Generative AI-driven therapeutic digital art creation: research on innovative paths from individual rehabilitation to commercial application
With the rapid development of generative AI and its widespread application in digital health, AI-assisted art therapy is becoming an innovative direction for mental health services. Through a systematic literature review and theoretical framework, this study explores the mechanisms of generative AI in therapeutic digital art and its commercialization. The findings indicate that AI can enhance the accessibility and personalization of traditional art therapy via emotion recognition, personalized guidance, and intelligent evaluation. The digital therapy market, projected to grow from $7.67 billion in 2024 to $32.5 billion by 2030, offers significant commercial prospects for therapeutic art creation. This study provides a comprehensive framework from technology implementation to commercialization, serving as a reference for future research and applications.
Authors
- Yu Wang (ORCID: https://orcid.org/0000-0002-6318-0446)
- Shanshan Liu (ORCID: https://orcid.org/0000-0001-5872-3816)
Institutions
- Catholic University of Korea (KR)
Publication Details
- Journal
- IET conference proceedings.
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1049/icp.2025.4175
- Primary Topic
- Art Therapy and Mental Health
- Type
- article
- Field-Weighted Citation Impact
- 0.00