An Empirical Study on the Psychological Improvement Effects and Satisfaction of Korean Traditional Painting Generative AI

Ohbyung Kwon, Sujin Bae, Dongjae Lee, Kyuho Lee, Ryunhee Choi, Kyunghwa Hwang, Seongjun Kwon, Taeyoung Kim

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication6th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages135-140
Number of pages6
ISBN (Electronic)9798350344349
DOIs
Publication statusPublished - 2024
Event6th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2024 - Osaka, Japan
Duration: 19 Feb 202422 Feb 2024

Publication series

Name6th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2024

Conference

Conference6th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2024
Country/TerritoryJapan
CityOsaka
Period19/02/2422/02/24

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

Keywords

  • Artwork
  • Catharsis
  • Generative AI
  • Imperfection
  • Serendipity
  • User satisfaction

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