Login / Signup

Human Factors in AI-Driven Digital Solutions for Increasing Physical Activity: Scoping Review.

Elia GabarronDillys LarbiOctavio Rivera RomeroKerstin Denecke
Published in: JMIR human factors (2024)
Current research highlights the potential of AI-driven technologies to enhance PA, though the evidence remains limited. Longer-term studies are necessary to assess the sustained impact of AI-driven technologies on behavior change and habit formation. While AI-driven digital solutions for PA hold significant promise, further exploration into optimizing AI's impact on PA and effectively integrating AI and HFs is crucial for broader benefits. Thus, the implications for innovation management involve conducting long-term studies, prioritizing diversity, ensuring research quality, focusing on user experience, and understanding the evolving role of AI in PA promotion.
Keyphrases
  • artificial intelligence
  • big data
  • physical activity
  • machine learning
  • endothelial cells
  • body mass index
  • preterm infants
  • case control
  • gestational age