构建首个融合心理特征与说服力评分的图像数据集
PVP: An Image Dataset for Personalized Visual Persuasion with Persuasion Strategies, Viewer Characteristics, and Persuasiveness Ratings
- 收集28,454张图像，关联596条信息与9种说服策略
- 包含2,521名用户的心理特征与图像说服力评分
- 支持个性化图像生成与自动评估，适合广告与传播研究
视觉说服通过视觉元素影响认知与行为，在广告与政治传播中至关重要。随着人工智能发展，自动化生成针对个体的说服性图像成为可能，但关键瓶颈在于缺乏将图像说服力与评价者个人特征关联的数据集。为此，我们发布个性化视觉说服（PVP）数据集，包含28,454张说服性图像，覆盖596条信息和9种说服策略。该数据集提供2,521名人工标注者的说服力评分，以及其人口统计学与心理特征（人格特质与价值观）。我们基于此构建了说服性图像生成器与自动评估模型，并建立基准。实验表明，引入心理特征可显著提升图像生成与评估效果，为个性化视觉说服提供了重要支持。
原文摘要 · Abstract (English)
Visual persuasion, which uses visual elements to influence cognition and behaviors, is crucial in fields such as advertising and political communication. With recent advancements in artificial intelligence, there is growing potential to develop persuasive systems that automatically generate persuasive images tailored to individuals. However, a significant bottleneck in this area is the lack of comprehensive datasets that connect the persuasiveness of images with the personal information about those who evaluated the images. To address this gap and facilitate technological advancements in personalized visual persuasion, we release the Personalized Visual Persuasion (PVP) dataset, comprising 28,454 persuasive images across 596 messages and 9 persuasion strategies. Importantly, the PVP dataset provides persuasiveness scores of images evaluated by 2,521 human annotators, along with their demographic and psychological characteristics (personality traits and values). We demonstrate the utility of our dataset by developing a persuasive image generator and an automated evaluator, and establish benchmark baselines. Our experiments reveal that incorporating psychological characteristics enhances the generation and evaluation of persuasive images, providing valuable insights for personalized visual persuasion.
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