mlsanityData to 14 Oct 2026

Analysis of Human Perception in Distinguishing Real and AI-Generated Faces: An Eye-Tracking Based Study

arXiv 2409.15498 ↗First posted 23 Sep 2024cs.CVcited by 1

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Abstract (arXiv)

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.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 14 of its 29 references that are in the map. First posted on arXiv 23 Sep 2024.

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14 of 29 references.

References · 14

  1. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,863
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  3. 2021Zero-Shot Text-to-Image Generationcited by 4,288
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  9. 2021Alias-Free Generative Adversarial Networkscited by 1,184
  10. 2021CYBORG: Blending Human Saliency Into the Loss Improves Deep Learningcited by 33
  11. 2021More Real than Real: A Study on Human Visual Perception of Synthetic Facescited by 23
  12. 2021A Study of the Human Perception of Synthetic Facescited by 14
2 more
  1. 2020The eyes know it: FakeET -- An Eye-tracking Database to Understand Deepfake Perceptioncited by 8
  2. 2020Factuality Checking in News Headlines with Eye Trackingcited by 5

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Citing papers per year: 2025: 1.

1 paper.

  1. 2025Shifts in Doctors' Eye Movements Between Real and AI-Generated Medical Imagescited by 1