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Engagement with mHealth Alcohol Interventions: User Perspectives on an App or Chatbot-Delivered Program to Reduce
Robyn N M Sedotto1, Alexandra E Edwards1, Patrick L Dulin2
1Center for Behavioral Health Research and Services, University of Alaska Anchorage, Anchorage, AK 99508, USA.
Participant engagement is crucial for mobile health (mHealth) alcohol interventions. Features like tracking and feedback enhance use, with AI chatbots offering personalization benefits but requiring attention to conversational design and navigation.
Area of Science:
- Digital Health
- Behavioral Science
- Substance Abuse Research
Background:
- Participant engagement is vital for mobile health (mHealth) interventions targeting alcohol reduction.
- Understanding engagement facilitators and barriers is key to optimizing mHealth alcohol interventions.
Purpose of the Study:
- To identify facilitators and barriers to mHealth alcohol intervention utilization.
- To compare user experiences between an app (Step Away) and an AI chatbot intervention for hazardous drinkers.
Main Methods:
- Semi-structured interviews with 20 participants who used either the Step Away app or chatbot for three months.
- Qualitative analysis to identify common themes related to intervention engagement.
Main Results:
- Tracking drinking, feedback, accountability, and reminders promoted engagement in both interventions.
- AI chatbots showed strengths in positivity, personalization, and insight generation.
- App users found quick tracking more salient; chatbot users valued personalization but noted repetitiveness and navigation issues.
Conclusions:
- AI chatbot interventions can enhance engagement through personalization and insights.
- Future mHealth alcohol intervention design should incorporate user-friendly tracking, minimize repetitive content, and allow for self-directed navigation.
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