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ORCIDJessica Hullman
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- affiliation: Northwestern University, Evanston, IL, USA
- affiliation (former): University of Washington, Seattle, WA, USA
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2020 – today
- 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) - 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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