The growing prevalence of realistic AI-generated videos on media platforms increasingly blurs the line between fact and fiction, eroding public trust. Understanding how people watch AI-generated videos offers a human-centered perspective for improving AI detection and guiding advancements in video generation. However, existing studies have not investigated human gaze behavior in response to AI-generated videos of physical scenes. Here, we collect and analyze the eye movements from 40 participants during video understanding and AI detection tasks involving a mix of real-world and AI-generated videos. We find that given the high realism of AI-generated videos, gaze behavior is driven less by the video's actual authenticity and more by the viewer's perception of its authenticity. Our results demonstrate that the mere awareness of potential AI generation may alter media consumption from passive viewing into an active search for anomalies.

翻译：媒体平台上日益增多的逼真AI生成视频正不断模糊事实与虚构的界限，侵蚀公众信任。理解人们如何观看AI生成视频，为改进AI检测和指导视频生成技术的发展提供了以人为中心的视角。然而，现有研究尚未探讨人类对物理场景AI生成视频的注视行为。本研究通过收集和分析40名参与者在视频理解与AI检测任务中的眼动数据（任务包含真实世界视频与AI生成视频的混合素材），发现：鉴于AI生成视频的高度真实性，注视行为较少由视频的实际真实性驱动，而更多取决于观看者对其真实性的主观判断。我们的结果表明，仅仅意识到内容可能由AI生成，就足以将媒体消费从被动观看转变为对异常特征的主动搜寻。