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Infographic Aesthetics: Designing for the First Impression

Authors:

Lane Harrison,

Katharina Reinecke,

Remco ChangAuthors Info & Claims

CHI '15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems

Pages 1187 - 1190

https://doi.org/10.1145/2702123.2702545

Published: 18 April 2015 Publication History

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Abstract

Information graphics, or infographics, combine elements of data visualization with design and have become an increasingly popular means for disseminating data. While several studies have suggested that aesthetics in visualization and infographics relate to desirable outcomes like engagement and memorability, it remains unknown how quickly aesthetic impressions are formed, and what it is that makes an infographic appealing. We address these questions by analyzing 1,278 participants' ratings on appeal after seeing infographics for 500ms. Our results establish that: 1) people form a reliable first impression of the appeal of an infographic based on a mere exposure effect, 2) this first impression is largely based on colorfulness and visual complexity, and 3) age, gender, and education level influence the preferred level of colorfulness and complexity. More generally, these findings suggest that outcomes such as engagement and memorability might be determined much earlier than previously thought.

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Polanco Martínez FMontolío Durán EGarcía Asensio M(2024)Ciencias del comportamiento, acicates (nudges) y lingüística conductual. La acción lingüística al servicio de una comunicación institucional claraAsterisco: Revista de lingüística española10.14201/ast.20242791012(79-101)Online publication date: 3-May-2024
https://doi.org/10.14201/ast.2024279101
Duan WMcNeese NFreeman GLi L(2024)Mitigating Gender Stereotypes Toward AI Agents Through an eXplainable AI (XAI) ApproachProceedings of the ACM on Human-Computer Interaction10.1145/36869698:CSCW2(1-35)Online publication date: 8-Nov-2024
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Xiao SHuang SLin YYe YZeng W(2024)Let the Chart Spark: Embedding Semantic Context into Chart with Text-to-Image Generative ModelIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332691330:1(284-294)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TVCG.2023.3326913
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Index Terms

Infographic Aesthetics: Designing for the First Impression
1. Human-centered computing

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Published In

CHI '15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems

April 2015

4290 pages

ISBN:9781450331456

DOI:10.1145/2702123

General Chairs:
Bo Begole
Huawei, USA
,
Jinwoo Kim
Yonsei University, Korea
,
Program Chairs:
Kori Inkpen
Microsoft Research, USA
,
Woontack Woo
KAIST, Korea

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 April 2015

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CHI '15

Sponsor:

SIGCHI

CHI '15: CHI Conference on Human Factors in Computing Systems

April 18 - 23, 2015

Seoul, Republic of Korea

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CHI '15 Paper Acceptance Rate 486 of 2,120 submissions, 23%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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CHI 2025

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ACM CHI Conference on Human Factors in Computing Systems

April 26 - May 1, 2025

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https://doi.org/10.14201/ast.2024279101
Duan WMcNeese NFreeman GLi L(2024)Mitigating Gender Stereotypes Toward AI Agents Through an eXplainable AI (XAI) ApproachProceedings of the ACM on Human-Computer Interaction10.1145/36869698:CSCW2(1-35)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3686969
Xiao SHuang SLin YYe YZeng W(2024)Let the Chart Spark: Embedding Semantic Context into Chart with Text-to-Image Generative ModelIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332691330:1(284-294)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TVCG.2023.3326913
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Marcelle PArslan OBalogun ADash M(2024)A bibliometric exploration of infographics as tools for visual literacy in educationJournal of Visual Literacy10.1080/1051144X.2024.234938143:2(173-195)Online publication date: 7-May-2024
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