Behavioral Dynamics of IoT-Triggered Smartphone and Social Media Addiction: A Quantitative Study Using Global Data Analysis.
Description
This study explores how impulsivity and the pervasive nature of IoT notifications contribute to smartphone and social media addiction. Leveraging a synthetic dataset of 500 users across diverse demographics, it models the relationship between behavioral traits—such as impulsivity and FoMO—and environmental triggers like notification frequency. Results show strong correlations between device use, impulsivity, and addiction severity, with significant predictive power. These findings highlight the need for thoughtful digital design, therapeutic interventions, and policy frameworks to address the growing public health concern of tech-induced behavioral dependency.
Files
Steps to reproduce
This paper investigates the behavioral interplay between impulsivity, real-time IoT notifications, and smartphone/social media overuse. Using a synthetic dataset of 500 individuals across 10 countries, the study explores how impulsivity traits and environmental triggers—particularly push notifications—influence addiction severity. Statistical analyses reveal significant correlations between high impulsivity scores, FoMO levels, and daily screen time with increased addiction severity. The findings support the use of targeted digital interventions, impulse regulation training, and regulatory policy design.
Institutions
- North South University