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Area of Science:

  • Psychology
  • Human-Computer Interaction
  • Digital Health

Background:

  • Digital interventions for prosocial behavior are a growing research area.
  • A gap exists between academic findings and practical application in this field.
  • Existing interventions lack a clear framework for implementation based on timing.

Purpose of the Study:

  • To provide a practical review and framework for digital prosocial behavior interventions.
  • To categorize interventions based on their implementation timing: proactive, interactive, and reactive.
  • To bridge the gap between academic research and practitioner application.

Main Methods:

  • Systematic review of digital interventions for prosocial behavior.
  • Categorization of interventions into proactive, interactive, and reactive based on timing.
  • Analysis of intervention scalability, automation, and empirical evidence.

Main Results:

  • Identified and categorized digital interventions into proactive, interactive, and reactive types.
  • Reviewed evidence for scalable, automated, and scientifically tested interventions within each category.
  • Provided practical tips for intervention application and collaboration strategies.

Conclusions:

  • A structured framework can enhance the utilization of digital prosocial behavior interventions.
  • Successful implementation requires understanding intervention timing and evidence.
  • Fostering collaboration between researchers and practitioners is key to maximizing impact.