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ORIGINAL RESEARCH article

Front. Behav. Neurosci.
Sec. Individual and Social Behaviors
Volume 18 - 2024 | doi: 10.3389/fnbeh.2024.1302770

Unveiling the Influence of Persuasion Strategies on Cognitive Engagement: An ERP Study on Attentional Search

Provisionally accepted
  • Beijing Normal University, Beijing, Beijing Municipality, China

The final, formatted version of the article will be published soon.

    The objective of this study was to explore the impact of different persuasive strategies, as delineated in the Elaboration Likelihood Model (ELM), on attentional processes using eventrelated potentials (ERPs). Specifically, we investigated how central versus peripheral persuasion methods, delivered through rational and emotional persuasion strategy, influence cognitive engagement and information processing during visual search tasks. Participants were allocated into four groups based on the media type (video vs. text) and the persuasion route (central vs. peripheral) to examine the early and late stages of attentional processing reflected in the N1, P2, and P3 ERP components. The results demonstrate a pronounced N1 amplitude in response to text-based peripheral persuasion, indicating an enhanced early attentional engagement. Additionally, parallel search tasks revealed a larger P3 amplitude for central versus peripheral routes, suggesting a significant cognitive resource allocation during tasks requiring higher attention. These findings underscore the nuanced role of persuasive strategies in modulating attentional resources and cognitive processing, offering insights into 2 designing more effective communication messages. The study highlights the potential for tailored persuasion approaches to influence audience engagement and information processing, with implications for public health campaigns and beyond.

    Keywords: Elaboration Likelihood Model, Attention, ERP, visual search, persuasion

    Received: 27 Sep 2023; Accepted: 28 May 2024.

    Copyright: © 2024 Xiu, Chen, Mao, Zhang and Yu. 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: Xuejiao Chen, Beijing Normal University, Beijing, 100875, Beijing Municipality, China

    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.