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ORCIDJessica Hullman
Jessica R. Hullman
Person information
- affiliation: Northwestern University, Evanston, IL, USA
- affiliation (former): University of Washington, Seattle, WA, USA
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2020 – today
- 2024
[j30]Fumeng Yang, Mandi Cai, Chloe Mortenson, Hoda Fakhari, Ayse D. Lokmanoglu, Jessica Hullman
, Steven Franconeri, Nicholas Diakopoulos, Erik C. Nisbet, Matthew Kay:
Swaying the Public? Impacts of Election Forecast Visualizations on Emotion, Trust, and Intention in the 2022 U.S. Midterms. IEEE Trans. Vis. Comput. Graph. 30(1): 23-33 (2024)- [j29]Alex Kale, Ziyang Guo, Xiaoli Qiao, Jeffrey Heer, Jessica Hullman:
EVM: Incorporating Model Checking into Exploratory Visual Analysis. IEEE Trans. Vis. Comput. Graph. 30(1): 208-218 (2024) - [j28]Yifan Wu, Ziyang Guo, Michalis Mamakos, Jason D. Hartline, Jessica Hullman:
The Rational Agent Benchmark for Data Visualization. IEEE Trans. Vis. Comput. Graph. 30(1): 338-347 (2024) - [j27]Hariharan Subramonyam, Jessica Hullman:
Are We Closing the Loop Yet? Gaps in the Generalizability of VIS4ML Research. IEEE Trans. Vis. Comput. Graph. 30(1): 672-682 (2024) - [j26]Hyeok Kim, Ryan A. Rossi, Jessica Hullman, Jane Hoffswell:
Dupo: A Mixed-Initiative Authoring Tool for Responsive Visualization. IEEE Trans. Vis. Comput. Graph. 30(1): 934-943 (2024) - [i32]Dongping Zhang, Angelos Chatzimparmpas, Negar Kamali, Jessica Hullman:
Evaluating the Utility of Conformal Prediction Sets for AI-Advised Image Labeling. CoRR abs/2401.08876 (2024) - [i31]Jessica Hullman, Alex Kale, Jason D. Hartline:
Decision Theoretic Foundations for Experiments Evaluating Human Decisions. CoRR abs/2401.15106 (2024) - [i30]Ziyang Guo, Yifan Wu, Jason D. Hartline, Jessica Hullman:
A Statistical Framework for Measuring AI Reliance. CoRR abs/2401.15356 (2024) - [i29]Hyeok Kim, Yea-Seul Kim, Jessica Hullman:
Erie: A Declarative Grammar for Data Sonification. CoRR abs/2402.00156 (2024) - 2023
- [j25]Priyanka Nanayakkara, Jessica Hullman:
What's Driving Conflicts Around Differential Privacy for the U.S. Census. IEEE Secur. Priv. 21(5): 33-42 (2023) - [c32]Abhraneel Sarma, Alex Kale, Michael Jongho Moon, Nathan Taback, Fanny Chevalier, Jessica Hullman, Matthew Kay:
multiverse: Multiplexing Alternative Data Analyses in R Notebooks. CHI 2023: 148:1-148:15 - [c31]Gagan Bansal, Zana Buçinca, Kenneth Holstein, Jessica Hullman, Alison Marie Smith-Renner, Simone Stumpf, Sherry Wu:
Workshop on Trust and Reliance in AI-Human Teams (TRAIT). CHI Extended Abstracts 2023: 371:1-371:6 - [c30]Alex Kale, Sarah Lee, Terrance Goan, Elizabeth Tipton, Jessica Hullman:
MetaExplorer : Facilitating Reasoning with Epistemic Uncertainty in Meta-analysis. CHI 2023: 465:1-465:14 - [i28]Alex Kale, Sarah Lee, Terrance Goan, Elizabeth Tipton, Jessica Hullman:
MetaExplorer: Facilitating Reasoning with Epistemic Uncertainty in Meta-analysis. CoRR abs/2302.04739 (2023) - [i27]Yifan Wu, Ziyang Guo, Michalis Mamakos, Jason D. Hartline, Jessica Hullman:
The Rational Agent Benchmark for Data Visualization. CoRR abs/2304.03432 (2023) - [i26]Hyeok Kim, Ryan A. Rossi, Jessica Hullman, Jane Hoffswell:
Dupo: A Mixed-Initiative Authoring Tool for Responsive Visualization. CoRR abs/2308.05136 (2023) - [i25]Hariharan Subramonyam, Jessica Hullman:
Are We Closing the Loop Yet? Gaps in the Generalizability of VIS4ML Research. CoRR abs/2308.06290 (2023) - [i24]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:
