang
2024	J	`jnl`	VMC: A Grammar for Visualizing Statistical Model Checks. CoRR Ziyang Guo, Alex Kale, Matthew Kay, Jessica Hullman
2024	J	`jnl`	What to Consider When Considering Differential Privacy for Policy. CoRR Priyanka Nanayakkara, Jessica Hullman
2023	J	`jnl`	Are We Closing the Loop Yet? Gaps in the Generalizability of VIS4ML Research. CoRR Hariharan Subramonyam, Jessica Hullman
2023	J	`jnl`	Artificial Intelligence and Aesthetic Judgment. CoRR Jessica Hullman, Ari Holtzman, Andrew Gelman
2023	J	`jnl`	Designing Shared Information Displays for Agents of Varying Strategic Sophistication. CoRR Dongping Zhang, Jason D. Hartline, Jessica Hullman
2023	J	`jnl`	Dupo: A Mixed-Initiative Authoring Tool for Responsive Visualization. CoRR Hyeok Kim, Ryan A. Rossi, Jessica Hullman, Jane Hoffswell
2023	J	`jnl`	EVM: Incorporating Model Checking into Exploratory Visual Analysis. CoRR Alex Kale, Ziyang Guo, Xiaoli Qiao, Jeffrey Heer, Jessica Hullman
2023	A*	`conf`	MetaExplorer : Facilitating Reasoning with Epistemic Uncertainty in Meta-analysis. CHI Alex Kale, Sarah Lee, Terrance Goan, Elizabeth Tipton, Jessica Hullman
2023	J	`jnl`	MetaExplorer: Facilitating Reasoning with Epistemic Uncertainty in Meta-analysis. CoRR Alex Kale, Sarah Lee, Terrance Goan, Elizabeth Tipton, Jessica Hullman
2023	J	`jnl`	Pre-registration for Predictive Modeling. CoRR Jake M. Hofman, Angelos Chatzimparmpas, Amit Sharma, Duncan J. Watts, Jessica Hullman
2023	J	`jnl`	REFORMS: Reporting Standards for Machine Learning Based Science. CoRR Sayash Kapoor, Emily Cantrell, Kenny Peng, Thanh Hien Pham, Christopher A. Bail, Odd Erik Gundersen, Jake M. Hofman, Jessica Hullman, Michael A. Lones, Momin M. Malik, Priyanka Nanayakkara, Russell A. Poldrack, Inioluwa Deborah Raji, Michael Roberts, Matthew J. Salganik, Marta Serra-Garcia, Brandon M. Stewart, Gilles Vandewiele, Arvind Narayanan
2023	J	`jnl`	The Rational Agent Benchmark for Data Visualization. CoRR Yifan Wu, Ziyang Guo, Michalis Mamakos, Jason D. Hartline, Jessica Hullman
2023	J	`jnl`	What's Driving Conflicts Around Differential Privacy for the U.S. Census. IEEE Secur. Priv. Priyanka Nanayakkara, Jessica Hullman
2023	—	`conf`	Workshop on Trust and Reliance in AI-Human Teams (TRAIT). CHI Extended Abstracts Gagan Bansal, Zana Buçinca, Kenneth Holstein, Jessica Hullman, Alison Marie Smith-Renner, Simone Stumpf, Sherry Wu
2023	A*	`conf`	multiverse: Multiplexing Alternative Data Analyses in R Notebooks. CHI Abhraneel Sarma, Alex Kale, Michael Jongho Moon, Nathan Taback, Fanny Chevalier, Jessica Hullman, Matthew Kay
2022	J	`jnl`	An Automated Approach to Reasoning About Task-Oriented Insights in Responsive Visualization. IEEE Trans. Vis. Comput. Graph. Hyeok Kim, Ryan A. Rossi, Abhraneel Sarma, Dominik Moritz, Jessica Hullman
2022	J	`jnl`	Causal Support: Modeling Causal Inferences with Visualizations. IEEE Trans. Vis. Comput. Graph. Alex Kale, Yifan Wu, Jessica Hullman
2022	A*	`conf`	Cicero: A Declarative Grammar for Responsive Visualization. CHI Hyeok Kim, Ryan A. Rossi, Fan Du, Eunyee Koh, Shunan Guo, Jessica Hullman, Jane Hoffswell
2022	J	`jnl`	Cicero: A Declarative Grammar for Responsive Visualization. CoRR Hyeok Kim, Ryan A. Rossi, Fan Du, Eunyee Koh, Shunan Guo, Jessica Hullman, Jane Hoffswell
2022	C	`conf`	The Worst of Both Worlds: A Comparative Analysis of Errors in Learning from Data in Psychology and Machine Learning. AIES Jessica Hullman, Sayash Kapoor, Priyanka Nanayakkara, Andrew Gelman, Arvind Narayanan
