Summary of Integrating Generative Ai Into Art Therapy: a Technical Showcase, by Yannis Valentin Schmutz et al.
Integrating Generative AI into Art Therapy: A Technical Showcase
by Yannis Valentin Schmutz, Tetiana Kravchenko, Souhir Ben Souissi, Mascha Kurpicz-Briki
First submitted to arxiv on: 4 Dec 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper proposes integrating generative AI into art therapy, leveraging text-to-image models to create novel tools. These AI-based tools enable patients to refine and customize their creative work, increasing expression and accessibility. The approach is demonstrated through three illustrative examples, evaluated qualitatively. The abstract also discusses current limitations and ethical considerations, providing an outlook on future research. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper uses artificial intelligence (AI) to help people with art therapy. Art therapists use AI models that turn text into images to create new tools for patients. These tools let patients change and improve their artwork, making it easier for them to express themselves creatively. The paper shows three examples of what these tools can do and talks about the benefits and challenges of using AI in this way. |
