Visualizing Trust: How Chart Embellishments Influence Perceptions of Credibility

Effective data visualizations enhance perception, support cognitive processing, and facilitate informed decision-making by aligning with human perceptual strengths. Conversely, poorly designed visualizations can impede comprehension, introduce interpretive bias, and diminish the perceived credibility of the conveyed message. This paper investigates the extent to which visual embellishments influence perceived message credibility in data visualizations. We conducted two crowdsourced experiments to examine both holistic and component-level effects of embellishment. In the first experiment, participants evaluated the relative credibility of plain bar charts versus two embellished variants-cartoon-style and image-style-across topics. Participants provided both comparative judgments and qualitative feedback. In the second experiment, we systematically isolated the influence of specific design elements-color, font, and bar style-on credibility perceptions through controlled variations. Our findings reveal that the impact of embellishments on perceived message credibility is complex and context-dependent. While certain embellishments, such as the use of color and image style bars, enhanced credibility, others-most notably hand-drawn fonts and cartoon-style bars-significantly undermined it. By operationalizing trust through the lens of message credibility, this work offers empirical insight into the design factors that shape viewers' perceptions. We conclude by proposing actionable design guidelines to support the creation of visualizations that are effective for communication and credible.

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Publication Details

Journal
IEEE Transactions on Visualization and Computer Graphics
Published
2025-11-20
DOI
https://doi.org/10.1109/tvcg.2025.3634785
Primary Topic
Data Visualization and Analytics
Type
article
Field-Weighted Citation Impact
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article

Visualizing Trust: How Chart Embellishments Influence Perceptions of Credibility

Hayeong Song, Cindy Xiong, John Stasko, Aeree Cho
IEEE Transactions on Visualization and Computer Graphics
Data Visualization and Analytics
article

Visualizing Trust: How Chart Embellishments Influence Perceptions of Credibility

Hayeong Song, Cindy Xiong, John Stasko, Aeree Cho
article en

Abstract

Effective data visualizations enhance perception, support cognitive processing, and facilitate informed decision-making by aligning with human perceptual strengths. Conversely, poorly designed visualizations can impede comprehension, introduce interpretive bias, and diminish the perceived credibility of the conveyed message. This paper investigates the extent to which visual embellishments influence perceived message credibility in data visualizations. We conducted two crowdsourced experiments to examine both holistic and component-level effects of embellishment. In the first experiment, participants evaluated the relative credibility of plain bar charts versus two embellished variants-cartoon-style and image-style-across topics. Participants provided both comparative judgments and qualitative feedback. In the second experiment, we systematically isolated the influence of specific design elements-color, font, and bar style-on credibility perceptions through controlled variations. Our findings reveal that the impact of embellishments on perceived message credibility is complex and context-dependent. While certain embellishments, such as the use of color and image style bars, enhanced credibility, others-most notably hand-drawn fonts and cartoon-style bars-significantly undermined it. By operationalizing trust through the lens of message credibility, this work offers empirical insight into the design factors that shape viewers' perceptions. We conclude by proposing actionable design guidelines to support the creation of visualizations that are effective for communication and credible.

IEEE Transactions on Visualization and Computer GraphicsVol. 32(1)
Georgia Institute of Technology (US), Sandpiper Technologies (United States) (US), Risk Engineering (Bulgaria) (BG)
Openalex Percentile: Top 64%
Data Visualization and Analytics
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Visualizing Trust: How Chart Embellishments Influence Perceptions of Credibility — Hayeong Song, Cindy Xiong, et al. · IEEE Transactions on Visualization and Computer Graphics (2025) | TGRS Research Map | TGRS