🤖 AI Summary
This study investigates the definition, measurement, and impact of user engagement in digital behavior change interventions (DBCIs). Through three interrelated design projects, it systematically integrates and compares three perspectives on engagement—motivational, hypothesized-effect, and measurement-based—within a unified framework. Employing mixed methods, including user research, intervention design, metric development, and strategy evaluation, the work elucidates the complex relationship between conceptualizations of engagement and intervention design. The research identifies key mechanisms that enhance user engagement, offering novel theoretical insights and practical guidance for the future development of digital health interventions.
📝 Abstract
We contrast three perspectives on engagement from three projects on the design of Digital Behavior Change Interventions (DBCIs), all conducted as part of the PhD thesis of the second author. We provide a reflection on this work with respect to engagement, discussing the motivation, the assumed effects of engagement, the measures of engagements and key insights of each project, as the well as the strategies employed to increase engagement.