Designing a Prototype of a Social Snus Cessation Mobile Application with an Integrated Artificial Intelligence (AI) Function for University Students in Sweden

Abstract

Abstract The increasing use of snus, particularly among Swedish youth, coupled with growing evidence of its health risks, presents a pressing public health concern. Among the existing approaches that aid individuals in overcoming addictive behaviors, mobile health applications have emerged as a rapidly growing, accessible, and cost-effective alternative to traditional therapy. These applications aim to educate users and provide them with the necessary tools for their cessation journey. However, there has been little research investigating the integration of social aspects and artificial intelligence (AI) assistance within such mobile appications to enhance user support for snus use cessation. This project focuses on the design of a mobile application called ExSnus, studying the diverse factors influencing individuals’ behaviors towards snus to then implement several strategies within the application framework to facilitate cessation. Based on a Persuasive Systems Design framework, ExSnus emphasizes the role of social interaction. Additionally, the potential role of AI as an assistant for snus cessation is explored. Key findings from research literature and user interviews revealed that social influence, cultural normalization, and health concerns are significant factors in snus use and cessation. The designed prototype features interactive social support and an AI counselor to address these factors, which were positively received during usability testing. ExSnus effectively integrates principles from a Persuasive Systems Design framework, providing a user-friendly and engaging tool for snus cessation.