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Related Experiment Video

Updated: Dec 4, 2025

Visualizing Visual Adaptation
04:43

Visualizing Visual Adaptation

Published on: April 24, 2017

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Revealing Perceptual Proxies with Adversarial Examples.

Brian D Ondov, Fumeng Yang, Matthew Kay

    IEEE Transactions on Visualization and Computer Graphics
    |October 23, 2020
    PubMed
    Summary
    This summary is machine-generated.

    People use visual shortcuts, called perceptual proxies, to interpret data visualizations instead of exact calculations. This study identifies which proxies influence perception in bar charts, aiding in creating more effective data displays.

    Related Experiment Videos

    Last Updated: Dec 4, 2025

    Visualizing Visual Adaptation
    04:43

    Visualizing Visual Adaptation

    Published on: April 24, 2017

    9.4K

    Area of Science:

    • Human-Computer Interaction
    • Cognitive Psychology
    • Data Visualization

    Background:

    • Data visualizations translate numerical data into visual representations.
    • The human visual system interprets these visuals using perceptual proxies (heuristic shortcuts) rather than direct computation.
    • Understanding these proxies is crucial for designing effective visualizations.

    Purpose of the Study:

    • To measure the power of candidate perceptual proxies in explaining human performance when comparing data series in bar charts.
    • To identify which visual shortcuts viewers employ when interpreting data visualizations.
    • To investigate individual differences in proxy usage.

    Main Methods:

    • Conducted crowdsourced experiments comparing pairs of data series in bar charts.
    • Generated adversarial datasets pitting correct answers against visually misleading series based on candidate proxies.
    • Employed Bayesian logistic regression and Bayesian mixed-effects linear models to analyze viewer responses.
    • Utilized iterative crowdsourcing for black-box optimization to construct adversarial datasets.

    Main Results:

    • Quantified the influence of specific perceptual proxies on viewer interpretation of bar chart data.
    • Determined the extent to which adversarial proxies could lead to incorrect judgments.
    • Provided evidence for potential individual variations in the use of perceptual proxies.

    Conclusions:

    • Perceptual proxies significantly impact data interpretation in bar charts.
    • Identifying and understanding these proxies can inform the design of less ambiguous and more effective data visualizations.
    • Further research can leverage these findings to develop optimized visualization strategies.