Mapping Determinants of Effectiveness for Digital Mindfulness-Based Interventions: A Large Language Model–Assisted Scoping Review

This poster reports a scoping review of digital mindfulness-based interventions (dMBIs) conducted with support from large language models (LLMs). Using prompt-engineered analysis and knowledge graph visualization, we identified and validated determinants of dMBI effectiveness, illustrating how LLM-assisted methods can enhance the consistency and depth of evidence synthesis in psychological research.