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Making Come-Alive and Keeping Un-Alive: How People Relate to Self-Guided Web-Based Health Interventions.

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Online health interventions can improve with a person-to-program "working alliance." This study introduces a new model explaining how users form bonds with digital health programs, enhancing their effectiveness.

Keywords:
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Area of Science:

  • Digital Health Interventions
  • Human-Computer Interaction
  • Psychology

Background:

  • Self-guided web-based interventions are increasingly used for health.
  • A "working alliance" enhances psychotherapy, but theoretical models for person-to-program relationships in digital health are lacking.
  • Understanding user-program relationships is crucial for optimizing online health interventions.

Purpose of the Study:

  • To develop a theoretical model explaining how users relate to self-guided web-based interventions.
  • To identify the factors contributing to a person-to-program bond in digital health.
  • To explore different modes of user interaction with online health programs.

Main Methods:

  • Qualitative interviews with users of a self-guided web-based intervention.
  • Analysis of program data from users.
  • Grounded theory approach to develop a relational model.

Main Results:

  • A model of relating was developed, featuring two core relational modes: 'making come-alive' and 'keeping un-alive'.
  • These modes combine to describe user interactions as nonsocial, semi-social interaction, or semi-social relationship.
  • A person-to-program bond is conceptualized as an 'experienced supportive social presence', facilitated by 'making come-alive' and positive program interaction.

Conclusions:

  • The developed model provides a theoretical framework for understanding user-program relationships in digital health.
  • The concepts of 'making come-alive' and 'experienced supportive social presence' are key to forming a person-to-program bond.
  • This understanding can inform the design of more engaging and effective online health interventions.