Search Results - "Hullman, Jessica"
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Hypothetical Outcome Plots Outperform Error Bars and Violin Plots for Inferences about Reliability of Variable Ordering
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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The Science of Visual Data Communication: What Works
Published in Psychological science in the public interest (01-12-2021)“…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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Uncertain About Uncertainty: How Qualitative Expressions of Forecaster Confidence Impact Decision-Making With Uncertainty Visualizations
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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A Survey of Domain Knowledge Elicitation in Applied Machine Learning
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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Challenges in Incorporating Exploratory Data Analysis into Statistical Workflow
Published in Harvard data science review (30-07-2021)Get full text
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Designing for Interactive Exploratory Data Analysis Requires Theories of Graphical Inference
Published in Harvard data science review (23-07-2021)Get full text
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Information, incentives, and goals in election forecasts
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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Why Authors Don't Visualize Uncertainty
Published in IEEE transactions on visualization and computer graphics (01-01-2020)“…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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Some problems with zooming out as scientific reform
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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Leveraging Citation Networks to Visualize Scholarly Influence Over Time
Published in Frontiers in research metrics and analytics (27-11-2017)“…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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Visual Reasoning Strategies for Effect Size Judgments and Decisions
Published in IEEE transactions on visualization and computer graphics (01-02-2021)“…Uncertainty visualizations often emphasize point estimates to support magnitude estimates or decisions through visual comparison. However, when design choices…”
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Hypothetical Outcome Plots Help Untrained Observers Judge Trends in Ambiguous Data
Published in IEEE transactions on visualization and computer graphics (01-01-2019)“…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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What to Consider When Considering Differential Privacy for Policy
Published in Policy insights from the behavioral and brain sciences (01-10-2024)“…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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Visualization Rhetoric: Framing Effects in Narrative Visualization
Published in IEEE transactions on visualization and computer graphics (01-12-2011)“…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
Published in IEEE transactions on visualization and computer graphics (01-01-2024)“…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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Causal Quartets: Different Ways to Attain the Same Average Treatment Effect
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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Design Patterns and Trade‐Offs in Responsive Visualization for Communication
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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Keeping Multiple Views Consistent: Constraints, Validations, and Exceptions in Visualization Authoring
Published in IEEE transactions on visualization and computer graphics (01-01-2018)“…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)
Published in IEEE transactions on visualization and computer graphics (01-01-2022)“…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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Illusion of Causality in Visualized Data
Published in IEEE transactions on visualization and computer graphics (01-01-2020)“…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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