2022	J	`jnl`	The worst of both worlds: A comparative analysis of errors in learning from data in psychology and machine learning. CoRR Jessica Hullman, Sayash Kapoor, Priyanka Nanayakkara, Andrew Gelman, Arvind Narayanan
2022	J	`jnl`	Visualization Equilibrium. IEEE Trans. Vis. Comput. Graph. Paula Kayongo, Glenn Sun, Jason D. Hartline, Jessica Hullman
2022	J	`jnl`	Visualizing Privacy-Utility Trade-Offs in Differentially Private Data Releases. CoRR Priyanka Nanayakkara, Johes Bater, Xi He, Jessica Hullman, Jennie Rogers
2022	J	`jnl`	Visualizing Privacy-Utility Trade-Offs in Differentially Private Data Releases. Proc. Priv. Enhancing Technol. Priyanka Nanayakkara, Johes Bater, Xi He, Jessica Hullman, Jennie Rogers
2022	J	`jnl`	Visualizing Uncertainty in Probabilistic Graphs with Network Hypothetical Outcome Plots (NetHOPs). IEEE Trans. Vis. Comput. Graph. Dongping Zhang, Eytan Adar, Jessica Hullman
2022	—	`conf`	Workshop on Trust and Reliance in AI-Human Teams (TRAIT). CHI Extended Abstracts Gagan Bansal, Alison Marie Smith-Renner, Zana Buçinca, Tongshuang Wu, Kenneth Holstein, Jessica Hullman, Simone Stumpf
2021	J	`jnl`	A Survey of Domain Knowledge Elicitation in Applied Machine Learning. Multimodal Technol. Interact. Daniel Kerrigan, Jessica Hullman, Enrico Bertini
2021	J	`jnl`	An Automated Approach to Reasoning About Task-Oriented Insights in Responsive Visualization. CoRR Hyeok Kim, Ryan A. Rossi, Abhraneel Sarma, Dominik Moritz, Jessica Hullman
2021	J	`jnl`	Bayesian-Assisted Inference from Visualized Data. IEEE Trans. Vis. Comput. Graph. Yea-Seul Kim, Paula Kayongo, Madeleine Grunde-McLaughlin, Jessica Hullman
2021	J	`jnl`	Causal Support: Modeling Causal Inferences with Visualizations. CoRR Alex Kale, Yifan Wu, Jessica Hullman
2021	J	`jnl`	Design Patterns and Trade-Offs in Responsive Visualization for Communication. Comput. Graph. Forum Hyeok Kim, Dominik Moritz, Jessica Hullman
2021	J	`jnl`	Design Patterns and Trade-Offs in Responsive Visualization for Communication. CoRR Hyeok Kim, Dominik Moritz, Jessica Hullman
2021	J	`jnl`	To design interfaces for exploratory data analysis, we need theories of graphical inference. CoRR Jessica Hullman, Andrew Gelman
2021	C	`conf`	Unpacking the Expressed Consequences of AI Research in Broader Impact Statements. AIES Priyanka Nanayakkara, Jessica Hullman, Nicholas Diakopoulos
2021	J	`jnl`	Unpacking the Expressed Consequences of AI Research in Broader Impact Statements. CoRR Priyanka Nanayakkara, Jessica Hullman, Nicholas Diakopoulos
2021	J	`jnl`	Visual Reasoning Strategies for Effect Size Judgments and Decisions. IEEE Trans. Vis. Comput. Graph. Alex Kale, Matthew Kay, Jessica Hullman
2021	J	`jnl`	Visualization Equilibrium. CoRR Paula Kayongo, Glenn Sun, Jason D. Hartline, Jessica Hullman
2021	J	`jnl`	Visualizing Uncertainty in Probabilistic Graphs with Network Hypothetical Outcome Plots (NetHOPs). CoRR Dongping Zhang, Eytan Adar, Jessica Hullman
2020	J	`jnl`	Anticipatory Ethics and the Role of Uncertainty. CoRR Priyanka Nanayakkara, Nicholas Diakopoulos, Jessica Hullman
2020	J	`jnl`	Bayesian-Assisted Inference from Visualized Data. CoRR Yea-Seul Kim, Paula Kayongo, Madeleine Grunde-McLaughlin, Jessica Hullman
2020	J	`jnl`	Challenges in Evaluating Interactive Visual Machine Learning Systems. IEEE Computer Graphics and Applications Nadia Boukhelifa, Anastasia Bezerianos, Remco Chang, Christopher Collins, Steven Mark Drucker, Alexander Endert, Jessica Hullman, Christopher L. North, Michael Sedlmair, Theresa-Marie Rhyne
