π€ AI Summary
This work addresses the attention fragmentation and public health concerns stemming from smartphone overuse by proposing the Digital White Space (DWS) framework, which uniquely integrates cyberpsychology theory with sociotechnical systems design. DWS establishes a comprehensive solution that balances user privacy with intervention efficacy through privacy-preserving data collection, on-device AIβdriven detection of addictive behaviors, lightweight intervention mechanisms, and designated signal-restricted zones in physical environments. By disrupting the addiction cycle fueled by intermittent rewards and persuasive design patterns, the framework aims to restore usersβ cognitive autonomy and offers a deployable systems-level pathway to enhance attentional control and psychological well-being.
π Abstract
Mobile-phone overuse and attention fragmentation have become pressing societal and public-health concerns. Cyberpsychology research highlights addictive engagement loops driven by intermittent rewards, persuasive design, and habit formation. In this editorial I synthesize current evidence on mobile-phone addiction and propose "Digital White Spaces" (DWS), a socio-technical framework that combines privacy-preserving monitoring, AI-driven detection of addictive loops, device-mode interventions, and physical signal-limited zones to restore cognitive autonomy.