Individual Differences and Technology Affordances Combine to Predict Mobile Social Media Distraction Behaviors and Consequences
Year: 2024
Type: conference-paper
Study design: Observational Study
Abstract: Drawing upon theories from communication studies and cognitive psychology, this research develops a multitheoretical model that identifies human and technological factors that predict social media distraction engagement and explains how social media distractions can lead to negative consequences across various tasks. This model is empirically tested using data from a survey of U.S. mobile phone users (N = 1,026). The results from a structural equation modeling analysis support the model’s predictions that a person’s age, fear of missing out, smartphone checking habit strength, and the number of social media applications with notifications enabled all impact a variety of distraction behaviors and consequences. The findings show that communication technology distraction behavior is influenced by a complex intertwining of goal-driven communication and information-seeking behaviors, automatic processes in the brain, and technology affordances.
Authors: Emily Sidnam-Mauch, Peter Monge
Institutions: University of Southern California, Clemson University
Language: English
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4396832447