REFORMS: Reporting Standards for Machine Learning Based Science. CoRR abs/2308.07832 (2023) - [i23]Alex Kale, Ziyang Guo, Xiaoli Qiao, Jeffrey Heer, Jessica Hullman:
EVM: Incorporating Model Checking into Exploratory Visual Analysis. CoRR abs/2308.13024 (2023) - [i22]Jessica Hullman, Ari Holtzman, Andrew Gelman:
Artificial Intelligence and Aesthetic Judgment. CoRR abs/2309.12338 (2023) - [i21]Dongping Zhang, Jason D. Hartline, Jessica Hullman:
Designing Shared Information Displays for Agents of Varying Strategic Sophistication. CoRR abs/2310.10858 (2023) - [i20]Jake M. Hofman, Angelos Chatzimparmpas, Amit Sharma, Duncan J. Watts, Jessica Hullman:
Pre-registration for Predictive Modeling. CoRR abs/2311.18807 (2023) - 2022
- [j24]Priyanka Nanayakkara, Johes Bater, Xi He, Jessica Hullman, Jennie Rogers:
Visualizing Privacy-Utility Trade-Offs in Differentially Private Data Releases. Proc. Priv. Enhancing Technol. 2022(2): 601-618 (2022) - [j23]Hyeok Kim, Ryan A. Rossi, Abhraneel Sarma, Dominik Moritz, Jessica Hullman:
An Automated Approach to Reasoning About Task-Oriented Insights in Responsive Visualization. IEEE Trans. Vis. Comput. Graph. 28(1): 129-139 (2022) - [j22]Dongping Zhang, Eytan Adar, Jessica Hullman:
Visualizing Uncertainty in Probabilistic Graphs with Network Hypothetical Outcome Plots (NetHOPs). IEEE Trans. Vis. Comput. Graph. 28(1): 443-453 (2022) - [j21]Paula Kayongo, Glenn Sun, Jason D. Hartline, Jessica Hullman:
Visualization Equilibrium. IEEE Trans. Vis. Comput. Graph. 28(1): 465-474 (2022) - [j20]Alex Kale, Yifan Wu, Jessica Hullman:
Causal Support: Modeling Causal Inferences with Visualizations. IEEE Trans. Vis. Comput. Graph. 28(1): 1150-1160 (2022) - [c29]Jessica Hullman, Sayash Kapoor, Priyanka Nanayakkara, Andrew Gelman, Arvind Narayanan:
The Worst of Both Worlds: A Comparative Analysis of Errors in Learning from Data in Psychology and Machine Learning. AIES 2022: 335-348 - [c28]David Liu, Priyanka Nanayakkara, Sarah Ariyan Sakha, Grace Abuhamad, Su Lin Blodgett, Nicholas Diakopoulos, Jessica R. Hullman, Tina Eliassi-Rad:
Examining Responsibility and Deliberation in AI Impact Statements and Ethics Reviews. AIES 2022: 424-435 - [c27]Gagan Bansal, Alison Marie Smith-Renner, Zana Buçinca, Tongshuang Wu, Kenneth Holstein, Jessica Hullman, Simone Stumpf:
Workshop on Trust and Reliance in AI-Human Teams (TRAIT). CHI Extended Abstracts 2022: 116:1-116:6 - [c26]Hyeok Kim, Ryan A. Rossi, Fan Du, Eunyee Koh, Shunan Guo, Jessica Hullman, Jane Hoffswell:
Cicero: A Declarative Grammar for Responsive Visualization. CHI 2022: 600:1-600:15 - [i19]Priyanka Nanayakkara, Johes Bater, Xi He, Jessica Hullman, Jennie Rogers:
Visualizing Privacy-Utility Trade-Offs in Differentially Private Data Releases. CoRR abs/2201.05964 (2022) - [i18]Jessica Hullman, Sayash Kapoor, Priyanka Nanayakkara, Andrew Gelman, Arvind Narayanan:
The worst of both worlds: A comparative analysis of errors in learning from data in psychology and machine learning. CoRR abs/2203.06498 (2022) - [i17]Hyeok Kim, Ryan A. Rossi, Fan Du, Eunyee Koh, Shunan Guo, Jessica Hullman, Jane Hoffswell:
Cicero: A Declarative Grammar for Responsive Visualization. CoRR abs/2203.08314 (2022) - 2021
- [j19]Hyeok Kim, Dominik Moritz, Jessica Hullman:
Design Patterns and Trade-Offs in Responsive Visualization for Communication. Comput. Graph. Forum 40(3): 459-470 (2021) - [j18]Daniel Kerrigan, Jessica Hullman, Enrico Bertini:
