Behavioral Classification of Mobile Device Users in Digital Communication Contexts

This study investigates patterns of mobile device usage and their association with digital communication behavior through a behavioral segmentation approach. Grounded in the Uses and Gratifications (U&G) theory and the Technology Acceptance Model (TAM), the research classifies users based on multidimensional interaction metrics such as screen time, app usage frequency, and engagement regularity. A descriptive-analytical methodology was employed using a large-scale behavioral dataset, allowing for both empirical clustering and theoretical interpretation. The analysis identified five distinct user categories that reflect varying degrees of digital engagement, ranging from utilitarian users to habitual and emotionally invested users. The findings indicate that motivations such as information-seeking, entertainment, social connectivity, and habitual usage play significant roles in shaping mobile usage patterns.