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Area of Science:

  • Digital Health
  • Behavior Change Science
  • Health Informatics

Background:

  • Automated assessment of behavior change progress is crucial for digital health interventions.
  • Existing digital coaches for cardiovascular disease and stress prevention require robust theoretical grounding.
  • A standardized model is needed to evaluate the alignment of digital coaching systems with behavior change theories.

Purpose of the Study:

  • To develop a conceptual model for behavior change progress applicable to automated assessment.
  • To evaluate the utility of this model in assessing prototype digital coaches.
  • To identify mechanisms for goal setting within digital behavior change interventions.

Main Methods:

  • Developed a conceptual model based on established behavior change theories.
  • Evaluated the model through expert review.
  • Assessed two prototype digital coaches (cardiovascular disease and stress prevention) against the conceptual model.

Main Results:

  • The conceptual model proved effective for evaluating digital coach prototypes.
  • It identified the extent to which prototypes align with behavior change theories.
  • The model highlighted missing information and suggested goal-setting mechanisms.

Conclusions:

  • The conceptual model is a valuable tool for assessing and refining digital behavior change interventions.
  • It facilitates the evaluation of theoretical basis, content completeness, and goal-setting strategies.
  • Future work will integrate the model as a meta-ontology for causal relationship analysis.