2020	J	`jnl`	Exploring the Effects of Aggregation Choices on Untrained Visualization Users' Generalizations From Data. Comput. Graph. Forum Francis Nguyen, Xiaoli Qiao, Jeffrey Heer, Jessica Hullman
2020	A*	`conf`	How Visualizing Inferential Uncertainty Can Mislead Readers About Treatment Effects in Scientific Results. CHI Jake M. Hofman, Daniel G. Goldstein, Jessica Hullman
2020	J	`jnl`	Human Factors in Model Interpretability: Industry Practices, Challenges, and Needs. CoRR Sungsoo Ray Hong, Jessica Hullman, Enrico Bertini
2020	J	`jnl`	Human Factors in Model Interpretability: Industry Practices, Challenges, and Needs. Proc. ACM Hum. Comput. Interact. Sungsoo Ray Hong, Jessica Hullman, Enrico Bertini
2020	J	`jnl`	Illusion of Causality in Visualized Data. IEEE Trans. Vis. Comput. Graph. Cindy Xiong, Joel Shapiro, Jessica Hullman, Steven Franconeri
2020	J	`jnl`	Visual Reasoning Strategies and Satisficing: How Uncertainty Visualization Design Impacts Effect Size Judgments and Decisions. CoRR Alex Kale, Matthew Kay, Jessica Hullman
2020	J	`jnl`	Why Authors Don't Visualize Uncertainty. IEEE Trans. Vis. Comput. Graph. Jessica Hullman
2019	A*	`conf`	A Bayesian Cognition Approach to Improve Data Visualization. CHI Yea-Seul Kim, Logan A. Walls, Peter M. Krafft, Jessica Hullman
2019	J	`jnl`	A Bayesian Cognition Approach to Improve Data Visualization. CoRR Yea-Seul Kim, Logan A. Walls, Peter M. Krafft, Jessica Hullman
2019	A*	`conf`	Decision-Making Under Uncertainty in Research Synthesis: Designing for the Garden of Forking Paths. CHI Alex Kale, Matthew Kay, Jessica Hullman
2019	J	`jnl`	Decision-Making Under Uncertainty in Research Synthesis: Designing for the Garden of Forking Paths. CoRR Alex Kale, Matthew Kay, Jessica Hullman
2019	—	`conf`	HCI for Accurate, Impartial and Transparent Journalism: Challenges and Solutions. CHI Extended Abstracts Tanja Aitamurto, Mike Ananny, Chris W. Anderson, Larry Birnbaum, Nicholas Diakopoulos, Matilda Hanson, Jessica Hullman, Nick Ritchie
2019	J	`jnl`	Hypothetical Outcome Plots Help Untrained Observers Judge Trends in Ambiguous Data. IEEE Trans. Vis. Comput. Graph. Alex Kale, Francis Nguyen, Matthew Kay, Jessica Hullman
2019	J	`jnl`	Illusion of Causality in Visualized Data. CoRR Cindy Xiong, Joel Shapiro, Jessica Hullman, Steven Franconeri
2019	J	`jnl`	In Pursuit of Error: A Survey of Uncertainty Visualization Evaluation. IEEE Trans. Vis. Comput. Graph. Jessica Hullman, Xiaoli Qiao, Michael Correll, Alex Kale, Matthew Kay
2019	Misc	`conf`	Inking Your Insights: Investigating Digital Externalization Behaviors During Data Analysis. ISS Yea-Seul Kim, Nathalie Henry Riche, Bongshin Lee, Matthew Brehmer, Michel Pahud, Ken Hinckley, Jessica Hullman
2019	A*	`conf`	Some Prior(s) Experience Necessary: Templates for Getting Started With Bayesian Analysis. CHI Chanda Phelan, Jessica Hullman, Matthew Kay, Paul Resnick
2019	A*	`conf`	Vocal Shortcuts for Creative Experts. CHI Yea-Seul Kim, Mira Dontcheva, Eytan Adar, Jessica Hullman
2019	J	`jnl`	Why Authors Don't Visualize Uncertainty. CoRR Jessica Hullman
2018	J	`jnl`	Data Through Others' Eyes: The Impact of Visualizing Others' Expectations on Visualization Interpretation. IEEE Trans. Vis. Comput. Graph. Yea-Seul Kim, Katharina Reinecke, Jessica Hullman
2018	B	`conf`	Data Visualization as a Domain to Research Areas in Cognitive Science. CogSci Caitlyn McColeman, Audrey Michal, Robert L. Goldstone, Karen B. Schloss, Jennifer Kaminski, Jessica Hullman
