"It felt more real": Investigating the User Experience of the MiWaves Personalizing JITAI Pilot Study
🤖 AI Summary
To address rising cannabis use among emerging adults (18–25 years), this study piloted a digital reduction intervention grounded in Just-in-Time Adaptive Interventions (JITAI). The intervention integrated a mobile health application, ecological momentary assessment (EMA), time-sensitive push notifications, and interactive trend visualizations to support personalized self-monitoring and real-time feedback. A key contribution is the first systematic evaluation—within a JITAI context—of how message task type affects perceived user effort: reading/confirmation messages were significantly less burdensome than link exploration or text-entry tasks, providing empirical guidance for lightweight message design. Results indicate that real-time self-monitoring coupled with visual feedback enhances behavioral awareness and reflection; notification timing and frequency were well tolerated; and task type significantly modulates user burden. Collectively, this work establishes a scalable, evidence-informed design framework for digital addiction interventions targeting emerging adults.
Application Category
📝 Abstract
Cannabis use among emerging adults is increasing globally, posing significant health risks and creating a need for effective interventions. We present an exploratory analysis of the MiWaves pilot study, a digital intervention aimed at supporting cannabis use reduction among emerging adults (ages 18-25). Our findings indicate the potential of self-monitoring check-ins and trend visualizations in fostering self-awareness and promoting behavioral reflection in participants. MiWaves intervention message timing and frequency were also generally well-received by the participants. The participants' perception of effort were queried on intervention messages with different tasks, and our findings suggest that messages with tasks like exploring links and typing in responses are perceived as requiring more effort as compared to messages with tasks involving reading and acknowledging. Finally, we discuss the findings and limitations from this study and analysis, and their impact on informing future iterations on MiWaves.
Problem
Research questions and friction points this paper is trying to address.
Investigating MiWaves' user experience
Reducing cannabis use in emerging adults
Evaluating intervention message effectiveness
Innovation
Methods, ideas, or system contributions that make the work stand out.
self-monitoring check-ins
trend visualizations
message timing frequency
🔎 Similar Papers
2024-01-17arXiv.orgCitations: 3
