ACMJ Article

Abstract

The arrival of Artificial Intelligence (AI) has redefined communication strategies, particularly in behaviour change interventions (BCIs). This study examines the potential of AI-driven personalised messaging as a new intervention for Behaviour change in various domains, ranging from public health and environmental sustainability to education. The study recognises the need for personal-tailored communication strategies to address personal motivations, barriers and contexts that define individuals and which are usually not addressed by traditional approaches. The general purpose is to explore how AI applies data analytics, machine learning and natural language processing to create and convey personalised messages that elicit effective behaviour change. Theoretical underpinning is drawn from the Elaboration Likelihood Model (ELM) and Theory of Planned Behaviour (TPB) to explain how targeted messaging affects decision-making and cognitive processing. Applying the Systematic Literature Review (SLR) method, this study synthesises current literature to examine the efficacy, ethics and practical applications of AI in BCIs. Some of the arguments are the unmatched ability of AI for dealing with large sets of data and its ability to move away from one-size-fits-all solutions. However, ethical concerns like data privacy and algorithmic biases must be addressed to ensure responsible use. This study concludes that AI-based personalised messaging has potential to revolutionise BCIs but must be adopted with caution so as to balance technological efficacy with ethical standards. Recommendations include establishing ethical frameworks, enhancing transparency in AI systems and promoting inter-disciplinary research for optimal use of AI in behaviour change programmes.

ARTIFICIAL INTELLIGENCE -BASED PERSONALISED MESSAGING FOR BEHAVIOUR CHANGE INTERVENTIONS, 2025, Vol. 2, No. 1, pp. 62-70. PDF