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Decoupling Judgment and Decision Making: A Tale of Two Tails

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Abstract

Is it true that if citizens understand hurricane probabilities, they will make more rational decisions for evacuation? Finding answers to such questions is not straightforward in the literature because the terms 'judgment' and 'decision making' are often used interchangeably. This terminology conflation leads to a lack of clarity on whether people make suboptimal decisions because of inaccurate judgments of information conveyed in visualizations or because they use alternative yet currently unknown heuristics. To decouple judgment from decision making, we review relevant concepts from the literature and present two preregistered experiments (N = 601) to investigate if the task (judgment versus decision making), the scenario (sports versus humanitarian), and the visualization (quantile dotplots, density plots, probability bars) affect accuracy. While experiment 1 was inconclusive, we found evidence for a difference in experiment 2. Contrary to our expectations and previous research, which found decisions less accurate than their direct-equivalent judgments, our results pointed in the opposite direction. Our findings further revealed that decisions were less vulnerable to status-quo bias, suggesting decision makers may disfavor responses associated with inaction. We also found that both scenario and visualization types can influence people's judgments and decisions. Although effect sizes are not large and results should be interpreted carefully, we conclude that judgments cannot be safely used as proxy tasks for decision making, and discuss implications for visualization research and beyond. Materials and preregistrations are available at https://osf.io/ufzp5/?view_only=adc0f78a23804c31bf7fdd9385cb264f.

Original languageEnglish
Pages (from-to)6928-6940
Number of pages13
JournalIEEE Transactions on Visualization and Computer Graphics
Volume30
Issue number10
Early online date2023
DOIs
Publication statusPublished - Oct 2024

Bibliographical note

Publisher Copyright:
IEEE

Funding

This work was supported by the Department of Information and Computing Sciences at Utrecht University.

Funders
department of Information and Computing Sciences at Utrecht University

    Keywords

    • behavioral economics
    • data
    • decision making
    • experiment
    • judgment
    • psychology
    • visualization

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