用眼动追踪研究人如何分辨真实与AI生成人脸
Analysis of Human Perception in Distinguishing Real and AI-Generated Faces: An Eye-Tracking Based Study
- 通过眼动实验分析人类辨别真假人脸的视觉行为
- 参与者平均准确率达76.80%，能识别出StyleGAN-3生成的人脸
- 怀疑图像为假时，会更仔细观察细节
人工智能在生成逼真人脸方面取得显著进展，但也引发对图像滥用的担忧。本研究设计了一项基于眼动追踪的感知实验，探究人类如何区分真实与AI生成的人脸。通过对StyleGAN-3生成图像的分析发现，参与者平均准确率达到76.80%。此外，当个体怀疑某张图像为伪造时，会更加细致地审视图像。该研究为理解人类对AI生成媒体的感知提供了重要见解。
原文摘要 · Abstract (English)
Recent advancements in Artificial Intelligence have led to remarkable improvements in generating realistic human faces. While these advancements demonstrate significant progress in generative models, they also raise concerns about the potential misuse of these generated images. In this study, we investigate how humans perceive and distinguish between real and fake images. We designed a perceptual experiment using eye-tracking technology to analyze how individuals differentiate real faces from those generated by AI. Our analysis of StyleGAN-3 generated images reveals that participants can distinguish real from fake faces with an average accuracy of 76.80%. Additionally, we found that participants scrutinize images more closely when they suspect an image to be fake. We believe this study offers valuable insights into human perception of AI-generated media.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。