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Jessica Hullman
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Visualization rhetoric: Framing effects in narrative visualization
J Hullman, N Diakopoulos
IEEE transactions on visualization and computer graphics 17 (12), 2231-2240, 2011
4362011
When (ish) is My Bus? User-centered Visualizations of Uncertainty in Everyday, Mobile Predictive Systems
M Kay, T Kola, SA Munson, JR Hullman
ACM CHI 2016, 2016
2052016
A deeper understanding of sequence in narrative visualization
J Hullman, S Drucker, NH Riche, B Lee, D Fisher, E Adar
IEEE Transactions on visualization and computer graphics 19 (12), 2406-2415, 2013
2022013
Benefitting infovis with visual difficulties
J Hullman, E Adar, P Shah
IEEE Transactions on Visualization and Computer Graphics 17 (12), 2213-2222, 2011
1622011
Contextifier: automatic generation of annotated stock visualizations
J Hullman, N Diakopoulos, E Adar
Proceedings of the SIGCHI Conference on human factors in computing systems …, 2013
1262013
Hypothetical Outcome Plots Outperform Error Bars and Violin Plots for Inferences about Reliability of Variable Ordering.
J Hullman, P Resnick, E Adar
PloS one 10 (11), e0142444-e0142444, 2015
1222015
Uncertainty Displays Using Quantile Dotplots or CDFs Improve Transit Decision-Making
M Fernandes, L Walls, S Munson, J Hullman, M Kay
1112018
In pursuit of error: A survey of uncertainty visualization evaluation
J Hullman, X Qiao, M Correll, A Kale, M Kay
IEEE transactions on visualization and computer graphics 25 (1), 903-913, 2018
1072018
Mechanical Turk is Not Anonymous (SSRN Scholarly Paper No. ID 2228728). Rochester, NY: Social Science Research Network
M Lease, J Hullman, J Bigham, M Bernstein, J Kim, W Lasecki, R Miller
100*2013
Hypothetical outcome plots help untrained observers judge trends in ambiguous data
A Kale, F Nguyen, M Kay, J Hullman
IEEE transactions on visualization and computer graphics 25 (1), 892-902, 2018
892018
Why authors don't visualize uncertainty
J Hullman
IEEE transactions on visualization and computer graphics 26 (1), 130-139, 2019
872019
Explaining the gap: Visualizing one's predictions improves recall and comprehension of data
YS Kim, K Reinecke, J Hullman
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems …, 2017
862017
Keeping multiple views consistent: Constraints, validations, and exceptions in visualization authoring
Z Qu, J Hullman
IEEE transactions on visualization and computer graphics 24 (1), 468-477, 2017
822017
Human factors in model interpretability: Industry practices, challenges, and needs
SR Hong, J Hullman, E Bertini
Proceedings of the ACM on Human-Computer Interaction 4 (CSCW1), 1-26, 2020
802020
NewsViews: an automated pipeline for creating custom geovisualizations for news
T Gao, JR Hullman, E Adar, B Hecht, N Diakopoulos
Proceedings of the SIGCHI conference on human factors in computing systems …, 2014
792014
The impact of social information on visual judgments
J Hullman, E Adar, P Shah
Proceedings of the SIGCHI conference on human factors in computing systems …, 2011
792011
GraphScape: A Model for Automated Reasoning about Visualization Similarity and Sequencing
Y Kim, K Wongsuphasawat, J Hullman, J Heer
Proceedings of the ACM Conference on Computer-Human Interaction (CHI 2017), 2017
752017
A bayesian cognition approach to improve data visualization
YS Kim, LA Walls, P Krafft, J Hullman
Proceedings of the 2019 chi conference on human factors in computing systems …, 2019
512019
Imagining replications: Graphical prediction & discrete visualizations improve recall & estimation of effect uncertainty
J Hullman, M Kay, YS Kim, S Shrestha
IEEE transactions on visualization and computer graphics 24 (1), 446-456, 2017
502017
Data through others' eyes: The impact of visualizing others' expectations on visualization interpretation
YS Kim, K Reinecke, J Hullman
IEEE transactions on visualization and computer graphics 24 (1), 760-769, 2017
442017
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