A Survey of Domain Knowledge Elicitation in Applied Machine Learning. Multimodal Technol. Interact. 5(12): 73 (2021) - [j17]Alex Kale, Matthew Kay, Jessica Hullman:
Visual Reasoning Strategies for Effect Size Judgments and Decisions. IEEE Trans. Vis. Comput. Graph. 27(2): 272-282 (2021) - [j16]Yea-Seul Kim, Paula Kayongo, Madeleine Grunde-McLaughlin, Jessica Hullman:
Bayesian-Assisted Inference from Visualized Data. IEEE Trans. Vis. Comput. Graph. 27(2): 989-999 (2021) - [c25]Priyanka Nanayakkara, Jessica Hullman, Nicholas Diakopoulos:
Unpacking the Expressed Consequences of AI Research in Broader Impact Statements. AIES 2021: 795-806 - [i16]Jessica Hullman, Andrew Gelman:
To design interfaces for exploratory data analysis, we need theories of graphical inference. CoRR abs/2104.02015 (2021) - [i15]Hyeok Kim, Dominik Moritz, Jessica Hullman:
Design Patterns and Trade-Offs in Responsive Visualization for Communication. CoRR abs/2104.07724 (2021) - [i14]Priyanka Nanayakkara, Jessica Hullman, Nicholas Diakopoulos:
Unpacking the Expressed Consequences of AI Research in Broader Impact Statements. CoRR abs/2105.04760 (2021) - [i13]Hyeok Kim, Ryan A. Rossi, Abhraneel Sarma, Dominik Moritz, Jessica Hullman:
An Automated Approach to Reasoning About Task-Oriented Insights in Responsive Visualization. CoRR abs/2107.08141 (2021) - [i12]Alex Kale, Yifan Wu, Jessica Hullman:
Causal Support: Modeling Causal Inferences with Visualizations. CoRR abs/2107.13485 (2021) - [i11]Paula Kayongo, Glenn Sun, Jason D. Hartline, Jessica Hullman:
Visualization Equilibrium. CoRR abs/2108.04953 (2021) - [i10]Dongping Zhang, Eytan Adar, Jessica Hullman:
Visualizing Uncertainty in Probabilistic Graphs with Network Hypothetical Outcome Plots (NetHOPs). CoRR abs/2108.09870 (2021) - 2020
- [j15]Nadia Boukhelifa, Anastasia Bezerianos, Remco Chang, Christopher Collins, Steven Mark Drucker, Alexander Endert, Jessica Hullman, Christopher L. North, Michael Sedlmair, Theresa-Marie Rhyne:
Challenges in Evaluating Interactive Visual Machine Learning Systems. IEEE Computer Graphics and Applications 40(6): 88-96 (2020) - [j14]Francis Nguyen, Xiaoli Qiao, Jeffrey Heer, Jessica Hullman:
Exploring the Effects of Aggregation Choices on Untrained Visualization Users' Generalizations From Data. Comput. Graph. Forum 39(6): 33-48 (2020) - [j13]Sungsoo Ray Hong, Jessica Hullman, Enrico Bertini:
Human Factors in Model Interpretability: Industry Practices, Challenges, and Needs. Proc. ACM Hum. Comput. Interact. 4(CSCW): 068:1-068:26 (2020) - [j12]Jessica Hullman:
Why Authors Don't Visualize Uncertainty. IEEE Trans. Vis. Comput. Graph. 26(1): 130-139 (2020) - [j11]Cindy Xiong, Joel Shapiro, Jessica Hullman, Steven Franconeri:
Illusion of Causality in Visualized Data. IEEE Trans. Vis. Comput. Graph. 26(1): 853-862 (2020) - [c24]Jake M. Hofman, Daniel G. Goldstein, Jessica Hullman:
How Visualizing Inferential Uncertainty Can Mislead Readers About Treatment Effects in Scientific Results. CHI 2020: 1-12 - [i9]Sungsoo Ray Hong, Jessica Hullman, Enrico Bertini:
Human Factors in Model Interpretability: Industry Practices, Challenges, and Needs. CoRR abs/2004.11440 (2020) - [i8]Alex Kale, Matthew Kay, Jessica Hullman:
Visual Reasoning Strategies and Satisficing: How Uncertainty Visualization Design Impacts Effect Size Judgments and Decisions. CoRR abs/2007.14516 (2020) - [i7]Yea-Seul Kim, Paula Kayongo, Madeleine Grunde-McLaughlin, Jessica Hullman:
