Daniel G. Goldstein

schoolMicrosoftbar_chart#1647 Global Rank

Total Papers

HCI Rank

#1647

Research Areas

Years Active

Recent Publications

Effects of LLM-based Search on Decision Making: Speed, Accuracy, and Overreliance

Recent advances in large language models (LLMs) are transforming online applications, including search tools that accommodate complex natural language queries and provide direct responses. There are, however, concerns about the veracity of LLM-generated content due to potential for LLMs to "hallucinate". In two online…

CHI '242nd AuthorInteractive Data Visualization +2

Using Open Data to Automatically Generate Localized Analogies

Numerical analogies (or "perspectives") that translate unfamiliar measurements into comparisons with familiar reference objects (e.g., "275,000 square miles is roughly as large as Texas") have been shown to aid readers' recall, estimation, and error detection for numbers. However, because familiar reference objects ar…

CHI '223rd AuthorHonorable MentionVisualization Perception & Cognition

Investigating Perceptual Biases in Icon Arrays

Icon arrays are graphical displays in which a subset of identical shapes are filled to convey probabilities. They are widely used for communicating probabilities to the general public. A primary design decision concerning icon arrays is how to fill and arrange these shapes. For example, a designer could fill the shape…

CHI '22CorrespondingData Storytelling +1

Round Numbers Can Sharpen Cognition

Scientists and journalists strive to report numbers with high precision to keep readers well-informed. Our work investigates whether this practice can backfire due to the cognitive costs of processing multi-digit precise numbers. In a pre-registered randomized experiment, we presented readers with several news stories…

CHI '202nd AuthorHonorable MentionUncertainty Visualization +1

How Visualizing Inferential Uncertainty Can Mislead Readers About Treatment Effects in Scientific Results

When presenting visualizations of experimental results, scientists often choose to display either inferential uncertainty (e.g., uncertainty in the estimate of a population mean) or outcome uncertainty (e.g., variation of outcomes around that mean) about their estimates. How does this choice impact readers' beliefs ab…

CHI '18CorrespondingData Storytelling +1

To Put That in Perspective: Generating Analogies that Make Numbers Easier to Understand

Laypeople are frequently exposed to unfamiliar numbers published by journalists, social media users, and algorithms. These figures can be difficult for readers to comprehend, especially when they are extreme in magnitude or contain unfamiliar units. Prior work has shown that adding "perspective sentences" that emplo…

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