ArticleJMIR human factors2025
Exploring Young Adults' Attitudes Toward AI-Driven mHealth Apps: Qualitative Study.
Article in JMIR human factors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed.
- Understanding Food Choices Among University Students: Dietary Identity, Decision-Making Motives, and Contextual Influences.Nutrients · 2026Article
- Tai Chi Chuan Auxiliary Training Systems in Health and Rehabilitation: Scoping Review.Journal of medical Internet research · 2025Article
- Patient Attitudes Toward Ambient Voice Technology: Preimplementation Patient Survey in an Academic Medical Center.JMIR medical informatics · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Artificial intelligence (AI)-driven mobile health (mHealth) apps are emerging as a promising tool for health management, yet little is known about users' psychological perceptions and attitudes toward 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 toward a possible use of AI-driven mHealth apps, focusing on the perceived benefits and potential concerns related to their future adoption. Methods: A qualitative focus group methodology was used. Fifteen participants (12 men, 3 women; mean age 27 years, range: 25-34 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 toward 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.
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Registered trials
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