Evaluating Visual Realism of AI-Generated Videos with Eye Tracking
arXiv:2610.38825v1 Announce Type: cross Abstract: Human evaluation of AI-generated videos has so far relied on explicit human feedback, such as judgments or ratings. While these signals capture the conclusions viewers reach, they fail to offer insights into the perception that leads to them. This paper investigates eye tracking as a complementary human evaluation signal for AI-generated videos. We conducted two Visual Turing Test (VTT) experiments with a total of 90 participants on videos gener…