Smartwear-Based Feedback Systems to Enhance Youth Physical Activity Engagement

Thesis Abstract

The decline in physical activity levels among youth presents a significant public health challenge, with implications for increasing rates of obesity, cardiovascular diseases, and mental health issues. Despite the recognition of these concerns, engagement in regular physical activity among adolescents remains insufficient, often due to lack of motivation, limited feedback, and inadequate engagement strategies. Technological innovations, particularly wearable devices integrated with feedback systems, offer promising avenues to promote sustained physical activity by providing real-time, personalized motivation and performance monitoring. This study aims to investigate the effectiveness of smartwear-based feedback systems in enhancing physical activity engagement among youth aged 13 to 18 years. The primary objective is to evaluate whether smartwear devices equipped with interactive feedback mechanisms can significantly increase daily physical activity levels compared to conventional activity tracking methods. The study further seeks to explore psychological mediators, such as self-efficacy and intrinsic motivation, in the relationship between feedback intervention and activity engagement. Specific objectives include assessing user acceptance of smartwear devices, determining the impact of feedback on activity intensity and duration, and examining the influence of theoretical constructs derived from Self-Determination Theory (Deci & Ryan, 1985) and Social Cognitive Theory (Bandura, 1986) on behavioral outcomes. Methodologically, the research adopts a quasi-experimental design involving a sample of 300 adolescents recruited from three urban secondary schools. Participants are randomly assigned to either an intervention group, receiving smartwear devices with integrated motivational feedback features, or a control group, using traditional pedometers without feedback mechanisms. Data collection involves the deployment of validated questionnaires measuring physical activity levels (using the International Physical Activity Questionnaire - Short Form), psychological variables (e.g., self-efficacy, motivation scales), and user satisfaction surveys. Objective activity data are captured through the smartwear devices over an eight-week period, supplemented by weekly logs. Validity and reliability of instruments are ensured through pilot testing and Cronbach’s alpha coefficients exceeding 0.80. Data analysis employs descriptive statistics to characterize the sample, inferential statistics such as paired t-tests and repeated-measures ANOVA to compare pre- and post-intervention activity levels across groups, and structural equation modeling (SEM) to examine the mediating roles of psychological constructs. Additionally, thematic analysis of qualitative feedback sheds light on user experience and acceptability. Expected findings suggest that adolescents using smartwear feedback systems will demonstrate a statistically significant increase in daily moderate-to-vigorous physical activity levels compared to the control group, with psychological mediators partly explaining this effect. Increased self-efficacy and intrinsic motivation are anticipated to mediate the relationship between feedback engagement and activity outcomes. The study also expects high acceptance and satisfaction rates among participants, highlighting the usability and motivational potential of the technology. This research contributes novel insights into the application of wearable technology and feedback mechanisms within youth populations, filling notable gaps in the literature concerning personalized, technology-driven behavioral interventions for physical activity promotion. It advances understanding of how theoretical frameworks such as Self-Determination Theory and Social Cognitive Theory can inform the design of effective digital health interventions for adolescents. The study concludes that smartwear-based feedback systems constitute a viable strategy to enhance physical activity levels among youth, promoting sustained engagement through real-time motivation and self-monitoring. Recommendations include integrating such technologies into school-based health programs, developing standardized guidelines for wearable device use, and fostering personalized feedback approaches. Future research should explore longitudinal effects, scalability, and integration with broader health promotion initiatives to maximize impact on youth health behaviors.