Integrating Generative AI into Art Therapy: A Technical Showcase
It addresses enhancing expression and accessibility in art therapy for patients, but appears incremental as it builds on existing models without major breakthroughs.
This paper tackles the integration of generative AI into art therapy by introducing a technical design that uses text-to-image models to help patients refine and customize their creative work, as demonstrated through three illustrative examples with qualitative evaluation.
This paper explores the integration of generative AI into the field of art therapy. Leveraging proven text-to-image models, we introduce a novel technical design to complement art therapy. The resulting AI-based tools shall enable patients to refine and customize their creative work, opening up new avenues of expression and accessibility. Using three illustrative examples, we demonstrate potential outputs of our solution and evaluate them qualitatively. Furthermore, we discuss the current limitations and ethical considerations associated with this integration and provide an outlook into future research efforts. Our implementations are publicly available at https://github.com/BFH-AMI/sds24.