量化参与陷阱：短视频推荐系统对ADHD用户的影响
Quantifying the Engagement Trap: Impact of Short-form Video Recommender Systems on Users with ADHD
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中文总结 AI 辅助
本研究通过302名参与者的分层实验，提出“参与陷阱”概念，量化了短视频推荐系统对ADHD用户造成的时间盲视、后悔和情绪困扰等不成比例的负面影响，并倡导神经包容性设计。
中文摘要 AI 辅助
短视频平台利用推荐系统通过高效个性化推荐最大化用户参与度。然而，与无ADHD用户相比，这些推荐对ADHD用户的影响仍未得到充分探索。通过本研究，我们引入并操作化了“参与陷阱”概念，说明推荐系统在成功优化参与度的同时，如何不成比例地损害ADHD用户。这项分层研究招募了302名参与者，通过在线平台Prolific招募，比较了有ADHD和无ADHD参与者的体验。我们的结果显示，尽管各群体都认为推荐具有相关性，但ADHD参与者在消费推荐内容时报告了显著更高程度的时间盲视、使用后后悔和情绪困扰。此外，我们收集了针对神经包容性设计原则的若干概念性理论设计干预的反馈。这些发现为参与度优化的推荐系统中的系统性差异提供了定量证据，并突显了这些系统为ADHD参与者创造的不平衡负面影响和交互。我们主张采用神经多样性意识、以人为本的设计方法，以减轻此类算法危害并支持更公平的体验。
英文摘要
Short-form video platforms use recommender systems to maximize engagement through highly efficient personalized recommendations. However, the impact of these recommendations on users with ADHD compared to users without ADHD remains underexplored. Through this study, we introduce and operationalize the Engagement Trap, illustrating how recommender systems, while successfully optimizing for engagement, disproportionately disadvantage users with ADHD. This stratified study of 302 participants, recruited via the online platform Prolific, compares experiences between participants with and without ADHD. Our results show that while recommendations are perceived as relevant across groups, participants with ADHD report significantly higher levels of time blindness, post-usage regret, and emotional distress when consuming recommendations. Moreover, we collect feedback for several proof-of- concept, theoretical design interventions for neuro-inclusive design principles. These findings provide quantitative evidence of systemic differences in engagement-optimized recommender systems and highlight the unbalanced negative effects and interactions these systems create for participants with ADHD. We argue for neurodiversity-aware, human-centered design approaches that mitigate such algorithmic harms and support more equitable experiences.
发表机构
- Graz University of Technology（格拉茨技术大学）
机构由 AI 辅助整理，请以论文原文为准。
