Perceptually Training Viewers against Misleading Data Visualizations with Informative feedback

Misleading visualizations are increasingly prevalent, with a surge in their negative impact on data interpretation, often leading to misunderstandings and poor decision-making. To address this issue, we investigate the impact of informative feedback within perceptual training targeting misleading visualizations. Our results show that informative feedback significantly enhances viewers' perceptual skills, improving both accuracy and efficiency in interpreting misleading data visualizations. Additionally, participants demonstrated a transfer effect, applying their developed perceptual skills to novel misleading visualizations beyond those encountered during training. These findings highlight the potential of perceptual training with informative feedback to strengthen viewers' resistance to misleading data visualizations, offering valuable insights for educational practices aimed at fostering viewers' resistance to misleading data visualizations.

Publication Details

Journal
eScholarship (California Digital Library)
Published
2025-01-01
Primary Topic
Machine Learning in Bioinformatics
Type
article
Field-Weighted Citation Impact
0.00

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article

Perceptually Training Viewers against Misleading Data Visualizations with Informative feedback

eScholarship (California Digital Library)
Machine Learning in Bioinformatics
article

Perceptually Training Viewers against Misleading Data Visualizations with Informative feedback

article en

Abstract

Misleading visualizations are increasingly prevalent, with a surge in their negative impact on data interpretation, often leading to misunderstandings and poor decision-making. To address this issue, we investigate the impact of informative feedback within perceptual training targeting misleading visualizations. Our results show that informative feedback significantly enhances viewers' perceptual skills, improving both accuracy and efficiency in interpreting misleading data visualizations. Additionally, participants demonstrated a transfer effect, applying their developed perceptual skills to novel misleading visualizations beyond those encountered during training. These findings highlight the potential of perceptual training with informative feedback to strengthen viewers' resistance to misleading data visualizations, offering valuable insights for educational practices aimed at fostering viewers' resistance to misleading data visualizations.

eScholarship (California Digital Library)
National Science Foundation
Peace, Justice and strong institutions
Openalex Percentile: Top 50%
Machine Learning in Bioinformatics
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Perceptually Training Viewers against Misleading Data Visualizations with Informative feedback · eScholarship (California Digital Library) (2025) | TGRS Research Map | TGRS