arXiv:2502.08766cs.CYcs.HC2025-02被引 10

通过手机解锁行为预测大学生心理健康,发现使用差异与性别地域相关。

Unlocking Mental Health: Exploring College Students' Well-being through Smartphone Behaviors

  • 基于四年内被动采集的手机数据,分析解锁行为与心理状态关系。
  • 首次证实手机解锁模式可有效预测心理健康状况,具有显著预测力。
  • 揭示男女及不同地区学生使用习惯差异,助力精准干预设计。

全球心理健康危机日益严峻,大学生群体尤为脆弱。智能手机在青年群体中广泛使用,虽带来便利,却也与成瘾、后悔等负面结果相关,严重影响福祉。本研究利用长达四年、覆盖整个大学阶段的纵向被动移动传感数据,首次在真实世界环境中大规模探究学生手机解锁行为与其心理健康的关系。研究提供了首个证据,证明手机解锁行为可有效预测心理健康结果,凸显此类新型特征在构建未来预测模型中的潜力。研究发现,不同性别和地理区域的学生在手机使用上存在显著差异,深化了对数字行为与心理健康相互作用的理解。论文还指出了未来研究方向,旨在缓解负面影响并促进该群体的数字健康。

原文摘要 · Abstract (English)

The global mental health crisis is a pressing concern, with college students particularly vulnerable to rising mental health disorders. The widespread use of smartphones among young adults, while offering numerous benefits, has also been linked to negative outcomes such as addiction and regret, significantly impacting well-being. Leveraging the longest longitudinal dataset collected over four college years through passive mobile sensing, this study is the first to examine the relationship between students' smartphone unlocking behaviors and their mental health at scale in real-world settings. We provide the first evidence demonstrating the predictability of phone unlocking behaviors for mental health outcomes based on a large dataset, highlighting the potential of these novel features for future predictive models. Our findings reveal important variations in smartphone usage across genders and locations, offering a deeper understanding of the interplay between digital behaviors and mental health. We highlight future research directions aimed at mitigating adverse effects and promoting digital well-being in this population.

心理健康手机行为大学生预测模型

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