无法停止：情境与个体特质如何影响短视频平台上不同渐进式干预对无限滚动的效果
Can't Stop: How Context and Individual Traits Influence Effectiveness of Different Gradual Interventions for Infinite Scrolling on Short-Form Video Platforms
AI总结：
研究短视频平台无限滚动问题，通过7天受试者内随机现场研究，比较基线弹出窗口和两种设计摩擦干预，发现干预方式及个体自我调节差异影响效果，视觉渐进干预持续主观评分久，高冲动者对不同干预反应差异大。
AI中文摘要：
像TikTok这样的短视频平台上的无限滚动会导致长时间参与和使用后的后悔。干预措施旨在减轻这种行为，但其效果可能取决于干预类型、情境因素和个体特质之间的相互作用。在一项为期7天的受试者内随机现场研究（N = 104）中，我们比较了基线弹出窗口和两种逐渐增强的设计摩擦（视觉和触觉）。我们使用客观和主观测量方法评估行为变化和用户体验。结果表明，弹出窗口最初有效，但很快失去影响，而视觉渐进式干预持续主观评分的时间最长。贝叶斯建模显示，自我调节特质调节了参与者对三种干预类型的反应。对于低冲动性的参与者，干预类型对其主观效果影响不大。然而，对于高冲动性的参与者，干预类型之间的差异很大，与新颖的渐进式干预相比，明确的基线弹出窗口最有效。相比之下，情境因素影响较小。这些发现表明，干预方式和自我调节的个体差异塑造了干预效果。
英文摘要：
Infinite scrolling on short-form video platforms like TikTok encourages prolonged engagement and post-usage regret. Interventions aim to mitigate such behavior, but their effectiveness may depend on the interplay between intervention type, contextual factors, and individual traits. In a 7-day within-subject randomized field study (N=104), we compared a baseline pop-up and two gradually intensifying design frictions (visual and haptic). We evaluated behavioral changes and user experience using objective and subjective measures. Results showed that the pop-up was initially effective but quickly lost impact, whereas the visual gradual intervention sustained subjective ratings the longest. Bayesian modeling revealed that self-regulation traits moderate how participants responded to the three intervention types. For participants with low impulsivity, the type of intervention had little influence on its subjective effectiveness. For participants with high impulsivity, however, differences between intervention types were substantial, with the explicit baseline pop-up being most effective compared to the novel gradual interventions. Contextual factors, in contrast, showed little influence. These findings suggest that intervention modality and individual differences in self-regulation shape intervention effectiveness.
