Current Approaches of Artificial Intelligence (AI) in Leading Behavioural Change: The Latest Review

Authors

  • Miharaini Md Ghani School of Communication, Universiti Sains Malaysia, 11800 Gelugor, Pulau Pinang, Malaysia
  • Mohd Nizam Osman Department of Communication, Faculty of Modern Language and Communication, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia
  • Siti Zobidah Omar Department of Mass Communication, Faculty of Social Sciences and Liberal Arts, UCSI University, 56000 Cheras, Kuala Lumpur, Malaysia
  • Siti Ramizah Khairunnisa Mohd Radzi Department of Communication, Faculty of Modern Language and Communication, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia
  • Wan Azani Mustafa Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis, UniCITI Alam Campus, Sungai Chuchuh, 02100 Padang Besar, Perlis, Malaysia
  • Annisa Mardatillah Business Administration, Universitas Islam Riau, 28284 Pekan Baru, Indonesia

DOI:

https://doi.org/10.37934/araset.34.3.143155

Keywords:

Artificial intelligence, Behavioural change, AI

Abstract

Digital health is plagued by low interest and adherence, but research suggests improvements are possible. Non-health care, for-profit digital enterprises like LinkedIn, Twitter, and Facebook undertake behavioural experiments to enhance user engagement. Today, everyone is impacted by commercial determinants of health, and the selection of unhealthy options compounds economic, social, and racial disparities that already exist. However, healthcare providers tend to prioritize pharmacological approaches at the expense of influencing patients’ actions. Thus, it is crucial to ensure that artificial intelligence (AI) is integrated as well as applied within the systems to improve related fields. Both Scopus and Web of Science (WoS) have indexed the previously examined body of work in their respective databases. This review is going to be divided into three different themes: (1) health, (2) education, and (3) other fields. This paper aims to analyse the existing data or outcomes via analysis, categorization, comparison, and summary. It also may uncover research gaps and explore field possibilities. This review included English-language research and literature from 2022. This study summarises current approaches of Artificial Intelligence (AI) in leading behavioural change from different fields of literature.

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Author Biographies

Miharaini Md Ghani, School of Communication, Universiti Sains Malaysia, 11800 Gelugor, Pulau Pinang, Malaysia

dr.miharaini@gmail.com

Mohd Nizam Osman, Department of Communication, Faculty of Modern Language and Communication, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia

mo_nizam@upm.edu.my

Siti Zobidah Omar, Department of Mass Communication, Faculty of Social Sciences and Liberal Arts, UCSI University, 56000 Cheras, Kuala Lumpur, Malaysia

SitiZobidah@ucsiuniversity.edu.my

Siti Ramizah Khairunnisa Mohd Radzi, Department of Communication, Faculty of Modern Language and Communication, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia

sramizahk@gmail.com

Wan Azani Mustafa, Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis, UniCITI Alam Campus, Sungai Chuchuh, 02100 Padang Besar, Perlis, Malaysia

wanazani@unimap.edu.my

Annisa Mardatillah, Business Administration, Universitas Islam Riau, 28284 Pekan Baru, Indonesia

Annisa.fisipol@soc.uir.ac.id

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Published

2023-12-16

How to Cite

Miharaini Md Ghani, Osman, M. N., Omar, S. Z., Mohd Radzi, S. R. K., Mustafa, W. A., & Annisa Mardatillah. (2023). Current Approaches of Artificial Intelligence (AI) in Leading Behavioural Change: The Latest Review. Journal of Advanced Research in Applied Sciences and Engineering Technology, 35(1), 143–155. https://doi.org/10.37934/araset.34.3.143155

Issue

Vol. 35 No. 1: May (2024)

Section

Articles
Crossref
Scopus
Google Scholar
Europe PMC

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