Search Results - "Hullman, Jessica"

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  1. 1

    Hypothetical Outcome Plots Outperform Error Bars and Violin Plots for Inferences about Reliability of Variable Ordering by Hullman, Jessica, Resnick, Paul, Adar, Eytan

    Published in PloS one (16-11-2015)
    “…Many visual depictions of probability distributions, such as error bars, are difficult for users to accurately interpret. We present and study an alternative…”
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    Journal Article
  2. 2

    The Science of Visual Data Communication: What Works by Franconeri, Steven L., Padilla, Lace M., Shah, Priti, Zacks, Jeffrey M., Hullman, Jessica

    “…Effectively designed data visualizations allow viewers to use their powerful visual systems to understand patterns in data across science, education, health,…”
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  3. 3

    Uncertain About Uncertainty: How Qualitative Expressions of Forecaster Confidence Impact Decision-Making With Uncertainty Visualizations by Padilla, Lace M K, Powell, Maia, Kay, Matthew, Hullman, Jessica

    Published in Frontiers in psychology (22-01-2021)
    “…When forecasting events, multiple types of uncertainty are often inherently present in the modeling process. Various uncertainty typologies exist, and each…”
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  4. 4

    A Survey of Domain Knowledge Elicitation in Applied Machine Learning by Kerrigan, Daniel, Hullman, Jessica, Bertini, Enrico

    Published in Multimodal technologies and interaction (01-12-2021)
    “…Eliciting knowledge from domain experts can play an important role throughout the machine learning process, from correctly specifying the task to evaluating…”
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    Information, incentives, and goals in election forecasts by Gelman, Andrew, Hullman, Jessica, Wlezien, Christopher, Morris, George Elliott

    Published in Judgment and decision making (01-09-2020)
    “…Presidential elections can be forecast using information from political and economic conditions, polls, and a statistical model of changes in public opinion…”
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  8. 8

    Why Authors Don't Visualize Uncertainty by Hullman, Jessica

    “…Clear presentation of uncertainty is an exception rather than rule in media articles, data-driven reports, and consumer applications, despite proposed…”
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  9. 9

    Some problems with zooming out as scientific reform by Hullman, Jessica

    Published in The Behavioral and brain sciences (05-02-2024)
    “…Integrative experimentation will improve on the status quo in empirical behavioral science. However, the results integrative experiments produce will remain…”
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  10. 10

    Leveraging Citation Networks to Visualize Scholarly Influence Over Time by Portenoy, Jason, Hullman, Jessica, West, Jevin D.

    “…Assessing the influence of a scholar’s work is an important task for funding organizations, academic departments, and researchers. Common methods, such as…”
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  11. 11

    Visual Reasoning Strategies for Effect Size Judgments and Decisions by Kale, Alex, Kay, Matthew, Hullman, Jessica

    “…Uncertainty visualizations often emphasize point estimates to support magnitude estimates or decisions through visual comparison. However, when design choices…”
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  12. 12

    Hypothetical Outcome Plots Help Untrained Observers Judge Trends in Ambiguous Data by Kale, Alex, Nguyen, Francis, Kay, Matthew, Hullman, Jessica

    “…Animated representations of outcomes drawn from distributions (hypothetical outcome plots, or HOPs) are used in the media and other public venues to…”
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  13. 13

    What to Consider When Considering Differential Privacy for Policy by Nanayakkara, Priyanka, Hullman, Jessica

    “…Differential privacy (DP) is a mathematical definition of privacy that can be widely applied when publishing data. DP has been recognized as a potential means…”
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  14. 14

    Visualization Rhetoric: Framing Effects in Narrative Visualization by Hullman, J., Diakopoulos, N.

    “…Narrative visualizations combine conventions of communicative and exploratory information visualization to convey an intended story. We demonstrate…”
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    Are We Closing the Loop Yet? Gaps in the Generalizability of VIS4ML Research by Subramonyam, Hariharan, Hullman, Jessica

    “…Visualization for machine learning (VIS4ML) research aims to help experts apply their prior knowledge to develop, understand, and improve the performance of…”
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  16. 16

    Causal Quartets: Different Ways to Attain the Same Average Treatment Effect by Gelman, Andrew, Hullman, Jessica, Kennedy, Lauren

    Published in The American statistician (02-07-2024)
    “…The average causal effect can often be best understood in the context of its variation. We demonstrate with two sets of four graphs, all of which represent the…”
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  17. 17

    Design Patterns and Trade‐Offs in Responsive Visualization for Communication by Kim, Hyeok, Moritz, Dominik, Hullman, Jessica

    Published in Computer graphics forum (01-06-2021)
    “…Increased access to mobile devices motivates the need to design communicative visualizations that are responsive to varying screen sizes. However, relatively…”
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  18. 18

    Keeping Multiple Views Consistent: Constraints, Validations, and Exceptions in Visualization Authoring by Zening Qu, Hullman, Jessica

    “…Visualizations often appear in multiples, either in a single display (e.g., small multiples, dashboard) or across time or space (e.g., slideshow, set of…”
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    Visualizing Uncertainty in Probabilistic Graphs with Network Hypothetical Outcome Plots (NetHOPs) by Zhang, Dongping, Adar, Eytan, Hullman, Jessica

    “…Probabilistic graphs are challenging to visualize using the traditional node-link diagram. Encoding edge probability using visual variables like width or…”
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  20. 20

    Illusion of Causality in Visualized Data by Xiong, Cindy, Shapiro, Joel, Hullman, Jessica, Franconeri, Steven

    “…Students who eat breakfast more frequently tend to have a higher grade point average. From this data, many people might confidently state that a before-school…”
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