Curbing Excessive Smartphone Use through Precommitment Apps: A Multiple Discrete-Continuous Extreme Value Approach
研究了预承诺类屏蔽应用如何通过习惯形成机制减少冲动性手机使用，发现灵活策略优于刚性策略，且效果受性别和年龄调节，对政策制定者和企业有指导意义。
The issue of smartphone addiction has been extensively studied, yet there is a lack of exploration into effective solutions to mitigate the impulsivity and temptation induced by these addictive technologies. Despite the proliferation of precommitment-based blocking apps introduced by major smartphone manufacturers, little is known about their effectiveness in curbing compulsive mobile indulgence—particularly among users with varying capacities for self-regulation. Drawing on a rational habit-formation framework, this study investigates how precommitment measures reduce susceptibility to mobile temptation over time, with particular attention to app characteristics, precommitment modes, and individual differences. To empirically validate our framework, we employ a structural model using a multiple discrete-continuous extreme value (MDCEV) approach, which endogenizes individuals’ choices of blocker modes (rigid vs. flexible) and simultaneously examines their app usage behaviors. Our unique dataset—capturing consumer app consumption with and without blocking features active—reveals that consistent use of precommitment apps not only fosters positive habit formation but also significantly reduces compulsive app usage across both hedonic and utilitarian categories. Furthermore, we find that flexible precommitment strategies outperform their rigid counterparts in reducing utilitarian app usage. Individual factors, such as gender and age, are found to play a moderating role in the efficacy of these precommitment strategies. Counterfactual simulations reveal that users who build stronger habit stock through repeated blocker use exhibit significantly lower app usage even after the tool is removed. Scaling the analysis to the population level further shows that expanding access to precommitment devices meaningfully reduces overall smartphone engagement and enhances digital well-being. Based on these empirical findings, we derived implications that can guide policymakers and managers in address excessive mobile dependence in public and workplace environments.