Unmasking Dunning-Kruger Effect in Visual Reasoning & Judgment

The Dunning-Kruger Effect (DKE) is a metacognitive phenomenon where low-skilled individuals tend to overestimate their competence while high-skilled individuals tend to underestimate their competence. This effect has been observed in a number of domains including humor, grammar, and logic. In this paper, we explore if and how DKE manifests in visual reasoning and judgment tasks. Across two online user studies involving (1) a sliding puzzle game and (2) a scatterplot-based categorization task, we demonstrate that individuals are susceptible to DKE in visual reasoning and judgment tasks: those who performed best underestimated their performance, while bottom performers overestimated their performance. In addition, we contribute novel analyses that correlate susceptibility of DKE with personality traits and user interactions. Our findings pave the way for novel modes of bias detection via interaction patterns and establish promising directions towards interventions tailored to an individual's personality traits. All materials and analyses are in supplemental materials: https://github.com/CAV-Lab/DKE_supplemental.git.

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Publication Details

Journal
IEEE Transactions on Visualization and Computer Graphics
Published
2024-09-17
DOI
https://doi.org/10.1109/tvcg.2024.3456326
Citations
4
Primary Topic
Decision-Making and Behavioral Economics
Type
article
Field-Weighted Citation Impact
2.14
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article

Unmasking Dunning-Kruger Effect in Visual Reasoning & Judgment

Emily Wall, Shuaicheng Liu, Mengyu Chen
4 citations
IEEE Transactions on Visualization and Computer Graphics
Decision-Making and Behavioral Economics
2.14
article

Unmasking Dunning-Kruger Effect in Visual Reasoning & Judgment

Emily Wall, Shuaicheng Liu, Mengyu Chen
article en
4 citations

Abstract

The Dunning-Kruger Effect (DKE) is a metacognitive phenomenon where low-skilled individuals tend to overestimate their competence while high-skilled individuals tend to underestimate their competence. This effect has been observed in a number of domains including humor, grammar, and logic. In this paper, we explore if and how DKE manifests in visual reasoning and judgment tasks. Across two online user studies involving (1) a sliding puzzle game and (2) a scatterplot-based categorization task, we demonstrate that individuals are susceptible to DKE in visual reasoning and judgment tasks: those who performed best underestimated their performance, while bottom performers overestimated their performance. In addition, we contribute novel analyses that correlate susceptibility of DKE with personality traits and user interactions. Our findings pave the way for novel modes of bias detection via interaction patterns and establish promising directions towards interventions tailored to an individual's personality traits. All materials and analyses are in supplemental materials: https://github.com/CAV-Lab/DKE_supplemental.git.

IEEE Transactions on Visualization and Computer GraphicsVol. 31(1)
Emory University (US)
Openalex Percentile: Top 13%
Decision-Making and Behavioral Economics
2.14
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