Bayesian-Assisted Inference from Visualized Data. CoRR abs/2008.00142 (2020) - [i6]Priyanka Nanayakkara, Nicholas Diakopoulos, Jessica Hullman:
Anticipatory Ethics and the Role of Uncertainty. CoRR abs/2011.13170 (2020)
2010 – 2019
- 2019
- [j10]Alex Kale, Francis Nguyen, Matthew Kay, Jessica Hullman:
Hypothetical Outcome Plots Help Untrained Observers Judge Trends in Ambiguous Data. IEEE Trans. Vis. Comput. Graph. 25(1): 892-902 (2019) - [j9]Jessica Hullman, Xiaoli Qiao, Michael Correll, Alex Kale, Matthew Kay:
In Pursuit of Error: A Survey of Uncertainty Visualization Evaluation. IEEE Trans. Vis. Comput. Graph. 25(1): 903-913 (2019) - [c23]Tanja Aitamurto, Mike Ananny, Chris W. Anderson, Larry Birnbaum, Nicholas Diakopoulos, Matilda Hanson, Jessica Hullman, Nick Ritchie:
HCI for Accurate, Impartial and Transparent Journalism: Challenges and Solutions. CHI Extended Abstracts 2019 - [c22]Alex Kale, Matthew Kay, Jessica Hullman:
Decision-Making Under Uncertainty in Research Synthesis: Designing for the Garden of Forking Paths. CHI 2019: 202 - [c21]Yea-Seul Kim, Mira Dontcheva, Eytan Adar, Jessica Hullman:
Vocal Shortcuts for Creative Experts. CHI 2019: 332 - [c20]Chanda Phelan, Jessica Hullman, Matthew Kay, Paul Resnick:
Some Prior(s) Experience Necessary: Templates for Getting Started With Bayesian Analysis. CHI 2019: 479 - [c19]Yea-Seul Kim, Logan A. Walls, Peter M. Krafft, Jessica Hullman:
A Bayesian Cognition Approach to Improve Data Visualization. CHI 2019: 682 - [c18]Yea-Seul Kim, Nathalie Henry Riche, Bongshin Lee, Matthew Brehmer, Michel Pahud, Ken Hinckley, Jessica Hullman:
Inking Your Insights: Investigating Digital Externalization Behaviors During Data Analysis. ISS 2019: 255-267 - [i5]Yea-Seul Kim, Logan A. Walls, Peter M. Krafft, Jessica Hullman:
A Bayesian Cognition Approach to Improve Data Visualization. CoRR abs/1901.02949 (2019) - [i4]Alex Kale, Matthew Kay, Jessica Hullman:
Decision-Making Under Uncertainty in Research Synthesis: Designing for the Garden of Forking Paths. CoRR abs/1901.02957 (2019) - [i3]Cindy Xiong, Joel Shapiro, Jessica Hullman, Steven Franconeri:
Illusion of Causality in Visualized Data. CoRR abs/1908.00215 (2019) - [i2]Jessica Hullman:
Why Authors Don't Visualize Uncertainty. CoRR abs/1908.01697 (2019) - 2018
- [j8]Jessica Hullman, Matthew Kay, Yea-Seul Kim, Samana Shrestha:
Imagining Replications: Graphical Prediction & Discrete Visualizations Improve Recall & Estimation of Effect Uncertainty. IEEE Trans. Vis. Comput. Graph. 24(1): 446-456 (2018) - [j7]Zening Qu, Jessica Hullman:
Keeping Multiple Views Consistent: Constraints, Validations, and Exceptions in Visualization Authoring. IEEE Trans. Vis. Comput. Graph. 24(1): 468-477 (2018) - [j6]Yea-Seul Kim, Katharina Reinecke, Jessica Hullman:
Data Through Others' Eyes: The Impact of Visualizing Others' Expectations on Visualization Interpretation. IEEE Trans. Vis. Comput. Graph. 24(1): 760-769 (2018) - [c17]Jessica Hullman, Yea-Seul Kim, Francis Nguyen, Lauren Speers, Maneesh Agrawala:
Improving Comprehension of Measurements Using Concrete Re-expression Strategies. CHI 2018: 34 - [c16]Michael Fernandes, Logan Walls, Sean Munson, Jessica Hullman, Matthew Kay:
Uncertainty Displays Using Quantile Dotplots or CDFs Improve Transit Decision-Making. CHI 2018: 144 - [c15]Caitlyn McColeman, Audrey Michal, Robert L. Goldstone, Karen B. Schloss, Jennifer Kaminski, Jessica Hullman:
