학술논문

An Empirical Study on the Psychological Improvement Effects and Satisfaction of Korean Traditional Painting Generative AI
Document Type
Conference
Source
2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) Artificial Intelligence in Information and Communication (ICAIIC), 2024 International Conference on. :135-140 Feb, 2024
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Fields, Waves and Electromagnetics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Generative AI
Artwork
Catharsis
Imperfection
Serendipity
User satisfaction
Language
ISSN
2831-6983
Abstract
Recent advancements in generative AI technology have made it possible to generate art pieces for traditional Korean painting as well. Visual image generation through generative AI can occur autonomously as well as through co-creation with creators. This technological progress has opened up possibilities for utilizing generative AI in art therapy, aiming to achieve psychological well-being during the creation or appreciation of artworks or improving the therapeutic process. However, the measurement of psychological improvement resulting from the collaborative creation process using generative AI has not been attempted thus far. Therefore, the purpose of this study is to experimentally ascertain whether the creation of visual images through generative AI leads to psychological improvement for creators or viewers. 40 participants experienced the generative AI-based traditional Korean painting experience web developed by ALLBIGDAT Inc, a generative AI company in Korea, and conducted a survey on the psychological state of each before and after the experience. As a result, it was found that imperfections and serendipity had a significant effect on enhancing satisfaction with collaborative creations. In addition, the age considered as a control factor also showed statistically significant results, indicating that the higher the age, the higher user's satisfaction.