AI生成情绪图像与人类感受的匹配度如何？
Level of agreement between emotions generated by Artificial Intelligence and human evaluation: a methodological proposal
- 用StyleGAN2-ADA生成80幅情绪景观图，分正负情绪四类
- 61人评估显示负面情绪匹配度更高，整体一致性良好
- 揭示情绪评价主观性，适合关注AI情感生成的研究者
图像能够传递情绪，但情绪体验具有高度主观性。人工智能的进步使得可根据情绪描述生成图像，但生成图像与人类情绪反应之间的匹配程度尚未被评估。为此，使用StyleGAN2-ADA生成了20幅艺术风景图，每张图生成四种情绪变体（愉悦、满足、恐惧、悲伤），共80张图片。设计在线问卷，由61名观察者对生成图像进行分类。通过对收集数据进行统计分析，评估参与者之间、观察者反应与AI生成情绪之间的一致性水平。结果显示总体上存在较好的一致性，负面情绪的匹配效果更优。然而研究也证实了情绪评估固有的主观性。
原文摘要 · Abstract (English)
Images are capable of conveying emotions, but emotional experience is highly subjective. Advances in artificial intelligence have enabled the generation of images based on emotional descriptions. However, the level of agreement between the generative images and human emotional responses has not yet been evaluated. To address this, 20 artistic landscapes were generated using StyleGAN2-ADA. Four variants evoking positive emotions (contentment, amusement) and negative emotions (fear, sadness) were created for each image, resulting in 80 pictures. An online questionnaire was designed using this material, in which 61 observers classified the generated images. Statistical analyses were performed on the collected data to determine the level of agreement among participants, between the observer's responses, and the AI-generated emotions. A generally good level of agreement was found, with better results for negative emotions. However, the study confirms the subjectivity inherent in emotional evaluation.
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