Form over function: an analysis of Midjourney-generated infographics

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DOI:

https://doi.org/10.51358/id.v21i3.1180

Abstract

Text-to-image generative models are a topic of great discussion in design. Seeking to understand the potential impact of these technologies on graphic design, this think piece paper presents preliminary insights from an explorative study that looked at 23 infographics generated by the popular platform Midjourney in 2023. The results indicated that, while the Midjourney outputs were at first glance plausible, upon closer examination these failed to solve a design problem. The repetitive layouts, the unintelligible textual elements and the disregard for purpose, context and audience, indicated that Midjourney is not currently producing infographics as understood by the design community. While not definitive, this study intends to contribute to the ongoing discussions in the wider field of AI and graphic design.

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Author Biographies

Sara C Klohn Reader, Loughborough University

Sara C Klohn Reader is a lecturer and programme director of the graphic design programme at Loughborough University. Her interest relies on how we teach, learn, design and use information design artefacts; hence, she aligns her teaching practice with research in graphic design pedagogy, with a special curiosity on infographics. Senior Fellow of the Higher Education, she also holds a PhD in Graphic Communication from the University of Reading.

Alis Iacob, Loughborough University

Interested in Design Pedagogy, User Interface Design, and generative technologies, Alis is an experienced academic and graphic design practitioner. Senior Fellow of the Higher Education Academy, Alis holds a PhD in Creativity Assessment from De Montfort University. She is also the Programme Leader of the MA Graphic Design and Visualisation course/ Loughborough University.

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Published

2024-12-13

How to Cite

C Klohn Reader, S., & Iacob, A. (2024). Form over function: an analysis of Midjourney-generated infographics. InfoDesign - Journal of Information Design, 21(3). https://doi.org/10.51358/id.v21i3.1180

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Articles