PVP：一个带有说服策略、观看者特征和说服力评分的个性化视觉说服图像数据集
PVP: An Image Dataset for Personalized Visual Persuasion with Persuasion Strategies, Viewer Characteristics, and Persuasiveness Ratings
AI总结：
针对个性化视觉说服领域缺乏关联图像说服力与评估者个人信息的综合数据集的问题，本文发布包含28454张图像、标注说服力分数及评估者多维度特征的PVP数据集，验证其效用并建立基准，发现纳入心理特征可提升相关生成与评估效果。
摘要：
视觉说服利用视觉元素影响认知和行为，在广告、政治传播等领域至关重要。随着人工智能的最新进展，开发可自动生成面向个体定制的说服性图像的说服系统的潜力日益增长。但该领域的一个重大瓶颈是，缺乏将图像说服力与图像评估者的个人信息相关联的综合数据集。为填补这一空白并推动个性化视觉说服的技术进步，我们发布了Personalized Visual Persuasion（PVP，个性化视觉说服）数据集，包含596条信息、9种说服策略下的28454张说服性图像。值得注意的是，PVP数据集提供了由2521名人类标注者评估的图像说服力分数，以及这些标注者的人口统计学和心理特征（人格特质与价值观）。我们通过开发一个说服性图像生成器和一个自动评估器验证了数据集的实用性，并建立了基准基线。实验表明，纳入心理特征可提升说服性图像的生成和评估效果，为个性化视觉说服提供了宝贵见解。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
