Accepted for/Published in: JMIR Human Factors
Date Submitted: Apr 16, 2025
Open Peer Review Period: May 8, 2025 - Jul 3, 2025
Date Accepted: Jun 9, 2025
(closed for review but you can still tweet)
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Exploring Young Adults' Attitudes Towards AI-Driven mHealth Apps: A Qualitative Study
ABSTRACT
Background:
AI-driven mobile health (mHealth) applications are emerging as a promising tool for health management, yet little is known about users' psychological perceptions and attitudes towards these technologies. Understanding these aspects is crucial for both the appropriate design and the effective use of these technologies, ensuring the psychological and physical well-being of potential end users.
Objective:
This study aimed to investigate the attitudes and perceptions of young adults towards a possible use of AI-driven mHealth applications, focusing on the perceived benefits and potential concerns related to their future adoption.
Methods:
A qualitative focus group methodology was employed. Fifteen participants (12 men, 3 women, mean age 27 years) were recruited. Data were analyzed using thematic analysis to identify key themes influencing engagement with these technologies.
Results:
Four main themes emerged: “Usability,” which emphasized the importance of user-friendly, personalized experiences; “Innovation and Reliability,” where participants expressed both enthusiasm and skepticism towards AI’s potential; “Affectivity and Interaction with AI,” highlighting mixed opinions on the emotional impact of AI interactions; and “Perceived Risks,” which focused on concerns regarding data privacy and the need for human supervision. These factors contributed to ambivalent attitudes towards AI-driven mHealth apps, with some participants being open to adoption, while others remained cautious.
Conclusions:
To foster greater engagement with AI-driven mHealth apps, developers should prioritize usability, trust, emotional support, and privacy issues, considering users’ psychological needs and expectations. The findings offer valuable insights for designing more user-oriented mHealth solutions. Further research should explore how perceptions evolve with direct experience and long-term use.
Citation
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.