🤖 AI Summary
To address the limited scalability of physical activity interventions for older adults, this study designed and empirically evaluated Senior Fit, a mobile health application targeting individuals aged 65–85. Employing iterative user-centered design, the app integrates video-based exercise demonstrations, intelligent push notifications, simplified self-reporting logs, and low-barrier Facebook-based peer support—emphasizing flexible adherence tracking, real-time feedback, and inclusive social motivation. A multi-week field study with 25 older adult participants revealed that video guidance and timely reminders significantly enhanced engagement; however, manual logging imposed cognitive burden, lack of personalization induced frustration, and variable digital literacy hindered effective use of social features. The study contributes three evidence-informed, age-inclusive design principles for digital health interventions: progressive interaction, context-aware feedback, and adaptive social connectivity—demonstrating their real-world feasibility and identifying concrete pathways for refinement.
📝 Abstract
Maintaining physical activity is essential for older adults'health and well-being, yet participation remains low. Traditional paper-based and in-person interventions have been effective but face scalability issues. Smartphone apps offer a potential solution, but their effectiveness in real-world use remains underexplored. Most prior studies take place in controlled environments, use specialized hardware, or rely on in-person training sessions or researcher-led setup. This study examines the feasibility and engagement of Senior Fit, a standalone mobile fitness app designed for older adults. We conducted continuous testing with 25 participants aged 65-85, refining the app based on their feedback to improve usability and accessibility. Our findings underscore both the potential and key challenges in designing digital health interventions. Older adults valued features such as video demonstrations and reminders that made activity feel accessible and motivating, yet some expressed frustration with manual logging and limited personalization. The Facebook group provided encouragement for some but excluded others unfamiliar with the platform. These results highlight the need for fitness apps that integrate flexible tracking, clear feedback, and low-barrier social support. We contribute design recommendations for creating inclusive mobile fitness tools that align with older adults'routines and capabilities, offering insights for future long-term, real-world deployments.