Attention Trap? How Visual Motion Shapes Children's Screen Time and Engagement on Video Platforms

Children increasingly consume video content through platforms such as YouTube and YouTube Kids, yet the content-level drivers of their engagement remain poorly understood. Unlike adults, children rely less on social and participatory cues in digital media, suggesting that their attention may be shaped more directly by perceptual features. In this research, we investigate visual motion, quantified using optical flow, as a perceptual feature that shapes children’s engagement with digital video. Across three studies, we evaluate its influence using observational, field experimental, and behavioral data. In Study 1, we analyze more than 32,000 videos from leading children’s channels on YouTube and find that higher visual motion significantly predicts video viewership after accounting for a broad set of visual, audio, and affective characteristics. In Study 2, we create educational videos with experimentally manipulated background motion and deploy randomized advertising campaigns using YouTube’s A/B testing infrastructure. Videos with higher motion generate significantly higher view-rates and views, replicating the observational findings in a field setting. In Study 3, a lab-based eye-tracking experiment with children shows that visual motion increases screen engagement primarily by reducing the duration of long off-screen attentional lapses rather than reducing the frequency of attention breaks. Additional analyses show that motion increases attention to background regions without reducing attention to instructional content, a pattern more consistent with screen-level re-engagement than with the displacement of instructional attention. These findings identify visual motion as a perceptual mechanism that reduces prolonged disengagement by accelerating attentional re-orientation, with implications for the design and governance of child-directed media.

• 저널Information Systems Research
• 토픽Child Development and Digital Technology · Education
• DOI10.1287/isre.2023.0718
• 저자Sumeet Kumar, Madhu Viswanathan, Ravi Bapna