Artificial Intelligence–Supported Psychodrama

Abstract

Artificial intelligence (AI) technologies have increasingly been integrated into mental health services, offering new possibilities for psychological assessment, therapeutic support, and behavioral intervention. At the same time, experiential psychotherapy approaches such as psychodrama continue to demonstrate effectiveness in facilitating emotional expression, interpersonal learning, and behavioral change. Despite these parallel developments, relatively little research has examined how artificial intelligence may support psychodramatic processes. The present study aims to conceptualize an Artificial Intelligence–Supported Psychodrama Model through qualitative document analysis of academic literature related to psychodrama, digital psychotherapy, and AI-supported mental health interventions. A corpus of peer-reviewed articles and scholarly books was analyzed using thematic coding procedures commonly applied in qualitative research. Findings were organized into three major themes reflecting core therapeutic processes: cognitive, affective, and behavioral dimensions. Cognitive codes included privacy, decision-making, reflection, and insight; affective codes included trust, emotional expression, empathy, and emotional awareness; behavioral codes included experimentation, persistence, role exploration, and skill practice. Results suggest that AI technologies may extend the possibilities of psychodramatic therapy by supporting reflective feedback, facilitating emotional awareness, and enabling repeated behavioral experimentation within simulated interpersonal scenarios. However, ethical considerations such as confidentiality, technological transparency, and the preservation of authentic therapeutic relationships remain essential. The proposed conceptual model provides a framework for future empirical studies exploring the integration of artificial intelligence with experiential psychotherapy practices.