Download pdf
Feasibility Study on Art Therapy Methods for Sleep Disorder Groups Based on Artificial Intelligence Technology
- 1 East China University of Science and Technology
* Author to whom correspondence should be addressed.
Abstract
With the rapid development of modern society and the accelerated pace of life, sleep disorders have become a significant issue affecting people’s quality of life. Numerous studies indicate that art therapy, as a non-pharmacological treatment, can externalize the subconscious through creative activities, raising it to a conscious level, thus improving the psychological state and sleep quality of individuals with sleep disorders. However, traditional art therapy methods still face certain limitations, often failing to achieve optimal therapeutic outcomes. The fast-growing field of artificial intelligence (AI), with advances in intelligent algorithms and big data analytics, offers new possibilities for the evolution of art therapy, potentially enhancing its effectiveness. This paper aims to explore the feasibility of integrating AI technology into art therapy for individuals with sleep disorders. By examining applications in mandala painting, intelligent wearable devices, and dream visualization, this study proposes innovative therapeutic approaches that combine traditional art therapy with modern AI technology to provide more efficient and personalized therapeutic solutions for those suffering from sleep disorders.
Keywords
Artificial Intelligence, Art Therapy, Sleep Disorders, Feasibility Study
[1]. Wang, Y., Song, M., Wang, R., et al. (2017). Insomnia and multimorbidity in the community elderly in China. Journal of Clinical Sleep Medicine, 13(4), 591.
[2]. Su, L., & Lu, Z. (2018). Interpretation of the 2017 China guidelines for the diagnosis and treatment of insomnia. World Clinical Drugs, 39(4), 217-222.
[3]. Ji, C., Lin, H., & Ma, R. (2020). Clinical efficacy of music therapy on sleep disorders in patients with postpartum depression. Chinese Community Doctors, 36(3), 15.
[4]. Yang, M. (2021). Effects of mindfulness-based soothing music training on acute stress disorder and sleep disorders in post-cerebral hemorrhage patients. World Journal of Sleep Medicine, 8(10), 1761-1763.
[5]. Su, S. (2020). Clinical study on the efficacy of combined music therapy and negative ion therapy in treating sleep disorders in elderly patients. Contemporary Nurses (Upper Edition), 27(5), 145-146.
[6]. Tong, X. (2023). The nature, stages, and recommendations of art therapy in painting—Based on Jungian analytical psychology theory. Journal of Guizhou University (Art Edition), 37(1), 97-103. https://doi.org/10.15958/j.cnki.gdxbysb.2023.01.012
[7]. Wu, Q. (2022). Study on the effect of Latin dance exercise on sleep quality and related physiological and biochemical indicators in middle-aged women with sleep disorders (Master’s thesis, Guangzhou Sport University, Guangdong, China).
[8]. Dement, W., & Wolpert, E. A. (1958). The relation of eye movements, body motility, and external stimuli to dream content. Journal of Experimental Psychology, 55(6), 543-553.
[9]. Hu, J., Yang, X., Wang, Z., et al. (2023). Effects of mandala painting training on negative emotions, coping styles, and sleep quality in high-risk pregnant women. International Journal of Psychiatry, 50(6), 1556-1558+1566. https://doi.org/10.13479/j.cnki.jip.2023.06.026
[10]. Su, L., Xing, Y., & Li, H. (2022). Application of mandala painting therapy in patients with primary liver cancer undergoing radiofrequency ablation. Henan Medical Research, 31(17), 3227-3231.
[11]. Chen, C., Zhou, D., & Gao, Y. (2013). Effects and mechanisms of mandala painting on emotional improvement. Chinese Journal of Clinical Psychology, 21(1), 162-164. https://doi.org/10.16128/j.cnki.1005-3611.2013.01.033
[12]. Frame, P. G. (2006). Assessing a couple’s relationship and compatibility using the MARI® Card Test and mandala drawings. Art Therapy, 23(1).
[13]. Zhang, J. (2016). Clinical study on the treatment of insomnia with biofeedback combined with hypnosis cognitive therapy (Master’s thesis, Gansu University of Chinese Medicine, Gansu Province, China).
[14]. Kocevska, D., et al. (2020). Sleep characteristics across the lifespan in 1.1 million people from the Netherlands, United Kingdom, and United States: A systematic review and meta-analysis. Nature Human Behaviour. https://doi.org/10.1038/s41562-020-00965-x
[15]. Zheng, C. (2021). Design strategies for immersive art therapy. New Art, 42(6), 257-263.
[16]. Gu, X., Gu, P., & Liu, Y., et al. (2017). Correlation of anxiety, depression, and sympathetic skin response in patients with chronic insomnia. Chinese Journal of Neurology, 50(9), 665-670.
[17]. Zadra, A., & Stickgold, R. (2021). When brains dream: Exploring the science and mystery of sleep. New York: W. W. Norton & Company.
[18]. Jones, B. E. (2005). From waking to sleeping: Neuronal and chemical substrates. Trends in Pharmacological Sciences, 26(11), 578-586.
[19]. Horowitz, H., & Jedidiah, A. (2022, August 19). Interfacing with dreams: Novel technologies and protocols for targeted dream incubation [EB/OL]. https://www.media.mit.edu/publications/interfacing-with-dreams-novel-technologies-and-protocols-for-targeted-dream-incubation/
[20]. Chen, Y. (2024). Embodied interactive therapy—Thoughts on Dream Visualization and Brain-Machine Dream Painting. Art, 2024(6), 54-56. https://doi.org/10.13864/j.cnki.cn11-1311/j.007421
[21]. Wu, X., & Xin, X. (2017). Application of gamified design in promoting user behavior change. Packaging Engineering, 38(20), 194-198. https://doi.org/10.19554/j.cnki.1001-3563.2017.20.039
Cite this article
Luo,Y. (2024). Feasibility Study on Art Therapy Methods for Sleep Disorder Groups Based on Artificial Intelligence Technology. Communications in Humanities Research,48,8-17.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
Disclaimer/Publisher's Note
The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of EWA Publishing and/or the editor(s). EWA Publishing and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
About volume
Volume title: Proceedings of the 3rd International Conference on Art, Design and Social Sciences
© 2024 by the author(s). Licensee EWA Publishing, Oxford, UK. This article is an open access article distributed under the terms and
conditions of the Creative Commons Attribution (CC BY) license. Authors who
publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons
Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this
series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published
version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial
publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and
during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See
Open access policy for details).