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Impact of Phubbing and FOMO on Cognitive Overload in Married Couples

Introduction

Impact of phubbing and fomo on cognitive overload in married couples. Understand how phubbing and FOMO drive cognitive overload in married couples. This study reveals digital behaviors' psychological impact, emphasizing mindful technology use in intimate relationships.

Abstract

This quantitative research examines the psychological and relational effects of phubbing—the act of neglecting one’s partner in favor of mobile phone usage—and the fear of missing out (FOMO) on cognitive overload among married couples. It was hypothesized based on cognitive load theory and relational psychology and tested with correlation, multiple regressions. The sample was formed to include 200 married people with legal marriage partners who were between the ages of 21 and 55 years and lived with the spouse as well as being avoid smartphone users. The duration of marriage varied from 1 to 40 years. Participants who were undergoing divorce or separation, or who had been diagnosed with psychological or neurological disorders, were excluded to ensure the integrity of the sample. The findings indicated a strong positive correlation between FOMO and phubbing, thereby supporting Hypothesis 1. Regression analysis confirmed that both FOMO and phubbing were significant predictors of cognitive overload, thus validating Hypothesis 2. These findings underscore the cognitive and emotional repercussions of digital behaviors within marital relationships, highlighting the necessity for mindful technology use in intimate environments. Limitations include dependence on self-reported data, a gender-imbalanced sample, and a cross-sectional design, which limits causal inference. Future studies should explore longitudinal methods and more diverse samples to enhance the understanding of digital disruptions in relational contexts.

Review

The paper, "Impact of Phubbing and FOMO on Cognitive Overload in Married Couples," tackles a highly pertinent and contemporary issue concerning the pervasive influence of digital technology on intimate relationships. The researchers effectively explore the interplay between phubbing, the Fear of Missing Out (FOMO), and their combined impact on cognitive overload among married individuals. Grounded theoretically in cognitive load theory and relational psychology, the study's quantitative approach, utilizing correlation and multiple regression analyses, is appropriate for testing the proposed hypotheses. The clear articulation of hypotheses and their subsequent validation—specifically, the strong positive correlation between FOMO and phubbing, and both acting as significant predictors of cognitive overload—provides valuable insights into the psychological repercussions of digital distractions in marital contexts. The study's methodology, involving a sample of 200 legally married individuals within a relevant age range and with appropriate exclusion criteria, appears sound for an initial exploration of this complex phenomenon. However, the authors are commendably transparent in identifying key limitations. The reliance on self-reported data, while common, inherently introduces potential for biases such as social desirability. More critically, the acknowledgment of a gender-imbalanced sample raises concerns about the generalizability of the findings, suggesting that the observed effects might not be equally pronounced or experienced across genders. Furthermore, the cross-sectional design fundamentally limits the ability to infer direct causality, meaning that while strong associations are established, the definitive direction of influence cannot be fully determined. Despite these limitations, the study makes a significant and timely contribution to understanding the evolving dynamics of modern marital relationships in the digital age. The findings powerfully underscore the cognitive and emotional costs associated with unmindful technology use, providing a strong empirical basis for advocating for more conscious digital behaviors within intimate partnerships. The call for future research to employ longitudinal methods is crucial for establishing causal relationships and understanding how these dynamics evolve over time. Similarly, exploring more diverse samples, particularly regarding gender balance and cultural backgrounds, will be essential for enhancing the generalizability and robustness of these initial insights. This research serves as a vital foundation for further investigation into the complex interplay between technology, cognition, and relational well-being.

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