HYPOTHESIS AND THEORY article
Front. Psychol.
Sec. Cognition
Volume 16 - 2025 | doi: 10.3389/fpsyg.2025.1632165
The Dual System Model of Distraction: Explaining the Cognitive Mechanism of Distraction
Provisionally accepted- Tangshan Normal University, Tangshan, China
Select one of your emails
You have multiple emails registered with Frontiers:
Notify me on publication
Please enter your email address:
If you already have an account, please login
You don't have a Frontiers account ? You can register here
In this conceptual analysis, the theoretical foundations of distraction are examined, with particular emphasis on its definitional ambiguity and the absence of systematic models. The dual system model of distraction is introduced, delineating two complementary mechanisms: the distraction capacity system, a limited unconscious mechanism that automatically resists task-irrelevant input, and the attention control system, a conscious mechanism that reorients focus when distraction exceeds capacity. The first aim is to situate distraction in relation to established attention theories, showing how filter, attenuation, and capacity models frame distraction only indirectly. A review of contemporary distraction-related accounts and findings, such as goal interference and resource availability models, is then provided to demonstrate the lack of a unified framework. On this basis, the dual system model is explained as accounting for inattentional blindness, inattentional deafness, the state of flow, and the transition from recognizing distraction to re-engaging with the primary task. The model's relevance for educational contexts is outlined, where technology-induced distractions present a pressing challenge for sustained attention. Finally, it is argued that the dual system model serves as an epistemic framework that integrates unconscious resistance and conscious control, thereby providing a conceptual foundation for future empirical research and applied interventions in distraction-prone environments.
Keywords: distraction, Attention, Model, Learning, attention control, attention capacity, Cognition
Received: 20 May 2025; Accepted: 29 Sep 2025.
Copyright: © 2025 Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Chenghao Wang, chh_wang@outlook.com
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.