Communicative effectiveness of artificial intelligence-generated graphic design

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Published: 2025-12-30

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Rafael Braza Delgado
Universidad de Cádiz
Spain
https://orcid.org/0009-0005-7740-2221
Vol. 29 No. 2 (2025), Monograph December 2025. Artificial Intelligence in service of strategy, pages 180-199

DOI:

https://doi.org/10.17979/redma.2025.29.2.12593
Submitted: 2025-09-04 Published: 2025-12-30
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Abstract

This study systematically reviews the scientific production (2010-2025) on graphic design generated by artificial intelligence (AI), assessing its communicative effectiveness in terms of attention, persuasion, and recall. Based on a corpus of 250 documents indexed in WoS and Scopus, it applies a mixed methodology grounded in PRISMA and structural bibliometric analysis. The analysis reveals a shift from isolated computational approaches toward interdisciplinary frameworks integrating computer vision, persuasive communication, and media cognition. Stable semantic patterns, collaborative networks, and persistent methodological gaps are identified, particularly concerning the empirical evaluation of visual impact on users. Findings also show that AI reshapes aesthetics and alters perceptions of authenticity. The study’s contribution lies in constructing an integrative conceptual framework linking computational and psychocognitive metrics, offering replicable guidelines and a critical reading of automated design.

Keywords:

algorithmic image generation, artificial intelligence, automated graphic design, persuasive communication, visual attention, visual neurocognition

Article Details

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