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ORIGINAL RESEARCH article

Front. Public Health
Sec. Digital Public Health
Volume 12 - 2024 | doi: 10.3389/fpubh.2024.1521546

The Impact of English Education on Enhancing the Acceptance of Multicultural Health Interventions

Provisionally accepted
Mayong Feng Mayong Feng *
  • Tianshui Normal University, Tianshui, China

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

    The transformative impact of English education in enhancing the acceptance of multicultural health interventions is increasingly evident. Recent advancements in artificial intelligence and health monitoring technologies particularly emphasize the importance of language.EngHealthCLIP, an innovative framework, leverages the multi-modal CLIP (Contrastive Language-Image Pretraining) model to integrate electroencephalogram (EEG) data with English text and image data. This approach not only expands the scope of health monitoring to diverse linguistic communities but also improves the interpretability and utility of EEG data in multicultural contexts.Through English education, EngHealthCLIP effectively unifies different types of data, fostering a cohesive understanding of users' health statuses. Experimental results demonstrate that this method outperforms traditional EEG-based models in accurately detecting stress, fatigue, and other health indicators. These outcomes highlight the framework's potential for scalable applications in global public health, underscoring the transformative role of English education in promoting the acceptance and effectiveness of multicultural health interventions.

    Keywords: English education, Public health monitoring, Multi-modal AI, electroencephalogram (EEG), CLIP model

    Received: 02 Nov 2024; Accepted: 18 Nov 2024.

    Copyright: © 2024 Feng. 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: Mayong Feng, Tianshui Normal University, Tianshui, 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.