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：随着媒体平台上逼真AI生成视频的日益普及，事实与虚构之间的界限愈发模糊，公众信任度逐渐被侵蚀。理解人们如何观看AI生成的视频，为改进AI检测技术及引导视频生成领域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在面对物理场景AI生成视频时的注视行为。本文收集并分析了40名参与者在视频理解与AI检测任务中的眼动数据，这些任务包含真实视频与AI生成视频的混合样本。研究发现，鉴于AI生成视频的高逼真度，注视行为受视频实际真实性的驱动较弱，而更显著地受观者对其真实性的主观感知影响。我们的结果表明，仅知晓潜在AI生成的可能性，就可能将媒体消费从被动观看转变为主动寻找异常的行为。