Leveraging Natural Language Processing to Evaluate Young Adults’ User Experiences with a Digital Sleep Intervention for Alcohol Use

Abstract excerpt

<title>Abstract</title> <p>Evaluating user experiences with digital interventions is critical to increase uptake and adherence, but traditional methods have limitations. We incorporated natural language processing (NLP) with convergent mixed methods to evaluate a personalized feedback and coaching digital sleep intervention for alcohol risk reduction: ‘Call it a Night’ (<italic>CIAN; N</italic> = 120). In this ra...

Topics

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• Artificial Intelligence
• Machine Learning
• Mental Health
• Obesity
• Outcome Assessment, Health Care
• Phenotype
• Randomized Controlled Trials as Topic
• Resilience, Psychological

Identifiers and source

Literature Corpus work

2e8b0028-5f93-543b-9046-aeac614051a2

DOI

10.21203/rs.3.rs-3977182/v1