Data Visualization as a Domain to Research Areas in Cognitive Science. CogSci 2018 - [c14]Jessica Hullman, Benjamin Bach:
Picturing Science: Design Patterns in Graphical Abstracts. Diagrams 2018: 183-200 - 2017
- [j5]Jessica Hullman, Robert Kosara, Heidi Lam:
Finding a Clear Path: Structuring Strategies for Visualization Sequences. Comput. Graph. Forum 36(3): 365-375 (2017) - [j4]Jason Portenoy, Jessica Hullman, Jevin D. West:
Leveraging Citation Networks to Visualize Scholarly Influence Over Time. Frontiers Res. Metrics Anal. 2: 8 (2017) - [c13]Miriam Greis, Jessica Hullman, Michael Correll, Matthew Kay, Orit Shaer:
Designing for Uncertainty in HCI: When Does Uncertainty Help? CHI Extended Abstracts 2017: 593-600 - [c12]Yea-Seul Kim, Katharina Reinecke, Jessica Hullman:
Explaining the Gap: Visualizing One's Predictions Improves Recall and Comprehension of Data. CHI 2017: 1375-1386 - [c11]Younghoon Kim, Kanit Wongsuphasawat, Jessica Hullman, Jeffrey Heer:
GraphScape: A Model for Automated Reasoning about Visualization Similarity and Sequencing. CHI 2017: 2628-2638 - [c10]Eytan Adar, Carolyn Gearig, Ayshwarya Balasubramanian, Jessica Hullman:
PersaLog: Personalization of News Article Content. CHI 2017: 3188-3200 - 2016
- [c9]Zening Qu, Jessica Hullman:
Evaluating Visualization Sets: Trade-offs Between Local Effectiveness and Global Consistency. BELIV 2016: 44-52 - [c8]Jessica Hullman:
Why Evaluating Uncertainty Visualization is Error Prone. BELIV 2016: 143-151 - [c7]Yea-Seul Kim, Jessica Hullman, Maneesh Agrawala:
Generating Personalized Spatial Analogies for Distances and Areas. CHI 2016: 38-48 - [c6]Matthew Kay, Tara Kola, Jessica R. Hullman, Sean A. Munson:
When (ish) is My Bus?: User-centered Visualizations of Uncertainty in Everyday, Mobile Predictive Systems. CHI 2016: 5092-5103 - [c5]Yea-Seul Kim, Jessica Hullman, Matthew Burgess, Eytan Adar:
SimpleScience: Lexical Simplification of Scientific Terminology. EMNLP 2016: 1066-1071 - [i1]Jason Portenoy, Jessica Hullman, Jevin D. West:
Leveraging Citation Networks to Visualize Scholarly Influence Over Time. CoRR abs/1611.07135 (2016) - 2015
- [c4]Jessica Hullman, Nicholas Diakopoulos, Elaheh Momeni, Eytan Adar:
Content, Context, and Critique: Commenting on a Data Visualization Blog. CSCW 2015: 1170-1175 - 2014
- [c3]Tong Gao, Jessica Hullman, Eytan Adar, Brent J. Hecht, Nicholas Diakopoulos:
NewsViews: an automated pipeline for creating custom geovisualizations for news. CHI 2014: 3005-3014 - 2013
- [j3]Jessica Hullman, Steven Mark Drucker, Nathalie Henry Riche, Bongshin Lee, Danyel Fisher, Eytan Adar:
A Deeper Understanding of Sequence in Narrative Visualization. IEEE Trans. Vis. Comput. Graph. 19(12): 2406-2415 (2013) - [c2]Jessica Hullman, Nicholas Diakopoulos, Eytan Adar:
Contextifier: automatic generation of annotated stock visualizations. CHI 2013: 2707-2716 - 2011
- [j2]Jessica Hullman, Eytan Adar, Priti Shah:
Benefitting InfoVis with Visual Difficulties. IEEE Trans. Vis. Comput. Graph. 17(12): 2213-2222 (2011) - [j1]Jessica Hullman, Nicholas Diakopoulos:
Visualization Rhetoric: Framing Effects in Narrative Visualization. IEEE Trans. Vis. Comput. Graph. 17(12): 2231-2240 (2011) - [c1]Jessica Hullman, Eytan Adar, Priti Shah:
The impact of social information on visual judgments. CHI 2011: 1461-1470
Coauthor Index
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last updated on 2024-04-18 20:33 CEST by the dblp team
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