相似性(几何)
广告
计算机科学
人工智能
特征(语言学)
相似
变化(天文学)
序列(生物学)
集合(抽象数据类型)
背景(考古学)
作者
Arno De Caigny,Gudrun Roose
标识
DOI:10.1080/00218499.2025.2586185
摘要
Generative AI technologies enable advertising practitioners with new possibilities for hyper-personalized advertising. In this research note, we focus specifically on AI-generated faces (AGF) and investigate its effects on advertising effectiveness. This paper has three main contributions. First, it presents a methodologically innovative way to measure facial similarity by building advances in AI. Second, it contributes theoretically by introducing the too-similar-to-me effect in advertising. Third, it empirically assesses the optimal range of facial similarity, which is of managerial importance when building advertising campaigns. This study provides practitioners with key guidelines on how to successfully embed generative AI technology for advertising.
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