Cargando…
Exploring the use of AI text-to-image generation to downregulate negative emotions in an expressive writing application
Conventional writing therapies are versatile, accessible and easy to facilitate online, but often require participants to self-disclose traumatic experiences. To make expressive writing therapies safer for online, unsupervised environments, we explored the use of text-to-image generation as a means...
Autores principales: | Azuaje, Gamar, Liew, Kongmeng, Buening, Rebecca, She, Wan Jou, Siriaraya, Panote, Wakamiya, Shoko, Aramaki, Eiji |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9810434/ https://www.ncbi.nlm.nih.gov/pubmed/36636309 http://dx.doi.org/10.1098/rsos.220238 |
Ejemplares similares
-
Estimation of Psychological Distress in Japanese Youth Through Narrative Writing: Text-Based Stylometric and Sentiment Analyses
por: Manabe, Masae, et al.
Publicado: (2021) -
The rise of generative AI and enculturating AI writing in postsecondary education
por: Pedersen, Isabel
Publicado: (2023) -
Image–text coherence and its implications for multimodal AI
por: Alikhani, Malihe, et al.
Publicado: (2023) -
Between Fact and Fabrication: How Visual Art Might Nurture Environmental Consciousness
por: Buening, Rebecca, et al.
Publicado: (2022) -
DeepCausality: A general AI-powered causal inference framework for free text: A case study of LiverTox
por: Wang, Xingqiao, et al.
Publicado: (2022)