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Users' needs for a digital smoking cessation application and how to address them: A mixed-methods study.

Nele AlbersMark A NeerincxKristell M PenfornisWillem-Paul Brinkman
Published in: PeerJ (2022)
The integrated method of experience-based and envisioning-based needs acquisition with a triangulate analysis provided a comprehensive needs classification (empirically and theoretically grounded). We expect that our themes and recommendations for addressing them will be helpful for designing applications for health behavior change that meet people's needs. Designers should especially focus on the perceived usefulness of application components. To aid future work, we publish our dataset with user characteristics and 5,074 free-text responses from 671 people.
Keyphrases
  • smoking cessation
  • replacement therapy
  • mental health
  • healthcare
  • public health
  • machine learning
  • deep learning
  • depressive symptoms
  • social support
  • current status
  • clinical practice
  • human health
  • social media