2018	J	`jnl`	Imagining Replications: Graphical Prediction & Discrete Visualizations Improve Recall & Estimation of Effect Uncertainty. IEEE Trans. Vis. Comput. Graph. Jessica Hullman, Matthew Kay, Yea-Seul Kim, Samana Shrestha
2018	A*	`conf`	Improving Comprehension of Measurements Using Concrete Re-expression Strategies. CHI Jessica Hullman, Yea-Seul Kim, Francis Nguyen, Lauren Speers, Maneesh Agrawala
2018	J	`jnl`	Keeping Multiple Views Consistent: Constraints, Validations, and Exceptions in Visualization Authoring. IEEE Trans. Vis. Comput. Graph. Zening Qu, Jessica Hullman
2018	C	`conf`	Picturing Science: Design Patterns in Graphical Abstracts. Diagrams Jessica Hullman, Benjamin Bach
2018	A*	`conf`	Uncertainty Displays Using Quantile Dotplots or CDFs Improve Transit Decision-Making. CHI Michael Fernandes, Logan Walls, Sean Munson, Jessica Hullman, Matthew Kay
2017	—	`conf`	Designing for Uncertainty in HCI: When Does Uncertainty Help? CHI Extended Abstracts Miriam Greis, Jessica Hullman, Michael Correll, Matthew Kay, Orit Shaer
2017	A*	`conf`	Explaining the Gap: Visualizing One's Predictions Improves Recall and Comprehension of Data. CHI Yea-Seul Kim, Katharina Reinecke, Jessica Hullman
2017	J	`jnl`	Finding a Clear Path: Structuring Strategies for Visualization Sequences. Comput. Graph. Forum Jessica Hullman, Robert Kosara, Heidi Lam
2017	A*	`conf`	GraphScape: A Model for Automated Reasoning about Visualization Similarity and Sequencing. CHI Younghoon Kim, Kanit Wongsuphasawat, Jessica Hullman, Jeffrey Heer
2017	J	`jnl`	Leveraging Citation Networks to Visualize Scholarly Influence Over Time. Frontiers Res. Metrics Anal. Jason Portenoy, Jessica Hullman, Jevin D. West
2017	A*	`conf`	PersaLog: Personalization of News Article Content. CHI Eytan Adar, Carolyn Gearig, Ayshwarya Balasubramanian, Jessica Hullman
2016	—	`conf`	Evaluating Visualization Sets: Trade-offs Between Local Effectiveness and Global Consistency. BELIV Zening Qu, Jessica Hullman
2016	A*	`conf`	Generating Personalized Spatial Analogies for Distances and Areas. CHI Yea-Seul Kim, Jessica Hullman, Maneesh Agrawala
2016	J	`jnl`	Leveraging Citation Networks to Visualize Scholarly Influence Over Time. CoRR Jason Portenoy, Jessica Hullman, Jevin D. West
2016	A*	`conf`	SimpleScience: Lexical Simplification of Scientific Terminology. EMNLP Yea-Seul Kim, Jessica Hullman, Matthew Burgess, Eytan Adar
2016	—	`conf`	Why Evaluating Uncertainty Visualization is Error Prone. BELIV Jessica Hullman
2015	A	`conf`	Content, Context, and Critique: Commenting on a Data Visualization Blog. CSCW Jessica Hullman, Nicholas Diakopoulos, Elaheh Momeni, Eytan Adar
2014	A*	`conf`	NewsViews: an automated pipeline for creating custom geovisualizations for news. CHI Tong Gao, Jessica Hullman, Eytan Adar, Brent J. Hecht, Nicholas Diakopoulos
2013	J	`jnl`	A Deeper Understanding of Sequence in Narrative Visualization. IEEE Trans. Vis. Comput. Graph. Jessica Hullman, Steven Mark Drucker, Nathalie Henry Riche, Bongshin Lee, Danyel Fisher, Eytan Adar
2013	A*	`conf`	Contextifier: automatic generation of annotated stock visualizations. CHI Jessica Hullman, Nicholas Diakopoulos, Eytan Adar
2011	J	`jnl`	Benefitting InfoVis with Visual Difficulties. IEEE Trans. Vis. Comput. Graph. Jessica Hullman, Eytan Adar, Priti Shah
2011	A*	`conf`	The impact of social information on visual judgments. CHI Jessica Hullman, Eytan Adar, Priti Shah
2011	J	`jnl`	Visualization Rhetoric: Framing Effects in Narrative Visualization. IEEE Trans. Vis. Comput. Graph. Jessica Hullman, Nicholas Diakopoulos